Xueqi Cheng

1003 papers A* 155A 102B 28C 20Misc 10Journal 433Unranked 251
YearRankTypeTitle / Venue / Authors
2026 J jnl
Bagging-Based Model Merging for Robust General Text Embeddings.
CoRR
Hengran Zhang, Keping Bi, Jiafeng Guo, Jiaming Zhang, Wenbo Yang, Daiting Shi, Xueqi Cheng
2026 J jnl
BaseCal: Unsupervised Confidence Calibration via Base Model Signals.
CoRR
Hexiang Tan, Wanli Yang, Junwei Zhang, Xin Chen, Rui Tang, Du Su, Jingang Wang, Yuanzhuo Wang, Fei Sun, Xueqi Cheng
2026 J jnl
Beyond Dialogue Time: Temporal Semantic Memory for Personalized LLM Agents.
CoRR
Miao Su, Yucan Guo, Zhongni Hou, Long Bai, Zixuan Li, Yufei Zhang, Guojun Yin, Wei Lin, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng
2026 J jnl
Circular Reasoning: Understanding Self-Reinforcing Loops in Large Reasoning Models.
CoRR
Zenghao Duan, Liang Pang, Zihao Wei, Wenbin Duan, Yuxin Tian, Shicheng Xu, Jingcheng Deng, Zhiyi Yin, Xueqi Cheng
2026 J jnl
CorpusBrain++: A Continual Generative Pre-Training Framework for Knowledge-Intensive Language Tasks.
ACM Trans. Inf. Syst.
Jiafeng Guo, Changjiang Zhou, Ruqing Zhang, Jiangui Chen, Maarten de Rijke, Yixing Fan, Xueqi Cheng
2026 A* conf
D-Models and E-Models: Diversity-Stability Trade-offs in the Sampling Behavior of Large Language Models.
WWW
Jia Gu, Liang Pang, Huawei Shen, Xueqi Cheng
2026 J jnl
D-Models and E-Models: Diversity-Stability Trade-offs in the Sampling Behavior of Large Language Models.
CoRR
Jia Gu, Liang Pang, Huawei Shen, Xueqi Cheng
2026 J jnl
DIVA-GRPO: Enhancing Multimodal Reasoning through Difficulty-Adaptive Variant Advantage.
CoRR
Haowen Gao, Zhenyu Zhang, Liang Pang, Fangda Guo, Hongjian Dou, Guannan Lv, Shaoguo Liu, Tingting Gao, Huawei Shen, Xueqi Cheng
2026 J jnl
Do We Always Need Query-Level Workflows? Rethinking Agentic Workflow Generation for Multi-Agent Systems.
CoRR
Zixu Wang, Bingbing Xu, Yige Yuan, Huawei Shen, Xueqi Cheng
2026 — conf
Event-Aware Video Corpus Moment Retrieval.
ECIR (1)
Danyang Hou, Liang Pang, Yanyan Lan, Huawei Shen, Xueqi Cheng
2026 J jnl
Gated Differentiable Working Memory for Long-Context Language Modeling.
CoRR
Lingrui Mei, Shenghua Liu, Yiwei Wang, Yuyao Ge, Baolong Bi, Jiayu Yao, Jun Wan, Ziling Yin, Jiafeng Guo, Xueqi Cheng
2026 J jnl
HighlightBench: Benchmarking Markup-Driven Table Reasoning in Scientific Documents.
CoRR
Lexin Wang, Shenghua Liu, Yiwei Wang, Yujun Cai, Yuyao Ge, Jiayu Yao, Jiafeng Guo, Xueqi Cheng
2026 A conf
How Do LLM-Generated Texts Impact Term-Based Retrieval Models?
WSDM
Wei Huang, Keping Bi, Yinqiong Cai, Wei Chen, Jiafeng Guo, Xueqi Cheng
2026 A conf
Identify-Conceptualize-Align: A Schema-Adaptive Framework for Unified Entity Recognition and Event Detection.
WSDM
Weicheng Ren, Zixuan Li, Long Bai, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng
2026 J jnl
Improving post-training structured pruning via two-stage reconstruction.
Expert Syst. Appl.
Chenhao Li, Lin Li, Zhibin Zhang, Qiang Qiu, Jiafeng Guo, Xueqi Cheng
2026 — conf
Iterative Structured Pruning for Large Language Models with Multi-Domain Calibration.
EACL (Industry Track)
Guangxin Wu, Hao Zhang, Zhibin Zhang, Jiafeng Guo, Xueqi Cheng
2026 J jnl
Iterative Structured Pruning for Large Language Models with Multi-Domain Calibration.
CoRR
Guangxin Wu, Hao Zhang, Zhibin Zhang, Jiafeng Guo, Xueqi Cheng
2026 A* conf
LongRanker: Efficient One-Pass Document Reranking with Long-Context Large Language Models.
WWW
Changjiang Zhou, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng
2026 J jnl
MI-PRUN: Optimize Large Language Model Pruning via Mutual Information.
CoRR
Hao Zhang, Zhibin Zhang, Guangxin Wu, He Chen, Jiafeng Guo, Xueqi Cheng
2026 J jnl
PersonaAct: Simulating Short-Video Users with Personalized Agents for Counterfactual Filter Bubble Auditing.
CoRR
Shilong Zhao, Qinggang Yang, Zhiyi Yin, Xiaoshi Wang, Zhenxing Chen, Du Su, Xueqi Cheng
2026 J jnl
Prism-Δ: Differential Subspace Steering for Prompt Highlighting in Large Language Models.
CoRR
Yuyao Ge, Shenghua Liu, Yiwei Wang, Tianyu Liu, Baolong Bi, Lingrui Mei, Jiayu Yao, Jiafeng Guo, Xueqi Cheng
2026 J jnl
Projecting Out the Malice: A Global Subspace Approach to LLM Detoxification.
CoRR
Zenghao Duan, Zhiyi Yin, Zhichao Shi, Liang Pang, Shaoling Jing, Zihe Huang, Jiayi Wu, Yu Yan, Jingcheng Deng, Huawei Shen, Xueqi Cheng
2026 J jnl
PromptCD: Test-Time Behavior Enhancement via Polarity-Prompt Contrastive Decoding.
CoRR
Baolong Bi, Yuyao Ge, Shenghua Liu, Yuchen He, Siqian Tong, Lizhe Chen, Lingrui Mei, Zehao Li, Yiwei Wang, Yujun Cai, Ming-Hsuan Yang, Xueqi Cheng
2026 A* conf
RLKD: Distilling LLMs' Reasoning via Reinforcement Learning.
AAAI
Shicheng Xu, Liang Pang, Yunchang Zhu, Jia Gu, Zihao Wei, Jingcheng Deng, Feiyang Pan, Huawei Shen, Xueqi Cheng
2026 A* conf
Rethinking Implicit Hate Speech Detection: Focusing on Latent Hate Components via Dual-Process Argumentation.
WWW
Shiqi Sun, Du Su, Wei Chen, Xueqi Cheng
2026 J jnl
Robust Neural Information Retrieval: An Adversarial and Out-of-Distribution Perspective.
ACM Trans. Inf. Syst.
Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng
2026 J jnl
Robust Recommender System: A Survey and Future Directions.
ACM Comput. Surv.
Kaike Zhang, Qi Cao, Fei Sun, Yunfan Wu, Shuchang Tao, Huawei Shen, Xueqi Cheng
2026 A* conf
Thinking Forward and Backward: Multi-Objective Reinforcement Learning for Retrieval-Augmented Reasoning.
AAAI
Wenda Wei, Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Lixin Su, Shuaiqiang Wang, Dawei Yin, Maarten de Rijke, Xueqi Cheng
2026 — conf
Towards Quantitative Summarization Evaluation: An Integrated Atomic-Based Evaluation Framework and Dataset for Text Summarization.
ECIR (1)
Yan Lei, Suncong Zheng, Roberts Wang, Liang Pang, Lei He, Shuang Chen, Yu Wang, Huawei Shen, Xueqi Cheng, Yuanzhuo Wang
2025 B conf
"Not Aligned" is Not "Malicious": Being Careful about Hallucinations of Large Language Models' Jailbreak.
COLING
Lingrui Mei, Shenghua Liu, Yiwei Wang, Baolong Bi, Jiayi Mao, Xueqi Cheng
2025 J jnl
'I Know You Are Discriminatory!': Automated Substantiating for Individual Fairness Auditing of AI Systems.
Proc. ACM Hum. Comput. Interact.
Yuanhao Liu, Qi Cao, Huawei Shen, Kaike Zhang, Yunfan Wu, Xueqi Cheng
2025 — conf
A Generative Framework for Personalized Sticker Retrieval.
EMNLP (Findings)
Changjiang Zhou, Ruqing Zhang, Jiafeng Guo, Yuan Liu, Fan Zhang, Ganyuan Luo, Xueqi Cheng
2025 J jnl
A Generative Framework for Personalized Sticker Retrieval.
CoRR
Changjiang Zhou, Ruqing Zhang, Jiafeng Guo, Yuan Liu, Fan Zhang, Ganyuan Luo, Xueqi Cheng
2025 J jnl
A Simple DropConnect Approach to Transfer-based Targeted Attack.
CoRR
Tongrui Su, Qingbin Li, Shengyu Zhu, Wei Chen, Xueqi Cheng
2025 A* conf
A Survey of Link Prediction in N-ary Knowledge Graphs.
EMNLP
Jiyao Wei, Saiping Guan, Da Li, Zhongni Hou, Miao Su, Yucan Guo, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng
2025 J jnl
A Survey of Link Prediction in N-ary Knowledge Graphs.
CoRR
Jiyao Wei, Saiping Guan, Da Li, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng
2025 J jnl
A Survey of Vibe Coding with Large Language Models.
CoRR
Yuyao Ge, Lingrui Mei, Zenghao Duan, Tianhao Li, Yujia Zheng, Yiwei Wang, Lexin Wang, Jiayu Yao, Tianyu Liu, Yujun Cai, Baolong Bi, Fangda Guo, Jiafeng Guo, Shenghua Liu, Xueqi Cheng
2025 A* conf
A Theory for Token-Level Harmonization in Retrieval-Augmented Generation.
ICLR
Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng
2025 — conf
ALiiCE: Evaluating Positional Fine-grained Citation Generation.
NAACL (Long Papers)
Yilong Xu, Jinhua Gao, Xiaoming Yu, Baolong Bi, Huawei Shen, Xueqi Cheng
2025 J jnl
ARIES: Relation Assessment and Model Recommendation for Deep Time Series Forecasting.
CoRR
Fei Wang, Yujie Li, Zezhi Shao, Chengqing Yu, Yisong Fu, Zhulin An, Yongjun Xu, Xueqi Cheng
2025 J jnl
Amplifying Your Social Media Presence: Personalized Influential Content Generation with LLMs.
CoRR
Yuying Zhao, Yu Wang, Xueqi Cheng, Anne M. Tumlin, Yunchao Liu, Damin Xia, Meng Jiang, Tyler Derr
2025 J jnl
Annotation-Efficient Universal Honesty Alignment.
CoRR
Shiyu Ni, Keping Bi, Jiafeng Guo, Minghao Tang, Jingtong Wu, Zengxin Han, Xueqi Cheng
2025 A* conf
Attack-in-the-Chain: Bootstrapping Large Language Models for Attacks Against Black-Box Neural Ranking Models.
AAAI
Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng
2025 — conf
BLAST: Balanced Sampling Time Series Corpus for Universal Forecasting Models.
KDD (2)
Zezhi Shao, Yujie Li, Fei Wang, Chengqing Yu, Yisong Fu, Tangwen Qian, Bin Xu, Boyu Diao, Yongjun Xu, Xueqi Cheng
2025 J jnl
BLAST: Balanced Sampling Time Series Corpus for Universal Forecasting Models.
CoRR
Zezhi Shao, Yujie Li, Fei Wang, Chengqing Yu, Yisong Fu, Tangwen Qian, Bin Xu, Boyu Diao, Yongjun Xu, Xueqi Cheng
2025 A* conf
BSFA: Leveraging the Subspace Dichotomy to Accelerate Neural Network Training.
EMNLP
Wenjie Zhou, Bohan Wang, Wei Chen, Xueqi Cheng
2025 J jnl
BSFA: Leveraging the Subspace Dichotomy to Accelerate Neural Network Training.
CoRR
Wenjie Zhou, Bohan Wang, Wei Chen, Xueqi Cheng
2025 — conf
BTS: A Comprehensive Benchmark for Tie Strength Prediction.
KDD (2)
Xueqi Cheng, Catherine Yang, Yuying Zhao, Yu Wang, Hamid Karimi, Tyler Derr
2025 A* conf
Boosting Retrieval-Augmented Generation with Generation-Augmented Retrieval: A Co-Training Approach.
SIGIR
Yubao Tang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng
2025 J jnl
BotTrans: A Multi-Source Graph Domain Adaptation Approach for Social Bot Detection.
CoRR
Boshen Shi, Yongqing Wang, Fangda Guo, Jiangli Shao, Huawei Shen, Xueqi Cheng
2025 — conf
BotTrans: A Multi-source Graph Domain Adaptation Approach for Social Bot Detection.
ECML/PKDD (3)
Boshen Shi, Yongqing Wang, Fangda Guo, Jiangli Shao, Huawei Shen, Xueqi Cheng
2025 A conf
Bridging Queries and Tables through Entities in Open-Domain Table Retrieval.
CIKM
Da Li, Keping Bi, Jiafeng Guo, Xueqi Cheng
2025 J jnl
Bridging Queries and Tables through Entities in Table Retrieval.
CoRR
Da Li, Keping Bi, Jiafeng Guo, Xueqi Cheng
2025 — conf
C2T-ID: Converting Semantic Codebooks to Textual Document Identifiers for Generative Search.
SIGIR-AP
Yingchen Zhang, Ruqing Zhang, Jiafeng Guo, Wenjun Peng, Sen Li, Fuyu Lv, Xueqi Cheng
2025 J jnl
C2T-ID: Converting Semantic Codebooks to Textual Document Identifiers for Generative Search.
CoRR
Yingchen Zhang, Ruqing Zhang, Jiafeng Guo, Wenjun Peng, Sen Li, Fuyu Lv, Xueqi Cheng
2025 J jnl
CAME: Competitively Learning a Mixture-of-Experts Model for First-stage Retrieval.
ACM Trans. Inf. Syst.
Jiafeng Guo, Yinqiong Cai, Keping Bi, Yixing Fan, Wei Chen, Ruqing Zhang, Xueqi Cheng
2025 A* conf
CLIPure: Purification in Latent Space via CLIP for Adversarially Robust Zero-Shot Classification.
ICLR
Mingkun Zhang, Keping Bi, Wei Chen, Jiafeng Guo, Xueqi Cheng
2025 J jnl
CLIPure: Purification in Latent Space via CLIP for Adversarially Robust Zero-Shot Classification.
CoRR
Mingkun Zhang, Keping Bi, Wei Chen, Jiafeng Guo, Xueqi Cheng
2025 — conf
CacheNoise: Accomplishing More Denoising Steps with Less Noise.
PRCV (2)
Feixiang Liu, Lin Li, Qiang Qiu, Yi Jin, Xiao Hu, Jiafeng Guo, Xueqi Cheng
2025 — conf
Can Graph Descriptive Order Affect Solving Graph Problems with LLMs?
ACL (1)
Yuyao Ge, Shenghua Liu, Baolong Bi, Yiwei Wang, Lingrui Mei, Wenjie Feng, Lizhe Chen, Xueqi Cheng
2025 J jnl
Can LLM Annotations Replace User Clicks for Learning to Rank?
CoRR
Lulu Yu, Keping Bi, Jiafeng Guo, Shihao Liu, Shuaiqiang Wang, Dawei Yin, Xueqi Cheng
2025 A* conf
Cross-Modal Safety Mechanism Transfer in Large Vision-Language Models.
ICLR
Shicheng Xu, Liang Pang, Yunchang Zhu, Huawei Shen, Xueqi Cheng
2025 — conf
Decoding by Contrasting Knowledge: Enhancing Large Language Model Confidence on Edited Facts.
ACL (1)
Baolong Bi, Shenghua Liu, Lingrui Mei, Yiwei Wang, Junfeng Fang, Pengliang Ji, Xueqi Cheng
2025 — conf
Distilling a Small Utility-Based Passage Selector to Enhance Retrieval-Augmented Generation.
SIGIR-AP
Hengran Zhang, Keping Bi, Jiafeng Guo, Jiaming Zhang, Shuaiqiang Wang, Dawei Yin, Xueqi Cheng
2025 J jnl
Distilling a Small Utility-Based Passage Selector to Enhance Retrieval-Augmented Generation.
CoRR
Hengran Zhang, Keping Bi, Jiafeng Guo, Jiaming Zhang, Shuaiqiang Wang, Dawei Yin, Xueqi Cheng
2025 J jnl
Distilling the Implicit Multi-Branch Structure in LLMs' Reasoning via Reinforcement Learning.
CoRR
Shicheng Xu, Liang Pang, Yunchang Zhu, Jia Gu, Zihao Wei, Jingcheng Deng, Feiyang Pan, Huawei Shen, Xueqi Cheng
2025 B conf
Do LLMs Play Dice? Exploring Probability Distribution Sampling in Large Language Models for Behavioral Simulation.
COLING
Jia Gu, Liang Pang, Huawei Shen, Xueqi Cheng
2025 J jnl
Does Generative Retrieval Overcome the Limitations of Dense Retrieval?
CoRR
Yingchen Zhang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng
2025 J jnl
Domain Adaptation for Graph Representation Learning: Challenges, Progress, and Prospects.
J. Comput. Sci. Technol.
Boshen Shi, Yongqing Wang, Fangda Guo, Bing-Bing Xu, Hua-Wei Shen, Xueqi Cheng
2025 A conf
Edge Classification on Graphs: New Directions in Topological Imbalance.
WSDM
Xueqi Cheng, Yu Wang, Yunchao Liu, Yuying Zhao, Charu C. Aggarwal, Tyler Derr
2025 A conf
Edge-Centric Network Analytics.
WSDM
Xueqi Cheng
2025 J jnl
Estimating Commonsense Plausibility through Semantic Shifts.
CoRR
Wanqing Cui, Keping Bi, Jiafeng Guo, Xueqi Cheng
2025 — conf
Evaluating Implicit Bias in Large Language Models by Attacking From a Psychometric Perspective.
ACL (Findings)
Yuchen Wen, Keping Bi, Wei Chen, Jiafeng Guo, Xueqi Cheng
2025 A* conf
Everything is Editable: Extend Knowledge Editing to Unstructured Data in Large Language Models.
ICLR
Jingcheng Deng, Zihao Wei, Liang Pang, Hanxing Ding, Huawei Shen, Xueqi Cheng
2025 J jnl
Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis.
IEEE Trans. Knowl. Data Eng.
Zezhi Shao, Fei Wang, Yongjun Xu, Wei Wei, Chengqing Yu, Zhao Zhang, Di Yao, Tao Sun, Guangyin Jin, Xin Cao, Gao Cong, Christian S. Jensen, Xueqi Cheng
2025 A* conf
Fact-Level Calibration and Correction for Long-Form Generations.
SIGIR
Yige Yuan, Bingbing Xu, Hexiang Tan, Fei Sun, Teng Xiao, Wei Li, Huawei Shen, Xueqi Cheng
2025 J jnl
Fairness and Diversity in Recommender Systems: A Survey.
ACM Trans. Intell. Syst. Technol.
Yuying Zhao, Yu Wang, Yunchao Liu, Xueqi Cheng, Charu C. Aggarwal, Tyler Derr
2025 J jnl
Fine-tuning Done Right in Model Editing.
CoRR
Wanli Yang, Fei Sun, Rui Tang, Hongyu Zang, Du Su, Qi Cao, Jingang Wang, Huawei Shen, Xueqi Cheng
2025 J jnl
Focusing by Contrastive Attention: Enhancing VLMs' Visual Reasoning.
CoRR
Yuyao Ge, Shenghua Liu, Yiwei Wang, Lingrui Mei, Baolong Bi, Xuanshan Zhou, Jiayu Yao, Jiafeng Guo, Xueqi Cheng
2025 A* conf
Following the Autoregressive Nature of LLM Embeddings via Compression and Alignment.
EMNLP
Jingcheng Deng, Zhongtao Jiang, Liang Pang, Zihao Wei, Liwei Chen, Kun Xu, Yang Song, Huawei Shen, Xueqi Cheng
2025 J jnl
Following the Autoregressive Nature of LLM Embeddings via Compression and Alignment.
CoRR
Jingcheng Deng, Zhongtao Jiang, Liang Pang, Liwei Chen, Kun Xu, Zihao Wei, Huawei Shen, Xueqi Cheng
2025 — conf
G2S: A General-to-Specific Learning Framework for Temporal Knowledge Graph Forecasting with Large Language Models.
ACL (Findings)
Long Bai, Zixuan Li, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng, Tat-Seng Chua
2025 J jnl
G2S: A General-to-Specific Learning Framework for Temporal Knowledge Graph Forecasting with Large Language Models.
CoRR
Long Bai, Zixuan Li, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng, Tat-Seng Chua
2025 J jnl
GSM-EL: A Generalizable Symbol-Manipulation Approach for Entity Linking.
IEEE Trans. Knowl. Data Eng.
Xueqi Cheng, Yuanzheng Wang, Yixing Fan, Jiafeng Guo, Ruqing Zhang, Keping Bi
2025 A* conf
Generative Ghost: Investigating Ranking Bias Hidden in AI-Generated Videos.
ACM Multimedia
Haowen Gao, Liang Pang, Shicheng Xu, Leigang Qu, Tat-Seng Chua, Huawei Shen, Xueqi Cheng
2025 J jnl
Generative Ghost: Investigating Ranking Bias Hidden in AI-Generated Videos.
CoRR
Haowen Gao, Liang Pang, Shicheng Xu, Leigang Qu, Tat-Seng Chua, Huawei Shen, Xueqi Cheng
2025 — conf
Generative Retrieval for Book Search.
KDD (1)
Yubao Tang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Shihao Liu, Shuaiqiang Wang, Dawei Yin, Xueqi Cheng
2025 J jnl
Generative Retrieval for Book search.
CoRR
Yubao Tang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Shihao Liu, Shuaiqing Wang, Dawei Yin, Xueqi Cheng
2025 J jnl
GloSS over Toxicity: Understanding and Mitigating Toxicity in LLMs via Global Toxic Subspace.
CoRR
Zenghao Duan, Zhiyi Yin, Zhichao Shi, Liang Pang, Shaoling Jing, Jiayi Wu, Yu Yan, Huawei Shen, Xueqi Cheng
2025 J jnl
How Do LLM-Generated Texts Impact Term-Based Retrieval Models?
CoRR
Wei Huang, Keping Bi, Yinqiong Cai, Wei Chen, Jiafeng Guo, Xueqi Cheng
2025 J jnl
How Knowledge Popularity Influences and Enhances LLM Knowledge Boundary Perception.
CoRR
Shiyu Ni, Keping Bi, Jiafeng Guo, Xueqi Cheng
2025 B conf
Inductive Link Prediction in N-ary Knowledge Graphs.
COLING
Jiyao Wei, Saiping Guan, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng
2025 J jnl
Inference-time Alignment in Continuous Space.
CoRR
Yige Yuan, Teng Xiao, Li Yunfan, Bingbing Xu, Shuchang Tao, Yunqi Qiu, Huawei Shen, Xueqi Cheng
2025 A* conf
InfoNCE is a Free Lunch for Semantically guided Graph Contrastive Learning.
SIGIR
Zixu Wang, Bingbing Xu, Yige Yuan, Huawei Shen, Xueqi Cheng
2025 J jnl
InfoNCE is a Free Lunch for Semantically guided Graph Contrastive Learning.
CoRR
Zixu Wang, Bingbing Xu, Yige Yuan, Huawei Shen, Xueqi Cheng
2025 J jnl
Innate Reasoning is Not Enough: In-Context Learning Enhances Reasoning Large Language Models with Less Overthinking.
CoRR
Yuyao Ge, Shenghua Liu, Yiwei Wang, Lingrui Mei, Lizhe Chen, Baolong Bi, Xueqi Cheng
2025 A* conf
Is Factuality Enhancement a Free Lunch For LLMs? Better Factuality Can Lead to Worse Context-Faithfulness.
ICLR
Baolong Bi, Shenghua Liu, Yiwei Wang, Lingrui Mei, Junfeng Fang, Hongcheng Gao, Shiyu Ni, Xueqi Cheng
2025 A* conf
Jailbreak LLMs through Internal Stance Manipulation.
EMNLP
Shuangjie Fu, Du Su, Beining Huang, Fei Sun, Jingang Wang, Wei Chen, Huawei Shen, Xueqi Cheng
2025 J jnl
KnowCoder-V2: Deep Knowledge Analysis.
CoRR
Zixuan Li, Wenxuan Liu, Long Bai, Chunmao Zhang, Wei Li, Fenghui Zhang, Quanxin Jin, Ruoyun He, Zhuo Chen, Zhilei Hu, Fei Wang, Bingbing Xu, Xuhui Jiang, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng
2025 — conf
KnowCoder-X: Boosting Multilingual Information Extraction via Code.
ACL (Findings)
Yuxin Zuo, Wenxuan Jiang, Wenxuan Liu, Zixuan Li, Long Bai, Hanbin Wang, Yutao Zeng, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng
2025 J jnl
LLM-Specific Utility: A New Perspective for Retrieval-Augmented Generation.
CoRR
Hengran Zhang, Keping Bi, Jiafeng Guo, Jiaming Zhang, Shuaiqiang Wang, Dawei Yin, Xueqi Cheng
2025 — conf
LLM4MEA: Data-free Model Extraction Attacks on Sequential Recommenders via Large Language Models.
SIGIR-AP
Shilong Zhao, Fei Sun, Kaike Zhang, Shaoling Jing, Du Su, Zhichao Shi, Zhiyi Yin, Huawei Shen, Xueqi Cheng
2025 J jnl
LLM4MEA: Data-free Model Extraction Attacks on Sequential Recommenders via Large Language Models.
CoRR
Shilong Zhao, Fei Sun, Kaike Zhang, Shaoling Jing, Du Su, Zhichao Shi, Zhiyi Yin, Huawei Shen, Xueqi Cheng
2025 J jnl
LLMs as Sparse Retrievers:A Framework for First-Stage Product Search.
CoRR
Hongru Song, Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Sen Li, Wenjun Peng, Fuyu Lv, Xueqi Cheng
2025 J jnl
Large Language Model Sourcing: A Survey.
CoRR
Liang Pang, Kangxi Wu, Sunhao Dai, Zihao Wei, Zenghao Duan, Jia Gu, Xiang Li, Zhiyi Yin, Jun Xu, Huawei Shen, Xueqi Cheng
2025 B conf
Large Language Model-Based Event Relation Extraction with Rationales.
COLING
Zhilei Hu, Zixuan Li, Xiaolong Jin, Long Bai, Jiafeng Guo, Xueqi Cheng
2025 J jnl
Latent Reasoning in LLMs as a Vocabulary-Space Superposition.
CoRR
Jingcheng Deng, Liang Pang, Zihao Wei, Shicheng Xu, Zenghao Duan, Kun Xu, Yang Song, Huawei Shen, Xueqi Cheng
2025 A conf
Let Topology Speak: Graph Neural Network with Topology-Aware Augmentation.
CIKM
Kangzhuo Chen, Xiaoqian Sun, Huawei Shen, Xueqi Cheng
2025 J jnl
Leveraging LLMs for Utility-Focused Annotation: Reducing Manual Effort for Retrieval and RAG.
CoRR
Hengran Zhang, Minghao Tang, Keping Bi, Jiafeng Guo, Shihao Liu, Daiting Shi, Dawei Yin, Xueqi Cheng
2025 — conf
Low-Entropy Watermark Detection via Bayes' Rule Derived Detector.
ACL (Findings)
Beining Huang, Du Su, Fei Sun, Qi Cao, Huawei Shen, Xueqi Cheng
2025 J jnl
MISLEADER: Defending against Model Extraction with Ensembles of Distilled Models.
CoRR
Xueqi Cheng, Minxing Zheng, Shixiang Zhu, Yushun Dong
2025 B conf
MLaKE: Multilingual Knowledge Editing Benchmark for Large Language Models.
COLING
Zihao Wei, Jingcheng Deng, Liang Pang, Hanxing Ding, Huawei Shen, Xueqi Cheng
2025 A* conf
MPRF: Interpretable Stance Detection through Multi-Path Reasoning Framework.
EMNLP
Zhaodan Zhang, Jin Zhang, Hui Xu, Jiafeng Guo, Xueqi Cheng
2025 — conf
MPVStance: Mitigating Hallucinations in Stance Detection with Multi-Perspective Verification.
ACL (1)
Zhaodan Zhang, Zhao Zhang, Jin Zhang, Hui Xu, Xueqi Cheng
2025 — conf
MVAM: Multi-View Attention Method for Fine-Grained Image-Text Matching.
ECIR (2)
Wanqing Cui, Rui Cheng, Jiafeng Guo, Xueqi Cheng
2025 J jnl
Mixture Policy based Multi-Hop Reasoning over N-tuple Temporal Knowledge Graphs.
CoRR
Zhongni Hou, Miao Su, Xiaolong Jin, Zixuan Li, Long Bai, Jiafeng Guo, Xueqi Cheng
2025 J jnl
NAPPure: Adversarial Purification for Robust Image Classification under Non-Additive Perturbations.
CoRR
Junjie Nan, Jianing Li, Wei Chen, Mingkun Zhang, Xueqi Cheng
2025 J jnl
Not in Sync: Unveiling Temporal Bias in Audio Chat Models.
CoRR
Jiayu Yao, Shenghua Liu, Yiwei Wang, Rundong Cheng, Lingrui Mei, Baolong Bi, Zhen Xiong, Xueqi Cheng
2025 — conf
On the Diminishing Returns of Complex Robust RAG Training in the Era of Powerful LLMs.
SIGIR-AP
Hanxing Ding, Shuchang Tao, Liang Pang, Zihao Wei, Liwei Chen, Kun Xu, Huawei Shen, Xueqi Cheng
2025 — conf
On the Robustness of Generative Information Retrieval Models: An Out-of-Distribution Perspective.
ECIR (2)
Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Changjiang Zhou, Maarten de Rijke, Xueqi Cheng
2025 A* conf
On the Scaling of Robustness and Effectiveness in Dense Retrieval.
SIGIR
Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng
2025 J jnl
On the Scaling of Robustness and Effectiveness in Dense Retrieval.
CoRR
Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng
2025 J jnl
Parameters vs. Context: Fine-Grained Control of Knowledge Reliance in Language Models.
CoRR
Baolong Bi, Shenghua Liu, Yiwei Wang, Yilong Xu, Junfeng Fang, Lingrui Mei, Xueqi Cheng
2025 A* conf
Personalized Denoising Implicit Feedback for Robust Recommender System.
WWW
Kaike Zhang, Qi Cao, Yunfan Wu, Fei Sun, Huawei Shen, Xueqi Cheng
2025 J jnl
Personalized Denoising Implicit Feedback for Robust Recommender System.
CoRR
Kaike Zhang, Qi Cao, Yunfan Wu, Fei Sun, Huawei Shen, Xueqi Cheng
2025 — conf
QUITO-X: A New Perspective on Context Compression from the Information Bottleneck Theory.
EMNLP (Findings)
Yihang Wang, Xu Huang, Bowen Tian, Yueyang Su, Lei Yu, Huaming Liao, Yixing Fan, Jiafeng Guo, Xueqi Cheng
2025 J jnl
Reasoning-enhanced Query Understanding through Decomposition and Interpretation.
CoRR
Yunfei Zhong, Jun Yang, Yixing Fan, Jiafeng Guo, Lixin Su, Maarten de Rijke, Ruqing Zhang, Dawei Yin, Xueqi Cheng
2025 J jnl
RefineX: Learning to Refine Pre-training Data at Scale from Expert-Guided Programs.
CoRR
Baolong Bi, Shenghua Liu, Xingzhang Ren, Dayiheng Liu, Junyang Lin, Yiwei Wang, Lingrui Mei, Junfeng Fang, Jiafeng Guo, Xueqi Cheng
2025 — conf
Related Knowledge Perturbation Matters: Rethinking Multiple Pieces of Knowledge Editing in Same-Subject.
NAACL (Short Papers)
Zenghao Duan, Wenbin Duan, Zhiyi Yin, Yinghan Shen, Shaoling Jing, Jie Zhang, Huawei Shen, Xueqi Cheng
2025 J jnl
Related Knowledge Perturbation Matters: Rethinking Multiple Pieces of Knowledge Editing in Same-Subject.
CoRR
Zenghao Duan, Wenbin Duan, Zhiyi Yin, Yinghan Shen, Shaoling Jing, Jie Zhang, Huawei Shen, Xueqi Cheng
2025 A* conf
Rethinking Machine Unlearning in Image Generation Models.
CCS
Renyang Liu, Wenjie Feng, Tianwei Zhang, Wei Zhou, Xueqi Cheng, See-Kiong Ng
2025 J jnl
Rethinking Machine Unlearning in Image Generation Models.
CoRR
Renyang Liu, Wenjie Feng, Tianwei Zhang, Wei Zhou, Xueqi Cheng, See-Kiong Ng
2025 J jnl
Retriever-generator-verification: A novel approach to enhancing factual coherence in open-domain question answering.
Inf. Process. Manag.
Shiqi Sun, Kun Zhang, Jingyuan Li, Min Yu, Kun Hou, Yuanzhuo Wang, Xueqi Cheng
2025 J jnl
Reverse Physician-AI Relationship: Full-process Clinical Diagnosis Driven by a Large Language Model.
CoRR
Shicheng Xu, Xin Huang, Zihao Wei, Liang Pang, Huawei Shen, Xueqi Cheng
2025 J jnl
Revisiting Robust RAG: Do We Still Need Complex Robust Training in the Era of Powerful LLMs?
CoRR
Hanxing Ding, Shuchang Tao, Liang Pang, Zihao Wei, Liwei Chen, Kun Xu, Huawei Shen, Xueqi Cheng
2025 J jnl
Reward and Guidance through Rubrics: Promoting Exploration to Improve Multi-Domain Reasoning.
CoRR
Baolong Bi, Shenghua Liu, Yiwei Wang, Siqian Tong, Lingrui Mei, Yuyao Ge, Yilong Xu, Jiafeng Guo, Xueqi Cheng
2025 J jnl
RouteRAG: Efficient Retrieval-Augmented Generation from Text and Graph via Reinforcement Learning.
CoRR
Yucan Guo, Miao Su, Saiping Guan, Zihao Sun, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng
2025 — conf
Rowen: Adaptive Retrieval-Augmented Generation for Hallucination Mitigation in LLMs.
SIGIR-AP
Hanxing Ding, Liang Pang, Zihao Wei, Huawei Shen, Xueqi Cheng
2025 — conf
SafetyQuizzer: Timely and Dynamic Evaluation on the Safety of LLMs.
NAACL (Long Papers)
Zhichao Shi, Shaoling Jing, Yi Cheng, Hao Zhang, Yuanzhuo Wang, Jie Zhang, Huawei Shen, Xueqi Cheng
2025 J jnl
Segmenting Action-Value Functions over Time Scales in SARSA via TD(Δ).
Algorithms
Mahammad Humayoo, Gengzhong Zheng, Xiaoqing Dong, Wei Huang, Liming Miao, Shuwei Qiu, Zexun Zhou, Peitao Wang, Zakir Ullah, Naveed Ur Rehman Junejo, Xueqi Cheng
2025 A* conf
Speculative Safety-Aware Decoding.
EMNLP
Xuekang Wang, Shengyu Zhu, Xueqi Cheng
2025 J jnl
Speculative Safety-Aware Decoding.
CoRR
Xuekang Wang, Shengyu Zhu, Xueqi Cheng
2025 J jnl
Stop Spinning Wheels: Mitigating LLM Overthinking via Mining Patterns for Early Reasoning Exit.
CoRR
Zihao Wei, Liang Pang, Jiahao Liu, Jingcheng Deng, Shicheng Xu, Zenghao Duan, Jingang Wang, Fei Sun, Xunliang Cai, Huawei Shen, Xueqi Cheng
2025 J jnl
StruProKGR: A Structural and Probabilistic Framework for Sparse Knowledge Graph Reasoning.
CoRR
Yucan Guo, Saiping Guan, Miao Su, Zeya Zhao, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng
2025 A* conf
T-MAD: Target-driven Multimodal Alignment for Stance Detection.
EMNLP
Zhaodan Zhang, Jin Zhang, Xueqi Cheng, Hui Xu
2025 A* conf
Tailoring Table Retrieval from a Field-aware Hybrid Matching Perspective.
EMNLP
Da Li, Keping Bi, Jiafeng Guo, Xueqi Cheng
2025 J jnl
Tailoring Table Retrieval from a Field-aware Hybrid Matching Perspective.
CoRR
Da Li, Keping Bi, Jiafeng Guo, Xueqi Cheng
2025 J jnl
Temporal knowledge graph diffusion model for open-world reasoning.
Sci. China Inf. Sci.
Yuhan Wang, Xiang Zhao, Zhen Tan, Weidong Xiao, Xueqi Cheng
2025 — conf
Text2Sql: Pure Fine-Tuning and Pure Knowledge Distillation.
NAACL (Industry Track)
Gao yu Zhu, Wei Shao, Xichou Zhu, Lei Yu, Jiafeng Guo, Xueqi Cheng
2025 — conf
The Mirage of Model Editing: Revisiting Evaluation in the Wild.
ACL (1)
Wanli Yang, Fei Sun, Jiajun Tan, Xinyu Ma, Qi Cao, Dawei Yin, Huawei Shen, Xueqi Cheng
2025 J jnl
The Mirage of Model Editing: Revisiting Evaluation in the Wild.
CoRR
Wanli Yang, Fei Sun, Jiajun Tan, Xinyu Ma, Qi Cao, Dawei Yin, Huawei Shen, Xueqi Cheng
2025 — conf
The Silent Saboteur: Imperceptible Adversarial Attacks against Black-Box Retrieval-Augmented Generation Systems.
ACL (Findings)
Hongru Song, Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Jianming Lv, Maarten de Rijke, Xueqi Cheng
2025 J jnl
The Silent Saboteur: Imperceptible Adversarial Attacks against Black-Box Retrieval-Augmented Generation Systems.
CoRR
Hongru Song, Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Jianming Lv, Maarten de Rijke, Xueqi Cheng
2025 J jnl
Thinking Forward and Backward: Multi-Objective Reinforcement Learning for Retrieval-Augmented Reasoning.
CoRR
Wenda Wei, Yuan Liu, Ruqing Zhang, Jiafeng Guo, Lixin Su, Shuaiqiang Wang, Dawei Yin, Maarten de Rijke, Xueqi Cheng
2025 A* conf
Too Consistent to Detect: A Study of Self-Consistent Errors in LLMs.
EMNLP
Hexiang Tan, Fei Sun, Sha Liu, Du Su, Qi Cao, Xin Chen, Jingang Wang, Xunliang Cai, Yuanzhuo Wang, Huawei Shen, Xueqi Cheng
2025 J jnl
Too Consistent to Detect: A Study of Self-Consistent Errors in LLMs.
CoRR
Hexiang Tan, Fei Sun, Sha Liu, Du Su, Qi Cao, Xin Chen, Jingang Wang, Xunliang Cai, Yuanzhuo Wang, Huawei Shen, Xueqi Cheng
2025 — conf
ToolCoder: A Systematic Code-Empowered Tool Learning Framework for Large Language Models.
ACL (1)
Hanxing Ding, Shuchang Tao, Liang Pang, Zihao Wei, Jinyang Gao, Bolin Ding, Huawei Shen, Xueqi Cheng
2025 J jnl
ToolCoder: A Systematic Code-Empowered Tool Learning Framework for Large Language Models.
CoRR
Hanxing Ding, Shuchang Tao, Liang Pang, Zihao Wei, Jinyang Gao, Bolin Ding, Huawei Shen, Xueqi Cheng
2025 A* conf
Towards Event Extraction with Massive Types: LLM-based Collaborative Annotation and Partitioning Extraction.
EMNLP
Wenxuan Liu, Zixuan Li, Long Bai, Yuxin Zuo, Daozhu Xu, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng
2025 J jnl
Towards Event Extraction with Massive Types: LLM-based Collaborative Annotation and Partitioning Extraction.
CoRR
Wenxuan Liu, Zixuan Li, Long Bai, Yuxin Zuo, Daozhu Xu, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng
2025 — conf
Towards Fully Exploiting LLM Internal States to Enhance Knowledge Boundary Perception.
ACL (1)
Shiyu Ni, Keping Bi, Jiafeng Guo, Lulu Yu, Baolong Bi, Xueqi Cheng
2025 J jnl
Towards Fully Exploiting LLM Internal States to Enhance Knowledge Boundary Perception.
CoRR
Shiyu Ni, Keping Bi, Jiafeng Guo, Lulu Yu, Baolong Bi, Xueqi Cheng
2025 J jnl
Towards Robust Universal Information Extraction: Benchmark, Evaluation, and Solution.
CoRR
Jizhao Zhu, Akang Shi, Zixuan Li, Long Bai, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng
2025 — conf
Towards Robust Universal Information Extraction: Dataset, Evaluation, and Solution.
ACL (1)
Jizhao Zhu, Akang Shi, Zixuan Li, Long Bai, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng
2025 J jnl
Towards Trustworthy Retrieval Augmented Generation for Large Language Models: A Survey.
CoRR
Bo Ni, Zheyuan Liu, Leyao Wang, Yongjia Lei, Yuying Zhao, Xueqi Cheng, Qingkai Zeng, Luna Dong, Yinglong Xia, Krishnaram Kenthapadi, Ryan A. Rossi, Franck Dernoncourt, Md. Mehrab Tanjim, Nesreen K. Ahmed, Xiaorui Liu, Wenqi Fan, Erik Blasch, Yu Wang, Meng Jiang, Tyler Derr
2025 A* conf
Training a Utility-based Retriever Through Shared Context Attribution for Retrieval-Augmented Language Models.
EMNLP
Yilong Xu, Jinhua Gao, Xiaoming Yu, Yuanhai Xue, Baolong Bi, Huawei Shen, Xueqi Cheng
2025 J jnl
Training a Utility-based Retriever Through Shared Context Attribution for Retrieval-Augmented Language Models.
CoRR
Yilong Xu, Jinhua Gao, Xiaoming Yu, Yuanhai Xue, Baolong Bi, Huawei Shen, Xueqi Cheng
2025 J jnl
TrustRAG: An Information Assistant with Retrieval Augmented Generation.
CoRR
Yixing Fan, Qiang Yan, Wenshan Wang, Jiafeng Guo, Ruqing Zhang, Xueqi Cheng
2025 — conf
Unbiased Learning to Rank with Query-Level Click Propensity Estimation: Beyond Pointwise Observation and Relevance.
WWW (Companion Volume)
Lulu Yu, Keping Bi, Jiafeng Guo, Shihao Liu, Dawei Yin, Xueqi Cheng
2025 J jnl
Unbiased Learning to Rank with Query-Level Click Propensity Estimation: Beyond Pointwise Observation and Relevance.
CoRR
Lulu Yu, Keping Bi, Jiafeng Guo, Shihao Liu, Dawei Yin, Xueqi Cheng
2025 J jnl
Unleashing the Power of LLMs in Dense Retrieval with Query Likelihood Modeling.
CoRR
Hengran Zhang, Keping Bi, Jiafeng Guo, Xiaojie Sun, Shihao Liu, Daiting Shi, Dawei Yin, Xueqi Cheng
2025 A* conf
Utility-Focused LLM Annotation for Retrieval and Retrieval-Augmented Generation.
EMNLP
Hengran Zhang, Minghao Tang, Keping Bi, Jiafeng Guo, Shihao Liu, Daiting Shi, Dawei Yin, Xueqi Cheng
2025 — conf
VeriCite: Towards Reliable Citations in Retrieval-Augmented Generation via Rigorous Verification.
SIGIR-AP
Haosheng Qian, Yixing Fan, Jiafeng Guo, Ruqing Zhang, Qi Chen, Dawei Yin, Xueqi Cheng
2025 J jnl
VeriCite: Towards Reliable Citations in Retrieval-Augmented Generation via Rigorous Verification.
CoRR
Haosheng Qian, Yixing Fan, Jiafeng Guo, Ruqing Zhang, Qi Chen, Dawei Yin, Xueqi Cheng
2025 A* conf
Who is in the Spotlight: The Hidden Bias Undermining Multimodal Retrieval-Augmented Generation.
EMNLP
Jiayu Yao, Shenghua Liu, Yiwei Wang, Lingrui Mei, Baolong Bi, Yuyao Ge, Zhecheng Li, Xueqi Cheng
2025 J jnl
Who is in the Spotlight: The Hidden Bias Undermining Multimodal Retrieval-Augmented Generation.
CoRR
Jiayu Yao, Shenghua Liu, Yiwei Wang, Lingrui Mei, Baolong Bi, Yuyao Ge, Zhecheng Li, Xueqi Cheng
2025 J jnl
a1: Steep Test-time Scaling Law via Environment Augmented Generation.
CoRR
Lingrui Mei, Shenghua Liu, Yiwei Wang, Baolong Bi, Yuyao Ge, Jun Wan, Yurong Wu, Xueqi Cheng
2024 J jnl
"Not Aligned" is Not "Malicious": Being Careful about Hallucinations of Large Language Models' Jailbreak.
CoRR
Lingrui Mei, Shenghua Liu, Yiwei Wang, Baolong Bi, Jiayi Mao, Xueqi Cheng
2024 J jnl
A Comprehensive Analysis of Social Tie Strength: Definitions, Prediction Methods, and Future Directions.
CoRR
Xueqi Cheng, Catherine Yang, Yuying Zhao, Yu Wang, Hamid Karimi, Tyler Derr
2024 A conf
A Multi-Granularity-Aware Aspect Learning Model for Multi-Aspect Dense Retrieval.
WSDM
Xiaojie Sun, Keping Bi, Jiafeng Guo, Sihui Yang, Qishen Zhang, Zhongyi Liu, Guannan Zhang, Xueqi Cheng
2024 J jnl
A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications.
IEEE Trans. Knowl. Data Eng.
Yi Zhang, Yuying Zhao, Zhaoqing Li, Xueqi Cheng, Yu Wang, Olivera Kotevska, Philip S. Yu, Tyler Derr
2024 A* conf
A Topological Perspective on Demystifying GNN-Based Link Prediction Performance.
ICLR
Yu Wang, Tong Zhao, Yuying Zhao, Yunchao Liu, Xueqi Cheng, Neil Shah, Tyler Derr
2024 J jnl
A Unified Causal View of Instruction Tuning.
CoRR
Lu Chen, Wei Huang, Ruqing Zhang, Wei Chen, Jiafeng Guo, Xueqi Cheng
2024 J jnl
ALiiCE: Evaluating Positional Fine-grained Citation Generation.
CoRR
Yilong Xu, Jinhua Gao, Xiaoming Yu, Baolong Bi, Huawei Shen, Xueqi Cheng
2024 — conf
Adaptive Token Biaser: Knowledge Editing via Biasing Key Entities.
EMNLP (Findings)
Baolong Bi, Shenghua Liu, Yiwei Wang, Lingrui Mei, Hongcheng Gao, Yilong Xu, Xueqi Cheng
2024 J jnl
Adaptive Token Biaser: Knowledge Editing via Biasing Key Entities.
CoRR
Baolong Bi, Shenghua Liu, Yiwei Wang, Lingrui Mei, Hongcheng Gao, Yilong Xu, Xueqi Cheng
2024 J jnl
AlignXIE: Improving Multilingual Information Extraction by Cross-Lingual Alignment.
CoRR
Yuxin Zuo, Wenxuan Jiang, Wenxuan Liu, Zixuan Li, Long Bai, Hanbin Wang, Yutao Zeng, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng
2024 — conf
An In-Context Schema Understanding Method for Knowledge Base Question Answering.
KSEM (1)
Yantao Liu, Zixuan Li, Xiaolong Jin, Yucan Guo, Long Bai, Saiping Guan, Jiafeng Guo, Xueqi Cheng
2024 A* conf
Are Large Language Models Good at Utility Judgments?
SIGIR
Hengran Zhang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng
2024 J jnl
Are Large Language Models Good at Utility Judgments?
CoRR
Hengran Zhang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng
2024 J jnl
Attack-in-the-Chain: Bootstrapping Large Language Models for Attacks Against Black-box Neural Ranking Models.
CoRR
Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng
2024 — conf
Blinded by Generated Contexts: How Language Models Merge Generated and Retrieved Contexts When Knowledge Conflicts?
ACL (1)
Hexiang Tan, Fei Sun, Wanli Yang, Yuanzhuo Wang, Qi Cao, Xueqi Cheng
2024 J jnl
Blinded by Generated Contexts: How Language Models Merge Generated and Retrieved Contexts for Open-Domain QA?
CoRR
Hexiang Tan, Fei Sun, Wanli Yang, Yuanzhuo Wang, Qi Cao, Xueqi Cheng
2024 — conf
Bootstrapped Pre-training with Dynamic Identifier Prediction for Generative Retrieval.
ACL (Findings)
Yubao Tang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng
2024 J jnl
Bootstrapped Pre-training with Dynamic Identifier Prediction for Generative Retrieval.
CoRR
Yubao Tang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng
2024 A* conf
CausalDiff: Causality-Inspired Disentanglement via Diffusion Model for Adversarial Defense.
NeurIPS
Mingkun Zhang, Keping Bi, Wei Chen, Quanrun Chen, Jiafeng Guo, Xueqi Cheng
2024 J jnl
CausalDiff: Causality-Inspired Disentanglement via Diffusion Model for Adversarial Defense.
CoRR
Mingkun Zhang, Keping Bi, Wei Chen, Quanrun Chen, Jiafeng Guo, Xueqi Cheng
2024 — conf
Class-Incremental Few-Shot Event Detection.
LREC/COLING
Kailin Zhao, Xiaolong Jin, Long Bai, Jiafeng Guo, Xueqi Cheng
2024 J jnl
Class-Incremental Few-Shot Event Detection.
CoRR
Kailin Zhao, Xiaolong Jin, Long Bai, Jiafeng Guo, Xueqi Cheng
2024 A conf
Classifier Guidance Enhances Diffusion-Based Adversarial Purification by Preserving Predictive Information.
ECAI
Mingkun Zhang, Jianing Li, Wei Chen, Jiafeng Guo, Xueqi Cheng
2024 J jnl
Classifier Guidance Enhances Diffusion-based Adversarial Purification by Preserving Predictive Information.
CoRR
Mingkun Zhang, Jianing Li, Wei Chen, Jiafeng Guo, Xueqi Cheng
2024 — conf
Controlling Risk of Retrieval-augmented Generation: A Counterfactual Prompting Framework.
EMNLP (Findings)
Lu Chen, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Xueqi Cheng
2024 J jnl
Controlling Risk of Retrieval-augmented Generation: A Counterfactual Prompting Framework.
CoRR
Lu Chen, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Xueqi Cheng
2024 J jnl
CorpusBrain++: A Continual Generative Pre-Training Framework for Knowledge-Intensive Language Tasks.
CoRR
Jiafeng Guo, Changjiang Zhou, Ruqing Zhang, Jiangui Chen, Maarten de Rijke, Yixing Fan, Xueqi Cheng
2024 J jnl
Cross-Modal Safety Mechanism Transfer in Large Vision-Language Models.
CoRR
Shicheng Xu, Liang Pang, Yunchang Zhu, Huawei Shen, Xueqi Cheng
2024 J jnl
Cross-Model Comparative Loss for Enhancing Neuronal Utility in Language Understanding.
ACM Trans. Inf. Syst.
Yunchang Zhu, Liang Pang, Kangxi Wu, Yanyan Lan, Huawei Shen, Xueqi Cheng
2024 J jnl
Decoding by Contrasting Knowledge: Enhancing LLMs' Confidence on Edited Facts.
CoRR
Baolong Bi, Shenghua Liu, Lingrui Mei, Yiwei Wang, Pengliang Ji, Xueqi Cheng
2024 J jnl
Do LLMs Play Dice? Exploring Probability Distribution Sampling in Large Language Models for Behavioral Simulation.
CoRR
Jia Gu, Liang Pang, Huawei Shen, Xueqi Cheng
2024 J jnl
ESC: Edge-attributed Skyline Community Search in Large-scale Bipartite Graphs.
CoRR
Fangda Guo, Xuanpu Luo, Yanghao Liu, Guoxin Chen, Yongqing Wang, Huawei Shen, Xueqi Cheng
2024 J jnl
Edge Classification on Graphs: New Directions in Topological Imbalance.
CoRR
Xueqi Cheng, Yu Wang, Yunchao Liu, Yuying Zhao, Charu C. Aggarwal, Tyler Derr
2024 A* conf
Enhancing Training Data Attribution for Large Language Models with Fitting Error Consideration.
EMNLP
Kangxi Wu, Liang Pang, Huawei Shen, Xueqi Cheng
2024 J jnl
Enhancing Training Data Attribution for Large Language Models with Fitting Error Consideration.
CoRR
Kangxi Wu, Liang Pang, Huawei Shen, Xueqi Cheng
2024 J jnl
Evaluating Implicit Bias in Large Language Models by Attacking From a Psychometric Perspective.
CoRR
Yuchen Wen, Keping Bi, Wei Chen, Jiafeng Guo, Xueqi Cheng
2024 J jnl
Event-aware Video Corpus Moment Retrieval.
CoRR
Danyang Hou, Liang Pang, Huawei Shen, Xueqi Cheng
2024 A conf
FCS-HGNN: Flexible Multi-type Community Search in Heterogeneous Information Networks.
CIKM
Guoxin Chen, Fangda Guo, Yongqing Wang, Yanghao Liu, Peiying Yu, Huawei Shen, Xueqi Cheng
2024 J jnl
Fact-Level Confidence Calibration and Self-Correction.
CoRR
Yige Yuan, Bingbing Xu, Hexiang Tan, Fei Sun, Teng Xiao, Wei Li, Huawei Shen, Xueqi Cheng
2024 — conf
Few-shot Link Prediction on Hyper-relational Facts.
LREC/COLING
Jiyao Wei, Saiping Guan, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng
2024 A conf
GaQR: An Efficient Generation-augmented Question Rewriter.
CIKM
Oliver Young, Yixing Fan, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Xueqi Cheng
2024 A* conf
Generative Retrieval Meets Multi-Graded Relevance.
NeurIPS
Yubao Tang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Wei Chen, Xueqi Cheng
2024 J jnl
Generative Retrieval Meets Multi-Graded Relevance.
CoRR
Yubao Tang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Wei Chen, Xueqi Cheng
2024 J jnl
Graph Adversarial Immunization for Certifiable Robustness.
IEEE Trans. Knowl. Data Eng.
Shuchang Tao, Qi Cao, Huawei Shen, Yunfan Wu, Liang Hou, Xueqi Cheng
2024 J jnl
Graph Descriptive Order Improves Reasoning with Large Language Model.
CoRR
Yuyao Ge, Shenghua Liu, Wenjie Feng, Lingrui Mei, Lizhe Chen, Xueqi Cheng
2024 J jnl
Graph Domain Adaptation: Challenges, Progress and Prospects.
CoRR
Boshen Shi, Yongqing Wang, Fangda Guo, Bingbing Xu, Huawei Shen, Xueqi Cheng
2024 A conf
Graph Summarization for Preserving Spectral Characteristics.
SDM
Houquan Zhou, Shenghua Liu, Huawei Shen, Xueqi Cheng
2024 J jnl
HiddenGuard: Fine-Grained Safe Generation with Specialized Representation Router.
CoRR
Lingrui Mei, Shenghua Liu, Yiwei Wang, Baolong Bi, Ruibin Yuan, Xueqi Cheng
2024 — conf
History Driven Sampling for Scalable Graph Neural Networks.
DASFAA (6)
Yang Li, Bingbing Xu, Fei Sun, Qi Cao, Yige Yuan, Huawei Shen, Xueqi Cheng
2024 J jnl
IDEA: Invariant defense for graph adversarial robustness.
Inf. Sci.
Shuchang Tao, Qi Cao, Huawei Shen, Yunfan Wu, Bingbing Xu, Xueqi Cheng
2024 J jnl
Identity-Preserving Adversarial Training for Robust Network Embedding.
J. Comput. Sci. Technol.
Keting Cen, Hua-Wei Shen, Qi Cao, Bing-Bing Xu, Xueqi Cheng
2024 B conf
Improving Video Corpus Moment Retrieval with Partial Relevance Enhancement.
ICMR
Danyang Hou, Liang Pang, Huawei Shen, Xueqi Cheng
2024 J jnl
Improving Video Corpus Moment Retrieval with Partial Relevance Enhancement.
CoRR
Danyang Hou, Liang Pang, Huawei Shen, Xueqi Cheng
2024 A conf
Improving the Shortest Plank: Vulnerability-Aware Adversarial Training for Robust Recommender System.
RecSys
Kaike Zhang, Qi Cao, Yunfan Wu, Fei Sun, Huawei Shen, Xueqi Cheng
2024 J jnl
Improving the Shortest Plank: Vulnerability-Aware Adversarial Training for Robust Recommender System.
CoRR
Kaike Zhang, Qi Cao, Yunfan Wu, Fei Sun, Huawei Shen, Xueqi Cheng
2024 A* conf
Invisible Relevance Bias: Text-Image Retrieval Models Prefer AI-Generated Images.
SIGIR
Shicheng Xu, Danyang Hou, Liang Pang, Jingcheng Deng, Jun Xu, Huawei Shen, Xueqi Cheng
2024 J jnl
Is Factuality Decoding a Free Lunch for LLMs? Evaluation on Knowledge Editing Benchmark.
CoRR
Baolong Bi, Shenghua Liu, Yiwei Wang, Lingrui Mei, Xueqi Cheng
2024 J jnl
Iterative Utility Judgment Framework via LLMs Inspired by Relevance in Philosophy.
CoRR
Hengran Zhang, Keping Bi, Jiafeng Guo, Xueqi Cheng
2024 — conf
KnowCoder: Coding Structured Knowledge into LLMs for Universal Information Extraction.
ACL (1)
Zixuan Li, Yutao Zeng, Yuxin Zuo, Weicheng Ren, Wenxuan Liu, Miao Su, Yucan Guo, Yantao Liu, Xiang Li, Zhilei Hu, Long Bai, Wei Li, Yidan Liu, Pan Yang, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng
2024 J jnl
KnowCoder: Coding Structured Knowledge into LLMs for Universal Information Extraction.
CoRR
Zixuan Li, Yutao Zeng, Yuxin Zuo, Weicheng Ren, Wenxuan Liu, Miao Su, Yucan Guo, Yantao Liu, Xiang Li, Zhilei Hu, Long Bai, Wei Li, Yidan Liu, Pan Yang, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng
2024 J jnl
Knowledge Boundary and Persona Dynamic Shape A Better Social Media Agent.
CoRR
Junkai Zhou, Liang Pang, Ya Jing, Jia Gu, Huawei Shen, Xueqi Cheng
2024 — conf
LINKAGE: Listwise Ranking among Varied-Quality References for Non-Factoid QA Evaluation via LLMs.
EMNLP (Findings)
Sihui Yang, Keping Bi, Wanqing Cui, Jiafeng Guo, Xueqi Cheng
2024 J jnl
LINKAGE: Listwise Ranking among Varied-Quality References for Non-Factoid QA Evaluation via LLMs.
CoRR
Sihui Yang, Keping Bi, Wanqing Cui, Jiafeng Guo, Xueqi Cheng
2024 — conf
LPNL: Scalable Link Prediction with Large Language Models.
ACL (Findings)
Baolong Bi, Shenghua Liu, Yiwei Wang, Lingrui Mei, Xueqi Cheng
2024 A* conf
List-aware Reranking-Truncation Joint Model for Search and Retrieval-augmented Generation.
WWW
Shicheng Xu, Liang Pang, Jun Xu, Huawei Shen, Xueqi Cheng
2024 J jnl
List-aware Reranking-Truncation Joint Model for Search and Retrieval-augmented Generation.
CoRR
Shicheng Xu, Liang Pang, Jun Xu, Huawei Shen, Xueqi Cheng
2024 J jnl
Listwise Generative Retrieval Models via a Sequential Learning Process.
CoRR
Yubao Tang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Wei Chen, Xueqi Cheng
2024 J jnl
Listwise Generative Retrieval Models via a Sequential Learning Process.
ACM Trans. Inf. Syst.
Yubao Tang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Wei Chen, Xueqi Cheng
2024 A* conf
LoRec: Combating Poisons with Large Language Model for Robust Sequential Recommendation.
SIGIR
Kaike Zhang, Qi Cao, Yunfan Wu, Fei Sun, Huawei Shen, Xueqi Cheng
2024 J jnl
LoRec: Large Language Model for Robust Sequential Recommendation against Poisoning Attacks.
CoRR
Kaike Zhang, Qi Cao, Yunfan Wu, Fei Sun, Huawei Shen, Xueqi Cheng
2024 A conf
Look Globally and Reason: Two-stage Path Reasoning over Sparse Knowledge Graphs.
CIKM
Saiping Guan, Jiyao Wei, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng
2024 J jnl
Look Globally and Reason: Two-stage Path Reasoning over Sparse Knowledge Graphs.
CoRR
Saiping Guan, Jiyao Wei, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng
2024 J jnl
MITA: Bridging the Gap between Model and Data for Test-time Adaptation.
CoRR
Yige Yuan, Bingbing Xu, Teng Xiao, Liang Hou, Fei Sun, Huawei Shen, Xueqi Cheng
2024 J jnl
MLaKE: Multilingual Knowledge Editing Benchmark for Large Language Models.
CoRR
Zihao Wei, Jingcheng Deng, Liang Pang, Hanxing Ding, Huawei Shen, Xueqi Cheng
2024 — conf
MORE: Multi-mOdal REtrieval Augmented Generative Commonsense Reasoning.
ACL (Findings)
Wanqing Cui, Keping Bi, Jiafeng Guo, Xueqi Cheng
2024 J jnl
MORE: Multi-mOdal REtrieval Augmented Generative Commonsense Reasoning.
CoRR
Wanqing Cui, Keping Bi, Jiafeng Guo, Xueqi Cheng
2024 A* conf
Matching Knowledge Graphs in Entity Embedding Spaces: An Experimental Study [Extended Abstract].
ICDE
Weixin Zeng, Xiang Zhao, Zhen Tan, Jiuyang Tang, Xueqi Cheng
2024 A* conf
Multi-granular Adversarial Attacks against Black-box Neural Ranking Models.
SIGIR
Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng
2024 J jnl
Multi-granular Adversarial Attacks against Black-box Neural Ranking Models.
CoRR
Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng
2024 J jnl
NIR-Prompt: A Multi-task Generalized Neural Information Retrieval Training Framework.
ACM Trans. Inf. Syst.
Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng
2024 A* conf
Negative as Positive: Enhancing Out-of-distribution Generalization for Graph Contrastive Learning.
SIGIR
Zixu Wang, Bingbing Xu, Yige Yuan, Huawei Shen, Xueqi Cheng
2024 J jnl
Negative as Positive: Enhancing Out-of-distribution Generalization for Graph Contrastive Learning.
CoRR
Zixu Wang, Bingbing Xu, Yige Yuan, Huawei Shen, Xueqi Cheng
2024 — conf
Nested Event Extraction upon Pivot Element Recognition.
LREC/COLING
Weicheng Ren, Zixuan Li, Xiaolong Jin, Long Bai, Miao Su, Yantao Liu, Saiping Guan, Jiafeng Guo, Xueqi Cheng
2024 J jnl
Node Embedding Preserving Graph Summarization.
ACM Trans. Knowl. Discov. Data
Houquan Zhou, Shenghua Liu, Huawei Shen, Xueqi Cheng
2024 J jnl
On the Robustness of Generative Information Retrieval Models.
CoRR
Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Changjiang Zhou, Maarten de Rijke, Xueqi Cheng
2024 A* conf
PDE+: Enhancing Generalization via PDE with Adaptive Distributional Diffusion.
AAAI
Yige Yuan, Bingbing Xu, Bo Lin, Liang Hou, Fei Sun, Huawei Shen, Xueqi Cheng
2024 A* conf
Perturbation-Invariant Adversarial Training for Neural Ranking Models: Improving the Effectiveness-Robustness Trade-Off.
AAAI
Yu-An Liu, Ruqing Zhang, Mingkun Zhang, Wei Chen, Maarten de Rijke, Jiafeng Guo, Xueqi Cheng
2024 — conf
Plot Retrieval as an Assessment of Abstract Semantic Association.
ACL (Student Research Workshop)
Shicheng Xu, Liang Pang, Jiangnan Li, Mo Yu, Fandong Meng, Huawei Shen, Xueqi Cheng, Jie Zhou
2024 A* conf
Pretraining Data Detection for Large Language Models: A Divergence-based Calibration Method.
EMNLP
Weichao Zhang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng
2024 J jnl
Pretraining Data Detection for Large Language Models: A Divergence-based Calibration Method.
CoRR
Weichao Zhang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng
2024 — conf
Qsnail: A Questionnaire Dataset for Sequential Question Generation.
LREC/COLING
Yan Lei, Liang Pang, Yuanzhuo Wang, Huawei Shen, Xueqi Cheng
2024 J jnl
Qsnail: A Questionnaire Dataset for Sequential Question Generation.
CoRR
Yan Lei, Liang Pang, Yuanzhuo Wang, Huawei Shen, Xueqi Cheng
2024 — conf
RIGHT: Retrieval-Augmented Generation for Mainstream Hashtag Recommendation.
ECIR (1)
Run-Ze Fan, Yixing Fan, Jiangui Chen, Jiafeng Guo, Ruqing Zhang, Xueqi Cheng
2024 J jnl
Reproducibility Analysis and Enhancements for Multi-Aspect Dense Retriever with Aspect Learning.
CoRR
Keping Bi, Xiaojie Sun, Jiafeng Guo, Xueqi Cheng
2024 — conf
Reproducibility Analysis and Enhancements for Multi-aspect Dense Retriever with Aspect Learning.
ECIR (4)
Keping Bi, Xiaojie Sun, Jiafeng Guo, Xueqi Cheng
2024 — conf
Retrieval-Augmented Code Generation for Universal Information Extraction.
NLPCC (2)
Yucan Guo, Zixuan Li, Xiaolong Jin, Yantao Liu, Yutao Zeng, Wenxuan Liu, Xiang Li, Pan Yang, Long Bai, Jiafeng Guo, Xueqi Cheng
2024 J jnl
Retrieve Only When It Needs: Adaptive Retrieval Augmentation for Hallucination Mitigation in Large Language Models.
CoRR
Hanxing Ding, Liang Pang, Zihao Wei, Huawei Shen, Xueqi Cheng
2024 A* conf
RoCEL: Advancing Table Entity Linking through Distinctive Row and Column Contexts.
EMNLP
Yuanzheng Wang, Yixing Fan, Jiafeng Guo, Ruqing Zhang, Xueqi Cheng
2024 J jnl
Robust Neural Information Retrieval: An Adversarial and Out-of-distribution Perspective.
CoRR
Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng
2024 A* conf
SACH: Significant-Attributed Community Search in Heterogeneous Information Networks.
ICDE
Yanghao Liu, Fangda Guo, Bingbing Xu, Peng Bao, Huawei Shen, Xueqi Cheng
2024 A* conf
SLANG: New Concept Comprehension of Large Language Models.
EMNLP
Lingrui Mei, Shenghua Liu, Yiwei Wang, Baolong Bi, Xueqi Cheng
2024 A* conf
Search-in-the-Chain: Interactively Enhancing Large Language Models with Search for Knowledge-intensive Tasks.
WWW
Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng, Tat-Seng Chua
2024 — conf
Selective Temporal Knowledge Graph Reasoning.
LREC/COLING
Zhongni Hou, Xiaolong Jin, Zixuan Li, Long Bai, Jiafeng Guo, Xueqi Cheng
2024 J jnl
Selective Temporal Knowledge Graph Reasoning.
CoRR
Zhongni Hou, Xiaolong Jin, Zixuan Li, Long Bai, Jiafeng Guo, Xueqi Cheng
2024 J jnl
Stable Knowledge Editing in Large Language Models.
CoRR
Zihao Wei, Liang Pang, Hanxing Ding, Jingcheng Deng, Huawei Shen, Xueqi Cheng
2024 J jnl
StruEdit: Structured Outputs Enable the Fast and Accurate Knowledge Editing for Large Language Models.
CoRR
Baolong Bi, Shenghua Liu, Yiwei Wang, Lingrui Mei, Hongcheng Gao, Junfeng Fang, Xueqi Cheng
2024 A* conf
TEA: Test-Time Energy Adaptation.
CVPR
Yige Yuan, Bingbing Xu, Liang Hou, Fei Sun, Huawei Shen, Xueqi Cheng
2024 — conf
Test-Time Adaptation with Angular Distance-Based Prediction.
ICONIP (6)
Chenhao Li, Lin Li, Zhibin Zhang, Jiafeng Guo, Xueqi Cheng
2024 — conf
The Butterfly Effect of Model Editing: Few Edits Can Trigger Large Language Models Collapse.
ACL (Findings)
Wanli Yang, Fei Sun, Xinyu Ma, Xun Liu, Dawei Yin, Xueqi Cheng
2024 J jnl
The Butterfly Effect of Model Editing: Few Edits Can Trigger Large Language Models Collapse.
CoRR
Wanli Yang, Fei Sun, Xinyu Ma, Xun Liu, Dawei Yin, Xueqi Cheng
2024 — conf
Think Before You Speak: Cultivating Communication Skills of Large Language Models via Inner Monologue.
NAACL-HLT (Findings)
Junkai Zhou, Liang Pang, Huawei Shen, Xueqi Cheng
2024 J jnl
Towards generalizable Graph Contrastive Learning: An information theory perspective.
Neural Networks
Yige Yuan, Bingbing Xu, Huawei Shen, Qi Cao, Keting Cen, Wen Zheng, Xueqi Cheng
2024 J jnl
UnKE: Unstructured Knowledge Editing in Large Language Models.
CoRR
Jingcheng Deng, Zihao Wei, Liang Pang, Hanxing Ding, Huawei Shen, Xueqi Cheng
2024 A* conf
Understanding and Improving Adversarial Collaborative Filtering for Robust Recommendation.
NeurIPS
Kaike Zhang, Qi Cao, Yunfan Wu, Fei Sun, Huawei Shen, Xueqi Cheng
2024 J jnl
Understanding and Improving Adversarial Collaborative Filtering for Robust Recommendation.
CoRR
Kaike Zhang, Qi Cao, Yunfan Wu, Fei Sun, Huawei Shen, Xueqi Cheng
2024 J jnl
Unified Dense Subgraph Detection: Fast Spectral Theory Based Algorithms.
IEEE Trans. Knowl. Data Eng.
Wenjie Feng, Shenghua Liu, Danai Koutra, Xueqi Cheng
2024 — conf
Unsupervised Information Refinement Training of Large Language Models for Retrieval-Augmented Generation.
ACL (1)
Shicheng Xu, Liang Pang, Mo Yu, Fandong Meng, Huawei Shen, Xueqi Cheng, Jie Zhou
2024 J jnl
Unsupervised Information Refinement Training of Large Language Models for Retrieval-Augmented Generation.
CoRR
Shicheng Xu, Liang Pang, Mo Yu, Fandong Meng, Huawei Shen, Xueqi Cheng, Jie Zhou
2024 J jnl
Unveil the Duality of Retrieval-Augmented Generation: Theoretical Analysis and Practical Solution.
CoRR
Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng
2024 — conf
When Do LLMs Need Retrieval Augmentation? Mitigating LLMs' Overconfidence Helps Retrieval Augmentation.
ACL (Findings)
Shiyu Ni, Keping Bi, Jiafeng Guo, Xueqi Cheng
2024 J jnl
When Do LLMs Need Retrieval Augmentation? Mitigating LLMs' Overconfidence Helps Retrieval Augmentation.
CoRR
Shiyu Ni, Keping Bi, Jiafeng Guo, Xueqi Cheng
2023 — conf
A Comparative Study of Training Objectives for Clarification Facet Generation.
SIGIR-AP
Shiyu Ni, Keping Bi, Jiafeng Guo, Xueqi Cheng
2023 J jnl
A Comparative Study of Training Objectives for Clarification Facet Generation.
CoRR
Shiyu Ni, Keping Bi, Jiafeng Guo, Xueqi Cheng
2023 J jnl
A Multi-Granularity-Aware Aspect Learning Model for Multi-Aspect Dense Retrieval.
CoRR
Xiaojie Sun, Keping Bi, Jiafeng Guo, Sihui Yang, Qishen Zhang, Zhongyi Liu, Guannan Zhang, Xueqi Cheng
2023 A* conf
A Provable Framework of Learning Graph Embeddings via Summarization.
AAAI
Houquan Zhou, Shenghua Liu, Danai Koutra, Huawei Shen, Xueqi Cheng
2023 J jnl
A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications.
CoRR
Yi Zhang, Yuying Zhao, Zhaoqing Li, Xueqi Cheng, Yu Wang, Olivera Kotevska, Philip S. Yu, Tyler Derr
2023 J jnl
A Topological Perspective on Demystifying GNN-Based Link Prediction Performance.
CoRR
Yu Wang, Tong Zhao, Yuying Zhao, Yunchao Liu, Xueqi Cheng, Neil Shah, Tyler Derr
2023 A* conf
A Unified Generative Retriever for Knowledge-Intensive Language Tasks via Prompt Learning.
SIGIR
Jiangui Chen, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yiqun Liu, Yixing Fan, Xueqi Cheng
2023 J jnl
A Unified Generative Retriever for Knowledge-Intensive Language Tasks via Prompt Learning.
CoRR
Jiangui Chen, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yiqun Liu, Yixing Fan, Xueqi Cheng
2023 J jnl
AI-Generated Images Introduce Invisible Relevance Bias to Text-Image Retrieval.
CoRR
Shicheng Xu, Danyang Hou, Liang Pang, Jingcheng Deng, Jun Xu, Huawei Shen, Xueqi Cheng
2023 — conf
Adversarial Learning Data Augmentation for Graph Contrastive Learning in Recommendation.
DASFAA (2)
Junjie Huang, Qi Cao, Ruobing Xie, Shaoliang Zhang, Feng Xia, Huawei Shen, Xueqi Cheng
2023 J jnl
Adversarial Learning Data Augmentation for Graph Contrastive Learning in Recommendation.
CoRR
Junjie Huang, Qi Cao, Ruobing Xie, Shaoliang Zhang, Feng Xia, Huawei Shen, Xueqi Cheng
2023 J jnl
Adversarial camouflage for node injection attack on graphs.
Inf. Sci.
Shuchang Tao, Qi Cao, Huawei Shen, Yunfan Wu, Liang Hou, Fei Sun, Xueqi Cheng
2023 J jnl
An In-Context Schema Understanding Method for Knowledge Base Question Answering.
CoRR
Yantao Liu, Zixuan Li, Xiaolong Jin, Long Bai, Saiping Guan, Jiafeng Guo, Xueqi Cheng
2023 J jnl
Are Neural Ranking Models Robust?
ACM Trans. Inf. Syst.
Chen Wu, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Xueqi Cheng
2023 J jnl
AsyLink: user identity linkage from text to geo-location via sparse labeled data.
Neurocomputing
Jiangli Shao, Yongqing Wang, Hao Gao, Boshen Shi, Huawei Shen, Xueqi Cheng
2023 A* conf
Augmentation-Aware Self-Supervision for Data-Efficient GAN Training.
NeurIPS
Liang Hou, Qi Cao, Yige Yuan, Songtao Zhao, Chongyang Ma, Siyuan Pan, Pengfei Wan, Zhongyuan Wang, Huawei Shen, Xueqi Cheng
2023 — conf
BERM: Training the Balanced and Extractable Representation for Matching to Improve Generalization Ability of Dense Retrieval.
ACL (1)
Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng
2023 J jnl
BERM: Training the Balanced and Extractable Representation for Matching to Improve Generalization Ability of Dense Retrieval.
CoRR
Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng
2023 A conf
Black-box Adversarial Attacks against Dense Retrieval Models: A Multi-view Contrastive Learning Method.
CIKM
Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Wei Chen, Yixing Fan, Xueqi Cheng
2023 J jnl
Black-box Adversarial Attacks against Dense Retrieval Models: A Multi-view Contrastive Learning Method.
CoRR
Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Wei Chen, Yixing Fan, Xueqi Cheng
2023 A conf
Bridged-GNN: Knowledge Bridge Learning for Effective Knowledge Transfer.
CIKM
Wendong Bi, Xueqi Cheng, Bingbing Xu, Xiaoqian Sun, Easton Li Xu, Huawei Shen
2023 J jnl
Bridged-GNN: Knowledge Bridge Learning for Effective Knowledge Transfer.
CoRR
Wendong Bi, Xueqi Cheng, Bingbing Xu, Xiaoqian Sun, Easton Li Xu, Huawei Shen
2023 J jnl
CAME: Competitively Learning a Mixture-of-Experts Model for First-stage Retrieval.
CoRR
Yinqiong Cai, Yixing Fan, Keping Bi, Jiafeng Guo, Wei Chen, Ruqing Zhang, Xueqi Cheng
2023 A conf
CANA: Causal-enhanced Social Network Alignment.
CIKM
Jiangli Shao, Yongqing Wang, Fangda Guo, Boshen Shi, Huawei Shen, Xueqi Cheng
2023 — conf
CIR at the NTCIR-17 ULTRE-2 Task.
NTCIR
Lulu Yu, Keping Bi, Jiafeng Guo, Xueqi Cheng
2023 J jnl
CIR at the NTCIR-17 ULTRE-2 Task.
CoRR
Lulu Yu, Keping Bi, Jiafeng Guo, Xueqi Cheng
2023 A conf
Causality and Independence Enhancement for Biased Node Classification.
CIKM
Guoxin Chen, Yongqing Wang, Fangda Guo, Qinglang Guo, Jiangli Shao, Huawei Shen, Xueqi Cheng
2023 J jnl
Causality and Independence Enhancement for Biased Node Classification.
CoRR
Guoxin Chen, Yongqing Wang, Fangda Guo, Qinglang Guo, Jiangli Shao, Huawei Shen, Xueqi Cheng
2023 J jnl
Company-as-Tribe: Company Financial Risk Assessment on Tribe-Style Graph with Hierarchical Graph Neural Networks.
CoRR
Wendong Bi, Bingbing Xu, Xiaoqian Sun, Zidong Wang, Huawei Shen, Xueqi Cheng
2023 A conf
Continual Learning for Generative Retrieval over Dynamic Corpora.
CIKM
Jiangui Chen, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Wei Chen, Yixing Fan, Xueqi Cheng
2023 J jnl
Continual Learning for Generative Retrieval over Dynamic Corpora.
CoRR
Jiangui Chen, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Wei Chen, Yixing Fan, Xueqi Cheng
2023 J jnl
Cross-Model Comparative Loss for Enhancing Neuronal Utility in Language Understanding.
CoRR
Yunchang Zhu, Liang Pang, Kangxi Wu, Yanyan Lan, Huawei Shen, Xueqi Cheng
2023 A* conf
DyTed: Disentangled Representation Learning for Discrete-time Dynamic Graph.
KDD
Kaike Zhang, Qi Cao, Gaolin Fang, Bingbing Xu, Hongjian Zou, Huawei Shen, Xueqi Cheng
2023 J jnl
Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis.
CoRR
Zezhi Shao, Fei Wang, Yongjun Xu, Wei Wei, Chengqing Yu, Zhao Zhang, Di Yao, Guangyin Jin, Xin Cao, Gao Cong, Christian S. Jensen, Xueqi Cheng
2023 J jnl
FCS-HGNN: Flexible Multi-type Community Search in Heterogeneous Information Networks.
CoRR
Guoxin Chen, Fangda Guo, Yongqing Wang, Yanghao Liu, Peiying Yu, Huawei Shen, Xueqi Cheng
2023 J jnl
Fairness and Diversity in Recommender Systems: A Survey.
CoRR
Yuying Zhao, Yu Wang, Yunchao Liu, Xueqi Cheng, Charu C. Aggarwal, Tyler Derr
2023 J jnl
Fast Searching The Densest Subgraph And Decomposition With Local Optimality.
CoRR
Yugao Zhu, Shenghua Liu, Wenjie Feng, Xueqi Cheng
2023 J jnl
Few-shot Link Prediction on N-ary Facts.
CoRR
Jiyao Wei, Saiping Guan, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng
2023 — conf
From Relevance to Utility: Evidence Retrieval with Feedback for Fact Verification.
EMNLP (Findings)
Hengran Zhang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng
2023 J jnl
From Relevance to Utility: Evidence Retrieval with Feedback for Fact Verification.
CoRR
Hengran Zhang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng
2023 J jnl
Graph Adversarial Immunization for Certifiable Robustness.
CoRR
Shuchang Tao, Huawei Shen, Qi Cao, Yunfan Wu, Liang Hou, Xueqi Cheng
2023 J jnl
Hierarchical Dense Pattern Detection in Tensors.
ACM Trans. Knowl. Discov. Data
Wenjie Feng, Shenghua Liu, Xueqi Cheng
2023 J jnl
IDEA: Invariant Causal Defense for Graph Adversarial Robustness.
CoRR
Shuchang Tao, Qi Cao, Huawei Shen, Yunfan Wu, Bingbing Xu, Xueqi Cheng
2023 A conf
Improving Graph Domain Adaptation with Network Hierarchy.
CIKM
Boshen Shi, Yongqing Wang, Fangda Guo, Jiangli Shao, Huawei Shen, Xueqi Cheng
2023 A conf
Inducing Causal Structure for Abstractive Text Summarization.
CIKM
Lu Chen, Ruqing Zhang, Wei Huang, Wei Chen, Jiafeng Guo, Xueqi Cheng
2023 J jnl
Inducing Causal Structure for Abstractive Text Summarization.
CoRR
Lu Chen, Ruqing Zhang, Wei Huang, Wei Chen, Jiafeng Guo, Xueqi Cheng
2023 A conf
L2R: Lifelong Learning for First-stage Retrieval with Backward-Compatible Representations.
CIKM
Yinqiong Cai, Keping Bi, Yixing Fan, Jiafeng Guo, Wei Chen, Xueqi Cheng
2023 J jnl
LLMDet: A Large Language Models Detection Tool.
CoRR
Kangxi Wu, Liang Pang, Huawei Shen, Xueqi Cheng, Tat-Seng Chua
2023 — conf
LLMDet: A Third Party Large Language Models Generated Text Detection Tool.
EMNLP (Findings)
Kangxi Wu, Liang Pang, Huawei Shen, Xueqi Cheng, Tat-Seng Chua
2023 J jnl
L^2R: Lifelong Learning for First-stage Retrieval with Backward-Compatible Representations.
CoRR
Yinqiong Cai, Keping Bi, Yixing Fan, Jiafeng Guo, Wei Chen, Xueqi Cheng
2023 A* conf
Learning Adversarially Robust Sparse Networks via Weight Reparameterization.
AAAI
Chenhao Li, Qiang Qiu, Zhibin Zhang, Jiafeng Guo, Xueqi Cheng
2023 J jnl
Link Prediction on N-ary Relational Data Based on Relatedness Evaluation.
IEEE Trans. Knowl. Data Eng.
Saiping Guan, Xiaolong Jin, Jiafeng Guo, Yuanzhuo Wang, Xueqi Cheng
2023 — conf
MacLaSa: Multi-Aspect Controllable Text Generation via Efficient Sampling from Compact Latent Space.
EMNLP (Findings)
Hanxing Ding, Liang Pang, Zihao Wei, Huawei Shen, Xueqi Cheng, Tat-Seng Chua
2023 J jnl
MacLaSa: Multi-Aspect Controllable Text Generation via Efficient Sampling from Compact Latent Space.
CoRR
Hanxing Ding, Liang Pang, Zihao Wei, Huawei Shen, Xueqi Cheng, Tat-Seng Chua
2023 J jnl
Matching Knowledge Graphs in Entity Embedding Spaces: An Experimental Study.
IEEE Trans. Knowl. Data Eng.
Weixin Zeng, Xiang Zhao, Zhen Tan, Jiuyang Tang, Xueqi Cheng
2023 J jnl
Multi-video Moment Ranking with Multimodal Clue.
CoRR
Dan Yang Hou, Liang Pang, Yanyan Lan, Huawei Shen, Xueqi Cheng
2023 J jnl
Negative Can Be Positive: Signed Graph Neural Networks for Recommendation.
Inf. Process. Manag.
Junjie Huang, Ruobing Xie, Qi Cao, Huawei Shen, Shaoliang Zhang, Feng Xia, Xueqi Cheng
2023 J jnl
Nested Event Extraction upon Pivot Element Recogniton.
CoRR
Weicheng Ren, Zixuan Li, Xiaolong Jin, Long Bai, Miao Su, Yantao Liu, Saiping Guan, Jiafeng Guo, Xueqi Cheng
2023 J jnl
Node classification across networks via category-level domain adaptive network embedding.
Knowl. Inf. Syst.
Boshen Shi, Yongqing Wang, Jiangli Shao, Huawei Shen, Yangyang Li, Xueqi Cheng
2023 J jnl
On the Robustness of Generative Retrieval Models: An Out-of-Distribution Perspective.
CoRR
Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Wei Chen, Xueqi Cheng
2023 A conf
OpenGDA: Graph Domain Adaptation Benchmark for Cross-network Learning.
CIKM
Boshen Shi, Yongqing Wang, Fangda Guo, Jiangli Shao, Huawei Shen, Xueqi Cheng
2023 J jnl
OpenGDA: Graph Domain Adaptation Benchmark for Cross-network Learning.
CoRR
Boshen Shi, Yongqing Wang, Fangda Guo, Jiangli Shao, Huawei Shen, Xueqi Cheng
2023 J jnl
PDE+: Enhancing Generalization via PDE with Adaptive Distributional Diffusion.
CoRR
Yige Yuan, Bingbing Xu, Bo Lin, Liang Hou, Fei Sun, Huawei Shen, Xueqi Cheng
2023 J jnl
PRADA: Practical Black-box Adversarial Attacks against Neural Ranking Models.
ACM Trans. Inf. Syst.
Chen Wu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng
2023 J jnl
Perturbation-Invariant Adversarial Training for Neural Ranking Models: Improving the Effectiveness-Robustness Trade-Off.
CoRR
Yu-An Liu, Ruqing Zhang, Mingkun Zhang, Wei Chen, Maarten de Rijke, Jiafeng Guo, Xueqi Cheng
2023 J jnl
Plot Retrieval as an Assessment of Abstract Semantic Association.
CoRR
Shicheng Xu, Liang Pang, Jiangnan Li, Mo Yu, Fandong Meng, Huawei Shen, Xueqi Cheng, Jie Zhou
2023 A* conf
Popularity Debiasing from Exposure to Interaction in Collaborative Filtering.
SIGIR
Yuanhao Liu, Qi Cao, Huawei Shen, Yunfan Wu, Shuchang Tao, Xueqi Cheng
2023 J jnl
Popularity Debiasing from Exposure to Interaction in Collaborative Filtering.
CoRR
Yuanhao Liu, Qi Cao, Huawei Shen, Yunfan Wu, Shuchang Tao, Xueqi Cheng
2023 A* conf
Predicting the Silent Majority on Graphs: Knowledge Transferable Graph Neural Network.
WWW
Wendong Bi, Bingbing Xu, Xiaoqian Sun, Easton Li Xu, Huawei Shen, Xueqi Cheng
2023 J jnl
Predicting the Silent Majority on Graphs: Knowledge Transferable Graph Neural Network.
CoRR
Wendong Bi, Bingbing Xu, Xiaoqian Sun, Easton Li Xu, Huawei Shen, Xueqi Cheng
2023 A conf
Prompt Tuning with Contradictory Intentions for Sarcasm Recognition.
EACL
Yiyi Liu, Ruqing Zhang, Yixing Fan, Jiafeng Guo, Xueqi Cheng
2023 J jnl
ProtoEM: A Prototype-Enhanced Matching Framework for Event Relation Extraction.
CoRR
Zhilei Hu, Zixuan Li, Daozhu Xu, Long Bai, Cheng Jin, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng
2023 J jnl
RIGHT: Retrieval-augmented Generation for Mainstream Hashtag Recommendation.
CoRR
Run-Ze Fan, Yixing Fan, Jiangui Chen, Jiafeng Guo, Ruqing Zhang, Xueqi Cheng
2023 — conf
RegaVAE: A Retrieval-Augmented Gaussian Mixture Variational Auto-Encoder for Language Modeling.
EMNLP (Findings)
Jingcheng Deng, Liang Pang, Huawei Shen, Xueqi Cheng
2023 J jnl
RegaVAE: A Retrieval-Augmented Gaussian Mixture Variational Auto-Encoder for Language Modeling.
CoRR
Jingcheng Deng, Liang Pang, Huawei Shen, Xueqi Cheng
2023 J jnl
Retrieval-Augmented Code Generation for Universal Information Extraction.
CoRR
Yucan Guo, Zixuan Li, Xiaolong Jin, Yantao Liu, Yutao Zeng, Wenxuan Liu, Xiang Li, Pan Yang, Long Bai, Jiafeng Guo, Xueqi Cheng
2023 A* conf
Rich Event Modeling for Script Event Prediction.
AAAI
Long Bai, Saiping Guan, Zixuan Li, Jiafeng Guo, Xiaolong Jin, Xueqi Cheng
2023 J jnl
Robust Recommender System: A Survey and Future Directions.
CoRR
Kaike Zhang, Qi Cao, Fei Sun, Yunfan Wu, Shuchang Tao, Huawei Shen, Xueqi Cheng
2023 J jnl
Search-in-the-Chain: Towards the Accurate, Credible and Traceable Content Generation for Complex Knowledge-intensive Tasks.
CoRR
Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng, Tat-Seng Chua
2023 — conf
Semantic Structure Enhanced Event Causality Identification.
ACL (1)
Zhilei Hu, Zixuan Li, Xiaolong Jin, Long Bai, Saiping Guan, Jiafeng Guo, Xueqi Cheng
2023 J jnl
Semantic Structure Enhanced Event Causality Identification.
CoRR
Zhilei Hu, Zixuan Li, Xiaolong Jin, Long Bai, Saiping Guan, Jiafeng Guo, Xueqi Cheng
2023 A* conf
Semantic-Enhanced Differentiable Search Index Inspired by Learning Strategies.
KDD
Yubao Tang, Ruqing Zhang, Jiafeng Guo, Jiangui Chen, Zuowei Zhu, Shuaiqiang Wang, Dawei Yin, Xueqi Cheng
2023 J jnl
Semantic-Enhanced Differentiable Search Index Inspired by Learning Strategies.
CoRR
Yubao Tang, Ruqing Zhang, Jiafeng Guo, Jiangui Chen, Zuowei Zhu, Shuaiqiang Wang, Dawei Yin, Xueqi Cheng
2023 J jnl
Significant-attributed Community Search in Heterogeneous Information Networks.
CoRR
Yanghao Liu, Fangda Guo, Bingbing Xu, Peng Bao, Huawei Shen, Xueqi Cheng
2023 — conf
SimOAP: Improve Coherence and Consistency in Persona-based Dialogue Generation via Over-sampling and Post-evaluation.
ACL (1)
Junkai Zhou, Liang Pang, Huawei Shen, Xueqi Cheng
2023 J jnl
SimOAP: Improve Coherence and Consistency in Persona-based Dialogue Generation via Over-sampling and Post-evaluation.
CoRR
Junkai Zhou, Liang Pang, Huawei Shen, Xueqi Cheng
2023 J jnl
TEA: Test-time Energy Adaptation.
CoRR
Yige Yuan, Bingbing Xu, Liang Hou, Fei Sun, Huawei Shen, Xueqi Cheng
2023 A conf
TOAK: A Topology-oriented Attack Strategy for Degrading User Identity Linkage in Cross-network Learning.
CIKM
Jiangli Shao, Yongqing Wang, Fangda Guo, Boshen Shi, Huawei Shen, Xueqi Cheng
2023 — conf
Temporal Knowledge Graph Reasoning Based on N-tuple Modeling.
EMNLP (Findings)
Zhongni Hou, Xiaolong Jin, Zixuan Li, Long Bai, Saiping Guan, Yutao Zeng, Jiafeng Guo, Xueqi Cheng
2023 J jnl
Think Before You Speak: Cultivating Communication Skills of Large Language Models via Inner Monologue.
CoRR
Junkai Zhou, Liang Pang, Huawei Shen, Xueqi Cheng
2023 J jnl
Time Series Anomaly Detection With Adversarial Reconstruction Networks.
IEEE Trans. Knowl. Data Eng.
Shenghua Liu, Bin Zhou, Quan Ding, Bryan Hooi, Zhengbo Zhang, Huawei Shen, Xueqi Cheng
2023 A* conf
Topic-oriented Adversarial Attacks against Black-box Neural Ranking Models.
SIGIR
Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Wei Chen, Yixing Fan, Xueqi Cheng
2023 J jnl
Topic-oriented Adversarial Attacks against Black-box Neural Ranking Models.
CoRR
Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Wei Chen, Yixing Fan, Xueqi Cheng
2023 J jnl
UniSKGRep: A unified representation learning framework of social network and knowledge graph.
Neural Networks
Yinghan Shen, Xuhui Jiang, Zijian Li, Yuanzhuo Wang, Chengjin Xu, Huawei Shen, Xueqi Cheng
2023 J jnl
Visual Reasoning: From State to Transformation.
IEEE Trans. Pattern Anal. Mach. Intell.
Xin Hong, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng
2023 J jnl
Visual Reasoning: from State to Transformation.
CoRR
Xin Hong, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng
2023 J jnl
Visual Transformation Telling.
CoRR
Xin Hong, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng
2023 J jnl
What is Event Knowledge Graph: A Survey.
IEEE Trans. Knowl. Data Eng.
Saiping Guan, Xueqi Cheng, Long Bai, Fujun Zhang, Zixuan Li, Yutao Zeng, Xiaolong Jin, Jiafeng Guo
2023 J jnl
What makes a successful rebuttal in computer science conferences? : A perspective on social interaction.
CoRR
Junjie Huang, Win-Bin Huang, Yi Bu, Qi Cao, Huawei Shen, Xueqi Cheng
2023 J jnl
What makes a successful rebuttal in computer science conferences?: A perspective on social interaction.
J. Informetrics
Junjie Huang, Win-Bin Huang, Yi Bu, Qi Cao, Huawei Shen, Xueqi Cheng
2023 J jnl
Zero-shot stance detection via multi-perspective contrastive learning with unlabeled data.
Inf. Process. Manag.
Yan Jiang, Jinhua Gao, Huawei Shen, Xueqi Cheng
2022 A conf
A Contrastive Pre-training Approach to Discriminative Autoencoder for Dense Retrieval.
CIKM
Xinyu Ma, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Xueqi Cheng
2022 J jnl
A Contrastive Pre-training Approach to Learn Discriminative Autoencoder for Dense Retrieval.
CoRR
Xinyu Ma, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Xueqi Cheng
2022 A* conf
A Re-Balancing Strategy for Class-Imbalanced Classification Based on Instance Difficulty.
CVPR
Sihao Yu, Jiafeng Guo, Ruqing Zhang, Yixing Fan, Zizhen Wang, Xueqi Cheng
2022 J jnl
A Review on Question Generation from Natural Language Text.
ACM Trans. Inf. Syst.
Ruqing Zhang, Jiafeng Guo, Lu Chen, Yixing Fan, Xueqi Cheng
2022 J jnl
Adversarial Camouflage for Node Injection Attack on Graphs.
CoRR
Shuchang Tao, Qi Cao, Huawei Shen, Yunfan Wu, Liang Hou, Xueqi Cheng
2022 J jnl
Adversarial for Social Privacy: A Poisoning Strategy to Degrade User Identity Linkage.
CoRR
Jiangli Shao, Yongqing Wang, Boshen Shi, Hao Gao, Huawei Shen, Xueqi Cheng
2022 J jnl
Augmentation-Aware Self-Supervision for Data-Efficient GAN Training.
CoRR
Liang Hou, Qi Cao, Huawei Shen, Siyuan Pan, Xiaoshuang Li, Xueqi Cheng
2022 A conf
Certified Robustness to Word Substitution Ranking Attack for Neural Ranking Models.
CIKM
Chen Wu, Ruqing Zhang, Jiafeng Guo, Wei Chen, Yixing Fan, Maarten de Rijke, Xueqi Cheng
2022 J jnl
Certified Robustness to Word Substitution Ranking Attack for Neural Ranking Models.
CoRR
Chen Wu, Ruqing Zhang, Jiafeng Guo, Wei Chen, Yixing Fan, Maarten de Rijke, Xueqi Cheng
2022 A* conf
Company-as-Tribe: Company Financial Risk Assessment on Tribe-Style Graph with Hierarchical Graph Neural Networks.
KDD
Wendong Bi, Bingbing Xu, Xiaoqian Sun, Zidong Wang, Huawei Shen, Xueqi Cheng
2022 — conf
Complex Evolutional Pattern Learning for Temporal Knowledge Graph Reasoning.
ACL (2)
Zixuan Li, Saiping Guan, Xiaolong Jin, Weihua Peng, Yajuan Lyu, Yong Zhu, Long Bai, Wei Li, Jiafeng Guo, Xueqi Cheng
2022 J jnl
Complex Evolutional Pattern Learning for Temporal Knowledge Graph Reasoning.
CoRR
Zixuan Li, Saiping Guan, Xiaolong Jin, Weihua Peng, Yajuan Lyu, Yong Zhu, Long Bai, Wei Li, Jiafeng Guo, Xueqi Cheng
2022 A* conf
Conditional GANs with Auxiliary Discriminative Classifier.
ICML
Liang Hou, Qi Cao, Huawei Shen, Siyuan Pan, Xiaoshuang Li, Xueqi Cheng
2022 A conf
ConsistSum: Unsupervised Opinion Summarization with the Consistency of Aspect, Sentiment and Semantic.
WSDM
Wenjun Ke, Jinhua Gao, Huawei Shen, Xueqi Cheng
2022 A conf
CorpusBrain: Pre-train a Generative Retrieval Model for Knowledge-Intensive Language Tasks.
CIKM
Jiangui Chen, Ruqing Zhang, Jiafeng Guo, Yiqun Liu, Yixing Fan, Xueqi Cheng
2022 J jnl
CorpusBrain: Pre-train a Generative Retrieval Model for Knowledge-Intensive Language Tasks.
CoRR
Jiangui Chen, Ruqing Zhang, Jiafeng Guo, Yiqun Liu, Yixing Fan, Xueqi Cheng
2022 A conf
Discriminative Language Model via Self-Teaching for Dense Retrieval.
CIKM
Lu Chen, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Xueqi Cheng
2022 J jnl
DyTed: Disentangling Temporal Invariance and Fluctuations in Dynamic Graph Representation Learning.
CoRR
Kaike Zhang, Qi Cao, Gaolin Fang, Bingbing Xu, Hongjian Zou, Huawei Shen, Xueqi Cheng
2022 A* conf
Few-Shot Stance Detection via Target-Aware Prompt Distillation.
SIGIR
Yan Jiang, Jinhua Gao, Huawei Shen, Xueqi Cheng
2022 J jnl
Few-Shot Stance Detection via Target-Aware Prompt Distillation.
CoRR
Yan Jiang, Jinhua Gao, Huawei Shen, Xueqi Cheng
2022 A* conf
GERE: Generative Evidence Retrieval for Fact Verification.
SIGIR
Jiangui Chen, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Xueqi Cheng
2022 J jnl
GERE: Generative Evidence Retrieval for Fact Verification.
CoRR
Jiangui Chen, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Xueqi Cheng
2022 A conf
Hard Negatives or False Negatives: Correcting Pooling Bias in Training Neural Ranking Models.
CIKM
Yinqiong Cai, Jiafeng Guo, Yixing Fan, Qingyao Ai, Ruqing Zhang, Xueqi Cheng
2022 J jnl
Hard Negatives or False Negatives: Correcting Pooling Bias in Training Neural Ranking Models.
CoRR
Yinqiong Cai, Jiafeng Guo, Yixing Fan, Qingyao Ai, Ruqing Zhang, Xueqi Cheng
2022 — conf
HiSMatch: Historical Structure Matching based Temporal Knowledge Graph Reasoning.
EMNLP (Findings)
Zixuan Li, Zhongni Hou, Saiping Guan, Xiaolong Jin, Weihua Peng, Long Bai, Yajuan Lyu, Wei Li, Jiafeng Guo, Xueqi Cheng
2022 J jnl
HiSMatch: Historical Structure Matching based Temporal Knowledge Graph Reasoning.
CoRR
Zixuan Li, Zhongni Hou, Saiping Guan, Xiaolong Jin, Weihua Peng, Long Bai, Yajuan Lyu, Wei Li, Jiafeng Guo, Xueqi Cheng
2022 A* conf
INMO: A Model-Agnostic and Scalable Module for Inductive Collaborative Filtering.
SIGIR
Yunfan Wu, Qi Cao, Huawei Shen, Shuchang Tao, Xueqi Cheng
2022 J jnl
Improving Multi-task Generalization Ability for Neural Text Matching via Prompt Learning.
CoRR
Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng
2022 — conf
InDNI: An Infection Time Independent Method for Diffusion Network Inference.
CCIR
Guoxin Chen, Yongqing Wang, Jiangli Shao, Boshen Shi, Huawei Shen, Xueqi Cheng
2022 — conf
Knowledge-Enhanced Self-Supervised Prototypical Network for Few-Shot Event Detection.
EMNLP (Findings)
Kailin Zhao, Xiaolong Jin, Long Bai, Jiafeng Guo, Xueqi Cheng
2022 J jnl
Learning node embeddings via summary graphs: a brief theoretical analysis.
CoRR
Houquan Zhou, Shenghua Liu, Danai Koutra, Huawei Shen, Xueqi Cheng
2022 J jnl
LegoNet: A Fast and Exact Unlearning Architecture.
CoRR
Sihao Yu, Fei Sun, Jiafeng Guo, Ruqing Zhang, Xueqi Cheng
2022 J jnl
Link Prediction in Knowledge Graphs: A Hierarchy-Constrained Approach.
IEEE Trans. Big Data
Manling Li, Yuanzhuo Wang, Denghui Zhang, Yantao Jia, Xueqi Cheng
2022 A* conf
LoL: A Comparative Regularization Loss over Query Reformulation Losses for Pseudo-Relevance Feedback.
SIGIR
Yunchang Zhu, Liang Pang, Yanyan Lan, Huawei Shen, Xueqi Cheng
2022 J jnl
LoL: A Comparative Regularization Loss over Query Reformulation Losses for Pseudo-Relevance Feedback.
CoRR
Yunchang Zhu, Liang Pang, Yanyan Lan, Huawei Shen, Xueqi Cheng
2022 J jnl
Location-aware convolutional neural networks for graph classification.
Neural Networks
Zhaohui Wang, Qi Cao, Huawei Shen, Bingbing Xu, Keting Cen, Xueqi Cheng
2022 A* conf
MGAD: Learning Descriptional Representation Distilled from Distributional Semantics for Unseen Entities.
IJCAI
Yuanzheng Wang, Xueqi Cheng, Yixing Fan, Xiaofei Zhu, Huasheng Liang, Qiang Yan, Jiafeng Guo
2022 A conf
Match-Prompt: Improving Multi-task Generalization Ability for Neural Text Matching via Prompt Learning.
CIKM
Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng
2022 B conf
Meta-CQG: A Meta-Learning Framework for Complex Question Generation over Knowledge Bases.
COLING
Kun Zhang, Yunqi Qiu, Yuanzhuo Wang, Long Bai, Wei Li, Xuhui Jiang, Huawei Shen, Xueqi Cheng
2022 B conf
MetaSLRCL: A Self-Adaptive Learning Rate and Curriculum Learning Based Framework for Few-Shot Text Classification.
COLING
Kailin Zhao, Xiaolong Jin, Saiping Guan, Jiafeng Guo, Xueqi Cheng
2022 A conf
MonLAD: Money Laundering Agents Detection in Transaction Streams.
WSDM
Xiaobing Sun, Wenjie Feng, Shenghua Liu, Yuyang Xie, Siddharth Bhatia, Bryan Hooi, Wenhan Wang, Xueqi Cheng
2022 J jnl
MonLAD: Money Laundering Agents Detection in Transaction Streams.
CoRR
Xiaobing Sun, Wenjie Feng, Shenghua Liu, Yuyang Xie, Siddharth Bhatia, Bryan Hooi, Wenhan Wang, Xueqi Cheng
2022 J jnl
Multi-scale Anomaly Detection for Big Time Series of Industrial Sensors.
CoRR
Quan Ding, Shenghua Liu, Bin Zhou, Huawei Shen, Xueqi Cheng
2022 J jnl
NEAWalk: Inferring missing social interactions via topological-temporal embeddings of social groups.
Knowl. Inf. Syst.
Yinghan Shen, Xuhui Jiang, Zijian Li, Yuanzhuo Wang, Xiaolong Jin, Shengjie Ma, Xueqi Cheng
2022 J jnl
NIR-Prompt: A Multi-task Generalized Neural Information Retrieval Training Framework.
CoRR
Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng
2022 J jnl
On the Cybernetics of Crowdsourcing Innovation: A Process Model.
IEEE Access
Lei Lin, Huawei Shen, Shenghua Liu, Easton Li Xu, Xueqi Cheng
2022 J jnl
PRADA: Practical Black-Box Adversarial Attacks against Neural Ranking Models.
CoRR
Chen Wu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng
2022 — conf
PREP: Pre-training with Temporal Elapse Inference for Popularity Prediction.
WWW (Companion Volume)
Qi Cao, Huawei Shen, Yuanhao Liu, Jinhua Gao, Xueqi Cheng
2022 A* conf
Pre-train a Discriminative Text Encoder for Dense Retrieval via Contrastive Span Prediction.
SIGIR
Xinyu Ma, Jiafeng Guo, Ruqing Zhang, Yixing Fan, Xueqi Cheng
2022 J jnl
Pre-train a Discriminative Text Encoder for Dense Retrieval via Contrastive Span Prediction.
CoRR
Xinyu Ma, Jiafeng Guo, Ruqing Zhang, Yixing Fan, Xueqi Cheng
2022 B conf
Region-based Cross-modal Retrieval.
IJCNN
Dan Yang Hou, Liang Pang, Yanyan Lan, Huawei Shen, Xueqi Cheng
2022 J jnl
Rich Event Modeling for Script Event Prediction.
CoRR
Long Bai, Saiping Guan, Zixuan Li, Jiafeng Guo, Xiaolong Jin, Xueqi Cheng
2022 — conf
SCIEnt: A Semantic-Feature-Based Framework for Core Information Extraction from Web Pages.
ICONIP (3)
Zhiwei Wang, Yan Guo, Yangyuanxiang Xu, Yuanhai Xue, Yue Liu, Huawei Shen, Xueqi Cheng
2022 A conf
Scattered or Connected? An Optimized Parameter-efficient Tuning Approach for Information Retrieval.
CIKM
Xinyu Ma, Jiafeng Guo, Ruqing Zhang, Yixing Fan, Xueqi Cheng
2022 J jnl
Scattered or Connected? An Optimized Parameter-efficient Tuning Approach for Information Retrieval.
CoRR
Xinyu Ma, Jiafeng Guo, Ruqing Zhang, Yixing Fan, Xueqi Cheng
2022 J jnl
Semantic Models for the First-Stage Retrieval: A Comprehensive Review.
ACM Trans. Inf. Syst.
Jiafeng Guo, Yinqiong Cai, Yixing Fan, Fei Sun, Ruqing Zhang, Xueqi Cheng
2022 — conf
Towards Efficient and Expressive GNNs for Graph Classification via Subgraph-Aware Weisfeiler-Lehman.
LoG
Zhaohui Wang, Qi Cao, Huawei Shen, Bingbing Xu, Muhan Zhang, Xueqi Cheng
2022 J jnl
Towards Generalizable Graph Contrastive Learning: An Information Theory Perspective.
CoRR
Yige Yuan, Bingbing Xu, Huawei Shen, Qi Cao, Keting Cen, Wen Zheng, Xueqi Cheng
2022 B conf
Towards Powerful Graph Contrastive Learning without Negative Examples.
IJCNN
Keting Cen, Huawei Shen, Qi Cao, Bingbing Xu, Xueqi Cheng
2022 J jnl
Twin Weisfeiler-Lehman: High Expressive GNNs for Graph Classification.
CoRR
Zhaohui Wang, Qi Cao, Huawei Shen, Bingbing Xu, Xueqi Cheng
2022 J jnl
User Identity Linkage across Social Networks with the Enhancement of Knowledge Graph and Time Decay Function.
Entropy
Hao Gao, Yongqing Wang, Jiangli Shao, Huawei Shen, Xueqi Cheng
2022 — conf
Visual Named Entity Linking: A New Dataset and A Baseline.
EMNLP (Findings)
Wen Sun, Yixing Fan, Jiafeng Guo, Ruqing Zhang, Xueqi Cheng
2022 J jnl
Visual Named Entity Linking: A New Dataset and A Baseline.
CoRR
Wenxiang Sun, Yixing Fan, Jiafeng Guo, Ruqing Zhang, Xueqi Cheng
2021 Misc conf
A Discriminative Semantic Ranker for Question Retrieval.
ICTIR
Yinqiong Cai, Yixing Fan, Jiafeng Guo, Ruqing Zhang, Yanyan Lan, Xueqi Cheng
2021 J jnl
A Discriminative Semantic Ranker for Question Retrieval.
CoRR
Yinqiong Cai, Yixing Fan, Jiafeng Guo, Ruqing Zhang, Yanyan Lan, Xueqi Cheng
2021 A* conf
A Linguistic Study on Relevance Modeling in Information Retrieval.
WWW
Yixing Fan, Jiafeng Guo, Xinyu Ma, Ruqing Zhang, Yanyan Lan, Xueqi Cheng
2021 J jnl
A Linguistic Study on Relevance Modeling in Information Retrieval.
CoRR
Yixing Fan, Jiafeng Guo, Xinyu Ma, Ruqing Zhang, Yanyan Lan, Xueqi Cheng
2021 — conf
Adaptive Information Seeking for Open-Domain Question Answering.
EMNLP (1)
Yunchang Zhu, Liang Pang, Yanyan Lan, Huawei Shen, Xueqi Cheng
2021 J jnl
Adaptive Information Seeking for Open-Domain Question Answering.
CoRR
Yunchang Zhu, Liang Pang, Yanyan Lan, Huawei Shen, Xueqi Cheng
2021 A conf
Adversarial Immunization for Certifiable Robustness on Graphs.
WSDM
Shuchang Tao, Huawei Shen, Qi Cao, Liang Hou, Xueqi Cheng
2021 B conf
Aligning Networks by Maximizing Topological Consistency Between Neighborhoods.
Big Data (CCF)
Boshen Shi, Yongqing Wang, Huawei Shen, Xueqi Cheng
2021 J jnl
Are Neural Ranking Models Robust?
CoRR
Chen Wu, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Xueqi Cheng
2021 J jnl
Att-FPA: Boosting Feature Perceive for Object Detection.
IEEE Access
Jingwei Liu, Yi Gu, Shumin Han, Zhibin Zhang, Jiafeng Guo, Xueqi Cheng
2021 A* conf
AugSplicing: Synchronized Behavior Detection in Streaming Tensors.
AAAI
Jiabao Zhang, Shenghua Liu, Wenting Hou, Siddharth Bhatia, Huawei Shen, Wenjian Yu, Xueqi Cheng
2021 A* conf
B-PROP: Bootstrapped Pre-training with Representative Words Prediction for Ad-hoc Retrieval.
SIGIR
Xinyu Ma, Jiafeng Guo, Ruqing Zhang, Yixing Fan, Yingyan Li, Xueqi Cheng
2021 J jnl
B-PROP: Bootstrapped Pre-training with Representative Words Prediction for Ad-hoc Retrieval.
CoRR
Xinyu Ma, Jiafeng Guo, Ruqing Zhang, Yixing Fan, Yingyan Li, Xueqi Cheng
2021 A conf
Beyond Relevance: Trustworthy Answer Selection via Consensus Verification.
WSDM
Lixin Su, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Jiangui Chen, Yanyan Lan, Xueqi Cheng
2021 — conf
Capturing SQL Query Overlapping via Subtree Copy for Cross-Domain Context-Dependent SQL Generation.
PAKDD (2)
Ruizhuo Zhao, Jinhua Gao, Huawei Shen, Xueqi Cheng
2021 — conf
CubeFlow: Money Laundering Detection with Coupled Tensors.
PAKDD (1)
Xiaobing Sun, Jiabao Zhang, Qiming Zhao, Shenghua Liu, Jinglei Chen, Ruoyu Zhuang, Huawei Shen, Xueqi Cheng
2021 J jnl
CubeFlow: Money Laundering Detection with Coupled Tensors.
CoRR
Xiaobing Sun, Jiabao Zhang, Qiming Zhao, Shenghua Liu, Jinglei Chen, Ruoyu Zhuang, Huawei Shen, Xueqi Cheng
2021 A conf
DPGS: Degree-Preserving Graph Summarization.
SDM
Houquan Zhou, Shenghua Liu, Kyuhan Lee, Kijung Shin, Huawei Shen, Xueqi Cheng
2021 J jnl
EagleMine: Vision-guided Micro-clusters recognition and collective anomaly detection.
Future Gener. Comput. Syst.
Wenjie Feng, Shenghua Liu, Christos Faloutsos, Bryan Hooi, Huawei Shen, Xueqi Cheng
2021 J jnl
Feature Rescaling and Fusion for Tiny Object Detection.
IEEE Access
Jingwei Liu, Yi Gu, Shumin Han, Zhibin Zhang, Jiafeng Guo, Xueqi Cheng
2021 A conf
FedMatch: Federated Learning Over Heterogeneous Question Answering Data.
CIKM
Jiangui Chen, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Xueqi Cheng
2021 J jnl
FedMatch: Federated Learning Over Heterogeneous Question Answering Data.
CoRR
Jiangui Chen, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Xueqi Cheng
2021 J jnl
GCN-ALP: Addressing Matching Collisions in Anchor Link Prediction.
CoRR
Hao Gao, Yongqing Wang, Shanshan Lyu, Huawei Shen, Xueqi Cheng
2021 A conf
How Medical Crowdfunding Helps People? A Large-scale Case Study on the Waterdrop Fundraising.
ICWSM
Junjie Huang, Huawei Shen, Qi Cao, Li Cai, Xueqi Cheng
2021 J jnl
Incorporating explicit syntactic dependency for aspect level sentiment classification.
Neurocomputing
Wenjun Ke, Jinhua Gao, Huawei Shen, Xueqi Cheng
2021 J jnl
Inductive Representation Based Graph Convolution Network for Collaborative Filtering.
CoRR
Yunfan Wu, Qi Cao, Huawei Shen, Shuchang Tao, Xueqi Cheng
2021 J jnl
Information retrieval: a view from the Chinese IR community.
Frontiers Comput. Sci.
Zhumin Chen, Xueqi Cheng, Shoubin Dong, Zhicheng Dou, Jiafeng Guo, Xuanjing Huang, Yanyan Lan, Chenliang Li, Ru Li, Tie-Yan Liu, Yiqun Liu, Jun Ma, Bing Qin, Mingwen Wang, Ji-Rong Wen, Jun Xu, Min Zhang, Peng Zhang, Qi Zhang
2021 — conf
Integrating Deep Event-Level and Script-Level Information for Script Event Prediction.
EMNLP (1)
Long Bai, Saiping Guan, Jiafeng Guo, Zixuan Li, Xiaolong Jin, Xueqi Cheng
2021 J jnl
Integrating Deep Event-Level and Script-Level Information for Script Event Prediction.
CoRR
Long Bai, Saiping Guan, Jiafeng Guo, Zixuan Li, Xiaolong Jin, Xueqi Cheng
2021 J jnl
Learning diffusion model-free and efficient influence function for influence maximization from information cascades.
Knowl. Inf. Syst.
Qi Cao, Huawei Shen, Jinhua Gao, Xueqi Cheng
2021 A* conf
Learning to Truncate Ranked Lists for Information Retrieval.
AAAI
Chen Wu, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng
2021 J jnl
Learning to Truncate Ranked Lists for Information Retrieval.
CoRR
Chen Wu, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng
2021 J jnl
Link Prediction on N-ary Relational Data Based on Relatedness Evaluation.
CoRR
Saiping Guan, Xiaolong Jin, Jiafeng Guo, Yuanzhuo Wang, Xueqi Cheng
2021 J jnl
Locate Who You Are: Matching Geo-location to Text for Anchor Link Prediction.
CoRR
Jiangli Shao, Yongqing Wang, Hao Gao, Huawei Shen, Xueqi Cheng
2021 A conf
Locate Who You Are: Matching Geo-location to Text for User Identity Linkage.
CIKM
Jiangli Shao, Yongqing Wang, Hao Gao, Huawei Shen, Yangyang Li, Xueqi Cheng
2021 A conf
Match-Ignition: Plugging PageRank into Transformer for Long-form Text Matching.
CIKM
Liang Pang, Yanyan Lan, Xueqi Cheng
2021 J jnl
Match-Ignition: Plugging PageRank into Transformer for Long-form Text Matching.
CoRR
Liang Pang, Yanyan Lan, Xueqi Cheng
2021 A conf
PROP: Pre-training with Representative Words Prediction for Ad-hoc Retrieval.
WSDM
Xinyu Ma, Jiafeng Guo, Ruqing Zhang, Yixing Fan, Xiang Ji, Xueqi Cheng
2021 J jnl
Pre-training of Temporal Convolutional Neural Networks for Popularity Prediction.
CoRR
Qi Cao, Huawei Shen, Yuanhao Liu, Jinhua Gao, Xueqi Cheng
2021 J jnl
Roulette: A Pruning Framework to Train a Sparse Neural Network From Scratch.
IEEE Access
Qiaoling Zhong, Zhibin Zhang, Qiang Qiu, Xueqi Cheng
2021 A* conf
SDGNN: Learning Node Representation for Signed Directed Networks.
AAAI
Junjie Huang, Huawei Shen, Liang Hou, Xueqi Cheng
2021 J jnl
SDGNN: Learning Node Representation for Signed Directed Networks.
CoRR
Junjie Huang, Huawei Shen, Liang Hou, Xueqi Cheng
2021 A conf
SIGNLENS: A Tool for Analyzing People's Polarization Social Relationship Based on Signed Graph Modeling.
ICWSM
Junjie Huang, Huawei Shen, Xueqi Cheng
2021 — conf
Search from History and Reason for Future: Two-stage Reasoning on Temporal Knowledge Graphs.
ACL/IJCNLP (1)
Zixuan Li, Xiaolong Jin, Saiping Guan, Wei Li, Jiafeng Guo, Yuanzhuo Wang, Xueqi Cheng
2021 J jnl
Search from History and Reason for Future: Two-stage Reasoning on Temporal Knowledge Graphs.
CoRR
Zixuan Li, Xiaolong Jin, Saiping Guan, Wei Li, Jiafeng Guo, Yuanzhuo Wang, Xueqi Cheng
2021 A* conf
Self-Supervised GANs with Label Augmentation.
NeurIPS
Liang Hou, Huawei Shen, Qi Cao, Xueqi Cheng
2021 J jnl
Self-supervised GANs with Label Augmentation.
CoRR
Liang Hou, Huawei Shen, Qi Cao, Xueqi Cheng
2021 J jnl
Semantic Models for the First-stage Retrieval: A Comprehensive Review.
CoRR
Yinqiong Cai, Yixing Fan, Jiafeng Guo, Fei Sun, Ruqing Zhang, Xueqi Cheng
2021 — conf
Semantic-Syntax Cascade Injection Model for Aspect Sentiment Triple Extraction.
PAKDD (2)
Wenjun Ke, Jinhua Gao, Huawei Shen, Xueqi Cheng
2021 A conf
Signed Bipartite Graph Neural Networks.
CIKM
Junjie Huang, Huawei Shen, Qi Cao, Shuchang Tao, Xueqi Cheng
2021 J jnl
Signed Bipartite Graph Neural Networks.
CoRR
Junjie Huang, Huawei Shen, Qi Cao, Shuchang Tao, Xueqi Cheng
2021 A conf
Single Node Injection Attack against Graph Neural Networks.
CIKM
Shuchang Tao, Qi Cao, Huawei Shen, Junjie Huang, Yunfan Wu, Xueqi Cheng
2021 J jnl
Single Node Injection Attack against Graph Neural Networks.
CoRR
Shuchang Tao, Qi Cao, Huawei Shen, Junjie Huang, Yunfan Wu, Xueqi Cheng
2021 A* conf
Sketch and Customize: A Counterfactual Story Generator.
AAAI
Changying Hao, Liang Pang, Yanyan Lan, Yan Wang, Jiafeng Guo, Xueqi Cheng
2021 J jnl
Sketch and Customize: A Counterfactual Story Generator.
CoRR
Changying Hao, Liang Pang, Yanyan Lan, Yan Wang, Jiafeng Guo, Xueqi Cheng
2021 A* conf
Slimmable Generative Adversarial Networks.
AAAI
Liang Hou, Zehuan Yuan, Lei Huang, Huawei Shen, Xueqi Cheng, Changhu Wang
2021 A* conf
Temporal Knowledge Graph Reasoning Based on Evolutional Representation Learning.
SIGIR
Zixuan Li, Xiaolong Jin, Wei Li, Saiping Guan, Jiafeng Guo, Huawei Shen, Yuanzhuo Wang, Xueqi Cheng
2021 J jnl
Temporal Knowledge Graph Reasoning Based on Evolutional Representation Learning.
CoRR
Zixuan Li, Xiaolong Jin, Wei Li, Saiping Guan, Jiafeng Guo, Huawei Shen, Yuanzhuo Wang, Xueqi Cheng
2021 J jnl
Toward the Understanding of Deep Text Matching Models for Information Retrieval.
CoRR
Lijuan Chen, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng
2021 A* conf
Towards Consumer Loan Fraud Detection: Graph Neural Networks with Role-Constrained Conditional Random Field.
AAAI
Bingbing Xu, Huawei Shen, Bing-Jie Sun, Rong An, Qi Cao, Xueqi Cheng
2021 — conf
Transductive Learning for Unsupervised Text Style Transfer.
EMNLP (1)
Fei Xiao, Liang Pang, Yanyan Lan, Yan Wang, Huawei Shen, Xueqi Cheng
2021 J jnl
Transductive Learning for Unsupervised Text Style Transfer.
CoRR
Fei Xiao, Liang Pang, Yanyan Lan, Yan Wang, Huawei Shen, Xueqi Cheng
2021 A* conf
Transformation Driven Visual Reasoning.
CVPR
Xin Hong, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng
2021 J jnl
Truth Discovery by Claim and Source Embedding.
IEEE Trans. Knowl. Data Eng.
Shanshan Lyu, Wentao Ouyang, Yongqing Wang, Huawei Shen, Xueqi Cheng
2021 — conf
UGCLink: User Identity Linkage by Modeling User Generated Contents with Knowledge Distillation.
IEEE BigData
Hao Gao, Yongqing Wang, Jiangli Shao, Huawei Shen, Xueqi Cheng
2021 A* conf
Uncertainty Calibration for Ensemble-Based Debiasing Methods.
NeurIPS
Ruibin Xiong, Yimeng Chen, Liang Pang, Xueqi Cheng, Zhi-Ming Ma, Yanyan Lan
2021 J jnl
Uncertainty Calibration for Ensemble-Based Debiasing Methods.
CoRR
Ruibin Xiong, Yimeng Chen, Liang Pang, Xueqi Cheng, Yanyan Lan
2021 J jnl
What is Event Knowledge Graph: A Survey.
CoRR
Saiping Guan, Xueqi Cheng, Long Bai, Fujun Zhang, Zixuan Li, Yutao Zeng, Xiaolong Jin, Jiafeng Guo
2021 J jnl
cGANs with Auxiliary Discriminative Classifier.
CoRR
Liang Hou, Qi Cao, Huawei Shen, Xueqi Cheng
2021 J jnl
h
Scientometrics
Siying Li, Huawei Shen, Peng Bao, Xueqi Cheng
2020 J jnl
A Deep Look into neural ranking models for information retrieval.
Inf. Process. Manag.
Jiafeng Guo, Yixing Fan, Liang Pang, Liu Yang, Qingyao Ai, Hamed Zamani, Chen Wu, W. Bruce Croft, Xueqi Cheng
2020 — conf
A Novel Dynamic User Admission Scheme for Multi-cell Massive MIMO Systems.
BMSB
Shuai Ma, Easton Li Xu, Chun Du, Xueqi Cheng, Shiyin Li
2020 J jnl
Adversarial Immunization for Improving Certifiable Robustness on Graphs.
CoRR
Shuchang Tao, Huawei Shen, Qi Cao, Liang Hou, Xueqi Cheng
2020 J jnl
AugSplicing: Synchronized Behavior Detection in Streaming Tensors.
CoRR
Jiabao Zhang, Shenghua Liu, Wenting Hou, Siddharth Bhatia, Huawei Shen, Wenjian Yu, Xueqi Cheng
2020 — conf
BaKGraSTeC: A Background Knowledge Graph Based Method for Short Text Classification.
ICKG
Xuhui Jiang, Yinghan Shen, Yuanzhuo Wang, Xiaolong Jin, Xueqi Cheng
2020 — conf
Beyond Language: Learning Commonsense from Images for Reasoning.
EMNLP (Findings)
Wanqing Cui, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng
2020 J jnl
Beyond Language: Learning Commonsense from Images for Reasoning.
CoRR
Wanqing Cui, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng
2020 — conf
Bursty Event Detection via Multichannel Feature Alignment.
ICBDC
Guangsheng Kuang, Yan Guo, Yue Liu, Liang Pang, Zhihua Yu, Xueqi Cheng, Jinlong Liu, Xiaoming Yu
2020 A conf
Continual Domain Adaptation for Machine Reading Comprehension.
CIKM
Lixin Su, Jiafeng Guo, Ruqing Zhang, Yixing Fan, Yanyan Lan, Xueqi Cheng
2020 J jnl
Continual Domain Adaptation for Machine Reading Comprehension.
CoRR
Lixin Su, Jiafeng Guo, Ruqing Zhang, Yixing Fan, Yanyan Lan, Xueqi Cheng
2020 A conf
Dual Rejection Sampling for Wasserstein Auto-Encoders.
ECAI
Liang Hou, Huawei Shen, Xueqi Cheng
2020 J jnl
Dual-factor Generation Model for Conversation.
ACM Trans. Inf. Syst.
Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng
2020 — conf
Dynamic Relation Extraction with A Learnable Temporal Encoding Method.
ICKG
Yinghan Shen, Xuhui Jiang, Yuanzhuo Wang, Xiaolong Jin, Xueqi Cheng
2020 A* conf
Entity Type Enhanced Neural Model for Distantly Supervised Relation Extraction (Student Abstract).
AAAI
Long Bai, Xiaolong Jin, Chuanzhi Zhuang, Xueqi Cheng
2020 A* conf
Evaluating Natural Language Generation via Unbalanced Optimal Transport.
IJCAI
Yimeng Chen, Yanyan Lan, Ruibin Xiong, Liang Pang, Zhiming Ma, Xueqi Cheng
2020 B conf
Event Coreference Resolution with their Paraphrases and Argument-aware Embeddings.
COLING
Yutao Zeng, Xiaolong Jin, Saiping Guan, Jiafeng Guo, Xueqi Cheng
2020 A* conf
FlowScope: Spotting Money Laundering Based on Graphs.
AAAI
Xiangfeng Li, Shenghua Liu, Zifeng Li, Xiaotian Han, Chuan Shi, Bryan Hooi, He Huang, Xueqi Cheng
2020 — conf
GCN-ALP: Addressing Matching Collisions in Anchor Link Prediction.
ICKG
Hao Gao, Yongqing Wang, Shanshan Lyu, Huawei Shen, Xueqi Cheng
2020 J jnl
Graph Convolutional Networks using Heat Kernel for Semi-supervised Learning.
CoRR
Bingbing Xu, Huawei Shen, Qi Cao, Keting Cen, Xueqi Cheng
2020 A conf
Hierarchical Query Graph Generation for Complex Question Answering over Knowledge Graph.
CIKM
Yunqi Qiu, Kun Zhang, Yuanzhuo Wang, Xiaolong Jin, Long Bai, Saiping Guan, Xueqi Cheng
2020 J jnl
How Medical Crowdfunding Helps People? A Large-scale Case Study on Waterdrop Fundraising.
CoRR
Junjie Huang, Huawei Shen, Qi Cao, Li Cai, Xueqi Cheng
2020 J jnl
L2R2: Leveraging Ranking for Abductive Reasoning.
CoRR
Yunchang Zhu, Liang Pang, Yanyan Lan, Xueqi Cheng
2020 A* conf
L2R²: Leveraging Ranking for Abductive Reasoning.
SIGIR
Yunchang Zhu, Liang Pang, Yanyan Lan, Xueqi Cheng
2020 A conf
Label Distribution Augmented Maximum Likelihood Estimation for Reading Comprehension.
WSDM
Lixin Su, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng
2020 A* conf
Label-Consistency based Graph Neural Networks for Semi-supervised Node Classification.
SIGIR
Bingbing Xu, Junjie Huang, Liang Hou, Huawei Shen, Jinhua Gao, Xueqi Cheng
2020 J jnl
Label-Consistency based Graph Neural Networks for Semi-supervised Node Classification.
CoRR
Bingbing Xu, Junjie Huang, Liang Hou, Huawei Shen, Jinhua Gao, Xueqi Cheng
2020 A* conf
Link Prediction between Group Entities in Knowledge Graphs (Student Abstract).
AAAI
Jialin Su, Yuanzhuo Wang, Xiaolong Jin, Yantao Jia, Xueqi Cheng
2020 B conf
Marabunta: Continuous Distributed Processing of Skewed Streams.
CCGRID
Bing Li, Zhibin Zhang, Tianqi Zheng, Qiaoling Zhong, Qun Huang, Xueqi Cheng
2020 J jnl
Match
CoRR
Zizhen Wang, Yixing Fan, Jiafeng Guo, Liu Yang, Ruqing Zhang, Yanyan Lan, Xueqi Cheng, Hui Jiang, Xiaozhao Wang
2020 A* conf
Match²: A Matching over Matching Model for Similar Question Identification.
SIGIR
Zizhen Wang, Yixing Fan, Jiafeng Guo, Liu Yang, Ruqing Zhang, Yanyan Lan, Xueqi Cheng, Hui Jiang, Xiaozhao Wang
2020 — conf
Modeling POI-Specific Spatial-Temporal Context for Point-of-Interest Recommendation.
PAKDD (1)
Hao Wang, Huawei Shen, Xueqi Cheng
2020 — conf
Modeling Users' Multifaceted Interest Correlation for Social Recommendation.
PAKDD (1)
Hao Wang, Huawei Shen, Xueqi Cheng
2020 A* conf
NeuInfer: Knowledge Inference on N-ary Facts.
ACL
Saiping Guan, Xiaolong Jin, Jiafeng Guo, Yuanzhuo Wang, Xueqi Cheng
2020 A* conf
On the Relation between Quality-Diversity Evaluation and Distribution-Fitting Goal in Text Generation.
ICML
Jianing Li, Yanyan Lan, Jiafeng Guo, Xueqi Cheng
2020 J jnl
On the Relation between Quality-Diversity Evaluation and Distribution-Fitting Goal in Text Generation.
CoRR
Jianing Li, Yanyan Lan, Jiafeng Guo, Xueqi Cheng
2020 J jnl
Online detection of anomaly behaviors based on multidimensional trajectories.
Inf. Fusion
Xinlong Pan, Haipeng Wang, Xueqi Cheng, Xuan Peng, You He
2020 J jnl
PROP: Pre-training with Representative Words Prediction for Ad-hoc Retrieval.
CoRR
Xinyu Ma, Jiafeng Guo, Ruqing Zhang, Yixing Fan, Xiang Ji, Xueqi Cheng
2020 A conf
Popularity Prediction on Social Platforms with Coupled Graph Neural Networks.
WSDM
Qi Cao, Huawei Shen, Jinhua Gao, Bingzheng Wei, Xueqi Cheng
2020 A* ed.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, SIGIR 2020, Virtual Event, China, July 25-30, 2020
SIGIR
Jimmy X. Huang, Yi Chang, Xueqi Cheng, Jaap Kamps, Vanessa Murdock, Ji-Rong Wen, Yiqun Liu
2020 A conf
Query Understanding via Intent Description Generation.
CIKM
Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng
2020 J jnl
Query Understanding via Intent Description Generation.
CoRR
Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng
2020 A conf
Ranking Enhanced Dialogue Generation.
CIKM
Changying Hao, Liang Pang, Yanyan Lan, Fei Sun, Jiafeng Guo, Xueqi Cheng
2020 J jnl
Ranking Enhanced Dialogue Generation.
CoRR
Changying Hao, Liang Pang, Yanyan Lan, Fei Sun, Jiafeng Guo, Xueqi Cheng
2020 A* conf
Reinforcement Learning to Rank with Pairwise Policy Gradient.
SIGIR
Jun Xu, Zeng Wei, Long Xia, Yanyan Lan, Dawei Yin, Xueqi Cheng, Ji-Rong Wen
2020 A* conf
SetRank: Learning a Permutation-Invariant Ranking Model for Information Retrieval.
SIGIR
Liang Pang, Jun Xu, Qingyao Ai, Yanyan Lan, Xueqi Cheng, Jirong Wen
2020 J jnl
Slimmable Generative Adversarial Networks.
CoRR
Liang Hou, Zehuan Yuan, Lei Huang, Huawei Shen, Xueqi Cheng, Changhu Wang
2020 — conf
SpecGreedy: Unified Dense Subgraph Detection.
ECML/PKDD (1)
Wenjie Feng, Shenghua Liu, Danai Koutra, Huawei Shen, Xueqi Cheng
2020 A* conf
Structure Learning for Headline Generation.
AAAI
Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng
2020 J jnl
Summarizing graphs using the configuration model.
CoRR
Houquan Zhou, Shenghua Liu, Kyuhan Lee, Kijung Shin, Huawei Shen, Xueqi Cheng
2020 J jnl
The Propagation Background in Social Networks: Simulating and Modeling.
Int. J. Autom. Comput.
Kai Li, Tong Xu, Shuai Feng, Lisheng Qiao, Hua-Wei Shen, Tian-yang Lv, Xueqi Cheng, En-Hong Chen
2020 J jnl
Transformation Driven Visual Reasoning.
CoRR
Xin Hong, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng
2019 — ed.
2019 International Conference on Data Mining Workshops, ICDM Workshops 2019, Beijing, China, November 8-11, 2019
ICDM Workshops
Panagiotis Papapetrou, Xueqi Cheng, Qing He
2019 J jnl
A Deep Look into Neural Ranking Models for Information Retrieval.
CoRR
Jiafeng Guo, Yixing Fan, Liang Pang, Liu Yang, Qingyao Ai, Hamed Zamani, Chen Wu, W. Bruce Croft, Xueqi Cheng
2019 J jnl
A Graph Auto-Encoder for Attributed Network Embedding.
CoRR
Keting Cen, Huawei Shen, Jinhua Gao, Qi Cao, Bingbing Xu, Xueqi Cheng
2019 — conf
A High Performance Text Vector Similarity Search Method Based on Overlapping Degree.
ICDM Workshops
Peng Zhao, Fan Yang, Zhibin Zhang, Jiafeng Guo, Xueqi Cheng
2019 A* conf
An Adaptive Framework for Conversational Question Answering.
AAAI
Lixin Su, Jiafeng Guo, Yixing Fan, Yanyan Lan, Ruqing Zhang, Xueqi Cheng
2019 A* conf
BeatGAN: Anomalous Rhythm Detection using Adversarially Generated Time Series.
IJCAI
Bin Zhou, Shenghua Liu, Bryan Hooi, Xueqi Cheng, Jing Ye
2019 — conf
Beyond Outliers and on to Micro-clusters: Vision-Guided Anomaly Detection.
PAKDD (1)
Wenjie Feng, Shenghua Liu, Christos Faloutsos, Bryan Hooi, Huawei Shen, Xueqi Cheng
2019 B ed.
Big Data - 7th CCF Conference, BigData 2019, Wuhan, China, September 26-28, 2019, Proceedings
Big Data (CCF)
Hai Jin, Xuemin Lin, Xueqi Cheng, Xuanhua Shi, Nong Xiao, Yihua Huang
2019 J jnl
CT LIS: Learning Influences and Susceptibilities through Temporal Behaviors.
ACM Trans. Knowl. Discov. Data
Shenghua Liu, Huawei Shen, Houdong Zheng, Xueqi Cheng, Xiangwen Liao
2019 — conf
CatchCore: Catching Hierarchical Dense Subtensor.
ECML/PKDD (1)
Wenjie Feng, Shenghua Liu, Xueqi Cheng
2019 A* conf
Controlling Risk of Web Question Answering.
SIGIR
Lixin Su, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng
2019 J jnl
Controlling Risk of Web Question Answering.
CoRR
Lixin Su, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng
2019 J jnl
Coupled Graph Neural Networks for Predicting the Popularity of Online Content.
CoRR
Qi Cao, Huawei Shen, Jinhua Gao, Bingzheng Wei, Xueqi Cheng
2019 A* conf
Differentiated Distribution Recovery for Neural Text Generation.
AAAI
Jianing Li, Yanyan Lan, Jiafeng Guo, Jun Xu, Xueqi Cheng
2019 — conf
EigenPulse: Detecting Surges in Large Streaming Graphs with Row Augmentation.
PAKDD (2)
Jiabao Zhang, Shenghua Liu, Wenjian Yu, Wenjie Feng, Xueqi Cheng
2019 — conf
Event Detection with Multi-Order Graph Convolution and Aggregated Attention.
EMNLP/IJCNLP (1)
Haoran Yan, Xiaolong Jin, Xiangbin Meng, Jiafeng Guo, Xueqi Cheng
2019 A* conf
Graph Convolutional Networks using Heat Kernel for Semi-supervised Learning.
IJCAI
Bingbing Xu, Huawei Shen, Qi Cao, Keting Cen, Xueqi Cheng
2019 — conf
Graph Wavelet Neural Network.
ICLR (Poster)
Bingbing Xu, Huawei Shen, Qi Cao, Yunqi Qiu, Xueqi Cheng
2019 J jnl
Graph Wavelet Neural Network.
CoRR
Bingbing Xu, Huawei Shen, Qi Cao, Yunqi Qiu, Xueqi Cheng
2019 A* conf
HAS-QA: Hierarchical Answer Spans Model for Open-Domain Question Answering.
AAAI
Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Lixin Su, Xueqi Cheng
2019 J jnl
HAS-QA: Hierarchical Answer Spans Model for Open-domain Question Answering.
CoRR
Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Lixin Su, Xueqi Cheng
2019 J jnl
Kaleido: An Efficient Out-of-core Graph Mining System on A Single Machine.
CoRR
Cheng Zhao, Zhibin Zhang, Peng Xu, Tianqi Zheng, Xueqi Cheng
2019 A* conf
Learning Binary Hash Codes for Fast Anchor Link Retrieval across Networks.
WWW
Yongqing Wang, Huawei Shen, Jinhua Gao, Xueqi Cheng
2019 J jnl
Learning representations for quality estimation of crowdsourced submissions.
Inf. Process. Manag.
Shanshan Lyu, Wentao Ouyang, Huawei Shen, Xueqi Cheng
2019 A* conf
Link Prediction on N-ary Relational Data.
WWW
Saiping Guan, Xiaolong Jin, Yuanzhuo Wang, Xueqi Cheng
2019 A* conf
MatchZoo: A Learning, Practicing, and Developing System for Neural Text Matching.
SIGIR
Jiafeng Guo, Yixing Fan, Xiang Ji, Xueqi Cheng
2019 J jnl
MatchZoo: A Learning, Practicing, and Developing System for Neural Text Matching.
CoRR
Jiafeng Guo, Yixing Fan, Xiang Ji, Xueqi Cheng
2019 J jnl
Modeling the Parameter Interactions in Ranking SVM with Low-Rank Approximation.
IEEE Trans. Knowl. Data Eng.
Jun Xu, Wei Zeng, Yanyan Lan, Jiafeng Guo, Xueqi Cheng
2019 J jnl
Neural or Statistical: An Empirical Study on Language Models for Chinese Input Recommendation on Mobile.
CoRR
Hainan Zhang, Yanyan Lan, Jiafeng Guo, Jun Xu, Xueqi Cheng
2019 A* conf
Outline Generation: Understanding the Inherent Content Structure of Documents.
SIGIR
Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng
2019 J jnl
Outline Generation: Understanding the Inherent Content Structure of Documents.
CoRR
Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng
2019 J jnl
Parameter Estimation with the Ordered 𝓁
CoRR
Mahammad Humayoo, Xueqi Cheng
2019 A ed.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, CIKM 2019, Beijing, China, November 3-7, 2019.
CIKM
Wenwu Zhu, Dacheng Tao, Xueqi Cheng, Peng Cui, Elke A. Rundensteiner, David Carmel, Qi He, Jeffrey Xu Yu
2019 — conf
ReCoSa: Detecting the Relevant Contexts with Self-Attention for Multi-turn Dialogue Generation.
ACL (1)
Hainan Zhang, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng
2019 J jnl
ReCoSa: Detecting the Relevant Contexts with Self-Attention for Multi-turn Dialogue Generation.
CoRR
Hainan Zhang, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng
2019 J jnl
Self-learning and embedding based entity alignment.
Knowl. Inf. Syst.
Saiping Guan, Xiaolong Jin, Yuanzhuo Wang, Yantao Jia, Huawei Shen, Zixuan Li, Xueqi Cheng
2019 B conf
Semi-supervised Auto-encoder Based Event Detection in Constructing Knowledge Graph for Social Good.
WI
Yue Zhao, Xiaolong Jin, Yuanzhuo Wang, Xueqi Cheng
2019 J jnl
SetRank: Learning a Permutation-Invariant Ranking Model for Information Retrieval.
CoRR
Liang Pang, Jun Xu, Qingyao Ai, Yanyan Lan, Xueqi Cheng, Jirong Wen
2019 — conf
Signed Graph Attention Networks.
ICANN (Workshop)
Junjie Huang, Huawei Shen, Liang Hou, Xueqi Cheng
2019 J jnl
Signed Graph Attention Networks.
CoRR
Junjie Huang, Huawei Shen, Liang Hou, Xueqi Cheng
2019 — conf
SilverChunk: An Efficient In-Memory Parallel Graph Processing System.
DEXA (2)
Tianqi Zheng, Zhibin Zhang, Xueqi Cheng
2019 — conf
Soft Contextual Data Augmentation for Neural Machine Translation.
ACL (1)
Fei Gao, Jinhua Zhu, Lijun Wu, Yingce Xia, Tao Qin, Xueqi Cheng, Wengang Zhou, Tie-Yan Liu
2019 J jnl
Soft Contextual Data Augmentation for Neural Machine Translation.
CoRR
Jinhua Zhu, Fei Gao, Lijun Wu, Yingce Xia, Tao Qin, Wengang Zhou, Xueqi Cheng, Tie-Yan Liu
2019 A* conf
Teaching Machines to Extract Main Content for Machine Reading Comprehension.
AAAI
Zhaohui Li, Yue Feng, Jun Xu, Jiafeng Guo, Yanyan Lan, Xueqi Cheng
2019 — conf
Temporal Convolutional Networks for Popularity Prediction of Messages on Social Medias.
CCIR
Jiangli Shao, Huawei Shen, Qi Cao, Xueqi Cheng
2019 J jnl
Trend-Smooth: Accelerate Asynchronous SGD by Smoothing Parameters Using Parameter Trends.
IEEE Access
Guoxin Cui, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng
2019 — conf
Understanding and Improving Neural Ranking Models from a Term Dependence View.
AIRS
Yixing Fan, Jiafeng Guo, Yanyan Lan, Xueqi Cheng
2019 A* conf
What We Vote for? Answer Selection from User Expertise View in Community Question Answering.
WWW
Shanshan Lyu, Wentao Ouyang, Yongqing Wang, Huawei Shen, Xueqi Cheng
2018 — conf
A Comparison Between Term-Based and Embedding-Based Methods for Initial Retrieval.
CCIR
Tonglei Guo, Jiafeng Guo, Yixing Fan, Yanyan Lan, Jun Xu, Xueqi Cheng
2018 — conf
A Deep Top-K Relevance Matching Model for Ad-hoc Retrieval.
CCIR
Zhou Yang, Qingfeng Lan, Jiafeng Guo, Yixing Fan, Xiaofei Zhu, Yanyan Lan, Yue Wang, Xueqi Cheng
2018 A conf
Aggregating Neural Word Embeddings for Document Representation.
ECIR
Ruqing Zhang, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng
2018 J jnl
Beyond Precision: A Study on Recall of Initial Retrieval with Neural Representations.
CoRR
Yan Xiao, Jiafeng Guo, Yixing Fan, Yanyan Lan, Jun Xu, Xueqi Cheng
2018 — conf
Document Embedding Enhanced Event Detection with Hierarchical and Supervised Attention.
ACL (2)
Yue Zhao, Xiaolong Jin, Yuanzhuo Wang, Xueqi Cheng
2018 — conf
Efficient Sequence Learning with Group Recurrent Networks.
NAACL-HLT
Fei Gao, Lijun Wu, Li Zhao, Tao Qin, Xueqi Cheng, Tie-Yan Liu
2018 A* conf
Exploiting Contextual Information via Dynamic Memory Network for Event Detection.
EMNLP
Shaobo Liu, Rui Cheng, Xiaoming Yu, Xueqi Cheng
2018 J jnl
Exploiting Contextual Information via Dynamic Memory Network for Event Detection.
CoRR
Shaobo Liu, Rui Cheng, Xiaoming Yu, Xueqi Cheng
2018 A* conf
Exploiting POI-Specific Geographical Influence for Point-of-Interest Recommendation.
IJCAI
Hao Wang, Huawei Shen, Wentao Ouyang, Xueqi Cheng
2018 A* conf
Fast Approximate Nearest Neighbor Search via k-Diverse Nearest Neighbor Graph.
AAAI
Yan Xiao, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng
2018 — conf
Finding High-Quality Unstructured Submissions in General Crowdsourcing Tasks.
CCIR
Shanshan Lyu, Wentao Ouyang, Huawei Shen, Xueqi Cheng
2018 A* conf
From Greedy Selection to Exploratory Decision-Making: Diverse Ranking with Policy-Value Networks.
SIGIR
Yue Feng, Jun Xu, Yanyan Lan, Jiafeng Guo, Wei Zeng, Xueqi Cheng
2018 — conf
Generative Paragraph Vector.
CCIR
Ruqing Zhang, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng
2018 — conf
Hierarchical Answer Selection Framework for Multi-passage Machine Reading Comprehension.
CCIR
Zhaohui Li, Jun Xu, Yanyan Lan, Jiafeng Guo, Yue Feng, Xueqi Cheng
2018 J jnl
Knowledge Graph Embedding: A Locally and Temporally Adaptive Translation-Based Approach.
ACM Trans. Web
Yantao Jia, Yuanzhuo Wang, Xiaolong Jin, Hailun Lin, Xueqi Cheng
2018 J jnl
Learning from context: A mutual reinforcement model for Chinese microblog opinion retrieval.
Frontiers Comput. Sci.
Jingjing Wei, Xiangwen Liao, Houdong Zheng, Guolong Chen, Xueqi Cheng
2018 J jnl
Learning sequential features for cascade outbreak prediction.
Knowl. Inf. Syst.
Chengcheng Gou, Huawei Shen, Pan Du, Dayong Wu, Yue Liu, Xueqi Cheng
2018 — conf
Learning to Control the Specificity in Neural Response Generation.
ACL (1)
Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, Jun Xu, Xueqi Cheng
2018 Misc conf
MQGrad: Reinforcement Learning of Gradient Quantization in Parameter Server.
ICTIR
Guoxin Cui, Jun Xu, Wei Zeng, Yanyan Lan, Jiafeng Guo, Xueqi Cheng
2018 J jnl
MQGrad: Reinforcement Learning of Gradient Quantization in Parameter Server.
CoRR
Guoxin Cui, Jun Xu, Wei Zeng, Yanyan Lan, Jiafeng Guo, Xueqi Cheng
2018 B conf
Model-free Knockoffs for SLOPE-Adaptive Variable Selection with Controlled False Discovery Rate.
ICPR
Mahammad Humayoo, Xueqi Cheng
2018 A* conf
Modeling Diverse Relevance Patterns in Ad-hoc Retrieval.
SIGIR
Yixing Fan, Jiafeng Guo, Yanyan Lan, Jun Xu, ChengXiang Zhai, Xueqi Cheng
2018 J jnl
Modeling Diverse Relevance Patterns in Ad-hoc Retrieval.
CoRR
Yixing Fan, Jiafeng Guo, Yanyan Lan, Jun Xu, ChengXiang Zhai, Xueqi Cheng
2018 J jnl
Modeling the Correlations of Relations for Knowledge Graph Embedding.
J. Comput. Sci. Technol.
Jizhao Zhu, Yantao Jia, Jun Xu, Jianzhong Qiao, Xueqi Cheng
2018 Misc conf
Multi Page Search with Reinforcement Learning to Rank.
ICTIR
Wei Zeng, Jun Xu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng
2018 A conf
Neighborhood Voting: A Novel Search Scheme for Hashing.
CIKM
Yan Xiao, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng
2018 A* conf
NeuCast: Seasonal Neural Forecast of Power Grid Time Series.
IJCAI
Pudi Chen, Shenghua Liu, Chuan Shi, Bryan Hooi, Bai Wang, Xueqi Cheng
2018 — conf
Path Reasoning over Knowledge Graph: A Multi-agent and Reinforcement Learning Based Method.
ICDM Workshops
Zixuan Li, Xiaolong Jin, Saiping Guan, Yuanzhuo Wang, Xueqi Cheng
2018 J jnl
Path-specific knowledge graph embedding.
Knowl. Based Syst.
Yantao Jia, Yuanzhuo Wang, Xiaolong Jin, Xueqi Cheng
2018 A conf
Question Headline Generation for News Articles.
CIKM
Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, Jun Xu, Huanhuan Cao, Xueqi Cheng
2018 — conf
RI-Match: Integrating Both Representations and Interactions for Deep Semantic Matching.
AIRS
Lijuan Chen, Yanyan Lan, Liang Pang, Jiafeng Guo, Jun Xu, Xueqi Cheng
2018 A* conf
Reducing Variance in Gradient Bandit Algorithm using Antithetic Variates Method.
SIGIR
Sihao Yu, Jun Xu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng
2018 A* conf
Reinforcing Coherence for Sequence to Sequence Model in Dialogue Generation.
IJCAI
Hainan Zhang, Yanyan Lan, Jiafeng Guo, Jun Xu, Xueqi Cheng
2018 J jnl
Relative Importance Sampling For Off-Policy Actor-Critic in Deep Reinforcement Learning.
CoRR
Mahammad Humayoo, Xueqi Cheng
2018 J jnl
Sequence Tagging with Policy-Value Networks and Tree Search.
CoRR
Yadi Lao, Jun Xu, Yanyan Lan, Jiafeng Guo, Sheng Gao, Xueqi Cheng
2018 A conf
Shared Embedding Based Neural Networks for Knowledge Graph Completion.
CIKM
Saiping Guan, Xiaolong Jin, Yuanzhuo Wang, Xueqi Cheng
2018 A conf
Spherical Paragraph Model.
ECIR
Ruqing Zhang, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng
2018 — conf
Tailored Sequence to Sequence Models to Different Conversation Scenarios.
ACL (1)
Hainan Zhang, Yanyan Lan, Jiafeng Guo, Jun Xu, Xueqi Cheng
2018 — conf
Text Matching with Monte Carlo Tree Search.
CCIR
Yixuan He, Shuchang Tao, Jun Xu, Jiafeng Guo, Yanyan Lan, Xueqi Cheng
2018 A* conf
Towards Efficient Detection of Overlapping Communities in Massive Networks.
AAAI
Bing-Jie Sun, Huawei Shen, Jinhua Gao, Wentao Ouyang, Xueqi Cheng
2018 — conf
ULE: Learning User and Location Embeddings for POI Recommendation.
DSC
Hao Wang, Wentao Ouyang, Huawei Shen, Xueqi Cheng
2017 J jnl
A Deep Investigation of Deep IR Models.
CoRR
Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Xueqi Cheng
2017 A conf
A Non-negative Symmetric Encoder-Decoder Approach for Community Detection.
CIKM
Bing-Jie Sun, Huawei Shen, Jinhua Gao, Wentao Ouyang, Xueqi Cheng
2017 — conf
Academic Access Data Analysis for Literature Recommendation.
CCIR
Yixing Fan, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng
2017 A* conf
Adapting Markov Decision Process for Search Result Diversification.
SIGIR
Long Xia, Jun Xu, Yanyan Lan, Jiafeng Guo, Wei Zeng, Xueqi Cheng
2017 A* conf
Cascade Dynamics Modeling with Attention-based Recurrent Neural Network.
IJCAI
Yongqing Wang, Huawei Shen, Shenghua Liu, Jinhua Gao, Xueqi Cheng
2017 — conf
Coarse to Fine: Diffusing Categories in Wikipedia.
WWW (Companion Volume)
Pengshan Cai, Yansong Feng, Yantao Jia, Yuanzhuo Wang, Xiaolong Jin, Xueqi Cheng
2017 A* conf
Cross-Domain Recommendation: An Embedding and Mapping Approach.
IJCAI
Tong Man, Huawei Shen, Xiaolong Jin, Xueqi Cheng
2017 J jnl
Crowd intelligence in AI 2.0 era.
Frontiers Inf. Technol. Electron. Eng.
Wei Li, Wenjun Wu, Huaimin Wang, Xueqi Cheng, Huajun Chen, Zhi-Hua Zhou, Rong Ding
2017 A conf
DeepHawkes: Bridging the Gap between Prediction and Understanding of Information Cascades.
CIKM
Qi Cao, Huawei Shen, Keting Cen, Wentao Ouyang, Xueqi Cheng
2017 A conf
DeepRank: A New Deep Architecture for Relevance Ranking in Information Retrieval.
CIKM
Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Jingfang Xu, Xueqi Cheng
2017 J jnl
DeepRank: A New Deep Architecture for Relevance Ranking in Information Retrieval.
CoRR
Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Jingfang Xu, Xueqi Cheng
2017 J jnl
Directly Optimize Diversity Evaluation Measures: A New Approach to Search Result Diversification.
ACM Trans. Intell. Syst. Technol.
Jun Xu, Long Xia, Yanyan Lan, Jiafeng Guo, Xueqi Cheng
2017 — conf
Do Rumors Diffuse Differently from Non-rumors? A Systematically Empirical Analysis in Sina Weibo for Rumor Identification.
PAKDD (1)
Yahui Liu, Xiaolong Jin, Huawei Shen, Xueqi Cheng
2017 J jnl
EagleMine: Vision-Guided Mining in Large Graphs.
CoRR
Wenjie Feng, Shenghua Liu, Christos Faloutsos, Bryan Hooi, Huawei Shen, Xueqi Cheng
2017 B conf
Efficient parallel translating embedding for knowledge graphs.
WI
Denghui Zhang, Manling Li, Yantao Jia, Yuanzhuo Wang, Xueqi Cheng
2017 J jnl
Fast density clustering strategies based on the k-means algorithm.
Pattern Recognit.
Liang Bai, Xueqi Cheng, Jiye Liang, Huawei Shen, Yike Guo
2017 J jnl
Fast graph clustering with a new description model for community detection.
Inf. Sci.
Liang Bai, Xueqi Cheng, Jiye Liang, Yike Guo
2017 — conf
Gbot at the NTCIR-13 STC-2 Task.
NTCIR
Hainan Zhang, Tonglei Guo, Yanyan Lan, Jiafeng Guo, Jianing Li, Xueqi Cheng
2017 — conf
ICTNET at TREC 2017 Common Core Track.
TREC
Xu Chang, Liying Jiao, Jinlong Liu, Weijian Zhu, Yuanhai Xue, Li Zha, Yue Liu, Xueqi Cheng
2017 — conf
ICTNET at TREC 2017 Dynamic Domain Track.
TREC
Weimin Zhang, Yaokang Hu, Rongqian Jia, Xianfa Wang, Le Zhang, Yue Feng, Sihao Yu, Yuanhai Xue, Xiaoming Yu, Yue Liu, Xueqi Cheng
2017 — conf
ICTNET at TREC 2017 Real-Time Summarization Track.
TREC
Xiao Wang, Pengcheng Fan, Liang Cheng, Guoliang Xing, Zhihua Yu, Xueqi Cheng
2017 — conf
ICTNET at TREC2017 Complex Answer Retrieval Track.
TREC
Rui Cheng, Xiaomin Zhuang, Hao Yan, Yuanhai Xue, Zhihua Yu, Yue Liu, Xueqi Cheng
2017 — conf
ICTNET at TREC2017 OpenSearch Track.
TREC
Peng Xu, Long Bai, Suiyuan Zhang, Fang Yang, Zhibin Zhang, Xiaoming Yu, Xiaolong Jin, Xueqi Cheng
2017 A* conf
Learning Concise Representations of Users' Influences through Online Behaviors.
IJCAI
Shenghua Liu, Houdong Zheng, Huawei Shen, Xueqi Cheng, Xiangwen Liao
2017 A conf
Learning Visual Features from Snapshots for Web Search.
CIKM
Yixing Fan, Jiafeng Guo, Yanyan Lan, Jun Xu, Liang Pang, Xueqi Cheng
2017 J jnl
Learning Visual Features from Snapshots for Web Search.
CoRR
Yixing Fan, Jiafeng Guo, Yanyan Lan, Jun Xu, Liang Pang, Xueqi Cheng
2017 J jnl
Link Inference in Dynamic Heterogeneous Information Network: A Knapsack-Based Approach.
IEEE Trans. Comput. Soc. Syst.
Yantao Jia, Yuanzhuo Wang, Xiaolong Jin, Zeya Zhao, Xueqi Cheng
2017 C conf
Locally Smoothed Neural Networks.
ACML
Liang Pang, Yanyan Lan, Jun Xu, Jiafeng Guo, Xueqi Cheng
2017 J jnl
Locally Smoothed Neural Networks.
CoRR
Liang Pang, Yanyan Lan, Jun Xu, Jiafeng Guo, Xueqi Cheng
2017 — conf
Marked Temporal Dynamics Modeling Based on Recurrent Neural Network.
PAKDD (1)
Yongqing Wang, Shenghua Liu, Huawei Shen, Jinhua Gao, Xueqi Cheng
2017 J jnl
Marked Temporal Dynamics Modeling based on Recurrent Neural Network.
CoRR
Yongqing Wang, Shenghua Liu, Huawei Shen, Xueqi Cheng
2017 J jnl
MatchZoo: A Toolkit for Deep Text Matching.
CoRR
Yixing Fan, Liang Pang, Jianpeng Hou, Jiafeng Guo, Yanyan Lan, Xueqi Cheng
2017 J jnl
Modeling users' search sessions for high utility query recommendation.
Inf. Retr. J.
Jiafeng Guo, Xiaofei Zhu, Yanyan Lan, Xueqi Cheng
2017 J jnl
Modelling heterogeneous information spreading abilities of social network ties.
Simul. Model. Pract. Theory
Chengeng Ou, Xiaolong Jin, Yuanzhuo Wang, Xueqi Cheng
2017 — conf
Neural or Statistical: An Empirical Study on Language Models for Chinese Input Recommendation on Mobile.
CCIR
Hainan Zhang, Yanyan Lan, Jiafeng Guo, Jun Xu, Xueqi Cheng
2017 — conf
Predicting the Popularity of Online Content with Group-specific Models.
WWW (Companion Volume)
Qi Cao, Huawei Shen, Hao Gao, Jinhua Gao, Xueqi Cheng
2017 A* conf
Reinforcement Learning to Rank with Markov Decision Process.
SIGIR
Zheng Wei, Jun Xu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng
2017 — conf
Relation Classification via Target-Concentrated Attention CNNs.
ICONIP (2)
Jizhao Zhu, Jianzhong Qiao, Xinxiao Dai, Xueqi Cheng
2017 J jnl
Relative influence maximization in competitive social networks.
Sci. China Inf. Sci.
Dingda Yang, Xiangwen Liao, Huawei Shen, Xueqi Cheng, Guolong Chen
2017 — conf
Self-Learning and Embedding Based Entity Alignment.
ICBK
Saiping Guan, Xiaolong Jin, Yantao Jia, Yuanzhuo Wang, Huawei Shen, Xueqi Cheng
2017 — ed.
Social Media Processing - 6th National Conference, SMP 2017, Beijing, China, September 14-17, 2017, Proceedings
SMP
Xueqi Cheng, Wei-Ying Ma, Huan Liu, Huawei Shen, Shizheng Feng, Xing Xie
2017 J jnl
Spherical Paragraph Model.
CoRR
Ruqing Zhang, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng
2017 A conf
Truth Discovery by Claim and Source Embedding.
CIKM
Shanshan Lyu, Wentao Ouyang, Huawei Shen, Xueqi Cheng
2017 J jnl
开放知识库构建技术的多维量化评价方法 (Multi-dimensional Quantitative Evaluation Method of Open Knowledge Base Construction Technology).
计算机科学
Xinlei Chen, Yantao Jia, Yuanzhuo Wang, Xiaolong Jin, Xueqi Cheng
2016 A* conf
A Deep Architecture for Semantic Matching with Multiple Positional Sentence Representations.
AAAI
Shengxian Wan, Yanyan Lan, Jiafeng Guo, Jun Xu, Liang Pang, Xueqi Cheng
2016 J jnl
A Study of MatchPyramid Models on Ad-hoc Retrieval.
CoRR
Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Xueqi Cheng
2016 J jnl
An Optimization Model for Clustering Categorical Data Streams with Drifting Concepts.
IEEE Trans. Knowl. Data Eng.
Liang Bai, Xueqi Cheng, Jiye Liang, Huawei Shen
2016 J jnl
An Unsupervised Cross-Lingual Topic Model Framework for Sentiment Classification.
IEEE ACM Trans. Audio Speech Lang. Process.
Zheng Lin, Xiaolong Jin, Xueke Xu, Yuanzhuo Wang, Xueqi Cheng, Weiping Wang, Dan Meng
2016 — conf
An ensemble method for job recommender systems.
RecSys Challenge
Chenrui Zhang, Xueqi Cheng
2016 — conf
Aspect-Specific Sentimental Word Embedding for Sentiment Analysis of Online Reviews.
WWW (Companion Volume)
Hui Du, Xueke Xu, Xueqi Cheng, Dayong Wu, Yue Liu, Zhihua Yu
2016 A conf
Ease the Process of Machine Learning with Dataflow.
CIKM
Tianyou Guo, Jun Xu, Xiaohui Yan, Jianpeng Hou, Ping Li, Zhaohui Li, Jiafeng Guo, Xueqi Cheng
2016 — conf
Factorizing Sequential and Historical Purchase Data for Basket Recommendation.
AIRS
Pengfei Wang, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng
2016 — conf
Hierarchy-Based Link Prediction in Knowledge Graphs.
WWW (Companion Volume)
Manling Li, Yantao Jia, Yuanzhuo Wang, Jingyuan Li, Xueqi Cheng
2016 A* conf
Inside Out: Two Jointly Predictive Models for Word Representations and Phrase Representations.
AAAI
Fei Sun, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng
2016 — conf
Learning Cost-Effective Social Embedding for Cascade Prediction.
SMP
Wei Liu, Huawei Shen, Wentao Ouyang, Ge Fu, Li Zha, Xueqi Cheng
2016 J jnl
Learning Sentimental Influences from Users' Behaviors.
CoRR
Shenghua Liu, Houdong Zheng, Huawei Shen, Xiangwen Liao, Xueqi Cheng
2016 A* conf
Locally Adaptive Translation for Knowledge Graph Embedding.
AAAI
Yantao Jia, Yuanzhuo Wang, Hailun Lin, Xiaolong Jin, Xueqi Cheng
2016 J jnl
Location Prediction: A Temporal-Spatial Bayesian Model.
ACM Trans. Intell. Syst. Technol.
Yantao Jia, Yuanzhuo Wang, Xiaolong Jin, Xueqi Cheng
2016 A* conf
Match-SRNN: Modeling the Recursive Matching Structure with Spatial RNN.
IJCAI
Shengxian Wan, Yanyan Lan, Jun Xu, Jiafeng Guo, Liang Pang, Xueqi Cheng
2016 J jnl
Match-SRNN: Modeling the Recursive Matching Structure with Spatial RNN.
CoRR
Shengxian Wan, Yanyan Lan, Jun Xu, Jiafeng Guo, Liang Pang, Xueqi Cheng
2016 A* conf
Modeling Document Novelty with Neural Tensor Network for Search Result Diversification.
SIGIR
Long Xia, Jun Xu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng
2016 — conf
Modeling and Predicting Retweeting Dynamics via a Mixture Process.
WWW (Companion Volume)
Jinhua Gao, Huawei Shen, Shenghua Liu, Xueqi Cheng
2016 A conf
Multi-task Representation Learning for Demographic Prediction.
ECIR
Pengfei Wang, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng
2016 — conf
OpenKN at TAC KBP 2016.
TAC
Manling Li, Xinlei Chen, Yantao Jia, Yuanzhuo Wang, Xiaolong Jin, Zixuan Li, Juan Yao, Fan Yang, Yunqi Qiu, Jialin Su, Xueqi Cheng
2016 A* conf
Predict Anchor Links across Social Networks via an Embedding Approach.
IJCAI
Tong Man, Huawei Shen, Shenghua Liu, Xiaolong Jin, Xueqi Cheng
2016 A* conf
Predicting Links and Their Building Time: A Path-Based Approach.
AAAI
Manling Li, Yantao Jia, Yuanzhuo Wang, Zeya Zhao, Xueqi Cheng
2016 A* conf
SPAN: Understanding a Question with Its Support Answers.
AAAI
Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Xueqi Cheng
2016 J jnl
Scientific credit diffusion: Researcher level or paper level?
Scientometrics
Hao Wang, Huawei Shen, Xueqi Cheng
2016 J jnl
Semantic Regularities in Document Representations.
CoRR
Fei Sun, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng
2016 A* conf
Sparse Word Embeddings Using ℓ
IJCAI
Fei Sun, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng
2016 A* conf
Text Matching as Image Recognition.
AAAI
Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Shengxian Wan, Xueqi Cheng
2016 J jnl
Text Matching as Image Recognition.
CoRR
Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Shengxian Wan, Xueqi Cheng
2016 — conf
The Competition of User Attentions Among Social Network Services: A Social Evolutionary Game Approach.
APWeb (1)
Jingyuan Li, Yuanzhuo Wang, Yuan Lu, Xueqi Cheng, Yan Ren
2016 A conf
Your Cart tells You: Inferring Demographic Attributes from Purchase Data.
WSDM
Pengfei Wang, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng
2015 J jnl
A Deep Architecture for Semantic Matching with Multiple Positional Sentence Representations.
CoRR
Shengxian Wan, Yanyan Lan, Jiafeng Guo, Jun Xu, Liang Pang, Xueqi Cheng
2015 A* conf
A Probabilistic Model for Bursty Topic Discovery in Microblogs.
AAAI
Xiaohui Yan, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng
2015 C conf
An Ensemble Matchers Based Rank Aggregation Method for Taxonomy Matching.
APWeb
Hailun Lin, Yuanzhuo Wang, Yantao Jia, Jinhua Xiong, Peng Zhang, Xueqi Cheng
2015 — conf
Automatic Detection of Rumor on Social Network.
NLPCC
Qiao Zhang, Shuiyuan Zhang, Jian Dong, Jinhua Xiong, Xueqi Cheng
2015 A conf
Context-Adaptive Matrix Factorization for Multi-Context Recommendation.
CIKM
Tong Man, Huawei Shen, Junming Huang, Xueqi Cheng
2015 — conf
HANSpeller++: A Unified Framework for Chinese Spelling Correction.
SIGHAN@IJCNLP
Shuiyuan Zhang, Jinhua Xiong, Jianpeng Hou, Qiao Zhang, Xueqi Cheng
2015 J jnl
HANSpeller: A Unified Framework for Chinese Spelling Correction.
Int. J. Comput. Linguistics Chin. Lang. Process.
Jinhua Xiong, Qiao Zhang, Shuiyuan Zhang, Jianpeng Hou, Xueqi Cheng
2015 — conf
Improve Network Clustering via Diversified Ranking.
CSoNet
Bing-Jie Sun, Huawei Shen, Xueqi Cheng
2015 A* conf
Learning Hierarchical Representation Model for NextBasket Recommendation.
SIGIR
Pengfei Wang, Jiafeng Guo, Yanyan Lan, Jun Xu, Shengxian Wan, Xueqi Cheng
2015 A* conf
Learning Maximal Marginal Relevance Model via Directly Optimizing Diversity Evaluation Measures.
SIGIR
Long Xia, Jun Xu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng
2015 A* conf
Learning User-Specific Latent Influence and Susceptibility from Information Cascades.
AAAI
Yongqing Wang, Huawei Shen, Shenghua Liu, Xueqi Cheng
2015 — conf
Learning Word Representations by Jointly Modeling Syntagmatic and Paradigmatic Relations.
ACL (1)
Fei Sun, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng
2015 J jnl
Learning to Predict Links by Integrating Structure and Interaction Information in Microblogs.
J. Comput. Sci. Technol.
Yantao Jia, Yuanzhuo Wang, Xueqi Cheng
2015 A conf
Listwise Approach for Rank Aggregation in Crowdsourcing.
WSDM
Shuzi Niu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng, Lei Yu, Guoping Long
2015 J jnl
Locally Adaptive Translation for Knowledge Graph Embedding.
CoRR
Yantao Jia, Yuanzhuo Wang, Hailun Lin, Xiaolong Jin, Xueqi Cheng
2015 A conf
Modeling Parameter Interactions in Ranking SVM.
CIKM
Yaogong Zhang, Jun Xu, Yanyan Lan, Jiafeng Guo, Maoqiang Xie, Yalou Huang, Xueqi Cheng
2015 — conf
Modeling and Predicting Popularity Dynamics of Microblogs using Self-Excited Hawkes Processes.
WWW (Companion Volume)
Peng Bao, Huawei Shen, Xiaolong Jin, Xueqi Cheng
2015 J jnl
Modeling and Predicting Popularity Dynamics of Microblogs using Self-Excited Hawkes Processes.
CoRR
Peng Bao, Huawei Shen, Xiaolong Jin, Xueqi Cheng
2015 — conf
Next Basket Recommendation with Neural Networks.
RecSys Posters
Shengxian Wan, Yanyan Lan, Pengfei Wang, Jiafeng Guo, Jun Xu, Xueqi Cheng
2015 — conf
OpenKN at TAC KBP 2015.
TAC
Xinlei Chen, Yantao Jia, Yuanzhuo Wang, Yuxiao Chang, Manling Li, Xueqi Cheng
2015 J jnl
Privacy Petri Net and Privacy Leak Software.
J. Comput. Sci. Technol.
Lejun Fan, Yuanzhuo Wang, Jingyuan Li, Xueqi Cheng, Chuang Lin
2015 J jnl
Privacy theft malware multi-process collaboration analysis.
Secur. Commun. Networks
Lejun Fan, Yuanzhuo Wang, Xueqi Cheng, Jinming Li, Shuyuan Jin
2015 A ed.
Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, WSDM 2015, Shanghai, China, February 2-6, 2015
WSDM
Xueqi Cheng, Hang Li, Evgeniy Gabrilovich, Jie Tang
2015 J jnl
Significance and Challenges of Big Data Research.
Big Data Res.
Xiaolong Jin, Benjamin W. Wah, Xueqi Cheng, Yuanzhuo Wang
2015 J jnl
Special issue on recent advances in network and information security - security and communication networks journal.
Secur. Commun. Networks
Xueqi Cheng, Jinhong Yuan, Ali Tajer, Aiqun Hu, Wanlei Zhou
2015 J jnl
Structural Learning of Diverse Ranking.
CoRR
Yadong Zhu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng
2015 J jnl
TASC: Topic-Adaptive Sentiment Classification on Dynamic Tweets.
IEEE Trans. Knowl. Data Eng.
Shenghua Liu, Xueqi Cheng, Fuxin Li, Fangtao Li
2015 — conf
The Impact of Heterogeneous Spreading Abilities of Network Ties on Information Spreading.
CIT/IUCC/DASC/PICom
Chengeng Ou, Xiaolong Jin, Yuanzhuo Wang, Wei Chen, Xueqi Cheng
2015 J jnl
Topic-focused Dynamic Information Filtering in Social Media.
CoRR
Yadong Zhu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng
2015 J jnl
Which noise affects algorithm robustness for learning to rank.
Inf. Retr. J.
Shuzi Niu, Yanyan Lan, Jiafeng Guo, Shengxian Wan, Xueqi Cheng
2014 A conf
A Cross-Lingual Joint Aspect/Sentiment Model for Sentiment Analysis.
CIKM
Zheng Lin, Xiaolong Jin, Xueke Xu, Weiping Wang, Xueqi Cheng, Yuanzhuo Wang
2014 J jnl
BTM: Topic Modeling over Short Texts.
IEEE Trans. Knowl. Data Eng.
Xueqi Cheng, Xiaohui Yan, Yanyan Lan, Jiafeng Guo
2014 — conf
Evolutionary analysis on online social networks using a social evolutionary game.
WWW (Companion Volume)
Jianye Yu, Yuanzhuo Wang, Xiaolong Jin, Jingyuan Li, Xueqi Cheng
2014 — conf
Extended HMM and Ranking Models for Chinese Spelling Correction.
CIPS-SIGHAN
Jinhua Xiong, Qiao Zhang, Jianpeng Hou, Qianbo Wang, Yuanzhuo Wang, Xueqi Cheng
2014 — conf
Extracting Attributes and Synonymous Attributes from Online Encyclopedias.
WI-IAT (2)
Qian Liu, Dayong Wu, Yue Liu, Xueqi Cheng
2014 — conf
ICTNET at Context Suggestion Track TREC 2014.
TREC
Zihao Lu, Zhijie Qiu, Liang Chang, Bingyang Liu, Dayong Wu, Yue Liu, Xueqi Cheng
2014 — conf
ICTNET at Federated Web Search Track 2014.
TREC
Feng Guan, Shuiyuan Zhang, Chunmei Liu, Xiaoming Yu, Yue Liu, Xueqi Cheng
2014 — conf
ICTNET at Microblog Track in TREC 2014.
TREC
Guoxin Cui, Fabin Shi, Xiaolei Liu, Xiaobo Hao, Xueke Xu, Yue Liu, Xueqi Cheng
2014 — conf
ICTNET at Session Track TREC2014.
TREC
Yuanhai Xue, Guoxin Cui, Xiaoming Yu, Yue Liu, Xueqi Cheng
2014 — conf
ICTNET at Temporal Summarization Track TREC 2014.
TREC
Lei Chen, Hainan Zhang, Siying Li, Zhiyuan Ji, Qian Liu, Yue Liu, Dayong Wu, Xueqi Cheng
2014 — conf
ICTNET at Web Track TREC2014.
TREC
Yuanhai Xue, Xiaoming Yu, Feng Guan, Xi-Peng Li, Man Du, Yue Liu, Xueqi Cheng
2014 J jnl
IMRank: Influence Maximization via Finding Self-Consistent Ranking.
CoRR
Suqi Cheng, Huawei Shen, Junming Huang, Wei Chen, Xueqi Cheng
2014 A* conf
IMRank: influence maximization via finding self-consistent ranking.
SIGIR
Suqi Cheng, Huawei Shen, Junming Huang, Wei Chen, Xueqi Cheng
2014 — conf
Identifying Interaction Groups in Social Network Using a Game-Theoretic Approach.
WI-IAT (1)
Jianye Yu, Yuanzhuo Wang, Xiaolong Jin, Xueqi Cheng
2014 A* conf
Learning for search result diversification.
SIGIR
Yadong Zhu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng, Shuzi Niu
2014 A conf
Local Linear Matrix Factorization for Document Modeling.
ECIR
Lu Bai, Jiafeng Guo, Yanyan Lan, Xueqi Cheng
2014 — conf
Make It Possible: Multilingual Sentiment Analysis without Much Prior Knowledge.
WI-IAT (1)
Zheng Lin, Xiaolong Jin, Xueke Xu, Yuanzhuo Wang, Songbo Tan, Xueqi Cheng
2014 — conf
Name Disambiguation by Collective Classification.
AIRS
Zhongxiang Chen, Jiafeng Guo, Yanyan Lan, Lei Cao, Xueqi Cheng
2014 B conf
OpenKN: An open knowledge computational engine for network big data.
ASONAM
Yantao Jia, Yuanzhuo Wang, Xueqi Cheng, Xiaolong Jin, Jiafeng Guo
2014 J jnl
PACOM: Parasitic anonymous communication in the BitTorrent network.
Comput. Networks
Jianming Lv, Tieying Zhang, Zhenhua Li, Xueqi Cheng
2014 B conf
Populating knowledge base with collective entity mentions: A graph-based approach.
ASONAM
Hailun Lin, Yantao Jia, Yuanzhuo Wang, Xiaolong Jin, Xiaojing Li, Xueqi Cheng
2014 A conf
Position-Aware ListMLE: A Sequential Learning Process for Ranking.
UAI
Yanyan Lan, Yadong Zhu, Jiafeng Guo, Shuzi Niu, Xueqi Cheng
2014 J jnl
Prediction of "Forwarding Whom" Behavior in Information Diffusion.
CoRR
Peng Bao, Huawei Shen, Xueqi Cheng
2014 A* conf
Ranking Tweets by Labeled and Collaboratively Selected Pairs with Transitive Closure.
AAAI
Shenghua Liu, Xueqi Cheng, Fangtao Li
2014 — conf
Ranking Tweets with Local and Global Consistency Using Rich Features.
PAKDD (1)
Zhankun Huang, Shenghua Liu, Pan Du, Xueqi Cheng
2014 — conf
Social evolutionary games.
GAMENETS
Jianye Yu, Yuanzhuo Wang, Xiaolong Jin, Xueqi Cheng
2014 — conf
TSBM: The Temporal-Spatial Bayesian Model for Location Prediction in Social Networks.
WI-IAT (1)
Yantao Jia, Yuanzhuo Wang, Xiaolong Jin, Xueqi Cheng
2014 A* conf
What makes data robust: a data analysis in learning to rank.
SIGIR
Shuzi Niu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng, Xiubo Geng
2013 — conf
A Blending Method for Automated Social Tagging.
Web Intelligence
Shenghua Liu, Ya-Tao Zhu, Jiafeng Guo, Yuanzhuo Wang, Xueqi Cheng
2013 A* conf
A Novel Relational Learning-to-Rank Approach for Topic-Focused Multi-document Summarization.
ICDM
Yadong Zhu, Yanyan Lan, Jiafeng Guo, Pan Du, Xueqi Cheng
2013 J jnl
A Routing Protocol based on Temporal-awareness Ordered-MPR for Dynamic Wireless Multi-hop Mobile Networks.
J. Networks
Li Wang, Yanyan Pei, Biao Lian, Weili Wu, Xueqi Cheng
2013 B conf
A Self-learning Template Approach for Recognizing Named Entities from Web Text.
IJCNLP
Qian Liu, Bingyang Liu, Dayong Wu, Yue Liu, Xueqi Cheng
2013 A* conf
A biterm topic model for short texts.
WWW
Xiaohui Yan, Jiafeng Guo, Yanyan Lan, Xueqi Cheng
2013 A conf
Adaptive co-training SVM for sentiment classification on tweets.
CIKM
Shenghua Liu, Fuxin Li, Fangtao Li, Xueqi Cheng, Huawei Shen
2013 — conf
Co-training and visualizing sentiment evolvement for tweet events.
WWW (Companion Volume)
Shenghua Liu, Wenjun Zhu, Ning Xu, Fangtao Li, Xueqi Cheng, Yue Liu, Yuanzhuo Wang
2013 A* conf
Collaborative factorization for recommender systems.
SIGIR
Chaosheng Fan, Yanyan Lan, Jiafeng Guo, Zuoquan Lin, Xueqi Cheng
2013 J jnl
Cumulative Effect in Information Diffusion: A Comprehensive Empirical Study on Microblogging Network.
CoRR
Peng Bao, Huawei Shen, Wei Chen, Xueqi Cheng
2013 A conf
Group sparse topical coding: from code to topic.
WSDM
Lu Bai, Jiafeng Guo, Yanyan Lan, Xueqi Cheng
2013 — conf
ICTNET at Context Suggestion Track TREC 2013.
TREC
Bingyang Liu, Yanqin Zhong, Yue Liu, Dayong Wu, Xueqi Cheng
2013 — conf
ICTNET at Federated Web Search Track 2013.
TREC
Feng Guan, Yuanhai Xue, Xiaoming Yu, Yue Liu, Xueqi Cheng
2013 — conf
ICTNET at Microblog Track in TREC 2013.
TREC
Jinhua Gao, Guoxin Cui, Shenghua Liu, Yue Liu, Xueqi Cheng
2013 — conf
ICTNET at Session Track TREC 2013.
TREC
Zhenhong Chen, Long Xia, Xiaoming Yu, Yue Liu, Xueqi Cheng
2013 — conf
ICTNET at Temporal Summarization Track TREC 2013.
TREC
Qian Liu, Yue Liu, Dayong Wu, Xueqi Cheng
2013 — conf
ICTNET at Web Track 2013.
TREC
Yuanhai Xue, Feng Guan, Xiaoming Yu, Yue Liu, Xueqi Cheng
2013 A* conf
Informational friend recommendation in social media.
SIGIR
Shengxian Wan, Yanyan Lan, Jiafeng Guo, Chaosheng Fan, Xueqi Cheng
2013 A conf
Is top-k sufficient for ranking?
CIKM
Yanyan Lan, Shuzi Niu, Jiafeng Guo, Xueqi Cheng
2013 A conf
Learning Topics in Short Texts by Non-negative Matrix Factorization on Term Correlation Matrix.
SDM
Xueqi Cheng, Jiafeng Guo, Shenghua Liu, Yanfeng Wang, Xiaohui Yan
2013 J jnl
Learning influence and susceptibility from information cascade.
CoRR
Yongqing Wang, Huawei Shen, Xueqi Cheng
2013 J jnl
Modeling and security analysis of enterprise network using attack-defense stochastic game Petri nets.
Secur. Commun. Networks
Yuanzhuo Wang, Jingyuan Li, Kun Meng, Chuang Lin, Xueqi Cheng
2013 J jnl
Modelling priority queuing systems with varying service capacity.
Frontiers Comput. Sci.
Mei Chen, Xiaolong Jin, Yuanzhuo Wang, Xueqi Cheng, Geyong Min
2013 J jnl
Popularity Prediction in Microblogging Network: A Case Study on Sina Weibo
CoRR
Peng Bao, Huawei Shen, Junming Huang, Xueqi Cheng
2013 — conf
Popularity prediction in microblogging network: a case study on sina weibo.
WWW (Companion Volume)
Peng Bao, Huawei Shen, Junming Huang, Xueqi Cheng
2013 J jnl
Ranking on Data Manifold with Sink Points.
IEEE Trans. Knowl. Data Eng.
Xueqi Cheng, Pan Du, Jiafeng Guo, Xiaofei Zhu, Yixin Chen
2013 A conf
Recommending High Utility Query via Session-Flow Graph.
ECIR
Xiaofei Zhu, Jiafeng Guo, Xueqi Cheng, Yanyan Lan, Wolfgang Nejdl
2013 A conf
StaticGreedy: solving the scalability-accuracy dilemma in influence maximization.
CIKM
Suqi Cheng, Huawei Shen, Junming Huang, Guoqing Zhang, Xueqi Cheng
2013 A conf
Stochastic Rank Aggregation.
UAI
Shuzi Niu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng
2013 J jnl
Stochastic Rank Aggregation.
CoRR
Shuzi Niu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng
2013 — conf
Structural-interaction link prediction in microblogs.
WWW (Companion Volume)
Yantao Jia, Yuanzhuo Wang, Jingyuan Li, Kai Feng, Xueqi Cheng, Jianchen Li
2013 J jnl
Temporal scaling in information propagations.
CoRR
Junming Huang, Chao Li, Wen-Qiang Wang, Huawei Shen, Xueqi Cheng
2012 J jnl
A Dimensionality Reduction Framework for Detection of Multiscale Structure in Heterogeneous Networks.
J. Comput. Sci. Technol.
Huawei Shen, Xueqi Cheng, Yuanzhuo Wang, Yixin Chen
2012 — conf
A Fast and Accurate Method for Bilingual Opinion Lexicon Extraction.
Web Intelligence
Zheng Lin, Songbo Tan, Xueqi Cheng
2012 A conf
A new probabilistic model for top-k ranking problem.
CIKM
Shuzi Niu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng
2012 J jnl
A noise-tolerant graphical model for ranking.
Inf. Process. Manag.
Xiubo Geng, Tao Qin, Tie-Yan Liu, Xueqi Cheng
2012 — conf
Analysis of Competitive Information Dissemination in Social Network Based on Evolutionary Game Model.
CGC
Jianye Yu, Yuanzhuo Wang, Jingyuan Li, Huawei Shen, Xueqi Cheng
2012 C conf
Analyzing application private information leaks with privacy Petri Net.
ISCC
Lejun Fan, Yuanzhuo Wang, Xueqi Cheng, Jinming Li
2012 A conf
Clustering short text using Ncut-weighted non-negative matrix factorization.
CIKM
Xiaohui Yan, Jiafeng Guo, Shenghua Liu, Xueqi Cheng, Yanfeng Wang
2012 J jnl
Conquering the rating bound problem in neighborhood-based collaborative filtering: a function recovery approach
CoRR
Junming Huang, Xueqi Cheng, Huawei Shen, Xiaoming Sun, Tao Zhou, Xiaolong Jin
2012 A conf
Effective and efficient?: bilingual sentiment lexicon extraction using collocation alignment.
CIKM
Zheng Lin, Songbo Tan, Xueqi Cheng, Xueke Xu, Weisong Shi
2012 — conf
Exploring and Exploiting Proximity Statistic for Information Retrieval Model.
AIRS
Yadong Zhu, Yuanhai Xue, Jiafeng Guo, Yanyan Lan, Xueqi Cheng, Xiaoming Yu
2012 A conf
Exploring social influence via posterior effect of word-of-mouth recommendations.
WSDM
Junming Huang, Xueqi Cheng, Huawei Shen, Tao Zhou, Xiaolong Jin
2012 A conf
Find me opinion sources in blogosphere: a unified framework for opinionated blog feed retrieval.
WSDM
Xueke Xu, Songbo Tan, Yue Liu, Xueqi Cheng, Zheng Lin, Jiafeng Guo
2012 — conf
Finding Topic-Related Tweets Using Conversational Thread.
IIP
Peng Cao, Shenghua Liu, Jinhua Gao, Huawei Shen, Jingyuan Li, Yue Liu, Xueqi Cheng
2012 — conf
ICTNET at Context Suggestion Track TREC 2012.
TREC
Bingyang Liu, Tong Wu, Xianghui Lin, Yanqin Zhong, Qian Liu, Yue Liu, Xueqi Cheng
2012 — conf
ICTNET at Microblog Track TREC 2012.
TREC
Bolong Zhu, Jinghua Gao, Xiao Han, Cunhui Shi, Shenghua Liu, Yue Liu, Xueqi Cheng
2012 — conf
ICTNET at Session Track TREC 2012.
TREC
Zhenhong Chen, Mingchuan Wei, Junxiao Nan, Jun Chen, Xiaoming Yu, Yue Liu, Xueqi Cheng
2012 — conf
ICTNET at Web Track 2012 Diversity Task.
TREC
ZiLong Feng, Yuanhai Xue, Xiaoming Yu, Hongbo Xu, Yue Liu, Xueqi Cheng
2012 — conf
ICTNET at Web Track 2012 adhoc Task.
TREC
Heyuan Li, Yuanhai Xue, Shaohua Guo, Feng Guan, Xiaoming Yu, Yue Liu, Xueqi Cheng
2012 J jnl
Mobile social networks: state-of-the-art and a new vision.
Int. J. Commun. Syst.
Kun Yang, Xueqi Cheng, Liang Hu, Jianming Zhang
2012 A conf
More than relevance: high utility query recommendation by mining users' search behaviors.
CIKM
Xiaofei Zhu, Jiafeng Guo, Xueqi Cheng, Yanyan Lan
2012 C conf
Privacy Theft Malware Detection with Privacy Petri Net.
PDCAT
Lejun Fan, Yuanzhuo Wang, Xueqi Cheng, Shuyuan Jin
2012 J jnl
Providing hierarchical lookup service for P2P-VoD systems.
ACM Trans. Multim. Comput. Commun. Appl.
Tieying Zhang, Xueqi Cheng, Jianming Lv, Zhenhua Li, Weisong Shi
2012 J jnl
Special Issue on: Interdisciplinary and cross-layer design of mobile social networks and wireless networks.
Int. J. Commun. Syst.
Kun Yang, Xueqi Cheng, Giovanni Pau
2012 J jnl
Static greedy: solving the apparent scalability-accuracy dilemma in influence maximization
CoRR
Suqi Cheng, Huawei Shen, Junming Huang, Guoqing Zhang, Xueqi Cheng
2012 — conf
Statistical Consistency of Ranking Methods in A Rank-Differentiable Probability Space.
NIPS
Yanyan Lan, Jiafeng Guo, Xueqi Cheng, Tie-Yan Liu
2012 J jnl
Stochastic game net and applications in security analysis for enterprise network.
Int. J. Inf. Sec.
Yuanzhuo Wang, Min Yu, Jingyuan Li, Kun Meng, Chuang Lin, Xueqi Cheng
2012 — conf
The Untold Story Behind the Recommendation in Micro-blogging Network.
CGC
Tong Man, Huawei Shen, Xueqi Cheng
2012 A* conf
Top-k learning to rank: labeling, ranking and evaluation.
SIGIR
Shuzi Niu, Jiafeng Guo, Yanyan Lan, Xueqi Cheng
2012 A conf
Towards jointly extracting aspects and aspect-specific sentiment knowledge.
CIKM
Xueke Xu, Songbo Tan, Yue Liu, Xueqi Cheng, Zheng Lin
2012 — conf
Using WordNet-Based Neighborhood for Improving Social Tag Recommendation.
ICIC (2)
Ya-Tao Zhu, Shenghua Liu, Xueqi Cheng, Yue Liu, Yuanzhuo Wang, Jin-Gang Liu
2011 B conf
A White-Box Empirical Study of P2P-VoD Systems: Several Unconventional New Findings.
ICCCN
Tieying Zhang, Zhenhua Li, Huawei Shen, Yan Huang, Xueqi Cheng
2011 — conf
A probabilistic model for opinionated blog feed retrieval.
WWW (Companion Volume)
Xueke Xu, Tao Meng, Xueqi Cheng, Yue Liu
2011 A* conf
A unified framework for recommending diverse and relevant queries.
WWW
Xiaofei Zhu, Jiafeng Guo, Xueqi Cheng, Pan Du, Huawei Shen
2011 Misc conf
Aspect-based extractive summarization of online reviews.
SAC
Xueke Xu, Tao Meng, Xueqi Cheng
2011 — conf
Bipartite Graph Based Entity Ranking for Related Entity Finding.
Web Intelligence
Lei Cao, Jiafeng Guo, Xueqi Cheng
2011 A conf
Context-aware query recommendation by learning high-order relation in query logs.
CIKM
Xiaohui Yan, Jiafeng Guo, Xueqi Cheng
2011 — conf
Decayed DivRank for Guided Summarization.
TAC
Pan Du, Jipeng Yuan, Xianghui Lin, Jin Zhang, Jiafeng Guo, Xueqi Cheng
2011 A* conf
Decayed DivRank: capturing relevance, diversity and prestige in information networks.
SIGIR
Pan Du, Jiafeng Guo, Xueqi Cheng
2011 J jnl
Exploring the structural regularities in networks
CoRR
Huawei Shen, Xueqi Cheng, Jiafeng Guo
2011 — conf
ICTNET at Entity ELC TREC 2011.
TREC
Bingyang Liu, Fan Yang, Lei Cao, Xueqi Cheng, Yue Liu, Hongbo Xu
2011 — conf
ICTNET at Microblog Track TREC 2011.
TREC
Peng Cao, Jinhua Gao, Yubao Yu, Shenghua Liu, Yue Liu, Xueqi Cheng
2011 — conf
ICTNET at Session Track TREC 2011.
TREC
Mingxhuan Wei, Yuanhai Xue, Chen Xu, Xiaoming Yu, Yue Liu, Xueqi Cheng
2011 — conf
ICTNET at Web Track 2011 Ad-Hoc Track.
TREC
Heyuan Li, Yuanhai Xue, Xu Chen, Xiaoming Yu, Feng Guan, Yue Liu, Xueqi Cheng
2011 — conf
ICTNET at Web Track 2011 Diversity Track.
TREC
Shengxian Wan, Yuanhai Xue, Xiaoming Yu, Feng Guan, Yue Liu, Xueqi Cheng
2011 A conf
Intent-aware query similarity.
CIKM
Jiafeng Guo, Xueqi Cheng, Gu Xu, Xiaofei Zhu
2011 A conf
Language-independent sentiment classification using three common words.
CIKM
Zheng Lin, Songbo Tan, Xueqi Cheng
2011 J jnl
Learning multiple metrics for ranking.
Frontiers Comput. Sci. China
Xiubo Geng, Xueqi Cheng
2011 C conf
Modeling and Analysis of Email Worm Propagation Based on Stochastic Game Nets.
PDCAT
Min Yu, Yuanzhuo Wang, Li Liu, Xueqi Cheng
2011 J jnl
Modeling the clustering in citation networks
CoRR
Fuxin Ren, Xueqi Cheng, Huawei Shen
2011 A* conf
Multi-Select Faceted Navigation Based on Minimum Description Length Principle.
IJCAI
Chao He, Xueqi Cheng, Jiafeng Guo, Huawei Shen
2011 C conf
Prevent DNS Cache Poisoning Using Security Proxy.
PDCAT
Lejun Fan, Yuanzhuo Wang, Xueqi Cheng, Jinming Li
2011 — conf
Query Recommendation by Modelling the Query-Flow Graph.
AIRS
Lu Bai, Jiafeng Guo, Xueqi Cheng
2011 J jnl
Selecting optimal training data for learning to rank.
Inf. Process. Manag.
Xiubo Geng, Tao Qin, Tie-Yan Liu, Xueqi Cheng, Hang Li
2011 C conf
Social Network Analysis on KAD and Its Application.
APWeb
Xiangtao Liu, Yang Li, Zhezhong Li, Xueqi Cheng
2011 A* conf
Supervised Lazy Random Walk for Topic-Focused Multi-document Summarization.
ICDM
Pan Du, Jiafeng Guo, Xueqi Cheng
2011 C conf
Trojan characteristics analysis based on Stochastic Petri Nets.
ISI
He Gao, Yuanzhuo Wang, Li Wang, Li Liu, Jinming Li, Xueqi Cheng
2011 — conf
Using Key Sentence to Improve Sentiment Classification.
AIRS
Zheng Lin, Songbo Tan, Xueqi Cheng
2010 B conf
A QoS-Aware Dynamic Bandwidth Allocation Algorithm for Base Stations in IEEE 802.16j-Based Vehicular Networks.
GLOBECOM
Ridong Fei, Kun Yang, Shumao Ou, Xueqi Cheng
2010 — conf
A Two-Stage Algorithm for Domain Adaptation with Application to Sentiment Transfer Problems.
AIRS
Qiong Wu, Songbo Tan, Miyi Duan, Xueqi Cheng
2010 A conf
A structured approach to query recommendation with social annotation data.
CIKM
Jiafeng Guo, Xueqi Cheng, Gu Xu, Huawei Shen
2010 A conf
Adapting information bottleneck method for automatic construction of domain-oriented sentiment lexicon.
WSDM
Weifu Du, Songbo Tan, Xueqi Cheng, Xiao-chun Yun
2010 J jnl
Binary almost-perfect sequence sets.
IEEE Trans. Inf. Theory
Kai Cai, Guobiao Weng, Xueqi Cheng
2010 J jnl
Call for Papers: '
Int. J. Commun. Syst.
Kun Yang, Xueqi Cheng, Giovanni Pau
2010 C conf
Detect Events on Noisy Textual Datasets.
APWeb
Sen Yang, Xueqi Cheng, You Chen, Gaolin Fang, Jin Zhang, Hongbo Xu
2010 — —
Exploring Hybrid Dynamic and Static Techniques for Software Verification.
Xueqi Cheng
2010 — conf
ICTNET at Blog Track TREC 2010.
TREC
Xueke Xu, Yue Liu, Hongbo Xu, Xiaoming Yu, Zeying Peng, Xueqi Cheng, Lihao Xiao, Shuaishuai Nie
2010 — conf
ICTNET at Entity Track TREC 2010.
TREC
Lei Cao, Lu Bai, Xueqi Cheng, Jiafeng Guo, Hongbo Xu, Yue Liu, Xiaoming Yu
2010 — conf
ICTNET at Web Track 2010 Ad-hoc Task.
TREC
Xu Chen, Zeying Peng, Jianguo Wang, Xiaoming Yu, Yue Liu, Hongbo Xu, Xueqi Cheng
2010 — conf
ICTNET at Web Track 2010 Diversity Task.
TREC
Yuanhai Xue, Zeying Peng, Xiaoming Yu, Yue Liu, Hongbo Xu, Xueqi Cheng
2010 — conf
ICTNET at Web Track 2010 Spam Task.
TREC
Liang Zhu, Bolong Zhu, Jianguo Wang, Xu Chen, Zeying Peng, Xiaoming Yu, Yue Liu, Hongbo Xu, Xueqi Cheng
2010 C conf
Identifying vulgar content in eMule network through text classification.
ISI
Xiangtao Liu, Xueqi Cheng, Jingyuan Li, Haijun Zhai, Shuo Bai
2010 C conf
Improving the routing performance of KAD through social network analysis.
ISCC
Xiangtao Liu, Shuo Bai, You Chen, Xueqi Cheng
2010 Misc conf
Introducing global scaling parameters into Ncut.
SAC
Yiling Zeng, Hongbo Xu, Xueqi Cheng, Shuo Bai
2010 — conf
MIEA: a Mutual Iterative Enhancement Approach for Cross-Domain Sentiment Classification.
COLING (Posters)
Qiong Wu, Songbo Tan, Xueqi Cheng, Miyi Duan
2010 A conf
Manifold ranking with sink points for update summarization.
CIKM
Pan Du, Jiafeng Guo, Jin Zhang, Xueqi Cheng
2010 — conf
Modeling Users' Information Goal Transitions and Satisfaction Judgment: Understanding the Full Search Process.
Web Intelligence
Shandian Zhe, Tian Xia, Xueqi Cheng
2010 B conf
Multi-task Downloading for P2P-VoD: An Empirical Perspective.
ICPADS
Tieying Zhang, Zhenhua Li, Xueqi Cheng, Xianghui Sun
2010 J jnl
Network intrusion detection based on system calls and data mining.
Frontiers Comput. Sci. China
Xinguang Tian, Xueqi Cheng, Miyi Duan, Rui Liao, Hong Chen, Xiaojuan Chen
2010 C conf
Rainbow: A Robust and Versatile Measurement Tool for Kademlia-Based DHT Networks.
PDCAT
Xiangtao Liu, Tao Meng, Kai Cai, Xueqi Cheng
2010 A conf
Social Recommendation with Interpersonal Influence.
ECAI
Junming Huang, Xueqi Cheng, Jiafeng Guo, Huawei Shen, Kun Yang
2010 J jnl
Spectral methods for the detection of network community structure: a comparative analysis
CoRR
Huawei Shen, Xueqi Cheng
2010 — conf
TMSP: Topic Guided Manifold Ranking with Sink Points for Guided Summarization.
TAC
Pan Du, Jin Zhang, Jiafeng Guo, Xueqi Cheng
2009 — conf
A Novel Framework for Related Entities Finding: ICTNET at TREC 2009 Entity Track.
TREC
Haijun Zhai, Xueqi Cheng, Jiafeng Guo, Hongbo Xu, Yue Liu
2009 J jnl
A survey on sentiment detection of reviews.
Expert Syst. Appl.
Huifeng Tang, Songbo Tan, Xueqi Cheng
2009 A conf
Adapting Naive Bayes to Domain Adaptation for Sentiment Analysis.
ECIR
Songbo Tan, Xueqi Cheng, Yuefen Wang, Hongbo Xu
2009 — conf
Bursty topics extraction for web forums.
WIDM
You Chen, Sen Yang, Xueqi Cheng
2009 C conf
ContentEx: A framework for automatic content extraction programs.
ISI
Linhai Song, Xueqi Cheng, Yan Guo, Yue Liu, Guodong Ding
2009 — conf
Enhancing the Performance of Centroid Classifier by ECOC and Model Refinement.
ECML/PKDD (2)
Songbo Tan, Gaowei Wu, Xueqi Cheng
2009 C conf
Facilitating wrapper generation with page analysis.
ISI
Bo Wu, Xueqi Cheng, Yu Wang, Gang Zhang, Guodong Ding
2009 — conf
Graph Ranking for Sentiment Transfer.
ACL/IJCNLP (2)
Qiong Wu, Songbo Tan, Xueqi Cheng
2009 — conf
ICTGrasper at TAC2009: Temporal Preferred Update Summarization.
TAC
Jin Zhang, Pan Du, Hongbo Xu, Xueqi Cheng
2009 — conf
ICTNET at Blog Track TREC 2009.
TREC
Xueke Xu, Yue Liu, Hongbo Xu, Xiaoming Yu, Linhai Song, Feng Guan, Zeying Peng, Xueqi Cheng
2009 — conf
ICTNET at Web Track 2009 Ad-hoc Task.
TREC
Feng Guan, Xiaoming Yu, Zeying Peng, Hongbo Xu, Yue Liu, Linhai Song, Xueqi Cheng
2009 — conf
ICTNET at Web Track 2009 Diversity Track.
TREC
Wenjing Bi, Xiaoming Yu, Yue Liu, Feng Guan, Zeying Peng, Hongbo Xu, Xueqi Cheng
2009 — conf
IS 2009 - PC Co-chairs' Message.
OTM Conferences (2)
Stefanos Gritzalis, Xueqi Cheng
2009 — conf
Improving SCL Model for Sentiment-Transfer Learning.
HLT-NAACL (Short Papers)
Songbo Tan, Xueqi Cheng
2009 B conf
Mediacoop: Hierarchical Lookup for P2P-VoD Services.
ICPP
Tieying Zhang, Jianming Lv, Xueqi Cheng
2009 A* conf
Named entity recognition in query.
SIGIR
Jiafeng Guo, Gu Xu, Xueqi Cheng, Hang Li
2009 — conf
Omni-directional vision for robot navigation in substation environments.
ROBIO
Rui Guo, Lei Han, Xueqi Cheng
2009 — conf
Query Classification Based on Regularized Correlated Topic Model.
Web Intelligence
Haijun Zhai, Jiafeng Guo, Qiong Wu, Xueqi Cheng, Huawei Shen, Jin Zhang
2009 — conf
SentiRank: Cross-Domain Graph Ranking for Sentiment Classification.
Web Intelligence
Qiong Wu, Songbo Tan, Haijun Zhai, Gang Zhang, Miyi Duan, Xueqi Cheng
2009 — conf
Simultaneous Product Attribute Name and Value Extraction from Web Pages.
Web Intelligence/IAT Workshops
Bo Wu, Xueqi Cheng, Yu Wang, Yan Guo, Linhai Song
2008 — conf
A Novel Language Model Based on Cognition Attention Attenuation in Web Retrieval.
Web Intelligence
Donglin Cao, Hongbo Xu, Shuo Bai, Xueqi Cheng, Shaozi Li
2008 — conf
A Wavelet-Based Model to Recognize High-Quality Topics on Web Forum.
Web Intelligence
You Chen, Xueqi Cheng, Yulan Huang
2008 A* conf
A unified and discriminative model for query refinement.
SIGIR
Jiafeng Guo, Gu Xu, Hang Li, Xueqi Cheng
2008 A conf
AdaSum: an adaptive model for summarization.
CIKM
Jin Zhang, Xueqi Cheng, Gaowei Wu, Hongbo Xu
2008 Misc conf
An efficient feature ranking measure for text categorization.
SAC
Songbo Tan, Yuefen Wang, Xueqi Cheng
2008 C conf
Ant Colony Optimization directed program abstraction for software bounded model checking.
ICCD
Xueqi Cheng, Michael S. Hsiao
2008 C conf
BC-GA: A Graph Partitioning Algorithm for Parallel Simulation of Internet Applications.
PDP
Siming Lin, Xueqi Cheng
2008 A* conf
Combining learn-based and lexicon-based techniques for sentiment detection without using labeled examples.
SIGIR
Songbo Tan, Yuefen Wang, Xueqi Cheng
2008 J jnl
Detect overlapping and hierarchical community structure in networks
CoRR
Huawei Shen, Xueqi Cheng, Kai Cai, Mao-Bin Hu
2008 B conf
Detecting Near-Duplicates in Large-Scale Short Text Databases.
PAKDD
Caichun Gong, Yulan Huang, Xueqi Cheng, Shuo Bai
2008 A* conf
Finding core members in virtual communities.
WWW
Haiqiang Chen, Xueqi Cheng, Yue Liu
2008 — conf
GATS-C4.5: An Algorithm for Optimizing Features in Flow Classification.
CCNC
You Chen, Lei Dai, Xueqi Cheng
2008 — conf
GSPSummary: A Graph-Based Sub-topic Partition Algorithm for Summarization.
AIRS
Jin Zhang, Xueqi Cheng, Hongbo Xu
2008 — conf
ICTCAS's ICTGrasper at TAC 2008: Summarizing Dynamic Information with Signature Terms Based Content Filtering.
TAC
Jin Zhang, Xueqi Cheng, Hongbo Xu, Xiaolei Wang, Yiling Zeng
2008 A* conf
Incremental web page template detection.
WWW
Yu Wang, Binxing Fang, Xueqi Cheng, Li Guo, Hongbo Xu
2008 B conf
Micro-Synchronization in Conservative Parallel Network Simulation.
PADS
Siming Lin, Xueqi Cheng, Jianming Lv
2008 — conf
Research on Enterprise Track of TREC 2008.
TREC
Huawei Shen, Lei Wang, Wenjing Bi, Yue Liu, Xueqi Cheng
2008 A conf
Simulation-Directed Invariant Mining for Software Verification.
DATE
Xueqi Cheng, Michael S. Hsiao
2008 — conf
State Causality Analysis of Conservative Parallel Network Simulation.
Annual Simulation Symposium
Siming Lin, Xueqi Cheng, Jianming Lv
2008 Misc conf
Using unlabeled data to handle domain-transfer problem of semantic detection.
SAC
Songbo Tan, Yuefen Wang, Gaowei Wu, Xueqi Cheng
2007 — conf
A Novel Method for Hierarchical Clustering of Search Results.
Web Intelligence/IAT Workshops
Gang Zhang, Yue Liu, Songbo Tan, Xueqi Cheng
2007 C conf
A Visualized Parallel Network Simulator for Modeling Large-Scale Distributed Applications.
PDCAT
Siming Lin, Xueqi Cheng, Jianming Lv
2007 A conf
A novel scheme for domain-transfer problem in the context of sentiment analysis.
CIKM
Songbo Tan, Gaowei Wu, Huifeng Tang, Xueqi Cheng
2007 — conf
An Effective Approach to Enhance Centroid Classifier for Text Categorization.
PKDD
Songbo Tan, Xueqi Cheng
2007 A conf
CTO: concept tree based semantic overlay for pure peer-to-peer information retrieval.
CIKM
Jianming Lv, Xueqi Cheng
2007 J jnl
Data Hiding in a Kind of PDF Texts for Secret Communication.
Int. J. Netw. Secur.
Shangping Zhong, Xueqi Cheng, Tierui Chen
2007 — conf
Dynamic Summarization: Another Stride Towards Summarization.
Web Intelligence/IAT Workshops
Jin Zhang, Xueqi Cheng, Hongbo Xu
2007 A conf
Efficient on-line index maintenance for dynamic text collections by using dynamic balancing tree.
CIKM
Ruijie Guo, Xueqi Cheng, Hongbo Xu, Bin Wang
2007 — conf
Experiments in TREC 2007 Blog Opinion Task at CAS-ICT.
TREC
Xiangwen Liao, Donglin Cao, Yu Wang, Wei Liu, Songbo Tan, Hongbo Xu, Xueqi Cheng
2007 — conf
How Contents Influence Clustering Features in the Web.
Web Intelligence
Xueqi Cheng, Fuxin Ren, Xianbin Cao, Jing Ma
2007 — ed.
Intelligence and Security Informatics, Pacific Asia Workshop, PAISI 2007, Chengdu, China, April 11-12, 2007, Proceedings
PAISI
Christopher C. Yang, Daniel Dajun Zeng, Michael Chau, Kuiyu Chang, Qing Yang, Xueqi Cheng, Jue Wang, Fei-Yue Wang, Hsinchun Chen
2007 C conf
LiveBT: Providing Video-on-Demand Streaming Service over BitTorrent Systems.
PDCAT
Jianming Lv, Xueqi Cheng, Qing Jiang, Jing Ye, Tieying Zhang, Siming Lin, Lei Wang
2007 — conf
Modeling the Evolution of Web using Vertex Content Similarity.
Web Intelligence
Jing Ma, Xianbin Cao, Yuanping Guo, Xueqi Cheng
2007 — conf
Research on Enterprise Track of TREC 2007.
TREC
Huawei Shen, Guoyao Chen, Haiqiang Chen, Yue Liu, Xueqi Cheng
2007 — conf
Text Feature Ranking Based on Rough-set Theory.
Web Intelligence
Songbo Tan, Yuefen Wang, Xueqi Cheng
2007 — conf
Toward Building Lightweight Intrusion Detection System Through Modified RMHC and SVM.
ICON
You Chen, Wen-Fa Li, Xueqi Cheng
2007 J jnl
Towards an analysis of WonGoo performance.
Int. J. Pervasive Comput. Commun.
Tianbo Lu, Binxing Fang, Yuzhong Sun, Xueqi Cheng
2007 Misc conf
Using hypothesis margin to boost centroid text classifier.
SAC
Songbo Tan, Xueqi Cheng
2006 C conf
A traffic-classified technique for filtering spam from bulk delivery E-mails.
IPCCC
Ni Zhang, Yu Jiang, Binxing Fang, Li Guo, Xueqi Cheng
2006 — conf
Combining Language Model with Sentiment Analysis for Opinion Retrieval of Blog-Post.
TREC
Xiangwen Liao, Donglin Cao, Songbo Tan, Yue Liu, Guodong Ding, Xueqi Cheng
2006 — conf
NSME: A Framework for Network Worm Modeling and Simulation.
Net-Con
Siming Lin, Xueqi Cheng
2006 — conf
PSM: A New Re-Ranking Algorithm for Named-Page.
TREC
Jiafeng Guo, Lin Ding, Gang Zhang, Yue Liu, Xueqi Cheng
2006 — conf
Social Network Structure Behind the Mailing Lists: ICT-IIIS at TREC 2006 Expert Finding Track.
TREC
Haiqiang Chen, Huawei Shen, Jin Xiong, Songbo Tan, Xueqi Cheng
2006 Misc conf
Survey and Taxonomy of Feature Selection Algorithms in Intrusion Detection System.
Inscrypt
You Chen, Yang Li, Xueqi Cheng, Li Guo
2006 — conf
Traffic classification-based spam filter.
ICC
Ni Zhang, Yu Jiang, Binxing Fang, Xueqi Cheng, Li Guo
2006 J jnl
Using DragPushing to Refine Concept Index for Text Categorization.
J. Comput. Sci. Technol.
Xueqi Cheng, Songbo Tan, Lilian Tang
2005 A conf
A novel refinement approach for text categorization.
CIKM
Songbo Tan, Xueqi Cheng, Moustafa Ghanem, Bin Wang, Hongbo Xu
2005 — conf
Building Scale-Free Overlay Mix Networks with Small-World Properties.
ICITA (2)
Tianbo Lu, Binxing Fang, Yuzhong Sun, Xueqi Cheng, Li Guo
2005 — conf
CAS-ICT at TREC 2005 SPAM Track: Using Non-Textual Information to Improve Spam Filtering Performance.
TREC
Shuhua Wang, Bin Wang, Hao Lang, Xueqi Cheng
2005 C conf
Performance Analysis ofWonGoo System.
CIT
Tianbo Lu, Binxing Fang, Yuzhong Sun, Xueqi Cheng
2005 A conf
Region-level approximate computation reuse for power reduction in multimedia applications.
ISLPED
Xueqi Cheng, Michael S. Hsiao
2005 — conf
ThresPassport - A Distributed Single Sign-On Service.
ICIC (2)
Tierui Chen, Bin B. Zhu, Shipeng Li, Xueqi Cheng
2005 A* conf
Using dragpushing to refine centroid text classifiers.
SIGIR
Songbo Tan, Xueqi Cheng, Bin Wang, Hongbo Xu, Moustafa Ghanem, Yike Guo
2004 — conf
Experiments in TREC 2004 Novelty Track at CAS-ICT.
TREC
Huaping Zhang, Hongbo Xu, Shuo Bai, Bin Wang, Xueqi Cheng
2004 — conf
TREC 2004 Web Track Experiments at CAS-ICT.
TREC
Zhaotao Zhou, Yan Guo, Bin Wang, Xueqi Cheng, Hongbo Xu, Gang Zhang
2004 Misc conf
WonGoo: A Peer-to-Peer Protocol for Anonymous Communication.
PDPTA
Tianbo Lu, Binxing Fang, Yuzhong Sun, Xueqi Cheng
2004 B conf
WonGoo: A Pure Peer-to-Peer Full Text Information Retrieval System Based On Semantic Overlay Networks.
NCA
Jianming Lv, Xueqi Cheng
2003 — conf
Chinese Lexical Analysis Using Hierarchical Hidden Markov Model.
SIGHAN
Huaping Zhang, Qun Liu, Xueqi Cheng, Hao Zhang, Hongkui Yu
2003 J jnl
Chinese Named Entity Recognition Using Role Model.
Int. J. Comput. Linguistics Chin. Lang. Process.
Huaping Zhang, Qun Liu, Hongkui Yu, Xueqi Cheng, Shuo Bai
2003 — conf
TREC 2003 Novelty and Web Track at ICT.
TREC
Jian Sun, Zhe Yang, Wenfeng Pan, Huaping Zhang, Bin Wang, Xueqi Cheng
2002 — conf
Automatic Recognition of Chinese Unknown Words Based on Roles Tagging.
SIGHAN@COLING
Kevin Zhang, Qun Liu, Hao Zhang, Xueqi Cheng
2002 A* conf
Example-based phrase translation in Chinese-English CLIR.
SIGIR
Bin Wang, Xueqi Cheng, Shuo Bai
2002 — conf
TREC 11 Experiments at CAS-ICT: Filtering and Web.
TREC
Hongbo Xu, Zhifeng Yang, Bin Wang, Bin Liu, Jun Cheng, Yue Liu, Zhe Yang, Xueqi Cheng, Shuo Bai
2001 B conf
Automatic extraction of lexical relations from Chinese machine readable dictionary.
SMC
Sujian Li, Qun Liu, Shuo Bai, Xueqi Cheng
2001 A conf
SainSE: An Intelligent Search Engine Based on WWW Structure Analysis.
IPDPS
GuoZhen Feng, Xueqi Cheng, Shuo Bai
2001 — conf
TREC-10 Experiments at CAS-ICT: Filtering, Web and QA.
TREC
Bin Wang, Hongbo Xu, Zhifeng Yang, Yue Liu, Xueqi Cheng, Dongbo Bu, Shuo Bai