Jiafeng Guo

504 papers A* 94A 65B 9C 3Misc 5Journal 237Unranked 90
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
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
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
Dynamic Prototype-Augmented Stance Detection: Learning from the Seen to Reason about the Unseen.
WWW
Zhaodan Zhang, Jin Zhang, Jiafeng Guo
2026 A* conf
Déjà Vu of Strange Stickers! Enhancing Out-of-Distribution Robustness in Sticker Retrieval via Cross-Modal Intent Alignment.
WWW
Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Changjiang Zhou, Fan Zhang, Yinhu Zhao
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
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
Reconstructing Content via Collaborative Attention to Improve Multimodal Embedding Quality.
CoRR
Jiahan Chen, Da Li, Hengran Zhang, Yinqiong Cai, Lixin Su, Jiafeng Guo, Daiting Shi, Dawei Yin, Keping Bi
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 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 J jnl
Training Dense Retrievers with Multiple Positive Passages.
CoRR
Benben Wang, Minghao Tang, Hengran Zhang, Jiafeng Guo, Keping Bi
2025 — conf
A Comparative Study of Specialized LLMs as Dense Retrievers.
CCIR
Hengran Zhang, Keping Bi, Jiafeng Guo
2025 J jnl
A Comparative Study of Specialized LLMs as Dense Retrievers.
CoRR
Hengran Zhang, Keping Bi, Jiafeng Guo
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 Survey of Context Engineering for Large Language Models.
CoRR
Lingrui Mei, Jiayu Yao, Yuyao Ge, Yiwei Wang, Baolong Bi, Yujun Cai, Jiazhi Liu, Mingyu Li, Zhong-Zhi Li, Duzhen Zhang, Chenlin Zhou, Jiayi Mao, Tianze Xia, Jiafeng Guo, Shenghua Liu
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
An Empirical Study of Evaluating Long-form Question Answering.
SIGIR
Ning Xian, Yixing Fan, Ruqing Zhang, Maarten de Rijke, Jiafeng Guo
2025 J jnl
An Empirical Study of Evaluating Long-form Question Answering.
CoRR
Ning Xian, Yixing Fan, Ruqing Zhang, Maarten de Rijke, Jiafeng Guo
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 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 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 J jnl
CMC-GCN: Consistent multi-granularity cascading graph convolution network for multi-behavior recommendation.
Neurocomputing
Yabo Yin, Xiaofei Zhu, Kunyang Huang, Wenshan Wang, Yihao Zhang, Pengfei Wang, Yixing Fan, Jiafeng Guo
2025 C conf
CSMS: Boosting Class Code Summarization via Transformer Refinement and Method Summary Fusion.
APSEC
Feiqiao Mao, Xingyang Du, Shaocheng Feng, Jiafeng Guo, Yifan Bai
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 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 J jnl
Chain-of-Thought Poisoning Attacks against R1-based Retrieval-Augmented Generation Systems.
CoRR
Hongru Song, Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Yixing Fan
2025 J jnl
Compression then Matching: An Efficient Pre-training Paradigm for Multimodal Embedding.
CoRR
Da Li, Yuxiao Luo, Keping Bi, Jiafeng Guo, Wei Yuan, Biao Yang, Yan Wang, Fan Yang, Tingting Gao, Guorui Zhou
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
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
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 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 — 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 — 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
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 — conf
Injecting External Knowledge into the Reasoning Process Enhances Retrieval-Augmented Generation.
SIGIR-AP
Minghao Tang, Shiyu Ni, Jiafeng Guo, Keping Bi
2025 J jnl
Injecting External Knowledge into the Reasoning Process Enhances Retrieval-Augmented Generation.
CoRR
Minghao Tang, Shiyu Ni, Jiafeng Guo, Keping Bi
2025 J jnl
KnowCoder-A1: Incentivizing Agentic Reasoning Capability with Outcome Supervision for KBQA.
CoRR
Zhuo Chen, Fei Wang, Zixuan Li, Zhao Zhang, Weiwei Ding, Chuanguang Yang, Yongjun Xu, Xiaolong Jin, Jiafeng Guo
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 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 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
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 B conf
MDPO: Customized Direct Preference Optimization with a Metric-based Sampler for Question and Answer Generation.
COLING
Yihang Wang, Bowen Tian, Yueyang Su, Yixing Fan, Jiafeng Guo
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
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 A* conf
NeuVSA: A Unified and Efficient Accelerator for Neural Vector Search.
HPCA
Ziming Yuan, Lei Dai, Wen Li, Jie Zhang, Shengwen Liang, Ying Wang, Cheng Liu, Huawei Li, Xiaowei Li, Jiafeng Guo, Peng Wang, Renhai Chen, Gong Zhang
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 — 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 J jnl
Retrieval-in-the-Chain: Bootstrapping Large Language Models for Generative Retrieval.
CoRR
Yingchen Zhang, Ruqing Zhang, Jiafeng Guo, Wenjun Peng, Sen Li, Fuyu Lv
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 A conf
Robust Information Retrieval.
WSDM
Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke
2025 A* conf
Robust-IR @ SIGIR 2025: The First Workshop on Robust Information Retrieval.
SIGIR
Yu-An Liu, Haya Nachimovsky, Ruqing Zhang, Oren Kurland, Jiafeng Guo, Moshe Tennenholtz
2025 J jnl
Robust-IR @ SIGIR 2025: The First Workshop on Robust Information Retrieval.
CoRR
Yu-An Liu, Haya Nachimovsky, Ruqing Zhang, Oren Kurland, Jiafeng Guo, Moshe Tennenholtz
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 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
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 — 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 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
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
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
2024 — conf
A Claim Decomposition Benchmark for Long-Form Answer Verification.
CCIR
Zhihao Zhang, Yixing Fan, Ruqing Zhang, Jiafeng Guo
2024 J jnl
A Claim Decomposition Benchmark for Long-form Answer Verification.
CoRR
Zhihao Zhang, Yixing Fan, Ruqing Zhang, Jiafeng Guo
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 Unified Causal View of Instruction Tuning.
CoRR
Lu Chen, Wei Huang, Ruqing Zhang, Wei Chen, Jiafeng Guo, Xueqi Cheng
2024 J jnl
A mutually enhanced multi-scale relation-aware graph convolutional network for argument pair extraction.
J. Intell. Inf. Syst.
Xiaofei Zhu, Yidan Liu, Zhuo Chen, Xu Chen, Jiafeng Guo, Stefan Dietze
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 — conf
Are Large Language Models More Honest in Their Probabilistic or Verbalized Confidence?
CCIR
Shiyu Ni, Keping Bi, Lulu Yu, Jiafeng Guo
2024 J jnl
Are Large Language Models More Honest in Their Probabilistic or Verbalized Confidence?
CoRR
Shiyu Ni, Keping Bi, Lulu Yu, Jiafeng Guo
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
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 J jnl
Contextual Dual Learning Algorithm with Listwise Distillation for Unbiased Learning to Rank.
CoRR
Lulu Yu, Keping Bi, Shiyu Ni, Jiafeng Guo
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
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 A* conf
Fake News in Sheep's Clothing: Robust Fake News Detection Against LLM-Empowered Style Attacks.
KDD
Jiaying Wu, Jiafeng Guo, Bryan Hooi
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
HEC-GCN: Hypergraph Enhanced Cascading Graph Convolution Network for Multi-Behavior Recommendation.
CoRR
Yabo Yin, Xiaofei Zhu, Wenshan Wang, Yihao Zhang, Pengfei Wang, Yixing Fan, Jiafeng Guo
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 — 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 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
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 — 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
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 — conf
Multi-task Instruction Tuning for Temporal Question Answering over Knowledge Graphs.
CCIR
Miao Su, Zixuan Li, Xiaolong Jin, Jiafeng Guo
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 — conf
On the Capacity of Citation Generation by Large Language Models.
CCIR
Haosheng Qian, Yixing Fan, Ruqing Zhang, Jiafeng Guo
2024 J jnl
On the Capacity of Citation Generation by Large Language Models.
CoRR
Haosheng Qian, Yixing Fan, Ruqing Zhang, Jiafeng Guo
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
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 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 J jnl
QUITO-X: An Information Bottleneck-based Compression Algorithm with Cross-Attention.
CoRR
Yihang Wang, Xu Huang, Bowen Tian, Yixing Fan, Jiafeng Guo
2024 — conf
QUITO: Accelerating Long-Context Reasoning Through Query-Guided Context Compression.
CCIR
Wenshan Wang, Yihang Wang, Yixing Fan, Huaming Liao, Jiafeng Guo
2024 J jnl
QUITO: Accelerating Long-Context Reasoning through Query-Guided Context Compression.
CoRR
Wenshan Wang, Yihang Wang, Yixing Fan, Huaming Liao, Jiafeng Guo
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 — conf
Recent Advances in Generative Information Retrieval.
ECIR (5)
Yubao Tang, Ruqing Zhang, Zhaochun Ren, Jiafeng Guo, Maarten de Rijke
2024 A* conf
Recent Advances in Generative Information Retrieval.
SIGIR
Yubao Tang, Ruqing Zhang, Zhaochun Ren, Jiafeng Guo, Maarten de Rijke
2024 — conf
Recent Advances in Generative Information Retrieval.
WWW (Companion Volume)
Yubao Tang, Ruqing Zhang, Weiwei Sun, Jiafeng Guo, Maarten de Rijke
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 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 A* conf
Robust Information Retrieval.
SIGIR
Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke
2024 J jnl
Robust Information Retrieval.
CoRR
Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke
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 — 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
Temporal Knowledge Graph Question Answering: A Survey.
CoRR
Miao Su, Zixuan Li, Zhuo Chen, Long Bai, Xiaolong Jin, Jiafeng Guo
2024 — conf
Test-Time Adaptation with Angular Distance-Based Prediction.
ICONIP (6)
Chenhao Li, Lin Li, Zhibin Zhang, Jiafeng Guo, 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 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
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 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 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 — 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 J jnl
CNIM-GCN: Consensus Neighbor Interaction-based Multi-channel Graph Convolutional Networks.
Expert Syst. Appl.
Xiaofei Zhu, Chenghong Li, Jiafeng Guo, Stefan Dietze
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
Dynamic global structure enhanced multi-channel graph neural network for session-based recommendation.
Inf. Sci.
Xiaofei Zhu, Gu Tang, Pengfei Wang, Chenliang Li, Jiafeng Guo, Stefan Dietze
2023 J jnl
Ensemble Ranking Model with Multiple Pretraining Strategies for Web Search.
CoRR
Xiaojie Sun, Lulu Yu, Yiting Wang, Keping Bi, Jiafeng Guo
2023 J jnl
Exploring rich structure information for aspect-based sentiment classification.
J. Intell. Inf. Syst.
Ling Zhu, Xiaofei Zhu, Jiafeng Guo, Stefan Dietze
2023 J jnl
Feature-Enhanced Network with Hybrid Debiasing Strategies for Unbiased Learning to Rank.
CoRR
Lulu Yu, Yiting Wang, Xiaojie Sun, Keping Bi, Jiafeng Guo
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
Generating effective label description for label-aware sentiment classification.
Expert Syst. Appl.
Xiaofei Zhu, Zhanwang Peng, Jiafeng Guo, Stefan Dietze
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 J jnl
Information Retrieval Meets Large Language Models: A Strategic Report from Chinese IR Community.
CoRR
Qingyao Ai, Ting Bai, Zhao Cao, Yi Chang, Jiawei Chen, Zhumin Chen, Zhiyong Cheng, Shoubin Dong, Zhicheng Dou, Fuli Feng, Shen Gao, Jiafeng Guo, Xiangnan He, Yanyan Lan, Chenliang Li, Yiqun Liu, Ziyu Lyu, Weizhi Ma, Jun Ma, Zhaochun Ren, Pengjie Ren, Zhiqiang Wang, Mingwen Wang, Ji-Rong Wen, Le Wu, Xin Xin, Jun Xu, Dawei Yin, Peng Zhang, Fan Zhang, Weinan Zhang, Min Zhang, Xiaofei Zhu
2023 J jnl
Information Retrieval meets Large Language Models: A strategic report from Chinese IR community.
AI Open
Qingyao Ai, Ting Bai, Zhao Cao, Yi Chang, Jiawei Chen, Zhumin Chen, Zhiyong Cheng, Shoubin Dong, Zhicheng Dou, Fuli Feng, Shen Gao, Jiafeng Guo, Xiangnan He, Yanyan Lan, Chenliang Li, Yiqun Liu, Ziyu Lyu, Weizhi Ma, Jun Ma, Zhaochun Ren, Pengjie Ren, Zhiqiang Wang, Mingwen Wang, Ji-Rong Wen, Le Wu, Xin Xin, Jun Xu, Dawei Yin, Peng Zhang, Fan Zhang, Weinan Zhang, Min Zhang, Xiaofei Zhu
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
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 A* conf
Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense Retrieval (Extended Abstract).
IJCAI
Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Jiafeng Guo, Min Zhang, Shaoping Ma
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 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
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 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 A conf
Pre-training with Aspect-Content Text Mutual Prediction for Multi-Aspect Dense Retrieval.
CIKM
Xiaojie Sun, Keping Bi, Jiafeng Guo, Xinyu Ma, Yixing Fan, Hongyu Shan, Qishen Zhang, Zhongyi Liu
2023 J jnl
Pre-training with Aspect-Content Text Mutual Prediction for Multi-Aspect Dense Retrieval.
CoRR
Xiaojie Sun, Keping Bi, Jiafeng Guo, Xinyu Ma, Yixing Fan, Hongyu Shan, Qishen Zhang, Zhongyi Liu
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
Recent Advances in Generative Information Retrieval.
SIGIR-AP
Yubao Tang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke
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 — 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 — 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 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
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
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 — conf
A Dual-Channel Framework for Sarcasm Recognition by Detecting Sentiment Conflict.
NAACL-HLT (Findings)
Yiyi Liu, Yequan Wang, Aixin Sun, Xuying Meng, Jing Li, Jiafeng Guo
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 — conf
Beyond Precision: A Study on Recall of Initial Retrieval with Neural Representations.
CCIR
Yan Xiao, Yixing Fan, Ruqing Zhang, Jiafeng Guo
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 B conf
CofeNet: Context and Former-Label Enhanced Net for Complicated Quotation Extraction.
COLING
Yequan Wang, Xiang Li, Aixin Sun, Xuying Meng, Huaming Liao, Jiafeng Guo
2022 J jnl
CofeNet: Context and Former-Label Enhanced Net for Complicated Quotation Extraction.
CoRR
Yequan Wang, Xiang Li, Aixin Sun, Xuying Meng, Huaming Liao, Jiafeng Guo
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
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 — conf
DFS-NER: Description Enhanced Few-shot NER via Prompt Learning and Meta-Learning.
WI/IAT
Huinan Huang, Yuming Feng, Xiaolong Jin, Saiping Guan, Jiafeng Guo
2022 A conf
Discriminative Language Model via Self-Teaching for Dense Retrieval.
CIKM
Lu Chen, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Xueqi Cheng
2022 A conf
Evaluating Interpolation and Extrapolation Performance of Neural Retrieval Models.
CIKM
Jingtao Zhan, Xiaohui Xie, Jiaxin Mao, Yiqun Liu, Jiafeng Guo, Min Zhang, Shaoping Ma
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 — 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 A* conf
Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense Retrieval (Extended Abstract).
IJCAI
Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Jiafeng Guo, Min Zhang, Shaoping Ma
2022 A conf
Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense Retrieval.
WSDM
Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Jiafeng Guo, Min Zhang, Shaoping Ma
2022 J jnl
LegoNet: A Fast and Exact Unlearning Architecture.
CoRR
Sihao Yu, Fei Sun, Jiafeng Guo, Ruqing Zhang, 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 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 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 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 J jnl
Pre-training Methods in Information Retrieval.
Found. Trends Inf. Retr.
Yixing Fan, Xiaohui Xie, Yinqiong Cai, Jia Chen, Xinyu Ma, Xiangsheng Li, Ruqing Zhang, Jiafeng Guo
2022 J jnl
Rich Event Modeling for Script Event Prediction.
CoRR
Long Bai, Saiping Guan, Zixuan Li, Jiafeng Guo, Xiaolong Jin, 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 J jnl
Time enhanced graph neural networks for session-based recommendation.
Knowl. Based Syst.
Gu Tang, Xiaofei Zhu, Jiafeng Guo, Stefan Dietze
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 J jnl
A Dual-Channel Framework for Sarcasm Recognition by Detecting Sentiment Conflict.
CoRR
Yiyi Liu, Yequan Wang, Aixin Sun, Zheng Zhang, Jiafeng Guo, Xuying Meng
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 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
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 J jnl
Exploring Implicit and Explicit Geometrical Structure of Data for Deep Embedded Clustering.
Neural Process. Lett.
Xiaofei Zhu, Khoi Duy Do, Jiafeng Guo, Jun Xu, Stefan Dietze
2021 J jnl
Exploring user historical semantic and sentiment preference for microblog sentiment classification.
Neurocomputing
Xiaofei Zhu, Jie Wu, Ling Zhu, Jiafeng Guo, Ran Yu, Katarina Boland, Stefan Dietze
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
GL-GCN: Global and Local Dependency Guided Graph Convolutional Networks for aspect-based sentiment classification.
Expert Syst. Appl.
Xiaofei Zhu, Ling Zhu, Jiafeng Guo, Shangsong Liang, Stefan Dietze
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
Interpreting Dense Retrieval as Mixture of Topics.
CoRR
Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Jiafeng Guo, Min Zhang, Shaoping Ma
2021 A conf
Jointly Optimizing Query Encoder and Product Quantization to Improve Retrieval Performance.
CIKM
Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Jiafeng Guo, Min Zhang, Shaoping Ma
2021 J jnl
Jointly Optimizing Query Encoder and Product Quantization to Improve Retrieval Performance.
CoRR
Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Jiafeng Guo, Min Zhang, Shaoping Ma
2021 J jnl
Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense Retrieval.
CoRR
Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Jiafeng Guo, Min Zhang, Shaoping Ma
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 A* conf
Optimizing Dense Retrieval Model Training with Hard Negatives.
SIGIR
Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Jiafeng Guo, Min Zhang, Shaoping Ma
2021 J jnl
Optimizing Dense Retrieval Model Training with Hard Negatives.
CoRR
Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Jiafeng Guo, Min Zhang, Shaoping Ma
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 Methods in Information Retrieval.
CoRR
Yixing Fan, Xiaohui Xie, Yinqiong Cai, Jia Chen, Xinyu Ma, Xiangsheng Li, Ruqing Zhang, Jiafeng Guo, Yiqun Liu
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 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 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
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
Transformation Driven Visual Reasoning.
CVPR
Xin Hong, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng
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
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
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 C conf
Bidirectional Dependency-Guided Attention for Relation Extraction.
ACML
Xingchen Deng, Lei Zhang, Yixing Fan, Long Bai, Jiafeng Guo, Pengfei Wang
2020 A conf
CIDetector: Semi-Supervised Method for Multi-Topic Confidential Information Detection.
ECAI
Jianguo Jiang, Yue Lu, Min Yu, Yantao Jia, Jiafeng Guo, Chao Liu, Weiqing Huang
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 J jnl
Dual-factor Generation Model for Conversation.
ACM Trans. Inf. Syst.
Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng
2020 J jnl
Dynamic-K Recommendation with Personalized Decision Boundary.
CoRR
Yan Gao, Jiafeng Guo, Yanyan Lan, Huaming Liao
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
IART: Intent-aware Response Ranking with Transformers in Information-seeking Conversation Systems.
WWW
Liu Yang, Minghui Qiu, Chen Qu, Cen Chen, Jiafeng Guo, Yongfeng Zhang, W. Bruce Croft, Haiqing Chen
2020 J jnl
IART: Intent-aware Response Ranking with Transformers in Information-seeking Conversation Systems.
CoRR
Liu Yang, Minghui Qiu, Chen Qu, Cen Chen, Jiafeng Guo, Yongfeng Zhang, W. Bruce Croft, Haiqing Chen
2020 A* conf
Kaleido: An Efficient Out-of-core Graph Mining System on A Single Machine.
ICDE
Cheng Zhao, Zhibin Zhang, Peng Xu, Tianqi Zheng, Jiafeng Guo
2020 A conf
Label Distribution Augmented Maximum Likelihood Estimation for Reading Comprehension.
WSDM
Lixin Su, Jiafeng Guo, Yixing Fan, Yanyan Lan, 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 J jnl
Multi-view image clustering based on sparse coding and manifold consensus.
Neurocomputing
Xiaofei Zhu, Jiafeng Guo, Wolfgang Nejdl, Xiangwen Liao, Stefan Dietze
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
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
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
Structure Learning for Headline Generation.
AAAI
Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng
2020 J jnl
Transformation Driven Visual Reasoning.
CoRR
Xin Hong, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng
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 — 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
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 A conf
DAPA: The WSDM 2019 Workshop on Deep Matching in Practical Applications.
WSDM
Yixing Fan, Qingyao Ai, Zhaochun Ren, Liangjie Hong, Dawei Yin, Jiafeng Guo
2019 A* conf
Differentiated Distribution Recovery for Neural Text Generation.
AAAI
Jianing Li, Yanyan Lan, Jiafeng Guo, Jun Xu, 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
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 A* conf
Hierarchical Matching Network for Crime Classification.
SIGIR
Pengfei Wang, Yu Fan, Shuzi Niu, Ze Yang, Yongfeng Zhang, Jiafeng Guo
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 Temporal Dynamics of Users' Purchase Behaviors for Next Basket Prediction.
J. Comput. Sci. Technol.
Pengfei Wang, Yongfeng Zhang, Shuzi Niu, Jiafeng Guo
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 B conf
Multi-graph Convolution Network with Jump Connection for Event Detection.
ICTAI
Xiangbin Meng, Pengfei Wang, Haoran Yan, Liutong Xu, Jiafeng Guo, Yixing Fan
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 Misc ed.
Proceedings of the 2019 ACM SIGIR International Conference on Theory of Information Retrieval, ICTIR 2019, Santa Clara, CA, USA, October 2-5, 2019.
ICTIR
Yi Fang, Yi Zhang, James Allan, Krisztian Balog, Ben Carterette, Jiafeng Guo
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 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 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
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 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 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 — ed.
Information Retrieval - 24th China Conference, CCIR 2018, Guilin, China, September 27-29, 2018, Proceedings
CCIR
Shichao Zhang, Tie-Yan Liu, Xianxian Li, Jiafeng Guo, Chenliang Li
2018 A* conf
Learning a Deep Listwise Context Model for Ranking Refinement.
SIGIR
Qingyao Ai, Keping Bi, Jiafeng Guo, W. Bruce Croft
2018 J jnl
Learning a Deep Listwise Context Model for Ranking Refinement.
CoRR
Qingyao Ai, Keping Bi, Jiafeng Guo, W. Bruce Croft
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 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 Misc conf
Multi Page Search with Reinforcement Learning to Rank.
ICTIR
Wei Zeng, Jun Xu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng
2018 A conf
Multiple Manifold Regularized Sparse Coding for Multi-View Image Clustering.
CIKM
Xiaofei Zhu, Khoi Duy Vo, Jiafeng Guo, Jiangwu Long
2018 A conf
Neighborhood Voting: A Novel Search Scheme for Hashing.
CIKM
Yan Xiao, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng
2018 J jnl
Neural information retrieval: introduction to the special issue.
Inf. Retr. J.
Nick Craswell, W. Bruce Croft, Maarten de Rijke, Jiafeng Guo, Bhaskar Mitra
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 A* conf
Response Ranking with Deep Matching Networks and External Knowledge in Information-seeking Conversation Systems.
SIGIR
Liu Yang, Minghui Qiu, Chen Qu, Jiafeng Guo, Yongfeng Zhang, W. Bruce Croft, Jun Huang, Haiqing Chen
2018 J jnl
Response Ranking with Deep Matching Networks and External Knowledge in Information-seeking Conversation Systems.
CoRR
Liu Yang, Minghui Qiu, Chen Qu, Jiafeng Guo, Yongfeng Zhang, W. Bruce Croft, Jun Huang, Haiqing Chen
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
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
Unbiased Learning to Rank with Unbiased Propensity Estimation.
SIGIR
Qingyao Ai, Keping Bi, Cheng Luo, Jiafeng Guo, W. Bruce Croft
2018 J jnl
Unbiased Learning to Rank with Unbiased Propensity Estimation.
CoRR
Qingyao Ai, Keping Bi, Cheng Luo, Jiafeng Guo, W. Bruce Croft
2018 J jnl
aNMM: Ranking Short Answer Texts with Attention-Based Neural Matching Model.
CoRR
Liu Yang, Qingyao Ai, Jiafeng Guo, W. Bruce Croft
2017 J jnl
A Deep Investigation of Deep IR Models.
CoRR
Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Xueqi Cheng
2017 J jnl
A Deep Relevance Matching Model for Ad-hoc Retrieval.
CoRR
Jiafeng Guo, Yixing Fan, Qingyao Ai, W. Bruce Croft
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
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
Dynamic-K Recommendation with Personalized Decision Boundary.
CCIR
Yan Gao, Jiafeng Guo, Yanyan Lan, Huaming Liao
2017 — conf
Gbot at the NTCIR-13 STC-2 Task.
NTCIR
Hainan Zhang, Tonglei Guo, Yanyan Lan, Jiafeng Guo, Jianing Li, Xueqi Cheng
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 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 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
Neural Matching Models for Question Retrieval and Next Question Prediction in Conversation.
CoRR
Liu Yang, Hamed Zamani, Yongfeng Zhang, Jiafeng Guo, W. Bruce Croft
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 J jnl
Query ranking model for search engine query recommendation.
Int. J. Mach. Learn. Cybern.
Jianguo Wang, Joshua Zhexue Huang, Jiafeng Guo, Yanyan Lan
2017 A* conf
Reinforcement Learning to Rank with Markov Decision Process.
SIGIR
Zheng Wei, Jun Xu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng
2017 J jnl
Report on the Second SIGIR Workshop on Neural Information Retrieval (Neu-IR'17).
SIGIR Forum
Nick Craswell, W. Bruce Croft, Maarten de Rijke, Jiafeng Guo, Bhaskar Mitra
2017 A* conf
SIGIR 2017 Workshop on Neural Information Retrieval (Neu-IR'17).
SIGIR
Nick Craswell, W. Bruce Croft, Maarten de Rijke, Jiafeng Guo, Bhaskar Mitra
2017 J jnl
Spherical Paragraph Model.
CoRR
Ruqing Zhang, Jiafeng Guo, Yanyan Lan, Jun Xu, 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 A conf
A Deep Relevance Matching Model for Ad-hoc Retrieval.
CIKM
Jiafeng Guo, Yixing Fan, Qingyao Ai, W. Bruce Croft
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 incremental model on search engine query recommendation.
Neurocomputing
Jianguo Wang, Joshua Zhexue Huang, Dingming Wu, Jiafeng Guo, Yanyan Lan
2016 Misc conf
Analysis of the Paragraph Vector Model for Information Retrieval.
ICTIR
Qingyao Ai, Liu Yang, Jiafeng Guo, W. Bruce Croft
2016 A conf
Beyond Factoid QA: Effective Methods for Non-factoid Answer Sentence Retrieval.
ECIR
Liu Yang, Qingyao Ai, Damiano Spina, Ruey-Cheng Chen, Liang Pang, W. Bruce Croft, Jiafeng Guo, Falk Scholer
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 A* conf
Improving Language Estimation with the Paragraph Vector Model for Ad-hoc Retrieval.
SIGIR
Qingyao Ai, Liu Yang, Jiafeng Guo, W. Bruce Croft
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 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 A conf
Multi-task Representation Learning for Demographic Prediction.
ECIR
Pengfei Wang, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng
2016 A* conf
Neu-IR: The SIGIR 2016 Workshop on Neural Information Retrieval.
SIGIR
Nick Craswell, W. Bruce Croft, Jiafeng Guo, Bhaskar Mitra, Maarten de Rijke
2016 J jnl
Report on the SIGIR 2016 Workshop on Neural Information Retrieval (Neu-IR).
SIGIR Forum
Nick Craswell, W. Bruce Croft, Jiafeng Guo, Bhaskar Mitra, Maarten de Rijke
2016 A* conf
SPAN: Understanding a Question with Its Support Answers.
AAAI
Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Xueqi Cheng
2016 A conf
Semantic Matching by Non-Linear Word Transportation for Information Retrieval.
CIKM
Jiafeng Guo, Yixing Fan, Qingyao Ai, W. Bruce Croft
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 A conf
Your Cart tells You: Inferring Demographic Attributes from Purchase Data.
WSDM
Pengfei Wang, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng
2016 A conf
aNMM: Ranking Short Answer Texts with Attention-Based Neural Matching Model.
CIKM
Liu Yang, Qingyao Ai, Jiafeng Guo, W. Bruce Croft
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 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 — conf
Learning Word Representations by Jointly Modeling Syntagmatic and Paradigmatic Relations.
ACL (1)
Fei Sun, Jiafeng Guo, Yanyan Lan, Jun Xu, 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 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
Next Basket Recommendation with Neural Networks.
RecSys Posters
Shengxian Wan, Yanyan Lan, Pengfei Wang, Jiafeng Guo, Jun Xu, Xueqi Cheng
2015 J jnl
Recommending high-utility search engine queries via a query-recommending model.
Neurocomputing
Jianguo Wang, Joshua Zhexue Huang, Jiafeng Guo, Yanyan Lan
2015 J jnl
Structural Learning of Diverse Ranking.
CoRR
Yadong Zhu, Yanyan Lan, Jiafeng Guo, 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 J jnl
BTM: Topic Modeling over Short Texts.
IEEE Trans. Knowl. Data Eng.
Xueqi Cheng, Xiaohui Yan, Yanyan Lan, Jiafeng Guo
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 A conf
Modeling Retail Transaction Data for Personalized Shopping Recommendation.
CIKM
Pengfei Wang, Jiafeng Guo, Yanyan Lan
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 B conf
Personalized paper recommendation in online social scholar system.
ASONAM
Huan Xue, Jiafeng Guo, Yanyan Lan, Lei Cao
2014 A conf
Position-Aware ListMLE: A Sequential Learning Process for Ranking.
UAI
Yanyan Lan, Yadong Zhu, Jiafeng Guo, Shuzi Niu, 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 A* conf
A biterm topic model for short texts.
WWW
Xiaohui Yan, Jiafeng Guo, Yanyan Lan, Xueqi Cheng
2013 A* conf
Collaborative factorization for recommender systems.
SIGIR
Chaosheng Fan, Yanyan Lan, Jiafeng Guo, Zuoquan Lin, Xueqi Cheng
2013 A conf
Group sparse topical coding: from code to topic.
WSDM
Lu Bai, Jiafeng Guo, Yanyan Lan, 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
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
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
2012 A conf
A new probabilistic model for top-k ranking problem.
CIKM
Shuzi Niu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng
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 — 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
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 A conf
More than relevance: high utility query recommendation by mining users' search behaviors.
CIKM
Xiaofei Zhu, Jiafeng Guo, Xueqi Cheng, Yanyan Lan
2012 — conf
Statistical Consistency of Ranking Methods in A Rank-Differentiable Probability Space.
NIPS
Yanyan Lan, Jiafeng Guo, Xueqi Cheng, Tie-Yan Liu
2012 A* conf
Top-k learning to rank: labeling, ranking and evaluation.
SIGIR
Shuzi Niu, Jiafeng Guo, Yanyan Lan, Xueqi Cheng
2011 A* conf
A unified framework for recommending diverse and relevant queries.
WWW
Xiaofei Zhu, Jiafeng Guo, Xueqi Cheng, Pan Du, Huawei Shen
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 A conf
Intent-aware query similarity.
CIKM
Jiafeng Guo, Xueqi Cheng, Gu Xu, Xiaofei Zhu
2011 A* conf
Multi-Select Faceted Navigation Based on Minimum Description Length Principle.
IJCAI
Chao He, Xueqi Cheng, Jiafeng Guo, Huawei Shen
2011 — conf
Query Recommendation by Modelling the Query-Flow Graph.
AIRS
Lu Bai, Jiafeng Guo, Xueqi Cheng
2011 A* conf
Supervised Lazy Random Walk for Topic-Focused Multi-document Summarization.
ICDM
Pan Du, Jiafeng Guo, 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 — conf
ICTNET at Entity Track TREC 2010.
TREC
Lei Cao, Lu Bai, Xueqi Cheng, Jiafeng Guo, Hongbo Xu, Yue Liu, Xiaoming Yu
2010 A conf
Manifold ranking with sink points for update summarization.
CIKM
Pan Du, Jiafeng Guo, Jin Zhang, Xueqi Cheng
2010 A conf
Social Recommendation with Interpersonal Influence.
ECAI
Junming Huang, Xueqi Cheng, Jiafeng Guo, Huawei Shen, Kun Yang
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 Clustering Framework Based on Adaptive Space Mapping and Rescaling.
AIRS
Yiling Zeng, Hongbo Xu, Jiafeng Guo, Yu Wang, Shuo Bai
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 A* conf
Named entity recognition in query.
SIGIR
Jiafeng Guo, Gu Xu, Xueqi Cheng, Hang Li
2009 — conf
Query Classification Based on Regularized Correlated Topic Model.
Web Intelligence
Haijun Zhai, Jiafeng Guo, Qiong Wu, Xueqi Cheng, Huawei Shen, Jin Zhang
2008 A* conf
A unified and discriminative model for query refinement.
SIGIR
Jiafeng Guo, Gu Xu, Hang Li, Xueqi Cheng
2006 — conf
PSM: A New Re-Ranking Algorithm for Named-Page.
TREC
Jiafeng Guo, Lin Ding, Gang Zhang, Yue Liu, Xueqi Cheng