Huawei Shen - RankMe

374 papers A* 60A 36B 8C 1Misc 1Journal 190Unranked 76

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ACE-Align: Attribute Causal Effect Alignment for Cultural Values under Varying Persona Granularities. CoRR Jiatang Luo, Bingbing Xu, Rongxin Chen, Xiaoyan Zhao, Yang Zhang, Liang Pang, Zhiyong Huang, Tat-Seng Chua, Huawei Shen
2026	A*	`conf`	AuditAgent: LLM Agent for Risks Auditing in Recommender Systems. AAAI Du Su, Zhenxing Chen, Shilong Zhao, Yuanhao Liu, Fei Sun, Qi Cao, Huawei Shen
2026	J	`jnl`	Beyond Entangled Planning: Task-Decoupled Planning for Long-Horizon Agents. CoRR Yunfan Li, Bingbing Xu, Xueyun Tian, Xiucheng Xu, Huawei Shen
2026	J	`jnl`	Chain-of-Memory: Lightweight Memory Construction with Dynamic Evolution for LLM Agents. CoRR Xiucheng Xu, Bingbing Xu, Xueyun Tian, Zihe Huang, Rongxin Chen, Yunfan Li, Huawei Shen
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`	GIFT: Games as Informal Training for Generalizable LLMs. CoRR Nuoyan Lyu, Bingbing Xu, Weihao Meng, Yige Yuan, Yang Zhang, Zhiyong Huang, Tat-Seng Chua, Huawei Shen
2026	J	`jnl`	HAG: Hierarchical Demographic Tree-based Agent Generation for Topic-Adaptive Simulation. CoRR Rongxin Chen, Tianyu Wu, Bingbing Xu, Jiatang Luo, Xiucheng Xu, Huawei Shen
2026	J	`jnl`	Learning from Mistakes: Negative Reasoning Samples Enhance Out-of-Domain Generalization. CoRR Xueyun Tian, Minghua Ma, Bingbing Xu, Nuoyan Lyu, Wei Li, Heng Dong, Zheng Chu, Yuanzhuo Wang, Huawei Shen
2026	A	`conf`	Multi-Personality Generation of LLMs at Decoding-time. WSDM Rongxin Chen, Yunfan Li, Yige Yuan, Bingbing Xu, Huawei Shen
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`	R CoRR Jingchu Wang, Bingbing Xu, Yige Yuan, Bin Xie, Xiaoqian Sun, Huawei Shen
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	J	`jnl`	ROMA: Real-time Omni-Multimodal Assistant with Interactive Streaming Understanding. CoRR Xueyun Tian, Wei Li, Bingbing Xu, Heng Dong, Yuanzhuo Wang, Huawei Shen
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	J	`jnl`	The answer lies within: Detecting Trojans from DNNs' inherent characteristics. Neural Networks Xuchao Liu, Qi Cao, Kaike Zhang, Du Su, Huawei Shen
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
2026	J	`jnl`	Towards Robust Process Reward Modeling via Noise-aware Learning. CoRR Bin Xie, Bingbing Xu, Xueyun Tian, Yilin Chen, Huawei Shen
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	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`	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	J	`jnl`	CST-Net: community-guided structural-temporal convolutional networks for popularity prediction. PeerJ Comput. Sci. Xuxu Zheng, Peng Bao, Lin Qi, Chen Tian, Huawei Shen
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`	Data Usage Privacy Auditing for Semi-supervised GNNs. SIGIR-AP Yang Li, Kaike Zhang, Bingbing Xu, Fei Sun, Qi Cao, Huawei Shen
2025	—	`conf`	Differentiated Vision: Unveiling Entity-Specific Visual Modality Requirements for Multimodal Knowledge Graph. EMNLP (Findings) Minghang Liu, Yinghan Shen, Zihe Huang, Yuanzhuo Wang, Xuhui Jiang, Huawei Shen
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	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	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`	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	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`	From Outcomes to Processes: Guiding PRM Learning from ORM for Inference-Time Alignment. ACL (1) Bin Xie, Bingbing Xu, Yige Yuan, Shengmao Zhu, Huawei Shen
2025	J	`jnl`	From Outcomes to Processes: Guiding PRM Learning from ORM for Inference-Time Alignment. CoRR Bin Xie, Bingbing Xu, Yige Yuan, Shengmao Zhu, Huawei Shen
2025	—	`conf`	GDA: Graph Distance Autoencoder for Label-only Membership Inference Attack on GNNs. SIGIR-AP Yang Li, Yunfan Wu, Bingbing Xu, Fei Sun, Qi Cao, Huawei Shen
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	J	`jnl`	GeoVLMath: Enhancing Geometry Reasoning in Vision-Language Models via Cross-Modal Reward for Auxiliary Line Creation. CoRR Shasha Guo, Liang Pang, Xi Wang, Yanling Wang, Huawei Shen, Jing Zhang
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`	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	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	—	`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`	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	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	—	`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`	MIGE: A Unified Framework for Multimodal Instruction-Based Image Generation and Editing. CoRR Xueyun Tian, Wei Li, Bingbing Xu, Yige Yuan, Yuanzhuo Wang, Huawei Shen
2025	A*	`conf`	MIGE: Mutually Enhanced Multimodal Instruction-Based Image Generation and Editing. ACM Multimedia Xueyun Tian, Wei Li, Bingbing Xu, Yige Yuan, Yuanzhuo Wang, Huawei Shen
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	J	`jnl`	Multi-Personality Generation of LLMs at Decoding-time. CoRR Rongxin Chen, Yunfan Li, Yige Yuan, Bingbing Xu, Huawei Shen
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`	PRDetect: Perturbation-Robust LLM-generated Text Detection Based on Syntax Tree. NAACL (Findings) Xiang Li, Zhiyi Yin, Hexiang Tan, Shaoling Jing, Du Su, Yi Cheng, Huawei Shen, Fei Sun
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`	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	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	—	`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`	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	—	`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	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`	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	—	`conf`	Unveiling the Potential of LLMs in Simulated Society: A Knowledge-Driven LLM Agent Framework for User Modeling. WWW (Companion Volume) Shengmao Zhu, Bingbing Xu, Yige Yuan, Bin Xie, Yunfan Li, Huawei Shen
2024	J	`jnl`	ALiiCE: Evaluating Positional Fine-grained Citation Generation. CoRR Yilong Xu, Jinhua Gao, Xiaoming Yu, Baolong Bi, Huawei Shen, Xueqi Cheng
2024	A	`conf`	Accelerating the Surrogate Retraining for Poisoning Attacks against Recommender Systems. RecSys Yunfan Wu, Qi Cao, Shuchang Tao, Kaike Zhang, Fei Sun, Huawei Shen
2024	J	`jnl`	Accelerating the Surrogate Retraining for Poisoning Attacks against Recommender Systems. CoRR Yunfan Wu, Qi Cao, Shuchang Tao, Kaike Zhang, Fei Sun, Huawei Shen
2024	Misc	`conf`	BCC: Bidirectional Consistency Constraint Method for Hierarchical Text Classification. ICASSP Yinghan Shen, Yu Yan, Dechun Yin, Huawei Shen
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`	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	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`	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	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 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	—	`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	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`	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	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	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	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	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	J	`jnl`	Node Embedding Preserving Graph Summarization. ACM Trans. Knowl. Discov. Data Houquan Zhou, Shenghua Liu, Huawei Shen, 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	—	`conf`	PKAD: Pretrained Knowledge is All You Need to Detect and Mitigate Textual Backdoor Attacks. EMNLP (Findings) Yu Chen, Qi Cao, Kaike Zhang, Xuchao Liu, Huawei Shen
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	—	`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	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	—	`conf`	S DASFAA (5) Yinghan Shen, Yu Yan, Dechun Yin, Huawei Shen
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`	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	J	`jnl`	Stable Knowledge Editing in Large Language Models. CoRR Zihao Wei, Liang Pang, Hanxing Ding, Jingcheng Deng, Huawei Shen, 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`	The Fall of ROME: Understanding the Collapse of LLMs in Model Editing. EMNLP (Findings) Wanli Yang, Fei Sun, Jiajun Tan, Xinyu Ma, Du Su, Dawei Yin, Huawei Shen
2024	J	`jnl`	The Fall of ROME: Understanding the Collapse of LLMs in Model Editing. CoRR Wanli Yang, Fei Sun, Jiajun Tan, Xinyu Ma, Du Su, Dawei Yin, Huawei Shen
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	A*	`conf`	Toward Practical Entity Alignment Method Design: Insights from New Highly Heterogeneous Knowledge Graph Datasets. WWW Xuhui Jiang, Chengjin Xu, Yinghan Shen, Yuanzhuo Wang, Fenglong Su, Zhichao Shi, Fei Sun, Zixuan Li, Jian Guo, Huawei Shen
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	A*	`conf`	Tree-of-Reasoning Question Decomposition for Complex Question Answering with Large Language Models. AAAI Kun Zhang, Jiali Zeng, Fandong Meng, Yuanzhuo Wang, Shiqi Sun, Long Bai, Huawei Shen, Jie Zhou
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	—	`conf`	Unlink to Unlearn: Simplifying Edge Unlearning in GNNs. WWW (Companion Volume) Jiajun Tan, Fei Sun, Ruichen Qiu, Du Su, Huawei Shen
2024	J	`jnl`	Unlink to Unlearn: Simplifying Edge Unlearning in GNNs. CoRR Jiajun Tan, Fei Sun, Ruichen Qiu, Du Su, Huawei Shen
2024	—	`conf`	Unlocking the Power of Large Language Models for Entity Alignment. ACL (1) Xuhui Jiang, Yinghan Shen, Zhichao Shi, Chengjin Xu, Wei Li, Zixuan Li, Jian Guo, Huawei Shen, Yuanzhuo Wang
2024	J	`jnl`	Unlocking the Power of Large Language Models for Entity Alignment. CoRR Xuhui Jiang, Yinghan Shen, Zhichao Shi, Chengjin Xu, Wei Li, Zixuan Li, Jian Guo, Huawei Shen, Yuanzhuo Wang
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 to Trust LLMs: Aligning Confidence with Response Quality. ACL (Findings) Shuchang Tao, Liuyi Yao, Hanxing Ding, Yuexiang Xie, Qi Cao, Fei Sun, Jinyang Gao, Huawei Shen, Bolin Ding
2024	J	`jnl`	When to Trust LLMs: Aligning Confidence with Response Quality. CoRR Shuchang Tao, Liuyi Yao, Hanxing Ding, Yuexiang Xie, Qi Cao, Fei Sun, Jinyang Gao, Huawei Shen, Bolin Ding
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`	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`	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`	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	A	`conf`	CANA: Causal-enhanced Social Network Alignment. CIKM Jiangli Shao, Yongqing Wang, Fangda Guo, Boshen Shi, Huawei Shen, 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	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`	DCGNN: Dual-Channel Graph Neural Network for Social Bot Detection. CIKM Nuoyan Lyu, Bingbing Xu, Fangda Guo, Huawei Shen
2023	J	`jnl`	DyTSCL: Dynamic graph representation via tempo-structural contrastive learning. Neurocomputing Jianian Li, Peng Bao, Rong Yan, Huawei Shen
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`	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`	Graph Adversarial Immunization for Certifiable Robustness. CoRR Shuchang Tao, Huawei Shen, Qi Cao, Yunfan Wu, Liang Hou, 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	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`	Learning node representation via Motif Coarsening. Knowl. Based Syst. Rong Yan, Peng Bao, Huawei Shen, Xuanya Li
2023	A*	`conf`	MIDLG: Mutual Information based Dual Level GNN for Transaction Fraud Complaint Verification. KDD Wen Zheng, Bingbing Xu, Emiao Lu, Yang Li, Qi Cao, Xuan Zong, Huawei Shen
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	—	`conf`	Meta-Path Based Social Relation Reasoning in a Deep and Robust Way. DASFAA (3) Xuhui Jiang, Yinghan Shen, Yuanzhuo Wang, Huawei Shen, Chengjin Xu, Shengjie Ma
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`	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	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`	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	—	`conf`	ReFSQL: A Retrieval-Augmentation Framework for Text-to-SQL Generation. EMNLP (Findings) Kun Zhang, Xiexiong Lin, Yuanzhuo Wang, Xin Zhang, Fei Sun, Jianhe Cen, Hexiang Tan, Xuhui Jiang, Huawei Shen
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`	Rethinking GNN-based Entity Alignment on Heterogeneous Knowledge Graphs: New Datasets and A New Method. CoRR Xuhui Jiang, Chengjin Xu, Yinghan Shen, Fenglong Su, Yuanzhuo Wang, Fei Sun, Zixuan Li, Huawei Shen
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	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	—	`conf`	Simple Multi-view Can Bring Powerful Graph Neural Network. WWW (Companion Volume) Bingbing Xu, Yang Li, Qi Cao, Huawei Shen
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	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	—	`conf`	Towards Deeper Graph Neural Networks via Layer-Adaptive. WWW (Companion Volume) Bingbing Xu, Bin Xie, Huawei Shen
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`	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	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`	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	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	C	`conf`	Coordinate Mapping Method of Crowdsourced Data for Indoor Fingerprint Localization. IPIN Zhengyi Li, Wen Li, Dongyan Wei, Hong Yuan, Bingbing Xu, Huawei Shen
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	J	`jnl`	Hierarchical Estimation for Effective and Efficient Sampling Graph Neural Network. CoRR Yang Li, Bingbing Xu, Qi Cao, Yige Yuan, Huawei Shen
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	J	`jnl`	Learning node embeddings via summary graphs: a brief theoretical analysis. CoRR Houquan Zhou, Shenghua Liu, Danai Koutra, Huawei Shen, 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`	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	J	`jnl`	MiSTR: A Multiview Structural-Temporal Learning Framework for Rumor Detection. IEEE Trans. Big Data Jianian Li, Peng Bao, Huawei Shen, Xuanya Li
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`	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	—	`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	B	`conf`	Region-based Cross-modal Retrieval. IJCNN Dan Yang Hou, Liang Pang, Yanyan Lan, Huawei Shen, 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	—	`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
2021	J	`jnl`	Accurate and Explainable Recommendation via Hierarchical Attention Network Oriented Towards Crowd Intelligence. Knowl. Based Syst. Chao Yang, Weixin Zhou, Zhiyu Wang, Bin Jiang, Dongsheng Li, Huawei Shen
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	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`	Beyond Low-frequency Information in Graph Convolutional Networks. AAAI Deyu Bo, Xiao Wang, Chuan Shi, Huawei Shen
2021	J	`jnl`	Beyond Low-frequency Information in Graph Convolutional Networks. CoRR Deyu Bo, Xiao Wang, Chuan Shi, Huawei Shen
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`	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	A	`conf`	Learning Content and Context with Language Bias for Visual Question Answering. ICME Chao Yang, Su Feng, Dongsheng Li, Huawei Shen, Guoqing Wang, Bin Jiang
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	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`	Multi-Modality Image Manipulation Detection. ICME Chao Yang, Zhiyu Wang, Huawei Shen, Huizhou Li, Bin Jiang
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	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	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	—	`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`	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	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	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	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`	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	A	`conf`	Dual Rejection Sampling for Wasserstein Auto-Encoders. ECAI Liang Hou, Huawei Shen, 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	—	`conf`	GraphWGAN: Graph Representation Learning with Wasserstein Generative Adversarial Networks. BigComp Rong Yan, Huawei Shen, Qi Cao, Keting Cen, Li Wang
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`	IEEE Access Special Section Editorial: Advanced Data Mining Methods for Social Computing. IEEE Access Yongqiang Zhao, Shirui Pan, Jia Wu, Huaiyu Wan, Huizhi Liang, Haishuai Wang, Huawei Shen
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	J	`jnl`	Learning content and context with language bias for Visual Question Answering. CoRR Chao Yang, Su Feng, Dongsheng Li, Huawei Shen, Guoqing Wang, Bin Jiang
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	J	`jnl`	PPGN: Phrase-Guided Proposal Generation Network For Referring Expression Comprehension. CoRR Chao Yang, Guoqing Wang, Dongsheng Li, Huawei Shen, Su Feng, Bin Jiang
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	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	J	`jnl`	Summarizing graphs using the configuration model. CoRR Houquan Zhou, Shenghua Liu, Kyuhan Lee, Kijung Shin, Huawei Shen, 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`	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	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	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`	GRLA 2019: The first International Workshop on Graph Representation Learning and its Applications. CIKM Huawei Shen, Jian Tang, Peng Bao
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`	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	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	—	`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`	Temporal Convolutional Networks for Popularity Prediction of Messages on Social Medias. CCIR Jiangli Shao, Huawei Shen, Qi Cao, Xueqi Cheng
2019	J	`jnl`	Towards early identification of online rumors based on long short-term memory networks. Inf. Process. Manag. Yahui Liu, Xiaolong Jin, Huawei Shen
2019	A*	`conf`	Unified Collaborative Filtering over Graph Embeddings. SIGIR Pengfei Wang, Hanxiong Chen, Yadong Zhu, Huawei Shen, Yongfeng Zhang
2019	J	`jnl`	User Profiling for CSDN: Keyphrase Extraction, User Tagging and User Growth Value Prediction: First-place Entry for User Profiling Technology Evaluation Campaign in SMP Cup 2017. Data Intell. Guoliang Xing, Hao Gao, Qi Cao, Xinyu Yue, Bingbing Xu, Keting Cen, Huawei Shen
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	A*	`conf`	Exploiting POI-Specific Geographical Influence for Point-of-Interest Recommendation. IJCAI Hao Wang, Huawei Shen, Wentao Ouyang, Xueqi Cheng
2018	—	`conf`	Finding High-Quality Unstructured Submissions in General Crowdsourcing Tasks. CCIR Shanshan Lyu, Wentao Ouyang, Huawei Shen, 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	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	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	A*	`conf`	Cascade Dynamics Modeling with Attention-based Recurrent Neural Network. IJCAI Yongqing Wang, Huawei Shen, Shenghua Liu, Jinhua Gao, Xueqi Cheng
2017	A*	`conf`	Cross-Domain Recommendation: An Embedding and Mapping Approach. IJCAI Tong Man, Huawei Shen, Xiaolong Jin, Xueqi Cheng
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	—	`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	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	A*	`conf`	Learning Concise Representations of Users' Influences through Online Behaviors. IJCAI Shenghua Liu, Houdong Zheng, Huawei Shen, Xueqi Cheng, Xiangwen Liao
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	—	`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	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	A	`conf`	Truth Discovery by Claim and Source Embedding. CIKM Shanshan Lyu, Wentao Ouyang, Huawei Shen, 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	—	`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	—	`conf`	Modeling and Predicting Retweeting Dynamics via a Mixture Process. WWW (Companion Volume) Jinhua Gao, Huawei Shen, Shenghua Liu, 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	J	`jnl`	Scientific credit diffusion: Researcher level or paper level? Scientometrics Hao Wang, Huawei Shen, Xueqi Cheng
2015	—	`ed.`	Computational Social Networks - 4th International Conference, CSoNet 2015, Beijing, China, August 4-6, 2015, Proceedings CSoNet My T. Thai, Nam P. Nguyen, Huawei Shen
2015	A	`conf`	Context-Adaptive Matrix Factorization for Multi-Context Recommendation. CIKM Tong Man, Huawei Shen, Junming Huang, Xueqi Cheng
2015	—	`conf`	Improve Network Clustering via Diversified Ranking. CSoNet Bing-Jie Sun, Huawei Shen, 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`	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
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	J	`jnl`	Prediction of "Forwarding Whom" Behavior in Information Diffusion. CoRR Peng Bao, Huawei Shen, 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	J	`jnl`	Cumulative Effect in Information Diffusion: A Comprehensive Empirical Study on Microblogging Network. CoRR Peng Bao, Huawei Shen, Wei Chen, Xueqi Cheng
2013	J	`jnl`	Learning influence and susceptibility from information cascade. CoRR Yongqing Wang, Huawei Shen, Xueqi Cheng
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	A	`conf`	StaticGreedy: solving the scalability-accuracy dilemma in influence maximization. CIKM Suqi Cheng, Huawei Shen, Junming Huang, Guoqing Zhang, Xueqi Cheng
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`	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	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`	Exploring social influence via posterior effect of word-of-mouth recommendations. WSDM Junming Huang, Xueqi Cheng, Huawei Shen, Tao Zhou, Xiaolong Jin
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	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`	The Untold Story Behind the Recommendation in Micro-blogging Network. CGC Tong Man, Huawei Shen, Xueqi Cheng
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	A*	`conf`	A unified framework for recommending diverse and relevant queries. WWW Xiaofei Zhu, Jiafeng Guo, Xueqi Cheng, Pan Du, Huawei Shen
2011	J	`jnl`	Exploring the structural regularities in networks CoRR Huawei Shen, Xueqi Cheng, Jiafeng Guo
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
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`	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
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	J	`jnl`	Detect overlapping and hierarchical community structure in networks CoRR Huawei Shen, Xueqi Cheng, Kai Cai, Mao-Bin Hu
2008	—	`conf`	Research on Enterprise Track of TREC 2008. TREC Huawei Shen, Lei Wang, Wenjing Bi, Yue Liu, Xueqi Cheng
2007	—	`conf`	Research on Enterprise Track of TREC 2007. TREC Huawei Shen, Guoyao Chen, Haiqiang Chen, 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