Jun Xu - RankMe

327 papers A* 80A 43B 2C 1Misc 4Journal 155Unranked 41

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A survey of controllable learning: methods and applications in information retrieval. Frontiers Comput. Sci. Chenglei Shen, Xiao Zhang, Teng Shi, Changshuo Zhang, Guofu Xie, Jun Xu, Ming He, Jianping Fan
2026	J	`jnl`	Bringing Model Editing to Generative Recommendation in Cold-Start Scenarios. CoRR Chenglei Shen, Teng Shi, Weijie Yu, Xiao Zhang, Jun Xu
2026	A	`conf`	Counteracting the Delayed Conversions in OCPC with Survival Analysis. WSDM Leping Zhang, Chenxuan He, Xiao Zhang, Yichao Wang, Tengxiang Zhang, Zhenhua Dong, Jun Xu
2026	J	`jnl`	Deep Search with Hierarchical Meta-Cognitive Monitoring Inspired by Cognitive Neuroscience. CoRR Zhongxiang Sun, Qipeng Wang, Weijie Yu, Jingxuan Yang, Haolang Lu, Jun Xu
2026	—	`conf`	Economic Perspectives on Fairness in Information Retrieval. ECIR (4) Chen Xu, Clara Rus, Yuanna Liu, Marleen de Jonge, Jun Xu, Maarten de Rijke
2026	J	`jnl`	Efficient Paths and Dense Rewards: Probabilistic Flow Reasoning for Large Language Models. CoRR Yan Liu, Feng Zhang, Zhanyu Ma, Jun Xu, Jiuchong Gao, Jinghua Hao, Renqing He, Han Liu, Yangdong Deng
2026	J	`jnl`	Empowering open-domain LLMs for legal document correction via legal knowledge integration and decoding constraints. Inf. Process. Manag. Kepu Zhang, Weijie Yu, Zhongxiang Sun, Weicong Qin, Jun Xu, Ji-Rong Wen
2026	J	`jnl`	Enhancing Bandit Algorithms with LLMs for Time-varying User Preferences in Streaming Recommendations. ACM Trans. Inf. Syst. Chenglei Shen, Yi Zhan, Weijie Yu, Xiao Zhang, Jun Xu
2026	J	`jnl`	Fine-Mem: Fine-Grained Feedback Alignment for Long-Horizon Memory Management. CoRR Weitao Ma, Xiaocheng Feng, Lei Huang, Xiachong Feng, Zhanyu Ma, Jun Xu, Jiuchong Gao, Jinghua Hao, Renqing He, Bing Qin
2026	J	`jnl`	IBCB: Efficient Inverse Batched Contextual Bandit for Behavioral Evolution History. IEEE Trans. Pattern Anal. Mach. Intell. Yi Xu, Weiran Shen, Jun Xu, Xiao Zhang, Ji-Rong Wen
2026	J	`jnl`	LTS-VoiceAgent: A Listen-Think-Speak Framework for Efficient Streaming Voice Interaction via Semantic Triggering and Incremental Reasoning. CoRR Wenhao Zou, Yuwei Miao, Zhanyu Ma, Jun Xu, Jiuchong Gao, Jinghua Hao, Renqing He, Jingwen Xu
2026	J	`jnl`	MatchTIR: Fine-Grained Supervision for Tool-Integrated Reasoning via Bipartite Matching. CoRR Changle Qu, Sunhao Dai, Hengyi Cai, Jun Xu, Shuaiqiang Wang, Dawei Yin
2026	A*	`conf`	Room Matters: Dynamic Room-level Collaboration Information Modeling for Live Streaming Recommendation. WWW Ke Guo, Changle Qu, Xiao Zhang, Liqin Zhao, Shijun Wang, Yanan Niu, Jun Xu
2026	J	`jnl`	Silence the Judge: Reinforcement Learning with Self-Verifier via Latent Geometric Clustering. CoRR Nonghai Zhang, Weitao Ma, Zhanyu Ma, Jun Xu, Jiuchong Gao, Jinghua Hao, Renqing He, Jingwen Xu
2026	J	`jnl`	State Rank Dynamics in Linear Attention LLMs. CoRR Ao Sun, Hongtao Zhang, Heng Zhou, Yixuan Ma, Yiran Qin, Tongrui Su, Yan Liu, Zhanyu Ma, Jun Xu, Jiuchong Gao, Jinghua Hao, Renqing He
2026	A*	`conf`	Unveiling and Simulating Short-Video Addiction Behaviors via Economic Addiction Theory. WWW Chen Xu, Zhipeng Yi, Ruizi Wang, Wenjie Wang, Jun Xu, Maarten de Rijke
2026	J	`jnl`	Unveiling and Simulating Short-Video Addiction Behaviors via Economic Addiction Theory. CoRR Chen Xu, Zhipeng Yi, Ruizi Wang, Wenjie Wang, Jun Xu, Maarten de Rijke
2026	J	`jnl`	UserLM-R1: Modeling Human Reasoning in User Language Models with Multi-Reward Reinforcement Learning. CoRR Feng Zhang, Shijia Li, Chunmao Zhang, Zhanyu Ma, Jun Xu, Jiuchong Gao, Jinghua Hao, Renqing He, Jingwen Xu, Han Liu
2025	A*	`conf`	AdaO2B: Adaptive Online to Batch Conversion for Out-of-Distribution Generalization. AAAI Xiao Zhang, Sunhao Dai, Jun Xu, Yong Liu, Zhenhua Dong
2025	J	`jnl`	Adapting Constrained Markov Decision Process for OCPC Bidding with Delayed Conversions. ACM Trans. Inf. Syst. Leping Zhang, Xiao Zhang, Yichao Wang, Xuan Li, Zhenhua Dong, Jun Xu
2025	J	`jnl`	Balancing Stylization and Truth via Disentangled Representation Steering. CoRR Chenglei Shen, Zhongxiang Sun, Teng Shi, Xiao Zhang, Jun Xu
2025	A	`conf`	Benefit from Rich: Tackling Search Interaction Sparsity in Search Enhanced Recommendation. CIKM Teng Shi, Weijie Yu, Xiao Zhang, Ming He, Jianping Fan, Jun Xu
2025	J	`jnl`	Benefit from Rich: Tackling Search Interaction Sparsity in Search Enhanced Recommendation. CoRR Teng Shi, Weijie Yu, Xiao Zhang, Ming He, Jianping Fan, Jun Xu
2025	—	`conf`	Beyond Guilt: Legal Judgment Prediction with Trichotomous Reasoning. EMNLP (Findings) Kepu Zhang, Haoyue Yang, Xu Tang, Weijie Yu, Jun Xu
2025	A	`conf`	BordaRAG: Resolving Knowledge Conflict in Retrieval-Augmented Generation via Borda Voting Process. CIKM Yuxin Li, Chen Xu, Jun Xu, Ji-Rong Wen
2025	A*	`conf`	Bridging Jensen Gap for Max-Min Group Fairness Optimization in Recommendation. ICLR Chen Xu, Yuxin Li, Wenjie Wang, Liang Pang, Jun Xu, Tat-Seng Chua
2025	J	`jnl`	Bridging Jensen Gap for Max-Min Group Fairness Optimization in Recommendation. CoRR Chen Xu, Yuxin Li, Wenjie Wang, Liang Pang, Jun Xu, Tat-Seng Chua
2025	J	`jnl`	Bridging Search and Recommendation through Latent Cross Reasoning. CoRR Teng Shi, Weicong Qin, Weijie Yu, Xiao Zhang, Ming He, Jianping Fan, Jun Xu
2025	A*	`conf`	Bridging Short Videos and Streamers with Multi-Graph Contrastive Learning for Live Streaming Recommendation. SIGIR Changle Qu, Liqin Zhao, Yanan Niu, Xiao Zhang, Jun Xu
2025	J	`jnl`	CHOP: Mobile Operating Assistant with Constrained High-frequency Optimized Subtask Planning. CoRR Yuqi Zhou, Shuai Wang, Sunhao Dai, Qinglin Jia, Zhaocheng Du, Zhenhua Dong, Jun Xu
2025	—	`conf`	CitaLaw: Enhancing LLM with Citations in Legal Domain. ACL (Findings) Kepu Zhang, Weijie Yu, Sunhao Dai, Jun Xu
2025	J	`jnl`	CoreCodeBench: A Configurable Multi-Scenario Repository-Level Benchmark. CoRR Lingyue Fu, Hao Guan, Bolun Zhang, Haowei Yuan, Yaoming Zhu, Jun Xu, Zongyu Wang, Lin Qiu, Xunliang Cai, Xuezhi Cao, Weiwen Liu, Weinan Zhang, Yong Yu
2025	J	`jnl`	CreAgent: Towards Long-Term Evaluation of Recommender System under Platform-Creator Information Asymmetry. CoRR Xiaopeng Ye, Chen Xu, Zhongxiang Sun, Jun Xu, Gang Wang, Zhenhua Dong, Ji-Rong Wen
2025	J	`jnl`	Decoding Recommendation Behaviors of In-Context Learning LLMs Through Gradient Descent. CoRR Yi Xu, Weicong Qin, Weijie Yu, Ming He, Jianping Fan, Jun Xu
2025	A*	`conf`	Exploring the Escalation of Source Bias in User, Data, and Recommender System Feedback Loop. SIGIR Yuqi Zhou, Sunhao Dai, Liang Pang, Gang Wang, Zhenhua Dong, Jun Xu, Ji-Rong Wen
2025	J	`jnl`	FairDiverse: A Comprehensive Toolkit for Fair and Diverse Information Retrieval Algorithms. CoRR Chen Xu, Zhirui Deng, Clara Rus, Xiaopeng Ye, Yuanna Liu, Jun Xu, Zhicheng Dou, Ji-Rong Wen, Maarten de Rijke
2025	A*	`conf`	FairDiverse: A Comprehensive Toolkit for Fairness- and Diversity-aware Information Retrieval. SIGIR Chen Xu, Zhirui Deng, Clara Rus, Xiaopeng Ye, Yuanna Liu, Jun Xu, Zhicheng Dou, Ji-Rong Wen, Maarten de Rijke
2025	A*	`conf`	Fairness in Information Retrieval from an Economic Perspective. SIGIR Chen Xu, Clara Rus, Yuanna Liu, Marleen de Jonge, Jun Xu, Maarten de Rijke
2025	A*	`conf`	From Exploration to Mastery: Enabling LLMs to Master Tools via Self-Driven Interactions. ICLR Changle Qu, Sunhao Dai, Xiaochi Wei, Hengyi Cai, Shuaiqiang Wang, Dawei Yin, Jun Xu, Ji-Rong Wen
2025	J	`jnl`	GUI-G1: Understanding R1-Zero-Like Training for Visual Grounding in GUI Agents. CoRR Yuqi Zhou, Sunhao Dai, Shuai Wang, Kaiwen Zhou, Qinglin Jia, Jun Xu
2025	A	`conf`	GenSAR: Unifying Balanced Search and Recommendation with Generative Retrieval. RecSys Teng Shi, Jun Xu, Xiao Zhang, Xiaoxue Zang, Kai Zheng, Yang Song, Enyun Yu
2025	J	`jnl`	Inference Computation Scaling for Feature Augmentation in Recommendation Systems. CoRR Weihao Liu, Zhaocheng Du, Haiyuan Zhao, Wenbo Zhang, Xiaoyan Zhao, Gang Wang, Zhenhua Dong, Jun Xu
2025	J	`jnl`	KuaiLive: A Real-time Interactive Dataset for Live Streaming Recommendation. CoRR Changle Qu, Sunhao Dai, Ke Guo, Liqin Zhao, Yanan Niu, Xiao Zhang, Jun Xu
2025	A*	`conf`	LLM-Empowered Creator Simulation for Long-Term Evaluation of Recommender Systems Under Information Asymmetry. SIGIR Xiaopeng Ye, Chen Xu, Zhongxiang Sun, Jun Xu, Gang Wang, Zhenhua Dong, Ji-Rong Wen
2025	J	`jnl`	LLaDA-Rec: Discrete Diffusion for Parallel Semantic ID Generation in Generative Recommendation. CoRR Teng Shi, Chenglei Shen, Weijie Yu, Shen Nie, Chongxuan Li, Xiao Zhang, Ming He, Yan Han, Jun Xu
2025	J	`jnl`	LTP-MMF: Toward Long-Term Provider Max-Min Fairness under Recommendation Feedback Loops. ACM Trans. Inf. Syst. Chen Xu, Xiaopeng Ye, Jun Xu, Xiao Zhang, Weiran Shen, Ji-Rong Wen
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	A*	`conf`	LargePiG for Hallucination-Free Query Generation: Your Large Language Model is Secretly a Pointer Generator. WWW Zhongxiang Sun, Zihua Si, Xiaoxue Zang, Kai Zheng, Yang Song, Xiao Zhang, Jun Xu
2025	—	`conf`	Legal Mathematical Reasoning with LLMs: Procedural Alignment through Two-Stage Reinforcement Learning. EMNLP (Findings) Kepu Zhang, Guofu Xie, Weijie Yu, Mingyue Xu, Xu Tang, Yaxin Li, Jun Xu
2025	—	`conf`	Length-Induced Embedding Collapse in PLM-based Models. ACL (1) Yuqi Zhou, Sunhao Dai, Zhanshuo Cao, Xiao Zhang, Jun Xu
2025	J	`jnl`	LexPam: Legal Procedure Awareness-Guided Mathematical Reasoning. CoRR Kepu Zhang, Guofu Xie, Weijie Yu, Mingyue Xu, Xu Tang, Yaxin Li, Jun Xu
2025	—	`conf`	MAPS: Motivation-Aware Personalized Search via LLM-Driven Consultation Alignment. ACL (1) Weicong Qin, Yi Xu, Weijie Yu, Chenglei Shen, Ming He, Jianping Fan, Xiao Zhang, Jun Xu
2025	J	`jnl`	MAPS: Motivation-Aware Personalized Search via LLM-Driven Consultation Alignment. CoRR Weicong Qin, Yi Xu, Weijie Yu, Chenglei Shen, Ming He, Jianping Fan, Xiao Zhang, Jun Xu
2025	A*	`conf`	Media Source Matters More Than Content: Unveiling Political Bias in LLM-Generated Citations. EMNLP Sunhao Dai, Zhanshuo Cao, Wenjie Wang, Liang Pang, Jun Xu, See-Kiong Ng, Tat-Seng Chua
2025	A*	`conf`	Mitigating Source Bias with LLM Alignment. SIGIR Sunhao Dai, Yuqi Zhou, Liang Pang, Zhuoyang Li, Zhaocheng Du, Gang Wang, Jun Xu
2025	A	`conf`	MoRE: A Mixture of Reflectors Framework for Large Language Model-Based Sequential Recommendation. RecSys Weicong Qin, Yi Xu, Weijie Yu, Chenglei Shen, Xiao Zhang, Ming He, Jianping Fan, Jun Xu
2025	A*	`conf`	NExT-Search: Rebuilding User Feedback Ecosystem for Generative AI Search. SIGIR Sunhao Dai, Wenjie Wang, Liang Pang, Jun Xu, See-Kiong Ng, Ji-Rong Wen, Tat-Seng Chua
2025	J	`jnl`	NExT-Search: Rebuilding User Feedback Ecosystem for Generative AI Search. CoRR Sunhao Dai, Wenjie Wang, Liang Pang, Jun Xu, See-Kiong Ng, Ji-Rong Wen, Tat-Seng Chua
2025	J	`jnl`	OnePiece: Bringing Context Engineering and Reasoning to Industrial Cascade Ranking System. CoRR Sunhao Dai, Jiakai Tang, Jiahua Wu, Kun Wang, Yuxuan Zhu, Bingjun Chen, Bangyang Hong, Yu Zhao, Cong Fu, Kangle Wu, Yabo Ni, Anxiang Zeng, Wenjie Wang, Xu Chen, Jun Xu, See-Kiong Ng
2025	J	`jnl`	OutboundEval: A Dual-Dimensional Benchmark for Expert-Level Intelligent Outbound Evaluation of Xbench's Professional-Aligned Series. CoRR Pengyu Xu, Shijia Li, Ao Sun, Feng Zhang, Yahan Li, Bo Wu, Zhanyu Ma, Jiguo Li, Jun Xu, Jiuchong Gao, Jinghua Hao, Renqing He, Rui Wang, Yang Liu, Xiaobo Hu, Fan Yang, Jia Zheng, Guanghua Yao
2025	A*	`conf`	Perplexity Trap: PLM-Based Retrievers Overrate Low Perplexity Documents. ICLR Haoyu Wang, Sunhao Dai, Haiyuan Zhao, Liang Pang, Xiao Zhang, Gang Wang, Zhenhua Dong, Jun Xu, Ji-Rong Wen
2025	J	`jnl`	Perplexity Trap: PLM-Based Retrievers Overrate Low Perplexity Documents. CoRR Haoyu Wang, Sunhao Dai, Haiyuan Zhao, Liang Pang, Xiao Zhang, Gang Wang, Zhenhua Dong, Jun Xu, Ji-Rong Wen
2025	A	`conf`	PrLM: Learning Explicit Reasoning for Personalized RAG via Contrastive Reward Optimization. CIKM Kepu Zhang, Teng Shi, Weijie Yu, Jun Xu
2025	J	`jnl`	PrLM: Learning Explicit Reasoning for Personalized RAG via Contrastive Reward Optimization. CoRR Kepu Zhang, Teng Shi, Weijie Yu, Jun Xu
2025	—	`conf`	Q-PRM: Adaptive Query Rewriting for Retrieval-Augmented Generation via Step-level Process Supervision. EMNLP (Findings) Xiaopeng Ye, Chen Xu, Chaoliang Zhang, Zhaocheng Du, Jun Xu, Gang Wang, Zhenhua Dong
2025	J	`jnl`	QE-RAG: A Robust Retrieval-Augmented Generation Benchmark for Query Entry Errors. CoRR Kepu Zhang, Zhongxiang Sun, Weijie Yu, Xiaoxue Zang, Kai Zheng, Yang Song, Han Li, Jun Xu
2025	A*	`conf`	ReARTeR: Retrieval-Augmented Reasoning with Trustworthy Process Rewarding. SIGIR Zhongxiang Sun, Qipeng Wang, Weijie Yu, Xiaoxue Zang, Kai Zheng, Jun Xu, Xiao Zhang, Yang Song, Han Li
2025	J	`jnl`	ReARTeR: Retrieval-Augmented Reasoning with Trustworthy Process Rewarding. CoRR Zhongxiang Sun, Qipeng Wang, Weijie Yu, Xiaoxue Zang, Kai Zheng, Jun Xu, Xiao Zhang, Yang Song, Han Li
2025	A*	`conf`	ReDeEP: Detecting Hallucination in Retrieval-Augmented Generation via Mechanistic Interpretability. ICLR Zhongxiang Sun, Xiaoxue Zang, Kai Zheng, Jun Xu, Xiao Zhang, Weijie Yu, Yang Song, Han Li
2025	J	`jnl`	Regret-aware Re-ranking for Guaranteeing Two-sided Fairness and Accuracy in Recommender Systems. CoRR Xiaopeng Ye, Chen Xu, Jun Xu, Xuyang Xie, Gang Wang, Zhenhua Dong
2025	A*	`conf`	Retrieval Augmented Generation with Collaborative Filtering for Personalized Text Generation. SIGIR Teng Shi, Jun Xu, Xiao Zhang, Xiaoxue Zang, Kai Zheng, Yang Song, Han Li
2025	J	`jnl`	Retrieval Augmented Generation with Collaborative Filtering for Personalized Text Generation. CoRR Teng Shi, Jun Xu, Xiao Zhang, Xiaoxue Zang, Kai Zheng, Yang Song, Han Li
2025	J	`jnl`	Similarity = Value? Consultation Value Assessment and Alignment for Personalized Search. CoRR Weicong Qin, Yi Xu, Weijie Yu, Teng Shi, Chenglei Shen, Ming He, Jianping Fan, Xiao Zhang, Jun Xu
2025	A*	`conf`	Similarity = Value? Consultation Value-Assessment and Alignment for Personalized Search. EMNLP Weicong Qin, Yi Xu, Weijie Yu, Teng Shi, Chenglei Shen, Ming He, Jianping Fan, Xiao Zhang, Jun Xu
2025	A	`conf`	SyLeR: A Framework for Explicit Syllogistic Legal Reasoning in Large Language Models. CIKM Kepu Zhang, Weijie Yu, Zhongxiang Sun, Jun Xu
2025	J	`jnl`	SyLeR: A Framework for Explicit Syllogistic Legal Reasoning in Large Language Models. CoRR Kepu Zhang, Weijie Yu, Zhongxiang Sun, Jun Xu
2025	J	`jnl`	Test-Time Alignment for Tracking User Interest Shifts in Sequential Recommendation. CoRR Changshuo Zhang, Xiao Zhang, Teng Shi, Jun Xu, Ji-Rong Wen
2025	A	`conf`	Test-Time Alignment with State Space Model for Tracking User Interest Shifts in Sequential Recommendation. RecSys Changshuo Zhang, Xiao Zhang, Teng Shi, Jun Xu, Ji-Rong Wen
2025	J	`jnl`	Think Before Recommend: Unleashing the Latent Reasoning Power for Sequential Recommendation. CoRR Jiakai Tang, Sunhao Dai, Teng Shi, Jun Xu, Xu Chen, Wen Chen, Wu Jian, Yuning Jiang
2025	J	`jnl`	Tool learning with large language models: a survey. Frontiers Comput. Sci. Changle Qu, Sunhao Dai, Xiaochi Wei, Hengyi Cai, Shuaiqiang Wang, Dawei Yin, Jun Xu, Ji-Rong Wen
2025	—	`conf`	Towards Effective and Efficient Continual Pre-training of Large Language Models. ACL (1) Jie Chen, Zhipeng Chen, Jiapeng Wang, Kun Zhou, Yutao Zhu, Jinhao Jiang, Yingqian Min, Xin Zhao, Zhicheng Dou, Jiaxin Mao, Yankai Lin, Ruihua Song, Jun Xu, Xu Chen, Rui Yan, Zhewei Wei, Di Hu, Wenbing Huang, Ji-Rong Wen
2025	J	`jnl`	Towards Long-Term User Welfare in Recommender Systems via Creator-Oriented Information Revelation. CoRR Xu Zhao, Xiaopeng Ye, Chen Xu, Weiran Shen, Jun Xu
2025	A*	`conf`	Trigger3: Refining Query Correction via Adaptive Model Selector. AAAI Kepu Zhang, Zhongxiang Sun, Xiao Zhang, Xiaoxue Zang, Kai Zheng, Yang Song, Jun Xu
2025	—	`conf`	Trustworthy Information Retrieval in the LLM Era: Bias, Unfairness, and Hallucination. SIGIR-AP Sunhao Dai, Chen Xu, Shicheng Xu, Zhongxiang Sun, Liang Pang, Zhenhua Dong, Jun Xu
2025	J	`jnl`	Uncertainty-aware evidential learning for legal case retrieval with noisy correspondence. Inf. Sci. Weicong Qin, Weijie Yu, Kepu Zhang, Haiyuan Zhao, Jun Xu, Ji-Rong Wen
2025	A*	`conf`	Understanding Accuracy-Fairness Trade-offs in Re-ranking through Elasticity in Economics. SIGIR Chen Xu, Jujia Zhao, Wenjie Wang, Liang Pang, Jun Xu, Tat-Seng Chua, Maarten de Rijke
2025	J	`jnl`	Understanding Accuracy-Fairness Trade-offs in Re-ranking through Elasticity in Economics. CoRR Chen Xu, Jujia Zhao, Wenjie Wang, Liang Pang, Jun Xu, Tat-Seng Chua, Maarten de Rijke
2025	J	`jnl`	Unified Generative Search and Recommendation. CoRR Teng Shi, Jun Xu, Xiao Zhang, Xiaoxue Zang, Kai Zheng, Yang Song, Enyun Yu
2025	A	`conf`	Unifying Bias and Unfairness in Information Retrieval: New Challenges in the LLM Era. WSDM Sunhao Dai, Chen Xu, Shicheng Xu, Liang Pang, Zhenhua Dong, Jun Xu
2025	—	`conf`	Uplift-RAG: Uplift-Driven Knowledge Preference Alignment for Retrieval-Augmented Generation. EMNLP (Findings) Changle Qu, Sunhao Dai, Hengyi Cai, Yiyang Cheng, Jun Xu, Shuaiqiang Wang, Dawei Yin
2025	J	`jnl`	User Behavior Simulation with Large Language Model-based Agents. ACM Trans. Inf. Syst. Lei Wang, Jingsen Zhang, Hao Yang, Zhiyuan Chen, Jiakai Tang, Zeyu Zhang, Xu Chen, Yankai Lin, Hao Sun, Ruihua Song, Xin Zhao, Jun Xu, Zhicheng Dou, Jun Wang, Ji-Rong Wen
2024	—	`conf`	A Study of Implicit Ranking Unfairness in Large Language Models. EMNLP (Findings) Chen Xu, Wenjie Wang, Yuxin Li, Liang Pang, Jun Xu, Tat-Seng Chua
2024	J	`jnl`	A Survey of Controllable Learning: Methods and Applications in Information Retrieval. CoRR Chenglei Shen, Xiao Zhang, Teng Shi, Changshuo Zhang, Guofu Xie, Jun Xu
2024	A*	`conf`	A Taxation Perspective for Fair Re-ranking. SIGIR Chen Xu, Xiaopeng Ye, Wenjie Wang, Liang Pang, Jun Xu, Tat-Seng Chua
2024	J	`jnl`	A Taxation Perspective for Fair Re-ranking. CoRR Chen Xu, Xiaopeng Ye, Wenjie Wang, Liang Pang, Jun Xu, Tat-Seng Chua
2024	J	`jnl`	BankFair: Balancing Accuracy and Fairness under Varying User Traffic in Recommender System. CoRR Xiaopeng Ye, Chen Xu, Jun Xu, Xuyang Xie, Gang Wang, Zhenhua Dong
2024	J	`jnl`	Beyond Guilt: Legal Judgment Prediction with Trichotomous Reasoning. CoRR Kepu Zhang, Haoyue Yang, Xu Tang, Weijie Yu, Jun Xu
2024	A*	`conf`	Bias and Unfairness in Information Retrieval Systems: New Challenges in the LLM Era. KDD Sunhao Dai, Chen Xu, Shicheng Xu, Liang Pang, Zhenhua Dong, Jun Xu
2024	J	`jnl`	COLT: Towards Completeness-Oriented Tool Retrieval for Large Language Models. CoRR Changle Qu, Sunhao Dai, Xiaochi Wei, Hengyi Cai, Shuaiqiang Wang, Dawei Yin, Jun Xu, Ji-Rong Wen
2024	J	`jnl`	CitaLaw: Enhancing LLM with Citations in Legal Domain. CoRR Kepu Zhang, Weijie Yu, Sunhao Dai, Jun Xu
2024	—	`conf`	Cocktail: A Comprehensive Information Retrieval Benchmark with LLM-Generated Documents Integration. ACL (Findings) Sunhao Dai, Weihao Liu, Yuqi Zhou, Liang Pang, Rongju Ruan, Gang Wang, Zhenhua Dong, Jun Xu, Ji-Rong Wen
2024	J	`jnl`	Cocktail: A Comprehensive Information Retrieval Benchmark with LLM-Generated Documents Integration. CoRR Sunhao Dai, Weihao Liu, Yuqi Zhou, Liang Pang, Rongju Ruan, Gang Wang, Zhenhua Dong, Jun Xu, Ji-Rong Wen
2024	A*	`conf`	Counteracting Duration Bias in Video Recommendation via Counterfactual Watch Time. KDD Haiyuan Zhao, Guohao Cai, Jieming Zhu, Zhenhua Dong, Jun Xu, Ji-Rong Wen
2024	J	`jnl`	Counteracting Duration Bias in Video Recommendation via Counterfactual Watch Time. CoRR Haiyuan Zhao, Guohao Cai, Jieming Zhu, Zhenhua Dong, Jun Xu, Ji-Rong Wen
2024	A	`conf`	Do Not Wait: Learning Re-Ranking Model Without User Feedback At Serving Time in E-Commerce. RecSys Yuan Wang, Zhiyu Li, Changshuo Zhang, Sirui Chen, Xiao Zhang, Jun Xu, Quan Lin
2024	J	`jnl`	Do Not Wait: Learning Re-Ranking Model Without User Feedback At Serving Time in E-Commerce. CoRR Yuan Wang, Zhiyu Li, Changshuo Zhang, Sirui Chen, Xiao Zhang, Jun Xu, Quan Lin
2024	—	`conf`	Effective In-Context Example Selection through Data Compression. ACL (Findings) Zhongxiang Sun, Kepu Zhang, Haoyu Wang, Xiao Zhang, Jun Xu
2024	J	`jnl`	Effective In-Context Example Selection through Data Compression. CoRR Zhongxiang Sun, Kepu Zhang, Haoyu Wang, Xiao Zhang, Jun Xu
2024	J	`jnl`	Enhancing Sequential Recommendations through Multi-Perspective Reflections and Iteration. CoRR Weicong Qin, Yi Xu, Weijie Yu, Chenglei Shen, Xiao Zhang, Ming He, Jianping Fan, Jun Xu
2024	J	`jnl`	Explainable Legal Case Matching via Graph Optimal Transport. IEEE Trans. Knowl. Data Eng. Zhongxiang Sun, Weijie Yu, Zihua Si, Jun Xu, Zhenhua Dong, Xu Chen, Hongteng Xu, Ji-Rong Wen
2024	A*	`conf`	Explicitly Integrating Judgment Prediction with Legal Document Retrieval: A Law-Guided Generative Approach. SIGIR Weicong Qin, Zelin Cao, Weijie Yu, Zihua Si, Sirui Chen, Jun Xu
2024	A*	`conf`	FairSync: Ensuring Amortized Group Exposure in Distributed Recommendation Retrieval. WWW Chen Xu, Jun Xu, Yiming Ding, Xiao Zhang, Qi Qi
2024	J	`jnl`	FairSync: Ensuring Amortized Group Exposure in Distributed Recommendation Retrieval. CoRR Chen Xu, Jun Xu, Yiming Ding, Xiao Zhang, Qi Qi
2024	J	`jnl`	From Exploration to Mastery: Enabling LLMs to Master Tools via Self-Driven Interactions. CoRR Changle Qu, Sunhao Dai, Xiaochi Wei, Hengyi Cai, Shuaiqiang Wang, Dawei Yin, Jun Xu, Ji-Rong Wen
2024	—	`conf`	Generative Retrieval with Semantic Tree-Structured Identifiers and Contrastive Learning. SIGIR-AP Zihua Si, Zhongxiang Sun, JiaLe Chen, Guozhang Chen, Xiaoxue Zang, Kai Zheng, Yang Song, Xiao Zhang, Jun Xu, Kun Gai
2024	A	`conf`	Guaranteeing Accuracy and Fairness under Fluctuating User Traffic: A Bankruptcy-Inspired Re-ranking Approach. CIKM Xiaopeng Ye, Chen Xu, Jun Xu, Xuyang Xie, Gang Wang, Zhenhua Dong
2024	J	`jnl`	IBCB: Efficient Inverse Batched Contextual Bandit for Behavioral Evolution History. CoRR Yi Xu, Weiran Shen, Xiao Zhang, Jun Xu
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	A	`conf`	Large Language Models Enhanced Collaborative Filtering. CIKM Zhongxiang Sun, Zihua Si, Xiaoxue Zang, Kai Zheng, Yang Song, Xiao Zhang, Jun Xu
2024	J	`jnl`	Large Language Models Enhanced Collaborative Filtering. CoRR Zhongxiang Sun, Zihua Si, Xiaoxue Zang, Kai Zheng, Yang Song, Xiao Zhang, Jun Xu
2024	J	`jnl`	LargePiG: Your Large Language Model is Secretly a Pointer Generator. CoRR Zhongxiang Sun, Zihua Si, Xiaoxue Zang, Kai Zheng, Yang Song, Xiao Zhang, Jun Xu
2024	J	`jnl`	Length-Induced Embedding Collapse in Transformer-based Models. CoRR Yuqi Zhou, Sunhao Dai, Zhanshuo Cao, Xiao Zhang, Jun Xu
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	—	`conf`	Logic Rules as Explanations for Legal Case Retrieval. LREC/COLING Zhongxiang Sun, Kepu Zhang, Weijie Yu, Haoyu Wang, Jun Xu
2024	J	`jnl`	Logic Rules as Explanations for Legal Case Retrieval. CoRR Zhongxiang Sun, Kepu Zhang, Weijie Yu, Haoyu Wang, Jun Xu
2024	J	`jnl`	Model-Agnostic Causal Embedding Learning for Counterfactually Group-Fair Recommendation. IEEE Trans. Knowl. Data Eng. Xiao Zhang, Teng Shi, Jun Xu, Zhenhua Dong, Ji-Rong Wen
2024	J	`jnl`	Modeling Domain and Feedback Transitions for Cross-Domain Sequential Recommendation. CoRR Changshuo Zhang, Teng Shi, Xiao Zhang, Qi Liu, Ruobing Xie, Jun Xu, Ji-Rong Wen
2024	A*	`conf`	Modeling User Attention in Music Recommendation. ICDE Sunhao Dai, Ninglu Shao, Jieming Zhu, Xiao Zhang, Zhenhua Dong, Jun Xu, Quanyu Dai, Ji-Rong Wen
2024	A*	`conf`	Neural Retrievers are Biased Towards LLM-Generated Content. KDD Sunhao Dai, Yuqi Zhou, Liang Pang, Weihao Liu, Xiaolin Hu, Yong Liu, Xiao Zhang, Gang Wang, Jun Xu
2024	J	`jnl`	On the Decision-Making Abilities in Role-Playing using Large Language Models. CoRR Chenglei Shen, Guofu Xie, Xiao Zhang, Jun Xu
2024	J	`jnl`	QAGCF: Graph Collaborative Filtering for Q&A Recommendation. CoRR Changshuo Zhang, Teng Shi, Xiao Zhang, Yanping Zheng, Ruobing Xie, Qi Liu, Jun Xu, Ji-Rong Wen
2024	A*	`conf`	ReCODE: Modeling Repeat Consumption with Neural ODE. SIGIR Sunhao Dai, Changle Qu, Sirui Chen, Xiao Zhang, Jun Xu
2024	J	`jnl`	ReCODE: Modeling Repeat Consumption with Neural ODE. CoRR Sunhao Dai, Changle Qu, Sirui Chen, Xiao Zhang, Jun Xu
2024	J	`jnl`	ReDeEP: Detecting Hallucination in Retrieval-Augmented Generation via Mechanistic Interpretability. CoRR Zhongxiang Sun, Xiaoxue Zang, Kai Zheng, Yang Song, Jun Xu, Xiao Zhang, Weijie Yu, Han Li
2024	A*	`conf`	Reinforcing Long-Term Performance in Recommender Systems with User-Oriented Exploration Policy. SIGIR Changshuo Zhang, Sirui Chen, Xiao Zhang, Sunhao Dai, Weijie Yu, Jun Xu
2024	A*	`conf`	Revisiting Reciprocal Recommender Systems: Metrics, Formulation, and Method. KDD Chen Yang, Sunhao Dai, Yupeng Hou, Wayne Xin Zhao, Jun Xu, Yang Song, Hengshu Zhu
2024	J	`jnl`	Revisiting Reciprocal Recommender Systems: Metrics, Formulation, and Method. CoRR Chen Yang, Sunhao Dai, Yupeng Hou, Wayne Xin Zhao, Jun Xu, Yang Song, Hengshu Zhu
2024	A	`conf`	SAQRec: Aligning Recommender Systems to User Satisfaction via Questionnaire Feedback. CIKM Kepu Zhang, Teng Shi, Sunhao Dai, Xiao Zhang, Yinfeng Li, Jing Lu, Xiaoxue Zang, Yang Song, Jun Xu
2024	Misc	`conf`	Smooth Start: A Unified Approach for Gradual Transition from Cold to Old in Recommender Systems. ICASSP Jianwen Yang, Xiao Zhang, Jun Xu
2024	J	`jnl`	Source Echo Chamber: Exploring the Escalation of Source Bias in User, Data, and Recommender System Feedback Loop. CoRR Yuqi Zhou, Sunhao Dai, Liang Pang, Gang Wang, Zhenhua Dong, Jun Xu, Ji-Rong Wen
2024	J	`jnl`	Syntactic-Informed Graph Networks for Sentence Matching. ACM Trans. Inf. Syst. Chen Xu, Jun Xu, Zhenhua Dong, Ji-Rong Wen
2024	A*	`conf`	To Search or to Recommend: Predicting Open-App Motivation with Neural Hawkes Process. SIGIR Zhongxiang Sun, Zihua Si, Xiao Zhang, Xiaoxue Zang, Yang Song, Hongteng Xu, Jun Xu
2024	J	`jnl`	To Search or to Recommend: Predicting Open-App Motivation with Neural Hawkes Process. CoRR Zhongxiang Sun, Zihua Si, Xiao Zhang, Xiaoxue Zang, Yang Song, Hongteng Xu, Jun Xu
2024	J	`jnl`	Tool Learning with Large Language Models: A Survey. CoRR Changle Qu, Sunhao Dai, Xiaochi Wei, Hengyi Cai, Shuaiqiang Wang, Dawei Yin, Jun Xu, Ji-Rong Wen
2024	A	`conf`	Towards Completeness-Oriented Tool Retrieval for Large Language Models. CIKM Changle Qu, Sunhao Dai, Xiaochi Wei, Hengyi Cai, Shuaiqiang Wang, Dawei Yin, Jun Xu, Ji-Rong Wen
2024	J	`jnl`	Towards Effective and Efficient Continual Pre-training of Large Language Models. CoRR Jie Chen, Zhipeng Chen, Jiapeng Wang, Kun Zhou, Yutao Zhu, Jinhao Jiang, Yingqian Min, Wayne Xin Zhao, Zhicheng Dou, Jiaxin Mao, Yankai Lin, Ruihua Song, Jun Xu, Xu Chen, Rui Yan, Zhewei Wei, Di Hu, Wenbing Huang, Ji-Rong Wen
2024	A*	`conf`	Towards Robust Recommendation via Decision Boundary-aware Graph Contrastive Learning. KDD Jiakai Tang, Sunhao Dai, Zexu Sun, Xu Chen, Jun Xu, Wenhui Yu, Lantao Hu, Peng Jiang, Han Li
2024	J	`jnl`	Towards Robust Recommendation via Decision Boundary-aware Graph Contrastive Learning. CoRR Jiakai Tang, Sunhao Dai, Zexu Sun, Xu Chen, Jun Xu, Wenhui Yu, Lantao Hu, Peng Jiang, Han Li
2024	J	`jnl`	Trigger CoRR Kepu Zhang, Zhongxiang Sun, Xiao Zhang, Xiaoxue Zang, Kai Zheng, Yang Song, Jun Xu
2024	J	`jnl`	UOEP: User-Oriented Exploration Policy for Enhancing Long-Term User Experiences in Recommender Systems. CoRR Changshuo Zhang, Sirui Chen, Xiao Zhang, Sunhao Dai, Weijie Yu, Jun Xu
2024	A*	`conf`	UniSAR: Modeling User Transition Behaviors between Search and Recommendation. SIGIR Teng Shi, Zihua Si, Jun Xu, Xiao Zhang, Xiaoxue Zang, Kai Zheng, Dewei Leng, Yanan Niu, Yang Song
2024	J	`jnl`	UniSAR: Modeling User Transition Behaviors between Search and Recommendation. CoRR Teng Shi, Zihua Si, Jun Xu, Xiao Zhang, Xiaoxue Zang, Kai Zheng, Dewei Leng, Yanan Niu, Yang Song
2024	J	`jnl`	Unifying Bias and Unfairness in Information Retrieval: A Survey of Challenges and Opportunities with Large Language Models. CoRR Sunhao Dai, Chen Xu, Shicheng Xu, Liang Pang, Zhenhua Dong, Jun Xu
2024	J	`jnl`	YuLan: An Open-source Large Language Model. CoRR Yutao Zhu, Kun Zhou, Kelong Mao, Wentong Chen, Yiding Sun, Zhipeng Chen, Qian Cao, Yihan Wu, Yushuo Chen, Feng Wang, Lei Zhang, Junyi Li, Xiaolei Wang, Lei Wang, Beichen Zhang, Zican Dong, Xiaoxue Cheng, Yuhan Chen, Xinyu Tang, Yupeng Hou, Qiangqiang Ren, Xincheng Pang, Shufang Xie, Wayne Xin Zhao, Zhicheng Dou, Jiaxin Mao, Yankai Lin, Ruihua Song, Jun Xu, Xu Chen, Rui Yan, Zhewei Wei, Di Hu, Wenbing Huang, Ze-Feng Gao, Yueguo Chen, Weizheng Lu, Ji-Rong Wen
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	A	`conf`	Conditional counterfactual causal effect for individual attribution. UAI Ruiqi Zhao, Lei Zhang, Shengyu Zhu, Zitong Lu, Zhenhua Dong, Chaoliang Zhang, Jun Xu, Zhi Geng, Yangbo He
2023	A*	`conf`	Controllable Multi-Objective Re-ranking with Policy Hypernetworks. KDD Sirui Chen, Yuan Wang, Zijing Wen, Zhiyu Li, Changshuo Zhang, Xiao Zhang, Quan Lin, Cheng Zhu, Jun Xu
2023	J	`jnl`	Controllable Multi-Objective Re-ranking with Policy Hypernetworks. CoRR Sirui Chen, Yuan Wang, Zijing Wen, Zhiyu Li, Changshuo Zhang, Quan Lin, Cheng Zhu, Jun Xu
2023	J	`jnl`	Do LLMs Implicitly Exhibit User Discrimination in Recommendation? An Empirical Study. CoRR Chen Xu, Wenjie Wang, Yuxin Li, Liang Pang, Jun Xu, Tat-Seng Chua
2023	A	`conf`	Dually Enhanced Delayed Feedback Modeling for Streaming Conversion Rate Prediction. CIKM Sunhao Dai, Yuqi Zhou, Jun Xu, Ji-Rong Wen
2023	J	`jnl`	Dually Enhanced Propensity Score Estimation in Sequential Recommendation. CoRR Chen Xu, Jun Xu, Xu Chen, Zhenghua Dong, Ji-Rong Wen
2023	J	`jnl`	Enhancing Recommendation with Search Data in a Causal Learning Manner. ACM Trans. Inf. Syst. Zihua Si, Zhongxiang Sun, Xiao Zhang, Jun Xu, Yang Song, Xiaoxue Zang, Ji-Rong Wen
2023	J	`jnl`	Generative Retrieval with Semantic Tree-Structured Item Identifiers via Contrastive Learning. CoRR Zihua Si, Zhongxiang Sun, JiaLe Chen, Guozhang Chen, Xiaoxue Zang, Kai Zheng, Yang Song, Xiao Zhang, Jun Xu
2023	A	`conf`	HyperBandit: Contextual Bandit with Hypernewtork for Time-Varying User Preferences in Streaming Recommendation. CIKM Chenglei Shen, Xiao Zhang, Wei Wei, Jun Xu
2023	J	`jnl`	HyperBandit: Contextual Bandit with Hypernewtork for Time-Varying User Preferences in Streaming Recommendation. CoRR Chenglei Shen, Xiao Zhang, Wei Wei, Jun Xu
2023	J	`jnl`	Incorporating Judgment Prediction into Legal Case Retrieval via Law-aware Generative Retrieval. CoRR Weicong Qin, Zelin Cao, Weijie Yu, Zihua Si, Sirui Chen, Jun Xu
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	—	`conf`	Joint Semantic and Strategy Matching for Persuasive Dialogue. EMNLP (Findings) Chuhao Jin, Yutao Zhu, Lingzhen Kong, Shijie Li, Xiao Zhang, Ruihua Song, Xu Chen, Huan Chen, Yuchong Sun, Yu Chen, Jun Xu
2023	A	`conf`	KuaiSAR: A Unified Search And Recommendation Dataset. CIKM Zhongxiang Sun, Zihua Si, Xiaoxue Zang, Dewei Leng, Yanan Niu, Yang Song, Xiao Zhang, Jun Xu
2023	J	`jnl`	KuaiSAR: A Unified Search And Recommendation Dataset. CoRR Zhongxiang Sun, Zihua Si, Xiaoxue Zang, Dewei Leng, Yanan Niu, Yang Song, Xiao Zhang, Jun Xu
2023	J	`jnl`	LLMs may Dominate Information Access: Neural Retrievers are Biased Towards LLM-Generated Texts. CoRR Sunhao Dai, Yuqi Zhou, Liang Pang, Weihao Liu, Xiaolin Hu, Yong Liu, Xiao Zhang, Jun Xu
2023	J	`jnl`	LTP-MMF: Towards Long-term Provider Max-min Fairness Under Recommendation Feedback Loops. CoRR Chen Xu, Xiaopeng Ye, Jun Xu, Xiao Zhang, Weiran Shen, Ji-Rong Wen
2023	A*	`conf`	Law Article-Enhanced Legal Case Matching: A Causal Learning Approach. SIGIR Zhongxiang Sun, Jun Xu, Xiao Zhang, Zhenhua Dong, Ji-Rong Wen
2023	A*	`conf`	P-MMF: Provider Max-min Fairness Re-ranking in Recommender System. WWW Chen Xu, Sirui Chen, Jun Xu, Weiran Shen, Xiao Zhang, Gang Wang, Zhenhua Dong
2023	J	`jnl`	P-MMF: Provider Max-min Fairness Re-ranking in Recommender System. CoRR Xu Chen, Sirui Chen, Jun Xu, Weiran Shen, Xiao Zhang, Gang Wang, Zhenghua Dong
2023	—	`conf`	Reinforcement Re-ranking with 2D Grid-based Recommendation Panels. SIGIR-AP Sirui Chen, Xiao Zhang, Xu Chen, Zhiyu Li, Yuan Wang, Quan Lin, Jun Xu
2023	A*	`conf`	Reward Imputation with Sketching for Contextual Batched Bandits. NeurIPS Xiao Zhang, Ninglu Shao, Zihua Si, Jun Xu, Wenhan Wang, Hanjing Su, Ji-Rong Wen
2023	A	`conf`	Separating Examination and Trust Bias from Click Predictions for Unbiased Relevance Ranking. WSDM Haiyuan Zhao, Jun Xu, Xiao Zhang, Guohao Cai, Zhenhua Dong, Ji-Rong Wen
2023	—	`conf`	Unbiased Top-$k$ Learning to Rank with Causal Likelihood Decomposition. SIGIR-AP Haiyuan Zhao, Jun Xu, Xiao Zhang, Guohao Cai, Zhenhua Dong, Ji-Rong Wen
2023	A	`conf`	Uncovering ChatGPT's Capabilities in Recommender Systems. RecSys Sunhao Dai, Ninglu Shao, Haiyuan Zhao, Weijie Yu, Zihua Si, Chen Xu, Zhongxiang Sun, Xiao Zhang, Jun Xu
2023	J	`jnl`	Uncovering ChatGPT's Capabilities in Recommender Systems. CoRR Sunhao Dai, Ninglu Shao, Haiyuan Zhao, Weijie Yu, Zihua Si, Chen Xu, Zhongxiang Sun, Xiao Zhang, Jun Xu
2023	A	`conf`	Uncovering User Interest from Biased and Noised Watch Time in Video Recommendation. RecSys Haiyuan Zhao, Lei Zhang, Jun Xu, Guohao Cai, Zhenhua Dong, Ji-Rong Wen
2023	J	`jnl`	Uncovering User Interest from Biased and Noised Watch Time in Video Recommendation. CoRR Haiyuan Zhao, Lei Zhang, Jun Xu, Guohao Cai, Zhenhua Dong, Ji-Rong Wen
2023	A*	`conf`	When Search Meets Recommendation: Learning Disentangled Search Representation for Recommendation. SIGIR Zihua Si, Zhongxiang Sun, Xiao Zhang, Jun Xu, Xiaoxue Zang, Yang Song, Kun Gai, Ji-Rong Wen
2023	J	`jnl`	When Search Meets Recommendation: Learning Disentangled Search Representation for Recommendation. CoRR Zihua Si, Zhongxiang Sun, Xiao Zhang, Jun Xu, Xiaoxue Zang, Yang Song, Kun Gai, Ji-Rong Wen
2022	J	`jnl`	A Brief History of Recommender Systems. CoRR Zhenhua Dong, Zhe Wang, Jun Xu, Ruiming Tang, Jirong Wen
2022	A*	`conf`	A Model-Agnostic Causal Learning Framework for Recommendation using Search Data. WWW Zihua Si, Xueran Han, Xiao Zhang, Jun Xu, Yue Yin, Yang Song, Ji-Rong Wen
2022	J	`jnl`	A Model-Agnostic Causal Learning Framework for Recommendation using Search Data. CoRR Zihua Si, Xueran Han, Xiao Zhang, Jun Xu, Yue Yin, Yang Song, Ji-Rong Wen
2022	J	`jnl`	A Semi-Synthetic Dataset Generation Framework for Causal Inference in Recommender Systems. CoRR Yan Lyu, Sunhao Dai, Peng Wu, Quanyu Dai, Yuhao Deng, Wenjie Hu, Zhenhua Dong, Jun Xu, Shengyu Zhu, Xiao-Hua Zhou
2022	Misc	`conf`	A Tag-Based Post-Hoc Framework for Explainable Conversational Recommendation. ICTIR Kerui Xu, Jun Xu, Sheng Gao, Si Li, Jun Guo, Ji-Rong Wen
2022	A*	`conf`	Counteracting User Attention Bias in Music Streaming Recommendation via Reward Modification. KDD Xiao Zhang, Sunhao Dai, Jun Xu, Zhenhua Dong, Quanyu Dai, Ji-Rong Wen
2022	J	`jnl`	Distribution Distance Regularized Sequence Representation for Text Matching in Asymmetrical Domains. IEEE ACM Trans. Audio Speech Lang. Process. Weijie Yu, Chen Xu, Jun Xu, Liang Pang, Ji-Rong Wen
2022	A	`conf`	Dually Enhanced Propensity Score Estimation in Sequential Recommendation. CIKM Chen Xu, Jun Xu, Xu Chen, Zhenhua Dong, Ji-Rong Wen
2022	A*	`conf`	Explainable Legal Case Matching via Inverse Optimal Transport-based Rationale Extraction. SIGIR Weijie Yu, Zhongxiang Sun, Jun Xu, Zhenhua Dong, Xu Chen, Hongteng Xu, Ji-Rong Wen
2022	J	`jnl`	Explainable Legal Case Matching via Inverse Optimal Transport-based Rationale Extraction. CoRR Weijie Yu, Zhongxiang Sun, Jun Xu, Zhenhua Dong, Xu Chen, Hongteng Xu, Ji-Rong Wen
2022	J	`jnl`	Law Article-Enhanced Legal Case Matching: a Model-Agnostic Causal Learning Approach. CoRR Zhongxiang Sun, Jun Xu, Xiao Zhang, Zhenhua Dong, Ji-Rong Wen
2022	B	`conf`	Optimal Partial Transport Based Sentence Selection for Long-form Document Matching. COLING Weijie Yu, Liang Pang, Jun Xu, Bing Su, Zhenhua Dong, Ji-Rong Wen
2022	J	`jnl`	Partial Information as Full: Reward Imputation with Sketching in Bandits. CoRR Xiao Zhang, Ninglu Shao, Zihua Si, Jun Xu, Wenhan Wang, Hanjing Su, Ji-Rong Wen
2022	J	`jnl`	Person-job fit estimation from candidate profile and related recruitment history with co-attention neural networks. CoRR Ziyang Wang, Wei Wei, Chenwei Xu, Jun Xu, Xian-Ling Mao
2022	J	`jnl`	Person-job fit estimation from candidate profile and related recruitment history with co-attention neural networks. Neurocomputing Ziyang Wang, Wei Wei, Chenwei Xu, Jun Xu, Xian-Ling Mao
2022	J	`jnl`	Reinforcement Re-ranking with 2D Grid-based Recommendation Panels. CoRR Sirui Chen, Xiao Zhang, Xu Chen, Zhiyu Li, Yuan Wang, Quan Lin, Jun Xu
2022	B	`conf`	Semantic Sentence Matching via Interacting Syntax Graphs. COLING Chen Xu, Jun Xu, Zhenhua Dong, Ji-Rong Wen
2022	J	`jnl`	Unbiased Top-k Learning to Rank with Causal Likelihood Decomposition. CoRR Haiyuan Zhao, Jun Xu, Xiao Zhang, Guohao Cai, Zhenhua Dong, Ji-Rong Wen
2022	—	`conf`	Variance Reduction for Deep Q-Learning Using Stochastic Recursive Gradient. ICONIP (4) Haonan Jia, Xiao Zhang, Jun Xu, Wei Zeng, Hao Jiang, Xiaohui Yan
2021	—	`conf`	A Joint Model for Dropped Pronoun Recovery and Conversational Discourse Parsing in Chinese Conversational Speech. ACL/IJCNLP (1) Jingxuan Yang, Kerui Xu, Jun Xu, Si Li, Sheng Gao, Jun Guo, Nianwen Xue, Ji-Rong Wen
2021	J	`jnl`	A Joint Model for Dropped Pronoun Recovery and Conversational Discourse Parsing in Chinese Conversational Speech. CoRR Jingxuan Yang, Kerui Xu, Jun Xu, Si Li, Sheng Gao, Jun Guo, Nianwen Xue, Ji-Rong Wen
2021	A	`conf`	Adapting User Preference to Online Feedback in Multi-round Conversational Recommendation. WSDM Kerui Xu, Jingxuan Yang, Jun Xu, Sheng Gao, Jun Guo, Ji-Rong Wen
2021	A*	`conf`	Beyond Probability Ranking Principle: Modeling the Dependencies among Documents. SIGIR Liang Pang, Qingyao Ai, Jun Xu
2021	A	`conf`	Beyond Probability Ranking Principle: Modeling the Dependencies among Documents. WSDM Liang Pang, Qingyao Ai, Jun Xu
2021	A*	`conf`	Counterfactual Reward Modification for Streaming Recommendation with Delayed Feedback. SIGIR Xiao Zhang, Haonan Jia, Hanjing Su, Wenhan Wang, Jun Xu, Ji-Rong Wen
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`	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	J	`jnl`	Modeling Relevance Ranking under the Pre-training and Fine-tuning Paradigm. CoRR Lin Bo, Liang Pang, Gang Wang, Jun Xu, Xiuqiang He, Ji-Rong Wen
2021	J	`jnl`	RLPS: A Reinforcement Learning-Based Framework for Personalized Search. ACM Trans. Inf. Syst. Jing Yao, Zhicheng Dou, Jun Xu, Ji-Rong Wen
2021	A*	`conf`	Regret Bounds for Online Kernel Selection in Continuous Kernel Space. AAAI Xiao Zhang, Shizhong Liao, Jun Xu, Ji-Rong Wen
2020	A	`conf`	Counterfactual learning for recommender system. RecSys Zhenhua Dong, Hong Zhu, Pengxiang Cheng, Xinhua Feng, Guohao Cai, Xiuqiang He, Jun Xu, Jirong Wen
2020	J	`jnl`	Deep Learning for Matching in Search and Recommendation. Found. Trends Inf. Retr. Jun Xu, Xiangnan He, Hang Li
2020	A*	`conf`	RLPer: A Reinforcement Learning Model for Personalized Search. WWW Jing Yao, Zhicheng Dou, Jun Xu, Ji-Rong Wen
2020	A*	`conf`	Reinforcement Learning to Rank with Pairwise Policy Gradient. SIGIR Jun Xu, Zeng Wei, Long Xia, Yanyan Lan, Dawei Yin, Xueqi Cheng, Ji-Rong Wen
2020	A*	`conf`	SetRank: Learning a Permutation-Invariant Ranking Model for Information Retrieval. SIGIR Liang Pang, Jun Xu, Qingyao Ai, Yanyan Lan, Xueqi Cheng, Jirong Wen
2020	J	`jnl`	SparTerm: Learning Term-based Sparse Representation for Fast Text Retrieval. CoRR Yang Bai, Xiaoguang Li, Gang Wang, Chaoliang Zhang, Lifeng Shang, Jun Xu, Zhaowei Wang, Fangshan Wang, Qun Liu
2020	—	`conf`	Transformer-GCRF: Recovering Chinese Dropped Pronouns with General Conditional Random Fields. EMNLP (Findings) Jingxuan Yang, Kerui Xu, Jun Xu, Si Li, Sheng Gao, Jun Guo, Ji-Rong Wen, Nianwen Xue
2020	J	`jnl`	Transformer-GCRF: Recovering Chinese Dropped Pronouns with General Conditional Random Fields. CoRR Jingxuan Yang, Kerui Xu, Jun Xu, Si Li, Sheng Gao, Jun Guo, Ji-Rong Wen, Nianwen Xue
2020	J	`jnl`	Variance Reduction for Deep Q-Learning using Stochastic Recursive Gradient. CoRR Haonan Jia, Xiao Zhang, Jun Xu, Wei Zeng, Hao Jiang, Xiaohui Yan, Ji-Rong Wen
2020	—	`conf`	Wasserstein Distance Regularized Sequence Representation for Text Matching in Asymmetrical Domains. EMNLP (1) Weijie Yu, Chen Xu, Jun Xu, Liang Pang, Xiaopeng Gao, Xiaozhao Wang, Ji-Rong Wen
2020	J	`jnl`	Wasserstein Distance Regularized Sequence Representation for Text Matching in Asymmetrical Domains. CoRR Weijie Yu, Chen Xu, Jun Xu, Liang Pang, Xiaopeng Gao, Xiaozhao Wang, Ji-Rong Wen
2019	A	`conf`	Context-Aware Ranking by Constructing a Virtual Environment for Reinforcement Learning. CIKM Junqi Zhang, Jiaxin Mao, Yiqun Liu, Ruizhe Zhang, Min Zhang, Shaoping Ma, Jun Xu, Qi Tian
2019	A	`conf`	Deep Learning for Matching in Search and Recommendation. WSDM Jun Xu, Xiangnan He, Hang Li
2019	A*	`conf`	Differentiated Distribution Recovery for Neural Text Generation. AAAI Jianing Li, Yanyan Lan, Jiafeng Guo, Jun Xu, Xueqi Cheng
2019	A*	`conf`	HAS-QA: Hierarchical Answer Spans Model for Open-Domain Question Answering. AAAI Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Lixin Su, Xueqi Cheng
2019	J	`jnl`	HAS-QA: Hierarchical Answer Spans Model for Open-domain Question Answering. CoRR Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Lixin Su, Xueqi Cheng
2019	J	`jnl`	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	A*	`conf`	Name Entity Recognition with Policy-Value Networks. SIGIR Yadi Lao, Jun Xu, Sheng Gao, Jun Guo, Ji-Rong Wen
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`	PSGAN: A Minimax Game for Personalized Search with Limited and Noisy Click Data. SIGIR Shuqi Lu, Zhicheng Dou, Jun Xu, Jian-Yun Nie, Ji-Rong Wen
2019	J	`jnl`	Pre-training of Context-aware Item Representation for Next Basket Recommendation. CoRR Jingxuan Yang, Jun Xu, Jianzhuo Tong, Sheng Gao, Jun Guo, Jirong Wen
2019	J	`jnl`	SetRank: Learning a Permutation-Invariant Ranking Model for Information Retrieval. CoRR Liang Pang, Jun Xu, Qingyao Ai, Yanyan Lan, Xueqi Cheng, Jirong Wen
2019	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
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	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`	Deep Learning for Matching in Search and Recommendation. SIGIR Jun Xu, Xiangnan He, Hang Li
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	—	`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	J	`jnl`	Modeling the Correlations of Relations for Knowledge Graph Embedding. J. Comput. Sci. Technol. Jizhao Zhu, Yantao Jia, Jun Xu, Jianzhong Qiao, Xueqi Cheng
2018	Misc	`conf`	Multi Page Search with Reinforcement Learning to Rank. ICTIR Wei Zeng, Jun Xu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng
2018	A	`conf`	Neighborhood Voting: A Novel Search Scheme for Hashing. CIKM Yan Xiao, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng
2018	A	`conf`	Question Headline Generation for News Articles. CIKM Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, Jun Xu, Huanhuan Cao, Xueqi Cheng
2018	—	`conf`	RI-Match: Integrating Both Representations and Interactions for Deep Semantic Matching. AIRS Lijuan Chen, Yanyan Lan, Liang Pang, Jiafeng Guo, Jun Xu, Xueqi Cheng
2018	A*	`conf`	Reducing Variance in Gradient Bandit Algorithm using Antithetic Variates Method. SIGIR Sihao Yu, Jun Xu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng
2018	A*	`conf`	Reinforcing Coherence for Sequence to Sequence Model in Dialogue Generation. IJCAI Hainan Zhang, Yanyan Lan, Jiafeng Guo, Jun Xu, Xueqi Cheng
2018	J	`jnl`	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
2017	J	`jnl`	A Deep Investigation of Deep IR Models. CoRR Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Xueqi Cheng
2017	—	`conf`	Academic Access Data Analysis for Literature Recommendation. CCIR Yixing Fan, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng
2017	A*	`conf`	Adapting Markov Decision Process for Search Result Diversification. SIGIR Long Xia, Jun Xu, Yanyan Lan, Jiafeng Guo, Wei Zeng, Xueqi Cheng
2017	A	`conf`	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	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	—	`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	A*	`conf`	Reinforcement Learning to Rank with Markov Decision Process. SIGIR Zheng Wei, Jun Xu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng
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	J	`jnl`	A Study of MatchPyramid Models on Ad-hoc Retrieval. CoRR Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Xueqi Cheng
2016	A	`conf`	Ease the Process of Machine Learning with Dataflow. CIKM Tianyou Guo, Jun Xu, Xiaohui Yan, Jianpeng Hou, Ping Li, Zhaohui Li, Jiafeng Guo, Xueqi Cheng
2016	—	`conf`	Factorizing Sequential and Historical Purchase Data for Basket Recommendation. AIRS Pengfei Wang, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng
2016	—	`conf`	Incorporating Semantic Knowledge into Latent Matching Model in Search. AIRS Shuxin Wang, Xin Jiang, Hang Li, Jun Xu, Bin Wang
2016	J	`jnl`	Incorporating Semantic Knowledge into Latent Matching Model in Search. CoRR Shuxin Wang, Xin Jiang, Hang Li, Jun Xu, Bin Wang
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`	SPAN: Understanding a Question with Its Support Answers. AAAI Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Xueqi Cheng
2016	J	`jnl`	Semantic Regularities in Document Representations. CoRR Fei Sun, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng
2016	A*	`conf`	Sparse Word Embeddings Using ℓ IJCAI Fei Sun, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng
2016	A*	`conf`	Text Matching as Image Recognition. AAAI Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Shengxian Wan, Xueqi Cheng
2016	J	`jnl`	Text Matching as Image Recognition. CoRR Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Shengxian Wan, Xueqi Cheng
2016	A	`conf`	Your Cart tells You: Inferring Demographic Attributes from Purchase Data. WSDM Pengfei Wang, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng
2015	J	`jnl`	A Deep Architecture for Semantic Matching with Multiple Positional Sentence Representations. CoRR Shengxian Wan, Yanyan Lan, Jiafeng Guo, Jun Xu, Liang Pang, Xueqi Cheng
2015	A*	`conf`	A Probabilistic Model for Bursty Topic Discovery in Microblogs. AAAI Xiaohui Yan, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng
2015	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`	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
2014	—	`ed.`	Proceedings of Workshop on Semantic Matching in Information Retrieval co-located with the 37th international ACM SIGIR conference on research and development in information retrieval, SMIR@SIGIR 2014, Queensland, Australia, July 11, 2014. SMIR@SIGIR Julio Gonzalo, Hang Li, Alessandro Moschitti, Jun Xu
2014	A	`conf`	Ranking Optimization with Constraints. CIKM Fangzhao Wu, Jun Xu, Hang Li, Xin Jiang
2014	A*	`conf`	SIGIR 2014 workshop on semantic matching in information retrieval. SIGIR Julio Gonzalo, Hang Li, Alessandro Moschitti, Jun Xu
2014	—	`conf`	Semantic Matching in Search. SMIR@SIGIR Hang Li, Jun Xu
2014	J	`jnl`	Semantic Matching in Search. Found. Trends Inf. Retr. Hang Li, Jun Xu
2014	—	`conf`	User Message Model: A New Approach to Scalable User Modeling on Microblog. AIRS Quan Wang, Jun Xu, Hang Li
2013	A	`conf`	Learning query and document similarities from click-through bipartite graph with metadata. WSDM Wei Wu, Hang Li, Jun Xu
2013	J	`jnl`	Regularized Latent Semantic Indexing: A New Approach to Large-Scale Topic Modeling. ACM Trans. Inf. Syst. Quan Wang, Jun Xu, Hang Li, Nick Craswell
2012	A*	`conf`	Beyond bag-of-words: machine learning for query-document matching in web search. SIGIR Hang Li, Jun Xu
2012	A*	`conf`	Group matrix factorization for scalable topic modeling. SIGIR Quan Wang, Zheng Cao, Jun Xu, Hang Li
2012	A	`conf`	Machine learning for query-document matching in search. WSDM Hang Li, Jun Xu
2011	—	`conf`	A kernel approach to addressing term mismatch. WWW (Companion Volume) Jun Xu, Wei Wu, Hang Li, Gu Xu
2011	J	`jnl`	Learning a Robust Relevance Model for Search Using Kernel Methods. J. Mach. Learn. Res. Wei Wu, Jun Xu, Hang Li, Satoshi Oyama
2011	A*	`conf`	Regularized latent semantic indexing. SIGIR Quan Wang, Jun Xu, Hang Li, Nick Craswell
2010	J	`jnl`	LETOR: A benchmark collection for research on learning to rank for information retrieval. Inf. Retr. Tao Qin, Tie-Yan Liu, Jun Xu, Hang Li
2010	—	`conf`	Relevance Ranking Using Kernels. AIRS Jun Xu, Hang Li, Chaoliang Zhong
2008	A*	`conf`	Directly optimizing evaluation measures in learning to rank. SIGIR Jun Xu, Tie-Yan Liu, Min Lu, Hang Li, Wei-Ying Ma
2008	A	`conf`	Group-based learning: a boosting approach. CIKM Weijian Ni, Jun Xu, Hang Li, Yalou Huang
2007	A*	`conf`	AdaRank: a boosting algorithm for information retrieval. SIGIR Jun Xu, Hang Li
2007	A	`conf`	Searching Documents Based on Relevance and Type. ECIR Jun Xu, Yunbo Cao, Hang Li, Nick Craswell, Yalou Huang
2007	J	`jnl`	Using SVM to Extract Acronyms from Text. Soft Comput. Jun Xu, Yalou Huang
2006	J	`jnl`	A Supervised Learning Approach to Search of Definitions. J. Comput. Sci. Technol. Jun Xu, Yunbo Cao, Hang Li, Min Zhao, Yalou Huang
2006	A*	`conf`	Adapting ranking SVM to document retrieval. SIGIR Yunbo Cao, Jun Xu, Tie-Yan Liu, Hang Li, Yalou Huang, Hsiao-Wuen Hon
2006	—	`conf`	Cost-Sensitive Learning of SVM for Ranking. ECML Jun Xu, Yunbo Cao, Hang Li, Yalou Huang
2005	A	`conf`	A new approach to intranet search based on information extraction. CIKM Hang Li, Yunbo Cao, Jun Xu, Yunhua Hu, Shenjie Li, Dmitriy Meyerzon
2005	—	`conf`	Ranking definitions with supervised learning methods. WWW (Special interest tracks and posters) Jun Xu, Yunbo Cao, Hang Li, Min Zhao