Wayne Xin Zhao

473 papers A* 79A 41B 8C 1Misc 1Journal 280Unranked 62

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adaptive Ability Decomposing for Unlocking Large Reasoning Model Effective Reinforcement Learning. CoRR Zhipeng Chen, Xiaobo Qin, Wayne Xin Zhao, Youbin Wu, Ji-Rong Wen
2026	J	`jnl`	Controlled LLM Training on Spectral Sphere. CoRR Tian Xie, Haoming Luo, Haoyu Tang, Yiwen Hu, Jason Klein Liu, Qingnan Ren, Yang Wang, Wayne Xin Zhao, Rui Yan, Bing Su, Chong Luo, Baining Guo
2026	J	`jnl`	Deep Research for Recommender Systems. CoRR Kesha Ou, Chenghao Wu, Xiaolei Wang, Bowen Zheng, Wayne Xin Zhao, Weitao Li, Long Zhang, Sheng Chen, Ji-Rong Wen
2026	J	`jnl`	Emulating Clinician Cognition via Self-Evolving Deep Clinical Research. CoRR Ruiyang Ren, Yuhao Wang, Yunsen Liang, Lan Luo, Jing Liu, Haifeng Wang, Cong Feng, Yinan Zhang, Chunyan Miao, Ji-Rong Wen, Wayne Xin Zhao
2026	J	`jnl`	Erratum: Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach. ACM Trans. Inf. Syst. Junjie Zhang, Ruobing Xie, Yupeng Hou, Wayne Xin Zhao, Leyu Lin, Ji-Rong Wen
2026	J	`jnl`	ForesightKV: Optimizing KV Cache Eviction for Reasoning Models by Learning Long-Term Contribution. CoRR Zican Dong, Peiyu Liu, Junyi Li, Zhipeng Chen, Han Peng, Shuo Wang, Wayne Xin Zhao
2026	A*	`conf`	GenCI: Generative Modeling of User Interest Shift via Cohort-based Intent Learning for CTR Prediction. WWW Kesha Ou, Zhen Tian, Wayne Xin Zhao, Hongyu Lu, Ji-Rong Wen
2026	J	`jnl`	GenCI: Generative Modeling of User Interest Shift via Cohort-based Intent Learning for CTR Prediction. CoRR Kesha Ou, Zhen Tian, Wayne Xin Zhao, Hongyu Lu, Ji-Rong Wen
2026	J	`jnl`	Improving LLM-based Recommendation with Self-Hard Negatives from Intermediate Layers. CoRR Bingqian Li, Bowen Zheng, Xiaolei Wang, Long Zhang, Jinpeng Wang, Sheng Chen, Wayne Xin Zhao, Ji-Rong Wen
2026	J	`jnl`	InCoder-32B: Code Foundation Model for Industrial Scenarios. CoRR Jian Yang, Wei Zhang, Jiajun Wu, Junhang Cheng, Shawn Guo, Haowen Wang, Weicheng Gu, Yaxin Du, Joseph Li, Fanglin Xu, Yizhi Li, Lin Jing, Yuanbo Wang, Yuhan Gao, Ruihao Gong, Chuan Hao, Ran Tao, Aishan Liu, Tuney Zheng, Ganqu Cui, Zhoujun Li, Mingjie Tang, Chenghua Lin, Wayne Xin Zhao, Xianglong Liu, Ming Zhou, Bryan Dai, Weifeng Lv
2026	J	`jnl`	LLM-in-Sandbox Elicits General Agentic Intelligence. CoRR Daixuan Cheng, Shaohan Huang, Yuxian Gu, Huatong Song, Guoxin Chen, Li Dong, Wayne Xin Zhao, Ji-Rong Wen, Furu Wei
2026	J	`jnl`	MergeMix: Optimizing Mid-Training Data Mixtures via Learnable Model Merging. CoRR Jiapeng Wang, Changxin Tian, Kunlong Chen, Ziqi Liu, Jiaxin Mao, Wayne Xin Zhao, Zhiqiang Zhang, Jun Zhou
2026	J	`jnl`	RecNet: Self-Evolving Preference Propagation for Agentic Recommender Systems. CoRR Bingqian Li, Xiaolei Wang, Junyi Li, Weitao Li, Long Zhang, Sheng Chen, Wayne Xin Zhao, Ji-Rong Wen
2026	J	`jnl`	SWE-Master: Unleashing the Potential of Software Engineering Agents via Post-Training. CoRR Huatong Song, Lisheng Huang, Shuang Sun, Jinhao Jiang, Ran Le, Daixuan Cheng, Guoxin Chen, Yiwen Hu, Zongchao Chen, Yiming Jia, Wayne Xin Zhao, Yang Song, Tao Zhang, Ji-Rong Wen
2026	J	`jnl`	SWE-World: Building Software Engineering Agents in Docker-Free Environments. CoRR Shuang Sun, Huatong Song, Lisheng Huang, Jinhao Jiang, Ran Le, Zhihao Lv, Zongchao Chen, Yiwen Hu, Wenyang Luo, Wayne Xin Zhao, Yang Song, Hongteng Xu, Tao Zhang, Ji-Rong Wen
2026	J	`jnl`	Spatio-Temporal Data Enhanced Vision-Language Model for Traffic Scene Understanding. IEEE Trans. Intell. Transp. Syst. Jingtian Ma, Jingyuan Wang, Wayne Xin Zhao, Guoping Liu, Xiang Wen
2026	J	`jnl`	Towards Effective Experiential Learning: Dual Guidance for Utilization and Internalization. CoRR Fei Bai, Zhipeng Chen, Chuan Hao, Ming-Hsuan Yang, Ran Tao, Bryan Dai, Wayne Xin Zhao, Jian Yang, Hongteng Xu
2025	Misc	`conf`	A Pre-trained Plug-in Mixture-of-LoRAs Model for Transferable Sequential Recommendation. ICASSP Wenqi Sun, Ruobing Xie, Junjie Zhang, Zitian Guo, Wayne Xin Zhao, Zhanhui Kang, Ji-Rong Wen
2025	J	`jnl`	AVC-DPO: Aligned Video Captioning via Direct Preference Optimization. CoRR Jiyang Tang, Hengyi Li, Yifan Du, Wayne Xin Zhao
2025	J	`jnl`	An Empirical Study on Eliciting and Improving R1-like Reasoning Models. CoRR Zhipeng Chen, Yingqian Min, Beichen Zhang, Jie Chen, Jinhao Jiang, Daixuan Cheng, Wayne Xin Zhao, Zheng Liu, Xu Miao, Yang Lu, Lei Fang, Zhongyuan Wang, Ji-Rong Wen
2025	J	`jnl`	Analyzing and Mitigating Object Hallucination: A Training Bias Perspective. CoRR Yifan Li, Kun Zhou, Wayne Xin Zhao, Lei Fang, Ji-Rong Wen
2025	A	`conf`	Autonomous Reasoning-Retrieval for Large Language Model Based Recommendation. CIKM Bowen Zheng, Xiaolei Wang, Enze Liu, Xi Wang, Hongyu Lu, Yu Chen, Wayne Xin Zhao, Ji-Rong Wen
2025	J	`jnl`	BEE-RAG: Balanced Entropy Engineering for Retrieval-Augmented Generation. CoRR Yuhao Wang, Ruiyang Ren, Yucheng Wang, Jing Liu, Wayne Xin Zhao, Hua Wu, Haifeng Wang
2025	—	`conf`	Bridging Textual-Collaborative Gap through Semantic Codes for Sequential Recommendation. KDD (2) Enze Liu, Bowen Zheng, Wayne Xin Zhao, Ji-Rong Wen
2025	J	`jnl`	Bridging Textual-Collaborative Gap through Semantic Codes for Sequential Recommendation. CoRR Enze Liu, Bowen Zheng, Wayne Xin Zhao, Ji-Rong Wen
2025	A*	`conf`	CAFE: Retrieval Head-based Coarse-to-Fine Information Seeking to Enhance Multi-Document QA Capability. EMNLP Han Peng, Jinhao Jiang, Zican Dong, Wayne Xin Zhao, Lei Fang
2025	J	`jnl`	CAFE: Retrieval Head-based Coarse-to-Fine Information Seeking to Enhance Multi-Document QA Capability. CoRR Han Peng, Jinhao Jiang, Zican Dong, Wayne Xin Zhao, Lei Fang
2025	J	`jnl`	Challenging the Boundaries of Reasoning: An Olympiad-Level Math Benchmark for Large Language Models. CoRR Haoxiang Sun, Yingqian Min, Zhipeng Chen, Wayne Xin Zhao, Zheng Liu, Zhongyuan Wang, Lei Fang, Ji-Rong Wen
2025	J	`jnl`	Curriculum-scheduled knowledge distillation from multiple pre-trained teachers for multi-domain sequential recommendation. World Wide Web (WWW) Wenqi Sun, Ruobing Xie, Junjie Zhang, Wayne Xin Zhao, Leyu Lin, Ji-Rong Wen
2025	J	`jnl`	Decomposing the Entropy-Performance Exchange: The Missing Keys to Unlocking Effective Reinforcement Learning. CoRR Jia Deng, Jie Chen, Zhipeng Chen, Wayne Xin Zhao, Ji-Rong Wen
2025	J	`jnl`	DeepRec: Towards a Deep Dive Into the Item Space with Large Language Model Based Recommendation. CoRR Bowen Zheng, Xiaolei Wang, Enze Liu, Xi Wang, Hongyu Lu, Yu Chen, Wayne Xin Zhao, Ji-Rong Wen
2025	J	`jnl`	Do we Really Need Visual Instructions? Towards Visual Instruction-Free Fine-tuning for Large Vision-Language Models. CoRR Zikang Liu, Kun Zhou, Wayne Xin Zhao, Dawei Gao, Yaliang Li, Ji-Rong Wen
2025	J	`jnl`	Domain-Specific Pruning of Large Mixture-of-Experts Models with Few-shot Demonstrations. CoRR Zican Dong, Han Peng, Peiyu Liu, Wayne Xin Zhao, Dong Wu, Feng Xiao, Zhifeng Wang
2025	A*	`conf`	Enhancing Chain-of-Thought Reasoning via Neuron Activation Differential Analysis. EMNLP Yiru Tang, Kun Zhou, Yingqian Min, Wayne Xin Zhao, Jing Sha, Zhichao Sheng, Shijin Wang
2025	J	`jnl`	Enhancing Cross-task Transfer of Large Language Models via Activation Steering. CoRR Xinyu Tang, Zhihao Lv, Xiaoxue Cheng, Junyi Li, Wayne Xin Zhao, Zujie Wen, Zhiqiang Zhang, Jun Zhou
2025	—	`conf`	Enhancing Graph Contrastive Learning with Reliable and Informative Augmentation for Recommendation. KDD (1) Bowen Zheng, Junjie Zhang, Hongyu Lu, Yu Chen, Ming Chen, Wayne Xin Zhao, Ji-Rong Wen
2025	A	`conf`	Enhancing Sequential Recommender with Large Language Models for Joint Video and Comment Recommendation. RecSys Bowen Zheng, Zihan Lin, Enze Liu, Chen Yang, Enyang Bai, Cheng Ling, Han Li, Wayne Xin Zhao, Ji-Rong Wen
2025	J	`jnl`	Entropy-Guided Token Dropout: Training Autoregressive Language Models with Limited Domain Data. CoRR Jiapeng Wang, Yiwen Hu, Yanzipeng Gao, Haoyu Wang, Shuo Wang, Hongyu Lu, Jiaxin Mao, Wayne Xin Zhao, Junyi Li, Xiao Zhang
2025	J	`jnl`	Experience-Guided Reflective Co-Evolution of Prompts and Heuristics for Automatic Algorithm Design. CoRR Yihong Liu, Junyi Li, Wayne Xin Zhao, Hongyu Lu, Ji-Rong Wen
2025	A*	`conf`	Extracting and Combining Abilities For Building Multi-lingual Ability-enhanced Large Language Models. EMNLP Zhipeng Chen, Kun Zhou, Liang Song, Wayne Xin Zhao, Bingning Wang, Weipeng Chen, Ji-Rong Wen
2025	A*	`conf`	Frequency-Augmented Mixture-of-Heterogeneous-Experts Framework for Sequential Recommendation. WWW Junjie Zhang, Ruobing Xie, Hongyu Lu, Wenqi Sun, Wayne Xin Zhao, Yu Chen, Zhanhui Kang
2025	J	`jnl`	From Trial-and-Error to Improvement: A Systematic Analysis of LLM Exploration Mechanisms in RLVR. CoRR Jia Deng, Jie Chen, Zhipeng Chen, Daixuan Cheng, Fei Bai, Beichen Zhang, Yinqian Min, Yanzipeng Gao, Wayne Xin Zhao, Ji-Rong Wen
2025	A*	`conf`	Generative Recommender with End-to-End Learnable Item Tokenization. SIGIR Enze Liu, Bowen Zheng, Cheng Ling, Lantao Hu, Han Li, Wayne Xin Zhao
2025	J	`jnl`	Holistically Guided Monte Carlo Tree Search for Intricate Information Seeking. CoRR Ruiyang Ren, Yuhao Wang, Junyi Li, Jinhao Jiang, Wayne Xin Zhao, Wenjie Wang, Tat-Seng Chua
2025	J	`jnl`	How Efficient Are Diffusion Language Models? A Critical Examination of Efficiency Evaluation Practices. CoRR Han Peng, Peiyu Liu, Zican Dong, Daixuan Cheng, Junyi Li, Yiru Tang, Shuo Wang, Wayne Xin Zhao
2025	J	`jnl`	ICPC-Eval: Probing the Frontiers of LLM Reasoning with Competitive Programming Contests. CoRR Shiyi Xu, Yiwen Hu, Yingqian Min, Zhipeng Chen, Wayne Xin Zhao, Ji-Rong Wen
2025	J	`jnl`	Incentivizing Dual Process Thinking for Efficient Large Language Model Reasoning. CoRR Xiaoxue Cheng, Junyi Li, Zhenduo Zhang, Xinyu Tang, Wayne Xin Zhao, Xinyu Kong, Zhiqiang Zhang
2025	B	`conf`	Investigating the Factual Knowledge Boundary of Large Language Models with Retrieval Augmentation. COLING Ruiyang Ren, Yuhao Wang, Yingqi Qu, Wayne Xin Zhao, Jing Liu, Hua Wu, Ji-Rong Wen, Haifeng Wang
2025	J	`jnl`	Irrational Complex Rotations Empower Low-bit Optimizers. CoRR Zhen Tian, Wayne Xin Zhao, Ji-Rong Wen
2025	J	`jnl`	IterResearch: Rethinking Long-Horizon Agents via Markovian State Reconstruction. CoRR Guoxin Chen, Zile Qiao, Xuanzhong Chen, Donglei Yu, Haotian Xu, Wayne Xin Zhao, Ruihua Song, Wenbiao Yin, Huifeng Yin, Liwen Zhang, Kuan Li, Minpeng Liao, Yong Jiang, Pengjun Xie, Fei Huang, Jingren Zhou
2025	J	`jnl`	LARES: Latent Reasoning for Sequential Recommendation. CoRR Enze Liu, Bowen Zheng, Xiaolei Wang, Wayne Xin Zhao, Jinpeng Wang, Sheng Chen, Ji-Rong Wen
2025	A*	`conf`	LLM-based Search Assistant with Holistically Guided MCTS for Intricate Information Seeking. SIGIR Ruiyang Ren, Yuhao Wang, Junyi Li, Jinhao Jiang, Wayne Xin Zhao, Wenjie Wang, Tat-Seng Chua
2025	A*	`conf`	Less is More: High-value Data Selection for Visual Instruction Tuning. ACM Multimedia Zikang Liu, Kun Zhou, Wayne Xin Zhao, Dawei Gao, Yaliang Li, Ji-Rong Wen
2025	J	`jnl`	LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation. CoRR Zican Dong, Junyi Li, Jinhao Jiang, Mingyu Xu, Wayne Xin Zhao, Bingning Wang, Weipeng Chen
2025	J	`jnl`	MARS: Optimizing Dual-System Deep Research via Multi-Agent Reinforcement Learning. CoRR Guoxin Chen, Zile Qiao, Wenqing Wang, Donglei Yu, Xuanzhong Chen, Hao Sun, Minpeng Liao, Kai Fan, Yong Jiang, Penguin Xie, Wayne Xin Zhao, Ruihua Song, Fei Huang
2025	A*	`conf`	MGIPF: Multi-Granularity Interest Prediction Framework for Personalized Recommendation. SIGIR Ruoxuan Feng, Zhen Tian, Qiushi Peng, Jiaxin Mao, Wayne Xin Zhao, Di Hu, Changwang Zhang
2025	—	`conf`	MMATH: A Multilingual Benchmark for Mathematical Reasoning. EMNLP (Findings) Wenyang Luo, Wayne Xin Zhao, Jing Sha, Shijin Wang, Ji-Rong Wen
2025	J	`jnl`	MMATH: A Multilingual Benchmark for Mathematical Reasoning. CoRR Wenyang Luo, Wayne Xin Zhao, Jing Sha, Shijin Wang, Ji-Rong Wen
2025	J	`jnl`	MaP: A Unified Framework for Reliable Evaluation of Pre-training Dynamics. CoRR Jiapeng Wang, Changxin Tian, Kunlong Chen, Ziqi Liu, Jiaxin Mao, Wayne Xin Zhao, Zhiqiang Zhang, Jun Zhou
2025	J	`jnl`	ManuSearch: Democratizing Deep Search in Large Language Models with a Transparent and Open Multi-Agent Framework. CoRR Lisheng Huang, Yichen Liu, Jinhao Jiang, Rongxiang Zhang, Jiahao Yan, Junyi Li, Wayne Xin Zhao
2025	J	`jnl`	PAL-UI: Planning with Active Look-back for Vision-Based GUI Agents. CoRR Zikang Liu, Junyi Li, Wayne Xin Zhao, Dawei Gao, Yaliang Li, Ji-Rong Wen
2025	J	`jnl`	Pass@k Training for Adaptively Balancing Exploration and Exploitation of Large Reasoning Models. CoRR Zhipeng Chen, Xiaobo Qin, Youbin Wu, Yue Ling, Qinghao Ye, Wayne Xin Zhao, Guang Shi
2025	J	`jnl`	Pre-training Generative Recommender with Multi-Identifier Item Tokenization. CoRR Bowen Zheng, Enze Liu, Zhongfu Chen, Zhongrui Ma, Yue Wang, Wayne Xin Zhao, Ji-Rong Wen
2025	J	`jnl`	R1-Searcher++: Incentivizing the Dynamic Knowledge Acquisition of LLMs via Reinforcement Learning. CoRR Huatong Song, Jinhao Jiang, Wenqing Tian, Zhipeng Chen, Yuhuan Wu, Jiahao Zhao, Yingqian Min, Wayne Xin Zhao, Lei Fang, Ji-Rong Wen
2025	J	`jnl`	R1-Searcher: Incentivizing the Search Capability in LLMs via Reinforcement Learning. CoRR Huatong Song, Jinhao Jiang, Yingqian Min, Jie Chen, Zhipeng Chen, Wayne Xin Zhao, Lei Fang, Ji-Rong Wen
2025	J	`jnl`	RV-Syn: Rational and Verifiable Mathematical Reasoning Data Synthesis based on Structured Function Library. CoRR Jiapeng Wang, Jinhao Jiang, Zhiqiang Zhang, Jun Zhou, Wayne Xin Zhao
2025	J	`jnl`	ReForm: Reflective Autoformalization with Prospective Bounded Sequence Optimization. CoRR Guoxin Chen, Jing Wu, Xinjie Chen, Wayne Xin Zhao, Ruihua Song, Chengxi Li, Kai Fan, Dayiheng Liu, Minpeng Liao
2025	J	`jnl`	Reasoning with Exploration: An Entropy Perspective. CoRR Daixuan Cheng, Shaohan Huang, Xuekai Zhu, Bo Dai, Wayne Xin Zhao, Zhenliang Zhang, Furu Wei
2025	J	`jnl`	Reinforced Informativeness Optimization for Long-Form Retrieval-Augmented Generation. CoRR Yuhao Wang, Ruiyang Ren, Yucheng Wang, Wayne Xin Zhao, Jing Liu, Hua Wu, Haifeng Wang
2025	J	`jnl`	Rethinking Sample Polarity in Reinforcement Learning with Verifiable Rewards. CoRR Xinyu Tang, Yuliang Zhan, Zhixun Li, Wayne Xin Zhao, Zhenduo Zhang, Zujie Wen, Zhiqiang Zhang, Jun Zhou
2025	J	`jnl`	Review-Enhanced Universal Sequence Representation Learning for Recommender Systems. ACM Trans. Inf. Syst. Junjie Zhang, Wenqi Sun, Yupeng Hou, Wayne Xin Zhao, Ji-Rong Wen
2025	J	`jnl`	Revisiting the Necessity of Lengthy Chain-of-Thought in Vision-centric Reasoning Generalization. CoRR Yifan Du, Kun Zhou, Yingqian Min, Yue Ling, Wayne Xin Zhao, Youbin Wu
2025	A	`conf`	STARec: An Efficient Agent Framework for Recommender Systems via Autonomous Deliberate Reasoning. CIKM Chenghao Wu, Ruiyang Ren, Junjie Zhang, Ruirui Wang, Zhongrui Ma, Qi Ye, Wayne Xin Zhao
2025	J	`jnl`	STARec: An Efficient Agent Framework for Recommender Systems via Autonomous Deliberate Reasoning. CoRR Chenghao Wu, Ruiyang Ren, Junjie Zhang, Ruirui Wang, Zhongrui Ma, Qi Ye, Wayne Xin Zhao
2025	J	`jnl`	Scaling Laws for Code: Every Programming Language Matters. CoRR Jian Yang, Shawn Guo, Lin Jing, Wei Zhang, Aishan Liu, Chuan Hao, Zhoujun Li, Wayne Xin Zhao, Xianglong Liu, Weifeng Lv, Bryan Dai
2025	A*	`conf`	Search-Based Interaction For Conversation Recommendation via Generative Reward Model Based Simulated User. SIGIR Xiaolei Wang, Chunxuan Xia, Junyi Li, Fanzhe Meng, Lei Huang, Jinpeng Wang, Wayne Xin Zhao, Ji-Rong Wen
2025	J	`jnl`	Search-Based Interaction For Conversation Recommendation via Generative Reward Model Based Simulated User. CoRR Xiaolei Wang, Chunxuan Xia, Junyi Li, Fanzhe Meng, Lei Huang, Jinpeng Wang, Wayne Xin Zhao, Ji-Rong Wen
2025	A*	`conf`	Self-Calibrated Listwise Reranking with Large Language Models. WWW Ruiyang Ren, Yuhao Wang, Kun Zhou, Wayne Xin Zhao, Wenjie Wang, Jing Liu, Ji-Rong Wen, Tat-Seng Chua
2025	J	`jnl`	SimpleDeepSearcher: Deep Information Seeking via Web-Powered Reasoning Trajectory Synthesis. CoRR Shuang Sun, Huatong Song, Yuhao Wang, Ruiyang Ren, Jinhao Jiang, Junjie Zhang, Fei Bai, Jia Deng, Wayne Xin Zhao, Zheng Liu, Lei Fang, Zhongyuan Wang, Ji-Rong Wen
2025	J	`jnl`	Slow Thinking for Sequential Recommendation. CoRR Junjie Zhang, Beichen Zhang, Wenqi Sun, Hongyu Lu, Wayne Xin Zhao, Yu Chen, Ji-Rong Wen
2025	J	`jnl`	Spatio-Temporal Data Enhanced Vision-Language Model for Traffic Scene Understanding. CoRR Jingtian Ma, Jingyuan Wang, Wayne Xin Zhao, Guoping Liu, Xiang Wen
2025	A*	`conf`	Sticker-TTS: Learn to Utilize Historical Experience with a Sticker-driven Test-Time Scaling Framework. EMNLP Jie Chen, Jinhao Jiang, Yingqian Min, Zican Dong, Shijie Wang, Wayne Xin Zhao, Ji-Rong Wen
2025	J	`jnl`	Sticker-TTS: Learn to Utilize Historical Experience with a Sticker-driven Test-Time Scaling Framework. CoRR Jie Chen, Jinhao Jiang, Yingqian Min, Zican Dong, Shijie Wang, Wayne Xin Zhao, Ji-Rong Wen
2025	J	`jnl`	Tapping the Potential of Large Language Models as Recommender Systems: A Comprehensive Framework and Empirical Analysis. ACM Trans. Knowl. Discov. Data Lanling Xu, Junjie Zhang, Bingqian Li, Jinpeng Wang, Sheng Chen, Wayne Xin Zhao, Ji-Rong Wen
2025	—	`conf`	The 3rd Workshop on Personal Intelligence with Generative AI. WWW (Companion Volume) Yang Zhang, Wenjie Wang, Xinyu Lin, Fuli Feng, Hongzhi Yin, Wayne Xin Zhao, Lina Yao, Yang Song, Xiangnan He
2025	J	`jnl`	Think More, Hallucinate Less: Mitigating Hallucinations via Dual Process of Fast and Slow Thinking. CoRR Xiaoxue Cheng, Junyi Li, Wayne Xin Zhao, Ji-Rong Wen
2025	J	`jnl`	ToolMind Technical Report: A Large-Scale, Reasoning-Enhanced Tool-Use Dataset. CoRR Chen Yang, Ran Le, Yun Xing, Zhenwei An, Zongchao Chen, Wayne Xin Zhao, Yang Song, Tao Zhang
2025	—	`conf`	Towards Coarse-to-Fine Evaluation of Inference Efficiency for Large Language Models. CCL Yushuo Chen, Tianyi Tang, Erge Xiang, Linjiang Li, Wayne Xin Zhao, Jing Wang, Yunpeng Chai, Ji-Rong Wen
2025	J	`jnl`	Towards Effective Code-Integrated Reasoning. CoRR Fei Bai, Yingqian Min, Beichen Zhang, Zhipeng Chen, Wayne Xin Zhao, Lei Fang, Zheng Liu, Zhongyuan Wang, Ji-Rong Wen
2025	J	`jnl`	Towards High Data Efficiency in Reinforcement Learning with Verifiable Reward. CoRR Xinyu Tang, Zhenduo Zhang, Yurou Liu, Wayne Xin Zhao, Zujie Wen, Zhiqiang Zhang, Jun Zhou
2025	—	`conf`	UFIN: Universal Feature Interaction Network for Multi-domain Click-Through Rate Prediction. DASFAA (2) Zhen Tian, Changwang Zhang, Wayne Xin Zhao, Xin Zhao, Ji-Rong Wen, Zhao Cao
2025	J	`jnl`	Universal Item Tokenization for Transferable Generative Recommendation. CoRR Bowen Zheng, Hongyu Lu, Yu Chen, Wayne Xin Zhao, Ji-Rong Wen
2025	J	`jnl`	Unleashing Perception-Time Scaling to Multimodal Reasoning Models. CoRR Yifan Li, Zhenghao Chen, Ziheng Wu, Kun Zhou, Ruipu Luo, Can Zhang, Zhentao He, Yufei Zhan, Wayne Xin Zhao, Minghui Qiu
2025	A*	`conf`	Unleashing the Potential of Large Language Models as Prompt Optimizers: Analogical Analysis with Gradient-based Model Optimizers. AAAI Xinyu Tang, Xiaolei Wang, Wayne Xin Zhao, Siyuan Lu, Yaliang Li, Ji-Rong Wen
2025	J	`jnl`	Unlocking General Long Chain-of-Thought Reasoning Capabilities of Large Language Models via Representation Engineering. CoRR Xinyu Tang, Xiaolei Wang, Zhihao Lv, Yingqian Min, Wayne Xin Zhao, Binbin Hu, Ziqi Liu, Zhiqiang Zhang
2025	A*	`conf`	Unveiling Knowledge Utilization Mechanisms in LLM-based Retrieval-Augmented Generation. SIGIR Yuhao Wang, Ruiyang Ren, Yucheng Wang, Wayne Xin Zhao, Jing Liu, Hua Wu, Haifeng Wang
2025	J	`jnl`	Unveiling Knowledge Utilization Mechanisms in LLM-based Retrieval-Augmented Generation. CoRR Yuhao Wang, Ruiyang Ren, Yucheng Wang, Wayne Xin Zhao, Jing Liu, Hua Wu, Haifeng Wang
2025	J	`jnl`	VIPER: Process-aware Evaluation for Generative Video Reasoning. CoRR Yifan Li, Yukai Gu, Yingqian Min, Zikang Liu, Yifan Du, Kun Zhou, Min Yang, Wayne Xin Zhao, Minghui Qiu
2025	—	`conf`	ViFT: Towards Visual Instruction-Free Fine-tuning for Large Vision-Language Models. EMNLP (Findings) Zikang Liu, Kun Zhou, Wayne Xin Zhao, Dawei Gao, Yaliang Li, Ji-Rong Wen
2025	J	`jnl`	Virgo: A Preliminary Exploration on Reproducing o1-like MLLM. CoRR Yifan Du, Zikang Liu, Yifan Li, Wayne Xin Zhao, Yuqi Huo, Bingning Wang, Weipeng Chen, Zheng Liu, Zhongyuan Wang, Ji-Rong Wen
2025	J	`jnl`	WSM: Decay-Free Learning Rate Schedule via Checkpoint Merging for LLM Pre-training. CoRR Changxin Tian, Jiapeng Wang, Qian Zhao, Kunlong Chen, Jia Liu, Ziqi Liu, Jiaxin Mao, Wayne Xin Zhao, Zhiqiang Zhang, Jun Zhou
2025	B	`conf`	What Makes for Good Visual Instructions? Synthesizing Complex Visual Reasoning Instructions for Visual Instruction Tuning. COLING Yifan Du, Hangyu Guo, Kun Zhou, Wayne Xin Zhao, Jinpeng Wang, Chuyuan Wang, Mingchen Cai, Ruihua Song, Ji-Rong Wen
2024	J	`jnl`	A Large Language Model Enhanced Sequential Recommender for Joint Video and Comment Recommendation. CoRR Bowen Zheng, Zihan Lin, Enze Liu, Chen Yang, Enyang Bai, Cheng Ling, Wayne Xin Zhao, Ji-Rong Wen
2024	J	`jnl`	A survey on large language model based autonomous agents. Frontiers Comput. Sci. Lei Wang, Chen Ma, Xueyang Feng, Zeyu Zhang, Hao Yang, Jingsen Zhang, Zhiyuan Chen, Jiakai Tang, Xu Chen, Yankai Lin, Wayne Xin Zhao, Zhewei Wei, Jirong Wen
2024	A*	`conf`	Adapting Large Language Models by Integrating Collaborative Semantics for Recommendation. ICDE Bowen Zheng, Yupeng Hou, Hongyu Lu, Yu Chen, Wayne Xin Zhao, Ming Chen, Ji-Rong Wen
2024	A*	`conf`	AgentCF: Collaborative Learning with Autonomous Language Agents for Recommender Systems. WWW Junjie Zhang, Yupeng Hou, Ruobing Xie, Wenqi Sun, Julian J. McAuley, Wayne Xin Zhao, Leyu Lin, Ji-Rong Wen
2024	A*	`conf`	An Integrated Data Processing Framework for Pretraining Foundation Models. SIGIR Yiding Sun, Feng Wang, Yutao Zhu, Wayne Xin Zhao, Jiaxin Mao
2024	J	`jnl`	An Integrated Data Processing Framework for Pretraining Foundation Models. CoRR Yiding Sun, Feng Wang, Yutao Zhu, Wayne Xin Zhao, Jiaxin Mao
2024	—	`conf`	BAMBOO: A Comprehensive Benchmark for Evaluating Long Text Modeling Capacities of Large Language Models. LREC/COLING Zican Dong, Tianyi Tang, Junyi Li, Wayne Xin Zhao, Ji-Rong Wen
2024	J	`jnl`	BASES: Large-scale Web Search User Simulation with Large Language Model based Agents. CoRR Ruiyang Ren, Peng Qiu, Yingqi Qu, Jing Liu, Wayne Xin Zhao, Hua Wu, Ji-Rong Wen, Haifeng Wang
2024	—	`conf`	ChainLM: Empowering Large Language Models with Improved Chain-of-Thought Prompting. LREC/COLING Xiaoxue Cheng, Junyi Li, Wayne Xin Zhao, Ji-Rong Wen
2024	J	`jnl`	ChainLM: Empowering Large Language Models with Improved Chain-of-Thought Prompting. CoRR Xiaoxue Cheng, Junyi Li, Wayne Xin Zhao, Ji-Rong Wen
2024	J	`jnl`	CoAct: A Global-Local Hierarchy for Autonomous Agent Collaboration. CoRR Xinming Hou, Mingming Yang, Wenxiang Jiao, Xing Wang, Zhaopeng Tu, Wayne Xin Zhao
2024	—	`conf`	Compression Image Dataset Based on Multiple Matrix Product States. FICC (2) Ze-Feng Gao, Peiyu Liu, Wayne Xin Zhao, Zhi-Yuan Xie, Ji-Rong Wen, Zhong-Yi Lu
2024	J	`jnl`	DAWN-ICL: Strategic Planning of Problem-solving Trajectories for Zero-Shot In-Context Learning. CoRR Xinyu Tang, Xiaolei Wang, Wayne Xin Zhao, Ji-Rong Wen
2024	J	`jnl`	Data-CUBE: Data Curriculum for Instruction-based Sentence Representation Learning. CoRR Yingqian Min, Kun Zhou, Dawei Gao, Wayne Xin Zhao, He Hu, Yaliang Li
2024	J	`jnl`	Dense Text Retrieval Based on Pretrained Language Models: A Survey. ACM Trans. Inf. Syst. Wayne Xin Zhao, Jing Liu, Ruiyang Ren, Ji-Rong Wen
2024	J	`jnl`	Distillation is All You Need for Practically Using Different Pre-trained Recommendation Models. CoRR Wenqi Sun, Ruobing Xie, Junjie Zhang, Wayne Xin Zhao, Leyu Lin, Ji-Rong Wen
2024	—	`conf`	Do Emergent Abilities Exist in Quantized Large Language Models: An Empirical Study. LREC/COLING Peiyu Liu, Zikang Liu, Ze-Feng Gao, Dawei Gao, Wayne Xin Zhao, Yaliang Li, Bolin Ding, Ji-Rong Wen
2024	J	`jnl`	End-to-End Learnable Item Tokenization for Generative Recommendation. CoRR Enze Liu, Bowen Zheng, Cheng Ling, Lantao Hu, Han Li, Wayne Xin Zhao
2024	J	`jnl`	Enhancing Graph Contrastive Learning with Reliable and Informative Augmentation for Recommendation. CoRR Bowen Zheng, Junjie Zhang, Hongyu Lu, Yu Chen, Ming Chen, Wayne Xin Zhao, Ji-Rong Wen
2024	—	`conf`	Enhancing Parameter-efficient Fine-tuning with Simple Calibration Based on Stable Rank. LREC/COLING Peiyu Liu, Ze-Feng Gao, Xiao Zhang, Wayne Xin Zhao, Ji-Rong Wen
2024	A*	`conf`	EulerFormer: Sequential User Behavior Modeling with Complex Vector Attention. SIGIR Zhen Tian, Wayne Xin Zhao, Changwang Zhang, Xin Zhao, Zhongrui Ma, Ji-Rong Wen
2024	J	`jnl`	EulerFormer: Sequential User Behavior Modeling with Complex Vector Attention. CoRR Zhen Tian, Wayne Xin Zhao, Changwang Zhang, Xin Zhao, Zhongrui Ma, Ji-Rong Wen
2024	J	`jnl`	Exploring Context Window of Large Language Models via Decomposed Positional Vectors. CoRR Zican Dong, Junyi Li, Xin Men, Wayne Xin Zhao, Bingbing Wang, Zhen Tian, Weipeng Chen, Ji-Rong Wen
2024	J	`jnl`	Exploring the Design Space of Visual Context Representation in Video MLLMs. CoRR Yifan Du, Yuqi Huo, Kun Zhou, Zijia Zhao, Haoyu Lu, Han Huang, Wayne Xin Zhao, Bingning Wang, Weipeng Chen, Ji-Rong Wen
2024	J	`jnl`	Extracting and Transferring Abilities For Building Multi-lingual Ability-enhanced Large Language Models. CoRR Zhipeng Chen, Liang Song, Kun Zhou, Wayne Xin Zhao, Bingning Wang, Weipeng Chen, Ji-Rong Wen
2024	—	`conf`	Images are Achilles' Heel of Alignment: Exploiting Visual Vulnerabilities for Jailbreaking Multimodal Large Language Models. ECCV (73) Yifan Li, Hangyu Guo, Kun Zhou, Wayne Xin Zhao, Ji-Rong Wen
2024	J	`jnl`	Images are Achilles' Heel of Alignment: Exploiting Visual Vulnerabilities for Jailbreaking Multimodal Large Language Models. CoRR Yifan Li, Hangyu Guo, Kun Zhou, Wayne Xin Zhao, Ji-Rong Wen
2024	J	`jnl`	Imitate, Explore, and Self-Improve: A Reproduction Report on Slow-thinking Reasoning Systems. CoRR Yingqian Min, Zhipeng Chen, Jinhao Jiang, Jie Chen, Jia Deng, Yiwen Hu, Yiru Tang, Jiapeng Wang, Xiaoxue Cheng, Huatong Song, Wayne Xin Zhao, Zheng Liu, Zhongyuan Wang, Ji-Rong Wen
2024	J	`jnl`	Improving Large Language Models via Fine-grained Reinforcement Learning with Minimum Editing Constraint. CoRR Zhipeng Chen, Kun Zhou, Wayne Xin Zhao, Junchen Wan, Fuzheng Zhang, Di Zhang, Ji-Rong Wen
2024	J	`jnl`	Investigating the Pre-Training Dynamics of In-Context Learning: Task Recognition vs. Task Learning. CoRR Xiaolei Wang, Xinyu Tang, Wayne Xin Zhao, Ji-Rong Wen
2024	J	`jnl`	JiuZhang3.0: Efficiently Improving Mathematical Reasoning by Training Small Data Synthesis Models. CoRR Kun Zhou, Beichen Zhang, Jiapeng Wang, Zhipeng Chen, Wayne Xin Zhao, Jing Sha, Zhichao Sheng, Shijin Wang, Ji-Rong Wen
2024	J	`jnl`	KG-Agent: An Efficient Autonomous Agent Framework for Complex Reasoning over Knowledge Graph. CoRR Jinhao Jiang, Kun Zhou, Wayne Xin Zhao, Yang Song, Chen Zhu, Hengshu Zhu, Ji-Rong Wen
2024	J	`jnl`	LLMBox: A Comprehensive Library for Large Language Models. CoRR Tianyi Tang, Yiwen Hu, Bingqian Li, Wenyang Luo, Zijing Qin, Haoxiang Sun, Jiapeng Wang, Shiyi Xu, Xiaoxue Cheng, Geyang Guo, Han Peng, Bowen Zheng, Yiru Tang, Yingqian Min, Yushuo Chen, Jie Chen, Yuanqian Zhao, Luran Ding, Yuhao Wang, Zican Dong, Chunxuan Xia, Junyi Li, Kun Zhou, Wayne Xin Zhao, Ji-Rong Wen
2024	—	`conf`	Large Language Models are Zero-Shot Rankers for Recommender Systems. ECIR (2) Yupeng Hou, Junjie Zhang, Zihan Lin, Hongyu Lu, Ruobing Xie, Julian J. McAuley, Wayne Xin Zhao
2024	J	`jnl`	Less is More: Data Value Estimation for Visual Instruction Tuning. CoRR Zikang Liu, Kun Zhou, Wayne Xin Zhao, Dawei Gao, Yaliang Li, Ji-Rong Wen
2024	J	`jnl`	Low-Redundant Optimization for Large Language Model Alignment. CoRR Zhipeng Chen, Kun Zhou, Wayne Xin Zhao, Jingyuan Wang, Ji-Rong Wen
2024	J	`jnl`	Mix-CPT: A Domain Adaptation Framework via Decoupling Knowledge Learning and Format Alignment. CoRR Jinhao Jiang, Junyi Li, Wayne Xin Zhao, Yang Song, Tao Zhang, Ji-Rong Wen
2024	J	`jnl`	Neuron-based Personality Trait Induction in Large Language Models. CoRR Jia Deng, Tianyi Tang, Yanbin Yin, Wenhao Yang, Wayne Xin Zhao, Ji-Rong Wen
2024	—	`conf`	Not All Metrics Are Guilty: Improving NLG Evaluation by Diversifying References. NAACL-HLT Tianyi Tang, Hongyuan Lu, Yuchen Jiang, Haoyang Huang, Dongdong Zhang, Wayne Xin Zhao, Tom Kocmi, Furu Wei
2024	J	`jnl`	On Domain-Specific Post-Training for Multimodal Large Language Models. CoRR Daixuan Cheng, Shaohan Huang, Ziyu Zhu, Xintong Zhang, Wayne Xin Zhao, Zhongzhi Luan, Bo Dai, Zhenliang Zhang
2024	J	`jnl`	Pre-Trained Language Models for Text Generation: A Survey. ACM Comput. Surv. Junyi Li, Tianyi Tang, Wayne Xin Zhao, Jian-Yun Nie, Ji-Rong Wen
2024	A	`conf`	Promoting Two-sided Fairness with Adaptive Weights for Providers and Customers in Recommendation. RecSys Lanling Xu, Zihan Lin, Jinpeng Wang, Sheng Chen, Wayne Xin Zhao, Ji-Rong Wen
2024	J	`jnl`	Prompting Large Language Models for Recommender Systems: A Comprehensive Framework and Empirical Analysis. CoRR Lanling Xu, Junjie Zhang, Bingqian Li, Jinpeng Wang, Mingchen Cai, Wayne Xin Zhao, Ji-Rong Wen
2024	J	`jnl`	RAG-Star: Enhancing Deliberative Reasoning with Retrieval Augmented Verification and Refinement. CoRR Jinhao Jiang, Jiayi Chen, Junyi Li, Ruiyang Ren, Shijie Wang, Wayne Xin Zhao, Yang Song, Tao Zhang
2024	J	`jnl`	REAR: A Relevance-Aware Retrieval-Augmented Framework for Open-Domain Question Answering. CoRR Yuhao Wang, Ruiyang Ren, Junyi Li, Wayne Xin Zhao, Jing Liu, Ji-Rong Wen
2024	J	`jnl`	ReasoningLM: Enabling Structural Subgraph Reasoning in Pre-trained Language Models for Question Answering over Knowledge Graph. CoRR Jinhao Jiang, Kun Zhou, Wayne Xin Zhao, Yaliang Li, Ji-Rong Wen
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`	Rotative Factorization Machines. KDD Zhen Tian, Yuhong Shi, Xiangkun Wu, Wayne Xin Zhao, Ji-Rong Wen
2024	A	`conf`	Scaling Law of Large Sequential Recommendation Models. RecSys Gaowei Zhang, Yupeng Hou, Hongyu Lu, Yu Chen, Wayne Xin Zhao, Ji-Rong Wen
2024	J	`jnl`	Self-Calibrated Listwise Reranking with Large Language Models. CoRR Ruiyang Ren, Yuhao Wang, Kun Zhou, Wayne Xin Zhao, Wenjie Wang, Jing Liu, Ji-Rong Wen, Tat-Seng Chua
2024	A	`conf`	Sequence-level Semantic Representation Fusion for Recommender Systems. CIKM Lanling Xu, Zhen Tian, Bingqian Li, Junjie Zhang, Daoyuan Wang, Hongyu Wang, Jinpeng Wang, Sheng Chen, Wayne Xin Zhao
2024	J	`jnl`	Sequence-level Semantic Representation Fusion for Recommender Systems. CoRR Lanling Xu, Zhen Tian, Bingqian Li, Junjie Zhang, Jinpeng Wang, Mingchen Cai, Wayne Xin Zhao
2024	J	`jnl`	Small Agent Can Also Rock! Empowering Small Language Models as Hallucination Detector. CoRR Xiaoxue Cheng, Junyi Li, Wayne Xin Zhao, Hongzhi Zhang, Fuzheng Zhang, Di Zhang, Kun Gai, Ji-Rong Wen
2024	J	`jnl`	Technical Report: Enhancing LLM Reasoning with Reward-guided Tree Search. CoRR Jinhao Jiang, Zhipeng Chen, Yingqian Min, Jie Chen, Xiaoxue Cheng, Jiapeng Wang, Yiru Tang, Haoxiang Sun, Jia Deng, Wayne Xin Zhao, Zheng Liu, Dong Yan, Jian Xie, Zhongyuan Wang, Ji-Rong Wen
2024	—	`conf`	The 2nd Workshop on Recommendation with Generative Models. WWW (Companion Volume) Wenjie Wang, Yang Zhang, Xinyu Lin, Fuli Feng, Weiwen Liu, Yong Liu, Xiangyu Zhao, Wayne Xin Zhao, Yang Song, Xiangnan He
2024	J	`jnl`	The 2nd Workshop on Recommendation with Generative Models. CoRR Wenjie Wang, Yang Zhang, Xinyu Lin, Fuli Feng, Weiwen Liu, Yong Liu, Xiangyu Zhao, Wayne Xin Zhao, Yang Song, Xiangnan He
2024	J	`jnl`	The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models. CoRR Junyi Li, Jie Chen, Ruiyang Ren, Xiaoxue Cheng, Wayne Xin Zhao, Jian-Yun Nie, Ji-Rong Wen
2024	J	`jnl`	Towards Coarse-to-Fine Evaluation of Inference Efficiency for Large Language Models. CoRR Yushuo Chen, Tianyi Tang, Erge Xiang, Linjiang Li, Wayne Xin Zhao, Jing Wang, Yunpeng Chai, 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	J	`jnl`	Towards Event-oriented Long Video Understanding. CoRR Yifan Du, Kun Zhou, Yuqi Huo, Yifan Li, Wayne Xin Zhao, Haoyu Lu, Zijia Zhao, Bingning Wang, Weipeng Chen, Ji-Rong Wen
2024	J	`jnl`	Unleashing the Potential of Large Language Models as Prompt Optimizers: An Analogical Analysis with Gradient-based Model Optimizers. CoRR Xinyu Tang, Xiaolei Wang, Wayne Xin Zhao, Siyuan Lu, Yaliang Li, Ji-Rong Wen
2024	J	`jnl`	Unlocking Data-free Low-bit Quantization with Matrix Decomposition for KV Cache Compression. CoRR Peiyu Liu, Ze-Feng Gao, Wayne Xin Zhao, Yipeng Ma, Tao Wang, Ji-Rong Wen
2024	J	`jnl`	Unlocking the Power of Spatial and Temporal Information in Medical Multimodal Pre-training. CoRR Jinxia Yang, Bing Su, Wayne Xin Zhao, Ji-Rong Wen
2024	J	`jnl`	Unveiling the Flaws: Exploring Imperfections in Synthetic Data and Mitigation Strategies for Large Language Models. CoRR Jie Chen, Yupeng Zhang, Bingning Wang, Wayne Xin Zhao, Ji-Rong Wen, Weipeng Chen
2024	J	`jnl`	YuLan-Mini: An Open Data-efficient Language Model. CoRR Yiwen Hu, Huatong Song, Jia Deng, Jiapeng Wang, Jie Chen, Kun Zhou, Yutao Zhu, Jinhao Jiang, Zican Dong, Wayne Xin Zhao, Ji-Rong Wen
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`	A Revisiting Study of Appropriate Offline Evaluation for Top- ACM Trans. Inf. Syst. Wayne Xin Zhao, Zihan Lin, Zhichao Feng, Pengfei Wang, Ji-Rong Wen
2023	J	`jnl`	A Survey of Large Language Models. CoRR Wayne Xin Zhao, Kun Zhou, Junyi Li, Tianyi Tang, Xiaolei Wang, Yupeng Hou, Yingqian Min, Beichen Zhang, Junjie Zhang, Zican Dong, Yifan Du, Chen Yang, Yushuo Chen, Zhipeng Chen, Jinhao Jiang, Ruiyang Ren, Yifan Li, Xinyu Tang, Zikang Liu, Peiyu Liu, Jian-Yun Nie, Ji-Rong Wen
2023	J	`jnl`	A Survey on Large Language Model based Autonomous Agents. CoRR Lei Wang, Chen Ma, Xueyang Feng, Zeyu Zhang, Hao Yang, Jingsen Zhang, Zhiyuan Chen, Jiakai Tang, Xu Chen, Yankai Lin, Wayne Xin Zhao, Zhewei Wei, Ji-Rong Wen
2023	J	`jnl`	A Survey on Long Text Modeling with Transformers. CoRR Zican Dong, Tianyi Tang, Junyi Li, Wayne Xin Zhao
2023	J	`jnl`	Adapting Large Language Models by Integrating Collaborative Semantics for Recommendation. CoRR Bowen Zheng, Yupeng Hou, Hongyu Lu, Yu Chen, Wayne Xin Zhao, Ming Chen, Ji-Rong Wen
2023	J	`jnl`	AgentCF: Collaborative Learning with Autonomous Language Agents for Recommender Systems. CoRR Junjie Zhang, Yupeng Hou, Ruobing Xie, Wenqi Sun, Julian J. McAuley, Wayne Xin Zhao, Leyu Lin, Ji-Rong Wen
2023	A	`conf`	Alleviating the Long-Tail Problem in Conversational Recommender Systems. RecSys Zhipeng Zhao, Kun Zhou, Xiaolei Wang, Wayne Xin Zhao, Fan Pan, Zhao Cao, Ji-Rong Wen
2023	J	`jnl`	Alleviating the Long-Tail Problem in Conversational Recommender Systems. CoRR Zhipeng Zhao, Kun Zhou, Xiaolei Wang, Wayne Xin Zhao, Fan Pan, Zhao Cao, Ji-Rong Wen
2023	J	`jnl`	BAMBOO: A Comprehensive Benchmark for Evaluating Long Text Modeling Capacities of Large Language Models. CoRR Zican Dong, Tianyi Tang, Junyi Li, Wayne Xin Zhao, Ji-Rong Wen
2023	J	`jnl`	Beyond Imitation: Leveraging Fine-grained Quality Signals for Alignment. CoRR Geyang Guo, Ranchi Zhao, Tianyi Tang, Wayne Xin Zhao, Ji-Rong Wen
2023	J	`jnl`	ChatCoT: Tool-Augmented Chain-of-Thought Reasoning on Chat-based Large Language Models. CoRR Zhipeng Chen, Kun Zhou, Beichen Zhang, Zheng Gong, Wayne Xin Zhao, Ji-Rong Wen
2023	J	`jnl`	Complex Knowledge Base Question Answering: A Survey. IEEE Trans. Knowl. Data Eng. Yunshi Lan, Gaole He, Jinhao Jiang, Jing Jiang, Wayne Xin Zhao, Ji-Rong Wen
2023	A*	`conf`	Continuous Trajectory Generation Based on Two-Stage GAN. AAAI Wenjun Jiang, Wayne Xin Zhao, Jingyuan Wang, Jiawei Jiang
2023	J	`jnl`	Continuous Trajectory Generation Based on Two-Stage GAN. CoRR Wenjun Jiang, Wayne Xin Zhao, Jingyuan Wang, Jiawei Jiang
2023	J	`jnl`	Data Augmented Sequential Recommendation Based on Counterfactual Thinking. IEEE Trans. Knowl. Data Eng. Xu Chen, Zhenlei Wang, Hongteng Xu, Jingsen Zhang, Yongfeng Zhang, Wayne Xin Zhao, Ji-Rong Wen
2023	A*	`conf`	Diffusion Models for Non-autoregressive Text Generation: A Survey. IJCAI Yifan Li, Kun Zhou, Wayne Xin Zhao, Ji-Rong Wen
2023	J	`jnl`	Diffusion Models for Non-autoregressive Text Generation: A Survey. CoRR Yifan Li, Kun Zhou, Wayne Xin Zhao, Ji-Rong Wen
2023	J	`jnl`	Diffusion-NAT: Self-Prompting Discrete Diffusion for Non-Autoregressive Text Generation. CoRR Kun Zhou, Yifan Li, Wayne Xin Zhao, Ji-Rong Wen
2023	A	`conf`	Directed Acyclic Graph Factorization Machines for CTR Prediction via Knowledge Distillation. WSDM Zhen Tian, Ting Bai, Zibin Zhang, Zhiyuan Xu, Kangyi Lin, Ji-Rong Wen, Wayne Xin Zhao
2023	J	`jnl`	Do Emergent Abilities Exist in Quantized Large Language Models: An Empirical Study. CoRR Peiyu Liu, Zikang Liu, Ze-Feng Gao, Dawei Gao, Wayne Xin Zhao, Yaliang Li, Bolin Ding, Ji-Rong Wen
2023	J	`jnl`	Don't Make Your LLM an Evaluation Benchmark Cheater. CoRR Kun Zhou, Yutao Zhu, Zhipeng Chen, Wentong Chen, Wayne Xin Zhao, Xu Chen, Yankai Lin, Ji-Rong Wen, Jiawei Han
2023	J	`jnl`	Enhancing Multi-View Smoothness for Sequential Recommendation Models. ACM Trans. Inf. Syst. Kun Zhou, Hui Wang, Ji-Rong Wen, Wayne Xin Zhao
2023	A*	`conf`	EulerNet: Adaptive Feature Interaction Learning via Euler's Formula for CTR Prediction. SIGIR Zhen Tian, Ting Bai, Wayne Xin Zhao, Ji-Rong Wen, Zhao Cao
2023	J	`jnl`	EulerNet: Adaptive Feature Interaction Learning via Euler's Formula for CTR Prediction. CoRR Zhen Tian, Ting Bai, Wayne Xin Zhao, Ji-Rong Wen, Zhao Cao
2023	A*	`conf`	Evaluating Object Hallucination in Large Vision-Language Models. EMNLP Yifan Li, Yifan Du, Kun Zhou, Jinpeng Wang, Wayne Xin Zhao, Ji-Rong Wen
2023	J	`jnl`	Evaluating Object Hallucination in Large Vision-Language Models. CoRR Yifan Li, Yifan Du, Kun Zhou, Jinpeng Wang, Wayne Xin Zhao, Ji-Rong Wen
2023	J	`jnl`	Evaluating and Improving Tool-Augmented Computation-Intensive Math Reasoning. CoRR Beichen Zhang, Kun Zhou, Xilin Wei, Wayne Xin Zhao, Jing Sha, Shijin Wang, Ji-Rong Wen
2023	A	`conf`	Generative Next-Basket Recommendation. RecSys Wenqi Sun, Ruobing Xie, Junjie Zhang, Wayne Xin Zhao, Leyu Lin, Ji-Rong Wen
2023	J	`jnl`	HaluEval: A Large-Scale Hallucination Evaluation Benchmark for Large Language Models. CoRR Junyi Li, Xiaoxue Cheng, Wayne Xin Zhao, Jian-Yun Nie, Ji-Rong Wen
2023	A	`conf`	Hybrid Contrastive Constraints for Multi-Scenario Ad Ranking. CIKM Shanlei Mu, Penghui Wei, Wayne Xin Zhao, Shaoguo Liu, Liang Wang, Bo Zheng
2023	J	`jnl`	Hybrid Contrastive Constraints for Multi-Scenario Ad Ranking. CoRR Shanlei Mu, Penghui Wei, Wayne Xin Zhao, Shaoguo Liu, Liang Wang, Bo Zheng
2023	A*	`conf`	Improving Conversational Recommendation Systems via Counterfactual Data Simulation. KDD Xiaolei Wang, Kun Zhou, Xinyu Tang, Wayne Xin Zhao, Fan Pan, Zhao Cao, Ji-Rong Wen
2023	J	`jnl`	Improving Conversational Recommendation Systems via Counterfactual Data Simulation. CoRR Xiaolei Wang, Kun Zhou, Xinyu Tang, Wayne Xin Zhao, Fan Pan, Zhao Cao, Ji-Rong Wen
2023	J	`jnl`	Investigating the Factual Knowledge Boundary of Large Language Models with Retrieval Augmentation. CoRR Ruiyang Ren, Yuhao Wang, Yingqi Qu, Wayne Xin Zhao, Jing Liu, Hao Tian, Hua Wu, Ji-Rong Wen, Haifeng Wang
2023	J	`jnl`	JiuZhang 2.0: A Unified Chinese Pre-trained Language Model for Multi-task Mathematical Problem Solving. CoRR Wayne Xin Zhao, Kun Zhou, Beichen Zhang, Zheng Gong, Zhipeng Chen, Yuanhang Zhou, Ji-Rong Wen, Jing Sha, Shijin Wang, Cong Liu, Guoping Hu
2023	J	`jnl`	Large Language Models are Zero-Shot Rankers for Recommender Systems. CoRR Yupeng Hou, Junjie Zhang, Zihan Lin, Hongyu Lu, Ruobing Xie, Julian J. McAuley, Wayne Xin Zhao
2023	A*	`conf`	Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders. WWW Yupeng Hou, Zhankui He, Julian J. McAuley, Wayne Xin Zhao
2023	—	`conf`	Learning to Imagine: Visually-Augmented Natural Language Generation. ACL (1) Tianyi Tang, Yushuo Chen, Yifan Du, Junyi Li, Wayne Xin Zhao, Ji-Rong Wen
2023	J	`jnl`	Learning to Imagine: Visually-Augmented Natural Language Generation. CoRR Tianyi Tang, Yushuo Chen, Yifan Du, Junyi Li, Wayne Xin Zhao, Ji-Rong Wen
2023	J	`jnl`	Learning to Perturb for Contrastive Learning of Unsupervised Sentence Representations. IEEE ACM Trans. Audio Speech Lang. Process. Kun Zhou, Yuanhang Zhou, Wayne Xin Zhao, Ji-Rong Wen
2023	—	`conf`	MASTER: Multi-task Pre-trained Bottlenecked Masked Autoencoders Are Better Dense Retrievers. ECML/PKDD (2) Kun Zhou, Xiao Liu, Yeyun Gong, Wayne Xin Zhao, Daxin Jiang, Nan Duan, Ji-Rong Wen
2023	—	`conf`	MVP: Multi-task Supervised Pre-training for Natural Language Generation. ACL (Findings) Tianyi Tang, Junyi Li, Wayne Xin Zhao, Ji-Rong Wen
2023	J	`jnl`	Multi-grained Hypergraph Interest Modeling for Conversational Recommendation. CoRR Chenzhan Shang, Yupeng Hou, Wayne Xin Zhao, Yaliang Li, Jing Zhang
2023	J	`jnl`	Multi-grained hypergraph interest modeling for conversational recommendation. AI Open Chenzhan Shang, Yupeng Hou, Wayne Xin Zhao, Yaliang Li, Jing Zhang
2023	A	`conf`	Multi-modal Mixture of Experts Represetation Learning for Sequential Recommendation. CIKM Shuqing Bian, Xingyu Pan, Wayne Xin Zhao, Jinpeng Wang, Chuyuan Wang, Ji-Rong Wen
2023	J	`jnl`	Not All Languages Are Created Equal in LLMs: Improving Multilingual Capability by Cross-Lingual-Thought Prompting. CoRR Haoyang Huang, Tianyi Tang, Dongdong Zhang, Wayne Xin Zhao, Ting Song, Yan Xia, Furu Wei
2023	J	`jnl`	Not All Metrics Are Guilty: Improving NLG Evaluation with LLM Paraphrasing. CoRR Tianyi Tang, Hongyuan Lu, Yuchen Eleanor Jiang, Haoyang Huang, Dongdong Zhang, Wayne Xin Zhao, Furu Wei
2023	A*	`conf`	PDFormer: Propagation Delay-Aware Dynamic Long-Range Transformer for Traffic Flow Prediction. AAAI Jiawei Jiang, Chengkai Han, Wayne Xin Zhao, Jingyuan Wang
2023	J	`jnl`	PDFormer: Propagation Delay-aware Dynamic Long-range Transformer for Traffic Flow Prediction. CoRR Jiawei Jiang, Chengkai Han, Wayne Xin Zhao, Jingyuan Wang
2023	A	`conf`	Periodicity May Be Emanative: Hierarchical Contrastive Learning for Sequential Recommendation. CIKM Changxin Tian, Binbin Hu, Wayne Xin Zhao, Zhiqiang Zhang, Jun Zhou
2023	A*	`conf`	ReasoningLM: Enabling Structural Subgraph Reasoning in Pre-trained Language Models for Question Answering over Knowledge Graph. EMNLP Jinhao Jiang, Kun Zhou, Wayne Xin Zhao, Yaliang Li, Ji-Rong Wen
2023	J	`jnl`	RecAgent: A Novel Simulation Paradigm for Recommender Systems. CoRR Lei Wang, Jingsen Zhang, Xu Chen, Yankai Lin, Ruihua Song, Wayne Xin Zhao, Ji-Rong Wen
2023	A	`conf`	Reciprocal Sequential Recommendation. RecSys Bowen Zheng, Yupeng Hou, Wayne Xin Zhao, Yang Song, Hengshu Zhu
2023	J	`jnl`	Reciprocal Sequential Recommendation. CoRR Bowen Zheng, Yupeng Hou, Wayne Xin Zhao, Yang Song, Hengshu Zhu
2023	J	`jnl`	Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach. CoRR Junjie Zhang, Ruobing Xie, Yupeng Hou, Wayne Xin Zhao, Leyu Lin, Ji-Rong Wen
2023	J	`jnl`	RenderDiffusion: Text Generation as Image Generation. CoRR Junyi Li, Wayne Xin Zhao, Jian-Yun Nie, Ji-Rong Wen
2023	J	`jnl`	Rethinking the Evaluation for Conversational Recommendation in the Era of Large Language Models. CoRR Xiaolei Wang, Xinyu Tang, Wayne Xin Zhao, Jingyuan Wang, Ji-Rong Wen
2023	J	`jnl`	Scaling Law of Large Sequential Recommendation Models. CoRR Gaowei Zhang, Yupeng Hou, Hongyu Lu, Yu Chen, Wayne Xin Zhao, Ji-Rong Wen
2023	J	`jnl`	Scaling Pre-trained Language Models to Deeper via Parameter-efficient Architecture. CoRR Peiyu Liu, Ze-Feng Gao, Yushuo Chen, Wayne Xin Zhao, Ji-Rong Wen
2023	—	`conf`	Small Pre-trained Language Models Can be Fine-tuned as Large Models via Over-Parameterization. ACL (1) Ze-Feng Gao, Kun Zhou, Peiyu Liu, Wayne Xin Zhao, Ji-Rong Wen
2023	J	`jnl`	StructGPT: A General Framework for Large Language Model to Reason over Structured Data. CoRR Jinhao Jiang, Kun Zhou, Zican Dong, Keming Ye, Wayne Xin Zhao, Ji-Rong Wen
2023	—	`conf`	TOME: A Two-stage Approach for Model-based Retrieval. ACL (1) Ruiyang Ren, Wayne Xin Zhao, Jing Liu, Hua Wu, Ji-Rong Wen, Haifeng Wang
2023	J	`jnl`	TOME: A Two-stage Approach for Model-based Retrieval. CoRR Ruiyang Ren, Wayne Xin Zhao, Jing Liu, Hua Wu, Ji-Rong Wen, Haifeng Wang
2023	—	`conf`	The Web Can Be Your Oyster for Improving Language Models. ACL (Findings) Junyi Li, Tianyi Tang, Wayne Xin Zhao, Jingyuan Wang, Jian-Yun Nie, Ji-Rong Wen
2023	J	`jnl`	The Web Can Be Your Oyster for Improving Large Language Models. CoRR Junyi Li, Tianyi Tang, Wayne Xin Zhao, Jingyuan Wang, Jian-Yun Nie, Ji-Rong Wen
2023	J	`jnl`	TikTalk: A Multi-Modal Dialogue Dataset for Real-World Chitchat. CoRR Hongpeng Lin, Ludan Ruan, Wenke Xia, Peiyu Liu, Jingyuan Wen, Yixin Xu, Di Hu, Ruihua Song, Wayne Xin Zhao, Qin Jin, Zhiwu Lu
2023	A*	`conf`	TikTalk: A Video-Based Dialogue Dataset for Multi-Modal Chitchat in Real World. ACM Multimedia Hongpeng Lin, Ludan Ruan, Wenke Xia, Peiyu Liu, Jingyuan Wen, Yixin Xu, Di Hu, Ruihua Song, Wayne Xin Zhao, Qin Jin, Zhiwu Lu
2023	—	`conf`	Towards Effective Ancient Chinese Translation: Dataset, Model, and Evaluation. NLPCC (2) Geyang Guo, Jiarong Yang, Fengyuan Lu, Jiaxin Qin, Tianyi Tang, Wayne Xin Zhao
2023	J	`jnl`	Towards Effective Ancient Chinese Translation: Dataset, Model, and Evaluation. CoRR Geyang Guo, Jiarong Yang, Fengyuan Lu, Jiaxin Qin, Tianyi Tang, Wayne Xin Zhao
2023	J	`jnl`	Towards Efficient and Comprehensive Urban Spatial-Temporal Prediction: A Unified Library and Performance Benchmark. CoRR Jingyuan Wang, Jiawei Jiang, Wenjun Jiang, Chengkai Han, Wayne Xin Zhao
2023	—	`conf`	Towards Efficient and Effective Transformers for Sequential Recommendation. DASFAA (2) Wenqi Sun, Zheng Liu, Xinyan Fan, Ji-Rong Wen, Wayne Xin Zhao
2023	A*	`conf`	Towards a More User-Friendly and Easy-to-Use Benchmark Library for Recommender Systems. SIGIR Lanling Xu, Zhen Tian, Gaowei Zhang, Junjie Zhang, Lei Wang, Bowen Zheng, Yifan Li, Jiakai Tang, Zeyu Zhang, Yupeng Hou, Xingyu Pan, Wayne Xin Zhao, Xu Chen, Ji-Rong Wen
2023	J	`jnl`	UFIN: Universal Feature Interaction Network for Multi-Domain Click-Through Rate Prediction. CoRR Zhen Tian, Changwang Zhang, Wayne Xin Zhao, Xin Zhao, Ji-Rong Wen, Zhao Cao
2023	J	`jnl`	Unified Data Management and Comprehensive Performance Evaluation for Urban Spatial-Temporal Prediction [Experiment, Analysis & Benchmark]. CoRR Jiawei Jiang, Chengkai Han, Wayne Xin Zhao, Jingyuan Wang
2023	J	`jnl`	Universal Multi-modal Multi-domain Pre-trained Recommendation. CoRR Wenqi Sun, Ruobing Xie, Shuqing Bian, Wayne Xin Zhao, Jie Zhou
2023	—	`conf`	Visually-augmented pretrained language models for NLP tasks without images. ACL (1) Hangyu Guo, Kun Zhou, Wayne Xin Zhao, Qinyu Zhang, Ji-Rong Wen
2023	J	`jnl`	What Makes for Good Visual Instructions? Synthesizing Complex Visual Reasoning Instructions for Visual Instruction Tuning. CoRR Yifan Du, Hangyu Guo, Kun Zhou, Wayne Xin Zhao, Jinpeng Wang, Chuyuan Wang, Mingchen Cai, Ruihua Song, Ji-Rong Wen
2023	—	`conf`	Zero-shot Visual Question Answering with Language Model Feedback. ACL (Findings) Yifan Du, Junyi Li, Tianyi Tang, Wayne Xin Zhao, Ji-Rong Wen
2023	J	`jnl`	Zero-shot Visual Question Answering with Language Model Feedback. CoRR Yifan Du, Junyi Li, Tianyi Tang, Wayne Xin Zhao, Ji-Rong Wen
2022	—	`conf`	$Great Truths are Always Simple: $ A Rather Simple Knowledge Encoder for Enhancing the Commonsense Reasoning Capacity of Pre-Trained Models. NAACL-HLT (Findings) Jinhao Jiang, Kun Zhou, Ji-Rong Wen, Wayne Xin Zhao
2022	A	`conf`	A Relevant and Diverse Retrieval-enhanced Data Augmentation Framework for Sequential Recommendation. CIKM Shuqing Bian, Wayne Xin Zhao, Jinpeng Wang, Ji-Rong Wen
2022	J	`jnl`	A Survey of Pretrained Language Models Based Text Generation. CoRR Junyi Li, Tianyi Tang, Wayne Xin Zhao, Jian-Yun Nie, Ji-Rong Wen
2022	A*	`conf`	A Survey of Vision-Language Pre-Trained Models. IJCAI Yifan Du, Zikang Liu, Junyi Li, Wayne Xin Zhao
2022	J	`jnl`	A Survey of Vision-Language Pre-Trained Models. CoRR Yifan Du, Zikang Liu, Junyi Li, Wayne Xin Zhao
2022	J	`jnl`	A Thorough Examination on Zero-shot Dense Retrieval. CoRR Ruiyang Ren, Yingqi Qu, Jing Liu, Wayne Xin Zhao, Qifei Wu, Yuchen Ding, Hua Wu, Haifeng Wang, Ji-Rong Wen
2022	A*	`conf`	Ada-Ranker: A Data Distribution Adaptive Ranking Paradigm for Sequential Recommendation. SIGIR Xinyan Fan, Jianxun Lian, Wayne Xin Zhao, Zheng Liu, Chaozhuo Li, Xing Xie
2022	J	`jnl`	Ada-Ranker: A Data Distribution Adaptive Ranking Paradigm for Sequential Recommendation. CoRR Xinyan Fan, Jianxun Lian, Wayne Xin Zhao, Zheng Liu, Chaozhuo Li, Xing Xie
2022	A*	`conf`	Alleviating Spurious Correlations in Knowledge-aware Recommendations through Counterfactual Generator. SIGIR Shanlei Mu, Yaliang Li, Wayne Xin Zhao, Jingyuan Wang, Bolin Ding, Ji-Rong Wen
2022	J	`jnl`	C2-CRS: Coarse-to-Fine Contrastive Learning for Conversational Recommender System. CoRR Yuanhang Zhou, Kun Zhou, Wayne Xin Zhao, Cheng Wang, Peng Jiang, He Hu
2022	A*	`conf`	CORE: Simple and Effective Session-based Recommendation within Consistent Representation Space. SIGIR Yupeng Hou, Binbin Hu, Zhiqiang Zhang, Wayne Xin Zhao
2022	J	`jnl`	CORE: Simple and Effective Session-based Recommendation within Consistent Representation Space. CoRR Yupeng Hou, Binbin Hu, Zhiqiang Zhang, Wayne Xin Zhao
2022	B	`conf`	Complex Question Answering over Incomplete Knowledge Graph as N-ary Link Prediction. IJCNN Daoguang Zan, Sirui Wang, Hongzhi Zhang, Kun Zhou, Wei Wu, Wayne Xin Zhao, Bingchao Wu, Bei Guan, Yongji Wang
2022	B	`conf`	Context-Tuning: Learning Contextualized Prompts for Natural Language Generation. COLING Tianyi Tang, Junyi Li, Wayne Xin Zhao, Ji-Rong Wen
2022	J	`jnl`	Context-Tuning: Learning Contextualized Prompts for Natural Language Generation. CoRR Tianyi Tang, Junyi Li, Wayne Xin Zhao
2022	—	`conf`	Continual Pre-training of Language Models for Math Problem Understanding with Syntax-Aware Memory Network. ACL (1) Zheng Gong, Kun Zhou, Wayne Xin Zhao, Jing Sha, Shijin Wang, Ji-Rong Wen
2022	A	`conf`	C²-CRS: Coarse-to-Fine Contrastive Learning for Conversational Recommender System. WSDM Yuanhang Zhou, Kun Zhou, Wayne Xin Zhao, Cheng Wang, Peng Jiang, He Hu
2022	—	`conf`	Debiased Contrastive Learning of Unsupervised Sentence Representations. ACL (1) Kun Zhou, Beichen Zhang, Wayne Xin Zhao, Ji-Rong Wen
2022	J	`jnl`	Debiased Contrastive Learning of Unsupervised Sentence Representations. CoRR Kun Zhou, Beichen Zhang, Wayne Xin Zhao, Ji-Rong Wen
2022	J	`jnl`	Dense Text Retrieval based on Pretrained Language Models: A Survey. CoRR Wayne Xin Zhao, Jing Liu, Ruiyang Ren, Ji-Rong Wen
2022	J	`jnl`	Directed Acyclic Graph Factorization Machines for CTR Prediction via Knowledge Distillation. CoRR Zhen Tian, Ting Bai, Zibin Zhang, Zhiyuan Xu, Kangyi Lin, Ji-Rong Wen, Wayne Xin Zhao
2022	A*	`conf`	ELMER: A Non-Autoregressive Pre-trained Language Model for Efficient and Effective Text Generation. EMNLP Junyi Li, Tianyi Tang, Wayne Xin Zhao, Jian-Yun Nie, Ji-Rong Wen
2022	J	`jnl`	ELMER: A Non-Autoregressive Pre-trained Language Model for Efficient and Effective Text Generation. CoRR Junyi Li, Tianyi Tang, Wayne Xin Zhao, Jian-Yun Nie, Ji-Rong Wen
2022	J	`jnl`	ElitePLM: An Empirical Study on General Language Ability Evaluation of Pretrained Language Models. CoRR Junyi Li, Tianyi Tang, Zheng Gong, Lixin Yang, Zhuohao Yu, Zhipeng Chen, Jingyuan Wang, Wayne Xin Zhao, Ji-Rong Wen
2022	A*	`conf`	Feature-aware Diversified Re-ranking with Disentangled Representations for Relevant Recommendation. KDD Zihan Lin, Hui Wang, Jingshu Mao, Wayne Xin Zhao, Cheng Wang, Peng Jiang, Ji-Rong Wen
2022	J	`jnl`	Feature-aware Diversified Re-ranking with Disentangled Representations for Relevant Recommendation. CoRR Zihan Lin, Hui Wang, Jingshu Mao, Wayne Xin Zhao, Cheng Wang, Peng Jiang, Ji-Rong Wen
2022	A*	`conf`	Filter-enhanced MLP is All You Need for Sequential Recommendation. WWW Kun Zhou, Hui Yu, Wayne Xin Zhao, Ji-Rong Wen
2022	J	`jnl`	Filter-enhanced MLP is All You Need for Sequential Recommendation. CoRR Kun Zhou, Hui Yu, Wayne Xin Zhao, Ji-Rong Wen
2022	A*	`conf`	Generative Adversarial Networks Enhanced Pre-training for Insufficient Electronic Health Records Modeling. KDD Houxing Ren, Jingyuan Wang, Wayne Xin Zhao
2022	J	`jnl`	Great Truths are Always Simple: A Rather Simple Knowledge Encoder for Enhancing the Commonsense Reasoning Capacity of Pre-Trained Models. CoRR Jinhao Jiang, Kun Zhou, Wayne Xin Zhao, Ji-Rong Wen
2022	—	`conf`	ID-Agnostic User Behavior Pre-training for Sequential Recommendation. CCIR Shanlei Mu, Yupeng Hou, Wayne Xin Zhao, Yaliang Li, Bolin Ding
2022	J	`jnl`	ID-Agnostic User Behavior Pre-training for Sequential Recommendation. CoRR Shanlei Mu, Yupeng Hou, Wayne Xin Zhao, Yaliang Li, Bolin Ding
2022	A*	`conf`	Improving Graph Collaborative Filtering with Neighborhood-enriched Contrastive Learning. WWW Zihan Lin, Changxin Tian, Yupeng Hou, Wayne Xin Zhao
2022	J	`jnl`	Improving Graph Collaborative Filtering with Neighborhood-enriched Contrastive Learning. CoRR Zihan Lin, Changxin Tian, Yupeng Hou, Wayne Xin Zhao
2022	J	`jnl`	Interpretable Aspect-Aware Capsule Network for Peer Review Based Citation Count Prediction. ACM Trans. Inf. Syst. Siqing Li, Yaliang Li, Wayne Xin Zhao, Bolin Ding, Ji-Rong Wen
2022	A*	`conf`	JiuZhang: A Chinese Pre-trained Language Model for Mathematical Problem Understanding. KDD Wayne Xin Zhao, Kun Zhou, Zheng Gong, Beichen Zhang, Yuanhang Zhou, Jing Sha, Zhigang Chen, Shijin Wang, Cong Liu, Ji-Rong Wen
2022	J	`jnl`	JiuZhang: A Chinese Pre-trained Language Model for Mathematical Problem Understanding. CoRR Wayne Xin Zhao, Kun Zhou, Zheng Gong, Beichen Zhang, Yuanhang Zhou, Jing Sha, Zhigang Chen, Shijin Wang, Cong Liu, Ji-Rong Wen
2022	J	`jnl`	Knowledge-Guided Disentangled Representation Learning for Recommender Systems. ACM Trans. Inf. Syst. Shanlei Mu, Yaliang Li, Wayne Xin Zhao, Siqing Li, Ji-Rong Wen
2022	J	`jnl`	Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders. CoRR Yupeng Hou, Zhankui He, Julian J. McAuley, Wayne Xin Zhao
2022	A*	`conf`	Learning to Denoise Unreliable Interactions for Graph Collaborative Filtering. SIGIR Changxin Tian, Yuexiang Xie, Yaliang Li, Nan Yang, Wayne Xin Zhao
2022	J	`jnl`	Learning to Transfer Prompts for Text Generation. CoRR Junyi Li, Tianyi Tang, Jian-Yun Nie, Ji-Rong Wen, Wayne Xin Zhao
2022	—	`conf`	Leveraging Search History for Improving Person-Job Fit. DASFAA (1) Yupeng Hou, Xingyu Pan, Wayne Xin Zhao, Shuqing Bian, Yang Song, Tao Zhang, Ji-Rong Wen
2022	J	`jnl`	Leveraging Search History for Improving Person-Job Fit. CoRR Yupeng Hou, Xingyu Pan, Wayne Xin Zhao, Shuqing Bian, Yang Song, Tao Zhang, Ji-Rong Wen
2022	J	`jnl`	MASTER: Multi-task Pre-trained Bottlenecked Masked Autoencoders are Better Dense Retrievers. CoRR Kun Zhou, Xiao Liu, Yeyun Gong, Wayne Xin Zhao, Daxin Jiang, Nan Duan, Ji-Rong Wen
2022	J	`jnl`	MVP: Multi-task Supervised Pre-training for Natural Language Generation. CoRR Tianyi Tang, Junyi Li, Wayne Xin Zhao, Ji-Rong Wen
2022	A	`conf`	Modeling Two-Way Selection Preference for Person-Job Fit. RecSys Chen Yang, Yupeng Hou, Yang Song, Tao Zhang, Ji-Rong Wen, Wayne Xin Zhao
2022	J	`jnl`	Modeling Two-Way Selection Preference for Person-Job Fit. CoRR Chen Yang, Yupeng Hou, Yang Song, Tao Zhang, Ji-Rong Wen, Wayne Xin Zhao
2022	A	`conf`	Multimodal Meta-Learning for Cold-Start Sequential Recommendation. CIKM Xingyu Pan, Yushuo Chen, Changxin Tian, Zihan Lin, Jinpeng Wang, He Hu, Wayne Xin Zhao
2022	J	`jnl`	Negative Sampling for Contrastive Representation Learning: A Review. CoRR Lanling Xu, Jianxun Lian, Wayne Xin Zhao, Ming Gong, Linjun Shou, Daxin Jiang, Xing Xie, Ji-Rong Wen
2022	A	`conf`	Neural Graph Matching for Pre-training Graph Neural Networks. SDM Yupeng Hou, Binbin Hu, Wayne Xin Zhao, Zhiqiang Zhang, Jun Zhou, Ji-Rong Wen
2022	J	`jnl`	Neural Graph Matching for Pre-training Graph Neural Networks. CoRR Yupeng Hou, Binbin Hu, Wayne Xin Zhao, Zhiqiang Zhang, Jun Zhou, Ji-Rong Wen
2022	B	`conf`	Parameter-Efficient Mixture-of-Experts Architecture for Pre-trained Language Models. COLING Ze-Feng Gao, Peiyu Liu, Wayne Xin Zhao, Zhong-Yi Lu, Ji-Rong Wen
2022	J	`jnl`	Parameter-Efficient Mixture-of-Experts Architecture for Pre-trained Language Models. CoRR Ze-Feng Gao, Peiyu Liu, Wayne Xin Zhao, Zhong-Yi Lu, Ji-Rong Wen
2022	J	`jnl`	Personalized Inter-Task Contrastive Learning for CTR&CVR Joint Estimation. CoRR Zihan Lin, Xuanhua Yang, Shaoguo Liu, Xiaoyu Peng, Wayne Xin Zhao, Liang Wang, Bo Zheng
2022	J	`jnl`	Personalized Route Recommendation With Neural Network Enhanced Search Algorithm. IEEE Trans. Knowl. Data Eng. Jingyuan Wang, Ning Wu, Wayne Xin Zhao
2022	A*	`conf`	Privacy-Preserved Neural Graph Similarity Learning. ICDM Yupeng Hou, Wayne Xin Zhao, Yaliang Li, Ji-Rong Wen
2022	J	`jnl`	Privacy-Preserved Neural Graph Similarity Learning. CoRR Yupeng Hou, Wayne Xin Zhao, Yaliang Li, Ji-Rong Wen
2022	A	`conf`	RSD: A Reinforced Siamese Network with Domain Knowledge for Early Diagnosis. CIKM Houxing Ren, Jingyuan Wang, Wayne Xin Zhao
2022	A	`conf`	RecBole 2.0: Towards a More Up-to-Date Recommendation Library. CIKM Wayne Xin Zhao, Yupeng Hou, Xingyu Pan, Chen Yang, Zeyu Zhang, Zihan Lin, Jingsen Zhang, Shuqing Bian, Jiakai Tang, Wenqi Sun, Yushuo Chen, Lanling Xu, Gaowei Zhang, Zhen Tian, Changxin Tian, Shanlei Mu, Xinyan Fan, Xu Chen, Ji-Rong Wen
2022	J	`jnl`	RecBole 2.0: Towards a More Up-to-Date Recommendation Library. CoRR Wayne Xin Zhao, Yupeng Hou, Xingyu Pan, Chen Yang, Zeyu Zhang, Zihan Lin, Jingsen Zhang, Shuqing Bian, Jiakai Tang, Wenqi Sun, Yushuo Chen, Lanling Xu, Gaowei Zhang, Zhen Tian, Changxin Tian, Shanlei Mu, Xinyan Fan, Xu Chen, Ji-Rong Wen
2022	J	`jnl`	Recent Advances in RecBole: Extensions with more Practical Considerations. CoRR Lanling Xu, Zhen Tian, Gaowei Zhang, Lei Wang, Junjie Zhang, Bowen Zheng, Yifan Li, Yupeng Hou, Xingyu Pan, Yushuo Chen, Wayne Xin Zhao, Xu Chen, Ji-Rong Wen
2022	J	`jnl`	Self-Supervised learning for Conversational Recommendation. Inf. Process. Manag. Shuokai Li, Ruobing Xie, Yongchun Zhu, Fuzhen Zhuang, Zhenwei Tang, Wayne Xin Zhao, Qing He
2022	—	`conf`	SimANS: Simple Ambiguous Negatives Sampling for Dense Text Retrieval. EMNLP (Industry Track) Kun Zhou, Yeyun Gong, Xiao Liu, Wayne Xin Zhao, Yelong Shen, Anlei Dong, Jingwen Lu, Rangan Majumder, Ji-Rong Wen, Nan Duan
2022	J	`jnl`	SimANS: Simple Ambiguous Negatives Sampling for Dense Text Retrieval. CoRR Kun Zhou, Yeyun Gong, Xiao Liu, Wayne Xin Zhao, Yelong Shen, Anlei Dong, Jingwen Lu, Rangan Majumder, Ji-Rong Wen, Nan Duan, Weizhu Chen
2022	A	`conf`	Temporal Contrastive Pre-Training for Sequential Recommendation. CIKM Changxin Tian, Zihan Lin, Shuqing Bian, Jinpeng Wang, Wayne Xin Zhao
2022	—	`conf`	TextBox 2.0: A Text Generation Library with Pre-trained Language Models. EMNLP (Demos) Tianyi Tang, Junyi Li, Zhipeng Chen, Yiwen Hu, Zhuohao Yu, Wenxun Dai, Wayne Xin Zhao, Jian-Yun Nie, Ji-Rong Wen
2022	J	`jnl`	TextBox 2.0: A Text Generation Library with Pre-trained Language Models. CoRR Tianyi Tang, Junyi Li, Zhipeng Chen, Yiwen Hu, Zhuohao Yu, Wenxun Dai, Zican Dong, Xiaoxue Cheng, Yuhao Wang, Wayne Xin Zhao, Jian-Yun Nie, Ji-Rong Wen
2022	A*	`conf`	Towards Unified Conversational Recommender Systems via Knowledge-Enhanced Prompt Learning. KDD Xiaolei Wang, Kun Zhou, Ji-Rong Wen, Wayne Xin Zhao
2022	J	`jnl`	Towards Unified Conversational Recommender Systems via Knowledge-Enhanced Prompt Learning. CoRR Xiaolei Wang, Kun Zhou, Ji-Rong Wen, Wayne Xin Zhao
2022	A*	`conf`	Towards Universal Sequence Representation Learning for Recommender Systems. KDD Yupeng Hou, Shanlei Mu, Wayne Xin Zhao, Yaliang Li, Bolin Ding, Ji-Rong Wen
2022	J	`jnl`	Towards Universal Sequence Representation Learning for Recommender Systems. CoRR Yupeng Hou, Shanlei Mu, Wayne Xin Zhao, Yaliang Li, Bolin Ding, Ji-Rong Wen
2022	J	`jnl`	UniKGQA: Unified Retrieval and Reasoning for Solving Multi-hop Question Answering Over Knowledge Graph. CoRR Jinhao Jiang, Kun Zhou, Wayne Xin Zhao, Ji-Rong Wen
2022	J	`jnl`	Visually-augmented pretrained language models for NLP tasks without images. CoRR Hangyu Guo, Kun Zhou, Wayne Xin Zhao, Qinyu Zhang, Ji-Rong Wen
2021	A*	`conf`	A Novel Macro-Micro Fusion Network for User Representation Learning on Mobile Apps. WWW Shuqing Bian, Wayne Xin Zhao, Kun Zhou, Xu Chen, Jing Cai, Yancheng He, Xingji Luo, Ji-Rong Wen
2021	—	`conf`	A Pretraining Numerical Reasoning Model for Ordinal Constrained Question Answering on Knowledge Base. EMNLP (Findings) Yu Feng, Jing Zhang, Gaole He, Wayne Xin Zhao, Lemao Liu, Quan Liu, Cuiping Li, Hong Chen
2021	A*	`conf`	A Survey on Complex Knowledge Base Question Answering: Methods, Challenges and Solutions. IJCAI Yunshi Lan, Gaole He, Jinhao Jiang, Jing Jiang, Wayne Xin Zhao, Ji-Rong Wen
2021	J	`jnl`	A Survey on Complex Knowledge Base Question Answering: Methods, Challenges and Solutions. CoRR Yunshi Lan, Gaole He, Jinhao Jiang, Jing Jiang, Wayne Xin Zhao, Ji-Rong Wen
2021	—	`conf`	CRSLab: An Open-Source Toolkit for Building Conversational Recommender System. ACL (demo) Kun Zhou, Xiaolei Wang, Yuanhang Zhou, Chenzhan Shang, Yuan Cheng, Wayne Xin Zhao, Yaliang Li, Ji-Rong Wen
2021	J	`jnl`	CRSLab: An Open-Source Toolkit for Building Conversational Recommender System. CoRR Kun Zhou, Xiaolei Wang, Yuanhang Zhou, Chenzhan Shang, Yuan Cheng, Wayne Xin Zhao, Yaliang Li, Ji-Rong Wen
2021	A	`conf`	Causally Attentive Collaborative Filtering. CIKM Jingsen Zhang, Xu Chen, Wayne Xin Zhao
2021	J	`jnl`	Complex Knowledge Base Question Answering: A Survey. CoRR Yunshi Lan, Gaole He, Jinhao Jiang, Jing Jiang, Wayne Xin Zhao, Ji-Rong Wen
2021	A	`conf`	Contrastive Curriculum Learning for Sequential User Behavior Modeling via Data Augmentation. CIKM Shuqing Bian, Wayne Xin Zhao, Kun Zhou, Jing Cai, Yancheng He, Cunxiang Yin, Ji-Rong Wen
2021	A*	`conf`	Counterfactual Data-Augmented Sequential Recommendation. SIGIR Zhenlei Wang, Jingsen Zhang, Hongteng Xu, Xu Chen, Yongfeng Zhang, Wayne Xin Zhao, Ji-Rong Wen
2021	A	`conf`	Counterfactual Review-based Recommendation. CIKM Kun Xiong, Wenwen Ye, Xu Chen, Yongfeng Zhang, Wayne Xin Zhao, Binbin Hu, Zhiqiang Zhang, Jun Zhou
2021	J	`jnl`	Curriculum Pre-Training Heterogeneous Subgraph Transformer for Top-N Recommendation. CoRR Hui Wang, Kun Zhou, Wayne Xin Zhao, Jingyuan Wang, Ji-Rong Wen
2021	A*	`conf`	Data Poisoning Attack against Recommender System Using Incomplete and Perturbed Data. KDD Hengtong Zhang, Changxin Tian, Yaliang Li, Lu Su, Nan Yang, Wayne Xin Zhao, Jing Gao
2021	A*	`conf`	Debiasing Learning based Cross-domain Recommendation. KDD Siqing Li, Liuyi Yao, Shanlei Mu, Wayne Xin Zhao, Yaliang Li, Tonglei Guo, Bolin Ding, Ji-Rong Wen
2021	J	`jnl`	Deep Trajectory Recovery with Fine-Grained Calibration using Kalman Filter. IEEE Trans. Knowl. Data Eng. Jingyuan Wang, Ning Wu, Xinxi Lu, Wayne Xin Zhao, Kai Feng
2021	A*	`conf`	Dual Sparse Attention Network For Session-based Recommendation. AAAI Jiahao Yuan, Zihan Song, Mingyou Sun, Xiaoling Wang, Wayne Xin Zhao
2021	—	`conf`	Enabling Lightweight Fine-tuning for Pre-trained Language Model Compression based on Matrix Product Operators. ACL/IJCNLP (1) Peiyu Liu, Ze-Feng Gao, Wayne Xin Zhao, Zhi-Yuan Xie, Zhong-Yi Lu, Ji-Rong Wen
2021	J	`jnl`	Enabling Lightweight Fine-tuning for Pre-trained Language Model Compression based on Matrix Product Operators. CoRR Peiyu Liu, Ze-Feng Gao, Wayne Xin Zhao, Zhi-Yuan Xie, Zhong-Yi Lu, Ji-Rong Wen
2021	—	`conf`	Few-shot Knowledge Graph-to-Text Generation with Pretrained Language Models. ACL/IJCNLP (Findings) Junyi Li, Tianyi Tang, Wayne Xin Zhao, Zhicheng Wei, Nicholas Jing Yuan, Ji-Rong Wen
2021	J	`jnl`	Few-shot Knowledge Graph-to-Text Generation with Pretrained Language Models. CoRR Junyi Li, Tianyi Tang, Wayne Xin Zhao, Zhicheng Wei, Nicholas Jing Yuan, Ji-Rong Wen
2021	—	`conf`	Generating Long and Coherent Text with Multi-Level Generative Adversarial Networks. APWeb/WAIM (2) Tianyi Tang, Junyi Li, Wayne Xin Zhao, Ji-Rong Wen
2021	A	`conf`	Improving Multi-hop Knowledge Base Question Answering by Learning Intermediate Supervision Signals. WSDM Gaole He, Yunshi Lan, Jing Jiang, Wayne Xin Zhao, Ji-Rong Wen
2021	J	`jnl`	Improving Multi-hop Knowledge Base Question Answering by Learning Intermediate Supervision Signals. CoRR Gaole He, Yunshi Lan, Jing Jiang, Wayne Xin Zhao, Ji-Rong Wen
2021	A*	`conf`	Knowledge-based Review Generation by Coherence Enhanced Text Planning. SIGIR Junyi Li, Wayne Xin Zhao, Zhicheng Wei, Nicholas Jing Yuan, Ji-Rong Wen
2021	J	`jnl`	Knowledge-based Review Generation by Coherence Enhanced Text Planning. CoRR Junyi Li, Wayne Xin Zhao, Zhicheng Wei, Nicholas Jing Yuan, Ji-Rong Wen
2021	A*	`conf`	Learning Reliable User Representations from Volatile and Sparse Data to Accurately Predict Customer Lifetime Value. KDD Mingzhe Xing, Shuqing Bian, Wayne Xin Zhao, Zhen Xiao, Xingji Luo, Cunxiang Yin, Jing Cai, Yancheng He
2021	—	`conf`	LibCity: An Open Library for Traffic Prediction. SIGSPATIAL/GIS Jingyuan Wang, Jiawei Jiang, Wenjun Jiang, Chao Li, Wayne Xin Zhao
2021	A*	`conf`	Lighter and Better: Low-Rank Decomposed Self-Attention Networks for Next-Item Recommendation. SIGIR Xinyan Fan, Zheng Liu, Jianxun Lian, Wayne Xin Zhao, Xing Xie, Ji-Rong Wen
2021	—	`conf`	PAIR: Leveraging Passage-Centric Similarity Relation for Improving Dense Passage Retrieval. ACL/IJCNLP (Findings) Ruiyang Ren, Shangwen Lv, Yingqi Qu, Jing Liu, Wayne Xin Zhao, Qiaoqiao She, Hua Wu, Haifeng Wang, Ji-Rong Wen
2021	J	`jnl`	PAIR: Leveraging Passage-Centric Similarity Relation for Improving Dense Passage Retrieval. CoRR Ruiyang Ren, Shangwen Lv, Yingqi Qu, Jing Liu, Wayne Xin Zhao, Qiaoqiao She, Hua Wu, Haifeng Wang, Ji-Rong Wen
2021	J	`jnl`	Pre-Trained Models: Past, Present and Future. CoRR Xu Han, Zhengyan Zhang, Ning Ding, Yuxian Gu, Xiao Liu, Yuqi Huo, Jiezhong Qiu, Liang Zhang, Wentao Han, Minlie Huang, Qin Jin, Yanyan Lan, Yang Liu, Zhiyuan Liu, Zhiwu Lu, Xipeng Qiu, Ruihua Song, Jie Tang, Ji-Rong Wen, Jinhui Yuan, Wayne Xin Zhao, Jun Zhu
2021	J	`jnl`	Pre-trained models: Past, present and future. AI Open Xu Han, Zhengyan Zhang, Ning Ding, Yuxian Gu, Xiao Liu, Yuqi Huo, Jiezhong Qiu, Yuan Yao, Ao Zhang, Liang Zhang, Wentao Han, Minlie Huang, Qin Jin, Yanyan Lan, Yang Liu, Zhiyuan Liu, Zhiwu Lu, Xipeng Qiu, Ruihua Song, Jie Tang, Ji-Rong Wen, Jinhui Yuan, Wayne Xin Zhao, Jun Zhu
2021	A*	`conf`	Pretrained Language Model for Text Generation: A Survey. IJCAI Junyi Li, Tianyi Tang, Wayne Xin Zhao, Ji-Rong Wen
2021	J	`jnl`	Pretrained Language Models for Text Generation: A Survey. CoRR Junyi Li, Tianyi Tang, Wayne Xin Zhao, Ji-Rong Wen
2021	A*	`conf`	RAPT: Pre-training of Time-Aware Transformer for Learning Robust Healthcare Representation. KDD Houxing Ren, Jingyuan Wang, Wayne Xin Zhao, Ning Wu
2021	—	`conf`	RAST: A Reward Augmented Model for Fine-Grained Sentiment Transfer. NLPCC (1) Xiaoxuan Hu, Hengtong Zhang, Wayne Xin Zhao, Yaliang Li, Jing Gao, Ji-Rong Wen
2021	A	`conf`	RecBole: Towards a Unified, Comprehensive and Efficient Framework for Recommendation Algorithms. CIKM Wayne Xin Zhao, Shanlei Mu, Yupeng Hou, Zihan Lin, Yushuo Chen, Xingyu Pan, Kaiyuan Li, Yujie Lu, Hui Wang, Changxin Tian, Yingqian Min, Zhichao Feng, Xinyan Fan, Xu Chen, Pengfei Wang, Wendi Ji, Yaliang Li, Xiaoling Wang, Ji-Rong Wen
2021	—	`conf`	RocketQA: An Optimized Training Approach to Dense Passage Retrieval for Open-Domain Question Answering. NAACL-HLT Yingqi Qu, Yuchen Ding, Jing Liu, Kai Liu, Ruiyang Ren, Wayne Xin Zhao, Daxiang Dong, Hua Wu, Haifeng Wang
2021	—	`conf`	RocketQAv2: A Joint Training Method for Dense Passage Retrieval and Passage Re-ranking. EMNLP (1) Ruiyang Ren, Yingqi Qu, Jing Liu, Wayne Xin Zhao, Qiaoqiao She, Hua Wu, Haifeng Wang, Ji-Rong Wen
2021	J	`jnl`	RocketQAv2: A Joint Training Method for Dense Passage Retrieval and Passage Re-ranking. CoRR Ruiyang Ren, Yingqi Qu, Jing Liu, Wayne Xin Zhao, Qiaoqiao She, Hua Wu, Haifeng Wang, Ji-Rong Wen
2021	—	`conf`	TextBox: A Unified, Modularized, and Extensible Framework for Text Generation. ACL (demo) Junyi Li, Tianyi Tang, Gaole He, Jinhao Jiang, Xiaoxuan Hu, Puzhao Xie, Zhipeng Chen, Zhuohao Yu, Wayne Xin Zhao, Ji-Rong Wen
2021	J	`jnl`	TextBox: A Unified, Modularized, and Extensible Framework for Text Generation. CoRR Junyi Li, Tianyi Tang, Gaole He, Jinhao Jiang, Xiaoxuan Hu, Puzhao Xie, Wayne Xin Zhao, Ji-Rong Wen
2021	—	`conf`	Virtual Data Augmentation: A Robust and General Framework for Fine-tuning Pre-trained Models. EMNLP (1) Kun Zhou, Wayne Xin Zhao, Sirui Wang, Fuzheng Zhang, Wei Wu, Ji-Rong Wen
2021	J	`jnl`	Virtual Data Augmentation: A Robust and General Framework for Fine-tuning Pre-trained Models. CoRR Kun Zhou, Wayne Xin Zhao, Sirui Wang, Fuzheng Zhang, Wei Wu, Ji-Rong Wen
2021	J	`jnl`	WenLan: Bridging Vision and Language by Large-Scale Multi-Modal Pre-Training. CoRR Yuqi Huo, Manli Zhang, Guangzhen Liu, Haoyu Lu, Yizhao Gao, Guoxing Yang, Jingyuan Wen, Heng Zhang, Baogui Xu, Weihao Zheng, Zongzheng Xi, Yueqian Yang, Anwen Hu, Jinming Zhao, Ruichen Li, Yida Zhao, Liang Zhang, Yuqing Song, Xin Hong, Wanqing Cui, Dan Yang Hou, Yingyan Li, Junyi Li, Peiyu Liu, Zheng Gong, Chuhao Jin, Yuchong Sun, Shizhe Chen, Zhiwu Lu, Zhicheng Dou, Qin Jin, Yanyan Lan, Wayne Xin Zhao, Ruihua Song, Ji-Rong Wen
2020	A*	`conf`	Improving Conversational Recommender Systems via Knowledge Graph based Semantic Fusion. KDD Kun Zhou, Wayne Xin Zhao, Shuqing Bian, Yuanhang Zhou, Ji-Rong Wen, Jingsong Yu
2020	J	`jnl`	Improving Conversational Recommender Systems via Knowledge Graph based Semantic Fusion. CoRR Kun Zhou, Wayne Xin Zhao, Shuqing Bian, Yuanhang Zhou, Ji-Rong Wen, Jingsong Yu
2020	J	`jnl`	Improving Multi-Turn Response Selection Models with Complementary Last-Utterance Selection by Instance Weighting. CoRR Kun Zhou, Wayne Xin Zhao, Yutao Zhu, Ji-Rong Wen, Jingsong Yu
2020	—	`conf`	Improving Multi-turn Response Selection Models with Complementary Last-Utterance Selection by Instance Weighting. PAKDD (2) Kun Zhou, Wayne Xin Zhao, Yutao Zhu, Ji-Rong Wen, Jingsong Yu
2020	A*	`conf`	KERL: A Knowledge-Guided Reinforcement Learning Model for Sequential Recommendation. SIGIR Pengfei Wang, Yu Fan, Long Xia, Wayne Xin Zhao, Shaozhang Niu, Jimmy X. Huang
2020	A	`conf`	Knowledge-Enhanced Personalized Review Generation with Capsule Graph Neural Network. CIKM Junyi Li, Siqing Li, Wayne Xin Zhao, Gaole He, Zhicheng Wei, Nicholas Jing Yuan, Ji-Rong Wen
2020	J	`jnl`	Knowledge-Enhanced Personalized Review Generation with Capsule Graph Neural Network. CoRR Junyi Li, Siqing Li, Wayne Xin Zhao, Gaole He, Zhicheng Wei, Nicholas Jing Yuan, Ji-Rong Wen
2020	A*	`conf`	Learning Effective Road Network Representation with Hierarchical Graph Neural Networks. KDD Ning Wu, Wayne Xin Zhao, Jingyuan Wang, Dayan Pan
2020	J	`jnl`	Learning Semantic Representations from Directed Social Links to Tag Microblog Users at Scale. ACM Trans. Inf. Syst. Wayne Xin Zhao, Yupeng Hou, Junhua Chen, Jonathan J. H. Zhu, Eddy Jing Yin, Hanting Su, Ji-Rong Wen
2020	A	`conf`	Learning to Match Jobs with Resumes from Sparse Interaction Data using Multi-View Co-Teaching Network. CIKM Shuqing Bian, Xu Chen, Wayne Xin Zhao, Kun Zhou, Yupeng Hou, Yang Song, Tao Zhang, Ji-Rong Wen
2020	J	`jnl`	Learning to Match Jobs with Resumes from Sparse Interaction Data using Multi-View Co-Teaching Network. CoRR Shuqing Bian, Xu Chen, Wayne Xin Zhao, Kun Zhou, Yupeng Hou, Yang Song, Tao Zhang, Ji-Rong Wen
2020	A	`conf`	Leveraging Historical Interaction Data for Improving Conversational Recommender System. CIKM Kun Zhou, Wayne Xin Zhao, Hui Wang, Sirui Wang, Fuzheng Zhang, Zhongyuan Wang, Ji-Rong Wen
2020	J	`jnl`	Leveraging Historical Interaction Data for Improving Conversational Recommender System. CoRR Kun Zhou, Wayne Xin Zhao, Hui Wang, Sirui Wang, Fuzheng Zhang, Zhongyuan Wang, Ji-Rong Wen
2020	A*	`conf`	Mining Implicit Entity Preference from User-Item Interaction Data for Knowledge Graph Completion via Adversarial Learning. WWW Gaole He, Junyi Li, Wayne Xin Zhao, Peiju Liu, Ji-Rong Wen
2020	J	`jnl`	Mining Implicit Entity Preference from User-Item Interaction Data for Knowledge Graph Completion via Adversarial Learning. CoRR Gaole He, Junyi Li, Wayne Xin Zhao, Peiju Liu, Ji-Rong Wen
2020	J	`jnl`	RecBole: Towards a Unified, Comprehensive and Efficient Framework for Recommendation Algorithms. CoRR Wayne Xin Zhao, Shanlei Mu, Yupeng Hou, Zihan Lin, Kaiyuan Li, Yushuo Chen, Yujie Lu, Hui Wang, Changxin Tian, Xingyu Pan, Yingqian Min, Zhichao Feng, Xinyan Fan, Xu Chen, Pengfei Wang, Wendi Ji, Yaliang Li, Xiaoling Wang, Ji-Rong Wen
2020	A	`conf`	Revisiting Alternative Experimental Settings for Evaluating Top-N Item Recommendation Algorithms. CIKM Wayne Xin Zhao, Junhua Chen, Pengfei Wang, Qi Gu, Ji-Rong Wen
2020	J	`jnl`	Revisiting Alternative Experimental Settings for Evaluating Top-N Item Recommendation Algorithms. CoRR Wayne Xin Zhao, Junhua Chen, Pengfei Wang, Qi Gu, Ji-Rong Wen
2020	A	`conf`	S3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization. CIKM Kun Zhou, Hui Wang, Wayne Xin Zhao, Yutao Zhu, Sirui Wang, Fuzheng Zhang, Zhongyuan Wang, Ji-Rong Wen
2020	J	`jnl`	S^3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization. CoRR Kun Zhou, Hui Wang, Wayne Xin Zhao, Yutao Zhu, Sirui Wang, Fuzheng Zhang, Zhongyuan Wang, Ji-Rong Wen
2020	A*	`conf`	Sequential Recommendation with Self-Attentive Multi-Adversarial Network. SIGIR Ruiyang Ren, Zhaoyang Liu, Yaliang Li, Wayne Xin Zhao, Hui Wang, Bolin Ding, Ji-Rong Wen
2020	J	`jnl`	Sequential Recommendation with Self-Attentive Multi-Adversarial Network. CoRR Ruiyang Ren, Zhaoyang Liu, Yaliang Li, Wayne Xin Zhao, Hui Wang, Bolin Ding, Ji-Rong Wen
2020	B	`conf`	Towards Topic-Guided Conversational Recommender System. COLING Kun Zhou, Yuanhang Zhou, Wayne Xin Zhao, Xiaoke Wang, Ji-Rong Wen
2020	J	`jnl`	Towards Topic-Guided Conversational Recommender System. CoRR Kun Zhou, Yuanhang Zhou, Wayne Xin Zhao, Xiaoke Wang, Ji-Rong Wen
2019	J	`jnl`	A Long-Short Demands-Aware Model for Next-Item Recommendation. CoRR Ting Bai, Pan Du, Wayne Xin Zhao, Ji-Rong Wen, Jian-Yun Nie
2019	—	`conf`	A Neural Citation Count Prediction Model based on Peer Review Text. EMNLP/IJCNLP (1) Siqing Li, Wayne Xin Zhao, Eddy Jing Yin, Ji-Rong Wen
2019	A*	`conf`	CTRec: A Long-Short Demands Evolution Model for Continuous-Time Recommendation. SIGIR Ting Bai, Lixin Zou, Wayne Xin Zhao, Pan Du, Weidong Liu, Jian-Yun Nie, Ji-Rong Wen
2019	J	`jnl`	Correction to "Characterizing and Predicting Early Reviewers for Effective Product Marketing on E-Commerce Websites". IEEE Trans. Knowl. Data Eng. Ting Bai, Wayne Xin Zhao, Yulan He, Jian-Yun Nie, Ji-Rong Wen
2019	—	`conf`	Domain Adaptation for Person-Job Fit with Transferable Deep Global Match Network. EMNLP/IJCNLP (1) Shuqing Bian, Wayne Xin Zhao, Yang Song, Tao Zhang, Ji-Rong Wen
2019	A*	`conf`	Empowering A* Search Algorithms with Neural Networks for Personalized Route Recommendation. KDD Jingyuan Wang, Ning Wu, Wayne Xin Zhao, Fanzhang Peng, Xin Lin
2019	J	`jnl`	Empowering A* Search Algorithms with Neural Networks for Personalized Route Recommendation. CoRR Jingyuan Wang, Ning Wu, Wayne Xin Zhao, Fanzhang Peng, Xin Lin
2019	—	`conf`	Generating Long and Informative Reviews with Aspect-Aware Coarse-to-Fine Decoding. ACL (1) Junyi Li, Wayne Xin Zhao, Ji-Rong Wen, Yang Song
2019	J	`jnl`	Generating Long and Informative Reviews with Aspect-Aware Coarse-to-Fine Decoding. CoRR Junyi Li, Wayne Xin Zhao, Ji-Rong Wen, Yang Song
2019	J	`jnl`	Heterogeneous Information Network Embedding for Recommendation. IEEE Trans. Knowl. Data Eng. Chuan Shi, Binbin Hu, Wayne Xin Zhao, Philip S. Yu
2019	J	`jnl`	KB4Rec: A Data Set for Linking Knowledge Bases with Recommender Systems. Data Intell. Wayne Xin Zhao, Gaole He, Kunlin Yang, Hongjian Dou, Jin Huang, Siqi Ouyang, Ji-Rong Wen
2019	A	`conf`	Learning to Effectively Estimate the Travel Time for Fastest Route Recommendation. CIKM Ning Wu, Jingyuan Wang, Wayne Xin Zhao, Yang Jin
2019	—	`conf`	Neural Network Based Popularity Prediction by Linking Online Content with Knowledge Bases. PAKDD (2) Wayne Xin Zhao, Hongjian Dou, Yuanpei Zhao, Daxiang Dong, Ji-Rong Wen
2019	A*	`conf`	Supervised Hierarchical Cross-Modal Hashing. SIGIR Changchang Sun, Xuemeng Song, Fuli Feng, Wayne Xin Zhao, Hao Zhang, Liqiang Nie
2019	A	`conf`	Taxonomy-Aware Multi-Hop Reasoning Networks for Sequential Recommendation. WSDM Jin Huang, Zhaochun Ren, Wayne Xin Zhao, Gaole He, Ji-Rong Wen, Daxiang Dong
2018	—	`conf`	A Neural Labeled Network Embedding Approach to Product Adopter Prediction. AIRS Qi Gu, Ting Bai, Wayne Xin Zhao, Ji-Rong Wen
2018	J	`jnl`	A time-aware trajectory embedding model for next-location recommendation. Knowl. Inf. Syst. Wayne Xin Zhao, Ningnan Zhou, Aixin Sun, Ji-Rong Wen, Jialong Han, Edward Y. Chang
2018	A*	`conf`	An Attribute-aware Neural Attentive Model for Next Basket Recommendation. SIGIR Ting Bai, Jian-Yun Nie, Wayne Xin Zhao, Yutao Zhu, Pan Du, Ji-Rong Wen
2018	J	`jnl`	Automatically Learning Topics and Difficulty Levels of Problems in Online Judge Systems. ACM Trans. Inf. Syst. Wayne Xin Zhao, Wenhui Zhang, Yulan He, Xing Xie, Ji-Rong Wen
2018	J	`jnl`	Characterizing and Predicting Early Reviewers for Effective Product Marketing on E-Commerce Websites. IEEE Trans. Knowl. Data Eng. Ting Bai, Wayne Xin Zhao, Yulan He, Jian-Yun Nie, Ji-Rong Wen
2018	A*	`conf`	Improving Sequential Recommendation with Knowledge-Enhanced Memory Networks. SIGIR Jin Huang, Wayne Xin Zhao, Hongjian Dou, Ji-Rong Wen, Edward Y. Chang
2018	J	`jnl`	Joint Representation Learning for Location-Based Social Networks with Multi-Grained Sequential Contexts. ACM Trans. Knowl. Discov. Data Wayne Xin Zhao, Feifan Fan, Ji-Rong Wen, Edward Y. Chang
2018	—	`conf`	KB4Rec: A Dataset for Linking Knowledge Bases with Recommender Systems. CIKM Workshops Wayne Xin Zhao, Gaole He, Hongjian Dou, Jin Huang, Siqi Ouyang, Ji-Rong Wen
2018	J	`jnl`	KB4Rec: A Dataset for Linking Knowledge Bases with Recommender Systems. CoRR Wayne Xin Zhao, Gaole He, Hongjian Dou, Jin Huang, Siqi Ouyang, Ji-Rong Wen
2018	A*	`conf`	Leveraging Meta-path based Context for Top- N Recommendation with A Neural Co-Attention Model. KDD Binbin Hu, Chuan Shi, Wayne Xin Zhao, Philip S. Yu
2018	A*	`conf`	Linking Fine-Grained Locations in User Comments (Extended Abstract). ICDE Jialong Han, Aixin Sun, Gao Cong, Wayne Xin Zhao, Zongcheng Ji, Minh C. Phan
2018	J	`jnl`	Linking Fine-Grained Locations in User Comments. IEEE Trans. Knowl. Data Eng. Jialong Han, Aixin Sun, Gao Cong, Wayne Xin Zhao, Zongcheng Ji, Minh C. Phan
2018	A	`conf`	Local and Global Information Fusion for Top-N Recommendation in Heterogeneous Information Network. CIKM Binbin Hu, Chuan Shi, Wayne Xin Zhao, Tianchi Yang
2018	—	`conf`	Multi-Turn Response Selection for Chatbots with Deep Attention Matching Network. ACL (1) Xiangyang Zhou, Lu Li, Daxiang Dong, Yi Liu, Ying Chen, Wayne Xin Zhao, Dianhai Yu, Hua Wu
2018	J	`jnl`	Supervised Search Result Diversification via Subtopic Attention. IEEE Trans. Knowl. Data Eng. Zhengbao Jiang, Zhicheng Dou, Wayne Xin Zhao, Jian-Yun Nie, Ming Yue, Ji-Rong Wen
2018	—	`conf`	hyperdoc2vec: Distributed Representations of Hypertext Documents. ACL (1) Jialong Han, Yan Song, Wayne Xin Zhao, Shuming Shi, Haisong Zhang
2018	J	`jnl`	hyperdoc2vec: Distributed Representations of Hypertext Documents. CoRR Jialong Han, Yan Song, Wayne Xin Zhao, Shuming Shi, Haisong Zhang
2017	—	`conf`	A Collaborative Neural Model for Rating Prediction by Leveraging User Reviews and Product Images. AIRS Wenwen Ye, Yongfeng Zhang, Wayne Xin Zhao, Xu Chen, Zheng Qin
2017	A*	`conf`	A Correlated Topic Model Using Word Embeddings. IJCAI Guangxu Xun, Yaliang Li, Wayne Xin Zhao, Jing Gao, Aidong Zhang
2017	A	`conf`	A Neural Collaborative Filtering Model with Interaction-based Neighborhood. CIKM Ting Bai, Ji-Rong Wen, Jun Zhang, Wayne Xin Zhao
2017	J	`jnl`	A Neural Network Approach to Jointly Modeling Social Networks and Mobile Trajectories. ACM Trans. Inf. Syst. Cheng Yang, Maosong Sun, Wayne Xin Zhao, Zhiyuan Liu, Edward Y. Chang
2017	J	`jnl`	An Experimental Study of Text Representation Methods for Cross-Site Purchase Preference Prediction Using the Social Text Data. J. Comput. Sci. Technol. Ting Bai, Hong-Jian Dou, Wayne Xin Zhao, Ding-Yi Yang, Ji-Rong Wen
2017	J	`jnl`	Heterogeneous Information Network Embedding for Recommendation. CoRR Chuan Shi, Binbin Hu, Wayne Xin Zhao, Philip S. Yu
2017	A*	`conf`	Learning to Diversify Search Results via Subtopic Attention. SIGIR Zhengbao Jiang, Ji-Rong Wen, Zhicheng Dou, Wayne Xin Zhao, Jian-Yun Nie, Ming Yue
2017	J	`jnl`	Local Representative-Based Matrix Factorization for Cold-Start Recommendation. ACM Trans. Inf. Syst. Lei Shi, Wayne Xin Zhao, Yi-Dong Shen
2017	J	`jnl`	Mining collective knowledge: inferring functional labels from online review for business. Knowl. Inf. Syst. Feifan Fan, Wayne Xin Zhao, Ji-Rong Wen, Ge Xu, Edward Y. Chang
2017	—	`conf`	Probabilistic Local Matrix Factorization Based on User Reviews. AIRS Xu Chen, Yongfeng Zhang, Wayne Xin Zhao, Wenwen Ye, Zheng Qin
2017	J	`jnl`	Ranking and tagging bursty features in text streams with context language models. Frontiers Comput. Sci. Wayne Xin Zhao, Chen Liu, Ji-Rong Wen, Xiaoming Li
2017	J	`jnl`	Type-Aware Question Answering over Knowledge Base with Attention-Based Tree-Structured Neural Networks. J. Comput. Sci. Technol. Jun Yin, Wayne Xin Zhao, Xiaoming Li
2017	J	`jnl`	Version-Aware Rating Prediction for Mobile App Recommendation. ACM Trans. Inf. Syst. Yuan Yao, Wayne Xin Zhao, Yaojing Wang, Hanghang Tong, Feng Xu, Jian Lu
2016	J	`jnl`	A General Multi-Context Embedding Model for Mining Human Trajectory Data. IEEE Trans. Knowl. Data Eng. Ningnan Zhou, Wayne Xin Zhao, Xiao Zhang, Ji-Rong Wen, Shan Wang
2016	J	`jnl`	A Neural Network Approach to Joint Modeling Social Networks and Mobile Trajectories. CoRR Cheng Yang, Maosong Sun, Wayne Xin Zhao, Zhiyuan Liu, Edward Y. Chang
2016	J	`jnl`	A Probabilistic Lifestyle-Based Trajectory Model for Social Strength Inference from Human Trajectory Data. ACM Trans. Inf. Syst. Wayne Xin Zhao, Ningnan Zhou, Wenhui Zhang, Ji-Rong Wen, Shan Wang, Edward Y. Chang
2016	J	`jnl`	A computational approach to measuring the correlation between expertise and social media influence for celebrities on microblogs. World Wide Web Wayne Xin Zhao, Jing Liu, Yulan He, Chin-Yew Lin, Ji-Rong Wen
2016	A*	`conf`	Bayesian Probabilistic Multi-Topic Matrix Factorization for Rating Prediction. IJCAI Keqiang Wang, Wayne Xin Zhao, Hongwei Peng, Xiaoling Wang
2016	J	`jnl`	Connecting Social Media to E-Commerce: Cold-Start Product Recommendation Using Microblogging Information. IEEE Trans. Knowl. Data Eng. Wayne Xin Zhao, Sui Li, Yulan He, Edward Y. Chang, Ji-Rong Wen, Xiaoming Li
2016	J	`jnl`	Exploring demographic information in social media for product recommendation. Knowl. Inf. Syst. Wayne Xin Zhao, Sui Li, Yulan He, Liwei Wang, Ji-Rong Wen, Xiaoming Li
2016	J	`jnl`	Generating timeline summaries with social media attention. Frontiers Comput. Sci. Wayne Xin Zhao, Ji-Rong Wen, Xiaoming Li
2016	—	`ed.`	Information Retrieval Technology - 12th Asia Information Retrieval Societies Conference, AIRS 2016, Beijing, China, November 30 - December 2, 2016, Proceedings AIRS Shaoping Ma, Ji-Rong Wen, Yiqun Liu, Zhicheng Dou, Min Zhang, Yi Chang, Wayne Xin Zhao
2016	—	`conf`	Learning Distributed Representations for Recommender Systems with a Network Embedding Approach. AIRS Wayne Xin Zhao, Jin Huang, Ji-Rong Wen
2016	J	`jnl`	Mining Product Adopter Information from Online Reviews for Improving Product Recommendation. ACM Trans. Knowl. Discov. Data Wayne Xin Zhao, Jinpeng Wang, Yulan He, Ji-Rong Wen, Edward Y. Chang, Xiaoming Li
2016	A*	`conf`	Tweet Timeline Generation with Determinantal Point Processes. AAAI Jin-Ge Yao, Feifan Fan, Wayne Xin Zhao, Xiaojun Wan, Edward Y. Chang, Jianguo Xiao
2015	J	`jnl`	A General SIMD-Based Approach to Accelerating Compression Algorithms. ACM Trans. Inf. Syst. Wayne Xin Zhao, Xudong Zhang, Daniel Lemire, Dongdong Shan, Jian-Yun Nie, Hongfei Yan, Ji-Rong Wen
2015	J	`jnl`	A General SIMD-based Approach to Accelerating Compression Algorithms. CoRR Wayne Xin Zhao, Xudong Zhang, Daniel Lemire, Dongdong Shan, Jian-Yun Nie, Hongfei Yan, Ji-Rong Wen
2015	J	`jnl`	Incorporating Social Role Theory into Topic Models for Social Media Content Analysis. IEEE Trans. Knowl. Data Eng. Wayne Xin Zhao, Jinpeng Wang, Yulan He, Jian-Yun Nie, Ji-Rong Wen, Xiaoming Li
2015	A	`conf`	Leveraging Product Adopter Information from Online Reviews for Product Recommendation. ICWSM Jinpeng Wang, Wayne Xin Zhao, Yulan He, Xiaoming Li
2015	A*	`conf`	Mining User Intents in Twitter: A Semi-Supervised Approach to Inferring Intent Categories for Tweets. AAAI Jinpeng Wang, Gao Cong, Wayne Xin Zhao, Xiaoming Li
2015	—	`conf`	Tweet Timeline Generation via Graph-Based Dynamic Greedy Clustering. AIRS Feifan Fan, Runwei Qiang, Chao Lv, Wayne Xin Zhao, Jianwu Yang
2014	B	`conf`	A computational approach to measuring the correlation between expertise and social media influence for celebrities on microblogs. ASONAM Wayne Xin Zhao, Jing Liu, Yulan He, Chin-Yew Lin, Ji-Rong Wen
2014	J	`jnl`	Infer User Interests via Link Structure Regularization. ACM Trans. Intell. Syst. Technol. Jinpeng Wang, Wayne Xin Zhao, Yulan He, Xiaoming Li
2014	B	`conf`	Knowledge Sharing via Social Login: Exploiting Microblogging Service for Warming up Social Question Answering Websites. COLING Yang Xiao, Wayne Xin Zhao, Kun Wang, Zhen Xiao
2014	A*	`conf`	We know what you want to buy: a demographic-based system for product recommendation on microblogs. KDD Wayne Xin Zhao, Yanwei Guo, Yulan He, Han Jiang, Yuexin Wu, Xiaoming Li
2013	—	`conf`	A Metric Learning Based Approach to Evaluate Task-Specific Time Series Similarity. WAIM Yang Lu, Wayne Xin Zhao, Hongfei Yan, Xiaoming Li
2013	—	`conf`	Group-Scheme: SIMD-based compression algorithms for web text data. IEEE BigData Xudong Zhang, Wayne Xin Zhao, Dongdong Shan, Hongfei Yan
2013	A*	`conf`	Mining New Business Opportunities: Identifying Trend related Products by Leveraging Commercial Intents from Microblogs. EMNLP Jinpeng Wang, Wayne Xin Zhao, Haitian Wei, Hongfei Yan, Xiaoming Li
2013	A	`conf`	Originator or propagator?: incorporating social role theory into topic models for twitter content analysis. CIKM Wayne Xin Zhao, Jinpeng Wang, Yulan He, Jian-Yun Nie, Xiaoming Li
2013	A*	`conf`	Timeline generation with social attention. SIGIR Wayne Xin Zhao, Yanwei Guo, Rui Yan, Yulan He, Xiaoming Li
2012	A*	`conf`	EventSearch: a system for event discovery and retrieval on multi-type historical data. KDD Dongdong Shan, Wayne Xin Zhao, Rishan Chen, Baihan Shu, Ziqi Wang, Junjie Yao, Hongfei Yan, Xiaoming Li
2012	—	`conf`	Joint Learning for Coreference Resolution with Markov Logic. EMNLP-CoNLL Yang Song, Jing Jiang, Wayne Xin Zhao, Sujian Li, Houfeng Wang
2012	C	`conf`	Position-Aligned Translation Model for Citation Recommendation. SPIRE Jing He, Jian-Yun Nie, Yang Lu, Wayne Xin Zhao
2012	—	`conf`	Using Lexical and Thematic Knowledge for Name Disambiguation. AIRS Jinpeng Wang, Wayne Xin Zhao, Rui Yan, Haitian Wei, Jian-Yun Nie, Xiaoming Li
2012	A	`conf`	Visualizing timelines: evolutionary summarization via iterative reinforcement between text and image streams. CIKM Rui Yan, Xiaojun Wan, Mirella Lapata, Wayne Xin Zhao, Pu-Jen Cheng, Xiaoming Li
2011	A	`conf`	Comparing Twitter and Traditional Media Using Topic Models. ECIR Wayne Xin Zhao, Jing Jiang, Jianshu Weng, Jing He, Ee-Peng Lim, Hongfei Yan, Xiaoming Li
2011	A	`conf`	Efficient phrase querying with flat position index. CIKM Dongdong Shan, Wayne Xin Zhao, Jing He, Rui Yan, Hongfei Yan, Xiaoming Li
2011	A*	`conf`	Efficiently collecting relevance information from clickthroughs for web retrieval system evaluation. SIGIR Jing He, Wayne Xin Zhao, Baihan Shu, Xiaoming Li, Hongfei Yan
2011	A*	`conf`	Topical Keyphrase Extraction from Twitter. ACL Wayne Xin Zhao, Jing Jiang, Jing He, Yang Song, Palakorn Achananuparp, Ee-Peng Lim, Xiaoming Li
2010	A	`conf`	Context modeling for ranking and tagging bursty features in text streams. CIKM Wayne Xin Zhao, Jing Jiang, Jing He, Dongdong Shan, Hongfei Yan, Xiaoming Li
2010	A*	`conf`	Jointly Modeling Aspects and Opinions with a MaxEnt-LDA Hybrid. EMNLP Wayne Xin Zhao, Jing Jiang, Hongfei Yan, Xiaoming Li