| 2026 | ACL | Beyond Fully Random Masking: Attention-Guided Denoising and Optimization for Diffusion Language Models. | Jia Deng, Junyi Li, Xin Zhao, Jinpeng Wang, Hongyu Lu, Ji-Rong Wen |
| 2026 | ACL | RLSeek: Evidence-Grounded Reasoning for RAG Hallucination Detection. | Zhaoheng Huang, Dacheng Wen, Yutao Zhu, Xiaoying Lian, Yushi Liang, Kai Hao, Nan Li, Liangjie Zhang, Qi Zhang, Ji-Rong Wen, Zhicheng Dou, Fangzhao Wu |
| 2026 | ACL | LLM-Generated Text May Harm Your Retrieval! A Robust Detection Strategy for Retrieval-Augmented Generation. | Zhaoheng Huang, Yutao Zhu, Ji-Rong Wen, Zhicheng Dou |
| 2026 | ACL | Experience-Driven Reflective Co-Evolution of Prompts and Heuristics for Autonomous Algorithm Design. | Yihong Liu, Junyi Li, Hongyu Lu, Xin Zhao, Ji-Rong Wen |
| 2026 | ACL | EnvScaler: Scaling Tool-Interactive Environments for LLM Agent via Programmatic Synthesis. | Xiaoshuai Song, Haofei Chang, Guanting Dong, Yutao Zhu, Ji-Rong Wen, Zhicheng Dou |
| 2026 | ACL | Challenging the Boundaries of Reasoning: An Olympiad-Level Math Benchmark for Large Language Models. | Haoxiang Sun, Yingqian Min, Zhipeng Chen, Xin Zhao, Ji-Rong Wen |
| 2026 | ACL | Web Sitemap Knowledge Can Enhance Autonomous Browsing. | Yuyao Zhang, Hongyu Lu, Jiajie Jin, Hongjin Qian, Shiyu Li, Zhao Yang, Yutao Zhu, Ji-Rong Wen, Zhicheng Dou |
| 2026 | ACL | LLaDA 1.5: Variance-Reduced Preference Optimization for Large Language Diffusion Models. | Fengqi Zhu, Rongzhen Wang, Shen Nie, Xiaolu Zhang, Chunwei Wu, Jun Zhou, Yankai Lin, Ji-Rong Wen, Chongxuan Li |
| 2026 | KDD | Spatiotemporal Graph Learning with Direct Volumetric Information Passing and Feature Enhancement. | Yuan Mi, Qi Wang, Xueqin Hu, Yike Guo, Ji-Rong Wen, Yang Liu, Hao Sun |
| 2026 | WWW | Toward Generalized Web Agent Training: A Deep Dive into Entropy-Balanced Reinforcement Learning. | Guanting Dong, Licheng Bao, Zhongyuan Wang, Kangzhi Zhao, Xiaoxi Li, Jiajie Jin, Jinghan Yang, Hangyu Mao, Fuzheng Zhang, Kun Gai, Guorui Zhou, Yutao Zhu, Ji-Rong Wen, Zhicheng Dou |
| 2026 | WWW | DeepAgent: A General Reasoning Agent with Scalable Toolsets. | Xiaoxi Li, Wenxiang Jiao, Jiarui Jin, Guanting Dong, Jiajie Jin, Yinuo Wang, Hao Wang, Yutao Zhu, Ji-Rong Wen, Yuan Lu, Zhicheng Dou |
| 2026 | WWW | GenCI: Generative Modeling of User Interest Shift via Cohort-based Intent Learning for CTR Prediction. | Kesha Ou, Zhen Tian, Wayne Xin Zhao, Hongyu Lu, Ji-Rong Wen |
| 2026 | SIGIR | Tool-Star: Empowering Multi-Tool Collaborative Web Agent via Reinforcement Learning. | Guanting Dong, Yifei Chen, Xiaoxi Li, Jiajie Jin, Hongjin Qian, Yutao Zhu, Hangyu Mao, Guorui Zhou, Zhicheng Dou, Ji-Rong Wen |
| 2026 | SIGIR | From Search to Ask to Act: The Evolution of Information Access in the Age of Large Models and Agents. | Ji-Rong Wen |
| 2026 | SIGIR | Universal Item Tokenization for Transferable Generative Recommendation. | Bowen Zheng, Hongyu Lu, Yu Chen, Wayne Xin Zhao, Ji-Rong Wen |
| 2026 | SIGIR | Learning to Retrieve from Agent Trajectories. | Yuqi Zhou, Sunhao Dai, Changle Qu, Liang Pang, Jun Xu, Ji-Rong Wen |
| 2025 | AAAI | One Token Can Help! Learning Scalable and Pluggable Virtual Tokens for Retrieval-Augmented Large Language Models. | Yutao Zhu, Zhaoheng Huang, Zhicheng Dou, Ji-Rong Wen |
| 2025 | AAAI | Unleashing the Potential of Large Language Models as Prompt Optimizers: Analogical Analysis with Gradient-based Model Optimizers. | Xinyu Tang, Xiaolei Wang, Wayne Xin Zhao, Siyuan Lu, Yaliang Li, Ji-Rong Wen |
| 2025 | AAAI | Toward Verifiable Instruction-Following Alignment for Retrieval Augmented Generation. | Guanting Dong, Xiaoshuai Song, Yutao Zhu, Runqi Qiao, Zhicheng Dou, Ji-Rong Wen |
| 2025 | ACL | Towards Effective and Efficient Continual Pre-training of Large Language Models. | 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 | ACL | Think More, Hallucinate Less: Mitigating Hallucinations via Dual Process of Fast and Slow Thinking. | Xiaoxue Cheng, Junyi Li, Xin Zhao, Ji-Rong Wen |
| 2025 | ACL | Progressive Multimodal Reasoning via Active Retrieval. | Guanting Dong, Chenghao Zhang, Mengjie Deng, Yutao Zhu, Zhicheng Dou, Ji-Rong Wen |
| 2025 | ACL | RAG-Critic: Leveraging Automated Critic-Guided Agentic Workflow for Retrieval Augmented Generation. | Guanting Dong, Jiajie Jin, Xiaoxi Li, Yutao Zhu, Zhicheng Dou, Ji-Rong Wen |
| 2025 | ACL | YuLan-Mini: Pushing the Limits of Open Data-efficient Language Model. | Yiwen Hu, Huatong Song, Jie Chen, Jia Deng, Jiapeng Wang, Kun Zhou, Yutao Zhu, Jinhao Jiang, Zican Dong, Yang Lu, Xu Miao, Xin Zhao, Ji-Rong Wen |
| 2025 | ACL | KG-Agent: An Efficient Autonomous Agent Framework for Complex Reasoning over Knowledge Graph. | Jinhao Jiang, Kun Zhou, Xin Zhao, Yang Song, Chen Zhu, Hengshu Zhu, Ji-Rong Wen |
| 2025 | ACL | Neuro-Symbolic Query Compiler. | Yuyao Zhang, Zhicheng Dou, Xiaoxi Li, Jiajie Jin, Yongkang Wu, Zhonghua Li, Ye Qi, Ji-Rong Wen |
| 2025 | CIKM | Autonomous Reasoning-Retrieval for Large Language Model Based Recommendation. | Bowen Zheng, Xiaolei Wang, Enze Liu, Xi Wang, Hongyu Lu, Yu Chen, Wayne Xin Zhao, Ji-Rong Wen |
| 2025 | CIKM | Evolving Graph-Based Context Modeling for Multi-Turn Conversational Retrieval-Augmented Generation. | Yiruo Cheng, Hongjin Qian, Fengran Mo, Yongkang Wu, Zhonghua Li, Qi Ye, Ji-Rong Wen, Zhicheng Dou |
| 2025 | CIKM | DIVAgent: A Diversified Search Agent that Mimics the Human Search Process. | Zhirui Deng, Jingfen Qiao, Zhicheng Dou, Ji-Rong Wen, Maarten de Rijke |
| 2025 | CIKM | BordaRAG: Resolving Knowledge Conflict in Retrieval-Augmented Generation via Borda Voting Process. | Yuxin Li, Chen Xu, Jun Xu, Ji-Rong Wen |
| 2025 | CIKM | Addressing Personalized Bias for Unbiased Learning to Rank. | Zechun Niu, Lang Mei, Liu Yang, Ziyuan Zhao, Qiang Yan, Jiaxin Mao, Ji-Rong Wen |
| 2025 | COLING | What Makes for Good Visual Instructions? Synthesizing Complex Visual Reasoning Instructions for Visual Instruction Tuning. | Yifan Du, Hangyu Guo, Kun Zhou, Wayne Xin Zhao, Jinpeng Wang, Chuyuan Wang, Mingchen Cai, Ruihua Song, Ji-Rong Wen |
| 2025 | COLING | ICLEval: Evaluating In-Context Learning Ability of Large Language Models. | Wentong Chen, Yankai Lin, ZhenHao Zhou, HongYun Huang, Yantao Jia, Zhao Cao, Ji-Rong Wen |
| 2025 | COLING | Investigating the Factual Knowledge Boundary of Large Language Models with Retrieval Augmentation. | Ruiyang Ren, Yuhao Wang, Yingqi Qu, Wayne Xin Zhao, Jing Liu, Hua Wu, Ji-Rong Wen, Haifeng Wang |
| 2025 | COLING | Distilling Rule-based Knowledge into Large Language Models. | Wenkai Yang, Yankai Lin, Jie Zhou, Ji-Rong Wen |
| 2025 | DASFAA | UFIN: Universal Feature Interaction Network for Multi-domain Click-Through Rate Prediction. | Zhen Tian, Changwang Zhang, Wayne Xin Zhao, Xin Zhao, Ji-Rong Wen, Zhao Cao |
| 2025 | EMNLP | Sticker-TTS: Learn to Utilize Historical Experience with a Sticker-driven Test-Time Scaling Framework. | Jie Chen, Jinhao Jiang, Yingqian Min, Zican Dong, Shijie Wang, Wayne Xin Zhao, Ji-Rong Wen |
| 2025 | EMNLP | Extracting and Combining Abilities For Building Multi-lingual Ability-enhanced Large Language Models. | Zhipeng Chen, Kun Zhou, Liang Song, Wayne Xin Zhao, Bingning Wang, Weipeng Chen, Ji-Rong Wen |
| 2025 | EMNLP | Enhancing LLM Text Detection with Retrieved Contexts and Logits Distribution Consistency. | Zhaoheng Huang, Yutao Zhu, Ji-Rong Wen, Zhicheng Dou |
| 2025 | EMNLP | ViFT: Towards Visual Instruction-Free Fine-tuning for Large Vision-Language Models. | Zikang Liu, Kun Zhou, Wayne Xin Zhao, Dawei Gao, Yaliang Li, Ji-Rong Wen |
| 2025 | EMNLP | MMATH: A Multilingual Benchmark for Mathematical Reasoning. | Wenyang Luo, Wayne Xin Zhao, Jing Sha, Shijin Wang, Ji-Rong Wen |
| 2025 | EMNLP | Smart-Searcher: Incentivizing the Dynamic Knowledge Acquisition of LLMs via Reinforcement Learning. | Huatong Song, Jinhao Jiang, Wenqing Tian, Zhipeng Chen, Yuhuan Wu, Jiahao Zhao, Yingqian Min, Xin Zhao, Lei Fang, Ji-Rong Wen |
| 2025 | EMNLP | SimpleDeepSearcher: Deep Information Seeking via Web-Powered Reasoning Trajectory Synthesis. | Shuang Sun, Huatong Song, Yuhao Wang, Ruiyang Ren, Jinhao Jiang, Junjie Zhang, Fei Bai, Jia Deng, Xin Zhao, Zheng Liu, Lei Fang, Zhongyuan Wang, Ji-Rong Wen |
| 2025 | EMNLP | OmniEval: An Omnidirectional and Automatic RAG Evaluation Benchmark in Financial Domain. | Shuting Wang, Jiejun Tan, Zhicheng Dou, Ji-Rong Wen |
| 2025 | EMNLP | Single LLM, Multiple Roles: A Unified Retrieval-Augmented Generation Framework Using Role-Specific Token Optimization. | Yutao Zhu, Jiajie Jin, Hongjin Qian, Zheng Liu, Zhicheng Dou, Ji-Rong Wen |
| 2025 | ICASSP | A Pre-trained Plug-in Mixture-of-LoRAs Model for Transferable Sequential Recommendation. | Wenqi Sun, Ruobing Xie, Junjie Zhang, Zitian Guo, Wayne Xin Zhao, Zhanhui Kang, Ji-Rong Wen |
| 2025 | ICCV | Enhancing Reward Models for High-Quality Image Generation: Beyond Text-Image Alignment. | Ying Ba, Tianyu Zhang, Yalong Bai, Wenyi Mo, Tao Liang, Bing Su, Ji-Rong Wen |
| 2025 | ICLR | Exploring the Design Space of Visual Context Representation in Video MLLMs. | Yifan Du, Yuqi Huo, Kun Zhou, Zijia Zhao, Haoyu Lu, Han Huang, Xin Zhao, Bingning Wang, Weipeng Chen, Ji-Rong Wen |
| 2025 | ICLR | Investigating the Pre-Training Dynamics of In-Context Learning: Task Recognition vs. Task Learning. | Xiaolei Wang, Xinyu Tang, Junyi Li, Xin Zhao, Ji-Rong Wen |
| 2025 | ICLR | Regulatory DNA Sequence Design with Reinforcement Learning. | Zhao Yang, Bing Su, Chuan Cao, Ji-Rong Wen |
| 2025 | ICLR | Neuron based Personality Trait Induction in Large Language Models. | Jia Deng, Tianyi Tang, Yanbin Yin, Wenhao Yang, Xin Zhao, Ji-Rong Wen |
| 2025 | ICLR | Mix-CPT: A Domain Adaptation Framework via Decoupling Knowledge Learning and Format Alignment. | Jinhao Jiang, Junyi Li, Xin Zhao, Yang Song, Tao Zhang, Ji-Rong Wen |
| 2025 | ICLR | From Exploration to Mastery: Enabling LLMs to Master Tools via Self-Driven Interactions. | Changle Qu, Sunhao Dai, Xiaochi Wei, Hengyi Cai, Shuaiqiang Wang, Dawei Yin, Jun Xu, Ji-Rong Wen |
| 2025 | ICLR | Uncertainty and Influence aware Reward Model Refinement for Reinforcement Learning from Human Feedback. | Zexu Sun, Yiju Guo, Yankai Lin, Xu Chen, Qi Qi, Xing Tang, Xiuqiang He, Ji-Rong Wen |
| 2025 | ICLR | Perplexity Trap: PLM-Based Retrievers Overrate Low Perplexity Documents. | Haoyu Wang, Sunhao Dai, Haiyuan Zhao, Liang Pang, Xiao Zhang, Gang Wang, Zhenhua Dong, Jun Xu, Ji-Rong Wen |
| 2025 | ICLR | Super(ficial)-alignment: Strong Models May Deceive Weak Models in Weak-to-Strong Generalization. | Wenkai Yang, Shiqi Shen, Guangyao Shen, Wei Yao, Yong Liu, Gong Zhi, Yankai Lin, Ji-Rong Wen |
| 2025 | ICML | MultiPDENet: PDE-embedded Learning with Multi-time-stepping for Accelerated Flow Simulation. | Qi Wang, Yuan Mi, Haoyun Wang, Yi Zhang, Ruizhi Chengze, Hongsheng Liu, Ji-Rong Wen, Hao Sun |
| 2025 | KDD | Bridging Textual-Collaborative Gap through Semantic Codes for Sequential Recommendation. | Enze Liu, Bowen Zheng, Wayne Xin Zhao, Ji-Rong Wen |
| 2025 | KDD | KnowTrace: Bootstrapping Iterative Retrieval-Augmented Generation with Structured Knowledge Tracing. | Rui Li, Quanyu Dai, Zeyu Zhang, Xu Chen, Zhenhua Dong, Ji-Rong Wen |
| 2025 | KDD | Conservation-informed Graph Learning for Spatiotemporal Dynamics Prediction. | Yuan Mi, Pu Ren, Hongteng Xu, Hongsheng Liu, Zidong Wang, Yike Guo, Ji-Rong Wen, Hao Sun, Yang Liu |
| 2025 | KDD | Enhancing Graph Contrastive Learning with Reliable and Informative Augmentation for Recommendation. | Bowen Zheng, Junjie Zhang, Hongyu Lu, Yu Chen, Ming Chen, Wayne Xin Zhao, Ji-Rong Wen |
| 2025 | NAACL | CORAL: Benchmarking Multi-turn Conversational Retrieval-Augmented Generation. | Yiruo Cheng, Kelong Mao, Ziliang Zhao, Guanting Dong, Hongjin Qian, Yongkang Wu, Tetsuya Sakai, Ji-Rong Wen, Zhicheng Dou |
| 2025 | NAACL | Improving Retrospective Language Agents via Joint Policy Gradient Optimization. | Xueyang Feng, Bo Lan, Quanyu Dai, Lei Wang, Jiakai Tang, Xu Chen, Zhenhua Dong, Ji-Rong Wen |
| 2025 | NAACL | GenSim: A General Social Simulation Platform with Large Language Model based Agents. | Jiakai Tang, Heyang Gao, Xuchen Pan, Lei Wang, Haoran Tan, Dawei Gao, Yushuo Chen, Xu Chen, Yankai Lin, Yaliang Li, Bolin Ding, Jingren Zhou, Jun Wang, Ji-Rong Wen |
| 2025 | NAACL | DAWN-ICL: Strategic Planning of Problem-solving Trajectories for Zero-Shot In-Context Learning. | Xinyu Tang, Xiaolei Wang, Xin Zhao, Ji-Rong Wen |
| 2025 | NAACL | CharacterBox: Evaluating the Role-Playing Capabilities of LLMs in Text-Based Virtual Worlds. | Lei Wang, Jianxun Lian, Yi Huang, Yanqi Dai, Haoxuan Li, Xu Chen, Xing Xie, Ji-Rong Wen |
| 2025 | NAACL | TrendSim: Simulating Trending Topics in Social Media Under Poisoning Attacks with LLM-based Multi-agent System. | Zeyu Zhang, Jianxun Lian, Chen Ma, Yaning Qu, Ye Luo, Lei Wang, Rui Li, Xu Chen, Yankai Lin, Le Wu, Xing Xie, Ji-Rong Wen |
| 2025 | RecSys | Enhancing Sequential Recommender with Large Language Models for Joint Video and Comment Recommendation. | Bowen Zheng, Zihan Lin, Enze Liu, Chen Yang, Enyang Bai, Cheng Ling, Han Li, Wayne Xin Zhao, Ji-Rong Wen |
| 2025 | RecSys | Test-Time Alignment with State Space Model for Tracking User Interest Shifts in Sequential Recommendation. | Changshuo Zhang, Xiao Zhang, Teng Shi, Jun Xu, Ji-Rong Wen |
| 2025 | WWW | Understand What LLM Needs: Dual Preference Alignment for Retrieval-Augmented Generation. | Guanting Dong, Yutao Zhu, Chenghao Zhang, Zechen Wang, Ji-Rong Wen, Zhicheng Dou |
| 2025 | WWW | FlashRAG: A Modular Toolkit for Efficient Retrieval-Augmented Generation Research. | Jiajie Jin, Yutao Zhu, Zhicheng Dou, Guanting Dong, Xinyu Yang, Chenghao Zhang, Tong Zhao, Zhao Yang, Ji-Rong Wen |
| 2025 | WWW | Self-Calibrated Listwise Reranking with Large Language Models. | Ruiyang Ren, Yuhao Wang, Kun Zhou, Wayne Xin Zhao, Wenjie Wang, Jing Liu, Ji-Rong Wen, Tat-Seng Chua |
| 2025 | WWW | HtmlRAG: HTML is Better Than Plain Text for Modeling Retrieved Knowledge in RAG Systems. | Jiejun Tan, Zhicheng Dou, Wen Wang, Mang Wang, Weipeng Chen, Ji-Rong Wen |
| 2025 | SIGIR | Exploring the Escalation of Source Bias in User, Data, and Recommender System Feedback Loop. | Yuqi Zhou, Sunhao Dai, Liang Pang, Gang Wang, Zhenhua Dong, Jun Xu, Ji-Rong Wen |
| 2025 | SIGIR | Search-Based Interaction For Conversation Recommendation via Generative Reward Model Based Simulated User. | Xiaolei Wang, Chunxuan Xia, Junyi Li, Fanzhe Meng, Lei Huang, Jinpeng Wang, Wayne Xin Zhao, Ji-Rong Wen |
| 2025 | SIGIR | FairDiverse: A Comprehensive Toolkit for Fairness- and Diversity-aware Information Retrieval. | Chen Xu, Zhirui Deng, Clara Rus, Xiaopeng Ye, Yuanna Liu, Jun Xu, Zhicheng Dou, Ji-Rong Wen, Maarten de Rijke |
| 2025 | SIGIR | NExT-Search: Rebuilding User Feedback Ecosystem for Generative AI Search. | Sunhao Dai, Wenjie Wang, Liang Pang, Jun Xu, See-Kiong Ng, Ji-Rong Wen, Tat-Seng Chua |
| 2025 | SIGIR | Investigating the Robustness of Counterfactual Learning to Rank Models: A Reproducibility Study. | Zechun Niu, Zhilin Zhang, Jiaxin Mao, Qingyao Ai, Ji-Rong Wen |
| 2025 | SIGIR | LLM-Empowered Creator Simulation for Long-Term Evaluation of Recommender Systems Under Information Asymmetry. | Xiaopeng Ye, Chen Xu, Zhongxiang Sun, Jun Xu, Gang Wang, Zhenhua Dong, Ji-Rong Wen |
| 2025 | WACV | Uniform Attention Maps: Boosting Image Fidelity in Reconstruction and Editing. | Wenyi Mo, Tianyu Zhang, Yalong Bai, Bing Su, Ji-Rong Wen |
| 2024 | AAAI | Your Career Path Matters in Person-Job Fit. | Zhuocheng Gong, Yang Song, Tao Zhang, Ji-Rong Wen, Dongyan Zhao, Rui Yan |
| 2024 | ACL | INTERS: Unlocking the Power of Large Language Models in Search with Instruction Tuning. | Yutao Zhu, Peitian Zhang, Chenghao Zhang, Yifei Chen, Binyu Xie, Zheng Liu, Ji-Rong Wen, Zhicheng Dou |
| 2024 | ACL | Can Large Language Models Mine Interpretable Financial Factors More Effectively? A Neural-Symbolic Factor Mining Agent Model. | Zhiwei Li, Ran Song, Caihong Sun, Wei Xu, Zhengtao Yu, Ji-Rong Wen |
| 2024 | ACL | Masked Thought: Simply Masking Partial Reasoning Steps Can Improve Mathematical Reasoning Learning of Language Models. | Changyu Chen, Xiting Wang, Ting-En Lin, Ang Lv, Yuchuan Wu, Xin Gao, Ji-Rong Wen, Rui Yan, Yongbin Li |
| 2024 | ACL | Improving Large Language Models via Fine-grained Reinforcement Learning with Minimum Editing Constraint. | Zhipeng Chen, Kun Zhou, Xin Zhao, Junchen Wan, Fuzheng Zhang, Di Zhang, Ji-Rong Wen |
| 2024 | ACL | Cocktail: A Comprehensive Information Retrieval Benchmark with LLM-Generated Documents Integration. | Sunhao Dai, Weihao Liu, Yuqi Zhou, Liang Pang, Rongju Ruan, Gang Wang, Zhenhua Dong, Jun Xu, Ji-Rong Wen |
| 2024 | ACL | The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models. | Junyi Li, Jie Chen, Ruiyang Ren, Xiaoxue Cheng, Xin Zhao, Jian-Yun Nie, Ji-Rong Wen |
| 2024 | ACL | Unlocking Data-free Low-bit Quantization with Matrix Decomposition for KV Cache Compression. | Peiyu Liu, Ze-Feng Gao, Xin Zhao, Yipeng Ma, Tao Wang, Ji-Rong Wen |
| 2024 | ACL | DetermLR: Augmenting LLM-based Logical Reasoning from Indeterminacy to Determinacy. | Hongda Sun, Weikai Xu, Wei Liu, Jian Luan, Bin Wang, Shuo Shang, Ji-Rong Wen, Rui Yan |
| 2024 | ACL | Small Models, Big Insights: Leveraging Slim Proxy Models To Decide When and What to Retrieve for LLMs. | Jiejun Tan, Zhicheng Dou, Yutao Zhu, Peidong Guo, Kun Fang, Ji-Rong Wen |
| 2024 | ACL | LLMBox: A Comprehensive Library for Large Language Models. | 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, Ranchi Zhao, Luran Ding, Yuhao Wang, Zican Dong, Chunxuan Xia, Junyi Li, Kun Zhou, Xin Zhao, Ji-Rong Wen |
| 2024 | ACL | Language-Specific Neurons: The Key to Multilingual Capabilities in Large Language Models. | Tianyi Tang, Wenyang Luo, Haoyang Huang, Dongdong Zhang, Xiaolei Wang, Xin Zhao, Furu Wei, Ji-Rong Wen |
| 2024 | CIKM | Towards Completeness-Oriented Tool Retrieval for Large Language Models. | Changle Qu, Sunhao Dai, Xiaochi Wei, Hengyi Cai, Shuaiqiang Wang, Dawei Yin, Jun Xu, Ji-Rong Wen |
| 2024 | COLING | ChainLM: Empowering Large Language Models with Improved Chain-of-Thought Prompting. | Xiaoxue Cheng, Junyi Li, Wayne Xin Zhao, Ji-Rong Wen |
| 2024 | COLING | BAMBOO: A Comprehensive Benchmark for Evaluating Long Text Modeling Capacities of Large Language Models. | Zican Dong, Tianyi Tang, Junyi Li, Wayne Xin Zhao, Ji-Rong Wen |
| 2024 | COLING | Enhancing Parameter-efficient Fine-tuning with Simple Calibration Based on Stable Rank. | Peiyu Liu, Ze-Feng Gao, Xiao Zhang, Wayne Xin Zhao, Ji-Rong Wen |
| 2024 | COLING | Do Emergent Abilities Exist in Quantized Large Language Models: An Empirical Study. | Peiyu Liu, Zikang Liu, Ze-Feng Gao, Dawei Gao, Wayne Xin Zhao, Yaliang Li, Bolin Ding, Ji-Rong Wen |
| 2024 | CVPR | Dynamic Prompt Optimizing for Text-to-Image Generation. | Wenyi Mo, Tianyu Zhang, Yalong Bai, Bing Su, Ji-Rong Wen, Qing Yang |
| 2024 | EACL | Diffusion-NAT: Self-Prompting Discrete Diffusion for Non-Autoregressive Text Generation. | Kun Zhou, Yifan Li, Xin Zhao, Ji-Rong Wen |
| 2024 | ECCV | Images are Achilles' Heel of Alignment: Exploiting Visual Vulnerabilities for Jailbreaking Multimodal Large Language Models. | Yifan Li, Hangyu Guo, Kun Zhou, Wayne Xin Zhao, Ji-Rong Wen |
| 2024 | EMNLP | Not Everything is All You Need: Toward Low-Redundant Optimization for Large Language Model Alignment. | Zhipeng Chen, Kun Zhou, Xin Zhao, Jingyuan Wang, Ji-Rong Wen |
| 2024 | EMNLP | Unveiling the Flaws: Exploring Imperfections in Synthetic Data and Mitigation Strategies for Large Language Models. | Jie Chen, Yupeng Zhang, Bingning Wang, Xin Zhao, Ji-Rong Wen, Weipeng Chen |
| 2024 | EMNLP | Learning Dynamic Multi-attribute Interest for Personalized Product Search. | Yutong Bai, Zhicheng Dou, Ji-Rong Wen |
| 2024 | EMNLP | Small Agent Can Also Rock! Empowering Small Language Models as Hallucination Detector. | Xiaoxue Cheng, Junyi Li, Xin Zhao, Hongzhi Zhang, Fuzheng Zhang, Di Zhang, Kun Gai, Ji-Rong Wen |
| 2024 | EMNLP | Large Language Model-based Human-Agent Collaboration for Complex Task Solving. | Xueyang Feng, Zhiyuan Chen, Yujia Qin, Yankai Lin, Xu Chen, Zhiyuan Liu, Ji-Rong Wen |
| 2024 | EMNLP | An Analysis and Mitigation of the Reversal Curse. | Ang Lv, Kaiyi Zhang, Shufang Xie, Quan Tu, Yuhan Chen, Ji-Rong Wen, Rui Yan |
| 2024 | EMNLP | BASES: Large-scale Web Search User Simulation with Large Language Model based Agents. | Ruiyang Ren, Peng Qiu, Yingqi Qu, Jing Liu, Xin Zhao, Hua Wu, Ji-Rong Wen, Haifeng Wang |
| 2024 | EMNLP | REAR: A Relevance-Aware Retrieval-Augmented Framework for Open-Domain Question Answering. | Yuhao Wang, Ruiyang Ren, Junyi Li, Xin Zhao, Jing Liu, Ji-Rong Wen |
| 2024 | EMNLP | AuriSRec: Adversarial User Intention Learning in Sequential Recommendation. | Junjie Zhang, Ruobing Xie, Wenqi Sun, Leyu Lin, Xin Zhao, Ji-Rong Wen |
| 2024 | ICDE | Modeling User Attention in Music Recommendation. | Sunhao Dai, Ninglu Shao, Jieming Zhu, Xiao Zhang, Zhenhua Dong, Jun Xu, Quanyu Dai, Ji-Rong Wen |
| 2024 | ICDE | Optimizing Probabilistic Box Embeddings with Distance Measures. | Lang Mei, Jiaxin Mao, Ji-Rong Wen |
| 2024 | ICDE | Adapting Large Language Models by Integrating Collaborative Semantics for Recommendation. | Bowen Zheng, Yupeng Hou, Hongyu Lu, Yu Chen, Wayne Xin Zhao, Ming Chen, Ji-Rong Wen |
| 2024 | ICDT | Approximating Single-Source Personalized PageRank with Absolute Error Guarantees. | Zhewei Wei, Ji-Rong Wen, Mingji Yang |
| 2024 | ICLR | Beyond Imitation: Leveraging Fine-grained Quality Signals for Alignment. | Geyang Guo, Ranchi Zhao, Tianyi Tang, Xin Zhao, Ji-Rong Wen |
| 2024 | ICML | Unlocking the Power of Spatial and Temporal Information in Medical Multimodal Pre-training. | Jinxia Yang, Bing Su, Xin Zhao, Ji-Rong Wen |
| 2024 | KDD | Rotative Factorization Machines. | Zhen Tian, Yuhong Shi, Xiangkun Wu, Wayne Xin Zhao, Ji-Rong Wen |
| 2024 | KDD | Counteracting Duration Bias in Video Recommendation via Counterfactual Watch Time. | Haiyuan Zhao, Guohao Cai, Jieming Zhu, Zhenhua Dong, Jun Xu, Ji-Rong Wen |
| 2024 | RecSys | Promoting Two-sided Fairness with Adaptive Weights for Providers and Customers in Recommendation. | Lanling Xu, Zihan Lin, Jinpeng Wang, Sheng Chen, Wayne Xin Zhao, Ji-Rong Wen |
| 2024 | RecSys | Scaling Law of Large Sequential Recommendation Models. | Gaowei Zhang, Yupeng Hou, Hongyu Lu, Yu Chen, Wayne Xin Zhao, Ji-Rong Wen |
| 2024 | WWW | Large Language Model Powered Agents in the Web. | Yang Deng, An Zhang, Yankai Lin, Xu Chen, Ji-Rong Wen, Tat-Seng Chua |
| 2024 | WWW | AgentCF: Collaborative Learning with Autonomous Language Agents for Recommender Systems. | Junjie Zhang, Yupeng Hou, Ruobing Xie, Wenqi Sun, Julian J. McAuley, Wayne Xin Zhao, Leyu Lin, Ji-Rong Wen |
| 2024 | SIGIR | Large Language Model Powered Agents for Information Retrieval. | An Zhang, Yang Deng, Yankai Lin, Xu Chen, Ji-Rong Wen, Tat-Seng Chua |
| 2024 | SIGIR | EulerFormer: Sequential User Behavior Modeling with Complex Vector Attention. | Zhen Tian, Wayne Xin Zhao, Changwang Zhang, Xin Zhao, Zhongrui Ma, Ji-Rong Wen |
| 2024 | STOC | Revisiting Local Computation of PageRank: Simple and Optimal. | Hanzhi Wang, Zhewei Wei, Ji-Rong Wen, Mingji Yang |
| 2024 | WSDM | CL4DIV: A Contrastive Learning Framework for Search Result Diversification. | Zhirui Deng, Zhicheng Dou, Yutao Zhu, Ji-Rong Wen |
| 2023 | ACL | Zero-shot Visual Question Answering with Language Model Feedback. | Yifan Du, Junyi Li, Tianyi Tang, Wayne Xin Zhao, Ji-Rong Wen |
| 2023 | ACL | Small Pre-trained Language Models Can be Fine-tuned as Large Models via Over-Parameterization. | Ze-Feng Gao, Kun Zhou, Peiyu Liu, Wayne Xin Zhao, Ji-Rong Wen |
| 2023 | ACL | Visually-augmented pretrained language models for NLP tasks without images. | Hangyu Guo, Kun Zhou, Wayne Xin Zhao, Qinyu Zhang, Ji-Rong Wen |
| 2023 | ACL | The Web Can Be Your Oyster for Improving Language Models. | Junyi Li, Tianyi Tang, Wayne Xin Zhao, Jingyuan Wang, Jian-Yun Nie, Ji-Rong Wen |
| 2023 | ACL | TOME: A Two-stage Approach for Model-based Retrieval. | Ruiyang Ren, Wayne Xin Zhao, Jing Liu, Hua Wu, Ji-Rong Wen, Haifeng Wang |
| 2023 | ACL | Learning to Imagine: Visually-Augmented Natural Language Generation. | Tianyi Tang, Yushuo Chen, Yifan Du, Junyi Li, Wayne Xin Zhao, Ji-Rong Wen |
| 2023 | ACL | MVP: Multi-task Supervised Pre-training for Natural Language Generation. | Tianyi Tang, Junyi Li, Wayne Xin Zhao, Ji-Rong Wen |
| 2023 | ACL | SSP: Self-Supervised Post-training for Conversational Search. | Quan Tu, Shen Gao, Xiaolong Wu, Zhao Cao, Ji-Rong Wen, Rui Yan |
| 2023 | CIKM | Multi-modal Mixture of Experts Represetation Learning for Sequential Recommendation. | Shuqing Bian, Xingyu Pan, Wayne Xin Zhao, Jinpeng Wang, Chuyuan Wang, Ji-Rong Wen |
| 2023 | CIKM | Dually Enhanced Delayed Feedback Modeling for Streaming Conversion Rate Prediction. | Sunhao Dai, Yuqi Zhou, Jun Xu, Ji-Rong Wen |
| 2023 | CIKM | VILE: Block-Aware Visual Enhanced Document Retrieval. | Huaying Yuan, Zhicheng Dou, Yujia Zhou, Yu Guo, Ji-Rong Wen |
| 2023 | DASFAA | Towards Efficient and Effective Transformers for Sequential Recommendation. | Wenqi Sun, Zheng Liu, Xinyan Fan, Ji-Rong Wen, Wayne Xin Zhao |
| 2023 | EMNLP | Enhancing Generative Retrieval with Reinforcement Learning from Relevance Feedback. | Yujia Zhou, Zhicheng Dou, Ji-Rong Wen |
| 2023 | EMNLP | ChatCoT: Tool-Augmented Chain-of-Thought Reasoning on Chat-based Large Language Models. | Zhipeng Chen, Kun Zhou, Beichen Zhang, Zheng Gong, Xin Zhao, Ji-Rong Wen |
| 2023 | EMNLP | StructGPT: A General Framework for Large Language Model to Reason over Structured Data. | Jinhao Jiang, Kun Zhou, Zican Dong, Keming Ye, Xin Zhao, Ji-Rong Wen |
| 2023 | EMNLP | ReasoningLM: Enabling Structural Subgraph Reasoning in Pre-trained Language Models for Question Answering over Knowledge Graph. | Jinhao Jiang, Kun Zhou, Wayne Xin Zhao, Yaliang Li, Ji-Rong Wen |
| 2023 | EMNLP | HaluEval: A Large-Scale Hallucination Evaluation Benchmark for Large Language Models. | Junyi Li, Xiaoxue Cheng, Xin Zhao, Jian-Yun Nie, Ji-Rong Wen |
| 2023 | EMNLP | Evaluating Object Hallucination in Large Vision-Language Models. | Yifan Li, Yifan Du, Kun Zhou, Jinpeng Wang, Wayne Xin Zhao, Ji-Rong Wen |
| 2023 | EMNLP | Enhancing Scalability of Pre-trained Language Models via Efficient Parameter Sharing. | Peiyu Liu, Ze-Feng Gao, Yushuo Chen, Xin Zhao, Ji-Rong Wen |
| 2023 | EMNLP | A Thorough Examination on Zero-shot Dense Retrieval. | Ruiyang Ren, Yingqi Qu, Jing Liu, Xin Zhao, Qifei Wu, Yuchen Ding, Hua Wu, Haifeng Wang, Ji-Rong Wen |
| 2023 | EMNLP | Rethinking the Evaluation for Conversational Recommendation in the Era of Large Language Models. | Xiaolei Wang, Xinyu Tang, Xin Zhao, Jingyuan Wang, Ji-Rong Wen |
| 2023 | ICDE | Sequential Recommendation with User Causal Behavior Discovery. | Zhenlei Wang, Xu Chen, Rui Zhou, Quanyu Dai, Zhenhua Dong, Ji-Rong Wen |
| 2023 | ICDE | Looking Back on the Past: Active Learning with Historical Evaluation Results : Extended Abstract. | Jing Yao, Zhicheng Dou, Jian-Yun Nie, Ji-Rong Wen |
| 2023 | ICLR | UniKGQA: Unified Retrieval and Reasoning for Solving Multi-hop Question Answering Over Knowledge Graph. | Jinhao Jiang, Kun Zhou, Xin Zhao, Ji-Rong Wen |
| 2023 | IJCAI | Diffusion Models for Non-autoregressive Text Generation: A Survey. | Yifan Li, Kun Zhou, Wayne Xin Zhao, Ji-Rong Wen |
| 2023 | KDD | Contrastive Learning for User Sequence Representation in Personalized Product Search. | Shitong Dai, Jiongnan Liu, Zhicheng Dou, Haonan Wang, Lin Liu, Bo Long, Ji-Rong Wen |
| 2023 | KDD | PSLOG: Pretraining with Search Logs for Document Ranking. | Zhan Su, Zhicheng Dou, Yujia Zhou, Ziyuan Zhao, Ji-Rong Wen |
| 2023 | KDD | Improving Conversational Recommendation Systems via Counterfactual Data Simulation. | Xiaolei Wang, Kun Zhou, Xinyu Tang, Wayne Xin Zhao, Fan Pan, Zhao Cao, Ji-Rong Wen |
| 2023 | KDD | JiuZhang 2.0: A Unified Chinese Pre-trained Language Model for Multi-task Mathematical Problem Solving. | Xin Zhao, Kun Zhou, Beichen Zhang, Zheng Gong, Zhipeng Chen, Yuanhang Zhou, Ji-Rong Wen, Jing Sha, Shijin Wang, Cong Liu, Guoping Hu |
| 2023 | MMM | Binary Neural Network for Video Action Recognition. | Hongfeng Han, Zhiwu Lu, Ji-Rong Wen |
| 2023 | MMM | CTDA: Contrastive Temporal Domain Adaptation for Action Segmentation. | Hongfeng Han, Zhiwu Lu, Ji-Rong Wen |
| 2023 | RecSys | Generative Next-Basket Recommendation. | Wenqi Sun, Ruobing Xie, Junjie Zhang, Wayne Xin Zhao, Leyu Lin, Ji-Rong Wen |
| 2023 | RecSys | Alleviating the Long-Tail Problem in Conversational Recommender Systems. | Zhipeng Zhao, Kun Zhou, Xiaolei Wang, Wayne Xin Zhao, Fan Pan, Zhao Cao, Ji-Rong Wen |
| 2023 | RecSys | Uncovering User Interest from Biased and Noised Watch Time in Video Recommendation. | Haiyuan Zhao, Lei Zhang, Jun Xu, Guohao Cai, Zhenhua Dong, Ji-Rong Wen |
| 2023 | WWW | Incorporating Explicit Subtopics in Personalized Search. | Shuting Wang, Zhicheng Dou, Jing Yao, Yujia Zhou, Ji-Rong Wen |
| 2023 | SIGIR | When Search Meets Recommendation: Learning Disentangled Search Representation for Recommendation. | Zihua Si, Zhongxiang Sun, Xiao Zhang, Jun Xu, Xiaoxue Zang, Yang Song, Kun Gai, Ji-Rong Wen |
| 2023 | SIGIR | Law Article-Enhanced Legal Case Matching: A Causal Learning Approach. | Zhongxiang Sun, Jun Xu, Xiao Zhang, Zhenhua Dong, Ji-Rong Wen |
| 2023 | SIGIR | EulerNet: Adaptive Feature Interaction Learning via Euler's Formula for CTR Prediction. | Zhen Tian, Ting Bai, Wayne Xin Zhao, Ji-Rong Wen, Zhao Cao |
| 2023 | SIGIR | Towards a More User-Friendly and Easy-to-Use Benchmark Library for Recommender Systems. | 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 | WSDM | Directed Acyclic Graph Factorization Machines for CTR Prediction via Knowledge Distillation. | Zhen Tian, Ting Bai, Zibin Zhang, Zhiyuan Xu, Kangyi Lin, Ji-Rong Wen, Wayne Xin Zhao |
| 2023 | WSDM | Separating Examination and Trust Bias from Click Predictions for Unbiased Relevance Ranking. | Haiyuan Zhao, Jun Xu, Xiao Zhang, Guohao Cai, Zhenhua Dong, Ji-Rong Wen |
| 2022 | ACL | There Are a Thousand Hamlets in a Thousand People's Eyes: Enhancing Knowledge-grounded Dialogue with Personal Memory. | Tingchen Fu, Xueliang Zhao, Chongyang Tao, Ji-Rong Wen, Rui Yan |
| 2022 | ACL | Finding the Dominant Winning Ticket in Pre-Trained Language Models. | Zhuocheng Gong, Di He, Yelong Shen, Tie-Yan Liu, Weizhu Chen, Dongyan Zhao, Ji-Rong Wen, Rui Yan |
| 2022 | ACL | Continual Pre-training of Language Models for Math Problem Understanding with Syntax-Aware Memory Network. | Zheng Gong, Kun Zhou, Wayne Xin Zhao, Jing Sha, Shijin Wang, Ji-Rong Wen |
| 2022 | ACL | MISC: A Mixed Strategy-Aware Model integrating COMET for Emotional Support Conversation. | Quan Tu, Yanran Li, Jianwei Cui, Bin Wang, Ji-Rong Wen, Rui Yan |
| 2022 | ACL | Debiased Contrastive Learning of Unsupervised Sentence Representations. | Kun Zhou, Beichen Zhang, Wayne Xin Zhao, Ji-Rong Wen |
| 2022 | CIKM | A Relevant and Diverse Retrieval-enhanced Data Augmentation Framework for Sequential Recommendation. | Shuqing Bian, Wayne Xin Zhao, Jinpeng Wang, Ji-Rong Wen |
| 2022 | CIKM | Enhancing User Behavior Sequence Modeling by Generative Tasks for Session Search. | Haonan Chen, Zhicheng Dou, Yutao Zhu, Zhao Cao, Xiaohua Cheng, Ji-Rong Wen |
| 2022 | CIKM | Dually Enhanced Propensity Score Estimation in Sequential Recommendation. | Chen Xu, Jun Xu, Xu Chen, Zhenhua Dong, Ji-Rong Wen |
| 2022 | CIKM | RecBole 2.0: Towards a More Up-to-Date Recommendation Library. | 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 | COLING | Parameter-Efficient Mixture-of-Experts Architecture for Pre-trained Language Models. | Ze-Feng Gao, Peiyu Liu, Wayne Xin Zhao, Zhong-Yi Lu, Ji-Rong Wen |
| 2022 | COLING | Context-Tuning: Learning Contextualized Prompts for Natural Language Generation. | Tianyi Tang, Junyi Li, Wayne Xin Zhao, Ji-Rong Wen |
| 2022 | COLING | Semantic Sentence Matching via Interacting Syntax Graphs. | Chen Xu, Jun Xu, Zhenhua Dong, Ji-Rong Wen |
| 2022 | COLING | Optimal Partial Transport Based Sentence Selection for Long-form Document Matching. | Weijie Yu, Liang Pang, Jun Xu, Bing Su, Zhenhua Dong, Ji-Rong Wen |
| 2022 | CVPR | Learning to Answer Questions in Dynamic Audio-Visual Scenarios. | Guangyao Li, Yake Wei, Yapeng Tian, Chenliang Xu, Ji-Rong Wen, Di Hu |
| 2022 | CVPR | COTS: Collaborative Two-Stream Vision-Language Pre-Training Model for Cross-Modal Retrieval. | Haoyu Lu, Nanyi Fei, Yuqi Huo, Yizhao Gao, Zhiwu Lu, Ji-Rong Wen |
| 2022 | DASFAA | Leveraging Search History for Improving Person-Job Fit. | Yupeng Hou, Xingyu Pan, Wayne Xin Zhao, Shuqing Bian, Yang Song, Tao Zhang, Ji-Rong Wen |
| 2022 | EMNLP | ELMER: A Non-Autoregressive Pre-trained Language Model for Efficient and Effective Text Generation. | Junyi Li, Tianyi Tang, Wayne Xin Zhao, Jian-Yun Nie, Ji-Rong Wen |
| 2022 | EMNLP | A Multi-Modal Knowledge Graph for Classical Chinese Poetry. | Yuqing Li, Yuxin Zhang, Bin Wu, Ji-Rong Wen, Ruihua Song, Ting Bai |
| 2022 | EMNLP | TextBox 2.0: A Text Generation Library with Pre-trained Language Models. | Tianyi Tang, Junyi Li, Zhipeng Chen, Yiwen Hu, Zhuohao Yu, Wenxun Dai, Wayne Xin Zhao, Jian-Yun Nie, Ji-Rong Wen |
| 2022 | EMNLP | SimANS: Simple Ambiguous Negatives Sampling for Dense Text Retrieval. | Kun Zhou, Yeyun Gong, Xiao Liu, Wayne Xin Zhao, Yelong Shen, Anlei Dong, Jingwen Lu, Rangan Majumder, Ji-Rong Wen, Nan Duan |
| 2022 | ICDM | Privacy-Preserved Neural Graph Similarity Learning. | Yupeng Hou, Wayne Xin Zhao, Yaliang Li, Ji-Rong Wen |
| 2022 | ICLR | Temporal Alignment Prediction for Supervised Representation Learning and Few-Shot Sequence Classification. | Bing Su, Ji-Rong Wen |
| 2022 | ICTIR | A Tag-Based Post-Hoc Framework for Explainable Conversational Recommendation. | Kerui Xu, Jun Xu, Sheng Gao, Si Li, Jun Guo, Ji-Rong Wen |
| 2022 | KDD | Towards Universal Sequence Representation Learning for Recommender Systems. | Yupeng Hou, Shanlei Mu, Wayne Xin Zhao, Yaliang Li, Bolin Ding, Ji-Rong Wen |
| 2022 | KDD | Feature-aware Diversified Re-ranking with Disentangled Representations for Relevant Recommendation. | Zihan Lin, Hui Wang, Jingshu Mao, Wayne Xin Zhao, Cheng Wang, Peng Jiang, Ji-Rong Wen |
| 2022 | KDD | Knowledge Enhanced Search Result Diversification. | Zhan Su, Zhicheng Dou, Yutao Zhu, Ji-Rong Wen |
| 2022 | KDD | Towards Unified Conversational Recommender Systems via Knowledge-Enhanced Prompt Learning. | Xiaolei Wang, Kun Zhou, Ji-Rong Wen, Wayne Xin Zhao |
| 2022 | KDD | Counteracting User Attention Bias in Music Streaming Recommendation via Reward Modification. | Xiao Zhang, Sunhao Dai, Jun Xu, Zhenhua Dong, Quanyu Dai, Ji-Rong Wen |
| 2022 | KDD | JiuZhang: A Chinese Pre-trained Language Model for Mathematical Problem Understanding. | Wayne Xin Zhao, Kun Zhou, Zheng Gong, Beichen Zhang, Yuanhang Zhou, Jing Sha, Zhigang Chen, Shijin Wang, Cong Liu, Ji-Rong Wen |
| 2022 | NAACL | $Great Truths are Always Simple: $ A Rather Simple Knowledge Encoder for Enhancing the Commonsense Reasoning Capacity of Pre-Trained Models. | Jinhao Jiang, Kun Zhou, Ji-Rong Wen, Wayne Xin Zhao |
| 2022 | NAACL | ElitePLM: An Empirical Study on General Language Ability Evaluation of Pretrained Language Models. | Junyi Li, Tianyi Tang, Zheng Gong, Lixin Yang, Zhuohao Yu, Zhipeng Chen, Jingyuan Wang, Xin Zhao, Ji-Rong Wen |
| 2022 | NAACL | Learning to Transfer Prompts for Text Generation. | Junyi Li, Tianyi Tang, Jian-Yun Nie, Ji-Rong Wen, Xin Zhao |
| 2022 | NAACL | Less is More: Learning to Refine Dialogue History for Personalized Dialogue Generation. | Hanxun Zhong, Zhicheng Dou, Yutao Zhu, Hongjin Qian, Ji-Rong Wen |
| 2022 | RecSys | Modeling Two-Way Selection Preference for Person-Job Fit. | Chen Yang, Yupeng Hou, Yang Song, Tao Zhang, Ji-Rong Wen, Wayne Xin Zhao |
| 2022 | WWW | A Category-aware Multi-interest Model for Personalized Product Search. | Jiongnan Liu, Zhicheng Dou, Qiannan Zhu, Ji-Rong Wen |
| 2022 | WWW | Learning Probabilistic Box Embeddings for Effective and Efficient Ranking. | Lang Mei, Jiaxin Mao, Gang Guo, Ji-Rong Wen |
| 2022 | WWW | A Model-Agnostic Causal Learning Framework for Recommendation using Search Data. | Zihua Si, Xueran Han, Xiao Zhang, Jun Xu, Yue Yin, Yang Song, Ji-Rong Wen |
| 2022 | WWW | Unbiased Sequential Recommendation with Latent Confounders. | Zhenlei Wang, Shiqi Shen, Zhipeng Wang, Bo Chen, Xu Chen, Ji-Rong Wen |
| 2022 | WWW | Filter-enhanced MLP is All You Need for Sequential Recommendation. | Kun Zhou, Hui Yu, Wayne Xin Zhao, Ji-Rong Wen |
| 2022 | SIGIR | Alleviating Spurious Correlations in Knowledge-aware Recommendations through Counterfactual Generator. | Shanlei Mu, Yaliang Li, Wayne Xin Zhao, Jingyuan Wang, Bolin Ding, Ji-Rong Wen |
| 2022 | SIGIR | Explainable Legal Case Matching via Inverse Optimal Transport-based Rationale Extraction. | Weijie Yu, Zhongxiang Sun, Jun Xu, Zhenhua Dong, Xu Chen, Hongteng Xu, Ji-Rong Wen |
| 2022 | SIGIR | Generating Clarifying Questions with Web Search Results. | Ziliang Zhao, Zhicheng Dou, Jiaxin Mao, Ji-Rong Wen |
| 2022 | WSDM | Improving Session Search by Modeling Multi-Granularity Historical Query Change. | Xiaochen Zuo, Zhicheng Dou, Ji-Rong Wen |
| 2022 | SDM | Neural Graph Matching for Pre-training Graph Neural Networks. | Yupeng Hou, Binbin Hu, Wayne Xin Zhao, Zhiqiang Zhang, Jun Zhou, Ji-Rong Wen |
| 2021 | AAAI | Regret Bounds for Online Kernel Selection in Continuous Kernel Space. | Xiao Zhang, Shizhong Liao, Jun Xu, Ji-Rong Wen |
| 2021 | ACL | TextBox: A Unified, Modularized, and Extensible Framework for Text Generation. | Junyi Li, Tianyi Tang, Gaole He, Jinhao Jiang, Xiaoxuan Hu, Puzhao Xie, Zhipeng Chen, Zhuohao Yu, Wayne Xin Zhao, Ji-Rong Wen |
| 2021 | ACL | Few-shot Knowledge Graph-to-Text Generation with Pretrained Language Models. | Junyi Li, Tianyi Tang, Wayne Xin Zhao, Zhicheng Wei, Nicholas Jing Yuan, Ji-Rong Wen |
| 2021 | ACL | Enabling Lightweight Fine-tuning for Pre-trained Language Model Compression based on Matrix Product Operators. | Peiyu Liu, Ze-Feng Gao, Wayne Xin Zhao, Zhi-Yuan Xie, Zhong-Yi Lu, Ji-Rong Wen |
| 2021 | ACL | PAIR: Leveraging Passage-Centric Similarity Relation for Improving Dense Passage Retrieval. | Ruiyang Ren, Shangwen Lv, Yingqi Qu, Jing Liu, Wayne Xin Zhao, Qiaoqiao She, Hua Wu, Haifeng Wang, Ji-Rong Wen |
| 2021 | ACL | A Pre-training Strategy for Zero-Resource Response Selection in Knowledge-Grounded Conversations. | Chongyang Tao, Changyu Chen, Jiazhan Feng, Ji-Rong Wen, Rui Yan |
| 2021 | ACL | A Joint Model for Dropped Pronoun Recovery and Conversational Discourse Parsing in Chinese Conversational Speech. | Jingxuan Yang, Kerui Xu, Jun Xu, Si Li, Sheng Gao, Jun Guo, Nianwen Xue, Ji-Rong Wen |
| 2021 | ACL | CRSLab: An Open-Source Toolkit for Building Conversational Recommender System. | Kun Zhou, Xiaolei Wang, Yuanhang Zhou, Chenzhan Shang, Yuan Cheng, Wayne Xin Zhao, Yaliang Li, Ji-Rong Wen |
| 2021 | APWEB | Generating Long and Coherent Text with Multi-Level Generative Adversarial Networks. | Tianyi Tang, Junyi Li, Wayne Xin Zhao, Ji-Rong Wen |
| 2021 | CIKM | Contrastive Curriculum Learning for Sequential User Behavior Modeling via Data Augmentation. | Shuqing Bian, Wayne Xin Zhao, Kun Zhou, Jing Cai, Yancheng He, Cunxiang Yin, Ji-Rong Wen |
| 2021 | CIKM | Pre-training for Ad-hoc Retrieval: Hyperlink is Also You Need. | Zhengyi Ma, Zhicheng Dou, Wei Xu, Xinyu Zhang, Hao Jiang, Zhao Cao, Ji-Rong Wen |
| 2021 | CIKM | Learning Implicit User Profile for Personalized Retrieval-Based Chatbot. | Hongjin Qian, Zhicheng Dou, Yutao Zhu, Yueyuan Ma, Ji-Rong Wen |
| 2021 | CIKM | USER: A Unified Information Search and Recommendation Model based on Integrated Behavior Sequence. | Jing Yao, Zhicheng Dou, Ruobing Xie, Yanxiong Lu, Zhiping Wang, Ji-Rong Wen |
| 2021 | CIKM | RecBole: Towards a Unified, Comprehensive and Efficient Framework for Recommendation Algorithms. | 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 | CIKM | PSSL: Self-supervised Learning for Personalized Search with Contrastive Sampling. | Yujia Zhou, Zhicheng Dou, Yutao Zhu, Ji-Rong Wen |
| 2021 | CVPR | Counterfactual VQA: A Cause-Effect Look at Language Bias. | Yulei Niu, Kaihua Tang, Hanwang Zhang, Zhiwu Lu, Xian-Sheng Hua, Ji-Rong Wen |
| 2021 | EMNLP | RocketQAv2: A Joint Training Method for Dense Passage Retrieval and Passage Re-ranking. | Ruiyang Ren, Yingqi Qu, Jing Liu, Wayne Xin Zhao, Qiaoqiao She, Hua Wu, Haifeng Wang, Ji-Rong Wen |
| 2021 | EMNLP | Virtual Data Augmentation: A Robust and General Framework for Fine-tuning Pre-trained Models. | Kun Zhou, Wayne Xin Zhao, Sirui Wang, Fuzheng Zhang, Wei Wu, Ji-Rong Wen |
| 2021 | IJCAI | A Survey on Complex Knowledge Base Question Answering: Methods, Challenges and Solutions. | Yunshi Lan, Gaole He, Jinhao Jiang, Jing Jiang, Wayne Xin Zhao, Ji-Rong Wen |
| 2021 | IJCAI | Pretrained Language Model for Text Generation: A Survey. | Junyi Li, Tianyi Tang, Wayne Xin Zhao, Ji-Rong Wen |
| 2021 | KDD | Debiasing Learning based Cross-domain Recommendation. | Siqing Li, Liuyi Yao, Shanlei Mu, Wayne Xin Zhao, Yaliang Li, Tonglei Guo, Bolin Ding, Ji-Rong Wen |
| 2021 | KDD | Approximate Graph Propagation. | Hanzhi Wang, Mingguo He, Zhewei Wei, Sibo Wang, Ye Yuan, Xiaoyong Du, Ji-Rong Wen |
| 2021 | WWW | A Novel Macro-Micro Fusion Network for User Representation Learning on Mobile Apps. | Shuqing Bian, Wayne Xin Zhao, Kun Zhou, Xu Chen, Jing Cai, Yancheng He, Xingji Luo, Ji-Rong Wen |
| 2021 | WWW | FedPS: A Privacy Protection Enhanced Personalized Search Framework. | Jing Yao, Zhicheng Dou, Ji-Rong Wen |
| 2021 | SIGIR | Lighter and Better: Low-Rank Decomposed Self-Attention Networks for Next-Item Recommendation. | Xinyan Fan, Zheng Liu, Jianxun Lian, Wayne Xin Zhao, Xing Xie, Ji-Rong Wen |
| 2021 | SIGIR | Knowledge-based Review Generation by Coherence Enhanced Text Planning. | Junyi Li, Wayne Xin Zhao, Zhicheng Wei, Nicholas Jing Yuan, Ji-Rong Wen |
| 2021 | SIGIR | One Chatbot Per Person: Creating Personalized Chatbots based on Implicit User Profiles. | Zhengyi Ma, Zhicheng Dou, Yutao Zhu, Hanxun Zhong, Ji-Rong Wen |
| 2021 | SIGIR | Pchatbot: A Large-Scale Dataset for Personalized Chatbot. | Hongjin Qian, Xiaohe Li, Hanxun Zhong, Yu Guo, Yueyuan Ma, Yutao Zhu, Zhanliang Liu, Zhicheng Dou, Ji-Rong Wen |
| 2021 | SIGIR | Modeling Intent Graph for Search Result Diversification. | Zhan Su, Zhicheng Dou, Yutao Zhu, Xubo Qin, Ji-Rong Wen |
| 2021 | SIGIR | Counterfactual Data-Augmented Sequential Recommendation. | Zhenlei Wang, Jingsen Zhang, Hongteng Xu, Xu Chen, Yongfeng Zhang, Wayne Xin Zhao, Ji-Rong Wen |
| 2021 | SIGIR | Counterfactual Reward Modification for Streaming Recommendation with Delayed Feedback. | Xiao Zhang, Haonan Jia, Hanjing Su, Wenhan Wang, Jun Xu, Ji-Rong Wen |
| 2021 | SIGIR | Group based Personalized Search by Integrating Search Behaviour and Friend Network. | Yujia Zhou, Zhicheng Dou, Bingzheng Wei, Ruobing Xie, Ji-Rong Wen |
| 2021 | WACV | Domain-Adaptive Few-Shot Learning. | An Zhao, Mingyu Ding, Zhiwu Lu, Tao Xiang, Yulei Niu, Jiechao Guan, Ji-Rong Wen |
| 2021 | WSDM | Improving Multi-hop Knowledge Base Question Answering by Learning Intermediate Supervision Signals. | Gaole He, Yunshi Lan, Jing Jiang, Wayne Xin Zhao, Ji-Rong Wen |
| 2021 | WSDM | Adapting User Preference to Online Feedback in Multi-round Conversational Recommendation. | Kerui Xu, Jingxuan Yang, Jun Xu, Sheng Gao, Jun Guo, Ji-Rong Wen |
| 2020 | AAAI | Leveraging Multi-Token Entities in Document-Level Named Entity Recognition. | Anwen Hu, Zhicheng Dou, Jian-Yun Nie, Ji-Rong Wen |
| 2020 | CIKM | Learning to Match Jobs with Resumes from Sparse Interaction Data using Multi-View Co-Teaching Network. | Shuqing Bian, Xu Chen, Wayne Xin Zhao, Kun Zhou, Yupeng Hou, Yang Song, Tao Zhang, Ji-Rong Wen |
| 2020 | CIKM | Knowledge-Enhanced Personalized Review Generation with Capsule Graph Neural Network. | Junyi Li, Siqing Li, Wayne Xin Zhao, Gaole He, Zhicheng Wei, Nicholas Jing Yuan, Ji-Rong Wen |
| 2020 | CIKM | PSTIE: Time Information Enhanced Personalized Search. | Zhengyi Ma, Zhicheng Dou, Guanyue Bian, Ji-Rong Wen |
| 2020 | CIKM | Diversifying Search Results using Self-Attention Network. | Xubo Qin, Zhicheng Dou, Ji-Rong Wen |
| 2020 | CIKM | Revisiting Alternative Experimental Settings for Evaluating Top-N Item Recommendation Algorithms. | Wayne Xin Zhao, Junhua Chen, Pengfei Wang, Qi Gu, Ji-Rong Wen |
| 2020 | CIKM | S3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization. | Kun Zhou, Hui Wang, Wayne Xin Zhao, Yutao Zhu, Sirui Wang, Fuzheng Zhang, Zhongyuan Wang, Ji-Rong Wen |
| 2020 | CIKM | Leveraging Historical Interaction Data for Improving Conversational Recommender System. | Kun Zhou, Wayne Xin Zhao, Hui Wang, Sirui Wang, Fuzheng Zhang, Zhongyuan Wang, Ji-Rong Wen |
| 2020 | COLING | Towards Topic-Guided Conversational Recommender System. | Kun Zhou, Yuanhang Zhou, Wayne Xin Zhao, Xiaoke Wang, Ji-Rong Wen |
| 2020 | ECCV | Lightweight Action Recognition in Compressed Videos. | Yuqi Huo, Xiaoli Xu, Yao Lu, Yulei Niu, Mingyu Ding, Zhiwu Lu, Tao Xiang, Ji-Rong Wen |
| 2020 | EMNLP | Transformer-GCRF: Recovering Chinese Dropped Pronouns with General Conditional Random Fields. | Jingxuan Yang, Kerui Xu, Jun Xu, Si Li, Sheng Gao, Jun Guo, Ji-Rong Wen, Nianwen Xue |
| 2020 | EMNLP | Wasserstein Distance Regularized Sequence Representation for Text Matching in Asymmetrical Domains. | Weijie Yu, Chen Xu, Jun Xu, Liang Pang, Xiaopeng Gao, Xiaozhao Wang, Ji-Rong Wen |
| 2020 | KDD | Improving Conversational Recommender Systems via Knowledge Graph based Semantic Fusion. | Kun Zhou, Wayne Xin Zhao, Shuqing Bian, Yuanhang Zhou, Ji-Rong Wen, Jingsong Yu |
| 2020 | PAKDD | Improving Multi-turn Response Selection Models with Complementary Last-Utterance Selection by Instance Weighting. | Kun Zhou, Wayne Xin Zhao, Yutao Zhu, Ji-Rong Wen, Jingsong Yu |
| 2020 | WWW | Mining Implicit Entity Preference from User-Item Interaction Data for Knowledge Graph Completion via Adversarial Learning. | Gaole He, Junyi Li, Wayne Xin Zhao, Peiju Liu, Ji-Rong Wen |
| 2020 | WWW | RLPer: A Reinforcement Learning Model for Personalized Search. | Jing Yao, Zhicheng Dou, Jun Xu, Ji-Rong Wen |
| 2020 | SIGIR | DVGAN: A Minimax Game for Search Result Diversification Combining Explicit and Implicit Features. | Jiongnan Liu, Zhicheng Dou, Xiaojie Wang, Shuqi Lu, Ji-Rong Wen |
| 2020 | SIGIR | Knowledge Enhanced Personalized Search. | Shuqi Lu, Zhicheng Dou, Chenyan Xiong, Xiaojie Wang, Ji-Rong Wen |
| 2020 | SIGIR | Sequential Recommendation with Self-Attentive Multi-Adversarial Network. | Ruiyang Ren, Zhaoyang Liu, Yaliang Li, Wayne Xin Zhao, Hui Wang, Bolin Ding, Ji-Rong Wen |
| 2020 | SIGIR | Reinforcement Learning to Rank with Pairwise Policy Gradient. | Jun Xu, Zeng Wei, Long Xia, Yanyan Lan, Dawei Yin, Xueqi Cheng, Ji-Rong Wen |
| 2020 | SIGIR | Employing Personal Word Embeddings for Personalized Search. | Jing Yao, Zhicheng Dou, Ji-Rong Wen |
| 2020 | SIGIR | Encoding History with Context-aware Representation Learning for Personalized Search. | Yujia Zhou, Zhicheng Dou, Ji-Rong Wen |
| 2020 | SIGMOD | Exact Single-Source SimRank Computation on Large Graphs. | Hanzhi Wang, Zhewei Wei, Ye Yuan, Xiaoyong Du, Ji-Rong Wen |
| 2020 | WSDM | Enhancing Re-finding Behavior with External Memories for Personalized Search. | Yujia Zhou, Zhicheng Dou, Ji-Rong Wen |
| 2019 | ACL | Generating Long and Informative Reviews with Aspect-Aware Coarse-to-Fine Decoding. | Junyi Li, Wayne Xin Zhao, Ji-Rong Wen, Yang Song |
| 2019 | CIKM | News Graph: An Enhanced Knowledge Graph for News Recommendation. | Danyang Liu, Ting Bai, Jianxun Lian, Xin Zhao, Guangzhong Sun, Ji-Rong Wen, Xing Xie |
| 2019 | CVPR | Face-Focused Cross-Stream Network for Deception Detection in Videos. | Mingyu Ding, An Zhao, Zhiwu Lu, Tao Xiang, Ji-Rong Wen |
| 2019 | CVPR | Recursive Visual Attention in Visual Dialog. | Yulei Niu, Hanwang Zhang, Manli Zhang, Jianhong Zhang, Zhiwu Lu, Ji-Rong Wen |
| 2019 | EMNLP | Domain Adaptation for Person-Job Fit with Transferable Deep Global Match Network. | Shuqing Bian, Wayne Xin Zhao, Yang Song, Tao Zhang, Ji-Rong Wen |
| 2019 | EMNLP | A Neural Citation Count Prediction Model based on Peer Review Text. | Siqing Li, Wayne Xin Zhao, Eddy Jing Yin, Ji-Rong Wen |
| 2019 | ICDE | RUM: Network Representation Learning Using Motifs. | Yanlei Yu, Zhiwu Lu, Jiajun Liu, Guoping Zhao, Ji-Rong Wen |
| 2019 | PAKDD | Neural Network Based Popularity Prediction by Linking Online Content with Knowledge Bases. | Wayne Xin Zhao, Hongjian Dou, Yuanpei Zhao, Daxiang Dong, Ji-Rong Wen |
| 2019 | SIGIR | CTRec: A Long-Short Demands Evolution Model for Continuous-Time Recommendation. | Ting Bai, Lixin Zou, Wayne Xin Zhao, Pan Du, Weidong Liu, Jian-Yun Nie, Ji-Rong Wen |
| 2019 | SIGIR | Coarse-to-Fine Grained Classification. | Yuqi Huo, Yao Lu, Yulei Niu, Zhiwu Lu, Ji-Rong Wen |
| 2019 | SIGIR | Name Entity Recognition with Policy-Value Networks. | Yadi Lao, Jun Xu, Sheng Gao, Jun Guo, Ji-Rong Wen |
| 2019 | SIGIR | PSGAN: A Minimax Game for Personalized Search with Limited and Noisy Click Data. | Shuqi Lu, Zhicheng Dou, Jun Xu, Jian-Yun Nie, Ji-Rong Wen |
| 2019 | SIGMOD | PRSim: Sublinear Time SimRank Computation on Large Power-Law Graphs. | Zhewei Wei, Xiaodong He, Xiaokui Xiao, Sibo Wang, Yu Liu, Xiaoyong Du, Ji-Rong Wen |
| 2019 | WSDM | Taxonomy-Aware Multi-Hop Reasoning Networks for Sequential Recommendation. | Jin Huang, Zhaochun Ren, Wayne Xin Zhao, Gaole He, Ji-Rong Wen, Daxiang Dong |
| 2018 | CIKM | Personalizing Search Results Using Hierarchical RNN with Query-aware Attention. | Songwei Ge, Zhicheng Dou, Zhengbao Jiang, Jian-Yun Nie, Ji-Rong Wen |
| 2018 | CIKM | KB4Rec: A Dataset for Linking Knowledge Bases with Recommender Systems. | Wayne Xin Zhao, Gaole He, Hongjian Dou, Jin Huang, Siqi Ouyang, Ji-Rong Wen |
| 2018 | ICDE | Searching Trajectories by Regions of Interest. | Shuo Shang, Lisi Chen, Christian S. Jensen, Ji-Rong Wen, Panos Kalnis |
| 2018 | ICONIP | Zero-Shot Learning with Superclasses. | Yuqi Huo, Mingyu Ding, An Zhao, Jun Hu, Ji-Rong Wen, Zhiwu Lu |
| 2018 | ICPR | Skip-Connected Deep Convolutional Autoencoder for Restoration of Document Images. | Guoping Zhao, Jiajun Liu, Jiacheng Jiang, Hua Guan, Ji-Rong Wen |
| 2018 | IJCNN | Improving Person Re-identification by Body Parts Segmentation Generated by GAN. | Guoping Zhao, Jiacheng Jiang, Jiajun Liu, Yanlei Yu, Ji-Rong Wen |
| 2018 | SIGIR | An Attribute-aware Neural Attentive Model for Next Basket Recommendation. | Ting Bai, Jian-Yun Nie, Wayne Xin Zhao, Yutao Zhu, Pan Du, Ji-Rong Wen |
| 2018 | SIGIR | Improving Sequential Recommendation with Knowledge-Enhanced Memory Networks. | Jin Huang, Wayne Xin Zhao, Hongjian Dou, Ji-Rong Wen, Edward Y. Chang |
| 2018 | SIGMOD | TopPPR: Top-k Personalized PageRank Queries with Precision Guarantees on Large Graphs. | Zhewei Wei, Xiaodong He, Xiaokui Xiao, Sibo Wang, Shuo Shang, Ji-Rong Wen |
| 2017 | AAAI | FeaBoost: Joint Feature and Label Refinement for Semantic Segmentation. | Yulei Niu, Zhiwu Lu, Songfang Huang, Xin Gao, Ji-Rong Wen |
| 2017 | AAAI | Efficiently Answering Technical Questions - A Knowledge Graph Approach. | Shuo Yang, Lei Zou, Zhongyuan Wang, Jun Yan, Ji-Rong Wen |
| 2017 | CIKM | A Neural Collaborative Filtering Model with Interaction-based Neighborhood. | Ting Bai, Ji-Rong Wen, Jun Zhang, Wayne Xin Zhao |
| 2017 | ICDE | Collective Travel Planning in Spatial Networks. | Shuo Shang, Lisi Chen, Zhewei Wei, Christian S. Jensen, Ji-Rong Wen, Panos Kalnis |
| 2017 | IJCNN | Graph-boosted convolutional neural networks for semantic segmentation. | Guangzhen Liu, Peng Han, Yulei Niu, Wenwu Yuan, Zhiwu Lu, Ji-Rong Wen |
| 2017 | SIGIR | Learning to Diversify Search Results via Subtopic Attention. | Zhengbao Jiang, Ji-Rong Wen, Zhicheng Dou, Wayne Xin Zhao, Jian-Yun Nie, Ming Yue |
| 2017 | SIGIR | Entity Set Expansion via Knowledge Graphs. | Xiangling Zhang, Yueguo Chen, Jun Chen, Xiaoyong Du, Ke Wang, Ji-Rong Wen |
| 2016 | APWEB | Probabilistic Nearest Neighbor Query in Traffic-Aware Spatial Networks. | Shuo Shang, Zhewei Wei, Ji-Rong Wen, Shunzhi Zhu |