| 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 | LLM-UP: SIGIR 2026 Workshop on LLM-powered User Profiling for Search and Recommendation. | Hongzhi Yin, Wei Yuan, Yi Zhang, Joel Mackenzie, Quoc Viet Hung Nguyen, Wayne Xin Zhao, Yong Li, Lina Yao |
| 2026 | SIGIR | Universal Item Tokenization for Transferable Generative Recommendation. | Bowen Zheng, Hongyu Lu, Yu Chen, Wayne Xin Zhao, 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 | 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 | STARec: An Efficient Agent Framework for Recommender Systems via Autonomous Deliberate Reasoning. | Chenghao Wu, Ruiyang Ren, Junjie Zhang, Ruirui Wang, Zhongrui Ma, Qi Ye, Wayne Xin Zhao |
| 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 | 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 | 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 | 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 | CAFE: Retrieval Head-based Coarse-to-Fine Information Seeking to Enhance Multi-Document QA Capability. | Han Peng, Jinhao Jiang, Zican Dong, Wayne Xin Zhao, Lei Fang |
| 2025 | EMNLP | Enhancing Chain-of-Thought Reasoning via Neuron Activation Differential Analysis. | Yiru Tang, Kun Zhou, Yingqian Min, Wayne Xin Zhao, Jing Sha, Zhichao Sheng, Shijin Wang |
| 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 | KDD | Bridging Textual-Collaborative Gap through Semantic Codes for Sequential Recommendation. | Enze Liu, Bowen Zheng, Wayne Xin Zhao, Ji-Rong Wen |
| 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 | 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 | 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 | The 3rd Workshop on Personal Intelligence with Generative AI. | Yang Zhang, Wenjie Wang, Xinyu Lin, Fuli Feng, Hongzhi Yin, Wayne Xin Zhao, Lina Yao, Yang Song, Xiangnan He |
| 2025 | WWW | Frequency-Augmented Mixture-of-Heterogeneous-Experts Framework for Sequential Recommendation. | Junjie Zhang, Ruobing Xie, Hongyu Lu, Wenqi Sun, Wayne Xin Zhao, Yu Chen, Zhanhui Kang |
| 2025 | SIGIR | Generative Recommender with End-to-End Learnable Item Tokenization. | Enze Liu, Bowen Zheng, Cheng Ling, Lantao Hu, Han Li, Wayne Xin Zhao |
| 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 | Unveiling Knowledge Utilization Mechanisms in LLM-based Retrieval-Augmented Generation. | Yuhao Wang, Ruiyang Ren, Yucheng Wang, Wayne Xin Zhao, Jing Liu, Hua Wu, Haifeng Wang |
| 2025 | SIGIR | MGIPF: Multi-Granularity Interest Prediction Framework for Personalized Recommendation. | Ruoxuan Feng, Zhen Tian, Qiushi Peng, Jiaxin Mao, Wayne Xin Zhao, Di Hu, Changwang Zhang |
| 2025 | SIGIR | LLM-based Search Assistant with Holistically Guided MCTS for Intricate Information Seeking. | Ruiyang Ren, Yuhao Wang, Junyi Li, Jinhao Jiang, Wayne Xin Zhao, Wenjie Wang, Tat-Seng Chua |
| 2024 | CIKM | Sequence-level Semantic Representation Fusion for Recommender Systems. | Lanling Xu, Zhen Tian, Bingqian Li, Junjie Zhang, Daoyuan Wang, Hongyu Wang, Jinpeng Wang, Sheng Chen, Wayne Xin Zhao |
| 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 | 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 | ECIR | Large Language Models are Zero-Shot Rankers for Recommender Systems. | Yupeng Hou, Junjie Zhang, Zihan Lin, Hongyu Lu, Ruobing Xie, Julian J. McAuley, Wayne Xin Zhao |
| 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 | KDD | Rotative Factorization Machines. | Zhen Tian, Yuhong Shi, Xiangkun Wu, Wayne Xin Zhao, Ji-Rong Wen |
| 2024 | KDD | Revisiting Reciprocal Recommender Systems: Metrics, Formulation, and Method. | Chen Yang, Sunhao Dai, Yupeng Hou, Wayne Xin Zhao, Jun Xu, Yang Song, Hengshu Zhu |
| 2024 | NAACL | Not All Metrics Are Guilty: Improving NLG Evaluation by Diversifying References. | Tianyi Tang, Hongyuan Lu, Yuchen Jiang, Haoyang Huang, Dongdong Zhang, Wayne Xin Zhao, Tom Kocmi, Furu Wei |
| 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 | The 2nd Workshop on Recommendation with Generative Models. | Wenjie Wang, Yang Zhang, Xinyu Lin, Fuli Feng, Weiwen Liu, Yong Liu, Xiangyu Zhao, Wayne Xin Zhao, Yang Song, Xiangnan He |
| 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 | An Integrated Data Processing Framework for Pretraining Foundation Models. | Yiding Sun, Feng Wang, Yutao Zhu, Wayne Xin Zhao, Jiaxin Mao |
| 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 |
| 2023 | AAAI | PDFormer: Propagation Delay-Aware Dynamic Long-Range Transformer for Traffic Flow Prediction. | Jiawei Jiang, Chengkai Han, Wayne Xin Zhao, Jingyuan Wang |
| 2023 | AAAI | Continuous Trajectory Generation Based on Two-Stage GAN. | Wenjun Jiang, Wayne Xin Zhao, Jingyuan Wang, Jiawei Jiang |
| 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 | 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 | Hybrid Contrastive Constraints for Multi-Scenario Ad Ranking. | Shanlei Mu, Penghui Wei, Wayne Xin Zhao, Shaoguo Liu, Liang Wang, Bo Zheng |
| 2023 | CIKM | Periodicity May Be Emanative: Hierarchical Contrastive Learning for Sequential Recommendation. | Changxin Tian, Binbin Hu, Wayne Xin Zhao, Zhiqiang Zhang, Jun Zhou |
| 2023 | DASFAA | Towards Efficient and Effective Transformers for Sequential Recommendation. | Wenqi Sun, Zheng Liu, Xinyan Fan, Ji-Rong Wen, Wayne Xin Zhao |
| 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 | Evaluating Object Hallucination in Large Vision-Language Models. | Yifan Li, Yifan Du, Kun Zhou, Jinpeng Wang, Wayne 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 | 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 | 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 | Reciprocal Sequential Recommendation. | Bowen Zheng, Yupeng Hou, Wayne Xin Zhao, Yang Song, Hengshu Zhu |
| 2023 | WWW | Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders. | Yupeng Hou, Zhankui He, Julian J. McAuley, Wayne Xin Zhao |
| 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 |
| 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 | 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 | Multimodal Meta-Learning for Cold-Start Sequential Recommendation. | Xingyu Pan, Yushuo Chen, Changxin Tian, Zihan Lin, Jinpeng Wang, He Hu, Wayne Xin Zhao |
| 2022 | CIKM | RSD: A Reinforced Siamese Network with Domain Knowledge for Early Diagnosis. | Houxing Ren, Jingyuan Wang, Wayne Xin Zhao |
| 2022 | CIKM | Temporal Contrastive Pre-Training for Sequential Recommendation. | Changxin Tian, Zihan Lin, Shuqing Bian, Jinpeng Wang, Wayne Xin Zhao |
| 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 | 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 | 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 | IJCAI | A Survey of Vision-Language Pre-Trained Models. | Yifan Du, Zikang Liu, Junyi Li, Wayne Xin Zhao |
| 2022 | IJCNN | Complex Question Answering over Incomplete Knowledge Graph as N-ary Link Prediction. | Daoguang Zan, Sirui Wang, Hongzhi Zhang, Kun Zhou, Wei Wu, Wayne Xin Zhao, Bingchao Wu, Bei Guan, Yongji Wang |
| 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 | Generative Adversarial Networks Enhanced Pre-training for Insufficient Electronic Health Records Modeling. | Houxing Ren, Jingyuan Wang, Wayne Xin Zhao |
| 2022 | KDD | Towards Unified Conversational Recommender Systems via Knowledge-Enhanced Prompt Learning. | Xiaolei Wang, Kun Zhou, Ji-Rong Wen, Wayne Xin Zhao |
| 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 | 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 | Improving Graph Collaborative Filtering with Neighborhood-enriched Contrastive Learning. | Zihan Lin, Changxin Tian, Yupeng Hou, Wayne Xin Zhao |
| 2022 | WWW | Filter-enhanced MLP is All You Need for Sequential Recommendation. | Kun Zhou, Hui Yu, Wayne Xin Zhao, Ji-Rong Wen |
| 2022 | SIGIR | Ada-Ranker: A Data Distribution Adaptive Ranking Paradigm for Sequential Recommendation. | Xinyan Fan, Jianxun Lian, Wayne Xin Zhao, Zheng Liu, Chaozhuo Li, Xing Xie |
| 2022 | SIGIR | CORE: Simple and Effective Session-based Recommendation within Consistent Representation Space. | Yupeng Hou, Binbin Hu, Zhiqiang Zhang, Wayne Xin Zhao |
| 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 | Learning to Denoise Unreliable Interactions for Graph Collaborative Filtering. | Changxin Tian, Yuexiang Xie, Yaliang Li, Nan Yang, Wayne Xin Zhao |
| 2022 | WSDM | C²-CRS: Coarse-to-Fine Contrastive Learning for Conversational Recommender System. | Yuanhang Zhou, Kun Zhou, Wayne Xin Zhao, Cheng Wang, Peng Jiang, He Hu |
| 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 | Dual Sparse Attention Network For Session-based Recommendation. | Jiahao Yuan, Zihan Song, Mingyou Sun, Xiaoling Wang, Wayne Xin Zhao |
| 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 | 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 | Counterfactual Review-based Recommendation. | Kun Xiong, Wenwen Ye, Xu Chen, Yongfeng Zhang, Wayne Xin Zhao, Binbin Hu, Zhiqiang Zhang, Jun Zhou |
| 2021 | CIKM | Causally Attentive Collaborative Filtering. | Jingsen Zhang, Xu Chen, Wayne Xin Zhao |
| 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 | EMNLP | A Pretraining Numerical Reasoning Model for Ordinal Constrained Question Answering on Knowledge Base. | Yu Feng, Jing Zhang, Gaole He, Wayne Xin Zhao, Lemao Liu, Quan Liu, Cuiping Li, Hong Chen |
| 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 | RAPT: Pre-training of Time-Aware Transformer for Learning Robust Healthcare Representation. | Houxing Ren, Jingyuan Wang, Wayne Xin Zhao, Ning Wu |
| 2021 | KDD | Learning Reliable User Representations from Volatile and Sparse Data to Accurately Predict Customer Lifetime Value. | Mingzhe Xing, Shuqing Bian, Wayne Xin Zhao, Zhen Xiao, Xingji Luo, Cunxiang Yin, Jing Cai, Yancheng He |
| 2021 | KDD | Data Poisoning Attack against Recommender System Using Incomplete and Perturbed Data. | Hengtong Zhang, Changxin Tian, Yaliang Li, Lu Su, Nan Yang, Wayne Xin Zhao, Jing Gao |
| 2021 | NAACL | RocketQA: An Optimized Training Approach to Dense Passage Retrieval for Open-Domain Question Answering. | Yingqi Qu, Yuchen Ding, Jing Liu, Kai Liu, Ruiyang Ren, Wayne Xin Zhao, Daxiang Dong, Hua Wu, Haifeng Wang |
| 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 | 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 | Counterfactual Data-Augmented Sequential Recommendation. | Zhenlei Wang, Jingsen Zhang, Hongteng Xu, Xu Chen, Yongfeng Zhang, Wayne Xin Zhao, 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 |
| 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 | 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 | KDD | Learning Effective Road Network Representation with Hierarchical Graph Neural Networks. | Ning Wu, Wayne Xin Zhao, Jingyuan Wang, Dayan Pan |
| 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 | 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 | KERL: A Knowledge-Guided Reinforcement Learning Model for Sequential Recommendation. | Pengfei Wang, Yu Fan, Long Xia, Wayne Xin Zhao, Shaozhang Niu, Jimmy X. Huang |
| 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 | Learning to Effectively Estimate the Travel Time for Fastest Route Recommendation. | Ning Wu, Jingyuan Wang, Wayne Xin Zhao, Yang Jin |
| 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 | KDD | Empowering A* Search Algorithms with Neural Networks for Personalized Route Recommendation. | Jingyuan Wang, Ning Wu, Wayne Xin Zhao, Fanzhang Peng, Xin Lin |
| 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 | Supervised Hierarchical Cross-Modal Hashing. | Changchang Sun, Xuemeng Song, Fuli Feng, Wayne Xin Zhao, Hao Zhang, Liqiang Nie |
| 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 | ACL | hyperdoc2vec: Distributed Representations of Hypertext Documents. | Jialong Han, Yan Song, Wayne Xin Zhao, Shuming Shi, Haisong Zhang |
| 2018 | ACL | Multi-Turn Response Selection for Chatbots with Deep Attention Matching Network. | Xiangyang Zhou, Lu Li, Daxiang Dong, Yi Liu, Ying Chen, Wayne Xin Zhao, Dianhai Yu, Hua Wu |
| 2018 | CIKM | Local and Global Information Fusion for Top-N Recommendation in Heterogeneous Information Network. | Binbin Hu, Chuan Shi, Wayne Xin Zhao, Tianchi Yang |
| 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 | Linking Fine-Grained Locations in User Comments (Extended Abstract). | Jialong Han, Aixin Sun, Gao Cong, Wayne Xin Zhao, Zongcheng Ji, Minh C. Phan |
| 2018 | KDD | Leveraging Meta-path based Context for Top- N Recommendation with A Neural Co-Attention Model. | Binbin Hu, Chuan Shi, Wayne Xin Zhao, Philip S. Yu |
| 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 |
| 2017 | CIKM | A Neural Collaborative Filtering Model with Interaction-based Neighborhood. | Ting Bai, Ji-Rong Wen, Jun Zhang, Wayne Xin Zhao |
| 2017 | IJCAI | A Correlated Topic Model Using Word Embeddings. | Guangxu Xun, Yaliang Li, Wayne Xin Zhao, Jing Gao, Aidong Zhang |
| 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 |
| 2016 | AAAI | Tweet Timeline Generation with Determinantal Point Processes. | Jin-ge Yao, Feifan Fan, Wayne Xin Zhao, Xiaojun Wan, Edward Y. Chang, Jianguo Xiao |
| 2016 | IJCAI | Bayesian Probabilistic Multi-Topic Matrix Factorization for Rating Prediction. | Keqiang Wang, Wayne Xin Zhao, Hongwei Peng, Xiaoling Wang |
| 2015 | AAAI | Mining User Intents in Twitter: A Semi-Supervised Approach to Inferring Intent Categories for Tweets. | Jinpeng Wang, Gao Cong, Wayne Xin Zhao, Xiaoming Li |
| 2015 | ICWSM | Leveraging Product Adopter Information from Online Reviews for Product Recommendation. | Jinpeng Wang, Wayne Xin Zhao, Yulan He, Xiaoming Li |
| 2014 | COLING | Knowledge Sharing via Social Login: Exploiting Microblogging Service for Warming up Social Question Answering Websites. | Yang Xiao, Wayne Xin Zhao, Kun Wang, Zhen Xiao |
| 2014 | KDD | We know what you want to buy: a demographic-based system for product recommendation on microblogs. | Wayne Xin Zhao, Yanwei Guo, Yulan He, Han Jiang, Yuexin Wu, Xiaoming Li |
| 2013 | CIKM | Originator or propagator?: incorporating social role theory into topic models for twitter content analysis. | Wayne Xin Zhao, Jinpeng Wang, Yulan He, Jian-Yun Nie, Xiaoming Li |
| 2013 | EMNLP | Mining New Business Opportunities: Identifying Trend related Products by Leveraging Commercial Intents from Microblogs. | Jinpeng Wang, Wayne Xin Zhao, Haitian Wei, Hongfei Yan, Xiaoming Li |
| 2013 | SIGIR | Timeline generation with social attention. | Wayne Xin Zhao, Yanwei Guo, Rui Yan, Yulan He, Xiaoming Li |
| 2012 | CIKM | Visualizing timelines: evolutionary summarization via iterative reinforcement between text and image streams. | Rui Yan, Xiaojun Wan, Mirella Lapata, Wayne Xin Zhao, Pu-Jen Cheng, Xiaoming Li |
| 2012 | EMNLP | Joint Learning for Coreference Resolution with Markov Logic. | Yang Song, Jing Jiang, Wayne Xin Zhao, Sujian Li, Houfeng Wang |
| 2012 | KDD | EventSearch: a system for event discovery and retrieval on multi-type historical data. | Dongdong Shan, Wayne Xin Zhao, Rishan Chen, Baihan Shu, Ziqi Wang, Junjie Yao, Hongfei Yan, Xiaoming Li |
| 2012 | SPIRE | Position-Aligned Translation Model for Citation Recommendation. | Jing He, Jian-Yun Nie, Yang Lu, Wayne Xin Zhao |
| 2011 | ACL | Topical Keyphrase Extraction from Twitter. | Wayne Xin Zhao, Jing Jiang, Jing He, Yang Song, Palakorn Achananuparp, Ee-Peng Lim, Xiaoming Li |
| 2011 | CIKM | Efficient phrase querying with flat position index. | Dongdong Shan, Wayne Xin Zhao, Jing He, Rui Yan, Hongfei Yan, Xiaoming Li |
| 2011 | ECIR | Comparing Twitter and Traditional Media Using Topic Models. | Wayne Xin Zhao, Jing Jiang, Jianshu Weng, Jing He, Ee-Peng Lim, Hongfei Yan, Xiaoming Li |
| 2011 | SIGIR | Efficiently collecting relevance information from clickthroughs for web retrieval system evaluation. | Jing He, Wayne Xin Zhao, Baihan Shu, Xiaoming Li, Hongfei Yan |
| 2010 | CIKM | Context modeling for ranking and tagging bursty features in text streams. | Wayne Xin Zhao, Jing Jiang, Jing He, Dongdong Shan, Hongfei Yan, Xiaoming Li |
| 2010 | EMNLP | Jointly Modeling Aspects and Opinions with a MaxEnt-LDA Hybrid. | Wayne Xin Zhao, Jing Jiang, Hongfei Yan, Xiaoming Li |