Does William Shakespeare REALLY Write Hamlet? Knowledge Representation Learning With Confidence. - Ruobing Xie; Zhiyuan Liu 001; Fen Lin; Leyu Lin (AAAI, 2018)

Incorporating Chinese Characters of Words for Lexical Sememe Prediction. - Huiming Jin; Hao Zhu 006; Zhiyuan Liu 001; Ruobing Xie; Maosong Sun 001; Fen Lin; Leyu Lin (ACL (1), 2018)

Language Modeling with Sparse Product of Sememe Experts. - Yihong Gu; Jun Yan 012; Hao Zhu 006; Zhiyuan Liu 001; Ruobing Xie; Maosong Sun 001; Fen Lin; Leyu Lin (EMNLP, 2018)

Hierarchical Neural Network for Extracting Knowledgeable Snippets and Documents. - Ganbin Zhou; Rongyu Cao; Xiang Ao 001; Ping Luo 001; Fen Lin; Leyu Lin; Qing He 003 (CoRR, 2018)

Open Relation Extraction: Relational Knowledge Transfer from Supervised Data to Unsupervised Data. - Ruidong Wu; Yuan Yao 013; Xu Han 007; Ruobing Xie; Zhiyuan Liu 001; Fen Lin; Leyu Lin; Maosong Sun 001 (EMNLP/IJCNLP (1), 2019)

Real-time Attention Based Look-alike Model for Recommender System. - Yudan Liu; Kaikai Ge; Xu Zhang 028; Leyu Lin (KDD, 2019)

Effects of User Negative Experience in Mobile News Streaming. - Hongyu Lu; Min Zhang 006; Weizhi Ma; Ce Wang; Feng Xia 006; Yiqun Liu 001; Leyu Lin; Shaoping Ma (SIGIR, 2019)

Atom Responding Machine for Dialog Generation. - Ganbin Zhou; Ping Luo 001; Jingwu Chen; Fen Lin; Leyu Lin; Qing He 003 (CoRR, 2019)

A Unified Framework for Community Detection and Network Representation Learning. - Cunchao Tu; Xiangkai Zeng; Hao Wang 214; Zhengyan Zhang; Zhiyuan Liu 001; Maosong Sun 001; Bo Zhang 056; Leyu Lin (IEEE Trans. Knowl. Data Eng., 2019)

Search Result Reranking with Visual and Structure Information Sources. - Yiqun Liu 001; Junqi Zhang; Jiaxin Mao; Min Zhang 006; Shaoping Ma; Qi Tian 001; Yanxiong Lu; Leyu Lin (ACM Trans. Inf. Syst., 2019)

Neural Snowball for Few-Shot Relation Learning. - Tianyu Gao 001; Xu Han 007; Ruobing Xie; Zhiyuan Liu 001; Fen Lin; Leyu Lin; Maosong Sun 001 (AAAI, 2020)

Graph Neural Network for Tag Ranking in Tag-enhanced Video Recommendation. - Qi Liu 050; Ruobing Xie; Lei Chen; Shukai Liu; Ke Tu; Peng Cui 001; Bo Zhang 056; Leyu Lin (CIKM, 2020)

Learning to Build User-tag Profile in Recommendation System. - Su Yan 004; Xin Chen 091; Ran Huo; Xu Zhang 028; Leyu Lin (CIKM, 2020)

Meta-Information Guided Meta-Learning for Few-Shot Relation Classification. - Bowen Dong; Yuan Yao 013; Ruobing Xie; Tianyu Gao 001; Xu Han 007; Zhiyuan Liu 001; Fen Lin; Leyu Lin; Maosong Sun 001 (COLING, 2020)

Capturing Attraction Distribution: Sequential Attentive Network for Dwell Time Prediction. - Tianxin Wang; Jingwu Chen; Fuzhen Zhuang; Leyu Lin; Feng Xia 006; Lihuan Du; Qing He 003 (ECAI, 2020)

Denoising Relation Extraction from Document-level Distant Supervision. - Chaojun Xiao; Yuan Yao 013; Ruobing Xie; Xu Han 007; Zhiyuan Liu 001; Maosong Sun 001; Fen Lin; Leyu Lin (EMNLP (1), 2020)

Towards Fast Adaptation of Neural Architectures with Meta Learning. - Dongze Lian; Yin Zheng; Yintao Xu; Yanxiong Lu; Leyu Lin; Peilin Zhao; Junzhou Huang; Shenghua Gao (ICLR, 2020)

Deep Feedback Network for Recommendation. - Ruobing Xie; Cheng Ling; Yalong Wang; Rui Wang 068; Feng Xia 006; Leyu Lin (IJCAI, 2020)

Internal and Contextual Attention Network for Cold-start Multi-channel Matching in Recommendation. - Ruobing Xie; Zhijie Qiu; Jun Rao; Yi Liu; Bo Zhang 056; Leyu Lin (IJCAI, 2020)

Curriculum Learning for Wide Multimedia-Based Transformer with Graph Target Detection. - Weilong Chen; Feng Hong 005; Chenghao Huang; Shaoliang Zhang; Rui Wang 068; Ruobing Xie; Feng Xia 006; Leyu Lin; Yanru Zhang; Yan Wang 083 (ACM Multimedia, 2020)

FAQ-Based Question Answering via Knowledge Anchors. - Ruobing Xie; Yanan Lu; Fen Lin; Leyu Lin (NLPCC (1), 2020)

Social Influence Attentive Neural Network for Friend-Enhanced Recommendation. - Yuanfu Lu; Ruobing Xie; Chuan Shi 001; Yuan Fang 001; Wei Wang; Xu Zhang 028; Leyu Lin (ECML/PKDD (4), 2020)

Exploring Clustering of Bandits for Online Recommendation System. - Liu Yang 008; Bo Liu 015; Leyu Lin; Feng Xia 006; Kai Chen 005; Qiang Yang 001 (RecSys, 2020)

Group-Aware Long- and Short-Term Graph Representation Learning for Sequential Group Recommendation. - Wen Wang 016; Wei Zhang 056; Jun Rao; Zhijie Qiu; Bo Zhang 056; Leyu Lin; Hongyuan Zha (SIGIR, 2020)

Beyond Clicks: Modeling Multi-Relational Item Graph for Session-Based Target Behavior Prediction. - Wen Wang 016; Wei Zhang 056; Shukai Liu; Qi Liu 050; Bo Zhang 056; Leyu Lin; Hongyuan Zha (WWW, 2020)

Hierarchical Reinforcement Learning for Integrated Recommendation. - Ruobing Xie; Shaoliang Zhang; Rui Wang 068; Feng Xia 006; Leyu Lin (AAAI, 2021)

Influence Maximization in Multi-Relational Social Networks. - Wei Wang; Haili Yang; Yuanfu Lu; Yuanhang Zou; Xu Zhang 028; Shuting Guo; Leyu Lin (CIKM, 2021)

Explore, Filter and Distill: Distilled Reinforcement Learning in Recommendation. - Ruobing Xie; Shaoliang Zhang; Rui Wang 068; Feng Xia 006; Leyu Lin (CIKM, 2021)

Adversarial Feature Translation for Multi-domain Recommendation. - Xiaobo Hao; Yudan Liu; Ruobing Xie; Kaikai Ge; Linyao Tang; Xu Zhang 028; Leyu Lin (KDD, 2021)

Learning to Expand Audience via Meta Hybrid Experts and Critics for Recommendation and Advertising. - Yongchun Zhu; Yudan Liu; Ruobing Xie; Fuzhen Zhuang; Xiaobo Hao; Kaikai Ge; Xu Zhang 028; Leyu Lin; Juan Cao 001 (KDD, 2021)

Open Hierarchical Relation Extraction. - Kai Zhang 033; Yuan Yao 013; Ruobing Xie; Xu Han 007; Zhiyuan Liu 001; Fen Lin; Leyu Lin; Maosong Sun 001 (NAACL-HLT, 2021)

MMNet: Multi-granularity Multi-mode Network for Item-Level Share Rate Prediction. - Haomin Yu; Mingfei Liang; Ruobing Xie; Zhenlong Sun; Bo Zhang 056; Leyu Lin (ECML/PKDD (5), 2021)

Package Recommendation with Intra- and Inter-Package Attention Networks. - Chen Li; Yuanfu Lu; Wei Wang; Chuan Shi 001; Ruobing Xie; Haili Yang; Cheng Yang 002; Xu Zhang 028; Leyu Lin (SIGIR, 2021)

Transfer-Meta Framework for Cross-domain Recommendation to Cold-Start Users. - Yongchun Zhu; Kaikai Ge; Fuzhen Zhuang; Ruobing Xie; Dongbo Xi; Xu Zhang 028; Leyu Lin; Qing He 003 (SIGIR, 2021)

Learning to Warm Up Cold Item Embeddings for Cold-start Recommendation with Meta Scaling and Shifting Networks. - Yongchun Zhu; Ruobing Xie; Fuzhen Zhuang; Kaikai Ge; Ying Sun 006; Xu Zhang 028; Leyu Lin; Juan Cao 001 (SIGIR, 2021)

Real-time Relevant Recommendation Suggestion. - Ruobing Xie; Rui Wang 068; Shaoliang Zhang; Zhihong Yang; Feng Xia 006; Leyu Lin (WSDM, 2021)

Personalized Approximate Pareto-Efficient Recommendation. - Ruobing Xie; Yanlei Liu; Shaoliang Zhang; Rui Wang 068; Feng Xia 006; Leyu Lin (WWW, 2021)

UPRec: User-Aware Pre-training for Recommender Systems. - Chaojun Xiao; Ruobing Xie; Yuan Yao 013; Zhiyuan Liu 001; Maosong Sun 001; Xu Zhang 028; Leyu Lin (CoRR, 2021)

C2-Rec: An Effective Consistency Constraint for Sequential Recommendation. - Chong Liu; Xiaoyang Liu; Rongqin Zheng; Lixin Zhang; Xiaobo Liang; Juntao Li; Lijun Wu 003; Min Zhang 005; Leyu Lin (CoRR, 2021)

Knowledge Transfer via Pre-training for Recommendation: A Review and Prospect. - Zheni Zeng; Chaojun Xiao; Yuan Yao 013; Ruobing Xie; Zhiyuan Liu 001; Fen Lin; Leyu Lin; Maosong Sun 001 (Frontiers Big Data, 2021)

Follow the Title Then Read the Article: Click-Guide Network for Dwell Time Prediction. - Jingwu Chen; Fuzhen Zhuang; Tianxin Wang; Leyu Lin; Feng Xia 006; Lihuan Du; Qing He 003 (IEEE Trans. Knowl. Data Eng., 2021)

Prompt Tuning for Discriminative Pre-trained Language Models. - Yuan Yao 013; Bowen Dong; Ao Zhang; Zhengyan Zhang; Ruobing Xie; Zhiyuan Liu 001; Leyu Lin; Maosong Sun 001; Jianyong Wang 001 (ACL (Findings), 2022)

A Novel Weight Adaptive Multi Factor Authorization Technology. - Ruiqi Zeng; Leyu Lin; Yue Zhao (ADHIP (2), 2022)

Multi-granularity Fatigue in Recommendation. - Ruobing Xie; Cheng Ling; Shaoliang Zhang; Feng Xia 006; Leyu Lin (CIKM, 2022)

Multi-view Multi-behavior Contrastive Learning in Recommendation. - Yiqing Wu; Ruobing Xie; Yongchun Zhu; Xiang Ao 001; Xin Chen 091; Xu Zhang 028; Fuzhen Zhuang; Leyu Lin; Qing He 003 (DASFAA (2), 2022)

Contrastive Cross-domain Recommendation in Matching. - Ruobing Xie; Qi Liu 050; Liangdong Wang; Shukai Liu; Bo Zhang 056; Leyu Lin (KDD, 2022)

A Privacy-Preserving Gait Recognition Scheme Under Homomorphic Encryption. - Leyu Lin; Bo Tian; Yue Zhao; Yiru Niu (NaNA, 2022)

Selective Fairness in Recommendation via Prompts. - Yiqing Wu; Ruobing Xie; Yongchun Zhu; Fuzhen Zhuang; Xiang Ao 001; Xu Zhang 028; Leyu Lin; Qing He 003 (SIGIR, 2022)

Long Short-Term Temporal Meta-learning in Online Recommendation. - Ruobing Xie; Yalong Wang; Rui Wang 068; Yuanfu Lu; Yuanhang Zou; Feng Xia 006; Leyu Lin (WSDM, 2022)

A Peep into the Future: Adversarial Future Encoding in Recommendation. - Ruobing Xie; Shaoliang Zhang; Rui Wang 068; Feng Xia 006; Leyu Lin (WSDM, 2022)

Personalized Transfer of User Preferences for Cross-domain Recommendation. - Yongchun Zhu; Zhenwei Tang; Yudan Liu; Fuzhen Zhuang; Ruobing Xie; Xu Zhang 028; Leyu Lin; Qing He 003 (WSDM, 2022)

Personalized Prompts for Sequential Recommendation. - Yiqing Wu; Ruobing Xie; Yongchun Zhu; Fuzhen Zhuang; Xu Zhang 028; Leyu Lin; Qing He 003 (CoRR, 2022)

Improve Transformer Pre-Training with Decoupled Directional Relative Position Encoding and Representation Differentiations. - Haojie Zhang; Mingfei Liang; Ruobing Xie; Zhenlong Sun; Bo Zhang 056; Leyu Lin (CoRR, 2022)

Adaptively sharing multi-levels of distributed representations in multi-task learning. - Tianxin Wang; Fuzhen Zhuang; Ying Sun 006; Xiangliang Zhang 001; Leyu Lin; Feng Xia 006; Lei He; Qing He 003 (Inf. Sci., 2022)

SQRT: A Secure Querying Scheme of Routing Table Based on Oblivious Transfer. - Yue Zhao; Bo Tian; Ning Hu; Qi Zhao; Yiru Niu; Leyu Lin; Yarang Yang (Symmetry, 2022)

Improving Accuracy and Diversity in Matching of Recommendation With Diversified Preference Network. - Ruobing Xie; Qi Liu 050; Shukai Liu; Ziwei Zhang 001; Peng Cui 001; Bo Zhang 056; Leyu Lin (IEEE Trans. Big Data, 2022)

Understanding WeChat User Preferences and "Wow" Diffusion. - Fanjin Zhang; Jie Tang 001; Xueyi Liu; Zhenyu Hou; Yuxiao Dong; Jing Zhang 001; Xiao Liu 036; Ruobing Xie; Kai Zhuang; Xu Zhang 028; Leyu Lin; Philip S. Yu (IEEE Trans. Knowl. Data Eng., 2022)

COSINE: Compressive Network Embedding on Large-Scale Information Networks. - Zhengyan Zhang; Cheng Yang 002; Zhiyuan Liu 001; Maosong Sun 001; Zhichong Fang; Bo Zhang 056; Leyu Lin (IEEE Trans. Knowl. Data Eng., 2022)

Graph Exploration Matters: Improving both Individual-Level and System-Level Diversity in WeChat Feed Recommendation. - Shuai Yang; Lixin Zhang; Feng Xia 006; Leyu Lin (CIKM, 2023)

Multi-granularity Item-Based Contrastive Recommendation. - Ruobing Xie; Zhijie Qiu; Bo Zhang 056; Leyu Lin (DASFAA (2), 2023)

Better Pre-Training by Reducing Representation Confusion. - Haojie Zhang; Mingfei Liang; Ruobing Xie; Zhenlong Sun; Bo Zhang 056; Leyu Lin (EACL (Findings), 2023)

CT4Rec: Simple yet Effective Consistency Training for Sequential Recommendation. - Chong Liu; Xiaoyang Liu; Rongqin Zheng; Lixin Zhang; Xiaobo Liang; Juntao Li; Lijun Wu 003; Min Zhang 005; Leyu Lin (KDD, 2023)

Future Augmentation with Self-distillation in Recommendation. - Chong Liu; Ruobing Xie; Xiaoyang Liu; Pinzheng Wang; Rongqin Zheng; Lixin Zhang; Juntao Li; Feng Xia 006; Leyu Lin (ECML/PKDD (6), 2023)

Interpretable User Retention Modeling in Recommendation. - Rui Ding 003; Ruobing Xie; Xiaobo Hao; Xiaochun Yang 001; Kaikai Ge; Xu Zhang 028; Jie Zhou 016; Leyu Lin (RecSys, 2023)

Exploring False Hard Negative Sample in Cross-Domain Recommendation. - Haokai Ma; Ruobing Xie; Lei Meng 001; Xin Chen 091; Xu Zhang 028; Leyu Lin; Jie Zhou 016 (RecSys, 2023)

Generative Next-Basket Recommendation. - Wenqi Sun; Ruobing Xie; Junjie Zhang 009; Wayne Xin Zhao; Leyu Lin; Ji-Rong Wen (RecSys, 2023)

UFNRec: Utilizing False Negative Samples for Sequential Recommendation. - Xiaoyang Liu; Chong Liu; Pinzheng Wang; Rongqin Zheng; Lixin Zhang; Leyu Lin; Zhijun Chen; Liangliang Fu (SDM, 2023)

Reweighting Clicks with Dwell Time in Recommendation. - Ruobing Xie; Lin Ma; Shaoliang Zhang; Feng Xia 006; Leyu Lin (WWW (Companion Volume), 2023)

Graph Exploration Matters: Improving both individual-level and system-level diversity in WeChat Feed Recommender. - Shuai Yang; Lixin Zhang; Feng Xia 006; Leyu Lin (CoRR, 2023)

Learning from All Sides: Diversified Positive Augmentation via Self-distillation in Recommendation. - Chong Liu; Xiaoyang Liu; Ruobing Xie; Lixin Zhang; Feng Xia 006; Leyu Lin (CoRR, 2023)

Multi-Granularity Click Confidence Learning via Self-Distillation in Recommendation. - Chong Liu; Xiaoyang Liu; Lixin Zhang; Feng Xia 006; Leyu Lin (CoRR, 2023)

UPRec: User-aware Pre-training for sequential Recommendation. - Chaojun Xiao; Ruobing Xie; Yuan Yao 013; Zhiyuan Liu 001; Maosong Sun 001; Xu Zhang 028; Leyu Lin (AI Open, 2023)

Incorporating Link Prediction into Multi-Relational Item Graph Modeling for Session-Based Recommendation. - Wen Wang 016; Wei Zhang 056; Shukai Liu; Qi Liu 050; Bo Zhang 056; Leyu Lin; Hongyuan Zha (IEEE Trans. Knowl. Data Eng., 2023)

A Federated Attention-Based Multimodal Biometric Recognition Approach in IoT. - Leyu Lin; Yue Zhao; Jintao Meng 003; Qi Zhao (Sensors, 2023)

Group-based social diffusion in recommendation. - Xumin Chen; Ruobing Xie; Zhijie Qiu; Peng Cui 001; Ziwei Zhang 001; Shukai Liu; Shiqiang Yang; Bo Zhang 056; Leyu Lin (World Wide Web (WWW), 2023)

Plug-In Diffusion Model for Sequential Recommendation. - Haokai Ma; Ruobing Xie; Lei Meng 001; Xin Chen 091; Xu Zhang 028; Leyu Lin; Zhanhui Kang (AAAI, 2024)

Style Controlling in Recommendation. - Ruobing Xie; Xin Chen 091; Su Yan 004; Jinghan Chen; Xu Zhang 028; Xingwu Sun; Leyu Lin; Zhanhui Kang (DASFAA (7), 2024)

AuriSRec: Adversarial User Intention Learning in Sequential Recommendation. - Junjie Zhang 009; Ruobing Xie; Wenqi Sun; Leyu Lin; Xin Zhao 018; Ji-Rong Wen (EMNLP (Findings), 2024)

DFGNN: Dual-frequency Graph Neural Network for Sign-aware Feedback. - Yiqing Wu; Ruobing Xie; Zhao Zhang 011; Xu Zhang 028; Fuzhen Zhuang; Leyu Lin; Zhanhui Kang; Yongjun Xu 001 (KDD, 2024)

Improving Multi-modal Recommender Systems by Denoising and Aligning Multi-modal Content and User Feedback. - Guipeng Xv; Xinyu Li; Ruobing Xie; Chen Lin 001; Chong Liu; Feng Xia 006; Zhanhui Kang; Leyu Lin (KDD, 2024)

AgentCF: Collaborative Learning with Autonomous Language Agents for Recommender Systems. - Junjie Zhang 009; Yupeng Hou; Ruobing Xie; Wenqi Sun; Julian J. McAuley; Wayne Xin Zhao; Leyu Lin; Ji-Rong Wen (WWW, 2024)

Distillation is All You Need for Practically Using Different Pre-trained Recommendation Models. - Wenqi Sun; Ruobing Xie; Junjie Zhang 009; Wayne Xin Zhao; Leyu Lin; Ji-Rong Wen (CoRR, 2024)

ID-centric Pre-training for Recommendation. - Yiqing Wu; Ruobing Xie; Zhao Zhang 011; Fuzhen Zhuang; Xu Zhang 028; Leyu Lin; Zhanhui Kang; Yongjun Xu 001 (CoRR, 2024)

Personalized Prompt for Sequential Recommendation. - Yiqing Wu; Ruobing Xie; Yongchun Zhu; Fuzhen Zhuang; Xu Zhang 028; Leyu Lin; Qing He 003 (IEEE Trans. Knowl. Data Eng., 2024)

Triple Sequence Learning for Cross-domain Recommendation. - Haokai Ma; Ruobing Xie; Lei Meng 001; Xin Chen 091; Xu Zhang 028; Leyu Lin; Jie Zhou 016 (ACM Trans. Inf. Syst., 2024)

CIPPO: Contrastive Imitation Proximal Policy Optimization for Recommendation Based on Reinforcement Learning. - Weilong Chen; Shaoliang Zhang; Ruobing Xie; Feng Xia 006; Leyu Lin; Xinran Zhang; Yan Wang 083; Yanru Zhang (IEEE Trans. Knowl. Data Eng., 2024)

ID-centric Pre-training for Recommendation. - Yiqing Wu; Ruobing Xie; Zhao Zhang 011; Xu Zhang 028; Fuzhen Zhuang; Leyu Lin; Zhanhui Kang; Zhulin An; Yongjun Xu 001 (ACM Trans. Inf. Syst., 2025)

Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach. - Junjie Zhang 009; Ruobing Xie; Yupeng Hou; Xin Zhao 018; Leyu Lin; Ji-Rong Wen (ACM Trans. Inf. Syst., 2025)