Leyu Lin

ORCID

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 112

Top Venues

CoRR

KDD

IEEE Trans. Knowl. Data Eng.

CIKM

Publications

Haokai Ma, Ruobing Xie, Lei Meng, Xin Chen, Xu Zhang, Leyu Lin, Zhanhui Kang
Plug-In Diffusion Model for Sequential Recommendation. AAAI (2024)
Yiqing Wu, Ruobing Xie, Zhao Zhang, Xu Zhang, Fuzhen Zhuang, Leyu Lin, Zhanhui Kang, Yongjun Xu
DFGNN: Dual-frequency Graph Neural Network for Sign-aware Feedback. KDD (2024)
Haokai Ma, Ruobing Xie, Lei Meng, Xin Chen, Xu Zhang, Leyu Lin, Jie Zhou
Triple Sequence Learning for Cross-domain Recommendation. ACM Trans. Inf. Syst. 42 (4) (2024)
Wenqi Sun, Ruobing Xie, Junjie Zhang, Wayne Xin Zhao, Leyu Lin, Ji-Rong Wen
Distillation is All You Need for Practically Using Different Pre-trained Recommendation Models. CoRR (2024)
Junjie Zhang, Yupeng Hou, Ruobing Xie, Wenqi Sun, Julian J. McAuley, Wayne Xin Zhao, Leyu Lin, Ji-Rong Wen
AgentCF: Collaborative Learning with Autonomous Language Agents for Recommender Systems. WWW (2024)
Yiqing Wu, Ruobing Xie, Zhao Zhang, Fuzhen Zhuang, Xu Zhang, Leyu Lin, Zhanhui Kang, Yongjun Xu
ID-centric Pre-training for Recommendation. CoRR (2024)
Haokai Ma, Ruobing Xie, Lei Meng, Xin Chen, Xu Zhang, Leyu Lin, Zhanhui Kang
Plug-in Diffusion Model for Sequential Recommendation. CoRR (2024)
Guipeng Xv, Xinyu Li, Ruobing Xie, Chen Lin, Chong Liu, Feng Xia, Zhanhui Kang, Leyu Lin
Improving Multi-modal Recommender Systems by Denoising and Aligning Multi-modal Content and User Feedback. CoRR (2024)
Yiqing Wu, Ruobing Xie, Yongchun Zhu, Fuzhen Zhuang, Xu Zhang, Leyu Lin, Qing He
Personalized Prompt for Sequential Recommendation. IEEE Trans. Knowl. Data Eng. 36 (7) (2024)
Guipeng Xv, Xinyu Li, Ruobing Xie, Chen Lin, Chong Liu, Feng Xia, Zhanhui Kang, Leyu Lin
Improving Multi-modal Recommender Systems by Denoising and Aligning Multi-modal Content and User Feedback. KDD (2024)
Yiqing Wu, Ruobing Xie, Zhao Zhang, Xu Zhang, Fuzhen Zhuang, Leyu Lin, Zhanhui Kang, Yongjun Xu
DFGNN: Dual-frequency Graph Neural Network for Sign-aware Feedback. CoRR (2024)
Shuai Yang, Lixin Zhang, Feng Xia, Leyu Lin
Graph Exploration Matters: Improving both Individual-Level and System-Level Diversity in WeChat Feed Recommendation. CIKM (2023)
Haojie Zhang, Mingfei Liang, Ruobing Xie, Zhenlong Sun, Bo Zhang, Leyu Lin
Better Pre-Training by Reducing Representation Confusion. EACL (Findings) (2023)
Leyu Lin, Yue Zhao, Jintao Meng, Qi Zhao
A Federated Attention-Based Multimodal Biometric Recognition Approach in IoT. Sensors 23 (13) (2023)
Junjie Zhang, Ruobing Xie, Yupeng Hou, Wayne Xin Zhao, Leyu Lin, Ji-Rong Wen
Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach. CoRR (2023)
Chong Liu, Xiaoyang Liu, Lixin Zhang, Feng Xia, Leyu Lin
Multi-Granularity Click Confidence Learning via Self-Distillation in Recommendation. CoRR (2023)
Chong Liu, Ruobing Xie, Xiaoyang Liu, Pinzheng Wang, Rongqin Zheng, Lixin Zhang, Juntao Li, Feng Xia, Leyu Lin
Future Augmentation with Self-distillation in Recommendation. ECML/PKDD (6) (2023)
Haokai Ma, Ruobing Xie, Lei Meng, Xin Chen, Xu Zhang, Leyu Lin, Jie Zhou
Exploring False Hard Negative Sample in Cross-Domain Recommendation. RecSys (2023)
Liu Chong, Xiaoyang Liu, Rongqin Zheng, Lixin Zhang, Xiaobo Liang, Juntao Li, Lijun Wu, Min Zhang, Leyu Lin
CT4Rec: Simple yet Effective Consistency Training for Sequential Recommendation. KDD (2023)
Shuai Yang, Lixin Zhang, Feng Xia, Leyu Lin
Graph Exploration Matters: Improving both individual-level and system-level diversity in WeChat Feed Recommender. CoRR (2023)
Rui Ding, Ruobing Xie, Xiaobo Hao, Xiaochun Yang, Kaikai Ge, Xu Zhang, Jie Zhou, Leyu Lin
Interpretable User Retention Modeling in Recommendation. RecSys (2023)
Wen Wang, Wei Zhang, Shukai Liu, Qi Liu, Bo Zhang, Leyu Lin, Hongyuan Zha
Incorporating Link Prediction into Multi-Relational Item Graph Modeling for Session-Based Recommendation. IEEE Trans. Knowl. Data Eng. 35 (3) (2023)
Haokai Ma, Ruobing Xie, Lei Meng, Xin Chen, Xu Zhang, Leyu Lin, Jie Zhou
Triple Sequence Learning for Cross-domain Recommendation. CoRR (2023)
Xiaoyang Liu, Chong Liu, Pinzheng Wang, Rongqin Zheng, Lixin Zhang, Leyu Lin, Zhijun Chen, Liangliang Fu
UFNRec: Utilizing False Negative Samples for Sequential Recommendation. SDM (2023)
Wenqi Sun, Ruobing Xie, Junjie Zhang, Wayne Xin Zhao, Leyu Lin, Ji-Rong Wen
Generative Next-Basket Recommendation. RecSys (2023)
Ruobing Xie, Lin Ma, Shaoliang Zhang, Feng Xia, Leyu Lin
Reweighting Clicks with Dwell Time in Recommendation. WWW (Companion Volume) (2023)
Ruobing Xie, Zhijie Qiu, Bo Zhang, Leyu Lin
Multi-granularity Item-Based Contrastive Recommendation. DASFAA (2) (2023)
Junjie Zhang, Yupeng Hou, Ruobing Xie, Wenqi Sun, Julian J. McAuley, Wayne Xin Zhao, Leyu Lin, Ji-Rong Wen
AgentCF: Collaborative Learning with Autonomous Language Agents for Recommender Systems. CoRR (2023)
Chong Liu, Xiaoyang Liu, Ruobing Xie, Lixin Zhang, Feng Xia, Leyu Lin
Learning from All Sides: Diversified Positive Augmentation via Self-distillation in Recommendation. CoRR (2023)
Chaojun Xiao, Ruobing Xie, Yuan Yao, Zhiyuan Liu, Maosong Sun, Xu Zhang, Leyu Lin
UPRec: User-aware Pre-training for sequential Recommendation. AI Open 4 (2023)
Xumin Chen, Ruobing Xie, Zhijie Qiu, Peng Cui, Ziwei Zhang, Shukai Liu, Shiqiang Yang, Bo Zhang, Leyu Lin
Group-based social diffusion in recommendation. World Wide Web (WWW) 26 (4) (2023)
Ruobing Xie, Zhijie Qiu, Bo Zhang, Leyu Lin
Multi-granularity Item-based Contrastive Recommendation. CoRR (2022)
Zhengyan Zhang, Cheng Yang, Zhiyuan Liu, Maosong Sun, Zhichong Fang, Bo Zhang, Leyu Lin
COSINE: Compressive Network Embedding on Large-Scale Information Networks. IEEE Trans. Knowl. Data Eng. 34 (8) (2022)
Yiqing Wu, Ruobing Xie, Yongchun Zhu, Fuzhen Zhuang, Xu Zhang, Leyu Lin, Qing He
Personalized Prompts for Sequential Recommendation. CoRR (2022)
Yuan Yao, Bowen Dong, Ao Zhang, Zhengyan Zhang, Ruobing Xie, Zhiyuan Liu, Leyu Lin, Maosong Sun, Jianyong Wang
Prompt Tuning for Discriminative Pre-trained Language Models. ACL (Findings) (2022)
Haojie Zhang, Mingfei Liang, Ruobing Xie, Zhenlong Sun, Bo Zhang, Leyu Lin
Improve Transformer Pre-Training with Decoupled Directional Relative Position Encoding and Representation Differentiations. CoRR (2022)
Yiqing Wu, Ruobing Xie, Yongchun Zhu, Xiang Ao, Xin Chen, Xu Zhang, Fuzhen Zhuang, Leyu Lin, Qing He
Multi-view Multi-behavior Contrastive Learning in Recommendation. DASFAA (2) (2022)
Yongchun Zhu, Zhenwei Tang, Yudan Liu, Fuzhen Zhuang, Ruobing Xie, Xu Zhang, Leyu Lin, Qing He
Personalized Transfer of User Preferences for Cross-domain Recommendation. WSDM (2022)
Ruobing Xie, Qi Liu, Liangdong Wang, Shukai Liu, Bo Zhang, Leyu Lin
Contrastive Cross-domain Recommendation in Matching. KDD (2022)
Xiaoyang Liu, Chong Liu, Pinzheng Wang, Rongqin Zheng, Lixin Zhang, Leyu Lin, Zhijun Chen, Liangliang Fu
UFNRec: Utilizing False Negative Samples for Sequential Recommendation. CoRR (2022)
Yiqing Wu, Ruobing Xie, Yongchun Zhu, Fuzhen Zhuang, Xiang Ao, Xu Zhang, Leyu Lin, Qing He
Selective Fairness in Recommendation via Prompts. CoRR (2022)
Ruobing Xie, Qi Liu, Shukai Liu, Ziwei Zhang, Peng Cui, Bo Zhang, Leyu Lin
Improving Accuracy and Diversity in Matching of Recommendation With Diversified Preference Network. IEEE Trans. Big Data 8 (4) (2022)
Ruobing Xie, Lin Ma, Shaoliang Zhang, Feng Xia, Leyu Lin
Reweighting Clicks with Dwell Time in Recommendation. CoRR (2022)
Leyu Lin, Bo Tian, Yue Zhao, Yiru Niu
A Privacy-Preserving Gait Recognition Scheme Under Homomorphic Encryption. NaNA (2022)
Ruobing Xie, Shaoliang Zhang, Rui Wang, Feng Xia, Leyu Lin
A Peep into the Future: Adversarial Future Encoding in Recommendation. WSDM (2022)
Yue Zhao, Bo Tian, Ning Hu, Qi Zhao, Yiru Niu, Leyu Lin, Yarang Yang
SQRT: A Secure Querying Scheme of Routing Table Based on Oblivious Transfer. Symmetry 14 (6) (2022)
Tianxin Wang, Fuzhen Zhuang, Ying Sun, Xiangliang Zhang, Leyu Lin, Feng Xia, Lei He, Qing He
Adaptively sharing multi-levels of distributed representations in multi-task learning. Inf. Sci. 591 (2022)
Yiqing Wu, Ruobing Xie, Yongchun Zhu, Xiang Ao, Xin Chen, Xu Zhang, Fuzhen Zhuang, Leyu Lin, Qing He
Multi-view Multi-behavior Contrastive Learning in Recommendation. CoRR (2022)
Yiqing Wu, Ruobing Xie, Yongchun Zhu, Fuzhen Zhuang, Xiang Ao, Xu Zhang, Leyu Lin, Qing He
Selective Fairness in Recommendation via Prompts. SIGIR (2022)
Ruobing Xie, Yalong Wang, Rui Wang, Yuanfu Lu, Yuanhang Zou, Feng Xia, Leyu Lin
Long Short-Term Temporal Meta-learning in Online Recommendation. WSDM (2022)
Yuan Yao, Bowen Dong, Ao Zhang, Zhengyan Zhang, Ruobing Xie, Zhiyuan Liu, Leyu Lin, Maosong Sun, Jianyong Wang
Prompt Tuning for Discriminative Pre-trained Language Models. CoRR (2022)
Fanjin Zhang, Jie Tang, Xueyi Liu, Zhenyu Hou, Yuxiao Dong, Jing Zhang, Xiao Liu, Ruobing Xie, Kai Zhuang, Xu Zhang, Leyu Lin, Philip S. Yu
Understanding WeChat User Preferences and "Wow" Diffusion. IEEE Trans. Knowl. Data Eng. 34 (12) (2022)
Ruobing Xie, Cheng Ling, Shaoliang Zhang, Feng Xia, Leyu Lin
Multi-granularity Fatigue in Recommendation. CIKM (2022)
Ruiqi Zeng, Leyu Lin, Yue Zhao
A Novel Weight Adaptive Multi Factor Authorization Technology. ADHIP (2) (2022)
Wei Wang, Haili Yang, Yuanfu Lu, Yuanhang Zou, Xu Zhang, Shuting Guo, Leyu Lin
Influence Maximization in Multi-Relational Social Networks. CIKM (2021)
Ruobing Xie, Qi Liu, Liangdong Wang, Shukai Liu, Bo Zhang, Leyu Lin
Contrastive Cross-domain Recommendation in Matching. CoRR (2021)
Yongchun Zhu, Kaikai Ge, Fuzhen Zhuang, Ruobing Xie, Dongbo Xi, Xu Zhang, Leyu Lin, Qing He
Transfer-Meta Framework for Cross-domain Recommendation to Cold-Start Users. SIGIR (2021)
Ruobing Xie, Shaoliang Zhang, Rui Wang, Feng Xia, Leyu Lin
Hierarchical Reinforcement Learning for Integrated Recommendation. AAAI (2021)
Yongchun Zhu, Yudan Liu, Ruobing Xie, Fuzhen Zhuang, Xiaobo Hao, Kaikai Ge, Xu Zhang, Leyu Lin, Juan Cao
Learning to Expand Audience via Meta Hybrid Experts and Critics for Recommendation and Advertising. CoRR (2021)
Ruobing Xie, Yalong Wang, Rui Wang, Yuanfu Lu, Yuanhang Zou, Feng Xia, Leyu Lin
Long Short-Term Temporal Meta-learning in Online Recommendation. CoRR (2021)
Yongchun Zhu, Yudan Liu, Ruobing Xie, Fuzhen Zhuang, Xiaobo Hao, Kaikai Ge, Xu Zhang, Leyu Lin, Juan Cao
Learning to Expand Audience via Meta Hybrid Experts and Critics for Recommendation and Advertising. KDD (2021)
Xiaobo Hao, Yudan Liu, Ruobing Xie, Kaikai Ge, Linyao Tang, Xu Zhang, Leyu Lin
Adversarial Feature Translation for Multi-domain Recommendation. KDD (2021)
Haomin Yu, Mingfei Liang, Ruobing Xie, Zhenlong Sun, Bo Zhang, Leyu Lin
MMNet: Multi-granularity Multi-mode Network for Item-Level Share Rate Prediction. ECML/PKDD (5) (2021)
Yongchun Zhu, Zhenwei Tang, Yudan Liu, Fuzhen Zhuang, Ruobing Xie, Xu Zhang, Leyu Lin, Qing He
Personalized Transfer of User Preferences for Cross-domain Recommendation. CoRR (2021)
Yongchun Zhu, Kaikai Ge, Fuzhen Zhuang, Ruobing Xie, Dongbo Xi, Xu Zhang, Leyu Lin, Qing He
Transfer-Meta Framework for Cross-domain Recommendation to Cold-Start Users. CoRR (2021)
Chaojun Xiao, Ruobing Xie, Yuan Yao, Zhiyuan Liu, Maosong Sun, Xu Zhang, Leyu Lin
UPRec: User-Aware Pre-training for Recommender Systems. CoRR (2021)
Kai Zhang, Yuan Yao, Ruobing Xie, Xu Han, Zhiyuan Liu, Fen Lin, Leyu Lin, Maosong Sun
Open Hierarchical Relation Extraction. NAACL-HLT (2021)
Ruobing Xie, Shaoliang Zhang, Rui Wang, Feng Xia, Leyu Lin
Explore, Filter and Distill: Distilled Reinforcement Learning in Recommendation. CIKM (2021)
Chen Li, Yuanfu Lu, Wei Wang, Chuan Shi, Ruobing Xie, Haili Yang, Cheng Yang, Xu Zhang, Leyu Lin
Package Recommendation with Intra- and Inter-Package Attention Networks. SIGIR (2021)
Chong Liu, Xiaoyang Liu, Rongqin Zheng, Lixin Zhang, Xiaobo Liang, Juntao Li, Lijun Wu, Min Zhang, Leyu Lin
-Rec: An Effective Consistency Constraint for Sequential Recommendation. CoRR (2021)
Zheni Zeng, Chaojun Xiao, Yuan Yao, Ruobing Xie, Zhiyuan Liu, Fen Lin, Leyu Lin, Maosong Sun
Knowledge Transfer via Pre-training for Recommendation: A Review and Prospect. Frontiers Big Data 4 (2021)
Ruobing Xie, Rui Wang, Shaoliang Zhang, Zhihong Yang, Feng Xia, Leyu Lin
Real-time Relevant Recommendation Suggestion. WSDM (2021)
Yongchun Zhu, Ruobing Xie, Fuzhen Zhuang, Kaikai Ge, Ying Sun, Xu Zhang, Leyu Lin, Juan Cao
Learning to Warm Up Cold Item Embeddings for Cold-start Recommendation with Meta Scaling and Shifting Networks. SIGIR (2021)
Ruobing Xie, Qi Liu, Shukai Liu, Ziwei Zhang, Peng Cui, Bo Zhang, Leyu Lin
Improving Accuracy and Diversity in Matching of Recommendation with Diversified Preference Network. CoRR (2021)
Fanjin Zhang, Jie Tang, Xueyi Liu, Zhenyu Hou, Yuxiao Dong, Jing Zhang, Xiao Liu, Ruobing Xie, Kai Zhuang, Xu Zhang, Leyu Lin, Philip S. Yu
Understanding WeChat User Preferences and "Wow" Diffusion. CoRR (2021)
Ruobing Xie, Yanlei Liu, Shaoliang Zhang, Rui Wang, Feng Xia, Leyu Lin
Personalized Approximate Pareto-Efficient Recommendation. WWW (2021)
Jingwu Chen, Fuzhen Zhuang, Tianxin Wang, Leyu Lin, Feng Xia, Lihuan Du, Qing He
Follow the Title Then Read the Article: Click-Guide Network for Dwell Time Prediction. IEEE Trans. Knowl. Data Eng. 33 (7) (2021)
Yongchun Zhu, Ruobing Xie, Fuzhen Zhuang, Kaikai Ge, Ying Sun, Xu Zhang, Leyu Lin, Juan Cao
Learning to Warm Up Cold Item Embeddings for Cold-start Recommendation with Meta Scaling and Shifting Networks. CoRR (2021)
Yuanfu Lu, Ruobing Xie, Chuan Shi, Yuan Fang, Wei Wang, Xu Zhang, Leyu Lin
Social Influence Attentive Neural Network for Friend-Enhanced Recommendation. ECML/PKDD (4) (2020)
Chaojun Xiao, Yuan Yao, Ruobing Xie, Xu Han, Zhiyuan Liu, Maosong Sun, Fen Lin, Leyu Lin
Denoising Relation Extraction from Document-level Distant Supervision. CoRR (2020)
Wen Wang, Wei Zhang, Jun Rao, Zhijie Qiu, Bo Zhang, Leyu Lin, Hongyuan Zha
Group-Aware Long- and Short-Term Graph Representation Learning for Sequential Group Recommendation. SIGIR (2020)
Wen Wang, Wei Zhang, Shukai Liu, Qi Liu, Bo Zhang, Leyu Lin, Hongyuan Zha
Beyond Clicks: Modeling Multi-Relational Item Graph for Session-Based Target Behavior Prediction. CoRR (2020)
Tianxin Wang, Jingwu Chen, Fuzhen Zhuang, Leyu Lin, Feng Xia, Lihuan Du, Qing He
Capturing Attraction Distribution: Sequential Attentive Network for Dwell Time Prediction. ECAI (2020)
Dongze Lian, Yin Zheng, Yintao Xu, Yanxiong Lu, Leyu Lin, Peilin Zhao, Junzhou Huang, Shenghua Gao
Towards Fast Adaptation of Neural Architectures with Meta Learning. ICLR (2020)
Weilong Chen, Feng Hong, Chenghao Huang, Shaoliang Zhang, Rui Wang, Ruobing Xie, Feng Xia, Leyu Lin, Yanru Zhang, Yan Wang
Curriculum Learning for Wide Multimedia-Based Transformer with Graph Target Detection. ACM Multimedia (2020)
Wen Wang, Wei Zhang, Shukai Liu, Qi Liu, Bo Zhang, Leyu Lin, Hongyuan Zha
Beyond Clicks: Modeling Multi-Relational Item Graph for Session-Based Target Behavior Prediction. WWW (2020)
Bowen Dong, Yuan Yao, Ruobing Xie, Tianyu Gao, Xu Han, Zhiyuan Liu, Fen Lin, Leyu Lin, Maosong Sun
Meta-Information Guided Meta-Learning for Few-Shot Relation Classification. COLING (2020)
Liu Yang, Bo Liu, Leyu Lin, Feng Xia, Kai Chen, Qiang Yang
Exploring Clustering of Bandits for Online Recommendation System. RecSys (2020)
Tianyu Gao, Xu Han, Ruobing Xie, Zhiyuan Liu, Fen Lin, Leyu Lin, Maosong Sun
Neural Snowball for Few-Shot Relation Learning. AAAI (2020)
Su Yan, Xin Chen, Ran Huo, Xu Zhang, Leyu Lin
Learning to Build User-tag Profile in Recommendation System. CIKM (2020)
Ruobing Xie, Zhijie Qiu, Jun Rao, Yi Liu, Bo Zhang, Leyu Lin
Internal and Contextual Attention Network for Cold-start Multi-channel Matching in Recommendation. IJCAI (2020)
Chaojun Xiao, Yuan Yao, Ruobing Xie, Xu Han, Zhiyuan Liu, Maosong Sun, Fen Lin, Leyu Lin
Denoising Relation Extraction from Document-level Distant Supervision. EMNLP (1) (2020)
Ruobing Xie, Yanan Lu, Fen Lin, Leyu Lin
FAQ-Based Question Answering via Knowledge Anchors. NLPCC (1) (2020)
Qi Liu, Ruobing Xie, Lei Chen, Shukai Liu, Ke Tu, Peng Cui, Bo Zhang, Leyu Lin
Graph Neural Network for Tag Ranking in Tag-enhanced Video Recommendation. CIKM (2020)
Ruobing Xie, Cheng Ling, Yalong Wang, Rui Wang, Feng Xia, Leyu Lin
Deep Feedback Network for Recommendation. IJCAI (2020)
Zheni Zeng, Chaojun Xiao, Yuan Yao, Ruobing Xie, Zhiyuan Liu, Fen Lin, Leyu Lin, Maosong Sun
Knowledge Transfer via Pre-training for Recommendation: A Review and Prospect. CoRR (2020)
Ruidong Wu, Yuan Yao, Xu Han, Ruobing Xie, Zhiyuan Liu, Fen Lin, Leyu Lin, Maosong Sun
Open Relation Extraction: Relational Knowledge Transfer from Supervised Data to Unsupervised Data. EMNLP/IJCNLP (1) (2019)
Ruobing Xie, Yanan Lu, Fen Lin, Leyu Lin
FAQ-based Question Answering via Knowledge Anchors. CoRR (2019)
Tianyu Gao, Xu Han, Ruobing Xie, Zhiyuan Liu, Fen Lin, Leyu Lin, Maosong Sun
Neural Snowball for Few-Shot Relation Learning. CoRR (2019)
Yudan Liu, Kaikai Ge, Xu Zhang, Leyu Lin
Real-time Attention Based Look-alike Model for Recommender System. CoRR (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Leyu Lin