Leyu Lin
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
52
Venues
17
Active years
2018–2024
Best venue rank
A*
Where they publish
Papers
52 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | AAAI | Plug-In Diffusion Model for Sequential Recommendation. | Haokai Ma, Ruobing Xie, Lei Meng, Xin Chen, Xu Zhang, Leyu Lin, Zhanhui Kang |
| 2024 | DASFAA | Style Controlling in Recommendation. | Ruobing Xie, Xin Chen, Su Yan, Jinghan Chen, Xu Zhang, Xingwu Sun, Leyu Lin, Zhanhui Kang |
| 2024 | EMNLP | AuriSRec: Adversarial User Intention Learning in Sequential Recommendation. | Junjie Zhang, Ruobing Xie, Wenqi Sun, Leyu Lin, Xin Zhao, Ji-Rong Wen |
| 2024 | KDD | DFGNN: Dual-frequency Graph Neural Network for Sign-aware Feedback. | Yiqing Wu, Ruobing Xie, Zhao Zhang, Xu Zhang, Fuzhen Zhuang, Leyu Lin, Zhanhui Kang, Yongjun Xu |
| 2024 | KDD | Improving Multi-modal Recommender Systems by Denoising and Aligning Multi-modal Content and User Feedback. | Guipeng Xv, Xinyu Li, Ruobing Xie, Chen Lin, Chong Liu, Feng Xia, Zhanhui Kang, Leyu Lin |
| 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 |
| 2023 | CIKM | Graph Exploration Matters: Improving both Individual-Level and System-Level Diversity in WeChat Feed Recommendation. | Shuai Yang, Lixin Zhang, Feng Xia, Leyu Lin |
| 2023 | DASFAA | Multi-granularity Item-Based Contrastive Recommendation. | Ruobing Xie, Zhijie Qiu, Bo Zhang, Leyu Lin |
| 2023 | EACL | Better Pre-Training by Reducing Representation Confusion. | Haojie Zhang, Mingfei Liang, Ruobing Xie, Zhenlong Sun, Bo Zhang, Leyu Lin |
| 2023 | KDD | CT4Rec: Simple yet Effective Consistency Training for Sequential Recommendation. | Chong Liu, Xiaoyang Liu, Rongqin Zheng, Lixin Zhang, Xiaobo Liang, Juntao Li, Lijun Wu, Min Zhang, Leyu Lin |
| 2023 | RecSys | Interpretable User Retention Modeling in Recommendation. | Rui Ding, Ruobing Xie, Xiaobo Hao, Xiaochun Yang, Kaikai Ge, Xu Zhang, Jie Zhou, Leyu Lin |
| 2023 | RecSys | Exploring False Hard Negative Sample in Cross-Domain Recommendation. | Haokai Ma, Ruobing Xie, Lei Meng, Xin Chen, Xu Zhang, Leyu Lin, Jie Zhou |
| 2023 | RecSys | Generative Next-Basket Recommendation. | Wenqi Sun, Ruobing Xie, Junjie Zhang, Wayne Xin Zhao, Leyu Lin, Ji-Rong Wen |
| 2023 | WWW | Reweighting Clicks with Dwell Time in Recommendation. | Ruobing Xie, Lin Ma, Shaoliang Zhang, Feng Xia, Leyu Lin |
| 2023 | SDM | UFNRec: Utilizing False Negative Samples for Sequential Recommendation. | Xiaoyang Liu, Chong Liu, Pinzheng Wang, Rongqin Zheng, Lixin Zhang, Leyu Lin, Zhijun Chen, Liangliang Fu |
| 2022 | ACL | Prompt Tuning for Discriminative Pre-trained Language Models. | Yuan Yao, Bowen Dong, Ao Zhang, Zhengyan Zhang, Ruobing Xie, Zhiyuan Liu, Leyu Lin, Maosong Sun, Jianyong Wang |
| 2022 | CIKM | Multi-granularity Fatigue in Recommendation. | Ruobing Xie, Cheng Ling, Shaoliang Zhang, Feng Xia, Leyu Lin |
| 2022 | DASFAA | Multi-view Multi-behavior Contrastive Learning in Recommendation. | Yiqing Wu, Ruobing Xie, Yongchun Zhu, Xiang Ao, Xin Chen, Xu Zhang, Fuzhen Zhuang, Leyu Lin, Qing He |
| 2022 | KDD | Contrastive Cross-domain Recommendation in Matching. | Ruobing Xie, Qi Liu, Liangdong Wang, Shukai Liu, Bo Zhang, Leyu Lin |
| 2022 | SIGIR | Selective Fairness in Recommendation via Prompts. | Yiqing Wu, Ruobing Xie, Yongchun Zhu, Fuzhen Zhuang, Xiang Ao, Xu Zhang, Leyu Lin, Qing He |
| 2022 | WSDM | Long Short-Term Temporal Meta-learning in Online Recommendation. | Ruobing Xie, Yalong Wang, Rui Wang, Yuanfu Lu, Yuanhang Zou, Feng Xia, Leyu Lin |
| 2022 | WSDM | A Peep into the Future: Adversarial Future Encoding in Recommendation. | Ruobing Xie, Shaoliang Zhang, Rui Wang, Feng Xia, Leyu Lin |
| 2022 | WSDM | Personalized Transfer of User Preferences for Cross-domain Recommendation. | Yongchun Zhu, Zhenwei Tang, Yudan Liu, Fuzhen Zhuang, Ruobing Xie, Xu Zhang, Leyu Lin, Qing He |
| 2021 | AAAI | Hierarchical Reinforcement Learning for Integrated Recommendation. | Ruobing Xie, Shaoliang Zhang, Rui Wang, Feng Xia, Leyu Lin |
| 2021 | CIKM | Influence Maximization in Multi-Relational Social Networks. | Wei Wang, Haili Yang, Yuanfu Lu, Yuanhang Zou, Xu Zhang, Shuting Guo, Leyu Lin |
| 2021 | CIKM | Explore, Filter and Distill: Distilled Reinforcement Learning in Recommendation. | Ruobing Xie, Shaoliang Zhang, Rui Wang, Feng Xia, Leyu Lin |
| 2021 | KDD | Adversarial Feature Translation for Multi-domain Recommendation. | Xiaobo Hao, Yudan Liu, Ruobing Xie, Kaikai Ge, Linyao Tang, Xu Zhang, Leyu Lin |
| 2021 | KDD | 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, Leyu Lin, Juan Cao |
| 2021 | NAACL | Open Hierarchical Relation Extraction. | Kai Zhang, Yuan Yao, Ruobing Xie, Xu Han, Zhiyuan Liu, Fen Lin, Leyu Lin, Maosong Sun |
| 2021 | WWW | Personalized Approximate Pareto-Efficient Recommendation. | Ruobing Xie, Yanlei Liu, Shaoliang Zhang, Rui Wang, Feng Xia, Leyu Lin |
| 2021 | SIGIR | Package Recommendation with Intra- and Inter-Package Attention Networks. | Chen Li, Yuanfu Lu, Wei Wang, Chuan Shi, Ruobing Xie, Haili Yang, Cheng Yang, Xu Zhang, Leyu Lin |
| 2021 | SIGIR | Transfer-Meta Framework for Cross-domain Recommendation to Cold-Start Users. | Yongchun Zhu, Kaikai Ge, Fuzhen Zhuang, Ruobing Xie, Dongbo Xi, Xu Zhang, Leyu Lin, Qing He |
| 2021 | SIGIR | 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, Xu Zhang, Leyu Lin, Juan Cao |
| 2021 | WSDM | Real-time Relevant Recommendation Suggestion. | Ruobing Xie, Rui Wang, Shaoliang Zhang, Zhihong Yang, Feng Xia, Leyu Lin |
| 2020 | AAAI | Neural Snowball for Few-Shot Relation Learning. | Tianyu Gao, Xu Han, Ruobing Xie, Zhiyuan Liu, Fen Lin, Leyu Lin, Maosong Sun |
| 2020 | CIKM | Graph Neural Network for Tag Ranking in Tag-enhanced Video Recommendation. | Qi Liu, Ruobing Xie, Lei Chen, Shukai Liu, Ke Tu, Peng Cui, Bo Zhang, Leyu Lin |
| 2020 | CIKM | Learning to Build User-tag Profile in Recommendation System. | Su Yan, Xin Chen, Ran Huo, Xu Zhang, Leyu Lin |
| 2020 | COLING | Meta-Information Guided Meta-Learning for Few-Shot Relation Classification. | Bowen Dong, Yuan Yao, Ruobing Xie, Tianyu Gao, Xu Han, Zhiyuan Liu, Fen Lin, Leyu Lin, Maosong Sun |
| 2020 | ECAI | Capturing Attraction Distribution: Sequential Attentive Network for Dwell Time Prediction. | Tianxin Wang, Jingwu Chen, Fuzhen Zhuang, Leyu Lin, Feng Xia, Lihuan Du, Qing He |
| 2020 | EMNLP | Denoising Relation Extraction from Document-level Distant Supervision. | Chaojun Xiao, Yuan Yao, Ruobing Xie, Xu Han, Zhiyuan Liu, Maosong Sun, Fen Lin, Leyu Lin |
| 2020 | ICLR | 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 |
| 2020 | IJCAI | Deep Feedback Network for Recommendation. | Ruobing Xie, Cheng Ling, Yalong Wang, Rui Wang, Feng Xia, Leyu Lin |
| 2020 | IJCAI | Internal and Contextual Attention Network for Cold-start Multi-channel Matching in Recommendation. | Ruobing Xie, Zhijie Qiu, Jun Rao, Yi Liu, Bo Zhang, Leyu Lin |
| 2020 | RecSys | Exploring Clustering of Bandits for Online Recommendation System. | Liu Yang, Bo Liu, Leyu Lin, Feng Xia, Kai Chen, Qiang Yang |
| 2020 | WWW | Beyond Clicks: Modeling Multi-Relational Item Graph for Session-Based Target Behavior Prediction. | Wen Wang, Wei Zhang, Shukai Liu, Qi Liu, Bo Zhang, Leyu Lin, Hongyuan Zha |
| 2020 | SIGIR | Group-Aware Long- and Short-Term Graph Representation Learning for Sequential Group Recommendation. | Wen Wang, Wei Zhang, Jun Rao, Zhijie Qiu, Bo Zhang, Leyu Lin, Hongyuan Zha |
| 2019 | EMNLP | Open Relation Extraction: Relational Knowledge Transfer from Supervised Data to Unsupervised Data. | Ruidong Wu, Yuan Yao, Xu Han, Ruobing Xie, Zhiyuan Liu, Fen Lin, Leyu Lin, Maosong Sun |
| 2019 | KDD | Real-time Attention Based Look-alike Model for Recommender System. | Yudan Liu, Kaikai Ge, Xu Zhang, Leyu Lin |
| 2019 | SIGIR | Effects of User Negative Experience in Mobile News Streaming. | Hongyu Lu, Min Zhang, Weizhi Ma, Ce Wang, Feng Xia, Yiqun Liu, Leyu Lin, Shaoping Ma |
| 2018 | AAAI | Does William Shakespeare REALLY Write Hamlet? Knowledge Representation Learning With Confidence. | Ruobing Xie, Zhiyuan Liu, Fen Lin, Leyu Lin |
| 2018 | ACL | Incorporating Chinese Characters of Words for Lexical Sememe Prediction. | Huiming Jin, Hao Zhu, Zhiyuan Liu, Ruobing Xie, Maosong Sun, Fen Lin, Leyu Lin |
| 2018 | EMNLP | Language Modeling with Sparse Product of Sememe Experts. | Yihong Gu, Jun Yan, Hao Zhu, Zhiyuan Liu, Ruobing Xie, Maosong Sun, Fen Lin, Leyu Lin |