Wei Lin - RankMe

34 papers A* 8A 8Journal 13Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Beyond Persuasiveness: A User-Centric Evaluation Framework of Explanations for Food Recommendation. ECIR (2) Yurou Zhao, Yiding Sun, Ruidong Han, Fei Jiang, Wei Lin, Jiaxin Mao
2026	A	`conf`	CAT-ID WSDM Xiaoyu Liu, Fuwei Zhang, Yiqing Wu, Xinyu Jia, Zenghua Xia, Fuzhen Zhuang, Zhao Zhang, Fei Jiang, Wei Lin
2026	—	`conf`	MTGenRec: An Efficient Distributed Training System for Generative Recommendation Models in Meituan. KDD (1) Yuxiang Wang, Chi Ma, Xiao Yan, Mincong Huang, Xiaoguang Li, Ruidong Han, Bin Yin, Shangyu Chen, Xiang Li, Fei Jiang, Lei Yu, Chuan Liu, Wei Lin, Haowei Han, Xiaokai Zhou, Bo Du, Jiawei Jiang
2025	A	`conf`	A Soft-partitioned Semi-supervised Collaborative Transfer Learning Approach for Multi-Domain Recommendation. CIKM Xiaoyu Liu, Yiqing Wu, Ruidong Han, Fuzhen Zhuang, Xiang Li, Wei Lin
2025	A	`conf`	Adapting LLMs for Personalized Evaluation of Explanations for Recommendations: A Meta-Learning Approach based on MAML. CIKM Yurou Zhao, Yingfei Zhang, Quan Zhou, Shuang Zhang, Wei Lin, Jiaxin Mao
2025	J	`jnl`	Bi-Level Decision-Focused Causal Learning for Large-Scale Marketing Optimization: Bridging Observational and Experimental Data. CoRR Shuli Zhang, Hao Zhou, Jiaqi Zheng, Guibin Jiang, Bing Cheng, Wei Lin, Guihai Chen
2025	J	`jnl`	CAT-ID CoRR Xiaoyu Liu, Fuwei Zhang, Yiqing Wu, Xinyu Jia, Zenghua Xia, Fuzhen Zhuang, Zhao Zhang, Fei Jiang, Wei Lin
2025	—	`conf`	HierGR: Hierarchical Semantic Representation Enhancement for Generative Retrieval in Food Delivery Search. ACL (6) Fuwei Zhang, Xiaoyu Liu, Xinyu Jia, Yingfei Zhang, Zenghua Xia, Fei Jiang, Fuzhen Zhuang, Wei Lin, Zhao Zhang
2025	A	`conf`	MTGR: Industrial-Scale Generative Recommendation Framework in Meituan. CIKM Ruidong Han, Bin Yin, Shangyu Chen, He Jiang, Fei Jiang, Xiang Li, Chi Ma, Mincong Huang, Xiaoguang Li, Chunzhen Jing, Yueming Han, Menglei Zhou, Lei Yu, Chuan Liu, Wei Lin
2025	J	`jnl`	MTGRBoost: Boosting Large-scale Generative Recommendation Models in Meituan. CoRR Yuxiang Wang, Xiao Yan, Chi Ma, Mincong Huang, Xiaoguang Li, Lei Yu, Chuan Liu, Ruidong Han, He Jiang, Bin Yin, Shangyu Chen, Fei Jiang, Xiang Li, Wei Lin, Haowei Han, Bo Du, Jiawei Jiang
2025	—	`conf`	Multi-level Relevance Document Identifier Learning for Generative Retrieval. ACL (1) Fuwei Zhang, Xiaoyu Liu, Xinyu Jia, Yingfei Zhang, Shuai Zhang, Xiang Li, Fuzhen Zhuang, Wei Lin, Zhao Zhang
2024	A	`conf`	Aligning Explanations for Recommendation with Rating and Feature via Maximizing Mutual Information. CIKM Yurou Zhao, Yiding Sun, Ruidong Han, Fei Jiang, Lu Guan, Xiang Li, Wei Lin, Weizhi Ma, Jiaxin Mao
2024	J	`jnl`	Aligning Explanations for Recommendation with Rating and Feature via Maximizing Mutual Information. CoRR Yurou Zhao, Yiding Sun, Ruidong Han, Fei Jiang, Lu Guan, Xiang Li, Wei Lin, Jiaxin Mao
2024	—	`conf`	Context-based Fast Recommendation Strategy for Long User Behavior Sequence in Meituan Waimai. WWW (Companion Volume) Zhichao Feng, Junjie Xie, Kaiyuan Li, Yu Qin, Pengfei Wang, Qianzhong Li, Bin Yin, Xiang Li, Wei Lin, Shangguang Wang
2024	J	`jnl`	Context-based Fast Recommendation Strategy for Long User Behavior Sequence in Meituan Waimai. CoRR Zhichao Feng, Junjie Xie, Kaiyuan Li, Yu Qin, Pengfei Wang, Qianzhong Li, Bin Yin, Xiang Li, Wei Lin, Shangguang Wang
2024	A*	`conf`	Decision Focused Causal Learning for Direct Counterfactual Marketing Optimization. KDD Hao Zhou, Rongxiao Huang, Shaoming Li, Guibin Jiang, Jiaqi Zheng, Bing Cheng, Wei Lin
2024	J	`jnl`	Decision Focused Causal Learning for Direct Counterfactual Marketing Optimization. CoRR Hao Zhou, Rongxiao Huang, Shaoming Li, Guibin Jiang, Jiaqi Zheng, Bing Cheng, Wei Lin
2024	J	`jnl`	Don't Half-listen: Capturing Key-part Information in Continual Instruction Tuning. CoRR Yongquan He, Xuancheng Huang, Minghao Tang, Lingxun Meng, Xiang Li, Wei Lin, Wenyuan Zhang, Yifu Gao
2024	J	`jnl`	Enhancing CTR Prediction through Sequential Recommendation Pre-training: Introducing the SRP4CTR Framework. CoRR Ruidong Han, Qianzhong Li, He Jiang, Rui Li, Yurou Zhao, Xiang Li, Wei Lin
2024	A	`conf`	Enhancing CTR Prediction through Sequential Recommendation Pre-training: Introducing the SRP4CTR framework. CIKM Ruidong Han, Qianzhong Li, He Jiang, Rui Li, Yurou Zhao, Xiang Li, Wei Lin
2024	A	`conf`	LARR: Large Language Model Aided Real-time Scene Recommendation with Semantic Understanding. RecSys Zhizhong Wan, Bin Yin, Junjie Xie, Fei Jiang, Xiang Li, Wei Lin
2024	J	`jnl`	LARR: Large Language Model Aided Real-time Scene Recommendation with Semantic Understanding. CoRR Zhizhong Wan, Bin Yin, Junjie Xie, Fei Jiang, Xiang Li, Wei Lin
2024	J	`jnl`	PPS: Fair and efficient black-box scheduling for multi-tenant GPU clusters. Parallel Comput. Kaihao Ma, Zhenkun Cai, Xiao Yan, Yang Zhang, Zhi Liu, Yihui Feng, Chao Li, Wei Lin, James Cheng
2024	A*	`conf`	Unified Dual-Intent Translation for Joint Modeling of Search and Recommendation. KDD Yuting Zhang, Yiqing Wu, Ruidong Han, Ying Sun, Yongchun Zhu, Xiang Li, Wei Lin, Fuzhen Zhuang, Zhulin An, Yongjun Xu
2024	J	`jnl`	Unified Dual-Intent Translation for Joint Modeling of Search and Recommendation. CoRR Yuting Zhang, Yiqing Wu, Ruidong Han, Ying Sun, Yongchun Zhu, Xiang Li, Wei Lin, Fuzhen Zhuang, Zhulin An, Yongjun Xu
2023	A*	`conf`	CEC: Towards Learning Global Optimized Recommendation through Causality Enhanced Conversion Model. SIGIR Ran Le, Guoqing Jiang, Xiufeng Shu, Ruidong Han, Qianzhong Li, Yacheng Li, Xiang Li, Wei Lin
2023	A*	`conf`	Dual Intent Enhanced Graph Neural Network for Session-based New Item Recommendation. WWW Di Jin, Luzhi Wang, Yizhen Zheng, Guojie Song, Fei Jiang, Xiang Li, Wei Lin, Shirui Pan
2023	A	`conf`	Heterogeneous Knowledge Fusion: A Novel Approach for Personalized Recommendation via LLM. RecSys Bin Yin, Junjie Xie, Yu Qin, Zixiang Ding, Zhichao Feng, Xiang Li, Wei Lin
2023	A*	`conf`	Interactive Recommendation System for Meituan Waimai. SIGIR Chen Ji, Yacheng Li, Rui Li, Fei Jiang, Xiang Li, Wei Lin, Chenglong Zhang, Wei Wang, Shuyang Wang
2023	A*	`conf`	Modeling Dual Period-Varying Preferences for Takeaway Recommendation. KDD Yuting Zhang, Yiqing Wu, Ran Le, Yongchun Zhu, Fuzhen Zhuang, Ruidong Han, Xiang Li, Wei Lin, Zhulin An, Yongjun Xu
2022	A*	`conf`	CGMN: A Contrastive Graph Matching Network for Self-Supervised Graph Similarity Learning. IJCAI Di Jin, Luzhi Wang, Yizhen Zheng, Xiang Li, Fei Jiang, Wei Lin, Shirui Pan
2022	J	`jnl`	CGMN: A Contrastive Graph Matching Network for Self-Supervised Graph Similarity Learning. CoRR Di Jin, Luzhi Wang, Yizhen Zheng, Xiang Li, Fei Jiang, Wei Lin, Shirui Pan
2022	A*	`conf`	RAW-GNN: RAndom Walk Aggregation based Graph Neural Network. IJCAI Di Jin, Rui Wang, Meng Ge, Dongxiao He, Xiang Li, Wei Lin, Weixiong Zhang
2022	J	`jnl`	RAW-GNN: RAndom Walk Aggregation based Graph Neural Network. CoRR Di Jin, Rui Wang, Meng Ge, Dongxiao He, Xiang Li, Wei Lin, Weixiong Zhang