Wei Lin

According to our database, Wei Lin authored at least 27 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

MTServe: Efficient Serving for Generative Recommendation Models with Hierarchical Caches.

Xin Wang, Chi Ma, Shaobin Chen, Pu Wang, Menglei Zhou, Junyi Qiu, Qiaorui Chen, Jiayu Sun, Shijie Liu, Zehuan Wang, Lei Yu, Chuan Liu, Fei Jiang, Wei Lin, Hao Wang, Jiawei Jiang, Xiao Yan

CoRR, April, 2026

CAT-ID²: Category-Tree Integrated Document Identifier Learning for Generative Retrieval In E-commerce.

Xiaoyu Liu, Fuwei Zhang, Yiqing Wu, Xinyu Jia, Zenghua Xia, Fuzhen Zhuang, Zhao Zhang, Fei Jiang, Wei Lin

Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, 2026

MTGenRec: An Efficient Distributed Training System for Generative Recommendation Models in Meituan.

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

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

Beyond Persuasiveness: A User-Centric Evaluation Framework of Explanations for Food Recommendation.

Yurou Zhao, Yiding Sun, Ruidong Han, Fei Jiang, Wei Lin, Jiaxin Mao

Proceedings of the Advances in Information Retrieval, 2026

2025

Bi-Level Decision-Focused Causal Learning for Large-Scale Marketing Optimization: Bridging Observational and Experimental Data.

Shuli Zhang, Hao Zhou, Jiaqi Zheng, Guibin Jiang, Bing Cheng, Wei Lin, Guihai Chen

CoRR, October, 2025

MTGRBoost: Boosting Large-scale Generative Recommendation Models in Meituan.

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

CoRR, May, 2025

Adapting LLMs for Personalized Evaluation of Explanations for Recommendations: A Meta-Learning Approach based on MAML.

Yurou Zhao, Yingfei Zhang, Quan Zhou, Shuang Zhang, Wei Lin, Jiaxin Mao

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

A Soft-partitioned Semi-supervised Collaborative Transfer Learning Approach for Multi-Domain Recommendation.

Xiaoyu Liu, Yiqing Wu, Ruidong Han, Fuzhen Zhuang, Xiang Li, Wei Lin

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

MTGR: Industrial-Scale Generative Recommendation Framework in Meituan.

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

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

Multi-level Relevance Document Identifier Learning for Generative Retrieval.

Fuwei Zhang, Xiaoyu Liu, Xinyu Jia, Yingfei Zhang, Shuai Zhang, Xiang Li, Fuzhen Zhuang, Wei Lin, Zhao Zhang

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

HierGR: Hierarchical Semantic Representation Enhancement for Generative Retrieval in Food Delivery Search.

Fuwei Zhang, Xiaoyu Liu, Xinyu Jia, Yingfei Zhang, Zenghua Xia, Fei Jiang, Fuzhen Zhuang, Wei Lin, Zhao Zhang

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 6: Industry Track), 2025

2024

PPS: Fair and efficient black-box scheduling for multi-tenant GPU clusters.

Kaihao Ma, Zhenkun Cai, Xiao Yan, Yang Zhang, Zhi Liu, Yihui Feng, Chao Li, Wei Lin, James Cheng

Parallel Comput., 2024

Aligning Explanations for Recommendation with Rating and Feature via Maximizing Mutual Information.

Yurou Zhao, Yiding Sun, Ruidong Han, Fei Jiang, Lu Guan, Xiang Li, Wei Lin, Jiaxin Mao

CoRR, 2024

Don't Half-listen: Capturing Key-part Information in Continual Instruction Tuning.

Yongquan He, Xuancheng Huang, Minghao Tang, Lingxun Meng, Xiang Li, Wei Lin, Wenyuan Zhang, Yifu Gao

CoRR, 2024

Context-based Fast Recommendation Strategy for Long User Behavior Sequence in Meituan Waimai.

Zhichao Feng, Junjie Xie, Kaiyuan Li, Yu Qin, Pengfei Wang, Qianzhong Li, Bin Yin, Xiang Li, Wei Lin, Shangguang Wang

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

LARR: Large Language Model Aided Real-time Scene Recommendation with Semantic Understanding.

Zhizhong Wan, Bin Yin, Junjie Xie, Fei Jiang, Xiang Li, Wei Lin

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Decision Focused Causal Learning for Direct Counterfactual Marketing Optimization.

Hao Zhou, Rongxiao Huang, Shaoming Li, Guibin Jiang, Jiaqi Zheng, Bing Cheng, Wei Lin

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Unified Dual-Intent Translation for Joint Modeling of Search and Recommendation.

Yuting Zhang, Yiqing Wu, Ruidong Han, Ying Sun, Yongchun Zhu, Xiang Li, Wei Lin, Fuzhen Zhuang, Zhulin An, Yongjun Xu

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Aligning Explanations for Recommendation with Rating and Feature via Maximizing Mutual Information.

Yurou Zhao, Yiding Sun, Ruidong Han, Fei Jiang, Lu Guan, Xiang Li, Wei Lin, Weizhi Ma, Jiaxin Mao

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Enhancing CTR Prediction through Sequential Recommendation Pre-training: Introducing the SRP4CTR framework.

Ruidong Han, Qianzhong Li, He Jiang, Rui Li, Yurou Zhao, Xiang Li, Wei Lin

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Dual Intent Enhanced Graph Neural Network for Session-based New Item Recommendation.

Di Jin, Luzhi Wang, Yizhen Zheng, Guojie Song, Fei Jiang, Xiang Li, Wei Lin, Shirui Pan

Proceedings of the ACM Web Conference 2023, 2023

CEC: Towards Learning Global Optimized Recommendation through Causality Enhanced Conversion Model.

Ran Le, Guoqing Jiang, Xiufeng Shu, Ruidong Han, Qianzhong Li, Yacheng Li, Xiang Li, Wei Lin

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Interactive Recommendation System for Meituan Waimai.

Chen Ji, Yacheng Li, Rui Li, Fei Jiang, Xiang Li, Wei Lin, Chenglong Zhang, Wei Wang, Shuyang Wang

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Heterogeneous Knowledge Fusion: A Novel Approach for Personalized Recommendation via LLM.

Bin Yin, Junjie Xie, Yu Qin, Zixiang Ding, Zhichao Feng, Xiang Li, Wei Lin

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Modeling Dual Period-Varying Preferences for Takeaway Recommendation.

Yuting Zhang, Yiqing Wu, Ran Le, Yongchun Zhu, Fuzhen Zhuang, Ruidong Han, Xiang Li, Wei Lin, Zhulin An, Yongjun Xu

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022

CGMN: A Contrastive Graph Matching Network for Self-Supervised Graph Similarity Learning.

Di Jin, Luzhi Wang, Yizhen Zheng, Xiang Li, Fei Jiang, Wei Lin, Shirui Pan

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

RAW-GNN: RAndom Walk Aggregation based Graph Neural Network.

Di Jin, Rui Wang, Meng Ge, Dongxiao He, Xiang Li, Wei Lin, Weixiong Zhang

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022