Lin Wang

2025

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HORAE: Temporal Multi-Interest Pre-training for Sequential Recommendation.
Shirui Hu|Weichang Wu|Zuoli Tang|Zhaoxin Huan|Lin Wang|Xiaolu Zhang|Jun Zhou|Lixin Zou|Chenliang Li
ACM Transactions on Information Systems (TOIS) 2025 Volume 43 Issue 4

2023

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G-Meta: Distributed Meta Learning in GPU Clusters for Large-Scale Recommender Systems.
Youshao Xiao|Shangchun Zhao|Zhenglei Zhou|Zhaoxin Huan|Lin Ju|Xiaolu Zhang|Lin Wang|Jun Zhou
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023
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Towards Multi-Interest Pre-training with Sparse Capsule Network.
Zuoli Tang|Lin Wang|Lixin Zou|Xiaolu Zhang|Jun Zhou|Chenliang Li
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023
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DistriBayes: A Distributed Platform for Learning, Inference and Attribution on Large Scale Bayesian Network.
Yi Ding|Jun Zhou|Qing Cui|Lin Wang|Mengqi Zhang|Yang Dong
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, WSDM 2023, Singapore, 27 February 2023 - 3 March 2023.
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ElasticDL: A Kubernetes-native Deep Learning Framework with Fault-tolerance and Elastic Scheduling.
Jun Zhou|Ke Zhang|Feng Zhu|Qitao Shi|Wenjing Fang|Lin Wang|Yi Wang
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, WSDM 2023, Singapore, 27 February 2023 - 3 March 2023.