Yongxiang Tang

2025

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Distribution-Guided Auto-Encoder for User Multimodal Interest Cross Fusion.
Moyu Zhang|Yongxiang Tang|Yujun Jin|Jinxin Hu|Yu Zhang
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025
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S-Diff: An Anisotropic Diffusion Model for Collaborative Filtering in Spectral Domain.
Rui Xia|Yanhua Cheng|Yongxiang Tang|Xiaocheng Liu|Xialong Liu|Lisong Wang|Peng Jiang
Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, WSDM 2025, Hannover, Germany, March 10-14, 2025
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Optimal Return-to-Go Guided Decision Transformer for Auto-Bidding in Advertisement.
Hao Jiang|Yongxiang Tang|Yanxiang Zeng|Pengjia Yuan|Yanhua Cheng|Teng Sha|Xialong Liu|Peng Jiang
Companion Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025 - 2 May 2025
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Reward Balancing Revisited: Enhancing Offline Reinforcement Learning for Recommender Systems.
Wenzheng Shu|Yanxiang Zeng|Yongxiang Tang|Teng Sha|Ning Luo|Yanhua Cheng|Xialong Liu|Fan Zhou|Peng Jiang
Companion Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025 - 2 May 2025

2024

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Scenario-Adaptive Fine-Grained Personalization Network: Tailoring User Behavior Representation to the Scenario Context.
Moyu Zhang|Yongxiang Tang|Jinxin Hu|Yu Zhang
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA, July 14-18, 2024

2022

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CROLoss: Towards a Customizable Loss for Retrieval Models in Recommender Systems.
Yongxiang Tang|Wentao Bai|Guilin Li|Xialong Liu|Yu Zhang
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022