Yu Zhang

2026

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RCLRec: Reverse Curriculum Learning for Modeling Sparse Conversions in Generative Recommendation.
Xiaoyi Zeng|Marcia J. Bates|Pushpak Bhattacharyya|Yulei Huang|Zulong Chen|Jimmy Lin|Hao Deng|Dmitry Lagun|Pushpak Bhattacharyya|Yulei Huang|Haibo Xing|Zengxuan Wen|Yu Zhang|Jinxin Hu|Anton Polishko|Chuanfei Xu|Zulong Chen|Jimmy Lin|Zengxuan Wen|Yu Zhang|Xiaoyi Zeng|Marcia J. Bates|Jinxin Hu|Anton Polishko
Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2026, MelbourneVICAustralia, July 20-24, 2026
doi dblp
LWGR: Lagrangian-Constrained Personalized World Knowledge for Generative Recommendation.
Haibo Xing|Deng Cai|Yu Zhang|Frans van der Sluis|Kaican Lin|Lingyu Mu|Gang Luo|Betsy van Dijk|Zhitong Zhu|Hao Deng|Egon L. van den Broek|Zhengxiao Liu|Gang Luo|Jinxin Hu|Ji-Rong Wen|Haibo Xing|Kaican Lin|Frans van der Sluis|Betsy van Dijk|Zhitong Zhu|Egon L. van den Broek|Zhengxiao Liu|Zheng Lin|Xiaoyi Zeng|Yu Zhang|Deng Cai|Jinxin Hu|Ji-Rong Wen
Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2026, MelbourneVICAustralia, July 20-24, 2026
doi dblp
MMQ: Multimodal Mixture-of-Quantization Tokenization for Semantic ID Generation and User Behavioral Adaptation.
Yi Xu|Moyu Zhang|Chenxuan Li|Zhihao Liao|Haibo Xing|Hao Deng|Jinxin Hu|Yu Zhang|Xiaoyi Zeng|Jing Zhang
Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, WSDM 2026, Boise, ID, USA, February 22-26, 2026
doi dblp
Infer As You Train: A Symmetric Paradigm of Masked Generative for Click-Through Rate Prediction.
Moyu Zhang|Yujun Jin|Yun Chen|Jinxin Hu|Yu Zhang|Xiaoyi Zeng
Proceedings of the ACM Web Conference 2026, WWW 2026, Dubai, United Arab Emirates, originally scheduled for April 13-17, 2026, rescheduled for June 29 - July 3, 2026.

2025

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Global-Distribution Aware Scenario-Specific Variational Representation Learning Framework.
Moyu Zhang|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
doi dblp
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
doi dblp
HeterRec: Heterogeneous Information Transformer for Scalable Sequential Recommendation.
Kaitao Lin|Hao Deng|Yulei Huang|Haibo Xing|Kanefumi Matsuyama|Yulei Huang|Kaitao Lin|Jinxin Hu|Hong Wen|Jia Xu|Zulong Chen|Yu Zhang|Xiaoyi Zeng|Jing Zhang
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025
doi dblp
CSMF: Cascaded Selective Mask Fine-Tuning for Multi-Objective Embedding-Based Retrieval.
Hao Deng|Haibo Xing|Kanefumi Matsuyama|Moyu Zhang|Jinxin Hu|Hong Wen|Yu Zhang|Xiaoyi Zeng|Jing Zhang
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025
doi dblp
LREA: Low-Rank Efficient Attention on Modeling Long-Term User Behaviors for CTR Prediction.
Xin Song|Xiaochen Li|Jinxin Hu|Hong Wen|Zulong Chen|Yu Zhang|Xiaoyi Zeng|Jing Zhang
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025
doi dblp
ESANS: Effective and Semantic-Aware Negative Sampling for Large-Scale Retrieval Systems.
Haibo Xing|Kanefumi Matsuyama|Hao Deng|Jinxin Hu|Yu Zhang|Xiaoyi Zeng
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.
Seongtae Hong|Moyu Zhang|Yongxiang Tang|Hyeonseok Moon|Seongtae Hong|Moyu Zhang|Hyeonseok Moon|Yongxiang Tang|Heuiseok Lim|Jinxin Hu|Heuiseok Lim|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

doi dblp
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