Yu Zhang

2026

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

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

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

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

HeterRec: Heterogeneous Information Transformer for Scalable Sequential Recommendation.

Hao Deng|Haibo Xing|Kanefumi Matsuyama|Yulei Huang|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

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

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

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

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

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