Hanwen Du

2025

doi dblp
Teach Me How to Denoise: A Universal Framework for Denoising Multi-modal Recommender Systems via Guided Calibration.
Hongji Li|Hanwen Du|Youhua Li|Junchen Fu|Chunxiao Li|Ziyi Zhuang|Jiakang Li|Yongxin Ni
Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, WSDM 2025, Hannover, Germany, March 10-14, 2025
doi dblp
Bridging the Gap: Teacher-Assisted Wasserstein Knowledge Distillation for Efficient Multi-Modal Recommendation.
Ziyi Zhuang|Hanwen Du|Hui Han|Youhua Li|Junchen Fu|Joemon M. Jose|Yongxin Ni
Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025- 2 May 2025

2023

doi dblp
Ensemble Modeling with Contrastive Knowledge Distillation for Sequential Recommendation.
Hanwen Du|Huanhuan Yuan|Pengpeng Zhao|Fuzhen Zhuang|Guanfeng Liu|Lei Zhao|Yanchi Liu|Victor S. Sheng
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023

2022

doi dblp
Contrastive Learning with Bidirectional Transformers for Sequential Recommendation.
Hanwen Du|Hui Shi|Pengpeng Zhao|Deqing Wang|Victor S. Sheng|Yanchi Liu|Guanfeng Liu|Lei Zhao
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022