Partial Label Learning via Generative Adversarial Nets. - Yabin Zhang 005; Guang Yang 040; Suyun Zhao; Peng Ni; Hairong Lian; Hong Chen 001; Cuiping Li 001 (ECAI, 2020)

Exploring Binary Classification Hidden within Partial Label Learning. - Hengheng Luo; Yabin Zhang 005; Suyun Zhao; Hong Chen 001; Cuiping Li 001 (IJCAI, 2022)

A Multi-Agent Framework for Recommendation with Heterogeneous Sources. - Yabin Zhang 005; Weiqi Shao; Xu Chen 017; Yali Du 001; Xiaoxiao Xu; Dong Zheng; Changhua Pei; Shuai Zhang; Peng Jiang 002; Kun Gai (IJCNN, 2023)

Inaccurate-Supervised Learning With Generative Adversarial Nets. - Yabin Zhang 005; Hairong Lian; Guang Yang 040; Suyun Zhao; Peng Ni; Hong Chen 001; Cuiping Li 001 (IEEE Trans. Cybern., 2023)

Alleviating Dimensional Collapse Problem in Deep Recommender Models by Designing Uniformity Layers. - Yabin Zhang 005; Jiakai Tang; Xu Chen 017 (DASFAA (3), 2024)

RecGPT. - Yabin Zhang 005; Wenhui Yu; Erhan Zhang; Xu Chen 017; Lantao Hu; Peng Jiang 002; Kun Gai (DASFAA (5), 2024)

RecGPT: Generative Personalized Prompts for Sequential Recommendation via ChatGPT Training Paradigm. - Yabin Zhang 005; Wenhui Yu; Erhan Zhang; Xu Chen 017; Lantao Hu; Peng Jiang 002; Kun Gai (CoRR, 2024)

Soft Contrastive Sequential Recommendation. - Yabin Zhang 005; Zhenlei Wang; Wenhui Yu; Lantao Hu; Peng Jiang 002; Kun Gai; Xu Chen 017 (ACM Trans. Inf. Syst., 2024)