| 2025 | ICLR | Attribute-based Visual Reprogramming for Vision-Language Models. | Chengyi Cai, Zesheng Ye, Lei Feng, Jianzhong Qi, Feng Liu |
| 2025 | ICML | Understanding Model Reprogramming for CLIP via Decoupling Visual Prompts. | Chengyi Cai, Zesheng Ye, Lei Feng, Jianzhong Qi, Feng Liu |
| 2025 | ICML | Sample-specific Noise Injection for Diffusion-based Adversarial Purification. | Yuhao Sun, Jiacheng Zhang, Zesheng Ye, Chaowei Xiao, Feng Liu |
| 2024 | ICML | Sample-specific Masks for Visual Reprogramming-based Prompting. | Chengyi Cai, Zesheng Ye, Lei Feng, Jianzhong Qi, Feng Liu |
| 2024 | SIGIR | Identifiability of Cross-Domain Recommendation via Causal Subspace Disentanglement. | Jing Du, Zesheng Ye, Bin Guo, Zhiwen Yu, Lina Yao |
| 2023 | CIKM | NP-SSL: A Modular and Extensible Self-supervised Learning Library with Neural Processes. | Zesheng Ye, Jing Du, Yao Liu, Yihong Zhang, Lina Yao |
| 2023 | ICDM | Distributional Domain-Invariant Preference Matching for Cross-Domain Recommendation. | Jing Du, Zesheng Ye, Bin Guo, Zhiwen Yu, Lina Yao |
| 2023 | WSDM | IDNP: Interest Dynamics Modeling Using Generative Neural Processes for Sequential Recommendation. | Jing Du, Zesheng Ye, Bin Guo, Zhiwen Yu, Lina Yao |
| 2022 | CVPR | Contrastive Conditional Neural Processes. | Zesheng Ye, Lina Yao |
| 2022 | SIGIR | Socially-aware Dual Contrastive Learning for Cold-Start Recommendation. | Jing Du, Zesheng Ye, Lina Yao, Bin Guo, Zhiwen Yu |