Zesheng Ye

According to our database, Zesheng Ye authored at least 26 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

User-Aware Conditional Generative Total Correlation Learning for Multi-Modal Recommendation.

Jing Du, Zesheng Ye, Congbo Ma, Feng Liu, Flora. D. Salim

CoRR, April, 2026

Combating Data Laundering in LLM Training.

Muxing Li, Zesheng Ye, Sharon Li, Feng Liu

CoRR, April, 2026

Per-parameter Task Arithmetic for Unlearning in Large Language Models.

Chengyi Cai, Zesheng Ye, Jiangchao Yao, Jianzhong Qi, Bo Han, Xiaolu Zhang, Feng Liu, Jun Zhou

CoRR, January, 2026

Visual-Guided Key-Token Regularization for Multimodal Large Language Model Unlearning.

Chengyi Cai, Zesheng Ye, Peike Li, Bo Han, Jianzhong Qi, Feng Liu

CoRR, January, 2026

Let's Roll a BiFTA: Bi-refinement for Fine-grained Text-visual Alignment in Vision-Language Models.

Yuhao Sun, Chengyi Cai, Jiacheng Zhang, Zesheng Ye, Xingliang Yuan, Feng Liu

Trans. Mach. Learn. Res., 2026

2025

Neural Network Reprogrammability: A Unified Theme on Model Reprogramming, Prompt Tuning, and Prompt Instruction.

Zesheng Ye, Chengyi Cai, Ruijiang Dong, Jianzhong Qi, Lei Feng, Pin-Yu Chen, Feng Liu

CoRR, June, 2025

Membership Inference Attack Should Move On to Distributional Statistics for Distilled Generative Models.

Muxing Li, Zesheng Ye, Yixuan Li, Andy Song, Guangquan Zhang, Feng Liu

CoRR, February, 2025

Attribute-based Visual Reprogramming for Image Classification with CLIP.

Chengyi Cai, Zesheng Ye, Lei Feng, Jianzhong Qi, Feng Liu

CoRR, January, 2025

Sample-specific Noise Injection for Diffusion-based Adversarial Purification.

Yuhao Sun, Jiacheng Zhang, Zesheng Ye, Chaowei Xiao, Feng Liu

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Understanding Model Reprogramming for CLIP via Decoupling Visual Prompts.

Chengyi Cai, Zesheng Ye, Lei Feng, Jianzhong Qi, Feng Liu

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Attribute-based Visual Reprogramming for Vision-Language Models.

Chengyi Cai, Zesheng Ye, Lei Feng, Jianzhong Qi, Feng Liu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Self-supervised cross-modal visual retrieval from brain activities.

Zesheng Ye, Lina Yao, Yu Zhang, Sylvia Gustin

Pattern Recognit., January, 2024

Uncertainty-aware pedestrian trajectory prediction via distributional diffusion.

Yao Liu, Zesheng Ye, Rui Wang, Binghao Li, Quan Z. Sheng, Lina Yao

Knowl. Based Syst., 2024

Towards Robust Cross-Domain Recommendation with Joint Identifiability of User Preference.

Jing Du, Zesheng Ye, Bin Guo, Zhiwen Yu, Jia Wu, Jian Yang, Michael Sheng, Lina Yao

CoRR, 2024

Joint Identifiability of Cross-Domain Recommendation via Hierarchical Subspace Disentanglement.

Jing Du, Zesheng Ye, Bin Guo, Zhiwen Yu, Lina Yao

CoRR, 2024

Identifiability of Cross-Domain Recommendation via Causal Subspace Disentanglement.

Jing Du, Zesheng Ye, Bin Guo, Zhiwen Yu, Lina Yao

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Bayesian-guided Label Mapping for Visual Reprogramming.

Chengyi Cai, Zesheng Ye, Lei Feng, Jianzhong Qi, Feng Liu

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Sample-specific Masks for Visual Reprogramming-based Prompting.

Chengyi Cai, Zesheng Ye, Lei Feng, Jianzhong Qi, Feng Liu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Adversarially Contrastive Estimation of Conditional Neural Processes.

Zesheng Ye, Jing Du, Lina Yao

CoRR, 2023

Uncertainty-Aware Pedestrian Trajectory Prediction via Distributional Diffusion.

Yao Liu, Zesheng Ye, Binghao Li, Lina Yao

CoRR, 2023

IDNP: Interest Dynamics Modeling Using Generative Neural Processes for Sequential Recommendation.

Jing Du, Zesheng Ye, Bin Guo, Zhiwen Yu, Lina Yao

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Distributional Domain-Invariant Preference Matching for Cross-Domain Recommendation.

Jing Du, Zesheng Ye, Bin Guo, Zhiwen Yu, Lina Yao

Proceedings of the IEEE International Conference on Data Mining, 2023

NP-SSL: A Modular and Extensible Self-supervised Learning Library with Neural Processes.

Zesheng Ye, Jing Du, Yao Liu, Yihong Zhang, Lina Yao

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

See What You See: Self-supervised Cross-modal Retrieval of Visual Stimuli from Brain Activity.

Zesheng Ye, Lina Yao, Yu Zhang, Sylvia Gustin

CoRR, 2022

Socially-aware Dual Contrastive Learning for Cold-Start Recommendation.

Jing Du, Zesheng Ye, Lina Yao, Bin Guo, Zhiwen Yu

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Contrastive Conditional Neural Processes.

Zesheng Ye, Lina Yao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022