Zesheng Ye - RankMe

32 papers A* 9A 2Journal 21

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Let's Roll a BiFTA: Bi-refinement for Fine-grained Text-visual Alignment in Vision-Language Models. CoRR Yuhao Sun, Chengyi Cai, Jiacheng Zhang, Zesheng Ye, Xingliang Yuan, Feng Liu
2026	J	`jnl`	Let's Roll a BiFTA: Bi-refinement for Fine-grained Text-visual Alignment in Vision-Language Models. Trans. Mach. Learn. Res. Yuhao Sun, Chengyi Cai, Jiacheng Zhang, Zesheng Ye, Xingliang Yuan, Feng Liu
2026	J	`jnl`	Per-parameter Task Arithmetic for Unlearning in Large Language Models. CoRR Chengyi Cai, Zesheng Ye, Jiangchao Yao, Jianzhong Qi, Bo Han, Xiaolu Zhang, Feng Liu, Jun Zhou
2026	J	`jnl`	Visual-Guided Key-Token Regularization for Multimodal Large Language Model Unlearning. CoRR Chengyi Cai, Zesheng Ye, Peike Li, Bo Han, Jianzhong Qi, Feng Liu
2025	J	`jnl`	Attribute-based Visual Reprogramming for Image Classification with CLIP. CoRR Chengyi Cai, Zesheng Ye, Lei Feng, Jianzhong Qi, Feng Liu
2025	A*	`conf`	Attribute-based Visual Reprogramming for Vision-Language Models. ICLR Chengyi Cai, Zesheng Ye, Lei Feng, Jianzhong Qi, Feng Liu
2025	J	`jnl`	Membership Inference Attack Should Move On to Distributional Statistics for Distilled Generative Models. CoRR Muxing Li, Zesheng Ye, Yixuan Li, Andy Song, Guangquan Zhang, Feng Liu
2025	J	`jnl`	Neural Network Reprogrammability: A Unified Theme on Model Reprogramming, Prompt Tuning, and Prompt Instruction. CoRR Zesheng Ye, Chengyi Cai, Ruijiang Dong, Jianzhong Qi, Lei Feng, Pin-Yu Chen, Feng Liu
2025	J	`jnl`	Sample-Specific Noise Injection For Diffusion-Based Adversarial Purification. CoRR Yuhao Sun, Jiacheng Zhang, Zesheng Ye, Chaowei Xiao, Feng Liu
2025	A*	`conf`	Sample-specific Noise Injection for Diffusion-based Adversarial Purification. ICML Yuhao Sun, Jiacheng Zhang, Zesheng Ye, Chaowei Xiao, Feng Liu
2025	A*	`conf`	Understanding Model Reprogramming for CLIP via Decoupling Visual Prompts. ICML Chengyi Cai, Zesheng Ye, Lei Feng, Jianzhong Qi, Feng Liu
2025	J	`jnl`	Understanding Model Reprogramming for CLIP via Decoupling Visual Prompts. CoRR Chengyi Cai, Zesheng Ye, Lei Feng, Jianzhong Qi, Feng Liu
2024	A*	`conf`	Bayesian-guided Label Mapping for Visual Reprogramming. NeurIPS Chengyi Cai, Zesheng Ye, Lei Feng, Jianzhong Qi, Feng Liu
2024	J	`jnl`	Bayesian-guided Label Mapping for Visual Reprogramming. CoRR Chengyi Cai, Zesheng Ye, Lei Feng, Jianzhong Qi, Feng Liu
2024	A*	`conf`	Identifiability of Cross-Domain Recommendation via Causal Subspace Disentanglement. SIGIR Jing Du, Zesheng Ye, Bin Guo, Zhiwen Yu, Lina Yao
2024	J	`jnl`	Joint Identifiability of Cross-Domain Recommendation via Hierarchical Subspace Disentanglement. CoRR Jing Du, Zesheng Ye, Bin Guo, Zhiwen Yu, Lina Yao
2024	A*	`conf`	Sample-specific Masks for Visual Reprogramming-based Prompting. ICML Chengyi Cai, Zesheng Ye, Lei Feng, Jianzhong Qi, Feng Liu
2024	J	`jnl`	Sample-specific Masks for Visual Reprogramming-based Prompting. CoRR Chengyi Cai, Zesheng Ye, Lei Feng, Jianzhong Qi, Feng Liu
2024	J	`jnl`	Self-supervised cross-modal visual retrieval from brain activities. Pattern Recognit. Zesheng Ye, Lina Yao, Yu Zhang, Sylvia Gustin
2024	J	`jnl`	Towards Robust Cross-Domain Recommendation with Joint Identifiability of User Preference. CoRR Jing Du, Zesheng Ye, Bin Guo, Zhiwen Yu, Jia Wu, Jian Yang, Michael Sheng, Lina Yao
2024	J	`jnl`	Uncertainty-aware pedestrian trajectory prediction via distributional diffusion. Knowl. Based Syst. Yao Liu, Zesheng Ye, Rui Wang, Binghao Li, Quan Z. Sheng, Lina Yao
2023	J	`jnl`	Adversarially Contrastive Estimation of Conditional Neural Processes. CoRR Zesheng Ye, Jing Du, Lina Yao
2023	A*	`conf`	Distributional Domain-Invariant Preference Matching for Cross-Domain Recommendation. ICDM Jing Du, Zesheng Ye, Bin Guo, Zhiwen Yu, Lina Yao
2023	J	`jnl`	Distributional Domain-Invariant Preference Matching for Cross-Domain Recommendation. CoRR Jing Du, Zesheng Ye, Bin Guo, Zhiwen Yu, Lina Yao
2023	A	`conf`	IDNP: Interest Dynamics Modeling Using Generative Neural Processes for Sequential Recommendation. WSDM Jing Du, Zesheng Ye, Bin Guo, Zhiwen Yu, Lina Yao
2023	A	`conf`	NP-SSL: A Modular and Extensible Self-supervised Learning Library with Neural Processes. CIKM Zesheng Ye, Jing Du, Yao Liu, Yihong Zhang, Lina Yao
2023	J	`jnl`	Uncertainty-Aware Pedestrian Trajectory Prediction via Distributional Diffusion. CoRR Yao Liu, Zesheng Ye, Binghao Li, Lina Yao
2022	A*	`conf`	Contrastive Conditional Neural Processes. CVPR Zesheng Ye, Lina Yao
2022	J	`jnl`	Contrastive Conditional Neural Processes. CoRR Zesheng Ye, Lina Yao
2022	J	`jnl`	IDNP: Interest Dynamics Modeling using Generative Neural Processes for Sequential Recommendation. CoRR Jing Du, Zesheng Ye, Lina Yao, Bin Guo, Zhiwen Yu
2022	J	`jnl`	See What You See: Self-supervised Cross-modal Retrieval of Visual Stimuli from Brain Activity. CoRR Zesheng Ye, Lina Yao, Yu Zhang, Sylvia Gustin
2022	A*	`conf`	Socially-aware Dual Contrastive Learning for Cold-Start Recommendation. SIGIR Jing Du, Zesheng Ye, Lina Yao, Bin Guo, Zhiwen Yu