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ORCIDZesheng Ye
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2020 – today
- 2025
[c9]Chengyi Cai, Zesheng Ye, Lei Feng, Jianzhong Qi, Feng Liu:
Attribute-based Visual Reprogramming for Vision-Language Models. ICLR 2025- [i12]Chengyi Cai, Zesheng Ye, Lei Feng, Jianzhong Qi, Feng Liu:
Attribute-based Visual Reprogramming for Image Classification with CLIP. CoRR abs/2501.13982 (2025) - [i11]Muxing Li, Zesheng Ye, Yixuan Li, Andy Song, Guangquan Zhang, Feng Liu:
Membership Inference Attack Should Move On to Distributional Statistics for Distilled Generative Models. CoRR abs/2502.02970 (2025) - 2024
- [j2]Yao Liu, Zesheng Ye, Rui Wang, Binghao Li
, Quan Z. Sheng, Lina Yao:
Uncertainty-aware pedestrian trajectory prediction via distributional diffusion. Knowl. Based Syst. 296: 111862 (2024) - [j1]Zesheng Ye, Lina Yao, Yu Zhang, Sylvia Gustin:
Self-supervised cross-modal visual retrieval from brain activities. Pattern Recognit. 145: 109915 (2024) - [c8]Chengyi Cai, Zesheng Ye, Lei Feng, Jianzhong Qi, Feng Liu:
Sample-specific Masks for Visual Reprogramming-based Prompting. ICML 2024 - [c7]Chengyi Cai, Zesheng Ye, Lei Feng, Jianzhong Qi, Feng Liu:
Bayesian-guided Label Mapping for Visual Reprogramming. NeurIPS 2024 - [c6]Jing Du, Zesheng Ye, Bin Guo, Zhiwen Yu, Lina Yao:
Identifiability of Cross-Domain Recommendation via Causal Subspace Disentanglement. SIGIR 2024: 2091-2101 - [i10]Jing Du, Zesheng Ye, Bin Guo, Zhiwen Yu, Lina Yao:
Joint Identifiability of Cross-Domain Recommendation via Hierarchical Subspace Disentanglement. CoRR abs/2404.04481 (2024) - [i9]Chengyi Cai, Zesheng Ye, Lei Feng, Jianzhong Qi, Feng Liu:
Sample-specific Masks for Visual Reprogramming-based Prompting. CoRR abs/2406.03150 (2024) - [i8]Chengyi Cai, Zesheng Ye, Lei Feng, Jianzhong Qi, Feng Liu:
Bayesian-guided Label Mapping for Visual Reprogramming. CoRR abs/2410.24018 (2024) - [i7]Jing Du, Zesheng Ye, Bin Guo, Zhiwen Yu, Jia Wu, Jian Yang, Michael Sheng, Lina Yao:
Towards Robust Cross-Domain Recommendation with Joint Identifiability of User Preference. CoRR abs/2411.17361 (2024) - 2023
- [c5]Zesheng Ye, Jing Du, Yao Liu, Yihong Zhang, Lina Yao:
NP-SSL: A Modular and Extensible Self-supervised Learning Library with Neural Processes. CIKM 2023: 5123-5127 - [c4]Jing Du, Zesheng Ye, Bin Guo, Zhiwen Yu, Lina Yao:
Distributional Domain-Invariant Preference Matching for Cross-Domain Recommendation. ICDM 2023: 81-90 - [c3]Jing Du, Zesheng Ye, Bin Guo, Zhiwen Yu, Lina Yao:
IDNP: Interest Dynamics Modeling Using Generative Neural Processes for Sequential Recommendation. WSDM 2023: 481-489 - [i6]Yao Liu, Zesheng Ye, Binghao Li, Lina Yao:
Uncertainty-Aware Pedestrian Trajectory Prediction via Distributional Diffusion. CoRR abs/2303.08367 (2023) - [i5]Zesheng Ye, Jing Du, Lina Yao:
Adversarially Contrastive Estimation of Conditional Neural Processes. CoRR abs/2303.13004 (2023) - [i4]Jing Du, Zesheng Ye, Bin Guo, Zhiwen Yu, Lina Yao:
Distributional Domain-Invariant Preference Matching for Cross-Domain Recommendation. CoRR abs/2309.01343 (2023) - 2022
- [c2]Zesheng Ye, Lina Yao:
Contrastive Conditional Neural Processes. CVPR 2022: 9677-9686 - [c1]Jing Du, Zesheng Ye, Lina Yao, Bin Guo, Zhiwen Yu:
Socially-aware Dual Contrastive Learning for Cold-Start Recommendation. SIGIR 2022: 1927-1932 - [i3]Zesheng Ye, Lina Yao:
Contrastive Conditional Neural Processes. CoRR abs/2203.03978 (2022) - [i2]Zesheng Ye, Lina Yao, Yu Zhang, Sylvia Gustin:
See What You See: Self-supervised Cross-modal Retrieval of Visual Stimuli from Brain Activity. CoRR abs/2208.03666 (2022) - [i1]Jing Du, Zesheng Ye, Lina Yao, Bin Guo, Zhiwen Yu:
IDNP: Interest Dynamics Modeling using Generative Neural Processes for Sequential Recommendation. CoRR abs/2208.04600 (2022)
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