Shi, Ye

34 publications

ICLRW 2025 A Unified Diffusion Bridge Framework via Stochastic Optimal Control Kaizhen Zhu, Mokai Pan, Yuexin Ma, Yanwei Fu, Jingyi Yu, Jingya Wang, Ye Shi

CVPR 2025 AffordDP: Generalizable Diffusion Policy with Transferable Affordance Shijie Wu, Yihang Zhu, Yunao Huang, Kaizhen Zhu, Jiayuan Gu, Jingyi Yu, Ye Shi, Jingya Wang

NeurIPS 2025 FreqPolicy: Frequency Autoregressive Visuomotor Policy with Continuous Tokens Yiming Zhong, Yumeng Liu, Chuyang Xiao, Zemin Yang, Youzhuo Wang, Yufei Zhu, Ye Shi, Yujing Sun, Xinge Zhu, Yuexin Ma

NeurIPS 2025 GenPO: Generative Diffusion Models Meet On-Policy Reinforcement Learning Shutong Ding, Ke Hu, Shan Zhong, Haoyang Luo, Weinan Zhang, Jingya Wang, Jun Wang, Ye Shi

CVPR 2025 NLPrompt: Noise-Label Prompt Learning for Vision-Language Models Bikang Pan, Qun Li, Xiaoying Tang, Wei Huang, Zhen Fang, Feng Liu, Jingya Wang, Jingyi Yu, Ye Shi

NeurIPS 2025 OpenHOI: Open-World Hand-Object Interaction Synthesis with Multimodal Large Language Model Zhenhao Zhang, Ye Shi, Lingxiao Yang, Suting Ni, Qi Ye, Jingya Wang

CVPR 2025 SeqAfford: Sequential 3D Affordance Reasoning via Multimodal Large Language Model Chunlin Yu, Hanqing Wang, Ye Shi, Haoyang Luo, Sibei Yang, Jingyi Yu, Jingya Wang

ICCV 2025 Towards Immersive Human-X Interaction: A Real-Time Framework for Physically Plausible Motion Synthesis Kaiyang Ji, Ye Shi, Zichen Jin, Kangyi Chen, Lan Xu, Yuexin Ma, Jingyi Yu, Jingya Wang

ICML 2025 UniDB: A Unified Diffusion Bridge Framework via Stochastic Optimal Control Kaizhen Zhu, Mokai Pan, Yuexin Ma, Yanwei Fu, Jingyi Yu, Jingya Wang, Ye Shi

CVPR 2024 A Unified Diffusion Framework for Scene-Aware Human Motion Estimation from Sparse Signals Jiangnan Tang, Jingya Wang, Kaiyang Ji, Lan Xu, Jingyi Yu, Ye Shi

NeurIPS 2024 Diffusion-Based Reinforcement Learning via Q-Weighted Variational Policy Optimization Shutong Ding, Ke Hu, Zhenhao Zhang, Kan Ren, Weinan Zhang, Jingyi Yu, Jingya Wang, Ye Shi

NeurIPS 2024 Federated Learning from Vision-Language Foundation Models: Theoretical Analysis and Method Bikang Pan, Wei Huang, Ye Shi

CVPR 2024 Global and Local Prompts Cooperation via Optimal Transport for Federated Learning Hongxia Li, Wei Huang, Jingya Wang, Ye Shi

ICML 2024 Guidance with Spherical Gaussian Constraint for Conditional Diffusion Lingxiao Yang, Shutong Ding, Yifan Cai, Jingyi Yu, Jingya Wang, Ye Shi

CVPR 2024 HOI-M^3: Capture Multiple Humans and Objects Interaction Within Contextual Environment Juze Zhang, Jingyan Zhang, Zining Song, Zhanhe Shi, Chengfeng Zhao, Ye Shi, Jingyi Yu, Lan Xu, Jingya Wang

ICML 2024 Harmonizing Generalization and Personalization in Federated Prompt Learning Tianyu Cui, Hongxia Li, Jingya Wang, Ye Shi

AAAI 2024 HybridGait: A Benchmark for Spatial-Temporal Cloth-Changing Gait Recognition with Hybrid Explorations Yilan Dong, Chunlin Yu, Ruiyang Ha, Ye Shi, Yuexin Ma, Lan Xu, Yanwei Fu, Jingya Wang

ICLR 2024 Understanding Convergence and Generalization in Federated Learning Through Feature Learning Theory Wei Huang, Ye Shi, Zhongyi Cai, Taiji Suzuki

NeurIPS 2024 Understanding Representation of Deep Equilibrium Models from Neural Collapse Perspective Haixiang Sun, Ye Shi

AAAI 2024 Unsupervised Cross-Domain Image Retrieval via Prototypical Optimal Transport Bin Li, Ye Shi, Qian Yu, Jingya Wang

ICLR 2023 Alternating Differentiation for Optimization Layers Haixiang Sun, Ye Shi, Jingya Wang, Hoang Duong Tuan, H. Vincent Poor, Dacheng Tao

NeurIPS 2023 CSOT: Curriculum and Structure-Aware Optimal Transport for Learning with Noisy Labels Wanxing Chang, Ye Shi, Jingya Wang

NeurIPS 2023 Contextually Affinitive Neighborhood Refinery for Deep Clustering Chunlin Yu, Ye Shi, Jingya Wang

NeurIPS 2023 Fed-CO$_{2}$: Cooperation of Online and Offline Models for Severe Data Heterogeneity in Federated Learning Zhongyi Cai, Ye Shi, Wei Huang, Jingya Wang

AAAI 2023 IKOL: Inverse Kinematics Optimization Layer for 3D Human Pose and Shape Estimation via Gauss-Newton Differentiation Juze Zhang, Ye Shi, Yuexin Ma, Lan Xu, Jingyi Yu, Jingya Wang

ICCV 2023 Knowledge-Aware Federated Active Learning with Non-IID Data Yu-Tong Cao, Ye Shi, Baosheng Yu, Jingya Wang, Dacheng Tao

MLJ 2023 Learning from Crowds with Sparse and Imbalanced Annotations Ye Shi, Shao-Yuan Li, Sheng-Jun Huang

AAAI 2023 Lifelong Person Re-Identification via Knowledge Refreshing and Consolidation Chunlin Yu, Ye Shi, Zimo Liu, Shenghua Gao, Jingya Wang

CVPR 2023 NeuralDome: A Neural Modeling Pipeline on Multi-View Human-Object Interactions Juze Zhang, Haimin Luo, Hongdi Yang, Xinru Xu, Qianyang Wu, Ye Shi, Jingyi Yu, Lan Xu, Jingya Wang

NeurIPS 2023 Reduced Policy Optimization for Continuous Control with Hard Constraints Shutong Ding, Jingya Wang, Yali Du, Ye Shi

IJCAI 2023 StackFLOW: Monocular Human-Object Reconstruction by Stacked Normalizing Flow with Offset Chaofan Huo, Ye Shi, Yuexin Ma, Lan Xu, Jingyi Yu, Jingya Wang

NeurIPS 2023 Two Sides of the Same Coin: Bridging Deep Equilibrium Models and Neural ODEs via Homotopy Continuation Shutong Ding, Tianyu Cui, Jingya Wang, Ye Shi

MLJ 2022 Improving Deep Label Noise Learning with Dual Active Label Correction Shaoyuan Li, Ye Shi, Sheng-Jun Huang, Songcan Chen

NeurIPS 2022 Unified Optimal Transport Framework for Universal Domain Adaptation Wanxing Chang, Ye Shi, Hoang Tuan, Jingya Wang