Ye Shi
29 papers · 2022–2026 · 7 conferences · across top CS/AI conferences
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Conferences
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CVPR (7)
AAAI (5)
ICML (3)
ICCV (2)
ICLR (2)
IJCAI (1)
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Research topics
Keywords
optimal transport
(5)
federated learning
(4)
feature learning
(3)
human-object interaction
(3)
pose estimation
(3)
prompt learning
(3)
data heterogeneity
(2)
deep equilibrium model
(2)
vision-language model
(2)
3d reconstruction
(2)
continuous control
(2)
diffusion model
(2)
reinforcement learning
(2)
policy optimization
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3d vision
(2)
image retrieval
(2)
knowledge transfer
(2)
scene understanding
(2)
knowledge distillation
(2)
diffusion policy
(2)
Papers
One-Step Generative Policies with Q-Learning: A Reformulation of MeanFlow
AAAI 2026
UniDB: A Unified Diffusion Bridge Framework via Stochastic Optimal Control
ICML 2025
Towards Immersive Human-X Interaction: A Real-Time Framework for Physically Plausible Motion Synthesis
ICCV 2025
NLPrompt: Noise-Label Prompt Learning for Vision-Language Models
CVPR 2025
SeqAfford: Sequential 3D Affordance Reasoning via Multimodal Large Language Model
CVPR 2025
AffordDP: Generalizable Diffusion Policy with Transferable Affordance
CVPR 2025
HOI-M^3: Capture Multiple Humans and Objects Interaction within Contextual Environment
CVPR 2024
Understanding Representation of Deep Equilibrium Models from Neural Collapse Perspective
NIPS 2024
Federated Learning from Vision-Language Foundation Models: Theoretical Analysis and Method
NIPS 2024
Diffusion-based Reinforcement Learning via Q-weighted Variational Policy Optimization
NIPS 2024
HybridGait: A Benchmark for Spatial-Temporal Cloth-Changing Gait Recognition with Hybrid Explorations
AAAI 2024
Unsupervised Cross-Domain Image Retrieval via Prototypical Optimal Transport
AAAI 2024
A Unified Diffusion Framework for Scene-aware Human Motion Estimation from Sparse Signals
CVPR 2024
Global and Local Prompts Cooperation via Optimal Transport for Federated Learning
CVPR 2024
Understanding Convergence and Generalization in Federated Learning through Feature Learning Theory
ICLR 2024
Harmonizing Generalization and Personalization in Federated Prompt Learning
ICML 2024
Guidance with Spherical Gaussian Constraint for Conditional Diffusion
ICML 2024
Contextually Affinitive Neighborhood Refinery for Deep Clustering
NIPS 2023
Reduced Policy Optimization for Continuous Control with Hard Constraints
NIPS 2023
Two Sides of The Same Coin: Bridging Deep Equilibrium Models and Neural ODEs via Homotopy Continuation
NIPS 2023
Knowledge-Aware Federated Active Learning with Non-IID Data
ICCV 2023
Fed-CO$_{2}$: Cooperation of Online and Offline Models for Severe Data Heterogeneity in Federated Learning
NIPS 2023
IKOL: Inverse Kinematics Optimization Layer for 3D Human Pose and Shape Estimation via Gauss-Newton Differentiation
AAAI 2023
Alternating Differentiation for Optimization Layers
ICLR 2023
CSOT: Curriculum and Structure-Aware Optimal Transport for Learning with Noisy Labels
NIPS 2023
NeuralDome: A Neural Modeling Pipeline on Multi-View Human-Object Interactions
CVPR 2023
Lifelong Person Re-identification via Knowledge Refreshing and Consolidation
AAAI 2023
StackFLOW: Monocular Human-Object Reconstruction by Stacked Normalizing Flow with Offset
IJCAI 2023
Unified Optimal Transport Framework for Universal Domain Adaptation
NIPS 2022