Han Yang
29 papers · 2020–2026 · 10 conferences · across top CS/AI conferences
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ICLR (7)
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NIPS (2)
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ICCV (1)
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Keywords
semantic segmentation
(4)
knowledge distillation
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image synthesis
(2)
neural network
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semi-supervised learning
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transfer learning
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multilingual machine translation
(2)
machine translation
(2)
graph neural network
(2)
image generation
(2)
diffusion model
(2)
virtual try-on
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pose estimation
(1)
zero-shot learning
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graph laplacian
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domain generalization
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reinforcement learning
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transformer architecture
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self-supervised learning
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adversarial robustness
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Papers
Authority Backdoor: A Certifiable Backdoor Mechanism for Authoring DNNs
AAAI 2026
Verifiable LLM-Generated Text Detection via Projected Semantic-Structural Distributions
ACL 2026
HSRDiff: A Hierarchical Self-Regulation Diffusion Model for Stochastic Semantic Segmentation
AAAI 2025
Multi-Teacher Knowledge Distillation with Reinforcement Learning for Visual Recognition
AAAI 2025
UniMuMo: Unified Text, Music, and Motion Generation
AAAI 2025
Cross Image Feature Perturbation with Pseudo Label Fusion for Semi-Supervised Medical Image Segmentation
WACV 2025
Efficient and Scalable Density Functional Theory Hamiltonian Prediction through Adaptive Sparsity
ICML 2025
Multi-party Collaborative Attention Control for Image Customization
CVPR 2025
3D-Mem: 3D Scene Memory for Embodied Exploration and Reasoning
CVPR 2025
Prototype antithesis for biological few-shot class-incremental learning
ICLR 2025
Enhancing the Scalability and Applicability of Kohn-Sham Hamiltonians for Molecular Systems
ICLR 2025
GNNCert: Deterministic Certification of Graph Neural Networks against Adversarial Perturbations
ICLR 2024
CLIP-KD: An Empirical Study of CLIP Model Distillation
CVPR 2024
Training-free Multi-objective Diffusion Model for 3D Molecule Generation
ICLR 2024
Long-Short-Range Message-Passing: A Physics-Informed Framework to Capture Non-Local Interaction for Scalable Molecular Dynamics Simulation
ICLR 2024
SILT: Shadow-Aware Iterative Label Tuning for Learning to Detect Shadows from Noisy Labels
ICCV 2023
Babyβs CoThought: Leveraging Large Language Models for Enhanced Reasoning in Compact Models
EMNLP 2023
Pareto Invariant Risk Minimization: Towards Mitigating the Optimization Dilemma in Out-of-Distribution Generalization
ICLR 2023
Babyβs CoThought: Leveraging Large Language Models for Enhanced Reasoning in Compact Models
CONLL 2023
Exact Shape Correspondence via 2D graph convolution
NIPS 2022
Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs
NIPS 2022
Full-Range Virtual Try-On With Recurrent Tri-Level Transform
CVPR 2022
Understanding and Improving Graph Injection Attack by Promoting Unnoticeability
ICLR 2022
TenTrans Large-Scale Multilingual Machine Translation System for WMT21
EMNLP 2021
TenTrans Multilingual Low-Resource Translation System for WMT21 Indo-European Languages Task
EMNLP 2021
Disentangled Cycle Consistency for Highly-Realistic Virtual Try-On
CVPR 2021
Rethinking Graph Regularization for Graph Neural Networks
AAAI 2021
Towards Photo-Realistic Virtual Try-On by Adaptively Generating-Preserving Image Content
CVPR 2020
CPR-GCN: Conditional Partial-Residual Graph Convolutional Network in Automated Anatomical Labeling of Coronary Arteries
CVPR 2020