Wang, Kai
145 publications
NeurIPS
2025
Covariances for Free: Exploiting Mean Distributions for Training-Free Federated Learning
IJCAI
2025
ElaD-Net: An Elastic Semantic Decoupling Network for Lesion Segmentation in Breast Ultrasound Images
NeurIPS
2025
LeMiCa: Lexicographic Minimax Path Caching for Efficient Diffusion-Based Video Generation
ICLR
2025
One-Prompt-One-Story: Free-Lunch Consistent Text-to-Image Generation Using a Single Prompt
CVPR
2025
One-Way Ticket: Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models
NeurIPS
2025
REPA Works Until It Doesn’t: Early-Stopped, Holistic Alignment Supercharges Diffusion Training
NeurIPS
2025
StarTrail: Concentric Ring Sequence Parallelism for Efficient Near-Infinite-Context Transformer Model Training
IJCAI
2025
Time-Frequency Disentanglement Boosted Pre-Training: A Universal Spatio-Temporal Modeling Framework
NeurIPS
2025
Towards Graph Foundation Models: Training on Knowledge Graphs Enables Transferability to General Graphs
NeurIPSW
2024
AV-DiT: Efficient Audio-Visual Diffusion Transformer for Joint Audio and Video Generation
ECCV
2024
ColorPeel: Color Prompt Learning with Diffusion Models via Color and Shape Disentanglement
NeurIPS
2024
GDeR: Safeguarding Efficiency, Balancing, and Robustness via Prototypical Graph Pruning
ICML
2024
Two Heads Are Better than One: Boosting Graph Sparse Training via Semantic and Topological Awareness
ICLR
2023
Divide to Adapt: Mitigating Confirmation Bias for Domain Adaptation of Black-Box Predictors
NeurIPS
2023
Dynamic Prompt Learning: Addressing Cross-Attention Leakage for Text-Based Image Editing
NeurIPS
2023
PRIOR: Personalized Prior for Reactivating the Information Overlooked in Federated Learning.
AAAI
2022
Coordinating Followers to Reach Better Equilibria: End-to-End Gradient Descent for Stackelberg Games
NeurIPS
2022
Decision-Focused Learning Without Decision-Making: Learning Locally Optimized Decision Losses
CVPRW
2022
Incremental Meta-Learning via Episodic Replay Distillation for Few-Shot Image Recognition
NeurIPS
2021
Labeling Trick: A Theory of Using Graph Neural Networks for Multi-Node Representation Learning
NeurIPS
2021
Learning MDPs from Features: Predict-Then-Optimize for Sequential Decision Making by Reinforcement Learning
IJCAI
2021
Neighborhood Intervention Consistency: Measuring Confidence for Knowledge Graph Link Prediction
AAAI
2021
Reinforcement Learning with a Disentangled Universal Value Function for Item Recommendation
ECML-PKDD
2019
Learning to Signal in the Goldilocks Zone: Improving Adversary Compliance in Security Games