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Chang Liu

Microsoft Research AI4Science, Beijing, China

20 papers at tracked venues · 18 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. WaveFormer: Frequency-Time Decoupled Vision Modeling with Wave Equation
  2. DigitalLLaVA: Incorporating Digital Cognition Capability for Physical World Comprehension in Multimodal LLMs
  3. E2Former: An Efficient and Equivariant Transformer with Linear-Scaling Tensor Products
  4. Efficient ANN-SNN Conversion with Error Compensation Learning
    ICML 2025 · Chang Liu
  5. Efficient and Scalable Density Functional Theory Hamiltonian Prediction through Adaptive Sparsity
  6. Enhancing the Scalability and Applicability of Kohn-Sham Hamiltonians for Molecular Systems
  7. Latent Reward: LLM-Empowered Credit Assignment in Episodic Reinforcement Learning
  8. Spherical Scissor-Like Reconfigurable Palm Design in Robotic Hands: Insights from Human Hand Functionality
  9. FaceChain-SuDe: Building Derived Class to Inherit Category Attributes for One-Shot Subject-Driven Generation
  10. From Synthetic to Real: A Calibration-free Pipeline for Few-shot Raw Image Denoising
  11. GraCo: Granularity-Controllable Interactive Segmentation
  12. Infusing Self-Consistency into Density Functional Theory Hamiltonian Prediction via Deep Equilibrium Models
  13. Kepler codebook
  14. LLM-Empowered State Representation for Reinforcement Learning
  15. MIPI 2024 Challenge on Few-shot RAW Image Denoising: Methods and Results
  16. ParCo: Part-Coordinating Text-to-Motion Synthesis
  17. Parallel Vertex Diffusion for Unified Visual Grounding
  18. Physical Consistency Bridges Heterogeneous Data in Molecular Multi-Task Learning
  19. Self-Consistency Training for Density-Functional-Theory Hamiltonian Prediction
  20. UVMap-ID: A Controllable and Personalized UV Map Generative Model