Hao Zhou
- Accelerating 3D Molecule Generative Models with Trajectory Diagnosis
- Bi-Level Decision-Focused Causal Learning for Large-Scale Marketing Optimization: Bridging Observational and Experimental Data
- DAPO: An Open-Source LLM Reinforcement Learning System at Scale
- Enigmata: Scaling Logical Reasoning in Large Language Models with Synthetic Verifiable Puzzles
- MOF-BFN: Metal-Organic Frameworks Structure Prediction via Bayesian Flow Networks
- Rationalized All-Atom Protein Design with Unified Multi-Modal Bayesian Flow
- Retrieval is Not Enough: Enhancing RAG through Test-Time Critique and Optimization
- Retro-R1: LLM-based Agentic Retrosynthesis
- ShortListing Model: A Streamlined Simplex Diffusion for Discrete Variable Generation