Hao Zhou

MemAgent: Reshaping Long-Context LLM with Multi-Conv RL-based Memory Agent

DCFold: Efficient Protein Structure Generation with Single Forward Pass

CubeBench: Diagnosing Interactive, Long-Horizon Physical Intelligence under Partial Observations

MoMa: A Simple Modular Learning Framework for Material Property Prediction

Accelerating 3D Molecule Generative Models with Trajectory Diagnosis

MOF-BFN: Metal-Organic Frameworks Structure Prediction via Bayesian Flow Networks

Steering Protein Family Design through Profile Bayesian Flow

A Periodic Bayesian Flow for Material Generation

Enigmata: Scaling Logical Reasoning in Large Language Models with Synthetic Verifiable Puzzles

ShortListing Model: A Streamlined Simplex Diffusion for Discrete Variable Generation

Rationalized All-Atom Protein Design with Unified Multi-Modal Bayesian Flow

Retro-R1: LLM-based Agentic Retrosynthesis

DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Smooth Interpolation for Improved Discrete Graph Generative Models

Empower Structure-Based Molecule Optimization with Gradient Guided Bayesian Flow Networks

SToFM: a Multi-scale Foundation Model for Spatial Transcriptomics

Piloting Structure-Based Drug Design via Modality-Specific Optimal Schedule

Smooth Probabilistic Interpolation Benefits Generative Modeling for Discrete Graphs

Unlocking the Power of Gradient Guidance for Structure-Based Molecule Optimization

ON EXTRAPOLATION IN MATERIAL PROPERTY REGRESSION