Yu Rong

Flow Along the $K$-Amplitude for Generative Modeling

Reference-guided Policy Optimization for Molecular Optimization via LLM Reasoning

Incentivizing Multimodal Reasoning via Progressive Curriculum Reinforcement Learning

Frequency Autoregressive Image Generation with Continuous Tokens

$S^3$-Bench: A Comprehensive Study of Multimodal LLMs for Scientific Discovery with Benchmarking

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

Universally Invariant Learning in Equivariant GNNs

Scaling Language-centric Omnimodal Representation Learning

The Rise of Parameter Specialization for Knowledge Storage in Large Language Models

InversionGNN: A Dual Path Network for Multi-Property Molecular Optimization

MolSpectra: Pre-training 3D Molecular Representation with Multi-modal Energy Spectra

CirT: Global Subseasonal-to-Seasonal Forecasting with Geometry-inspired Transformer

Atomas: Hierarchical Adaptive Alignment on Molecule-Text for Unified Molecule Understanding and Generation

Non-stationary Equivariant Graph Neural Networks for Physical Dynamics Simulation

Chain of Ideas: Revolutionizing Research in Idea Development with LLM Agents

Large Language-Geometry Model: When LLM meets Equivariance

IBCircuit: Towards Holistic Circuit Discovery with Information Bottleneck