KC Tan

Geometric Graph Neural Diffusion for Stable Molecular Dynamics Simulations

Large-Scale Molecular Dynamics Simulation: Direct Interatomic Modeling with Dilated Message Passing

Med-REFL: Enhancing Complex Reasoning via Fine-grained Self-Correction

MindMix: A Multimodal Foundation Model for Auditory Perception Decoding via Deep Neural-Acoustic Alignment

HEAR: An EEG Foundation Model with Heterogeneous Electrode Adaptive Representation

VAR-MATH: Probing True Mathematical Reasoning in LLMs via Symbolic Multi-Instance Benchmarks

Evolving DAGs with LLM: Towards Smart and Hallucination-Mitigated Causal Discovery

Projective Symbolic Regression: Solving High-Dimensional PDE by Learning from Low-Dimensional Projections

HM3: Hierarchical Multi-Objective Model Merging for Pretrained Models

Diversity-Aware Policy Optimization for Large Language Model Reasoning

Towards Robustness and Explainability of Automatic Algorithm Selection

Accelerating 3D Molecule Generation via Jointly Geometric Optimal Transport

Steering 3D Molecule Generation in Data-Sparse Regions via Distributional Physical Priors

Explainable Molecular Property Prediction: Aligning Chemical Concepts with Predictions via Language Models

Exploring the Causal Mechanisms: Towards Robust and Explainable Algorithm Selection