PhyVer: Physics-Grounded Material Claim Verification with Multi-Fidelity Physical Evidence
Published in ACL, 2026
Publications
You can also find my articles on my Google Scholar profile.
Conference Papers
Balancing Learning Rates Across Layers: Exact Two-Step Dynamics and Optimal Scaling in Linear Neural Networks
Published in ICML, 2026
The End of Trial-and-Error: A Vision for Generative Intelligence in Metamaterial Design
Published in ICDMW, 2025
HeroFilter: Adaptive Spectral Graph Filter for Varying Heterophilic Relations
Published in NeurIPS, 2025
MetamatBench: Integrating Heterogeneous Data, Computational Tools, and Visual Interface for Metamaterial Discovery
Published in KDD, 2025
EVINET: Towards Open-World Graph Learning via Evidential Reasoning Network
Published in KDD, 2025
LENSLLM: Unveiling Fine-Tuning Dynamics for LLM Selection
Published in ICML, 2025
MetaScientist: A Human-AI Synergistic Framework for Automated Mechanical Metamaterial Design
Published in NAACL Demo Track, 2025
Towards Heterogeneous Long-tailed Learning: Benchmarking, Metrics, and Toolbox
Published in NeurIPS D&B Track, 2024
Mastering Long-Tail Complexity on Graphs: Characterization, Learning, and Generalization
Published in KDD, 2024
EvoluNet: Advancing Dynamic Non-IID Transfer Learning on Graphs
Published in ICML, 2024
Journal Articles
Enhancing Fairness and Accuracy in Diagnosing Type 2 Diabetes in Young Adult Population
Published in IEEE Journal of Biomedical and Health Informatics, 2025
Robust Bayesian Matrix Decomposition with Mixture of Gaussian Noise
Published in Neurocomputing, 2021
Preprints
Data Value in the Age of Scaling: Understanding LLM Scaling Dynamics Under Real-Synthetic Data Mixtures
Published in Preprint, 2025
A Benchmark for Federated Hetero-Task Learning
Published in Preprint, 2022