FOUNDATION Models
LLM Reasoning & Post-training
Data-efficient post-training, reinforcement learning, and uncertainty quantification for more capable and reliable LLM reasoning.
Research Interests
AgentIC AI
LLM Agents & RAG
LLM agents, retrieval, memory, and tool use for building reliable and grounded systems for real-world applications.
Graph Machine Learning
Machine Learning for Graphs & Dynamical Systems
Machine learning for graph-structured data and dynamical systems to solve real-world problems.
AI for Science
AI for Computational Biology & Healthcare
AI-driven methods for genomics, molecules, biomedical and healthcare applications.
If you are interested in my research or would like to work with me (including onsite/remote internship/collaboration), please feel free to email me!
News
- Invited as an Area Chair for KDD 2026.
- Invited as an Area Chair for ACL ARR 2026 January.
- Received the Distinguished Area Chair Certificate from ECML-PKDD 2025.
Selected Publications
- , “Sample Lottery: Unsupervised Discovery of Critical Instances for LLM Reasoning,” In International Conference on Learning Representations (ICLR), 2026.
- , “SE-Diff: Simulator and Experience Enhanced Diffusion Model for Comprehensive ECG Generation,” In International Conference on Learning Representations (ICLR), 2026.
- , “PRISM-Physics: Causal DAG-Based Process Evaluation for Physics Reasoning,” In International Conference on Learning Representations (ICLR), 2026.
- , “PRISM: Partial-label Relational Inference with Spatial and Spectral Cues,” In International Conference on Learning Representations (ICLR), 2026.
- , “Out-of-Distribution Graph Models Merging,” In International Conference on Learning Representations (ICLR), 2026.
- , “Dynamic Text Bundling Supervision for Zero-Shot Inference on Text-Attributed Graphs,” In Annual Conference on Neural Information Processing Systems (NeurIPS), 2025.
- , “BAITSAO: Building A Unified Model for Drug Synergy Analysis Powered by Large Language Models,” Nature Communications, 2025.
- , “Sparse Causal Discovery with Generative Intervention for Unsupervised Graph Domain Adaptation,” In International Conference on Machine Learning (ICML), 2025.
- , “Rethink GraphODE Generalization within Coupled Dynamical System,” In International Conference on Machine Learning (ICML), 2025.
- , “DANCE: Dual Unbiased Expansion with Group-acquired Alignment for Out-of-distribution Graph Fairness Learning,” In International Conference on Machine Learning (ICML), 2025.
- , “GCAL: Adapting Graph Models to Evolving Domain Shifts,” In International Conference on Machine Learning (ICML), 2025.
- , “Test-time Adaptation on Graphs via Adaptive Subgraph-based Selection and Regularized Prototypes,” In International Conference on Machine Learning (ICML), 2025.
- , “Identifying Cellular Niches in Spatial Transcriptomics: An Investigation into the Capabilities of Large Language Models,” In The Annual Meeting of the Association for Computational Linguistics (ACL), 2025.
- , “Embracing Large Language Models in Traffic Flow Forecasting,” In The Annual Meeting of the Association for Computational Linguistics Findings (ACL Findings), 2025.
- , “scRAG: Hybrid Retrieval-Augmented Generation for LLM-based Cross-Tissue Single-Cell Annotation,” In The Annual Meeting of the Association for Computational Linguistics Findings (ACL Findings), 2025.
Teaching
- Fall 2026, STAT 451: Introduction to Machine Learning and Statistical Pattern Classification
- Spring 2026, STAT 601: Statistical Methods I
Selected Awards and Honors
- Chancellor's Award for Postdoctoral Research, UCLA
- NeurIPS 2023 Workshop DLDE Best Paper Award
- Institute for Digital Research and Education Postdoctoral Fellowship, UCLA
- CIKM 2025 Best Paper Candidate
Selected Academic Services
Associate Editor / Editorial Board Member: BMC Bioinformatics (2023-), Pattern Recognition (2025-), IEEE Journal of Biomedical and Health Informatics (2025-), Transactions on Machine Learning Research (2025-), IEEE Transactions on Emerging Topics in Computational Intelligence (2025-), and IEEE Transactions on Circuits and Systems for Video Technology (2025-).
Area Chair: ACM MM 2024, ICML 2025, ACL ARR, ACM MM 2025, ECML-PKDD 2025, NeurIPS 2025, ICLR 2026, CVPR 2026, ICML 2026, ECML-PKDD 2026, KDD 2026, and KDD 2026 AI4Science Track.
Senior Program Committee: IJCAI 2025, CIKM 2025, AAAI 2026, and IJCAI 2026.
Recognition: Distinguished Area Chair Certificate, ECML-PKDD 2025.
