PersonaCUABench: Benchmarking Computer-Use Agents Serving Diverse Personas
Submitted to ACL ARR Oct.
Publications
Research Directions
| Research Area | Active Period |
|---|---|
| LLM Agents & LLM Training (Active) | 2024–Present |
| Recommender Systems & User Modeling (Active) | 2021–Present |
| AI for Healthcare | 2021–2026 |
| Time Series | 2021–2024 |
| AI for Science | 2020–2024 |
Conferences
Learning When to Think: Utility-Guided Adaptive Reasoning for Efficient Text Retrieval
Conference on Empirical Methods in Natural Language Processing (EMNLP 2026).
Can Workflow Search Be Amortized? Demonstration-Guided Synthesis of LLM Agent Workflows
Conference on Empirical Methods in Natural Language Processing (EMNLP 2026).
Medical Deep Research: Orchestrating Large Language Model Agents and Resources for Medical Investigation
NeurIPS 2025 GenAI4Health Workshop.
LLM-Empowered Medical Patient Communication: A Data-Centric Survey From a Clinical Perspective
Asia-Pacific Chapter of the Association for Computational Linguistics (AACL 2025).
Benchmarking Waitlist Mortality in Heart Transplantation Through Time-to-Event Modeling using New Longitudinal UNOS Dataset
American Medical Informatics Association Annual Symposium (AMIA 2025).
Physics-Guided Learning of Meteorological Dynamics for Weather Downscaling and Forecasting
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2025).
Fairness without Demographics through Learning Graph of Gradients
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2025).
Your Diffusion Model is Secretly a Noise Classifier and Benefits from Contrastive Training
Advances in Neural Information Processing Systems (NeurIPS 2024).
From One to Zero: RAG-IM Adapts Language Models for Interpretable Zero-Shot Predictions on Clinical Tabular Data
Machine Learning for Health Symposium 2024. <NeurIPS 2024 TRL & AFM>.
Contextualized Policy Recovery: Modeling and Interpreting Medical Decisions with Adaptive Imitation Learning
International Conference on Machine Learning (ICML 2024).
BayOTIDE: Bayesian Online Multivariate Time Series Imputation with Functional Decomposition
International Conference on Machine Learning (ICML 2024) [Spotlight Paper (191/9473)].
Fairness without Demographics on Electronic Health Records
AAAI 2024 Spring Symposium on Clinical Foundation Models.
GSLB: The Graph Structure Learning Benchmark
Advances in Neural Information Processing Systems (NeurIPS 2023).
Physics-Guided Discovery of Highly Nonlinear Parametric Partial Differential Equations
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2023). <NeurIPS 2022 AI for Science>.
AdaMCT: Adaptive Mixture of CNN-Transformer for Sequential Recommendation
ACM International Conference on Information and Knowledge Management (CIKM 2023).
Deep Stable Representation Learning on Electronic Health Records
IEEE International Conference on Data Mining (ICDM 2022).
Learning differential operators for interpretable time series modeling
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2022).
STAN: Spatio-Temporal Attention Network for the Next Location Recommendation
The Web Conference (WWW 2021)..
Journals
Expanded UNOS Registry Variables Provide Limited Incremental Value for Mortality Prediction After Heart Transplantation
Under revision at Scientific Reports (Nature Portfolio Journal).
Improving Sequential Recommendations via Bidirectional Temporal Data Augmentation with Pre-training
IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE).
scLong: a billion-parameter foundation model for capturing long-range gene context in single-cell transcriptomics
Nature Communications.
RMT-Net: Reject-aware Multi-Task Network for Financial Credit Scoring
IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE).
Symbolic genetic algorithm for discovering open-form partial differential equations (SGA-PDE)
Physical Review Research.
Probability-Density-Based Deep Learning Paradigm for the Fuzzy Design of Functional Metastructures
Research (Science Partner Journal). <NeurIPS 2020 ML4PS>.
Deep spatial representation learning of polyamide nanofiltration membranes
Journal of Membrane Science. <NeurIPS 2020 ML4Mol>.
Presentations
Learning from Simulated Patient Trajectories: A Sequential Decision-Making Agent for Heart Transplantation
INFORMS Annual Meeting 2025. [2025-10-26, Atlanta, GA, USA]
Benchmarking Waitlist Mortality in Heart Transplantation Through Time-to-Event Modeling using New UNOS Dataset
Machine Learning for Healthcare (MLHC 2025). [2025-08-15, Rochester, MN, USA]
On Interpretable Heart Transplant Mortality Prediction and Benchmarking
World Transplant Congress 2025. [2025-08-03, San Francisco, CA, USA]
Interpretable Mortality Simulation and Decision-Making Agent for Heart Transplantation
INFORMS Annual Meeting 2024. [2024-10-21, Seattle, WA, USA]
* Equal contribution<...> Additional presentation at a workshop