Research & Papers

Publications

1. NeurIPS 2026

   Improving Function Space Flow Matching with Kernel Optimal Transport

   Fred Xu, Thomas Markovich, Barbora Barancikova, Yizhou Sun

   arXiv

2. NeurIPS 2026

   Graph Anomaly Detection as Finite-Horizon Control: Training-Free Scoring via Empirical Bayes

   Fred Xu, Thomas Markovich, Florence Regol, Yizhou Sun

   arXiv

3. NeurIPS 2026

   A Unified Uncertainty Representation for Graph Neural Networks via Doubly-Spectral Stochastic Expansion

   Fred Xu, Thomas Markovich, Florence Regol, Yizhou Sun

   arXiv

4. KDD 2026

   FD-Bench: A Modular and Fair Benchmark for Data-driven Fluid Simulation

   Haixin Wang, Ruoyan Li, Fred Xu, Fang Sun, Kaiqiao Han, Zijie Huang, Ching Chang, Xiao Luo, Wei Wang, Yizhou Sun · Co-first author

   arXiv

5. KDD 2026

   TIDAL: A Temporal Causal Diffusion Framework for Visualizing Knee Osteoarthritis Treatment Outcomes

   Anthony Cuturrufo, Fred Xu, Arvind Vepa, David Bakal, Veena Ranganath, Yizhou Sun, Wei Wang

6. ACL 2026

   Training Recipes for Agentic Reinforcement Learning in LLMs: A Survey

   Co-author

7. AMS Annual Meeting 2027

   Understanding Large-Scale Midlatitude Atmospheric Dynamics Using a Hierarchy of Stochastic Models

   Co-author

8. NeurIPS 2025

   Uncertainty Estimation on Graphs with Structure Informed Stochastic Partial Differential Equations

   Fred Xu, Thomas Markovich

   arXiv

9. Findings of ACL 2024

   FUSE: Measure-Theoretic Compact Fuzzy Set Representation for Taxonomy Expansion

   Fred Xu, Song Jiang, Zijie Huang, Xiao Luo, Shichang Zhang, Adrian Chen, Yizhou Sun

   OpenReviewarXiv

10. Manuscript

    Neural Hybrid Residual XRO Models for ENSO Forecasting

    First author

11. Under review

    FlowPhon: Graph Generation via Flow Matching on Graphon Operators

    Second author

12. Manuscript

    A Theoretical Jump Spike Pressure Framework for High-Frequency Prediction Calibration

    Second author