Ph.D. student in Computer Science · UCLA

Fred Xu

I'm a Ph.D. student in Computer Science at UCLA, researching probabilistic generative modeling, graph learning and uncertainty quantification, with applications to finance and science. Here I write about philosophy, literature and AI, and about my research.

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Philosophy · Journal · Boxing Reflection on my First Boxing Bout - A Warrior's JourneyThe Learning Journey of my First Boxing Match November 10, 2024 · 13 min read

Philosophy, Literature & AI Jim Simons, A Short TributeA short tribute to Jim Simons, An inspiration of mine

Philosophy, Literature & AI Boxing and Flow StateMy Guiding Principle, Manifested in my love for boxing

Philosophy, Literature & AI Coffee Shop ReflectionsA series of reflections and philosophizing that may underlie my latent guiding principles

Selected papers

NeurIPS 2026
Improving Function Space Flow Matching with Kernel Optimal Transport
Fred Xu, Thomas Markovich, Barbora Barancikova, Yizhou Sun
arXiv
NeurIPS 2026
Graph Anomaly Detection as Finite-Horizon Control: Training-Free Scoring via Empirical Bayes
Fred Xu, Thomas Markovich, Florence Regol, Yizhou Sun
arXiv
NeurIPS 2026
A Unified Uncertainty Representation for Graph Neural Networks via Doubly-Spectral Stochastic Expansion
Fred Xu, Thomas Markovich, Florence Regol, Yizhou Sun
arXiv
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
NeurIPS 2025
Uncertainty Estimation on Graphs with Structure Informed Stochastic Partial Differential Equations
Fred Xu, Thomas Markovich
arXiv
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
OpenReview arXiv