| Sep 25, 2026 | E4GEN is accepted to NeurIPS 2026 — an explainable diffusion framework for extreme event-aware time-series generation. |
| Aug 29, 2026 | New preprint on arXiv: a fine-grained measurement study of healthcare accessibility and resilience in the rural Florida Panhandle, from facility supply and travel burden to disruptions around Hurricane Michael and COVID-19. |
| Aug 21, 2026 | SynEHR is accepted to ACM CIKM 2026 — an LLM-based framework for synthesizing longitudinal electronic health records. |
| Aug 08, 2026 | Two new preprints on arXiv: ZeroHAT, zero-shot human activity trace generation for regions with no real data, and ChainUQ, reasoning consistency-aware uncertainty quantification for LLMs. |
| Aug 08, 2026 | EnergyMamba appears in the ACM SIGKDD 2026 proceedings, and HealthMamba in the IJCAI 2026 proceedings (AI and Health Track). |
| Aug 04, 2026 | Three new preprints on arXiv: TrAC and SymboUQ, two frameworks for quantifying the uncertainty of LLM reasoning traces, and SynEnergy, anomaly semantic-guided diffusion for synthetic energy data generation. |
| Jul 31, 2026 | New preprints out: MobiDiff (semantic-aware multi-channel discrete diffusion for human mobility generation) and MBDiff (probabilistic utility data imputation). |
| Jun 01, 2026 | EnergyMamba and E4GEN are on arXiv — an uncertainty-aware state space model for energy consumption prediction, and event-level explainable time-series generation. |
| Apr 01, 2026 | SynHAT is accepted to ACM IMWUT / UbiComp 2026 — a two-stage coarse-to-fine diffusion framework for synthesizing human activity traces. |
| Feb 05, 2026 | Preprint of HealthMamba released: an uncertainty-aware spatiotemporal graph state space model for healthcare facility visit prediction. |
| Jan 01, 2026 | TrustEnergy is accepted to AAAI 2026. |
| Aug 01, 2025 | UQGNN is accepted to ACM SIGSPATIAL 2025. |
| Apr 01, 2025 | Our uncertainty-aware predict-then-optimize framework for equitable post-disaster power restoration is accepted to IJCAI 2025. |
| Aug 01, 2023 | Started my Ph.D. in Computer Science at Florida State University, advised by Prof. Guang Wang. |