| Sep 24, 2026 |  Our paper Online Allocation with Differential Privacy was accepted as Spotlight (acceptance rate 1.3%) by NeurIPS 2026! It defines the differential privacy metrics for online resource allocation problems, formally establishes the performance limits of privacy-robustness trade-offs, and provides a theoretically-sound meta framework. |
| Sep 20, 2026 | I am co-organizing the Data Center Grid Integration Workshop to be held at University of Houston, Houston, TX on November 19, 2026. |
| Sep 14, 2026 | I will serve on the Local Steering Committee for the Texas Colloquium on Distributed Learning: Frontiers on Agents and Systems (TL;DR 2026), to be held at Rice University in Houston on October 8–9, 2026. Please consider submitting your posters to the workshop. |
| Jan 26, 2026 | Our paper Distributionally Robust Optimization via Generative Ambiguity Modeling was accepted by ICLR 2026. Congratulations to Jiaqi! |
| Dec 9, 2025 | Our paper 3D-Learning: Diffusion-Augmented Distributionally Robust Decision-Focused Learning is accepted by IEEE INFOCOM 2026. This paper exploits diffusion models to construct the adversarial environments for Predict-Then-Optimize (PTO) problems and trains distributionally robust prediction models. Congratulations to Jiaqi. |
| Sep 25, 2025 | Our paper Distributionally Robust Optimization via Diffusion Ambiguity Modeling was accepted by OPT 2025 collocated with NeurIPS 2025! This paper builds a diffusion-based ambiguity set for Distributionally Robust Optimization (DRO) problems. |
| Jul 15, 2025 | I will server in the Technical Program Committee of e-Energy’26 |
| Jul 1, 2025 | I will server in the Technical Program Committee of SIGMETRICS’26 |
| Jan 19, 2025 | Our paper Learning-Augmented Online Control for Decarbonizing Water Infrastructures has been accepted by e-Energy’25! This paper provides a learning-augmented control algorithm for a critical infrastructure: the municipal water supply systems. The algorithm guarantees the worst-case safety of water supply (e.g. for fire protection) while minizing the energy costs for pumping water. |
| Sep 25, 2024 | Our paper Online Budgeted Matching with General Bids has been accepted by NeurIPS 2024! It provides a provable algorithm to solve online budgeted matching problem with general bids. Manuscript will come out soon. |
| Sep 25, 2024 | Our paper Learning-Augmented Decentralized Online Convex Optimization in Networks has been accepted by ACM SIGMETRICS’25! It proposes a novel algorithm to provably robustify machine learning predictions for decentralized optimization in networks. |
| May 1, 2024 | Our paper Building Socially-Equitable Public Models was accepted by ICML 2024! |
| Dec 13, 2023 | Our paper Online Allocation with Replenishable Budgets: Worst Case and Beyond was accepted by ACM SIGMETRICS 2024! This paper provides fundamental algorithms with worst-case guarantees for online resource allocation problem and proposes a learning-augmented algorithm to improve the statistical performance under worst-case guarantee. |