news
| Feb 23, 2024 | I attended ITA Workshop 2024 at San Diego and gave a talk named Online Budgeted Allocation: Worst Case Guarantee and Learning Augmentation (paper accepted by SIGMETRICS’24). |
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| Dec 13, 2023 | Our paper Online Allocation with Replenishable Budgets: Worst Case and Beyond was accepted by ACM SIGMETRICS 2024! Online resource allocation with replenishments is one of the key problems for carbon neutral and/or water self-sufficient computing and is important for network resource management, online advertising, etc. This paper provides fundamental algorithms with worst-case guarantees for this problem and proposes a learning-augmented algorithm to improve the statistical performance under worst-case guarantee. |
| Nov 28, 2023 | Our study on AI water Making AI Less “Thirsty”: Uncovering and Addressing the Secret Water Footprint of AI Models was featured by Nature Briefing! The paper quantitatively reveals the enormous water usage of AI, highlighting the necessity of addressing water footprint along with carbon footprint to enable truly sustainable AI. |
| Oct 17, 2023 | I attended Informs Annual Meeting at Phoenix, AZ and gave an invited talk on Anytime-Constrained Sequential Decision-making with Provable Guarantee (paper accepted by NeurIPS’23) at the session of Learning-Augmented Decision-Making In Cyber-Physical System. |
| Jun 21, 2023 | Check out our new paper on environmentally equitable AI Towards Environmentally Equitable AI via Geographical Load Balancing! This paper takes a first step toward addressing AI’s environmental inequity by optimization methods. |