Biography
(只提供英文版)
- Associate Professor in School of Computing and Data Science at The University of Hong Kong
- Research interests include the design and analysis of algorithms, with a focus on the role of information and its flip side, uncertainty. Prof. Huang is interested in algorithms for sequential decision-making under uncertainty (online algorithms), learning based on different forms of information (learning theory), incentivizing self-interested agents to share private information (mechanism design), and disclosing one kind of information while keeping the other confidential (differential privacy).
- RFS project — in modern digital economies, companies such as online advertising platforms, ride-hailing services, and cloud computing providers face significant challenges in resource allocation due to the uncertainty of future demand. This project will address these challenges by developing a unified theory for data-driven online resource allocation.
- Awards and Honours:
- RGC Research Fellow (2025)
- Excellent Young Scientists Fund (HK & Macau) (2021)
- Best Paper Awards of ESA 2024, FOCS 2020, SPAA 2015
- Early Career Award (2014)
- Morris and Dorothy Rubinoff Dissertation Award (2013)
Project Title
(只提供英文版)
- Data-driven Online Resource Allocation: From Theory to Algorithms
讚詞
為表彰黃志毅教授在理論計算機科學領域的基礎研究貢獻,研究資助局(研資局)特授予其「研資局研究學者」榮譽獎項,以支持其關於「數據驅動的在線資源分配理論與算法」的專項研究。
黃教授領導的香港大學研究團隊長期致力於探索信息作為計算資源的潛力,並發展不確定性下的優化理論。其研究成果包括建立非線性在線優化的算法理論、提出最優拍賣機制所需數據量的樣本複雜度理論,以及解決在線匹配市場序貫決策中多個開放性問題。相關研究成果曾榮獲ESA 2024、FOCS 2020及SPAA 2015等多項國際頂級會議最佳論文獎。
除研資局研究學者計劃外,黃教授亦曾獲香港研資局傑出青年學者獎、國家自然科學基金優秀青年科學家基金(港澳)項目,以及Morris and Dorothy Rubinoff優秀博士論文獎等榮譽。












