Biography
Currently I am a ZJU 100 Young Professor (“百人计划”研究员) in the School of Software Technology, Zhejiang University (ZJU). I obtained my PhD in the College of Computer Science and Technology at ZJU in Jun. 2024, supervised by Prof. Shuiguang Deng (国家杰青、浙大求是特聘学者). From Sep. 2022 to Sep. 2023, I was a visiting research scholar of PDCL Lab, Nanyang Technological University (NTU), very luckily to be advised by Prof. Xueyan Tang. I am fortunate to work with Prof. Zomaya (IEEE Fellow) at University of Sydney, Australia and Prof. Dustdar (IEEE Fellow) at TU Wien, Austria. [Google Scholar] [ResearchGate] [Mirror Page]
My prior work focuses on solving optimization problems in distributed computing environment, such as task placement and job scheduling, in both offline and online settings, or in time-varying systems. In recent years, I have put more effort into designing algorithms for systems with performance guarantees. Generally, my recent (and future) research interests lie in Bridging The Gap Between Theory and System (see this for some details), specifically designing algorithms that perform better than the currently used algorithms in modern computer systems and clusters.
If you are interested in my research and would like to pursue a Master’s or Ph.D. under my supervision, please feel free to send an email to: hliangzhao {AT} zju {DOT} edu {DOT} cn.
Selected Papers
A full list of publications is available at Google Scholar.
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Hailiang Zhao, Xueyan Tang, Peng Chen, and Shuiguang Deng, Learning-Augmented Algorithms for the Bahncard Problem. Accepted to appear in the 38th Conference on Neural Information Processing Systems (NeurIPS '24). [Code] [Slide] [Poster] (CCF A)
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Hailiang Zhao, Xueyan Tang*, Peng Chen, Jianwei Yin, and Shuiguang Deng, Data-Locality-Aware Task Assignment and Scheduling for Distributed Job Executions. In: arXiv preprints. [Code]
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Binbin Huang, Hailiang Zhao*, Lingbin Wang, Wenzhuo Qian, Yuyu Yin, Shuiguang Deng, Decentralized Proactive Model Offloading and Resource Allocation for Split and Federated Learning. In: arXiv preprints.
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Feiyi Chen, Zhen Qin, Hailiang Zhao*, and Shuiguang Deng*, PePNet: A Periodicity-Perceived Workload Prediction Network Supporting Rare Occurrence of Heavy Workload. In: arXiv preprints.
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Cheng Zhang, Yinuo Deng, Hailiang Zhao*, Tianlv Chen, Shuiguang Deng, Tail-Learning: Adaptive Learning Method for Mitigating Tail Latency in Autonomous Edge Systems. In: arXiv preprints.
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Shuiguang Deng*, Hailiang Zhao*, Bingbing Huang, Cheng Zhang, Feiyi Chen, Yinuo Deng, Jianwei Yin, Schahram Dustdar, and Albert Y. Zomaya, Cloud-Native Computing: A Survey from the Perspective of Services. In: Proceedings of the IEEE (JPROC), vol. 112, no. 1, pp. 12-46, Jan. 2024, doi: 10.1109/JPROC.2024.3353855. (CCF A)
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Hailiang Zhao, Shuiguang Deng*, Zhengzhe Xiang, Xueqiang Yan, Jianwei Yin, Schahram Dustdar, and Albert Y. Zomaya, Scheduling Multi-Server Jobs with Sublinear Regrets via Online Learning. In: IEEE Trans. on Services Computing (TSC), vol. 17, no. 3, pp. 1168-1180, May-June 2024, doi: 10.1109/TSC.2023.3303344. (CCF A)
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Hailiang Zhao, Shuiguang Deng*, Feiyi Chen, Jianwei Yin, Schahram Dustdar, and Albert Y. Zomaya, Learning to Schedule Multi-Server Jobs with Fluctuated Processing Speeds. In: IEEE Trans. on Parallel and Distributed Systems (TPDS), vol. 34, no. 1, pp. 234-245, 1 Jan. 2023, doi: 10.1109/TPDS.2022.3215947. [Slide] (CCF A)
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Shuiguang Deng, Hailiang Zhao, Zhengzhe Xiang, Cheng Zhang, Rong Jiang, Ying Li*, Jianwei Yin, Schahram Dustdar, and Albert Y. Zomaya, Dependent Function Embedding for Distributed Serverless Edge Computing. In: IEEE Trans. on Parallel and Distributed Systems (TPDS), vol. 33, no. 10, pp. 2346-2357, 1 Oct. 2022, doi: 10.1109/TPDS.2021.3137380. [Slide] [Code] [arXiv version] (CCF A)
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Hailiang Zhao, Shuiguang Deng*, Zijie Liu, Zhengzhe Xiang, Jianwei Yin, Schahram Dustdar, and Albert Y. Zomaya, DPoS: Decentralized, Privacy-Preserving, and Low-Complexity Online Slicing for Multi-Tenant Networks. In: IEEE Trans. on Mobile Computing (TMC), vol. 21, no. 12, pp. 4296-4309, 1 Dec. 2022, doi: 10.1109/TMC.2021.3074934. [Slide] (CCF A)
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Hailiang Zhao, Shuiguang Deng*, Zijie Liu, Jianwei Yin, and Schahram Dustdar, Distributed Redundant Placement for Microservice-based Applications at the Edge. In: IEEE Trans. on Services Computing (TSC), vol. 15, no. 3, pp. 1732-1745, 1 May-June 2022, doi: 10.1109/TSC.2020.3013600. [Slide] (ESI Highly Cited Paper) (CCF A)
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Shuiguang Deng, Hailiang Zhao, Weijia Fang*, Jianwei Yin, Schahram Dustdar, and Albert Y. Zomaya, Edge Intelligence: The Confluence of Edge Computing and Artificial Intelligence. In: IEEE Internet of Things Journal (IOTJ), vol. 7, no. 8, pp. 7457-7469, Aug. 2020, doi: 10.1109/JIOT.2020.2984887. (ESI Hot Paper, ESI Highly Cited Paper)
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Hailiang Zhao, Shuiguang Deng*, Cheng Zhang, Wei Du, Qiang He, and Jianwei Yin, A Mobility-Aware Cross-Edge Computation Offloading Framework for Partitionable Applications. In: Proceedings of the 17th IEEE International Conference on Web Services (ICWS '19), Milan, Italy, 2019. [Slide] [Theoretical Analysis] (Best Student Paper)
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Hailiang Zhao, Wei Du, Wei Liu, Tao Lei, and Qiwang Lei, QoE Aware and Cell Capacity Enhanced Computation Offloading for Multi-Server Mobile Edge Computing Systems with Energy Harvesting Devices. In: Proceedings of the 15th IEEE International Conference on Ubiquitous Intelligence and Computing (UIC '18), Guangzhou, China, 2018. [Slide] [Code]
Selected Materials & Resources
- Understanding Acceleration Opportunities for Microservice Overheads at Hyperscale (Jun 2024)
- Characterizing Microservice Dependency and Performance: Alibaba Trace Analysis (May 2024)
- Online Interval Scheduling (Mar 2024)
- Transformation Techniques in Optimization (Feb 2024)
- Everything about ADMM (Nov 2022)
- Distributed Systems in One Slide (Oct 2022)
- ADMM: The Variational Inequality Perspective (Oct 2022)
- An Overview of Kubernetes Scheduling (Oct 2022)
- 优化算法复杂度分析 (Oct 2022)
- 最优化理论基础 (Jul 2021)
- Park: An Open Platform for Learning-Augmented Computer Systems (Jan 2021)
- 理解共轭梯度法 (Jul 2020)
- 需要熟练掌握的算法理论基础 (May 2020)
- How Should I Slice My Network? (Dec 2019)
- 李雅普诺夫优化导论 (Nov 2018)
Selected Awards & Honors
- 浙江大学启真优秀青年人才 (2024)
- 浙江大学优秀毕业生 (2024)
- 浙江大学三好研究生 & CCNT 实验室杰出研究生 (2020)
- 浙江大学博新奖学金 (2019)
- 2019 IEEE International Conference on Web Services 最佳学生论文奖 (2019)
- 武汉理工大学卓越奖学金 (校最高学生奖励) (2018)
Talks
- Learning-Augmented Algorithms: Bridging the Gap between Theory and System, Invited Talk, Future Computing Forum '24
- Learning to Schedule Multi-Server Jobs with Fluctuated Processing Speeds, PhD Symposium, CCF ICSS '23
- Distributed Redundancy Scheduling for Microservice-based Applications at the Edge, Conference paper talk, IEEE SERVICES '21
- Dependent Function Embedding for Distributed Serverless Edge Computing, PhD Symposium, CCF ICSS '21
- A Mobility-aware Cross-edge Computation Offloading Framework for Partitionable Applications, Conference paper talk, IEEE ICWS '19
- QoE Aware and Cell Capacity Enhanced Computation Offloading for Multi-Server Mobile Edge Computing Systems with Energy Harvesting Devices, Conference paper talk, IEEE UIC '18
Professional Services
I am serving as a reviewer for some journals, including:
- IEEE Transactions on Services Computing
- IEEE Internet of Things Journal
- The Journal of Supercomputing
- IEEE Communications Magazine
- Future Generation Computer Systems
- IEEE Transactions on Green Communication and Networking
- Mobile Networks & Applications
- Cluster Computing
- IEEE Communications Letters
- Transactions on Emerging Telecommunications Technologies
- Journal of Network and Systems Management
- International Journal on Communication Systems
Correspondence
Emails: hliangzhao97 {AT} gmail {DOT} com, hliangzhao {AT} ZJU {DOT} edu {DOT} cn
Address:
- Room 422, Cao Guangbiao Sci-tech Building, Yuquan Campus of Zhejiang University (中国浙江省杭州市西湖区浙大路 38 号，浙江大学玉泉校区 310027)
- Room N506, Teach Building, Ningbo Campus of School of Software Technology, Zhejiang University (中国浙江省宁波市鄞州区江南路 1689 号，浙江大学软件学院宁波校区 315048)