Hailiang ZHAO

Biography

I am a ZJU 100 Young Professor (平台“百人计划”研究员) in the School of Software Technology, Zhejiang University (ZJU). I obtained my PhD from the College of Computer Science and Technology at ZJU in June 2024, supervised by Prof. Shuiguang Deng. From September 2022 to September 2023, I was a visiting research scholar at the PDCL Lab, Nanyang Technological University (NTU), under the supervision of Prof. Xueyan Tang. [Google Scholar] [ResearchGate] [ZJU Homepage] [中文网站]

My research interests generally lie in Bridging The Gap Between Theory and Systems (see this for more details), with a particular focus on developing algorithms that outperform those currently used 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

• Fan'an Meng, Hongjun Dai*, Guoqing Cong, Bo Zhu, and Hailiang Zhao, CATScaler: A Convolution-Augmented Transformer Scaling Framework for Cloud-Native Applications. In: IEEE Transactions on Services Computing (TSC), just accepted. (CCF A)

• Cheng Zhang, Yinuo Deng, Hailiang Zhao*, Tianlv Chen, and Shuiguang Deng*, Tail-Learning: Adaptive Learning Method for Mitigating Tail Latency in Autonomous Edge Systems. In: ACM Transactions on Autonomous and Adaptive Systems (TAAS), early access, doi: https://doi.org/10.1145/3737289. (CCF B)

• Hailiang Zhao, Ziqi Wang, Guanjie Cheng*, Wenzhuo Qian, Peng Chen, Jianwei Yin, Schahram Dustdar, and Shuiguang Deng*, Online Workload Scheduling for Social Welfare Maximization in the Computing Continuum. In: IEEE Transactions on Services Computing (TSC), early access, doi: 10.1109/TSC.2025.3570845. (CCF A)

• Zhiwei Ling, Yachen Chang, Hailiang Zhao*, Xinkui Zhao, Kingsum Chow*, and Shuiguang Deng, CADRef: Robust Out-of-Distribution Detection via Class-Aware Decoupled Relative Feature Leveraging. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition 2025 (CVPR '25). [Code] (CCF A)

• Hailiang Zhao, Xueyan Tang, Peng Chen, and Shuiguang Deng, Learning-Augmented Algorithms for the Bahncard Problem. In: Proceedings of the 38th Conference on Neural Information Processing Systems (NeurIPS '24). [Code] [Slide] [Poster] (CCF A)

• 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]

• 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)

• 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 Transactions on Services Computing (TSC), vol. 17, no. 3, pp. 1168-1180, May-June 2024, doi: 10.1109/TSC.2023.3303344. (CCF A)

• 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 Transactions 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)

• 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 Transactions 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)

• 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 Transactions on Mobile Computing (TMC), vol. 21, no. 12, pp. 4296-4309, 1 Dec. 2022, doi: 10.1109/TMC.2021.3074934. [Slide] (CCF A)

• Hailiang Zhao, Shuiguang Deng*, Zijie Liu, Jianwei Yin, and Schahram Dustdar, Distributed Redundant Placement for Microservice-based Applications at the Edge. In: IEEE Transactions 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)

• 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)

• 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) (CCF B)

• 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学者 (2024)
• 浙江大学优秀博士学位论文 (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 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 talk, IEEE ICWS '19
• QoE Aware and Cell Capacity Enhanced Computation Offloading for Multi-Server Mobile Edge Computing Systems with Energy Harvesting Devices, Conference talk, IEEE UIC '18

Professional Services

I am serving as the Program Chair member and reviewer for several conferences and journals. To name a few of the journals:

• IEEE Transactions on Services Computing
• 计算机学报
• 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: hliangzhao {AT} ZJU {DOT} edu {DOT} cn, hliangzhao97 {AT} gmail {DOT} com

Address:

• Room 3#403, Ningbo Campus of Zhejiang University (浙江省宁波市鄞州区学府路 5 号, 浙江大学宁波校区 315100)
• 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)