Hi, my name is Zizhao Mo (莫梓钊). I am currently an Assistant Professor at Great Bay University (大湾区大学). I received my Ph.D. degree in Computer Science from the University of Macau, where I was fortunate to be advised by Prof. Huanle Xu at Cloud and Distributed Systems Lab.
My research interests lie in optimizing the performance, energy, cost, and privacy for modern AI applications. I also have a specific interest in designing efficient systems over heterogeneous resources, including CPU-GPU and heterogeneous GPU platforms.
🔥 News
- 2026.09: One paper is accepted by ATC’26.
- 2026.09: I joined Great Bay University as an Assistant Professor. Looking for researchers at multiple levels (e.g., Postdocs, PhDs, RAs and visiting students). Please email me if you’re interested.
- 2026.08: One paper is accepted by NSDI’27.
- 2026.07: Served as a TPC member of IEEE HPCA’27.
- 2026.05: Served as a TPC member of IEEE/ACM Micro’26.
- 2026.03: I give a talk at Cloudflare in March 3rd.
- 2026.02: One paper is accepted by Sigmod’26.
- 2025.06: 🎉🎉 I defense my Ph.D. thesis!
📝 Publications
Axon: Asynchronous Global KV-Aware Scheduling Across Distributed Instances for Agentic Workloads.
- Accepted by ATC’ 26 (CCF-A, CSRanking) (to appear).
- Authors: Yuqi Qiu, Jinting Zou, Zizhao Mo (Co-Corresponding author), Junlin Chen, Liao Chen, Huanle Xu, Guoyao Xu, Guodong Yang, Liping Zhang, Chengzhong Xu (2026).
ETH: Data-Balanced Heterogeneous Pipeline Parallelism for Training Large Models
- Accepted by NSDI’ 27 (CCF-A, CSRanking) (to appear).
- Authors: Mianjie Yu, Zhongmin Zhao, Zizhao Mo, Jianxiong Liao, Wenxuan Li, Yulin Qiao, Huanle Xu, Wenquan Yang, Yongqiang Yang, Zeren Li, Ruifeng Tang, Chengzhong Xu
Serving Hybrid LLM Loads with SLO Guarantees Using CPU-GPU Attention Piggybacking
- Accepted by Sigmod’ 26 (CCF-A, CSRanking).
- Authors: Zizhao Mo, Junlin Chen, Huanle Xu, Cheng-Zhong Xu
Hetis: Serving LLMs in Heterogeneous GPU Clusters with Fine-grained and Dynamic Parallelism
- Accepted by SC’ 25 (CCF-A, CSRanking).
- Authors: Zizhao Mo, Jianxiong Liao, Huanle Xu, Zhi Zhou, Cheng-Zhong Xu
Fast and Fair Training for Deep Learning in Heterogeneous GPU Clusters
- Accepted by ICS’ 25 (CCF-B, CSRanking).
- Authors: Zizhao Mo, Huanle Xu, Wing Cheong Lau
Heet: Accelerating Elastic Training in Heterogeneous Deep Learning Clusters
- Accepted by ASPLOS’ 24 (CCF-A, CSRanking).
- Authors: Zizhao Mo, Huanle Xu, Cheng-Zhong Xu
Optimal Resource Efficiency with Fairness in Heterogeneous GPU Clusters
- Accepted by Middleware’ 24 (CCF-B).
- Authors: Zizhao Mo, Huanle Xu, Wing Cheong Lau
Derm: SLA-aware Resource Management for Highly Dynamic Microservices
- Accepted by ISCA’ 24 (CCF-A, CSRanking).
- Authors: Liao Chen, Shutian Luo, Chenyu Lin, Zizhao Mo, Huanle Xu, Kejiang Ye, Cheng-Zhong Xu
Interference-aware Multiplexing for Deep Learning in GPU Clusters A Middleware Approach
- Accepted by SC’ 23 (CCF-A, CSRanking).
- Authors: Wenyan Chen, Zizhao Mo, Huanle Xu, Kejiang Ye, Cheng-Zhong Xu
🎖 Honors and Awards
- 2021 - 2025: Ph.D. Scholarship. University of Macau.
- 2024: Travel grant for ASPLOS’24.
- 2021: Arthur and Louis May Scholarship. Hong Kong University of Science and Technology.
🔖 Academic Activities
The reviewers of:
- IEEE Transactions on Computers (IEEE TC)
- Transactions on Architecture and Code Optimization (ACM TACO)
- Transactions on Services Computing (IEEE TSC)
- Journal of Systems Architecture (JSA)
- IEEE Transactions on Consumer Electronics
The program committee member of:
- 2027: HPCA, Eurosys (Reserved reviewer)
- 2026: IEEE/ACM Micro (Light-loaded reviewer); MLsys (Artifact evaluation); IJCAI-ECAI (AI4Tech workshop)
📖 Educations
- 2021 - 2025: Ph.D. in Computer Science, University of Macau.
- 2020 - 2021: MSc in Information Technology, Hong Kong University of Science and Technology.
- 2014 - 2018: B.Eng. in Software Engineering, South China University of Technology.