Welcome to my homepage! I am currently a Postdoctoral Researcher in the Hyperscale Systems and Cloud Architecture Lab at Nanyang Technological University, working with Prof. Dmitrii Ustiugov. Previously, I was a Postdoc in the Cloud and Distributed Systems (CDS) Lab at the University of Macau (2025.01 – 2025.08), supervised by Prof. Chengzhong Xu (须成忠), Prof. Huanle Xu (徐欢乐) and Prof. Kejiang Ye (叶可江). My research interests focus on cloud computing, serverless, systems for ML.
Here is my CV. Feel free to email me if you are interested.
🔥 News
- 2025.08: 🎉🎉 FlexPipe is accepted by EuroSys 2026.
- 2024.07: 🎉🎉 Mudi is accepted by EuroSys 2025.
📝 Publications
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EuroSys 2025 Multiplexing Dynamic Deep Learning Workloads with SLO-awareness in GPU Clusters, Wenyan Chen, Chengzhi Lu, Huanle Xu, Kejiang Ye, Chengzhong Xu. [Slides]
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SC 2024 SMIless: Serving DAG-based Inference with Dynamic Invocations under Serverless Computing, Chengzhi Lu, Huanle Xu, Yudan Li, Wenyan Chen, Kejiang Ye, Chengzhong Xu.[Slides]
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ICWS 2024 Planck: Optimizing LLM Inference Performance in Pipeline Parallelism with Fine-Grained SLO Constraint, Yanying Lin, Shijie Peng, Shuaipeng Wu, Yanbo Li, Chengzhi Lu, Chengzhong Xu, Kejiang Ye.
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EuroSys 2023 Understanding and Optimizing Workloads for Unified Resource Management in Large Cloud Platforms, Chengzhi Lu, Huanle Xu, Kejiang Ye, Guoyao Xu, Liping Zhang, Guodong Yang, Chengzhong Xu.
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TPDS 2022 An in-depth study of microservice call graph and runtime performance, Shutian Luo, Huanle Xu, Chengzhi Lu, Kejiang Ye, Guoyao Xu, Liping Zhang, Jian He, Chengzhong Xu.
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SoCC 2021 Characterizing Microservice Dependency and Performance: Alibaba Trace Analysis, Shutian Luo, Huanle Xu, Chengzhi Lu, Kejiang Ye, Guoyao Xu, Liping Zhang, Yu Ding, Jian He, Chengzhong Xu. Best Paper Award
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CLUSTER 2021 RPTCN: Resource prediction for high-dynamic workloads in clouds based on deep learning, Wenyan Chen, Chengzhi Lu, Kejiang Ye, Yang Wang, Chengzhong Xu.
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HPBD&IS 2020 Understanding the workload characteristics in alibaba: A view from directed acyclic graph analysis, Chengzhi Lu, Wenyan Chen, Kejiang Ye, Cheng-Zhong Xu.
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JCST 2020 Interference analysis of co-located container workloads: a perspective from hardware performance counters, Wenyan Chen, Kejiang Ye, Chengzhi Lu, Dongdai Zhou, Chengzhong Xu.
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ICPADS 2019 ADGS: anomaly detection and localization based on graph similarity in container-based clouds, Chengzhi Lu, Kejiang Ye, Wenyan Chen, Chengzhong Xu.
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ICPADS 2018 Modeling application performance in docker containers using machine learning techniques, Kejiang Ye, Yanmin Kou, Chengzhi Lu, Yang Wang, Chengzhong Xu.
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BigData 2017 Imbalance in the cloud: An analysis on alibaba cluster trace, Chengzhi Lu, Kejiang Ye, Guoyao Xu, Cheng-Zhong Xu, Tongxin Bai.
🎖 Honors and Awards
- 2021-2024, Dean’s award for academic performance, SIAT, CAS
- 2022.01, Outstanding student, UCAS
- 2019.02, Outstanding student, SIAT, CAS
- 2018.07, Outstanding graduates, ZJU
📖 Educations
- 2019.09 - 2025.01, Ph.D., Computer Science, University of Chinese Academy of Sciences.
- 2016.09 - 2018.09, Master, Software Engineering, Zhejiang University.
- 2012.09 - 2016.06, B.S., Computer Science, Wuhan University.
💬 Talks
- 2024.12, ChinaSys 2024 Fall，SMIless: Serving DAG-based Inference with Dynamic Invocations under Serverless Computing. Tianjin, China
- 2024.11, ShanCheng Conference 2024，SMIless: Serving DAG-based Inference with Dynamic Invocations under Serverless Computing. Chongqing, China
- 2024.11, SC 2024，SMIless: Serving DAG-based Inference with Dynamic Invocations under Serverless Computing. Atlanta, USA
- 2023.07, ChinaSys 2023 Summer, Understanding and Optimizing Workloads for Unified Resource Management in Large Cloud Platforms. Wuhan, China
🧑🎨 Teaching
- 2021 Winter, Teaching Assistant. Computer Network, SIAT.
💻 Internships
- 2022.02-2024.12, University of Macau, Reseach Assistant.
- 2020.01-2021.02, Alibaba Group, Reseach Intern.
💼 Service
- FAISys 2025 PC Member.
- ICWS 2025 PC Member.