Welcome to my homepage! I am a Research Assistant in the Cloud and Distributed Systems (CDS) Lab at University of Macau (2022-Present), 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.
I expect to enter the job market in 2025 and am currently seeking a position in academia or industry to contribute to the advancement of future compute systems. Here is my CV. Feel free to email me if you are interested.
🔥 News
- 2024.07: 🎉🎉 Mudi is accepted by EuroSys 2025.
- 2024.06: 🎉🎉 SMIless is accepted by SC 2024.
📝 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-now, University of Macau, Reseach Assistant.
- 2020.01-2021.02, Alibaba Group, Reseach Intern.
💼 Service
- ICWS 2025 PC Member.