Imbalance in the cloud: An analysis on Alibaba cluster trace. - Chengzhi Lu; Kejiang Ye; Guoyao Xu; Cheng-Zhong Xu 001; Tongxin Bai (IEEE BigData, 2017)

Modeling Application Performance in Docker Containers Using Machine Learning Techniques. - Kejiang Ye; Yanmin Kou; Chengzhi Lu; Yang Wang 006; Cheng-Zhong Xu 001 (ICPADS, 2018)

ADGS: Anomaly Detection and Localization Based on Graph Similarity in Container-Based Clouds. - Chengzhi Lu; Kejiang Ye; Wenyan Chen 001; Cheng-Zhong Xu 001 (ICPADS, 2019)

Interference Analysis of Co-Located Container Workloads: A Perspective from Hardware Performance Counters. - Wen-Yan Chen 001; Kejiang Ye; Chengzhi Lu; Dongdai Zhou; Cheng-Zhong Xu 001 (J. Comput. Sci. Technol., 2020)

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 001 (SoCC, 2021)

RPTCN: Resource Prediction for High-dynamic Workloads in Clouds based on Deep Learning. - Wenyan Chen 001; Chengzhi Lu; Kejiang Ye; Yang Wang 006; Cheng-Zhong Xu 001 (CLUSTER, 2021)

Neuroprotective Effect of Monosialotetrahexosylganglioside (GM1) on Patients with Parkinson's Disease Anesthetized by Ketamine under Denoising Algorithm-Based Ultrasound Image Diagnosis. - Weili Wang; Mingwei Huang; Tingting Lin; Chengzhi Lu; Jiandong Liu (Sci. Program., 2021)

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; Cheng-Zhong Xu 001 (IEEE Trans. Parallel Distributed Syst., 2022)

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 001 (EuroSys, 2023)

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 001; Kejiang Ye (ICWS, 2024)

SMIless: Serving DAG-based Inference with Dynamic Invocations under Serverless Computing. - Chengzhi Lu; Huanle Xu; Yudan Li; Wenyan Chen 001; Kejiang Ye; Chengzhong Xu 001 (SC, 2024)

Multiplexing Dynamic Deep Learning Workloads with SLO-awareness in GPU Clusters. - Wenyan Chen 001; Chengzhi Lu; Huanle Xu; Kejiang Ye; Chengzhong Xu 001 (EuroSys, 2025)