How Does the Workload Look Like in Production Cloud? Analysis and Clustering of Workloads on Alibaba Cluster Trace. - Wenyan Chen 001; Kejiang Ye; Yang Wang 006; Guoyao Xu; Cheng-Zhong Xu 001 (ICPADS, 2018)

Co-Locating Online Workload and Offline Workload in the Cloud: An Interference Analysis. - Wenyan Chen 001; Kejiang Ye; Cheng-Zhong Xu 001 (HPCC/SmartCity/DSS, 2019)

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)

HySync: Hybrid Federated Learning with Effective Synchronization. - Guomei Shi; Li Li 064; Jun Wang 001; Wenyan Chen 001; Kejiang Ye; Chengzhong Xu 001 (HPCC/DSS/SmartCity, 2020)

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)

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)

Interference-aware Multiplexing for Deep Learning in GPU Clusters: A Middleware Approach. - Wenyan Chen 001; Zizhao Mo; Huanle Xu; Kejiang Ye; Chengzhong Xu 001 (SC, 2023)

Interference-aware Multiplexing for Deep Learning in GPU Clusters: A Middleware Approach. - Wenyan Chen 001; Zizhao Mo; Huanle Xu; Kejiang Ye; Chengzhong Xu 001 (Zenodo, 2023)

EINS: Edge-Cloud Deep Model Inference with Network-Efficiency Schedule in Serverless. - Shijie Peng; Yanying Lin; Wenyan Chen 001; Yingfei Tang; Xu Duan; Kejiang Ye (CSCWD, 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)