Achieving Application-Level Utility Max-Min Fairness of Bandwidth Allocation in Datacenter Networks. - Wangying Ye; Fei Xu 009; Wei Zhang (CollaborateCom, 2015)

When Software Defined Networks Meet Fault Tolerance: A Survey. - Jue Chen; Jinbang Chen; Fei Xu 009; Min Yin; Wei Zhang (ICA3PP (3), 2015)

Heterogeneity and Interference-Aware Virtual Machine Provisioning for Predictable Performance in the Cloud. - Fei Xu 009; Fangming Liu; Hai Jin 001 (IEEE Trans. Computers, 2016)

iSpot: Achieving Predictable Performance for Big Data Analytics with Cloud Transient Servers. - Fei Xu 009; Huan Jiang; Haoyue Zheng; Wujie Shao (ISPA/IUCC, 2017)

UFalloc: Towards Utility Max-min Fairness of Bandwidth Allocation for Applications in Datacenter Networks. - Fei Xu 009; Wangying Ye; Yuhan Liu; Wei Zhang (Mob. Networks Appl., 2017)

Interference and Topology-Aware VM Live Migrations in Software-Defined Networks. - Yiling Qin; Lun Zhang; Fei Xu 009; Daidong Luo (HPCC/SmartCity/DSS, 2019)

Stage Delay Scheduling: Speeding up DAG-style Data Analytics Jobs with Resource Interleaving. - Wujie Shao; Fei Xu 009; Li Chen 019; Haoyue Zheng; Fangming Liu (ICPP, 2019)

Cynthia: Cost-Efficient Cloud Resource Provisioning for Predictable Distributed Deep Neural Network Training. - Haoyue Zheng; Fei Xu 009; Li Chen 019; Zhi Zhou 006; Fangming Liu (ICPP, 2019)

Winning at the Starting Line: Joint Network Selection and Service Placement for Mobile Edge Computing. - Bin Gao; Zhi Zhou 006; Fangming Liu; Fei Xu 009 (INFOCOM, 2019)

Cost-Effective Cloud Server Provisioning for Predictable Performance of Big Data Analytics. - Fei Xu 009; Haoyue Zheng; Huan Jiang; Wujie Shao; Haikun Liu; Zhi Zhou 006 (IEEE Trans. Parallel Distributed Syst., 2019)

E-LAS: Design and Analysis of Completion-Time Agnostic Scheduling for Distributed Deep Learning Cluster. - Abeda Sultana; Li Chen 019; Fei Xu 009; Xu Yuan 001 (ICPP, 2020)

Towards trusted and efficient SDN topology discovery: A lightweight topology verification scheme. - Xinli Huang; Peng Shi; Yufei Liu; Fei Xu 009 (Comput. Networks, 2020)

AMPS-Inf: Automatic Model Partitioning for Serverless Inference with Cost Efficiency. - Jananie Jarachanthan; Li Chen 019; Fei Xu 009; Bo Li 001 (ICPP, 2021)

Prophet: Speeding up Distributed DNN Training with Predictable Communication Scheduling. - Zhenwei Zhang; Qiang Qi; Ruitao Shang; Li Chen 019; Fei Xu 009 (ICPP, 2021)

Astra: Autonomous Serverless Analytics with Cost-Efficiency and QoS-Awareness. - Jananie Jarachanthan; Li Chen 019; Fei Xu 009; Bo Li 001 (IPDPS, 2021)

Rationing bandwidth resources for mitigating network resource contention in distributed DNN training clusters. - Qiang Qi; Fei Xu 009; Li Chen 019; Zhi Zhou 006 (CCF Trans. High Perform. Comput., 2021)

Cost-Efficient Continuous Edge Learning for Artificial Intelligence of Things. - Lin Jia; Zhi Zhou 006; Fei Xu 009; Hai Jin 001 (IEEE Internet Things J., 2022)

λDNN: Achieving Predictable Distributed DNN Training With Serverless Architectures. - Fei Xu 009; Yiling Qin; Li Chen 019; Zhi Zhou 006; Fangming Liu (IEEE Trans. Computers, 2022)

An Online Framework for Joint Network Selection and Service Placement in Mobile Edge Computing. - Bin Gao; Zhi Zhou 006; Fangming Liu; Fei Xu 009; Bo Li 001 (IEEE Trans. Mob. Comput., 2022)

Astrea: Auto-Serverless Analytics Towards Cost-Efficiency and QoS-Awareness. - Jananie Jarachanthan; Li Chen 019; Fei Xu 009; Bo Li 001 (IEEE Trans. Parallel Distributed Syst., 2022)

Eiffel: Efficient and Fair Scheduling in Adaptive Federated Learning. - Abeda Sultana; Md. Mainul Haque; Li Chen 019; Fei Xu 009; Xu Yuan 001 (IEEE Trans. Parallel Distributed Syst., 2022)

DAG-Aware Optimization for Geo-Distributed Data Analytics. - Qingyuan Wang 005; Bin Gao; Zhi Zhou 006; Fei Xu 009; Chenghao Ouyang (ICPP, 2023)

ACTS: Autonomous Cost-Efficient Task Orchestration for Serverless Analytics. - Jananie Jarachanthan; Li Chen 019; Fei Xu 009 (IWQoS, 2023)

spotDNN: Provisioning Spot Instances for Predictable Distributed DNN Training in the Cloud. - Ruitao Shang; Fei Xu 009; Zhuoyan Bai; Li Chen 019; Zhi Zhou 006; Fangming Liu (IWQoS, 2023)

COUPLE: Accelerating Video Analytics on Heterogeneous Mobile Processors. - Hao Bao; Zhi Zhou 006; Jiajie Xie; Qianyi Huang; Fei Xu 009; Xu Chen 004 (MobiCom, 2023)

iGniter: Interference-Aware GPU Resource Provisioning for Predictable DNN Inference in the Cloud. - Fei Xu 009; Jianian Xu; Jiabin Chen; Li Chen 019; Ruitao Shang; Zhi Zhou 006; Fangming Liu (IEEE Trans. Parallel Distributed Syst., 2023)

COUPLE: Orchestrating Video Analytics on Heterogeneous Mobile Processors. - Hao Bao; Zhi Zhou 006; Fei Xu 009; Xu Chen 004 (ICDE, 2024)

FedClust: Tackling Data Heterogeneity in Federated Learning through Weight-Driven Client Clustering. - Md Sirajul Islam; Simin Javaherian; Fei Xu 009; Xu Yuan 001; Li Chen 019; Nian-Feng Tzeng (ICPP, 2024)

FedClust: Optimizing Federated Learning on Non-IID Data Through Weight-Driven Client Clustering. - Md Sirajul Islam; Simin Javaherian; Fei Xu 009; Xu Yuan 001; Li Chen 019; Nian-Feng Tzeng (IPDPS (Workshops), 2024)

Hadar: Heterogeneity-Aware Optimization-Based Online Scheduling for Deep Learning Cluster. - Abeda Sultana; Fei Xu 009; Xu Yuan 001; Li Chen 019; Nian-Feng Tzeng (IPDPS, 2024)

HarmonyBatch: Batching multi-SLO DNN Inference with Heterogeneous Serverless Functions. - Jiabin Chen; Fei Xu 009; Yikun Gu; Li Chen 019; Fangming Liu; Zhi Zhou 006 (IWQoS, 2024)

Tetris: Proactive Container Scheduling for Long-Term Load Balancing in Shared Clusters. - Fei Xu 009; Xiyue Shen; Shuohao Lin; Li Chen 019; Zhi Zhou 006; Fen Xiao; Fangming Liu (IEEE Trans. Serv. Comput., 2024)

Taming Serverless Cold Start of Cloud Model Inference With Edge Computing. - Kongyange Zhao; Zhi Zhou 006; Lei Jiao 002; Shen Cai; Fei Xu 009; Xu Chen 004 (IEEE Trans. Mob. Comput., 2024)

Espresso: Cost-Efficient Large Model Training by Exploiting GPU Heterogeneity in the Cloud. - Qiannan Zhou; Fei Xu 009; Lingxuan Weng; Ruixing Li; Xudong Wu; Li Chen; Zhi Zhou; Fangming Liu (INFOCOM, 2025)

SEAFL: Enhancing Efficiency in Semi-Asynchronous Federated Learning Through Adaptive Aggregation and Selective Training. - Md Sirajul Islam; Sanjeev Panta; Fei Xu 009; Xu Yuan 001; Li Chen 019; Nian-Feng Tzeng (IPDPS, 2025)

Multi-Width Neural Network-Assisted Hierarchical Federated Learning in Heterogeneous Cloud-Edge-Device Computing. - Haizhou Wang; Guobing Zou; Fei Xu 009; Yangguang Cui; Tongquan Wei (ACM Multimedia, 2025)

Microns: Connection Subsetting for Microservices in Shared Clusters. - Jianxiong Liao; Juntao Li 002; Zhi Zhou 006; Fei Xu 009; Fangming Liu; Xu Chen 004 (SIGMETRICS (Abstracts), 2025)

Opara: Exploiting Operator Parallelism for Expediting DNN Inference on GPUs. - Aodong Chen; Fei Xu 009; Li Han 001; Yuan Dong; Li Chen 019; Zhi Zhou 006; Fangming Liu (IEEE Trans. Computers, 2025)

Cooling as You Wish: Component-Level Cooling for Heterogeneous Edge Datacenters. - Fangming Liu; Qiangyu Pei; Shutong Chen; Yongjie Yuan; Qixia Zhang; Xinhui Zhu; Ziyang Jia; Fei Xu 009; Dong Zhang; Bingheng Yan (IEEE Trans. Computers, 2026)

PatternInsight: An Online Approach to Complex Pattern Detection Over Mobile Data Streams. - Xudong Wu; Yuyang Ren; Zhenhua Li 001; Fei Xu 009; Yunhao Liu 001; Guihai Chen (IEEE Trans. Mob. Comput., 2026)

Resource Heterogeneity-Aware and Utilization-Enhanced Scheduling for Deep Learning Clusters. - Abeda Sultana; Nabin Pakka; Fei Xu 009; Xu Yuan 001; Li Chen 019; Nian-Feng Tzeng (IEEE Trans. Computers, 2026)