HW3C: A Heuristic based Workload Classification and Cloud Configuration Approach for Big Data Analytics. - Yuewen Wu; Heng Wu 001; Wenbo Zhang 006; Yuanjia Xu; Jun Wei 001; Hua Zhong 001 (Internetware, 2018)

Dockerfile TF Smell Detection Based on Dynamic and Static Analysis Methods. - Jiwei Xu; Yuewen Wu; Zhigang Lu 004; Tao Wang 030 (COMPSAC (1), 2019)

An Acceleration Method for Docker Image Update. - Zhigang Lu 004; Yuewen Wu; Jiwei Xu; Tao Wang 030 (ICFC, 2019)

Wukong: Heuristic-Based Framework for Generating Generic-API for JointCloud. - Yuanjia Xu; Heng Wu 001; Haijun Li; Yuewen Wu; Shijun Qin; Tianze Huang (SOSE, 2019)

An Empirical Case Study on the Temporary File Smell in Dockerfiles. - Zhigang Lu 004; Jiwei Xu; Yuewen Wu; Tao Wang 030; Tao Huang 001 (IEEE Access, 2019)

A framework to support multi-cloud collaboration. - Lei Hua; Ting Tang; Heng Wu 001; Yuewen Wu; He Liu; Yuanjia Xu; Wenbo Zhang 006 (SERVICES, 2020)

Configurable In-Database Similarity Search of Electronic Medical Records. - Yuewen Wu; Yong Zhang; Jiacheng Wu (WISA, 2021)

Talos: A Weighted Speedup-Aware Device Placement of Deep Learning Models. - Yuanjia Xu; Heng Wu 001; Wenbo Zhang 006; Chen Yang; Yuewen Wu; Heran Gao; Tao Wang 030 (ASAP, 2021)

Best VM Selection for Big Data Applications across Multiple Frameworks by Transfer Learning. - Yuewen Wu; Heng Wu 001; Yuanjia Xu; Yi Hu; Wenbo Zhang 006; Hua Zhong 007; Tao Huang 001 (ICPP, 2021)

Apollo: Rapidly Picking the Optimal Cloud Configurations for Big Data Analytics Using a Data-Driven Approach. - Yuewen Wu; Yuanjia Xu; Heng Wu 001; Lin-Gang Su; Wenbo Zhang 006; Hua Zhong 007 (J. Comput. Sci. Technol., 2021)

Serving unseen deep learning models with near-optimal configurations: a fast adaptive search approach. - Yuewen Wu; Heng Wu 001; Diaohan Luo; Yuanjia Xu; Yi Hu; Wenbo Zhang 006; Hua Zhong 007 (SoCC, 2022)

Adaptive Sliding Mode Attitude Control of Quadrotor UAVs Based on the Delta Operator Framework. - Bo-Chao Zheng; Yuewen Wu; Hui Li; Zhipeng Chen (Symmetry, 2022)

SPLIT: QoS-Aware DNN Inference on Shared GPU via Evenly-Sized Model Splitting. - Diaohan Luo; Tian Yu; Yuewen Wu; Heng Wu 001; Tao Wang 030; Wenbo Zhang 006 (ICPP, 2023)

Topology-Aware Self-Adaptive Resource Provisioning for Microservices. - Hao Zeng; Tao Wang 030; An Li; Yuewen Wu; Heng Wu 001; Wenbo Zhang 006 (ICWS, 2023)

Hydra: Deadline-Aware and Efficiency-Oriented Scheduling for Deep Learning Jobs on Heterogeneous GPUs. - Zichao Yang; Heng Wu 001; Yuanjia Xu; Yuewen Wu; Hua Zhong 001; Wenbo Zhang 006 (IEEE Trans. Computers, 2023)

ETS: Deep Learning Training Iteration Time Prediction based on Execution Trace Sliding Window. - Zichao Yang; Hao Guo; Heng Wu 001; Yuewen Wu; Hua Zhong 007; Wenbo Zhang 006; Chuan Zhou; Yan Liu (HPDC, 2024)

Tarp-data. - Tao Wang 030; Hao Zeng; Jiahao Huang; Yuewen Wu; Heng Wu 001; Wenbo Zhang 006 (IEEE DataPort, 2024)