| 2025 | ICPP | Scheduling based on Block Features for Concurrent Inference with Unseen DNN Models on GPU. | Diaohan Luo, Zhen Tang, Heran Gao, Yuewen Wu, Heng Wu, Xi Han, Wenbo Zhang |
| 2024 | HPDC | ETS: Deep Learning Training Iteration Time Prediction based on Execution Trace Sliding Window. | Zichao Yang, Hao Guo, Heng Wu, Yuewen Wu, Hua Zhong, Wenbo Zhang, Chuan Zhou, Yan Liu |
| 2023 | ICPP | SPLIT: QoS-Aware DNN Inference on Shared GPU via Evenly-Sized Model Splitting. | Diaohan Luo, Tian Yu, Yuewen Wu, Heng Wu, Tao Wang, Wenbo Zhang |
| 2023 | ICWS | Topology-Aware Self-Adaptive Resource Provisioning for Microservices. | Hao Zeng, Tao Wang, An Li, Yuewen Wu, Heng Wu, Wenbo Zhang |
| 2022 | CLOUD | Serving unseen deep learning models with near-optimal configurations: a fast adaptive search approach. | Yuewen Wu, Heng Wu, Diaohan Luo, Yuanjia Xu, Yi Hu, Wenbo Zhang, Hua Zhong |
| 2021 | ICPP | Best VM Selection for Big Data Applications across Multiple Frameworks by Transfer Learning. | Yuewen Wu, Heng Wu, Yuanjia Xu, Yi Hu, Wenbo Zhang, Hua Zhong, Tao Huang |
| 2020 | SERVICES | A framework to support multi-cloud collaboration. | Lei Hua, Ting Tang, Heng Wu, Yuewen Wu, He Liu, Yuanjia Xu, Wenbo Zhang |
| 2019 | COMPSAC | Dockerfile TF Smell Detection Based on Dynamic and Static Analysis Methods. | Jiwei Xu, Yuewen Wu, Zhigang Lu, Tao Wang |