Edge Resource Autoscaling for Hierarchical Federated Learning Over Public Edge Platforms. - Mingliao Zhao; Kongyange Zhao; Zhi Zhou 006; Xu Chen 004 (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta, 2022)

Cost-Efficient Serverless Inference Serving with Joint Batching and Multi-Processing. - Shen Cai; Zhi Zhou 006; Kongyange Zhao; Xu Chen 004 (APSys, 2023)

Cost-Efficient Cloud-Edge Video Analytics with Hybird IaaS and FaaS Resources. - Jing Peng; Zhi Zhou 006; Kongyange Zhao; Huirong Ma; Xu Chen 004 (ICPADS, 2023)

Dynamic Edge-centric Resource Provisioning for Online and Offline Services Co-location. - Tao Ouyang; Kongyange Zhao; Xiaoxi Zhang 001; Zhi Zhou 006; Xu Chen 004 (INFOCOM, 2023)

QoS-aware Resource Optimization for Hierarchical Cross-Edge Video Analytics. - Kongyange Zhao; Zhi Zhou 006; Tao Ouyang; Mingliao Zhao; Hao Wang; Xu Chen 004 (SECON, 2023)

EdgeAdaptor: Online Configuration Adaption, Model Selection and Resource Provisioning for Edge DNN Inference Serving at Scale. - Kongyange Zhao; Zhi Zhou 006; Xu Chen 004; Ruiting Zhou; Xiaoxi Zhang 001; Shuai Yu 001; Di Wu 001 (IEEE Trans. Mob. Comput., 2023)

Towards Space Intelligence: Adaptive Scheduling of Satellite-Ground Collaborative Model Inference with Space Edge Computing. - Yuanming Wang; Kongyange Zhao; Xiaoxi Zhang 001; Xu Chen 004 (INFOCOM (Workshops), 2024)

Efficient Multi-Task Asynchronous Federated Learning in Edge Computing. - Xinyuan Cao; Tao Ouyang; Kongyange Zhao; Yousheng Li; Xu Chen 004 (IWQoS, 2024)

Edge-assisted Real-time Dynamic 3D Point Cloud Rendering for Multi-party Mobile Virtual Reality. - Ximing Wu; Kongyange Zhao; Xu Chen 004; Teng Liang (ACM Multimedia, 2024)

MIX3D: A Mixed Representation for Communication-Efficient Distributed 3DGS Training. - Ke Luo; Kongyange Zhao; Shengyuan Ye; Tao Ouyang; Xu Chen (MSN, 2024)

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

AdaRAG: Adaptive Optimization for Retrieval Augmented Generation with Multilevel Retrievers at the Edge. - Tao Ouyang; Guihang Hong; Kongyange Zhao; Zhi Zhou 006; Weigang Wu; Zhaobiao Lv; Xu Chen 004 (INFOCOM, 2025)

Online Resource Provisioning and Batch Scheduling for AIoT Inference Serving in an XPU Edge Cloud. - Rongkai Liu; Yuting Wu; Kongyange Zhao; Zhi Zhou 006; Xiang Gao; Xiancheng Lin; Xiaoxi Zhang 001; Xu Chen 004; Gang Lu (IEEE Trans. Emerg. Top. Comput., 2025)

Efficient Coordination of Federated Learning and Inference Offloading at the Edge: A Proactive Optimization Paradigm. - Ke Luo; Kongyange Zhao; Tao Ouyang; Xiaoxi Zhang 001; Zhi Zhou 006; Hao Wang; Xu Chen 004 (IEEE Trans. Mob. Comput., 2025)