Run Data Run! Re-Distributing Data via Piggybacking for Geo-Distributed Data Analytics. - Yefei Li; Yibo Jin 001; Haiyang Chen; Wenchao Xi; Mingtao Ji; Sheng Zhang 001; Zhuzhong Qian; Sanglu Lu (ISPA/BDCloud/SocialCom/SustainCom, 2019)

Workload-Aware Scheduling for Data Analytics upon Heterogeneous Storage. - Zhuzhong Qian; Yuan Gao; Mingtao Ji; Hui Peng; Peng Chen; Yibo Jin 001; Sanglu Lu (ISPA/BDCloud/SocialCom/SustainCom, 2019)

SAC: Dynamic Caching upon Sketch for In-Memory Big Data Analytics. - Mingtao Ji; Mingxian Zhou; Haodong Zou; Ming Tang; Zhuzhong Qian; Xiaoliang Wang 001 (BIGCOM, 2023)

INTView: Adaptive Planner for In-Band Network Telemetry without Detours. - Mingtao Ji; Chenwei Su; Yuting Yan; Zhuzhong Qian; Yu Chen 038; Yibo Jin 001; Sheng Zhang 001; Baoliu Ye (ICC, 2023)

Accelerating Federated Learning with Adaptive Extra Local Updates upon Edge Networks. - Yitao Fan; Mingtao Ji; Zhuzhong Qian (ICPADS, 2023)

When CPN Meets AI: Resource Provisioning for Inference Query upon Computing Power Network. - Mingtao Ji; Zhuzhong Qian; Baoliu Ye (ICPADS, 2023)

Crowd2: Multi-agent Bandit-based Dispatch for Video Analytics upon Crowdsourcing. - Yu Chen 038; Sheng Zhang 001; Yuting Yan; Yibo Jin 001; Ning Chen 010; Mingtao Ji; Mingjun Xiao (INFOCOM, 2023)

Adaptive Provisioning In-band Network Telemetry at Computing Power Network [invited]. - Mingtao Ji; Chenwei Su; Yuting Yan; Zhuzhong Qian; Sheng Zhang 001; Yu Chen 038; Tuo Cao; Xiaohang Shi 001; Luis Vasquez; Baoliu Ye (IWQoS, 2023)

Efficient Inference Task Deployment for Enhanced Accuracy at the Edge. - Jia Wu; Wenjie Li; Wenjun Qi; Liming Wang; Yong Zhao; Yonghui Yan; Mingzhu Xu; Longlong Dou; Bo Xu; Runze Ma; Mingtao Ji (PCCNT, 2023)

Incentivizing Edge AI with Accuracy Preserving via Online Randomized Auctions. - Mingtao Ji; Zhixin Zhang; Yuhan Zhang; Zhuzhong Qian; Tuo Cao; Chenwei Su; Baoliu Ye (SECON, 2023)

Scheduling In-Band Network Telemetry With Convergence-Preserving Federated Learning. - Yibo Jin 001; Lei Jiao 002; Mingtao Ji; Zhuzhong Qian; Sheng Zhang 001; Ning Chen 010; Sanglu Lu (IEEE/ACM Trans. Netw., 2023)

Online Scheduling of Federated Learning with In-Network Aggregation and Flow Routing. - Mingtao Ji; Lei Jiao 002; Yitao Fan; Yang Chen 001; Zhuzhong Qian; Ji Qi 005; Gangyi Luo; Baoliu Ye (SECON, 2024)

INTaaS: Provisioning In-band Network Telemetry as a service via online learning. - Mingtao Ji; Chenwei Su; Yitao Fan; Yibo Jin 001; Zhuzhong Qian; Yuting Yan; Yu Chen 038; Tuo Cao; Sheng Zhang 001; Baoliu Ye (Comput. Networks, 2024)

Walking on two legs: Joint service placement and computation configuration for provisioning containerized services at edges. - Tuo Cao; Qinhui Wang; Yuhan Zhang; Zhuzhong Qian; Yue Zeng 002; Mingtao Ji; Hesheng Sun; Baoliu Ye (Comput. Networks, 2024)

CPN meets learning: Online scheduling for inference service in Computing Power Network. - Mingtao Ji; Ji Qi 005; Lei Jiao 002; Gangyi Luo; Hehan Zhao; Xin Li 017; Baoliu Ye; Zhuzhong Qian (Comput. Networks, 2025)

Towards strong continuous consistency in edge-assisted VR-SGs: Delay-differences sensitive online task redistribution. - Yunqi Sun; Hesheng Sun; Tuo Cao; Mingtao Ji; Zhuzhong Qian; Lingkun Meng; Dongxu Wang; Xiangyu Li (Comput. Networks, 2025)

Orchestrating In-Network Aggregation for Distributed Machine Learning via In-Band Network Telemetry. - Mingtao Ji; Yibo Jin 001; Zhuzhong Qian; Tuo Cao; Bao-Liu Ye (J. Comput. Sci. Technol., 2025)

Edge AI Inference as a Service via Dynamic Resources From Repeated Auctions. - Mingtao Ji; Hehan Zhao; Lei Jiao 002; Sheng Zhang 001; Xin Li 017; Zhuzhong Qian; Baoliu Ye (IEEE Trans. Mob. Comput., 2025)