Workload-Aware Scheduling Across Geo-distributed Data Centers. - Yibo Jin 001; Yuan Gao; Zhuzhong Qian; Mingyu Zhai; Hui Peng; Sanglu Lu (Trustcom/BigDataSE/ISPA, 2016)

ran-GJS: Orchestrating Data Analytics for Heterogeneous Geo-distributed Edges. - Yibo Jin 001; Zhuzhong Qian; Song Guo 001; Sheng Zhang 001; Xiaoliang Wang 001; Sanglu Lu (ICPP, 2018)

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)

Resource-Efficient and Convergence-Preserving Online Participant Selection in Federated Learning. - Yibo Jin 001; Lei Jiao 002; Zhuzhong Qian; Sheng Zhang 001; Sanglu Lu; Xiaoliang Wang 001 (ICDCS, 2020)

Provisioning Edge Inference as a Service via Online Learning. - Yibo Jin 001; Lei Jiao 002; Zhuzhong Qian; Sheng Zhang 001; Ning Chen 010; Sanglu Lu; Xiaoliang Wang 001 (SECON, 2020)

Risk Minimization Against Transmission Failures of Federated Learning in Mobile Edge Networks. - Yuting Yan; Songhua Liu; Yibo Jin 001; Zhuzhong Qian; Sheng Zhang 001; Sanglu Lu (IEEE Access, 2020)

TRAN: Task Replication with Guarantee via Multi-armed Bandit. - Yitong Zhou; Bowen Peng; Jingmian Wang; Weiwei Miao; Zeng Zeng; Yibo Jin 001; Sheng Zhang 001; Zhuzhong Qian (ICPADS, 2021)

Learning for Learning: Predictive Online Control of Federated Learning with Edge Provisioning. - Yibo Jin 001; Lei Jiao 002; Zhuzhong Qian; Sheng Zhang 001; Sanglu Lu (INFOCOM, 2021)

Edge-assisted Online On-device Object Detection for Real-time Video Analytics. - Mengxi Hanyao; Yibo Jin 001; Zhuzhong Qian; Sheng Zhang 001; Sanglu Lu (INFOCOM, 2021)

Soudain: Online Adaptive Profile Configuration for Real-time Video Analytics. - Kun Wu; Yibo Jin 001; Weiwei Miao; Zeng Zeng; Zhuzhong Qian; Jingmian Wang; Mingxian Zhou; Tuo Cao (IWQoS, 2021)

Service Placement and Bandwidth Allocation for MEC-enabled Mobile Cloud Gaming. - Tuo Cao; Zhuzhong Qian; Kun Wu; Mingxian Zhou; Yibo Jin 001 (WOWMOM, 2021)

Budget-Aware Online Control of Edge Federated Learning on Streaming Data With Stochastic Inputs. - Yibo Jin 001; Lei Jiao 002; Zhuzhong Qian; Sheng Zhang 001; Sanglu Lu (IEEE J. Sel. Areas Commun., 2021)

Cuttlefish: Neural Configuration Adaptation for Video Analysis in Live Augmented Reality. - Ning Chen 010; Siyi Quan; Sheng Zhang 001; Zhuzhong Qian; Yibo Jin 001; Jie Wu 001; Wenzhong Li; Sanglu Lu (IEEE Trans. Parallel Distributed Syst., 2021)

DeepSlicing: Collaborative and Adaptive CNN Inference With Low Latency. - Shuai Zhang; Sheng Zhang 001; Zhuzhong Qian; Jie Wu 001; Yibo Jin 001; Sanglu Lu (IEEE Trans. Parallel Distributed Syst., 2021)

Multi-server Multi-user Game at Edges for Heterogeneous Video Analytics. - Yu Chen 038; Sheng Zhang 001; Yibo Jin 001; Zhuzhong Qian; Sanglu Lu (ICC, 2022)

Learning for Crowdsourcing: Online Dispatch for Video Analytics with Guarantee. - Yu Chen 038; Sheng Zhang 001; Yibo Jin 001; Zhuzhong Qian; Mingjun Xiao; Ning Chen 010; Zhi Ma 002 (INFOCOM, 2022)

RCM: Residue-aware Consolidation for Heterogeneous MLaaS Cluster. - Kefeng Wu; Chunlei Xu; Mingming Zhang; Xiongfeng Hu; Yibo Jin 001; Zhuzhong Qian (IPCCC, 2022)

User-Perceived QoE Adaptation for Accelerated Playback in Mobile Video Streaming. - Xiongfeng Hu; Yibo Jin 001; Kefeng Wu; Zhuzhong Qian; Sanglu Lu (MSN, 2022)

Energy-efficient Federated Learning via Stabilization-aware On-device Update Scaling. - Suwei Xu; Yibo Jin 001; Zhuzhong Qian; Sheng Zhang 001; Ming Zhao; Zhenjie Lin; Qiang Lin; Liming Wang (SECON, 2022)

Focus! Provisioning Attention-aware Detection for Real-time On-device Video Analytics. - Yuting Yan; Yibo Jin 001; Sheng Zhang 001; Fangwen Cheng; Zhuzhong Qian; Sanglu Lu (SECON, 2022)

Adaptive provisioning for mobile cloud gaming at edges. - Tuo Cao; Yibo Jin 001; Xiongfeng Hu; Sheng Zhang 001; Zhuzhong Qian; Baoliu Ye; Sanglu Lu (Comput. Networks, 2022)

Inference replication at edges via combinatorial multi-armed bandit. - Yitong Zhou; Hesheng Sun; Yibo Jin 001; Yanfang Zhu; Yuan Li; Zhuzhong Qian; Sheng Zhang 001; Sanglu Lu (J. Syst. Archit., 2022)

Adaptive Configuration Selection and Bandwidth Allocation for Edge-Based Video Analytics. - Sheng Zhang 001; Can Wang; Yibo Jin 001; Jie Wu 001; Zhuzhong Qian; Mingjun Xiao; Sanglu Lu (IEEE/ACM Trans. Netw., 2022)

LOCUS: User-Perceived Delay-Aware Service Placement and User Allocation in MEC Environment. - Yu Chen 038; Sheng Zhang 001; Yibo Jin 001; Zhuzhong Qian; Mingjun Xiao; Jidong Ge; Sanglu Lu (IEEE Trans. Parallel Distributed Syst., 2022)

$run$ runData: Re-Distributing Data via Piggybacking for Geo-Distributed Data Analytics Over Edges. - Yibo Jin 001; Zhuzhong Qian; Song Guo 001; Sheng Zhang 001; Lei Jiao 002; Sanglu Lu (IEEE Trans. Parallel Distributed Syst., 2022)

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)

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)

Orchestrating Blockchain with Decentralized Federated Learning in Edge Networks. - Yibo Jin 001; Lei Jiao 002; Zhuzhong Qian; Ruiting Zhou; Lingjun Pu (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)

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)

ViChaser: Chase Your Viewpoint for Live Video Streaming With Block-Oriented Super-Resolution. - Ning Chen 010; Sheng Zhang 001; Zhi Ma 002; Yu Chen 038; Yibo Jin 001; Jie Wu 001; Zhuzhong Qian; Yu Liang 001; Sanglu Lu (IEEE/ACM Trans. Netw., 2024)

Crowdsourcing Upon Learning: Energy-Aware Dispatch With Guarantee for Video Analytics. - Yu Chen 038; Sheng Zhang 001; Yibo Jin 001; Zhuzhong Qian; Mingjun Xiao; Wenzhong Li; Yu Liang 001; Sanglu Lu (IEEE Trans. Mob. Comput., 2024)

Spatial and Temporal Detection With Attention for Real-Time Video Analytics at Edges. - Yuting Yan; Sheng Zhang 001; Yibo Jin 001; Fangwen Cheng; Zhuzhong Qian; Sanglu Lu (IEEE Trans. Mob. Comput., 2024)

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)