When Learning Joins Edge: Real-Time Proportional Computation Offloading via Deep Reinforcement Learning. - Ning Chen 010; Sheng Zhang 001; Zhuzhong Qian; Jie Wu 001; Sanglu Lu (ICPADS, 2019)

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)

VCMaker: Content-aware configuration adaptation for video streaming and analysis in live augmented reality. - Ning Chen 010; Sheng Zhang 001; Siyi Quan; Zhi Ma 002; Zhuzhong Qian; Sanglu Lu (Comput. Networks, 2021)

Learning scheduling bursty requests in Mobile Edge Computing using DeepLoad. - Ning Chen 010; Sheng Zhang 001; Jie Wu 001; Zhuzhong Qian; Sanglu Lu (Comput. Networks, 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)

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)

Towards Revenue-Driven Multi-User Online Task Offloading in Edge Computing. - Zhi Ma 002; Sheng Zhang 001; Zhiqi Chen; Tao Han 002; Zhuzhong Qian; Mingjun Xiao; Ning Chen 010; Jie Wu 001; Sanglu Lu (IEEE Trans. Parallel Distributed Syst., 2022)

Dependent Task Offloading and Service Caching with State Management for Mobile Edge Computing. - Zhi Ma 002; Sheng Zhang 001; Ning Chen 010; Zhuzhong Qian; Qing Gu 001; Yu Liang 001; Sanglu Lu (ICC, 2023)

BIRP: Batch-aware Inference Workload Redistribution and Parallel Scheme for Edge Collaboration. - Hesheng Sun; Xinyi Chen; Zhuzhong Qian; Zengji Li; Ning Chen 010; Tuo Cao; Suwei Xu; Yitong Zhou (ICPP, 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)

ResMap: Exploiting Sparse Residual Feature Map for Accelerating Cross-Edge Video Analytics. - Ning Chen 010; Shuai Zhang; Sheng Zhang 001; Yuting Yan; Yu Chen 038; Sanglu Lu (INFOCOM, 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)

MACRO: Incentivizing Multi-Leader Game-Based Pareto-Efficient Crowdsourcing for Video Analytics. - Yu Chen 038; Sheng Zhang 001; Ziying Zhou; Xiaokun Wang 002; Yu Liang 001; Ning Chen 010; Yuting Yan; Mingjun Xiao; Jie Wu 001; Zhuzhong Qian; Harry Xu 001 (ICDE, 2024)

TileSR: Accelerate On-Device Super-Resolution with Parallel Offloading in Tile Granularity. - Ning Chen 010; Sheng Zhang 001; Yu Liang 001; Jie Wu 001; Yu Chen 038; Yuting Yan; Zhuzhong Qian; Sanglu Lu (INFOCOM, 2024)

VisFlow: Adaptive Content-Aware Video Analytics on Collaborative Cameras. - Yuting Yan; Sheng Zhang 001; Xiaokun Wang 002; Ning Chen 010; Yu Chen 038; Yu Liang 001; Mingjun Xiao; Sanglu Lu (INFOCOM, 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)

AdaPyramid: Adaptive Pyramid for Accelerating High-Resolution Object Detection on Edge Devices. - Xiaohang Shi 001; Sheng Zhang 001; Jie Wu 001; Ning Chen 010; Ke Cheng; Yu Liang 001; Sanglu Lu (IEEE Trans. Mob. Comput., 2024)

Mystique: User-Level Adaptation for Real-Time Video Analytics in Edge Networks via Meta-RL. - Xiaohang Shi 001; Sheng Zhang 001; Meizhao Liu; Lingkun Meng; Liu Wei; Yingcheng Gu; Kai Liu 043; Huanyu Cheng; Yu Song; Lei Tang; Andong Zhu 001; Ning Chen 010; et al. (IEEE Trans. Mob. Comput., 2025)