Ning Chen

Orcid: 0000-0003-0722-1757

Affiliations:
  • Soochow University, School of Computer Science and Technology, Suzhou, China
  • Nanjing University, State Key Laboratory for Novel Software Technology, Nanjing, China (PhD)


According to our database1, Ning Chen authored at least 18 papers between 2019 and 2025.

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Bibliography

2025
Mystique: User-Level Adaptation for Real-Time Video Analytics in Edge Networks via Meta-RL.
IEEE Trans. Mob. Comput., May, 2025

2024
AdaPyramid: Adaptive Pyramid for Accelerating High-Resolution Object Detection on Edge Devices.
IEEE Trans. Mob. Comput., August, 2024

ViChaser: Chase Your Viewpoint for Live Video Streaming With Block-Oriented Super-Resolution.
IEEE/ACM Trans. Netw., February, 2024

VisFlow: Adaptive Content-Aware Video Analytics on Collaborative Cameras.
Proceedings of the IEEE INFOCOM 2024, 2024

TileSR: Accelerate On-Device Super-Resolution with Parallel Offloading in Tile Granularity.
Proceedings of the IEEE INFOCOM 2024, 2024

MACRO: Incentivizing Multi-Leader Game-Based Pareto-Efficient Crowdsourcing for Video Analytics.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

2023
Scheduling In-Band Network Telemetry With Convergence-Preserving Federated Learning.
IEEE/ACM Trans. Netw., October, 2023

ResMap: Exploiting Sparse Residual Feature Map for Accelerating Cross-Edge Video Analytics.
Proceedings of the IEEE INFOCOM 2023, 2023

Crowd<sup>2</sup>: Multi-agent Bandit-based Dispatch for Video Analytics upon Crowdsourcing.
Proceedings of the IEEE INFOCOM 2023, 2023

BIRP: Batch-aware Inference Workload Redistribution and Parallel Scheme for Edge Collaboration.
Proceedings of the 52nd International Conference on Parallel Processing, 2023

Dependent Task Offloading and Service Caching with State Management for Mobile Edge Computing.
Proceedings of the IEEE International Conference on Communications, 2023

2022
Towards Revenue-Driven Multi-User Online Task Offloading in Edge Computing.
IEEE Trans. Parallel Distributed Syst., 2022

Learning for Crowdsourcing: Online Dispatch for Video Analytics with Guarantee.
Proceedings of the IEEE INFOCOM 2022, 2022

2021
Cuttlefish: Neural Configuration Adaptation for Video Analysis in Live Augmented Reality.
IEEE Trans. Parallel Distributed Syst., 2021

Learning scheduling bursty requests in Mobile Edge Computing using DeepLoad.
Comput. Networks, 2021

VCMaker: Content-aware configuration adaptation for video streaming and analysis in live augmented reality.
Comput. Networks, 2021

2020
Provisioning Edge Inference as a Service via Online Learning.
Proceedings of the 17th Annual IEEE International Conference on Sensing, 2020

2019
When Learning Joins Edge: Real-Time Proportional Computation Offloading via Deep Reinforcement Learning.
Proceedings of the 25th IEEE International Conference on Parallel and Distributed Systems, 2019


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