主要研究方向
.边缘智能

研究领域
.人工智能应用边缘化部署与加速
.分布式模型训练与推理
.云边端协同机制

代表作
.Ning Chen, Sheng Zhang, Zhi Ma, Yu Chen, Yibo Jin, Jie Wu, Zhuzhong Qian, Yu Liang, and Sanglu Lu. ViChaser: Chase Your Viewpoint for Live Video Streaming with Block.Oriented Super Resolution. IEEE/ACM TRANSACTIONS ON NETWORKING (TON 2023, CCF A)
.Ning Chen, Sheng Zhang, Yu Liang, Jie Wu, Yu Chen, Yuting Yan, Zhuzhong Qian and Sanglu Lu. TileSR: Accelerate On-Device Super-Resolution with Parallel Offloading in Tile Granularity. IEEE Annual International Conference on Computer Communications (INFOCOM 2024, CCF‑A)
.Ning Chen, Shuai Zhang, Sheng Zhang, Yuting Yan, Yu Chen and Sanglu Lu. ResMap: Exploiting Sparse Residual Feature Map for Accelerating Cross‑Edge Video Analytics. IEEE Annual International Conference on Computer Communications (INFOCOM 2023, CCF‑A)
.Ning Chen, Siyi Quan, Sheng Zhang, Zhuzhong Qian, Yibo Jin, Jie Wu, Wenzhong Li, Sanglu Lu. Cuttlefish: Neural configuration adaptation for video analysis in live augmented reality. IEEE Transactions on Parallel and Distributed Systems (TPDS 2021, CCF A)
.Ning Chen, Sheng Zhang, Siyi Quan, Zhi Ma, Zhuzhong Qian, Sanglu Lu. VCMaker: Content‑aware configuration adaptation for video streaming and analysis in live augmented reality. Elsevier Computer Networks (CN 2021, CCF‑B)

个人简介

陈宁，男，1995年生，博士，讲师，硕士生导师，太阳成集团tyc33455ccwww优秀青年学者。2024年6月博士毕业于南京大学太阳成集团tyc33455ccwww，师从陆桑璐教授和张胜副教授；同年7月进入太阳成集团tyc33455ccwww工作。研究方向为边缘智能，即人工智能应用（如视频分析、视频增强）在网络边缘端的高效部署，具体涉及计算卸载、资源调度、分布式模型训练和推理、云边端协同机制。目前，在权威会议IEEE INFOCOM, ICDE, SECON, ICPP和期刊IEEE/ACM TON, IEEE TPDS, IEEE TMC，Computer Networks上累计发表论文18篇。担任多个期刊和会议审稿人，包括IEEE INFOCOM、IEEE TMC、IEEE MASS等。欢迎对边缘计算、分布式计算、计算机网络、智能视频应用感兴趣的同学加入我们数据智能和网络计算团队。