Neiwen Ling
Neiwen Ling is currently a Postdoctoral Associate in the Efficient Computing Lab at Yale, working with Prof. Lin Zhong. She completed her Ph.D.(2022) at the Chinese University of Hong Kong, under the supervision of Prof. Guoliang Xing. She also works closely with Prof. Nan Guan and Prof. Zhenyu Yan.
Her research falls in the intersection of Edge Computing, Machine Learning and Real-time System. She focuses on the intelligence and real-time capabilities of edge devices, with a goal of developing real-time systems for AI applications such as smart city and autonomous driving. She has published papers at several ACM/IEEE flagship conferences (e.g., SenSys, IPSN, MobiSys, and IoTDI), and received the ACM SenSys 2022 Best Paper Award Finalist and the ACM SenSys 2022 Best Poster Award. She has served as the reviewer or program committee member for several ACM/IEEE flagship journals/conferences, including TMC, IMWUT/UbiComp, TOSN, CHASE 2023, INFOCOM 2024, and IoTDI 2023 (Poster & Demo track).
News
Oct 16, 2023 | Two papers accepted by SenSys 2023 |
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Jan 20, 2023 | One paper accepted by IPSN 2023 |
Dec 10, 2022 | One paper accepted by HotMobile 2023 |
Nov 16, 2022 | One paper accepted by DATE 2023 |
Nov 9, 2022 | Receive Best Poster Award of SenSys 2022 |
Selected Publications
- MobiCom’24Soar: Design and Deployment of A Smart Roadside Infrastructure System for Autonomous DrivingThe 30th Annual International Conference on Mobile Computing And Networking (ACM MobiCom 2024) 2024