My name is Yiding Wang, a Computer Science PhD from the Hong Kong University of Science and Technology, advised by Professor Kai Chen.
My research interests include machine learning systems, especially in promoting the efficiency of ML training and serving with learning-based techniques.
I received the Bachelor degree in 2017 from Shanghai Jiao Tong University.
Publications
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Tabi: An Efficient Multi-Level Inference System for Large Language Models
Yiding Wang, Kai Chen, Haisheng Tan, Kun Guo
EuroSys 2023 Paper, ACM, Slides -
Egeria: Efficient DNN Training with Knowledge-Guided Layer Freezing
Yiding Wang, Decang Sun, Kai Chen, Fan Lai, Mosharaf Chowdhury
EuroSys 2023 Paper, ACM, Slides -
Enabling Edge-Cloud Video Analytics for Robotic Applications
Yiding Wang, Weiyan Wang, Duowen Liu, Xin Jin, Junchen Jiang, Kai Chen
Transactions on Cloud Computing 2022 Paper, IEEE
The TCC version extends Runespoor (INFOCOM ‘21). -
Enabling Edge-Cloud Video Analytics for Robotic Applications
Yiding Wang, Weiyan Wang, Duowen Liu, Xin Jin, Junchen Jiang, Kai Chen
INFOCOM 2021 Paper, Slides, Video, Code, IEEE -
Bridging the Edge-Cloud Barrier for Real-time Advanced Vision Analytics
Yiding Wang, Weiyan Wang, Junxue Zhang, Junchen Jiang, Kai Chen
HotCloud 2019 Paper, USENIX
CloudSeg is the workshop version of Runespoor (INFOCOM ‘21). -
Ashman: A Bandwidth Fragmentation-Based Dynamic Flow Scheduling for Data Center Networks
Tao Song, Yuchen Liu, Yiding Wang, Ruhui Ma, Alei Liang, Zhengwei Qi, Haibing Guan
The Computer Journal 2017
Experience
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Researcher
Huawei Noah’s Ark Lab
September 2023 - Now, Hong Kong -
Software Engineer Intern
Intel BigDL Project
August 2016 - January 2017, Shanghai, China
Education
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PhD in Computer Science
Hong Kong University of Science and Technology
September 2017 - April 2023 -
Bachelor of Engineering in Instrument Science
School of Electronics, Information and Electrical Engineering
Shanghai Jiao Tong University
September 2013 - July 2017
Teaching
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Spring 2020, COMP3511 Operating System, TA
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Fall 2018, COMP1022P Introduction to Computing with Java, TA
Awards & Grants
- 2023, Research Travel Grant, HKUST
- 2021, INFOCOM Conference Grant, IEEE
- 2019, SIGCOMM Travel Grant, ACM
- 2019, Research Travel Grant, HKUST
- 2018, APNet Travel Grant, ACM
- 2017 - 2023, Postgraduate Studentship, HKUST
- 2016, Excellent Students Awards (Top 15%), SJTU
- 2016, Merit Student, SJTU
- 2015 & 2016, Academic Progress Scholarship, SJTU