I am a PhD student at Data Science and Analytics(DSA) Thrust of Information Hub in Hong Kong University of Science and Technology(HKUST), advised by Prof. Qiong LUO staring from September 2021. Before that, I obtained my M.Sc. degree in Big Data Technology from HKUST, and received my B.Eng. degree in Software Engineering from Sun Yat-sen University.
My research interests are in the field of parallel and distributed systems, GPU acceleration, natural language processing, and deep learning. Currently I’m working on accelerating the training of trillion-scale transformer language models on hundreds of GPUs.
Education
- B.Eng., Software Engineering, Sun Yat-sen University, Sept. 2013 - June 2017
- M.Sc., Big Data Technology, Hong Kong University of Science and Technology, Sept. 2020 - June 2021
- PhD, Data Science and Analytics, Hong Kong University of Science and Technology, Sept. 2021 - Present
Experience
- Summer Intern at PaddlePaddle, Baidu Inc, July 2021 - Sept. 2021
- Algorithm Engineer in autonomous driving perception, Waytous Co., Ltd., July 2019 - Sept. 2020
- Algorithm Engineer in medical image processing, DeepCare Co., Ltd., July 2017 - Jan. 2019
Teaching Assistant
- MSBD5009 Parallel Programming (Spring 2022)
Publication
- Chen, Long, Xuemin Hu, Tong Xu, Hulin Kuang, and Qingquan Li. “Turn signal detection during nighttime by CNN
detector and perceptual hashing tracking.” IEEE Transactions on Intelligent Transportation Systems 18, no. 12 (2017): 33033314. - Wang, Guojun, Jian Wu, Tong Xu, and Bin Tian. “3D Vehicle Detection With RSU LiDAR for Autonomous Mine.”
IEEE Transactions on Vehicular Technology 70, no. 1 (2021): 344355.
Hobbies and Interests
Badminton, Hiking, Photography and Reading.