Hao WANG
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Assistant Professor |
News
[04 2021] I have joined Shenzhen University as an Assistant Professor!
[03 2021] I left Tencent.
[04 2019] I joined Tencent as a senior researcher.
[03 2019] I left City University of Hong Kong.
[10 2018] I worked at City University of Hong Kong as a researcher assistant.
[07 09 2018] I completed my doctoral oral defense at City University of Hong Kong.
About me
I am an assistant professor of Shenzhen University. Before that, I was a Senior Researcher in Corporate Development Group at Tencent Co. Ltd. I received the Ph.D. degree from City University of HongKong, HongKong, China, in 2019. I received the B.S. and M.S. degrees from Zhengzhou University, Henan, China, in 2012 and 2015, respectively.
Research Interests
My researchs focus on Machine Learning, Deep learning, and Data Mining
Education
Ph.D. in Electrical Engineering, City University of Hong Kong, Sep. 2015 - Oct. 2019
M.S. in Physical Electronics, Zhengzhou University, Sep. 2012 - Jun. 2015
B.S. in Electronic Information Science and Technology, Zhengzhou University, Sep. 2008 - Jun. 2012
Projects
Project supported by NSFC (Grant No. 62206178), Grant Holder, 300K RMB, 2023-2025
Guangdong Provincial Natural Science Foundation (Grant No. 2025A1515012015), Grant Holder, 100K RMB, 2025-2027
Shenzhen Stability Support Project, Grant Holder, 150K RMB, 2024-2025
Scientific Research Staring Foundation for talent in Shenzhen, Grant Holder, 2.70M RMB, 2019-2024
Young Research Staring Foundation by Shenzhen University, Grant Holder, 50K RMB, 2022
Patents
National Invention Patent of China: Subway Passenger Flow Prediction Method, Device, and Storage Medium Based on Node Query Set, Application or Patent Number: 202310689724.0, Inventors: Wang Hao, He Zhihao, He Yuxin, Cao Wenming
National Invention Patent of China: Electricity Forecasting Method, Device, and Storage Medium Based on Deep Learning, Application or Patent Number: 202310687810.8, Inventors: Wang Hao, Song Xiaobao, Chen Zuosheng, Deng Liwei, Zhang Yao'an
National Invention Patent of China: Traffic Data Recovery and Anomaly Detection Method Based on Non-negative Matrix Factorization of Features, Application Number: 202310831403.X, Inventors: Wang Hao, Yu Linfang, He Yuxin, He Zhiquan, Cao Wenming
National Invention Patent of China: Artificial Neural Network Model Compression Method and Device Based on L0 Norm, Application Number: 202310831532.9, Inventors: Wang Hao, Chen Enhao, He Zhiquan, Cao Wenming
National Invention Patent of China: Face Image Processing Method, Device, and Computer-Readable Storage Medium, Application Number: 202211599005.1, Inventors: Wang Hao, He Yuxin, He Zhiquan, Cao Wenming
Books
Chief Editor: Cao Wenming, Wang Hao; Associate Editors: Quan Zhi, He Zhiquan, Wen Yang, “Theory and Practice of Deep Learning”, (ISBN 978-7-3026-3466-9), Tsinghua University Press, January 2024, 79.80.
Chief Editors: Li Yanshan, Wang Hao, Wen Yang, “Artificial Intelligence Laboratory Manual”, (ISBN 978-7-5606-6762-1), Xi'an University of Electronic Science and Technology Press, April 2023, 23.
Awards
Second Prize, University-Level Competition of the 5th National College Teaching Innovation Contest, 2025
Excellent Class Advisor Award, Shenzhen University, 2024
Teaching Excellence Award (Individual Category), Shenzhen University, 2024
Outstanding Instructor of College Student Computer Design Competition, Guangdong, 2023
Outstanding Young Teacher of Shenzhen University, Shenzhen University, 2022
C-level Shenzhen high-level professional talents, Shenzhen University, 2019-2024
Excellent staff of Tencent, Tencent, 2020
UGC Scholarships from Hong Kong Government, City University of Hong Kong,2015-2018
Outstanding Thesis Award of Zhengzhou University, Zhengzhou University, 07/2015
My Students
Current postgraduate student: Xiaobao SONG, Pu ZHOU, Chenyu GUAN, Hongjie LUO, Zhuobin JIANG, Fan YANG
Graduated postgraduate student: Wanying ZHANG, Linfang YU(Outstanding Graduate of SZU), Jinpeng CAO(Outstanding Graduate of SZU), Enhao CHEN
Current undergraduate student: Xinhe NIU, Junhao TAN, Yeji HUANG, Hongbo QIU, Yonghao WANG, Xuhao LIU, Keran QIAO, Mengqin ZHANG
Graduated undergraduate student: Xiaobao SONG, Zuosheng CHEN, Yaoan ZHANG, Liwei DEN