关于我
Shuoyao Wang received the B.Eng. degree (with first class Hons.) and the Ph.D degree in information engineering from The Chinese University of Hong Kong, Hong Kong, in 2013 and 2018, respectively. From 2018 to 2020, he was an senior researcher with Financial Technology Group, Tencent, Shenzhen, China. Since 2020, he has been with the College of Electronic and Information Engineering, Shenzhen University, Shenzhen, China, where he is currently an Assistant Professor. His research interests include optimization theory, operational research, and machine learning in Multimedia Processing, Smart Grid, and Communications.
News
Oct 2020:
Jobs available on our lab (hosted by Prof.Wenhua Ding, academician of Chinese Academy of Engineering): Postdoc research fellow positions for PhD graduate under 3 years experience are available on image/multimedia processing and multimedia communication. The annual salary starts from 340K CNY plus bonus and benefit. Interested candidate please send your resume and three representative publications to my email. A research associate position is open to candidate with more than 3 years of research experience after PhD graduation. Please contact me for position details.
April 2020:
Our paper “Interpretable multimodal learning for intelligent regulation in online payment systems” is accepted by IJCAI 2020.
March 2020:
Our paper “Locational detection of false data injection attack in smart grid: a multi-label classification approach” is accepted by IEEE Internet of Things Journal. The data and implementation cound be find in github.
个人经历
以下是我成长的足迹
深圳大学
2020 － 至今
助理教授
腾讯
2018 － 2020
高级研究员
香港中文大学
2009 - 2018
本科 博士 博士后研究员
Publications
Journal- S. Wang, S. Bi, and Y. J. Zhang, “Locational detection of false data injection attack in smart grid: a multi-label classification approach,” IEEE Internet of Things Journal, DOI:10.1109/JIOT.2020.2983911, March 2020.[Github] (IF=9.515)
- S. Wang, S. Bi, and Y. J. Zhang, “Reinforcement learning for real-time pricing and scheduling control in EV charging stations,” IEEE Transactions on Industrial Informatics, DOI:10.1109/TII.2019.2950809, November 2019.[Github] (IF=7.377)
- S. Wang, S. Bi, and Y. J. Zhang, “Demand response management for profit maximizing energy loads in real-time electricity market,” IEEE Transactions on Power Systems, vol. 33, no. 6, pp. 6387-6396, November 2018. (IF=6.807)
- S. Wang, S. Bi, Y. J. Zhang, and J. W. Huang, “Electrical vehicle charging station profit maximization: admission, pricing, and online Scheduling,” IEEE Transactions on Sustainable Energy, vol. 9, no. 4, pp. 1722-1731, October 2018. (IF=7.65) [Published Version][Full Version with Proof]
- S. Wang and D. Zhu, “Interpretable multimodal learning for intelligent regulation in online payment systems,” International Joint Conference on Artificial Intelligence (IJCAI), Yokohama, Japan, July 2020. (CCF-A) [PDF]
- S. Wang, S. Bi, and Y. J. Zhang, “A reinforcement learning approach for EV charging station dynamic pricing and scheduling control,” IEEE Power & Energy Society General Meeting (PESGM), Portland, OR, USA, August 2018.
- S. Wang, S. Bi, and Y. J. Zhang, “The impacts of energy customers demand response on real-time electricity market participants,” IEEE International Conference on Communications (ICC), Kansas City, MO, USA, May 2018.
- S. Wang, Text classification with heterogeneous random walk and network embedding, 2019-08-16，China Patent 2019107607855
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Copyright 2019