Jingyuan Wang, the leader of BIGSCity, is an Assocaite Professor in School of Computer Science and Engineering, Beihang University. He got his Ph.D. degree in 2011 from Computer Science Department, Tsinghua University. He published more than 20 papers on top journals and conferences, as well as named inventor on several granted CN and US patents. His research interests include AI, data mining, and urban computing.

• 2016 - present    Associate Professor in Beihang University (BUAA), Beijing, China
• 2011 - 2016          Assistant Professor in Beihang University (BUAA), Beijing, China
• 2011    Received PhD degree from Tsinghua University, Beijing, China
• 2009    Visiting Student at Hong Kong Unversity of Science & Technology
• 2006    Received the B.S. degree from Beijing Institute of Technology, Beijing, China

Fintech & Econometrics

• J. Wang, Y. Zhang, K. Tang, J. Wu, Z. Xiong, “AlphaStock: A Buying-Winners-and-Selling-Losers Investment Strategy using Deep Reinforcement Attention Networks,” in KDD’19.
• K. Feng, H. Hang, K. Tang, J. Wang, “Decision Making with Machine Learning and ROC Curves,” working paper. ArXiv SSRN
  

Spatio-temporal Data Mining & Urban Computing

• J. Wang, N. Wu, X. Zhao, Fanzhang Peng, and Xin Lin, “Empowering A∗ Search Algorithms with Neural Networks for Personalized Route Recommendation,” in KDD’19.
• J. Wang, J. Wu, Z. Wang, F. Gao, and Z. Xiong, “Understanding Urban Dynamics via Context-aware Tensor Factorization with Neighboring Regularization,” in TKDE to appear. paper
  

• J. Wang, K. Feng, and J. Wu, “SVM-based deep stacking networks,” in AAAI’19.
• S. Guo, C. Chen, J. Wang, Y. Liu, K. Xu, D. Zhang, and D. M. Chiu, “A simple but quantifiable approach to dynamic price prediction in ride-on-demand services leveraging multi-source urban data,” in UbiComp’18.
• J. Wang, X. Wang, and J. Wu, “Inferring metapopulation propagation network for intra-city epidemic control and prevention,” in KDD’18.
• J. Wang, Z. Wang, J. Li, and J. Wu, “Multilevel wavelet decomposition network for interpretable time series analysis,” in KDD’18. code
• J. Wang, X. He, Z. Wang, J. Wu, N. J. Yuan, X. Xie, and Z. Xiong, “CD-CNN: A partially supervised cross-domain deep learning model for urban resident recognition,” in AAAI’18.
• J. Wang, C. Chen, J. Wu, and Z. Xiong, “No longer sleeping with a bomb: A duet system for protecting urban safety from dangerous goods,” in KDD’17.
• J. Wang, Y. Lin, J. Wu, Z. Wang, and Z. Xiong, “Coupling implicit and explicit knowledge for customer volume prediction.” in AAAI’17.
• J. Wang, Q. Gu, J. Wu, G. Liu, and Z. Xiong, “Traffic speed prediction and congestion source exploration: A deep learning method,” in ICDM’16.
• J. Wang, F. Gao, P. Cui, C. Li, and Z. Xiong, “Discovering urban spatio-temporal structure from time-evolving traffic networks,” in APWeb’14.
• J. Wang, Y. Mao, J. Li, Z. Xiong, and W.-X. Wang, “Predictability of road traffic and congestion in urban areas,” PloS one, vol. 10, no. 4, p. e0121825, 2015.
• Z. Zhai, B. Liu, J. Wang, H. Xu, and P. Jia, “Product feature grouping for opinion mining,” IEEE Intelligent Systems, vol. 27, no. 4, pp. 37–44, 2012.
• C. Yin, Z. Xiong, H. Chen, J. Wang, D. Cooper, and B. David, “A literature survey on smart cities,” Science China Information Sciences, vol. 58, no. 10, pp. 1–18, 2015.

Transportation Protocols for Big Data 

• W. Jing, D. Tong, Y. Wang, J. Wang, Y. Liu, and P. Zhao, “MaMR: High-performance mapreduce programming model for material cloud applications,” Computer Physics Communications, vol. 211, pp. 79–87, 2017.
• J. Wang, J. Wen, J. Zhang, Z. Xiong, and Y. Han, “TCP-FIT: An improved TCP algorithm for heterogeneous networks,” Journal of Network and Computer Applications, vol. 71, pp. 167–180, 2016.
• J. Wang, J. Wen, C. Li, Z. Xiong, and Y. Han, “DC-Vegas: A delay-based TCP congestion control algorithm for datacenter applications,” Journal of Network and Computer Applications, vol. 53, pp. 103–114, 2015.
• J. Wang, J. Wen, Y. Han, J. Zhang, C. Li, and Z. Xiong, “CUBIC-FIT: A high performance and TCP CUBIC friendly congestion control algorithm,” IEEE Communications Letters, vol. 17, no. 8, pp. 1664–1667, 2013.
• J. Wang, J. Wen, J. Zhang, and Y. Han, “TCP-FIT: An improved TCP congestion control algorithm and its performance,” in INFOCOM’11.
• J. Wang, H. Li, Z. Zhai, X. Chen, and S. Yang, “An improved tcp friendly rate control algorithm for wireless networks,” IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, vol. 94, no. 11, pp. 2295–2305, 2011.

• National Natural Science Foundation of China: IoT & Social Computing
• National Natural Science Foundation of China: Urban Computing
• National Natural Science Foundation of China: Datacenter Congestion Control
• National High-tech R&D Program (863 Program): Smartcity
• Science and Technology Foundation of Beihang University: Data Ming
  
• Open Project Program of State Key Laboratory: Smartcity

• Jingyuan Wang; Jiangtao Wen; Yuxing Han. TCP congestion control for heterogeneous networks. Appl. No.: 13/085,516. Patent No.: US 8,547,839 B2. Date of Patent: Oct. 1, 2013
• Jingyuan Wang; Jiangtao Wen; Yuxing Han. TCP congestion control for heterogeneous networks. Appl. No.: 14/021,218.  Pub. No.: US 2013/0343187 A1. Pub. Date: Dec. 26, 2013

• Publication Chair of the 2013 International Conference on Cloud and Service Computing (CSC2013)
• Web Chair of the 28th ACM International Conference on Information and Knowledge Management (CIKM2019)
• TPC Member of BigDataScience 2014, AAAI 2017, AAAI 2018,  AAAI 2019, IJCAI 2017, KDD 2018
• Managing Editor of Frontiers of Computer Science Journal
• Reviewer: ACM IMWUT/UbiComp, IEEE T-PAMI, IEEE T-ITS, IEEE T-COM, ACM T-IST, DMKD, Computers, Environment and Urban Systems, IEEE ACCESS, IEEE T-CSVT and etc.