Current Visitors:


Publications

 

COVID-19

  • J. Wang, X. Lin, Y. Liu, Qilegeri, K. Feng and H. Lin, “A knowledge transfer model for COVID-19 predicting and non-pharmaceutical intervention simulation,” in Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD'20), Virtual Conference, 2020.8.23-2020.8.27. (Acceptance rate=16.8%, CCF A) read more
  • J. Wang, K. Tang, K. Feng, and W. Lv, "When is the COVID-19 Pandemic Over? Evidence from the Stay-at-home Policy Execution in 106 Chinese Cities," Available at SSRN 3561491, 2020. read more
  • J. Wang, K. Tang, K. Feng, and W. Lv, "High temperature and high humidity reduce the transmission of COVID-19," Available at SSRN 3551767, 2020. read more

Explainable AI

  • J. Wang, X. Wang, C. Li, and J. Wu, "Deep Fuzzy Cognitive Maps for Interpretable Multivariate Time Series Prediction," IEEE Transactions on Fuzzy Systems (TFS), 2020, DOI: 10.1109/TFUZZ.2020.3005293. (IF = 9.518)  read more
  • J. Wang, Y. Wu, M. Li, X. Lin, J. Wu, and C. Li, "Interpretability is a Kind of Safety: An Interpreter-based Ensemble for Adversary Defense," in Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD'20), pp.15-24, Virtual Conference, 2020.8.23-2020.8.27. (Acceptance rate=16.8%, CCF A) read more
  • L. W. Cong, K. Tang, J. Wang, and Y. Zhang, "AlphaPortfolio for Investment and Economically Interpretable AI," Available at SSRN 3554486, 2020. read more
  • J. Wang, K. Feng, and J. Wu, "SVM-Based Deep Stacking Networks," in Proceedings of the AAAI Conference on Artificial Intelligence (AAAI'19), pp.5273-5280, Hawaii, United States, 2019.1.27-2019.2.1. (Acceptance rate=16.2%, CCF A) read more
  • J. Wang, Y. Zhang, K. Tang, J. Wu, and Z. Xiong, "Alphastock: A buying-winners-and-selling-losers investment strategy using interpretable deep reinforcement attention networks," in Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD'19), pp.1900-1908, Alaska, United States, 2019.8.4-2019.8.8. (Acceptance rate=18.4%, CCF A) read more
  • J. Wang, Z. Wang, J. Li, and J. Wu, "Multilevel wavelet decomposition network for interpretable time series analysis," in Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD'18), pp.2437-2446, London, United Kingdom, 2018.8.19-2018.8.23. (Acceptance rate=18.4%, CCF A) read more
  • J. Wang, Q. Gu, J. Wu, G. Liu, and Z. Xiong, "Traffic speed prediction and congestion source exploration: A deep learning method," 2016 IEEE 16th International Conference on Data Mining (ICDM'16), pp.499-508, Barcelona, Spain, 2016.12.12-2016.12.15. (Acceptance rate=8.6%) read more
  • J. Wang, Y. Mao, J. Li, Z. Xiong, and W.-X. Wang, "Predictability of road traffic and congestion in urban areas," PloS one (PloS one), vol. 10, no. 4, pp.e0121825, 2015. (IF=2.776)  read more

 

Fintech & Econometrics

  • L. W. Cong, K. Tang, J. Wang, and Y. Zhang, "AlphaPortfolio for Investment and Economically Interpretable AI," Available at SSRN 3554486, 2020. read more
  • J. Wang, Y. Zhang, K. Tang, J. Wu, and Z. Xiong, "Alphastock: A buying-winners-and-selling-losers investment strategy using interpretable deep reinforcement attention networks," in Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD'19), pp.1900-1908, Alaska, United States, 2019.8.4-2019.8.8. (Acceptance rate=18.4%, CCF A) read more
  • H. Hong, X. Lin, K. Tang, and J. Wang, "Artificial-Intelligence Assisted Decision Making: A Statistical Framework," Available at SSRN 3508224, 2019. read more
  • K. Feng, H. Hong, K. Tang, and J. Wang, "Decision Making with Machine Learning and ROC Curves," Available at SSRN 3382962, 2019. read more

 

Spatio-temporal Data Mining & Urban Computing

  • N. Wu, X. W. Zhao, J. Wang, and D. Pan, "Learning Effective Road Network Representation with Hierarchical Graph Neural Networks," in Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD'20), pp.6-14, Virtual Conference, 2020.8.23-2020.8.27. (Acceptance rate=16.8%, CCF A)  read more
  • S. Guo, C. Chen, J. Wang, Y. Liu, X. Ke, Z. Yu, D. Zhang, and D.-M. Chiu, "Rod-revenue: Seeking strategies analysis and revenue prediction in ride-on-demand service using multi-source urban data," IEEE Transactions on Mobile Computing (TMC), 2019, DOI: 10.1109/TMC.2019.2921959. (IF=4.474, CCF A) read more
  • S. Guo, C. Chen, J. Wang, Y. Liu, K. Xu, and D. M. Chiu, "Fine-grained dynamic price prediction in ride-on-demand services: Models and evaluations," Mobile Networks Applications (MNA), vol. 25, no. 2, pp.505-520, 2020. read more
  • N. Wu, J. Wang, W. X. Zhao, and Y. Jin, "Learning to Effectively Estimate the Travel Time for Fastest Route Recommendation," in Proceedings of the 28th ACM International Conference on Information and Knowledge Management (CIKM'19), pp.1923-1932, Beijing, China, 2019.11.3-2019.11.7. (Acceptance rate=19.4%) read more
  • J. Wang, N. Wu, X. Lu, X. Zhao, and K. Feng, "Deep Trajectory Recovery with Fine-Grained Calibration using Kalman Filter," IEEE Transactions on Knowledge Data Engineering (TKDE), 2019, DOI: 10.1109/TKDE.2019.2940950. (IF=4.935, CCF A) read more
  • J. Wang, N. Wu, W. X. Zhao, F. Peng, and X. Lin, "Empowering A* search algorithms with neural networks for personalized route recommendation," in Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD'19), pp.539-547, Alaska, United States, 2019.8.4-2019.8.8. (Acceptance rate=18.4%, CCF A) read more code
  • J. Wang, J. Wu, Z. Wang, F. Gao, and Z. Xiong, "Understanding urban dynamics via context-aware tensor factorization with neighboring regularization," IEEE Transactions on Knowledge Data Engineering (TKDE), vol. 32, no. 11, pp.14, 2020. (IF=4.935, CCF A) read more
  • S. Guo, C. Chen, J. Wang, Y. Liu, K. Xu, and D. M. Chiu, "Dynamic price prediction in ride-on-demand service with multi-source urban data," in Proceedings of the 15th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (MobiQuitous'18), pp.412-421, New York, United States, 2018.11. read more
  • 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 Proceedings of the ACM on Interactive, Mobile, Wearable Ubiquitous Technologies (IMWUT'18), pp.1-24, Singapore, 2018.10.8-2018.10.12. (CCF A) read more
  • J. Wang, X. Wang, and J. Wu, "Inferring metapopulation propagation network for intra-city epidemic control and prevention," in Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD'18), pp.830-838, London, United Kingdom, 2018.8.19-2018.8.23. (Acceptance rate=18.4%, CCF A) read more
  • 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 Proceedings of the AAAI Conference on Artificial Intelligence (AAAI'18), pp.192-199, Louisiana, United States, 2018.2.2-2018.2.7. (Acceptance rate=24.6%, CCF A) read more
  • 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 Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'17), pp.1673-1681, Nova Scotia, Canada, 2017.8.13-2017.8.17. (Acceptance rate=17.4%, CCF A) read more
  • J. Wang, Y. Lin, J. Wu, Z. Wang, and Z. Xiong, "Coupling Implicit and Explicit Knowledge for Customer Volume Prediction," in Proceedings of the AAAI Conference on Artificial Intelligence (AAAI'17), pp.1569-1575, San Francisco, United States, 2017.2.4-2017.2.9. (Acceptance rate=24.6%, CCF A) read more
  • J. Wang, Q. Gu, J. Wu, G. Liu, and Z. Xiong, "Traffic speed prediction and congestion source exploration: A deep learning method," 2016 IEEE 16th International Conference on Data Mining (ICDM'16), pp.499-508, Barcelona, Spain, 2016.12.12-2016.12.15. (Acceptance rate=8.6%) read more
  • J. Wang, Y. Mao, J. Li, Z. Xiong, and W.-X. Wang, "Predictability of road traffic and congestion in urban areas," PloS one (PloS one), vol. 10, no. 4, pp.e0121825, 2015. (IF=2.776) read more
  • C. Yin, Z. Xiong, H. Chen, J. Wang, D. Cooper, and B. David, "A literature survey on smart cities," Science China Information Sciences (SCIS), vol. 58, no. 10, pp.1-18, 2015.   read more
  • J. Wang, F. Gao, P. Cui, C. Li, and Z. Xiong, "Discovering urban spatio-temporal structure from time-evolving traffic networks," Asia-Pacific Web Conference (APWeb'14), pp.93-104, Changsha, China, 2014.9.5-2014.9.7.read more
  • Z. Zhai, B. Liu, J. Wang, H. Xu, and P. Jia, "Product feature grouping for opinion mining," IEEE Intelligent Systems (IS), vol. 27, no. 4, pp.37-44, 2011.  read more

 

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 (CPC), vol. 211, pp.79-87, 2017.  read more
  • J. Wang, J. Wen, J. Zhang, Z. Xiong, and Y. Han, "TCP-FIT: An improved TCP algorithm for heterogeneous networks," Journal of Network Computer Applications (JNCA), vol. 71, pp.167-180, 2016. read more
  • 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 Computer Applications (JNCA), vol. 53, pp.103-114, 2015. (IF=5.273) read more
  • 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 (CL), vol. 17, no. 8, pp.1664-1667, 2013. read more
  • J. Wang, J. Wen, J. Zhang, and Y. Han, "TCP-FIT: An improved TCP congestion control algorithm and its performance," in Proceedings of IEEE International Conference on Computer Communications and Networks (ICCCN'11), pp.2894-2902, Shanghai, China, 2011.4.11-2011.4.15. read more
  • 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 Computer Sciences (TFECCS), vol. 94, no. 11, pp.2295-2305, 2011.  read more