Real-world ride-hailing vehicle repositioning using deep reinforcement learning Y Jiao, X Tang, ZT Qin, S Li, F Zhang, H Zhu, J Ye Transportation Research Part C: Emerging Technologies 130, 103289, 2021 | 46 | 2021 |
System and method for detecting generated domain T Huang, LI Shuaiji, Y Chang, F Zhang, Z Qin US Patent 10,764,246, 2020 | 16 | 2020 |
Domain Generation Algorithms detection through deep neural network and ensemble S Li, T Huang, Z Qin, F Zhang, Y Chang Companion Proceedings of The 2019 World Wide Web Conference, 189-196, 2019 | 8 | 2019 |
Driver safety education system based on multimedia technology ZACYLI Shuaiji Journal of Transport Information and Safety, 2013 | 6* | 2013 |
A deep value-based policy search approach for real-world vehicle repositioning on mobility-on-demand platforms Y Jiao, X Tang, ZT Qin, S Li, F Zhang, H Zhu, J Ye NeurIPS 2020 Deep Reinforcement Learning Workshop, 2020 | 5 | 2020 |
Active physical inference via reinforcement learning S Li, Y Sun, S Liu, T Wang, TM Gureckis, NR Bramley Proceedings of the 41th Annual Meeting of the Cognitive Science Society …, 2019 | 5 | 2019 |
Systems and methods for dispatching shared rides through ride-hailing platform LI Shuaiji, X Tang, Z Qin US Patent 11,626,021, 2023 | 2 | 2023 |
Systems and methods for repositioning vehicles in a ride-hailing platform LI Shuaiji, X Tang, Z Qin US Patent App. 17/518,192, 2022 | 1 | 2022 |
Systems and methods for repositioning vehicles in a ride-hailing platform LI Shuaiji, Y Jiao, Z Qin US Patent App. 17/186,935, 2022 | | 2022 |
Systems and methods for repositioning vehicles in a ride-hailing platform LI Shuaiji, Y Jiao, Z Qin US Patent App. 17/187,405, 2022 | | 2022 |
Auto Sales Prediction with attention to the Parable of the boiled frog: Functional Data Analysis and Time Series Forecasting. S Li | | 2017 |