Obserwuj
Guojun Wu
Guojun Wu
Bytedance
Zweryfikowany adres z wpi.edu
Tytuł
Cytowane przez
Cytowane przez
Rok
Mining spatio-temporal reachable regions over massive trajectory data
G Wu, Y Ding, Y Li, J Bao, Y Zheng, J Luo
2017 IEEE 33rd International Conference on Data Engineering (ICDE), 1283-1294, 2017
402017
Human-centric urban transit evaluation and planning
G Wu, Y Li, J Bao, Y Zheng, J Ye, J Luo
2018 IEEE International Conference on Data Mining (ICDM), 547-556, 2018
202018
Learning ride-sourcing drivers’ customer-searching behavior: A dynamic discrete choice approach
J Urata, Z Xu, J Ke, Y Yin, G Wu, H Yang, J Ye
Transportation research part C: emerging technologies 130, 103293, 2021
142021
Data-driven inverse learning of passenger preferences in urban public transits
G Wu, Y Ding, Y Li, J Luo, F Zhang, J Fu
2017 IEEE 56th Annual Conference on Decision and Control (CDC), 5068-5073, 2017
122017
Effects of friends' information interaction on travel decisions
LIU Tianliang, C Zhang, W Tiange, WU Guojun
Journal of Transportation Systems Engineering and Information Technology 13 …, 2013
102013
A Joint Inverse Reinforcement Learning and Deep Learning Model for Drivers' Behavioral Prediction
G Wu, Y Li, S Luo, G Song, Q Wang, J He, J Ye, X Qie, H Zhu
Proceedings of the 29th ACM International Conference on Information …, 2020
52020
Deep incremental rnn for learning sequential data: A lyapunov stable dynamical system
Z Zhang, G Wu, Y Li, Y Yue, X Zhou
2021 IEEE International Conference on Data Mining (ICDM), 966-975, 2021
42021
SBO-RNN: Reformulating Recurrent Neural Networks via Stochastic Bilevel Optimization
Z Zhang, Y Yue, G Wu, Y Li, H Zhang
Advances in Neural Information Processing Systems 34, 25839-25851, 2021
22021
Mining spatio-temporal reachable regions with multiple sources over massive trajectory data
Y Ding, X Zhou, G Wu, Y Li, J Bao, Y Zheng, J Luo
IEEE Transactions on Knowledge and Data Engineering 33 (7), 2930-2942, 2019
22019
Transforming Policy via Reward Advancement
G Wu, Y Li, J Luo
2019 IEEE 58th Conference on Decision and Control (CDC), 4609-4614, 2019
22019
Complex Sequential Modeling
G Wu
Worcester Polytechnic Institute, 2021
2021
Learning Lightweight Neural Networks via Channel-Split Recurrent Convolution
G Wu, Y Yue, Y Li, Z Zhang
2021
System and method for determining passenger-seeking ride-sourcing vehicle navigation
KE Jintao, G Wu, Z Xu, H Yang, Y Yin, J Ye
US Patent 11,094,028, 2021
2021
Reward Advancement: Transforming Policy under Maximum Causal Entropy Principle
G Wu, Y Li, Z Liu, J Bao, Y Zheng, J Ye, J Luo
arXiv preprint arXiv:1907.05390, 2019
2019
Learning ride-sourcing drivers’ customer-searching
J Urata, Z Xu, J Ke, Y Yin, G Wu, H Yang, J Ye
Nie można teraz wykonać tej operacji. Spróbuj ponownie później.
Prace 1–15