Các bài viết có thể truy cập công khai - Guojun WuTìm hiểu thêm
Có tại một số nơi: 9
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
Các cơ quan ủy nhiệm: US National Science Foundation, National Natural Science Foundation of China
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
Các cơ quan ủy nhiệm: US National Science Foundation, National Natural Science Foundation of China …
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
Các cơ quan ủy nhiệm: US National Science Foundation
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
Các cơ quan ủy nhiệm: US National Science Foundation
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
Các cơ quan ủy nhiệm: US National Science Foundation, US Department of Transportation
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
Các cơ quan ủy nhiệm: US National Science Foundation, National Natural Science Foundation of China
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
Các cơ quan ủy nhiệm: US National Science Foundation, US National Institutes of Health
Transforming Policy via Reward Advancement
G Wu, Y Li, J Luo
2019 IEEE 58th Conference on Decision and Control (CDC), 4609-4614, 2019
Các cơ quan ủy nhiệm: US National Science Foundation
Learning Lightweight Neural Networks via Channel-Split Recurrent Convolution
G Wu, X Zhang, Z Zhang, Y Li, X Zhou, C Brinton, Z Liu
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023
Các cơ quan ủy nhiệm: US National Science Foundation, US Department of Defense, US Department of …
Chương trình máy tính sẽ tự động xác định thông tin xuất bản và thông tin về nhà tài trợ