Guojun Wu

Ding, Y. ., Zhou, X. ., Wu, G. ., Li, Y. ., Bao, J. ., Zheng, Y. ., & Luo, J. . (2019). Mining Spatio-temporal Reachable Regions With Multiple Sources over Massive Trajectory Data. IEEE Transactions on Knowledge and Data Engineering, 1. http://doi.org/10.1109/TKDE.2019.2959531

Wu, G. ., Li, Y. ., & Luo, J. . (2019). Transforming Policy via Reward Advancement. In 2019 IEEE 58th Conference on Decision and Control (CDC) (p. 6). http://doi.org/10.1109/CDC40024.2019.9029286

Zhang, Z. ., Yue, Y. ., Wu, G. ., Li, Y. ., & Zhang, H. . (2021). SBO-RNN: Reformulating Recurrent Neural Networks via Stochastic Bilevel Optimization. In Advances in Neural Information Processing (NeurIPS 2021) (Vol. 34). Retrieved from https://par.nsf.gov/biblio/10326796

Zhang, Z. ., Wu, G. ., Li, Y. ., Yue, Y. ., & Zhou, X. . (2021). Deep Incremental RNN for Learning Sequential Data: A Lyapunov Stable Dynamical System. In 2020 IEEE International Conference on Data Mining (ICDM) (p. 10). http://doi.org/10.1109/ICDM51629.2021.00108