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Xin Zhang
Xin Zhang
Assistant Professor, San Diego State University
Verified email at illinois.edu - Homepage
Title
Cited by
Cited by
Year
f-gail: Learning f-divergence for generative adversarial imitation learning
X Zhang, Y Li, Z Zhang, ZL Zhang
Advances in neural information processing systems 33, 12805-12815, 2020
272020
Unveiling taxi drivers' strategies via cgail: Conditional generative adversarial imitation learning
X Zhang, Y Li, X Zhou, J Luo
2019 IEEE International Conference on Data Mining (ICDM), 1480-1485, 2019
272019
cGAIL: Conditional Generative Adversarial Imitation Learning—An Application in Taxi Drivers’ Strategy Learning
X Zhang, Y Li, X Zhou, J Luo
IEEE transactions on big data 8 (5), 1288-1300, 2020
122020
Trajgail: Trajectory generative adversarial imitation learning for long-term decision analysis
X Zhang, Y Li, X Zhou, Z Zhang, J Luo
2020 IEEE International Conference on Data Mining (ICDM), 801-810, 2020
82020
Dac-ml: domain adaptable continuous meta-learning for urban dynamics prediction
X Zhang, Y Li, X Zhou, O Mangoubi, Z Zhang, V Filardi, J Luo
2021 IEEE International Conference on Data Mining (ICDM), 906-915, 2021
32021
Imitation Learning From Inconcurrent Multi-Agent Interactions
X Zhang, W Huang, Y Li, R Liao, Z Zhang
2021 60th IEEE Conference on Decision and Control (CDC), 43-48, 2021
12021
Learning Decision Making Strategies of Non-experts: A NEXT-GAIL Model for Taxi Drivers
M Pan, X Zhang, Y Li, X Zhou, J Luo
Proceedings of the 29th International Conference on Advances in Geographic …, 2021
12021
ST-iFGSM: Enhancing Robustness of Human Mobility Signature Identification Model via Spatial-Temporal Iterative FGSM
M Hu, X Zhang, Y Li, X Zhou, J Luo
the 29th SIGKDD conference on Knowledge Discovery and Data Mining (KDD 2023), 2023
2023
Human Behavior Analysis via Generative Adversarial Imitation Learning
X Zhang
University of Minnesota, 2023
2023
Domain Disentangled Meta-Learning
X Zhang, Y Li, Z Zhang, ZL Zhang
Proceedings of the 2023 SIAM International Conference on Data Mining (SDM …, 2023
2023
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
2023
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