2019- PhD. School of Artificial Intelligence & Automation, Huazhong University of Science and Technology (HUST), Wuhan, China
2015-2019 B. E. Commuication Engeering, College of Electronic and Information Engineering, Southwest University (SWU), Chongqing, China
Machine Learning in Brain-Computer Interfaces, Active Learning, Affective Computing
- Z. Liu, X. Jiang, H. Luo, W. Fang, J. Liu and D. Wu, “Pool-Based Unsupervised Active Learning for Regression Using Iterative Representativeness-Diversity Maximization (iRDM),” Pattern Recognition Letters, 2020, submitted.
- Z. Liu, X. Jiang, D. Wu, “Unsupervised Pool-Based Active Learning for Linear Regression,” Acta Automatica Sinica, 2020, in press.
- X. Jiang, X. Zhang, D. Wu, “Active Learning for Black-Box Adversarial Attacks in EEG-Based Brain-Computer Interfaces,” IEEE Symposium Series on Computational Intelligence, Xiamen, China, December 2019.
- 2019 IEEE Computational Intelligence Society Graduate Student Research Grant