Wen Zhang 张稳

Ph.D. Student (Resume)

School of Artificial Intelligence and Automation
Huazhong University of Science and Technology
Wuhan, 430074, China

Email: wenz at hust.edu.cn / wenzn9 at gmail.com

About Me

I am currently a third year (Jun 2020 - Sept 2021) Ph.D. student in School of Artificial Intelligence and Automation, Huazhong University of Science and Technology (HUST), advised by Prof. Dongrui Wu. Before that, I received my B.Eng. in Measurement and Control Technology from Wuhan University of Technology in 2018.

My current research interests mainly focus on weakly supervised learning, safe and privacy-preservation learning, with their applications to vision and human-machine interface.



photo Wen Zhang, Lingfei Deng, Lei Zhang, Dongrui Wu, “A Survey on Negative Transfer,” under review, 2021.


photo Wen Zhang, Dongrui Wu, “Manifold Embedded Knowledge Transfer for Brain-Computer Interfaces,” IEEE Trans. on Neural Systems & Rehabilitation Engineering, 28(5), pp. 1117-1127, 2020.
[paper] [code] [news|科技导报]
photo Wen Zhang, Dongrui Wu, “Discriminative Joint Probability Maximum Mean Discrepancy (DJP-MMD) for Domain Adaptation,” Int'l Joint Conf. on Neural Networks (IJCNN), Glasgow, UK, pp. 1-8, July 2020. (Oral)
[paper] [code] [news|机器之心]



1st Prize, World Robust Contest – BCI Brain-controlled Robot Technical Competition, 2020
Nomination Award, Outstanding Youth Paper of BCI Brain-controlled Robot Competition, 2020
Student Grant, IEEE World Congress on Computational Intelligence (WCCI), 2020
3rd Prize, Shenzhen Int'l Competition for Medical and Health Big Data Innovative Application, 2018
3rd Prize, National Univ. Student Science Contest on Energy Saving & Emission Reduction, 2017
2nd Prize, China (International) Transducer & Sensor Innovation Contest, 2016
National Scholarship, China, 2014, 2015


Programming: Python, Matlab, C/C++
Deep Learning: PyTorch, TensorFlow, Keras

Professional Activities

IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2019)
International Conference on Neural Information Processing (ICONIP 2018-2020)