Biography

I join the College of Computer Science and Technology at Harbin Institute of Technology (HIT) as a Post Doctor. I received the B.S. degree degree from Harbin Institute of Technology in 2013. I received Ph.D. degrees from Harbin Institute of Technology supervised by Prof. Wangmeng Zuo in 2019. My research interests include computer visionmachine learning (deep learning), e.g., visual object tracking, image restoration and enhancement.

Address: Room308, Zonghe Buiding, Harbin Institute of Technology, West Dazhi Street N0.92, Nan Gang District, Harbin, 150001, China

Email: xhwu.cpsl.hit@gmail.com

Research Interests:
    Computer vision and machine learning, e.g., object tracking, image restoration and enhancement

Publications (Google Scholar)

    Journal paper
  1. Wangmeng Zuo, Xiaohe Wu, Liang Lin, Lei Zhang, Ming-Hsuan Yang. Learning Support Correlation Filters for Visual Tracking. IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI),  2018. Project page
  2. Xiaohe Wu, Wangmeng Zuo, Yuanyuan Zhu, Liang Lin. F-SVM: combination of feature transformation and SVM learning via convex relaxation. IEEE Transactions on Neural Network and Learning System (T-NNLS), 2018.
  3. Omara, Ibrahim, Xiaohe Wu, Hongzhi Zhang, Yong Du, and Wangmeng Zuo. "Learning Pairwise SVM on Hierarchical Deep Features for Ear Recognition." IET Biometrics, 2018.
  4. Jiazhi, Du, Weigang Lu, Xiaohe Wu, Junyu Dong, and Wangmeng Zuo. "L-SVM: A Radius-margin-based SVM algorithm with LogDet Regularization." Expert Systems with Applications, 2018.
Conference paper:
  1. Yingjie Yao, Xiaohe Wu, Lei Zhang, Shiguang Shan and Wangmeng Zuo, Joint Representation and Truncated Inference Learning for Correlation Filter based Tracking, European Conference on Computer Vision (ECCV), 2018.
  2. Yibing Song, Chao Ma, Xiaohe Wu, Lijun Gong, Linchao Bao, Wangmeng Zuo, Chunhua Shen, Rynson Lau and Ming-Hsuan Yang, VITAL: VIsual Tracking via Adversarial Learning, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018. (Spotlight
  3. Yingjie Yao, Xiaohe Wu, Wangmeng Zuo and David Zhang, Learning Siamese Network with Top-Down Modulation for Visual Tracking, International Conference on Intelligence Science and Big Data Engineering (IScIDE), 2018
  4. Omara, Ibrahim, Xiaohe Wu, Hongzhi Zhang, Yong Du, and Wangmeng Zuo. "Learning pairwise SVM on deep features for ear recognition." In Computer and Information Science (ICIS), pp. 341-346, 2017.
  5. Yuanyuan Zhu, Xiaohe Wu, Jun Xu, David Zhang, Wangmeng Zuo. Radius-margin based support vector machine with LogDet regularization. IEEE International Conference on Machine Learning and Cybernetics (ICMLC), Vol. 1, pp. 277-282, 2015.
Education:
    Ph. D. candidate, Harbin Institute of Technology, 2014.09 - 2019.05
    Major: Computer Science & Technology

    M.S., Harbin Institute of Technology, 2013.09 - 2014.09
    Major: Computer Science & Technology

    B.E., Harbin Institute of Technology, 2009.09 – 2013.07
    Major: Computer Science & Technology (rank 5 out of 126)

Research Experience:
    Research Assistant, Jun 2014 – Aug 2014
    Biometrics Research Centre (UGC/CRC) Hong Kong Polytechnic University

    Visiting Student, Oct 2016 - Oct 2017
    University of California, Merced, CA, USA

Academic Service
    Journal Reviewer
     IEEE Transactions on Neural Networks and Learning Systems
     Pattern Recognition
    Conference Reviewer
     CVPR2018/2019, ECCV2018,ICCV2019, AAAI2019/2020,BMVC2019,ACCV2019