I am a fourth year Ph.D student in computer science and technology at Harbin Institute of Technology (HIT) under Prof. Wangmeng Zuo. I was a visiting student in computer science at University of California, Merced, department of EECS under Prof. Ming-Hsuan Yang from Oct. 2016 to Oct. 2017. I received my B.S. in computer science and technology from Harbin Institute of Technology (HIT) in 2013.

My research interests include visual object tracking, video analysis and related computer vision and machine learning problems. 

Email: xhwu.cpsl.hit [at] gmail [dot] com


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.

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.

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

Omara, Ibrahim, Xiaohe Wu, Hongzhi Zhang, Yong Du, and Wangmeng Zuo. "Learning Pairwise SVM on Hierarchical Deep Features for Ear Recognition." IET Biometrics, 2018.

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.

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.

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.