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Computer Science and Artificial Intelligence

Xiaoqin Zhang



Xiaoqin Zhang


Institute of Automation, Chinese Academy of Sciences, Beijing, P. R. China

Ph.D, Pattern recognition and intelligent system, July 2010

  • Dissertation: "Object tracking and pose estimation under complex scenes"

  • Advisor: Professor Weiming Hu & Professor Stephen Maybank

Central South University, Hu'nan, Changsha, P. R. China

B.E., Electronic Engineering, June, 2005

  • Dissertation: “Active shape model based facial feature localization”

  • Advisor: Professor Hong Qiao & Professor Stan Li

Professional Experiences

Dean, Professor, College of Computer Science and Artifcial Intelligence, Wenzhou University,

Jun., 2019 - present

Vice Dean, Professor, College of Mathematics & Information Science, Wenzhou University, Jan. 2016 - May., 2019

Visiting Researcher, Department of Computer Science, Technical University of Munich, Jan.,

2016 - Aug., 2016

Visiting Researcher, Center for Imaging Science, Johns Hopkins University., Mar., 2015 -

Apr., 2015

StarTrack Program, Microsoft Research Asia, Feb., 2013 - Aug., 2013

Associate Professor at Wenzhou University, Sep., 2012 - Jan., 2016

Assistant Professor at Wenzhou University, Sep., 2010 - Aug., 2012

Visiting Student at Kyoto University, Sep., 2009 - Oct., 2009

Intern at Intel China Research Center, Beijing, China Apr. 2008 - Jul. 2008

Research interests

Computer vision, Pattern recognition, Machine learning

  1. Xiaoqin Zhang, Jinxin Wang, Tao Wang, Runhua Jiang, Hierarchical Feature Fusion with

Mixed Convolution Attention for Single Image Dehazing. IEEE Transactions on Circuits

and Systems or Video Technology, 2021.

  1. Luming Zhang, Ge Su, Jianwei Yin, Ying Li, Qiuru Lin, Xiaoqin Zhang*, and Ling Shao,

Bioinspired Scene Classifcation by Deep Active Learning With Remote Sensing Applications.

IEEE Transactions on Cybernetics, 2021.

  1. Luming Zhang, Xiaoqin Zhang*, Mingliang Xu, and Ling Shao, Massive-scale Aerial Photo

Categorization by Cross-resolution Visual Perception Enhancement. IEEE Transactions

on Neural Networks and Learning Systems, 2021.

  1. Linwei Ye, Mrigank Rochan, Zhi Liu, Xiaoqin Zhang, Yang Wang, Referring Segmentation

in Images and Videos with Cross-Modal Self-Attention Network. IEEE Transactions on

Pattern Analysis and Machine Intelligence, 2021.

  1. Tao Wang, Li Zhao, Pengcheng Huang, Xiaoqin Zhang, Jiawei Xu, Haze Concentration

Adaptive Network for Image Dehazing. Neurocomputing, vol. 439, pp. 75-85, 2021.

  1. Pengcheng Huang, Li Zhao, Runhua Jiang, Tao Wang, Xiaoqin Zhang*, Self-fltering mage

Dehazing with Self-supporting Module. Neurocomputing, vol. 432, pp. 57-69, 2021.

  1. Xiaoqin Zhang, Runhua Jiang, Chenxiang Fan, Tianyu Tong, Tao Wang, and Pengcheng

Huang, Advances in Deep Learning Methods for Visual Tracking: Literature Review and

Fundamentals. International Journal of Automation and Computing, 2020

  1. Wenhan Luo, Junliang Xing, Anton Milan, Xiaoqin Zhang, Wei Liu and Tae-KyunKim,

Multiple Object Tracking: A Literature Review. Artifcial Intelligence, 2020.

  1. Xiaoqin Zhang, Jinxin Wang, Tao Wang, Runhua Jiang, Jiawei Xu, Li Zhao*, Robust Fea

ture Learning for Adversarial Defense via Hierarchical Feature Alignment. Information

Sciences, 2020.

  1. Jiawei Xu, Seop Hyeong Park, Xiaoqin Zhang*, Jie Hu, The Improvement of Road Driv

ing Safety Guided by Visual Inattentional Blindness. IEEE Transactions on Intelligent

Transportation Systems, 2020.


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