Name: Zhao Qingjie
Discipline: Computer Science and Technology
Title: Professor/Doctoral Advisor
Contact number:
E-mail: zhaoqj@bit.edu.cn
Address: School of Computer Science, Beijing Institute of Technology, No.5 Zhongguancun South Street, Haidian District, Beijing Personal Information
Zhao Qingjie, Ph.D., Professor, doctoral supervisor. In January 2003, he graduated from the State Key Laboratory of "Intelligent Technology and System" of the Computer Department of Tsinghua University with a doctorate degree in computer application technology, and his doctoral thesis was awarded the university-level excellent. In the same year, he engaged in teaching and scientific research at the School of Computer Science, Beijing Institute of Technology, during which he spent one year in the Department of Computer Science, University of Essex, UK, and one year in the Department of Information Science, University of Hamburg, Germany, from 2008 to 2009 and 2017-2018 respectively. At present, he is a third-level professor/doctoral supervisor at the School of Computer Science, Beijing Institute of Technology. He used to be the deputy director of the Institute of Intelligent Information Processing, the deputy director of the Beijing Key Laboratory of Intelligent Information Technology, and the deputy director of the first Special Committee of Intelligent Service of the Chinese AI Society. He has presided over more than 30 projects such as National Natural Science Foundation, national Key Research and development Program, aerospace science and technology, military/civilian 863, and school-enterprise cooperation projects, and has made contributions to solving industrial and national defense problems. At present, he is in charge of one national key research and development project and one sub-project, two related aerospace pre-research projects, and one key research and development sub-project of SASAC. He has published nearly 200 academic papers including top journals at home and abroad, published 6 books, and granted a number of patents.
Every year, he teaches object-oriented technology and methods (bilingual) for undergraduate courses, image and video processing for graduate courses, and has taught the principles of computer composition, software engineering practice, medical image processing, etc.

Research Direction
Machine Vision, Machine Learning and Artificial Intelligence, Agent Systems

Personal Information
Zhao Qingjie, Ph.D., Professor, doctoral supervisor. In January 2003, he graduated from the State Key Laboratory of "Intelligent Technology and System" of the Computer Department of Tsinghua University with a doctorate degree in computer application technology, and his doctoral thesis was awarded the university-level excellent. In the same year, he engaged in teaching and scientific research at the School of Computer Science, Beijing Institute of Technology, during which he spent one year in the Department of Computer Science, University of Essex, UK, and one year in the Department of Information Science, University of Hamburg, Germany, from 2008 to 2009 and 2017-2018 respectively. At present, he is a third-level professor/doctoral supervisor at the School of Computer Science, Beijing Institute of Technology. He used to be the deputy director of the Institute of Intelligent Information Processing, the deputy director of the Beijing Key Laboratory of Intelligent Information Technology, and the deputy director of the first Special Committee of Intelligent Service of the Chinese AI Society. He has presided over more than 30 projects such as National Natural Science Foundation, national Key Research and development Program, aerospace science and technology, military/civilian 863, and school-enterprise cooperation projects, and has made contributions to solving industrial and national defense problems. At present, he is in charge of one national key research and development project and one sub-project, two related aerospace pre-research projects, and one key research and development sub-project of SASAC. He has published nearly 200 academic papers including top journals at home and abroad, published 6 books, and granted a number of patents.
Every year, he teaches object-oriented technology and methods (bilingual) for undergraduate courses, image and video processing for graduate courses, and has taught the principles of computer composition, software engineering practice, medical image processing, etc.

Personal Information
Zhao Qingjie, Ph.D., Professor, doctoral supervisor. In January 2003, he graduated from the State Key Laboratory of "Intelligent Technology and System" of the Computer Department of Tsinghua University with a doctorate degree in computer application technology, and his doctoral thesis was awarded the university-level excellent. In the same year, he engaged in teaching and scientific research at the School of Computer Science, Beijing Institute of Technology, during which he spent one year in the Department of Computer Science, University of Essex, UK, and one year in the Department of Information Science, University of Hamburg, Germany, from 2008 to 2009 and 2017-2018 respectively. At present, he is a third-level professor/doctoral supervisor at the School of Computer Science, Beijing Institute of Technology. He used to be the deputy director of the Institute of Intelligent Information Processing, the deputy director of the Beijing Key Laboratory of Intelligent Information Technology, and the deputy director of the first Special Committee of Intelligent Service of the Chinese AI Society. He has presided over more than 30 projects such as National Natural Science Foundation, national Key Research and development Program, aerospace science and technology, military/civilian 863, and school-enterprise cooperation projects, and has made contributions to solving industrial and national defense problems. At present, he is in charge of one national key research and development project and one sub-project, two related aerospace pre-research projects, and one key research and development sub-project of SASAC. He has published nearly 200 academic papers including top journals at home and abroad, published 6 books, and granted a number of patents.
Every year, he teaches object-oriented technology and methods (bilingual) for undergraduate courses, image and video processing for graduate courses, and has taught the principles of computer composition, software engineering practice, medical image processing, etc.

代表性学术成果
代表性论文：
1. Qingjie Zhao, Xin Wang, Binglu Wang, Lei Wang, Wangwang Liu, Shanshan Li, Dual-Attention Deep Discriminative Domain Generalization Framework for Hyperspectral Image Classification, Remote Sensing. 2023, 15(23), 5492; https://doi.org/10.3390/rs15235492 (SCI JCR-I, TOP)
2. Adnan Ashraf, Qingjie Zhao, Waqas Haider Bangyal and Muddesar Iqbal, Analysis of Brain Imaging Data for the Detection of Early Age Autism Spectrum Disorder using Transfer Learning Approaches for Internet of Things, IEEE Transactions on Consumer Electronics, 2023, https://doi.org/10.1109/TCE.2023.3328479 (SCI JCR-II)
3. Xin Wang, Qingjie Zhao, Changchun Zhang, Binglu Wang, IEEE Member, AAAI Memberc, Lei Wang, Wangwang Liu, Enhanced Dynamic Feature Representation Learning Framework by Fourier Transform for Domain Generalization, Information Sciences, 649 (2023) 119624, https://doi.org/10.1016/j.ins.2023.119624. (SCI JCR-I, TOP)
4. Shanshan Li, Qingjie Zhao, Changchun Zhang, Yuanbing Zou, Deep discriminative causal domain generalization, Information Sciences, 645, (2023) 119335, https://doi.org/10.1016/j.ins.2023.119335 (SCI JCR-I, TOP)
5. Minghao Geng and Qingjie Zhao, Improve Image Captioning by Modeling Dynamic Scene Graph Extension, regular paper, ICMR2022, https://doi.org/10.1145/3512527.3531401 (CCF-B)
6. Changchun Zhang, Qingjie Zhao, Attention Guided for Partial Domain Adaptation, Information Sciences, 2021, 547: 860-869. https://doi.org/10.1016/j.ins.2020.08.103 (SCI JCR-I, TOP)
7. Changchun Zhang, Qingjie Zhao, Yu Wang; Transferable Attention Networks for Adversarial Domain Adaptation, Information Sciences, 2020, 539: 422-433. https://doi.org/10.1016/j.ins.2020.06.016 (SCI JCR-I, TOP)
8. Changchun Zhang, Qingjie Zhao, Yu Wang; Hybrid adversarial network for unsupervised domain adaptation, Information Sciences, 2020, 514: 44-55. https://doi.org/10.1016/j.ins.2019.12.005 (SCI JCR-I, TOP)
9. Feng Guo, Qingjie Zhao, Xuan Li, Xiaohui Kuang, Jianwei Zhang, Yahong Han, Yu-an Tan; Detecting adversarial examples via prediction difference for deep neural networks, Information Sciences, 2019, 501: 182-192. https://doi.org/10.1016/j.ins.2019.05.084 (SCI JCR-I, TOP)
10. Changchun Zhang, Qingjie Zhao, Heng Wu. Deep Domain Adaptation via Joint Transfer Networks, Neurocomputing, 2022, 489: 441-448. https://doi.org/10.1016/j.neucom.2022.03.028 (SCI JCR-II, TOP)
11. Changchun Zhang, Qingjie Zhao, Deep Discriminative Domain Adaptation, Information Sciences, 2021, 575: 599-610. https://doi.org/10.1016/j.ins.2021.07.073 (SCI JCR-I, TOP)
12. Lixiong Liu, Yi Hua, Qingjie Zhao, Hua Huang, and Alan Conrad Bovik, Blind image quality assessment by relative gradient statistics and adaBoosting neural network, Signal Processing: Image Communication, 2016, 40:1-15. https://doi.org/10.1016/j.image.2015.10.005 (ESI高被引, 获欧洲信号处理协会2020年最佳论文奖)
出版图书
1. 赵清杰主编，面向对象编程技术与方法(C++), 北京: 电子工业出版社, 2021.12, ISBN: 9787121423772
2. 赵清杰主编，《C++程序设计》，清华大学出版社，2008，ISBN: 9787302182979
3. 胡斯康，赵清杰. 《C++程序设计实验指导与题解》，清华大学出版社，2008, ISBN 9787302186465
4. 高春晓，赵清杰，张文耀 译，《计算机图形学》，人民邮电出版社，2007.06, ISBN: 9787115158673
5. 赵清杰，钱芳，蔡利栋 译，《计算机视觉》, 机械工业出版社，2005.03，ISBN: 9787111159728
6. 林学訚，崔锦实，赵清杰 译，《机器视觉教程》, 机械工业出版社，2005.09 ISBN: 9787111167907
所获奖励
1. 北京理工大学优秀科技奖、国防科技奖、军队科技奖各1项
2. 北京理工大学优秀教育教学成果一等奖(排第一)、二等奖(排第一) 各1项
3. 2019、2020连续两年获中国自动化学会颁发的中国机器人大赛优秀指导教师一等奖
4. 荣获工信部人才交流中心颁发的2022 RoboCom机器人开发者大赛CAIR工程竞技赛优秀指导老师称号、以及2023睿抗机器人开发者大赛(RAICOM)北京赛区优秀指导老师称号。
5. 中国人工智能学会认知系统与信息处理专委会2020年度杰出会员
6. 北京理工大学“十一五”优秀创新团队主要成员
7. 2022年度电子工业出版社优秀作译者奖，排名唯一。
8. 欧洲信号处理协会2020年最佳论文奖1项（排第三）