Chongqing Institute of Green and Intelligent Technology , Chinese Academy of Sciences
Faculty
Xiangdong Zhou
  • Professor
  • Doctor
  • xiangdongzhou@cigit.ac.cn
  • 18323162959
Resume

Xiang-Dong Zhou is a professor at the Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences. He received the B.S. degree in Applied Mathematics, the M.S. degree in Management Science and Engineering from National University of Defense Technology, Changsha, China, the Ph.D. degree in pattern recognition and artificial intelligence from the Institute of Automation, Chinese Academy of Sciences, Beijing, China, in 1998, 2003 and 2009, respectively. He was a postdoctoral fellow at Tokyo University of Agriculture and Technology from March 2009 to March 2011. From May 2011 to October 2013, he was a research assistant and later an associate professor at the Institute of Software, Chinese Academy of Sciences.

Research Fields

Pattern recognition

Social Employment
 
Awards and Honors

[1] CAS Science and Technology Promotion and Development Prize in 2018.

Representative Papers

[1] X.D. Zhou, D.H. Wang, C.L. Liu, A robust approach to text line grouping in online handwritten Japanese documents, Pattern Recognition 42 (9) (2009), 2077-2088.

[2] X.D. Zhou, D.H. Wang, F. Tian, C.L. Liu, M. Nakagawa, Handwritten Chinese/Japanese text recognition using semi-Markov conditional random fields, IEEE Transactions on Pattern Analysis and Machine Intelligence 35 (10) (2013), 2413-2426.

[3] X.D. Zhou, Y.M. Zhang, F. Tian, H.A. Wang, C.L. Liu, Minimum-risk training for semi-Markov conditional random fields with application to handwritten Chinese/Japanese text recognition, Pattern Recognition 47 (5) (2014), 1904-1916.

[4] H. Zhang, X.D. Zhou, C.L. Liu. Keyword spotting in handwritten Chinese documents using semi-markov conditional random fields. Engineering Applications of Artificial Intelligence, 58(2) (2017), 49-61.

[5] F. Lu, B.F. Chen, Z.H. Guo, X.D. Zhou, Robust Visual Place Recognition in Changing Environments using improved DTW, International Journal on Artificial Intelligence Tools, 30(2)(2021).

[6] X.H. Shao, J.L. Xing, J.J. Lyu, X.D. Zhou, Y. Shi, S. Maybank. Robust Face Alignment via Deep Progressive Reinitialization and Adaptive Error-driven Learning, IEEE Transactions on Pattern Analysis and Machine Intelligence , 2021.

[7] H. Xu, X.D. Zhou, Z.h. Li, L.C. Liu, C.J. Li, Y. Shi. EILPR: Towards End-to-end Irregular License Plate Recognition based on Automatic Perspective Alignment, IEEE Transactions on Intelligent Transportation Systems, 23(3)(2022), 2586 - 2595.

[8] Fangling Jiang, Qi Li, Pengcheng Liu, Xiang-Dong Zhou, Zhenan Sun. Adversarial Learning Domain-Invariant Conditional Features for Robust Face Anti-spoofing. International Journal of Computer Vision, 131(7)(2023), 1680-1703.

[9] M. Peng, C.Y. Wang, Y. Gao, Y. Shi, X.D. Zhou. Multi-Level Hierarchical Network with Multi-Scale Sampling for Video Question Answering, International Joint Conference on Artificial Intelligence, 2022, pp. 1276-1282.

[10] M. Peng, C.Y. Wang, Y. Shi, X.D. Zhou. Efficient End-to-End Video Question Answering with Pyramidal Multimodal Transformer, Association for the Advancement of Artificial Intelligence, 2023, pp. 2038-2046

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