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Yan Huang

             E-mail: yhuang at nlpr.ia.ac.cn
             Tel：+86-10-82544611
             Address：Room 1501, Intelligent Building, 95 Zhongguancun East Road, Haidian District, BEIJING, CHINA
             Postcode: 100190
             Homepage: http://cripac.ia.ac.cn/en/CN/column/item130.shtml

Overview

Yan Huang received the BSc degree from University of Electronic Science and Technology of China (UESTC) in 2012, and the PhD degree from University of Chinese Academy of Sciences (UCAS) in 2017. He is now an associate professor at the National Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences (CASIA). His research interests include vision-language understanding and video analysis. He has published 70+ papers in the leading international journals and conferences such as TPAMI, TIP, NeurIPS, AAAI, ICCV and CVPR.

Research Area

Deep learning, computer vision

Awards

2021 Youth Innovation Promotion Association of Chinese Academy of Sciences, 2021
Youth Talent Promotion Project of China Association for Science and Technology, 2021
Beijing Nova Program, 2020
Microsoft StarTrack Program, 2019
Wider Face and Person Challenge 2019, 1st of Person Search by Language: Kai Niu, Yan Huang, Da Li, Liang Wang
The “winning tracker” award at the Visual Object Tracking RGBD challenge (VOT2019- RGBD): H. Yu, H. Peng, Z. Wu, Y. Huang, J. Fu, L. Wang
Excellent Doctoral Thesis of Chinese Academy of Sciences, 2018
Excellent Doctoral Thesis of Chinese Association for Artificial Intelligence, 2018
CAS President Scholarship Excellence Award, 2017
Baidu Scholarship, 2016
Doctoral National Scholarship, 2016
Best Poster Award, RACV, 2016
Best Student Paper Award, ICPR, 2014
Best Paper Award, CVPR-Deep Vision Workshop, 2014

Selected Publications

1.Yan Huang, Jingdong Wang, and Liang Wang, Few-Shot Image and Sentence Matching via Aligned Cross-Modal Memory, IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), accepted, 2021.
2.Yan Huang, Qi Wu, Wei Wang, and Liang Wang, Image and Sentence Matching via Semantic Concepts and Order Learning, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 42(3): 636-650, 2020.
3.Yan Huang, Wei Wang, and Liang Wang, Video Super-resolution via Bidirectional Recurrent Convolutional Networks, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 40(4), 1015-1028, 2018.
4.Yan Huang and Liang Wang, ACMM: Aligned Cross-Modal Memory for Few-Shot Image and Sentence Matching, ICCV, 2019.
5.Yan Huang, Qi Wu, and Liang Wang, Learning Semantic Concepts and Order for Image and Sentence Matching, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018.
 
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