Yueqi Duan Ph.D. Candidate at Tsinghua University Office: Room 624, Main Building Email: duanyq14 at mails.tsinghua.edu.cn CV • Google Scholar • GitHub

About Me

• I am a fifth year Ph.D. candidate in the Department of Automation at Tsinghua University, advised by Prof. Jie Zhou and Prof. Jiwen Lu.
• My research is on computer vision and machine learning, particularly unsupervised learning, binary representation learning, metric learning and 3D vision.
• I am looking for a postdoctoral position in computer vision and machine learning.

Updates

• [2019/02/25] 3 papers are accepted by CVPR'19!
• [2018/10/09] I am honored with the National Scholarship of Tsinghua University.
• [2018/08/20] I give a talk on Deep Metric Learning for Pattern Recognition at the Tutorial of ICPR'18.
• [2018/07/26] I am honored with the Outstanding Reviewer Award of ICME'18.
• [2018/07/17] 1 paper is accepted by TPAMI!
• [2018/07/03] 1 paper is accepted by ECCV'18!
• [2018/05/15] I give a talk on Representation Learning for Face Alignment and Recognition at the Tutorial of FG'18.
• [2018/02/28] 2 papers are accepted by CVPR'18!
• [2017/10/10] I am honored with the National Scholarship of Tsinghua University.
• [2017/05/25] 1 paper is accepted by TPAMI!
• [2017/03/03] 1 paper is accepted by CVPR'17!
• [2017/02/27] 1 paper is accepted by ICME'17!

Selected Publications

	Yueqi Duan, Jiwen Lu, Ziwei Wang, Jianjiang Feng, and Jie Zhou Learning Deep Binary Descriptor with Multi-Quantization. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019, accepted. [PDF]
	Yueqi Duan, Yu Zheng, Jiwen Lu, Jie Zhou, and Qi Tian Structural Relational Reasoning of Point Clouds. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019, accepted. [PDF]
	Yueqi Duan, Jiwen Lu, and Jie Zhou UniformFace: Learning Deep Equidistributed Representation for Face Recognition. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019, accepted. [PDF]
	Yueqi Duan, Lei Chen, Jiwen Lu, and Jie Zhou Deep Embedding Learning with Discriminative Sampling Policy. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019, accepted. [PDF]
	Yueqi Duan, Jiwen Lu, Jianjiang Feng, and Jie Zhou Context-Aware Local Binary Feature Learning for Face Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 40, no. 5, pp. 1139-1153, 2018. [PDF][Code]
	Yueqi Duan, Jiwen Lu, Jianjiang Feng, and Jie Zhou Deep Localized Metric Learning. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 28, no. 10, pp. 2644-2656, 2018. [PDF]
	Yueqi Duan, Jiwen Lu, Jianjiang Feng, and Jie Zhou Topology-Preserving Structural Matching for Automatic Partial Face Recognition. IEEE Transactions on Information Forensics and Security (TIFS), vol. 13, no. 7, pp. 1823-1837, 2018. [PDF]
	Yueqi Duan, Wenzhao Zheng, Xudong Lin, Jiwen Lu, and Jie Zhou Deep Adversarial Metric Learning. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 2780-2789, 2018, as spotlight. [PDF][Slides][Poster][Code]
	Yueqi Duan, Ziwei Wang, Jiwen Lu, Xudong Lin, and Jie Zhou GraphBit: Bitwise Interaction Mining via Deep Reinforcement Learning. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 8270-8279, 2018. [PDF][Poster][Code]
	Xudong Lin, Yueqi Duan, Qiyuan Dong, Jiwen Lu, and Jie Zhou Deep Variational Metric Learning. European Conference on Computer Vision (ECCV), pp. 689-704, 2018. [PDF]
	Yueqi Duan, Jiwen Lu, Jianjiang Feng, and Jie Zhou Learning Rotation-Invariant Local Binary Descriptor. IEEE Transactions on Image Processing (TIP), vol. 26, no. 8, pp. 3636-3651, 2017. [PDF]
	Yueqi Duan, Jiwen Lu, Ziwei Wang, Jianjiang Feng, and Jie Zhou Learning Deep Binary Descriptor with Multi-Quantization. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 4857-4866, 2017. [PDF][Poster]
	Yueqi Duan, Jiwen Lu, Jianjiang Feng, and Jie Zhou Topology Preserving Graph Matching for Partial Face Recognition. IEEE International Conference on Multimedia and Expo (ICME), pp. 1494-1499, 2017, as oral. [PDF][Slides]

Honors

• Outstanding Reviewer Award of ICME, 2018.
• National Scholarship, Tsinghua University, 2017-2018.
• Outstanding Scholar, Department of Automation, Tsinghua University, 2017.
• Deng Feng Academic Scholarship, Tsinghua University, 2017-2018.
• Scholarship of Social Practice, Tsinghua University, 2016.
• Champion of Volleyball in John Ma Competition, Tsinghua University, 2016.
• Champions of Chess in John Ma Competition, Tsinghua University, 2010-2013.
• Champion of ABAC Chess Competition in Mallorca, Spain, 2011.

Professional Activities

• Reviewer, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2018-.
• Reviewer, International Journal of Computer Vision, 2019-.
• Reviewer, IEEE Transactions on Image Processing, 2017-.
• Reviewer, IEEE Transactions on Circuits and Systems for Video Technology, 2017-.
• Reviewer, IEEE Transactions on Information Forensics and Security, 2018-.
• Reviewer, IEEE Transactions on Biometrics, Behavior, and Identity Science, 2018-.
• Reviewer, IEEE Access, 2018-.
• Reviewer, Pattern Recognition, 2016-.
• Reviewer, Journal of Visual Communication and Image Representation, 2017-.
• Reviewer, International Journal of Machine Learning and Cybernetics, 2018-.
• Reviewer, Multimedia Systems, 2018-.
• Reviewer, IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2019.
• Reviewer, IEEE International Conference on Computer Vision, 2019.
• Reviewer, IEEE International Conference on Multimedia and Expo, 2018.
• Reviewer, IEEE International Conference on Image Processing, 2017-2018.