Lei Qi (祁 磊)
Ph.D., Postdoctoral Researcher

Pattern Learning and Mining (PALM) Lab
School of Computer Science and Engineering
Southeast University, Nanjing, China

Location: 506, Computer Science Building, Jiulonghu Campus, Southeast University

Email: qilei@seu.edu.cn

News | Aout Me | Research Interests | Publications | Awards

News


Aout Me

I am a Zhishan (至善) postdoctoral researcher from School of Computer Science and Engineering at Southeast University. Also, I am a member of Pattern Learning and Mining (PALM) Lab, led by Prof. Xin Geng. I got my Ph. D. degree from Nanjing University in 2020, supervised by Prof. Yang Gao. In 2011 and 2015, I obtained my bachelor degree and master degree in computer science from Nanjing Normal University and Nanjing University of Science and Technology, respectively. From August 2018 to August 2019, I was a visiting student at University of Wollongong, supervised by Prof. Lei Wang.

Research Interests

My research interests include machine learning (ML) and computer vision (CV).
Currently, I mainly focus on ML topics including domain generalization, domain adaptation and unsupervised learning.
For CV applications, I am interested in person re-identification and image segmentation, etc.

Publications

Journals:

    [6] Lei Qi, Lei Wang, Jing Huo, Yinghuan Shi, Yang Gao, “GreyReID: A Two-stream Deep Framework with RGB-grey Information for Person Re-identification” , ACM Transactions on Multimedia Computing Communications and Application (TOMM), 2020.

    [5] Lei Qi, Peize Yu, Yang Gao, “Research on Weak-Supervised Person Re-Identification”, Journal Of Software (软件学报), 2020.

    [4] Xinqiang Chen, Zhibin Li, Yongsheng Yang, Lei Qi, Ruimin Ke, “High-Resolution Vehicle Trajectory Extraction and Denoising from Aerial Videos”, IEEE Transactions on Intelligent Transportation Systems (TITS), 2020.

    [3] Yang Li, Lei Wang, Wenming Zheng, Yuan Zong, Lei Qi, Zhen Cui, Tong Zhang, Tengfei Song, “A Novel Bi-hemispheric Discrepancy Model for EEG Emotion Recognition”, IEEE Transactions on Cognitive and Developmental Systems (TCDS), 2020.

    [2] Lei Qi, Lei Wang, Jing Huo, Yinghuan Shi, Yang Gao, “Progressive Cross-camera Soft-label Learning for Semi-supervised Person Re-identification”, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2020.

    [1] Lei Qi, Jing Huo, Xiaocong Fan, Yinghuan Shi, Yang Gao, “Unsupervised Joint Subspace and Dictionary Learning for Enhanced Cross-Domain Person Re-Identification”, IEEE Journal of Selected Topics in Signal Processing (JSTSP), 2018.




Conferences:

    [8] Pinzhuo Tian, Lei Qi, Shaokang Dong, Yinghuan Shi, Yang Gao, “Consistent MetaReg: Alleviating Intra-task Discrepancy for Better Meta-knowledge”, International Joint Conference on Artificial Intelligence (IJCAI), 2020.

    [7] Changbin Shao, Jing Huo, Lei Qi, Zhenghua Feng, Wenbin Li, Yang Gao, “Biased Feature Learning for Occlusion Invariant Face Recognition”, International Joint Conference on Artificial Intelligence (IJCAI), 2020.

    [6] Pinzhuo Tian, Zhangkai Wu, Lei Qi, Lei Wang, Yinghuan Shi, Yang Gao, “Differentiable Meta-learning Model for Few-shot Semantic Segmentation”, AAAI Conference on Artificial Intelligence (AAAI), 2020.

    [5] Lei Qi, Lei Wang, Jing Huo, Luping Zhou, Yinghuan Shi, Yang Gao, “A Novel Unsupervised Camera-aware Domain Adaptation Framework for Person Re-identification”, IEEE International Conference on Computer Vision (ICCV), 2019.

    [4] Lei Qi, Jing Huo, Lei Wang, Yinghuan Shi, Yang Gao, “MaskReID: A Mask Based Deep Ranking Neural Network for Person Retrieval”, IEEE International Conference on Multimedia and Expo (ICME), 2019.

    [3] Pinzhuo Tian, Lei Qi, Yinghuan Shi, Luping Zhou, Yang Gao, Dinggang Shen, “A Novel Image-Specific Transfer Approach for Prostate Segmentation in MR Images”, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018.

    [2] Yang Lv, Lei Qi, Jing Huo, Hao Wang, Yang Gao, “Joint Multi-field Siamese Recurrent Neural Network for Entity Resolution”, Pacific Rim International Conference on Artificial Intelligence (PRICAI), 2018.

    [1] Lei Qi, Yinghuan Shi, Huihui Wang, Wanqi Yang, Yang Gao, “Multi-View Subspace Clustering via a Global Low-Rank Affinity Matrix”, International Conference on Intelligent Data Engineering and Automated Learning (IDEAL), 2016.


Awards

  • 2020, Outstanding Graduates, Nanjing University | 南京大学优秀毕业生
  • 2019, Meritocracy Scholarship, Nanjing University | 南京大学英才奖学金