Lei Qi (祁 磊)
Ph.D., Assistant 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[AT]seu.edu.cn

News | About Me | Research Interests | Publications | Awards | Google Scholar | 中文

News

Aout Me

 I am an assistant researcher (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 Computer Vision (CV) and Machine Learning (ML).
Currently, I mainly focus on the CV topics including person re-identification and semantic segmentation, etc.
For ML, I am interested in domain generalization (DG), domain adaptation, unsupervised learning and semi-supervised learning.

Selected Publications ( a full list of publications )

*: Equal Contribution; #: Corresponding Author.

Journal:

  • Lei Qi, Hongpeng Yang, Yinghuan Shi, Xin Geng. “MultiMatch: Multi-task Learning for Semi-supervised Domain Generalization”. ACM Transactions on Multimedia Computing Communications and Application (ACM TOMM), 2024.

  • Lei Qi, Hongpeng Yang, Yinghuan Shi, Xin Geng. “NormAUG: Normalization-guided Augmentation for Domain Generalization”. IEEE Transactions on Image Processing (IEEE TIP), 2024.

  • Na Wang*, Lei Qi*, Jintao Guo, Yinghuan Shi, Yang Gao. “Learning Generalizable Models via Disentangling Spurious and Enhancing Potential Correlations”. IEEE Transactions on Image Processing (IEEE TIP), 2023.

  • Lei Qi, Peng Dong, Tan Xiong, Hui Xue, Xin Geng. “DoubleAUG: Single-domain Generalized Object Detector in Urban via Color Perturbation and Dual-style Memory”. ACM Transactions on Multimedia Computing Communications and Application (ACM TOMM), 2023.

  • Jiajun Hu*, Lei Qi*, Jian Zhang, Yinghuan Shi. “Domain generalization via Inter-domain Alignment and Intra-domainExpansion”. Pattern Recognition (PR), 2023.

  • Jintao Guo, Lei Qi#, Yinghuan Shi#, Yang Gao. “PLACE dropout: A Progressive Layer-wise and Channel-wise Dropout for Domain Generalization”. ACM Transactions on Multimedia Computing Communications and Application (ACM TOMM), 2023.

  • Lei Qi, Jiaqi Liu, Lei Wang, Yinghuan Shi, Xin Geng. “Unsupervised Generalizable Multi-source Person Re-identification: A Domain-specific Adaptive Framework”. Pattern Recognition (PR), 2023.

  • Lei Qi, Jiaying Shen, Jiaqi Liu, Yinghuan Shi, Xin Geng. “Label Distribution Learning for Generalizable Multi-source Person Re-identification”. IEEE Transactions on Information Forensics and Security (IEEE TIFS), 2022.

  • Qian Yu, Lei Qi, Yang Gao, Wuzhang Wang, Yinghuan Shi. “Crosslink-Net: Double-branch Encoder Network via Fusing Vertical and Horizontal Convolutions for Medical Image Segmentation”. IEEE Transactions on Image Processing (IEEE TIP), 2022.

  • Ruiqi Wang*, Lei Qi*, Yinghuan Shi, Yang Gao. “Better Pseudo-label: Joint Domain-aware Label and Dual-classifier for Semi-supervised Domain Generalization”. Pattern Recognition (PR), 2022.

  • Lei Qi, Lei Wang, Yinghuan Shi, Xin Geng. “A Novel Mix-normalization Method for Generalizable Multi-source Person Re-identification”. IEEE Transactions on Multimedia (IEEE TMM), 2022.

  • Yue Wang*, Lei Qi*, Yinghuan Shi, Yang Gao. “Feature-based Style Randomization for Domain Generalization”. IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT), 2022.

  • Jian Zhang, Lei Qi#, Yinghuan Shi#, Yang Gao. “Generalizable Model-agnostic Semantic Segmentation via Target-specific Normalization”. Pattern Recognition (PR), 2021.

  • Xiaoting Han*, Lei Qi*, Qian Yu, Ziqi Zhou, Yefeng Zheng, Yinghuan Shi, Yang Gao. “Deep Symmetric Adaptation Network for Cross-modality Medical Image Segmentation”. IEEE Transactions on Medical Imaging (IEEE TMI), 2021.

  • Lei Qi, Lei Wang, Jing Huo, Yinghuan Shi, Xin Geng, Yang Gao. “Adversarial Camera Alignment Network for Unsupervised Cross-camera Person Re-identification”. IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT), 2021.

  • 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 (ACM TOMM), 2020.

  • 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 (IEEE TCSVT), 2020.




Conference:

  • Xingyu Zhao, Lei Qi#, Yuexuan An, Xin Geng#. “Generalizable Label Distribution Learning”. ACM International Conference on Multimedia (MM), 2023.

  • Jian Zhang, Lei Qi#, Yinghuan Shi#, Yang Gao. “DomainAdaptor: A Novel Approach to Test-time Adaptation”. IEEE International Conference on Computer Vision (ICCV), 2023.

  • Jintao Guo, Lei Qi#, Yinghuan Shi#. “DomainDrop: Suppressing Domain-Sensitive Channels for Domain Generalization”. IEEE International Conference on Computer Vision (ICCV), 2023.

  • Zekun Li, Lei Qi, Yinghuan Shi, Yang Gao. “IOMatch: Simplifying Open-Set Semi-Supervised Learning with Joint Inliers and Outliers Utilization”. IEEE International Conference on Computer Vision (ICCV), 2023.

  • Jintao Guo, Na Wang, Lei Qi#, Yinghuan Shi#. “ALOFT: A Lightweight MLP-like Architecture with Dynamic Low-Frequency Transform for Domain Generalization”. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023.

  • Lihe Yang, Lei Qi, Litong Feng, Wayne Zhang, Yinghuan Shi. “Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation”. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023.

  • Jian Zhang, Lei Qi#, Yinghuan Shi#, Yang Gao. “MVDG: A Unified Multi-view Framework for Domain Generalization”. European Conference on Computer Vision (ECCV), 2022.

  • Ziqi Zhou, Lei Qi#, Yinghuan Shi#. “Generalizable Medical Image Segmentation via Random Amplitude Mixup and Domain-Specific Image Restoration”. European Conference on Computer Vision (ECCV), 2022.

  • Yue Duan, Lei Qi, Luping Zhou, Lei Wang, Yinghuan Shi. “RDA: Reciprocal Distribution Alignment for Robust Semi-supervised Learning”. European Conference on Computer Vision (ECCV), 2022.

  • Ziqi Zhou, Lei Qi, Xin Yang, Dong Ni, Yinghuan Shi. “Generalizable Cross-modality Medical Image Segmentation via Style Augmentation and Dual Normalization”. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022.

  • 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.


Awards
  • 2020, Outstanding Doctoral Thesis Award from JSAI | 江苏省人工智能学会优秀博士论文奖
  • 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