About me
Wanglong Lu currently serves as a Senior Data Scientist in AI/Analytics at Nasdaq, Canada.
Research Interest: Computer Vision, Pattern Recognition, Generative Models, Image Editing.
Other Links: [Publications] [CV] [Blog] [Google scholar] [中文简历], [UCML]
Contact: lwlxhl@gmail.com, lwlxhl@163.com, wanglong.lu@nasdaq.com, wanglongl@mun.ca
Invited Reviewer at (2025): [Pattern Recognition], [TMM], [Advances in Manufacturing], [Signal, Image and Video Processing], [IEEE Signal Processing Letters], [Multimedia Systems], [Journal of Machine Learning and Cybernetics]
Invited Reviewer
Current News
- I am currently working at Nasdaq as an Senior Data Scientist.
- On Feb. 15, 2025, our paper “Real-time dual-eye collaborative eyeblink detection with contrastive learning [page]” has been successfully published in Pattern Recognition journal! Congratulations to Yu Wang.
- On Feb. 05, 2025, I served as a guest lecturer for Bio-Inspired Robotics (ENGI 9986), delivering a 150-minute course on “Deep Generative Models and Applications” to 10 graduate students. I am grateful to Dr. Ting Zou for the invitation.
- On Jan. 31, 2025, I completed my internship at Nasdaq Verafin and delivered a presentation on our recent progress in image verification to an audience of 39 attendees.
More News (2024)
- On Dec. 29, 2024, our paper Visual Style Prompt Learning Using Diffusion Models for Blind Face Restoration was published at Pattern Recognition [[page]](https://github.com/LonglongaaaGo/VSPBFR).
- On November 28, 2024, our paper has been published in a Neurocomputing Journal! This paper has been going through a three-year review process! It was the starting point of my research and was finally accepted on the very morning of my thesis defense. A perfect full-circle moment!
- On November 21, 2024, I successfully defended my Ph.D. thesis! I am deeply grateful to my supervisors, Dr. Xianta Jiang, Dr. Hanli Zhao, and Dr. Yuanzhu Chen, for their invaluable guidance and support throughout this journey. I also sincerely thank my committee members, Dr. Minglun Gong, Dr. Xiaogang Jin, Dr. Yongliang Yang, Dr. Karteek Popuri, Dr. Matthew Hamilton, Dr. Vinicius Prado Da Fonseca, Dr. Qiang Ye, for their insightful feedback and encouragement. A special thank you to my senior colleagues Tao Wang, Dr. Zili Yi, Dr. Kang Qiao, Dr. Jingjing Zheng, Dr. Yajun Yu, and all my wonderful peers (Ziying Lyu, Kaijie Shi, Jikai Wang, Lingming Su, Meng Wang, Vitaliy Zhao, Shuaishuai Li, Tao Liu, Rui Zhang, etc.) at Memorial University of Newfoundland, Wenzhou University, and Nasdaq, for their unwavering support and collaboration!
- On Nov. 14, 2024, I gave an oral presentation at the 33rd [NECEC](https://necec.ieeenl.ca/) conference for our recent document image restoration algorithm, with an audience of 30 attendees.
- On Sep. 23, 2024, I gave a talk to share my experience in university and postgraduate study life at Digital Media Technology, Communication University of Zhejiang, with an audience of 120 attendees.
- On August 30, 2024, I gave a talk on our recent work in text document restoration at Nasdaq Verafin, with an audience of 45 attendees.
- On July 11, 2024, our paper titled ''Handling The Non-Smooth Challenge in Tensor SVD: A Multi-Objective Tensor Recovery Framework'' was accepted at ECCV.
