// curriculum vitae
Wanglong Lu
Senior Data Scientist in AI/Analytics at Nasdaq, Canada, with research experience in generative vision, image restoration, image editing, pattern recognition, and parameter-efficient adaptation.
Wanglong Lu currently serves as a Senior Data Scientist in AI/Analytics at Nasdaq, Canada.
Education
- 2021-2025 Ph.D. Computer Science, Memorial University of Newfoundland.
- 2018-2021 M.Sc. Computer Software and Theory, Wenzhou University.
- 2014-2018 B.Sc. Digital Media Technology, Communication University of Zhejiang.
Interests
- Computer Vision, Pattern Recognition, Generative Models, Parameter-Efficient Fine-Tuning, Multimodal AI Systems, and Financial AI.
Publications
- Tuning-Free Latent Diffusion Models for Ultrahigh-Resolution Image Editing
Wanglong Lu, Lingming Su, Kaijie Shi, Minglun Gong, Xiaogang Jin, Hanli Zhao, Xianta Jiang
IEEE Transactions on Neural Networks and Learning Systems, 1-15, 2026
[paper] [pdf] [html] [code] - UHDRes: Ultra-High-Definition Image Restoration via Dual-Domain Decoupled Spectral Modulation
Shihao Zhao, Wanglong Lu, Binhao Wang, Tao Wang, Kaihao Zhang, Hanli Zhao
IEEE Transactions on Circuits and Systems for Video Technology, 2026
[paper] [pdf] [html] [code] - Simulation-Driven Imitation Learning for Biosignals-Free Shared-Autonomy Prosthetic Grasping
Kaijie Shi, Wanglong Lu, Han Chen, Vinicius Prado da Fonseca, Ting Zou, Hanli Zhao, Xianta Jiang
arXiv preprint arXiv:2606.07389, 2026
[paper] - EchoSR: Efficient Context Harnessing for Lightweight Image Super-Resolution
Hanli Zhao, Binhao Wang, Shihao Zhao, Tao Wang, Kaihao Zhang, Wanglong Lu
Information Fusion, 104471, 2026
[paper] [pdf] [arXiv] [html] [doi] [code] - AdaMSS: Adaptive Multi-Subspace Approach for Parameter-Efficient Fine-Tuning
Jingjing Zheng, Wanglong Lu, Yiming Dong, Chaojie Ji, Yankai Cao, Zhouchen Lin
NeurIPS 2025, 2025
[paper] [code] [project] - GRIG: Data-Efficient Generative Residual Image Inpainting
Wanglong Lu, Xianta Jiang, Xiaogang Jin, Yong-Liang Yang, Minglun Gong, Kaijie Shi, Tao Wang, Hanli Zhao
Computational Visual Media 11(6), 1329-1361, 2025
[paper] [pdf] [arXiv] [doi] [project] - StDDPM: Sequential Financial Synthetic Data Generation using T-distribution based Diffusion Model
Omid Tarkhaneh, Hamideh Mehri, Wanglong Lu, Farzaneh Shoeleh, Vinicius Veloso de Melo
Research Square preprint, 2025
[paper] [pdf] - Toward Biosignals-Free Autonomous Prosthetic Hand Control via Imitation Learning
Kaijie Shi, Wanglong Lu, Hanli Zhao, Vinicius Prado da Fonseca, Ting Zou, Xianta Jiang
IEEE Transactions on Neural Systems and Rehabilitation Engineering 33, 3544-3554, 2025
[paper] [pdf] [arXiv] [doi] [project] - Real-time dual-eye collaborative eyeblink detection with contrastive learning
Hanli Zhao, Yu Wang , Wanglong Lu, Zili Yi, Jun Liu∗, Minglun Gong
Pattern Recognition, 2025
[paper] - Visual style prompt learning using diffusion models for blind face restoration
Wanglong Lu, Jikai Wang, Tao Wang, Kaihao Zhang, Xianta Jiang, Hanli Zhao*
Pattern Recognition, 2025
[paper] [code] - Degradation-Aware Frequency-Separated Transformer for Blind Super-Resolution
Hanli Zhao, Binhao Wang, Wanglong Lu*, Juncong Lin
International Conference on Computational Visual Media, 2025
[paper] - TextDoctor: Unified Document Image Inpainting via Patch Pyramid Diffusion Models
Wanglong Lu, Lingming Su, Jingjing Zheng, Vinícius Veloso de Melo, Farzaneh Shoeleh, John Hawkin, Terrence Tricco, Hanli Zhao, Xianta Jiang
ArXiv, 2025
[paper] - Do Inpainting Yourself: Generative Facial Inpainting Guided by Exemplars
Wanglong Lu, Hanli Zhao, Xianta Jiang, Xiaogang Jin, Yongliang Yang, Min Wang, Jiankai Lyu, and Kaijie Shi
Neurocomputing 617, 128996, 2025
[paper] [code] - Generative Models for Semantic Facial Image Editing: Multimodal Approaches
Wanglong Lu
PhD thesis, Memorial University of Newfoundland, 2025
[paper] - FACEMUG: A Multimodal Generative and Fusion Framework for Local Facial Editing
Wanglong Lu, Jikai Wang, Xiaogang Jin, Xianta Jiang, and Hanli Zhao∗
IEEE Transactions on Visualization and Computer Graphics, 2024
[paper] - Handling the Non-smooth Challenge in Tensor SVD: A Multi-objective Tensor Recovery Framework
Jingjing Zheng, Wanglong Lu, Wenzhe Wang, Yankai Cao*, Xiaoqin Zhang, and Xianta Jiang
ECCV, 2024
[paper] - Promptrr: Diffusion models as prompt generators for single image reflection removal
Tao Wang, Wanglong Lu, Kaihao Zhang, Wenhan Luo, Tae-Kyun Kim, Tong Lu, Hongdong Li, Ming-Hsuan Yang
ArXiv, 2024
[paper] - TEG: image theme recognition using text-embedding-guided few-shot adaptation
Jikai Wang, Wanglong Lu, Yu Wang, Kaijie Shi, Xianta Jiang, Hanli Zhao
Journal of Electronic Imaging 33(1), 013028, 2024
[paper] [doi] - Restoring Vision in Hazy Weather with Hierarchical Contrastive Learning
Tao Wang, Guangpin Tao, Wanglong Lu, Kaihao Zhang, Wenhan Luo, Xiaoqin Zhang, Tong Lu.
Pattern Recognition Volume 145, January 2024, 109956, 2024
[paper] [doi] [cite] - Detecting Blinks from Wearable Cameras using Spatial-Temporal-Aware Deep Network Learning
Yu Wang, Wanglong Lu, Hanli Zhao, Xianta Jiang∗, Bin Zheng, M. Stella Atkins.
ETRA 23, 2023
[paper] [doi] [cite] - 基于多尺度特征先验的图像拼接篡改检测
吕建凯, 卢望龙, 王敏, 刘影, 史开杭, 黄辉, 赵汉理
China Sciencepaper 17(11), 2022 - Generative image inpainting with enhanced gated convolution and Transformers
Min Wang, Wanglong Lu, Jiankai Lyu, Kaijie Shi, Hanli Zhao.
Displays 76, 102321, 2022
[paper] [doi] [cite] - Efficient Generative Face Completion with Perceptual Deblurring
Hanli Zhao, Ying Liu, Wanglong Lu, Xiaogang Jin, Hui Huang, Kaijie Shi
Journal of Computer-Aided Design & Computer Graphics 34(9), 1420-1431, 2022 - 基于感知去模糊的高效人脸图像修复算法
赵汉理, 刘影, 卢望龙, 金小刚, 黄辉, 史开杭
计算机辅助设计与图形学学报 34(9), 1420-1431, 2022 - 基于概率的深度可分离卷积网络通道剪枝
赵汉理, 史开杭, 金小刚, 徐明亮, 黄辉, 卢望龙, 刘影
计算机科学技术学报 37(3), 584-600, 2022 - Probability-Based Channel Pruning for Depthwise Separable Convolutional Networks
Han-Li Zhao, Kai-Jie Shi, Xiaogang Jin, Ming-Liang Xu, Hui Huang, Wang-Long Lu, Ying Liu.
Journal of Computer Science and Technology 37, 584-600, 2022
[paper] [doi] - Category-consistent deep network learning for accurate vehicle logo recognition
Wanglong Lu, Hanli Zhao, Qi He, Hui Huang, Xiaogang Jin.
Neurocomputing 463, 623-636, 2021
[paper] [doi] [cite] [code] - High‐quality retinal vessel segmentation using generative adversarial network with a large receptive field
Hanli Zhao, Xiaqing Qiu, Wanglong Lu, Hui Huang, Xiaogang Jin.
International Journal of Imaging Systems and Technology 30(3), 828-842, 2020
[paper] [doi]
Patents
- 2023-06 Chinese national invention patent: A category-consistent deep network learning for image recognition, Date of authorization: 2021.04.16, Hanli Zhao, Wanglong Lu, Qi He, Hui Huang. Patent number: ZL 2021 1 0408724.X
- 2021-05 Chinese national invention patent: A deep feature-based convolutional neural network for vehicle logo recognition, Application number: 202010139043.3, Date of authorization: 2021.05.11, Hanli Zhao, Wanglong Lu, Qiang Chen. Patent number：ZL 2020 1 0139043.3
- 2021-07 Chinese national invention patent: A GAN based intelligent segmentation method for retinal blood vessel image, Application number: 201910884346.5, Date of authorization: 2021.07.06, Hanli Zhao, Wanglong Lu, Xiaqing Qiu, Hui Huang. Patent number：ZL 2019 1 0884346.5
- 2021-09 Chinese national invention patent: A convolutional neural network-based intelligent vehicle logo detection method, Application number: 202010139068.3, Date of authorization: 2021.09.03, Hanli Zhao, Wanglong Lu. Patent number：ZL 2020 1 0139068.3
Selected honors
- 2024-04 Student Member Computer Innovation and Entrepreneurship Award of Wenzhou Computer Federation (First Prize, Team Leader)
- 2023-04 Outstanding Research Award (Ph.D.) of The Department of Computer Science at Memorial University
- 2022-05 Mitacs Accelerate Award
- 2020-12 Outstanding Graduates of Wenzhou University
- 2019-12 National Post-Graduate Mathematical Contest in Modeling (Third Prize)
- 2019-07 College Students Programming Competition (CCPC)- Jiangxi College Students programming Competition Award, Jiangxi (Third Prize, Team Leader)
- 2018-06 Outstanding Graduates of Zhejiang Province
- 2017-12 Zhejiang Provincial Government Scholarship, Zhejiang
- 2017-07 The 10th Chinese College Students Computer Design Competition service outsourcing “Parking Treasure Development” (second prize)
- 2016-12 Zhejiang Provincial Government Scholarship, Zhejiang
- 2015-12 Excellent Student Cadre of Communication University of Zhejiang
Work experience
2025.03-Present Senior Data Scientist, AI/Analytics, Nasdaq, St. John’s, NL, Canada
- 2024.05-2025.01 AI algorithm intern, Nasdaq Verafin, St. John’s, NL, Canada
- Design a novel text document image restoration using diffusion models [TextDoctor].
- Design a novel image verification algorithm using Patch Gaussian Latent Discriminant Modeling.
- 2022.07-2022.11 AI algorithm intern, Beaufort Solutions Inc. , 1 Church Hill, St. John’s, NL A1C 3Z7, Canada
- Building an image theme recognition method using image caption and instance segmentation algorithms
- 2017.12-2018.08 AI algorithm intern, Hangzhou Zhongkong Hanlian Electronic Commerce Co. LTD, Hangzhou
- Vehicle logo images Analysis and Processing
- Assisting the development of image annotation tools
Teaching experience
2021.09-2021.12 Teaching assistant of Data Structures and Algorithms, Memorial University
2024.01-2024.04 Teaching assistant of Introduction to Machine Learning, Memorial University