Lei Wang
I am currently pursuing a combined Master's-PhD program in Information and Communication Engineering from University of Electronic Science and Technology of China (from 2017 to now).
I earned my Bachelor's degree in Electronic and Information Engineering from University of Electronic Science and Technology of China in June 2017 (from 2013 Sep to 2017 June).
Research
My research interests lie in the fields of deep learning, image quality assessment, and computer vision, etc. I have published papers in relevant journals and conferences, such as IEEE TMM, IEEE TCSVT, ACM MM, Displays, IEEE ICIP, IEEE SMC, IEEE VCIP.
简历/CVJournal Papers:
- Learning With Noisy Low-Cost MOS for Image Quality Assessment via Dual-Bias Calibration
Lei Wang, Qingbo Wu, Desen Yuan, King Ngi Ngan, Hongliang Li, Fanman Meng, Linfeng Xu
IEEE TMM 2025 | paper - Scoring Structure Regularized Gradient Boosting Network for Blind Image Quality Assessment
Lei Wang, Qingbo Wu, Fanman Meng, Zhengning Wang, Chenhao Wu, Haoran Wei, King Ngi Ngan
Displays 2025 | paper - Causal perception inspired representation learning for trustworthy image quality assessment
Lei Wang, Qingbo Wu, Desen Yuan, Fanman Meng, Zhengning Wang, King Ngi Ngan
Displays 2025 | paper - Language Bias-Driven Self-Knowledge Distillation with Generalization Uncertainty for Reducing Language Bias in Visual Question Answering
Desen Yuan *, Lei Wang *, Qingbo Wu, Fanman Meng, King Ngi Ngan, Linfeng Xu
Applied Sciences 2022 | paper - Subjective and Objective De-raining Quality Assessment Towards Authentic Rain Image
Qingbo Wu, Lei Wang, King Ngi Ngan, Hongliang Li, Fanman Meng, Linfeng Xu
IEEE TCSVT 2020 | paper
Conference Papers:
- Dual-Criterion Quality Loss for Blind Image Quality Assessment
Desen Yuan*, Lei Wang*
ACM MM 2024 (Oral presentation (3.97% only)) | paper - Towards Adversarial Robustness in Blind Image Quality Assessment with Soft Thresholding Norm
Desen Yuan*, Lei Wang*
IEEE SMC 2024 (Oral presentation) | paper - KonIQ-10k-LT: Overcoming Score Priors in Blind Image Quality Assessment Under Imbalanced Distributions
Desen Yuan, Lei Wang
IEEE VCIP 2024 | paper - Blind Tone-mapped Image Quality Assessment and Enhancement via Disentangled Representation Learning
Lei Wang, Qingbo Wu, King Ngi Ngan, Hongliang Li, Fanman Meng, Linfeng Xu
APSIPA 2020 (Oral presentation) | paper - Beyond Synthetic Data: A Blind Deraining Quality Assessment Metric Towards Authentic Rain Image ICIP 2019 (Oral presentation) | paper
Internship
10/2020 to 2021/10, Internship at Alibaba DAMO Academy. Guided by Dr. Bin Wang, Focus on Face key points, image attribute editing, 3D image generation, multi-view generation, NERF.