Assist. Prof. Dr. Wei Zhou | Multimedia System | Best Researcher Award

Assist. Prof. Dr. Wei Zhou, Cardiff University, United Kingdom

Wei Zhou is an Assistant Professor at Cardiff University, United Kingdom, in the School of Computer Science and Informatics. With a Ph.D. from the University of Science and Technology of China, jointly completed with the University of Waterloo, Wei has cultivated an impressive career in computational vision, multimedia signal processing, and intelligent displays. His diverse experience includes roles as a visiting scholar at the National Institute of Informatics, Japan, and a research intern at Microsoft and Alibaba Cloud. A Senior Member of IEEE and ACM, Wei has contributed over 70 publications to prestigious journals and conferences, earning over 1,800 citations with an h-index of 24. His groundbreaking work in image and video quality assessment has real-world applications in Alibaba Cloud technologies. A recipient of numerous accolades, including recognition as one of Stanford University’s Top 2% Scientists, Wei continues to lead impactful research at Cardiff while mentoring the next generation of innovators.

Professional Profile:

Scopus

Suitability of Wei Zhou for the Research for Best Researcher Award

Wei Zhou, an Assistant Professor at Cardiff University, exemplifies the qualities of an exceptional researcher with significant contributions to computational vision, multimedia signal processing, and human-oriented visual perception. Below is an analysis of his qualifications and achievements that make him a strong candidate for the “Research for Best Researcher Award

🎓 Education

Wei Zhou holds a Ph.D. in Information and Communication Engineering (2017–2021) from the University of Science and Technology of China (USTC), in collaboration with the University of Waterloo. His dissertation, focusing on multi-source image and video perceptual quality assessment, earned the Outstanding Thesis Award. Wei also pursued a joint Ph.D. in Electrical and Computer Engineering (2019–2021) at the University of Waterloo under Prof. Zhou Wang’s supervision. He completed a Direct Master’s to Ph.D. program at USTC after earning his Bachelor’s in Information Engineering (2012–2016), where he received the Outstanding Bachelor Dissertation Award.

🏢 Professional Experience

Wei Zhou is currently an Assistant Professor at Cardiff University, leading computational vision and multimedia processing research, supervising postgraduate students, and serving as a module leader for the National Software Academy. Prior to this, he was a Postdoctoral Fellow at the Image and Vision Computing Lab at the University of Waterloo (2021–2023), focusing on video and image quality evaluation. Wei has industry experience as a research intern at Microsoft Research and Alibaba Cloud, where he contributed to depth estimation and video assessment models. He was also a Visiting Scholar at Japan’s National Institute of Informatics, specializing in digital content analysis and imaging technologies.

🏅 Awards and Honors

Wei Zhou’s accomplishments include being named among the Top 2% Scientists Worldwide by Stanford University (2024), and receiving the Exceptional Talent endorsement by the UK Royal Society (2023). He won the Grand Challenge Winner Award at CVPR’s CLIC Perceptual Metric Track (2021), and the ACM SIGMM China Outstanding Doctoral Dissertation Award (2022). Other recognitions include the President Award from the Chinese Academy of Sciences (2021), IEEE VCIP Best Reviewer Award (2021), and Outstanding Doctoral Dissertation Funding from USTC (2020).

🔬 Research Focus

Wei Zhou’s research interests are centered on computational vision and multimedia signal processing. He develops advanced algorithms for image and video analysis, with a focus on human-oriented visual perception and user-centric imaging systems. His work spans optical imaging, medical imaging, and display technologies, aiming to create innovative solutions for immersive and interactive visual experiences. Wei’s research bridges theoretical developments with real-world applications, significantly contributing to the fields of multimedia and computational imaging.

Publication Top Notes:

Blind Quality Assessment of Dense 3D Point Clouds with Structure Guided Resampling
- Citations: 1
Subjective and Objective Quality Assessment of Multi-Attribute Retouched Face Images
- Citations: 1
Bayesian Graph Convolutional Network for Traffic Prediction
- Citations: 2
Dual-Constraint Coarse-to-Fine Network for Camouflaged Object Detection
- Citations: 6
Dehazed Image Quality Evaluation: From Partial Discrepancy to Blind Perception
- Citations: 2

Dr. Yunfei Chen | Multimedia Retrieval | Best Researcher Award

Dr. Yunfei Chen, Central south university, China

Yunfei Chen is a passionate research scholar specializing in multimedia hashing retrieval. He received his B.S. degree in Software Engineering from Henan University and his M.S. degree in Software Engineering from Harbin Engineering University. Currently, he is pursuing a Ph.D. at the Big Data Institute, School of Computer Science and Engineering at Central South University in Changsha, China. His research primarily focuses on Cross-Modal Retrieval, Computer Vision, and Pattern Recognition.Yunfei’s academic journey is marked by notable achievements. He has published significant papers in prestigious journals and conferences, including “Supervised Semantic-Embedded Hashing for Multimedia Retrieval” in Knowledge-Based Systems, and “Unsupervised Joint-Semantics Autoencoder Hashing for Multimedia Retrieval” presented at the International Conference on Neural Information Processing.

🌐 Professional Profile:

Education and Experience

🎓 Yunfei Chen holds a B.S. degree in Software Engineering from Henan University and an M.S. degree in Software Engineering from Harbin Engineering University. He is currently pursuing a Ph.D. at the Big Data Institute, School of Computer Science and Engineering, Central South University in Changsha, China. His research interests are Cross-Modal Retrieval, Computer Vision, and Pattern Recognition.

Academic Achievements

📚 Yunfei has made significant contributions to the fields of multimedia retrieval and semantic hashing. His noteworthy publications include:

📄 “Supervised Semantic-Embedded Hashing for Multimedia Retrieval.” Knowledge-Based Systems.

📄 “Unsupervised Joint-Semantics Autoencoder Hashing for Multimedia Retrieval.” International Conference on Neural Information Processing. Singapore: Springer Nature Singapore, 2023: 318-330.

📄 “S3ACH: Semi-Supervised Semantic Adaptive Cross-Modal Hashing.” International Conference on Neural Information Processing. Singapore: Springer Nature Singapore, 2023: 252-269.

Contributions to Research & Development

🔬 Yunfei Chen has made substantial contributions to Research & Development, Innovations, and Extension Activities within his field. His work primarily focuses on Cross-Modal Retrieval, Computer Vision, and Pattern Recognition. Through his research, Yunfei has developed innovative methods and frameworks that enhance the efficiency and effectiveness of multimedia retrieval systems.

🌟 One of his notable contributions is the development of Supervised Semantic-Embedded Hashing for Multimedia Retrieval, which has been recognized in the Knowledge-Based Systems journal. This method integrates semantic information into the hashing process, improving retrieval accuracy and speed.

💡 Additionally, his work on Unsupervised Joint-Semantics Autoencoder Hashing, presented at the International Conference on Neural Information Processing, offers a novel approach to multimedia retrieval that does not require labeled data, making it highly adaptable and scalable.