Yan Wang (王龑)

Welcome to Wang Yan (王龑)'s Homepage

2022/12 - Now, I am a Postdoctoral Fellow (Shanghai Super Postdoctoral Fellow) at the Institute of Intelligent Robotics, Fudan University. Supervisor: Prof. Wenqiang Zhang.

2019/09 - 2023/01, I was a Ph.D. student (China National Scholarship, Outstanding Graduate of Shanghai) in Academy for Engineering and Technology, Fudan University, China. Supervisor: Prof. Wenqiang Zhang.

2016/09 - 2019/07, I was a Master student (China National Scholarship, Outstanding Graduate of Shanghai) in College of Information Technology, Shanghai Ocean University, China. Supervisor: Prof. Dongmei Huang and Prof. Wei Song.

Research Interests:

Developing cutting-edge theories and technologies in artificial intelligence and machine vision, including intelligent emotional robots, anomaly detection in industrial scenarios, and low-level vision enhancement , particularly in the domains of

Dynamic Facial Expression Recognition in Different Scenes. The purpose is to design AI models to perceive and understand human emotion from facial images or videos.

Anomaly Detection in Industrial Environments. The purpose is to develop algorithms to process an image so that result is more suitable than original image or video for specific application.

Image Restorationand and Enhancement, Super-resolution. The purpose is to develop algorithms to process an image so that result is more suitable than original image or video for specific application.

Selected Publications (by reseach interest):

(^✉ indicates corresponding author, and ^* indicates equal contribution)

Intelligent Emotional Robots

MGR³Net: Multi-Granularity Region Relation Representation Network for Facial Expression Recognition in Affective Robots
IEEE Trans. on Industrial Informatics, 2024
Yan Wang, Shaoqi Yan, Wei Song, Antonio Liotta, Jing Liu, Dingkang Yang, Shuyong Gao, Wenqiang Zhang^✉.
PDF| Project Page| Github

Freq-HD: an Interpretable Frequency-based High-Dynamics Affective Clip Selection Method for in-the-Wild Facial Expression Recognition in Videos
ACM MM, 2023 [Oral]
Zeng Tao, Yan Wang^✉, Zhaoyu Chen, Boyang Wang, Shaoqi Yan, Kaixun Jiang, Shuyong Gao, Wenqiang Zhang^✉.
PDF| Project Page| Github

Towards Decision-based Sparse Attacks on Video Recognition
ACM MM, 2023 [Oral]
Kaixun Jiang, Zhaoyu Chen, Xinyu Zhou, Jingyu Zhang, Lingyi Hong, JiaFeng Wang, Bo Li, Yan Wang^✉, Wenqiang Zhang^✉.
PDF| Project Page| Github

Efficient Decision-based Black-box Patch Attacks on Video Recognition
ICCV, 2023
Kaixun Jiang, Zhaoyu Chen, Tony Huang, Jiafeng Wang, Dingkang Yang, Bo Li, Yan Wang^✉, Wenqiang Zhang^✉
PDF| Project Page| Github

Empower Smart Cities with Sampling-wise Dynamic Facial Expression Recognition via Frame-Sequence Contrastive Learning
INSAI 2023 --> Computer Communications, 2023
Shaoqi Yan, Yan Wang^✉, Xinji Mai, Qing Zhao, Wei Song, Jun Huang, Zeng Tao, Haoran Wang, Shuyong Gao, Wenqiang Zhang^✉.
PDF| Project Page| Github

FERV39k: A Large-Scale Multi-Scene Dataset for Facial Expression Recognition in Videos
CVPR, 2022 (Three Accept)
Yan Wang, Yixuan Sun, Yiwen Huang, Zhongying Liu, Shuyong Gao, Wei Zhang, Weifeng Ge^✉, Wenqiang Zhang^✉.
PDF| Project Page| Github

DPCNet: Dual Path Multi-Excitation Collaborative Network for Facial Expression Representation Learning in Videos
ACM MM, 2022
Yan Wang, Yixuan Sun, Wei Song, Shuyong Gao, Yiwen Huang, Zhaoyu Chen, Weifeng Ge^✉, Wenqiang Zhang^✉.
PDF| Project Page| Github

A Systematic Review on Affective Computing: Emotion Models, Databases, and Recent Advances
Information Fusion, 2022
Yan Wang, Wei Song, Wei Tao, Dawei Yang, Antonio Liotta,Dawei Yang, Xinlei Li, Shuyong Gao, Yixuan Sun, Weifeng Ge, Wei Zhang, Wenqiang Zhang^✉.
PDF| Project Page| Github

Anomaly Detection in Industrial Scenarios

MSC-AD: A Multi-Scene Unsupervised Anomaly Detection Dataset for Small Defect Detection of Casting Surface
IEEE Trans. on Industrial Informatics, 2023
Qing Zhao, Yan Wang^✉, Boyang Wang, Junxiong Lin, Shaoqi Yan, Wei Song, Antonio Liotta, Jiawen Yu, Shuyong Gao, Wenqiang Zhang^✉.
PDF| Project Page| Github

A Capture to Registration Framework for Realistic Image Super-Resolution in the Industry Environment
ACM MM, 2023
Boyang Wang, Yan Wang^✉, Qing Zhao, Junxiong Lin, Zeng Tao, Pinxue Guo, Zhaoyu Chen, Kaixun Jiang, Shaoqi Yan, Shuyong Gao, Wenqiang Zhang^✉
PDF| Project Page| Github

Mixed Noise-Guided Mutual Constraint Framework for Unsupervised Anomaly Detection in Smart Industries
INSAI 2023 --> Computer Communications, 2023
Qing Zhao, Yan Wang^✉,Yuxuan Lin, Shaoqi Yan, Wei Song, Boyang Wang, Jun Huang, Yang Chang, Lizhe Qi^✉, Wenqiang Zhang^✉.
PDF| Project Page| Github

A User-Friendly Framework for Generating Model-Preferred Prompts in Text-to-Image
AAAI, 2024
Nailei Hei, Qianyu Guo, Zihao Wang, Yan Wang^✉, Haofen Wang^✉, Wenqiang Zhang^✉.
PDF| Project Page| Github

Low-level Vision Enhancement

Enhancement of Underwater Images with Statistical Model of Background Light and Optimization of Transmission Map
IEEE Trans. on Broadcasting, 2020
Wei Song, Yan Wang^✉, Dongmei Huang^✉, Antonio Liotta, Cristian Perra.
PDF| Project Page| Github

An Experimental-based Review of Image Enhancement and Image Restoration Methods for Underwater Imaging
IEEE, 2019
Yan Wang, Wei Song^✉, Giancarlo Fortino, Lizhe Qi, Wenqiang Zhang, Antonio Liotta.
PDF| Project Page| Github

A Rapid Scene Depth Estimation Model Based on Underwater Light Attenuation Prior for Underwater Image Restoration
PCM, 2018 [3 Accept, Oral]
Wei Song^*, Yan Wang^*, Dongmei Huang, Dian Tjondronegoro.
PDF| Project Page Github

Honors & Awards:

In 2023, Outstanding graduate of Shanghai
In 2022, National Scholarship for Graduate Students
In 2021, first-class scholarship in Fudan University
In 2020, Dong Scholarship in Fudan University
In 2020, Outstanding Graduate student of Postgraduate backbone in Fudan University
In 2020, Excellent graduation thesis of Shanghai Ocean University
One paper is recognized as Featured article in IEEE.
In 2019, Alumni Liaison Ambassador of Shanghai Ocean University
In 2019, Outstanding graduate of Shanghai
In 2018, National Scholarship for Graduate Students

Professional Service:

Program Committee Member/Reviewer
- CVPR: 2021, 2022, 2023
- ICCV: 2021, 2023
- ECCV: 2022
- AAAI: 2022, 2023, 2024
- ACM MM: 2022, 2023
Journal Reviewer
- IEEE Transactions on Image Processing (TIP)
- IEEE Transactions on Industrial Informatics (TII)
- IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
- IEEE Transactions on Multimedia (TMM)
- IEEE Transactions on Broadcasting (TBC)
- Pattern Recognition
- Neurocomputing