Name：Congcong Wang
Title：Lecturer
Type of tutor：Master's supervisor
Email：congcong_wang@yeah.net
Address：7-314A
I am affiliated with the School of Computer Science, Tianjin University of Technology and Computer Vision Research Institute. My research focuses on computer vision, multimodal perception, and artificial intelligence, with applications in medical imaging, intelligent manufacturing, and healthcare systems.
I received my Ph.D. in Computer Science from the Norwegian University of Science and Technology (NTNU) in collaboration with Oslo University Hospital (OUS). Before joining Tianjin University of Technology, I worked as a researcher at NTNU and Oslo University Hospital in Norway, where I contributed to medical robotics, surgical navigation, and computer-assisted intervention research. Earlier in my career, I worked as an engineer at Ericsson Research in Beijing, focusing on algorithm development for digital unit products in wireless communication systems.
I maintain active academic collaborations with institutions such as NTNU, Oslo University Hospital, the University of Oslo, Université Sorbonne Paris Nord, INRIA, and Rochester Institute of Technology. I also serve as a reviewer for leading journals and conferences, including IEEE TMI, IEEE TIP, IEEE TCSVT, and MICCAI.
My research interests include computer vision, multimodal perception, medical image analysis, surgical navigation, image enhancement and restoration, 3D reconstruction, multimodal data fusion, and artificial intelligence for healthcare and intelligent manufacturing. More specifically, I am interested in developing robust machine learning and computer vision methods for integrating heterogeneous multimodal data and solving challenging real-world problems in medical and industrial scenarios.
Principal Investigator
- National Natural Science Foundation of China (NSFC) Fund: Weakly Supervised Learning for Unpaired Datasets and Its Application to Laparoscopic Video Dehazing (2022–2024)
- Industry-funded Project: ECG Data Analysis for Body Area Networks in Cardiac Monitoring (2024–2026)
- Industry-funded Project: Data-driven Intelligent Welding Decision System (2022)
· NTNU Innovation Project: Stereo Vision-based Organ Surface Registration for Surgical Navigation (2020)
Participant / Key Contributor
- Tianjin Youth Science and Technology Project: Multispectral Video Target Detection for Low-altitude UAV Systems (2023–2025)
- Tianjin Innovation Platform Project: China–Foreign Joint Research Center for Smart Agricultural Inspection (2024–2026)
- NSFC General Program: Scene Motion Analysis Based on 4D Light Field Modeling (2023–2026)
- NSFC General Program: Semantic-driven Processing of Imbalanced Visual Data and Atmospheric Scattering Restoration (2022–2025)
- EU Horizon 2020 MSCA ITN Project – HiperNav: High-performance Navigation Technologies for Soft Tissue Minimally Invasive Surgery (2016–2021)
- Norwegian Research Council Project – IQ-Med: Image Quality Enhancement in Medical Diagnosis, Monitoring and Treatment (2016–2020)
[1] Jingtao Li, Zhixuan Zhou, Xintong Zhao, Mounir Kaaniche, Congcong Wang*, and Ding Liu*. "SU3plus: An
Enhanced Swin-UNet for Synthesizing Vertically Integrated Liquid from Multiple Meteorological Satellite
Data." IEEE Transactions on Geoscience and Remote Sensing, 2025 (IF =8.6, JCR Q1).
[2] Congcong Wang, Meng Zhao*, Chengguang Zhou, Nanqing Dong, Zohaib Amjad Khan, Xintong Zhao, Faouzi Alaya Cheikh, Azeddine Beghdadi, and Shengyong Chen. Smoke veil prior regularized surgical field desmoking without paired in-vivo data. Computers in Biology and Medicine, 2024 (IF=7.7, JCR Q1)
[3] Jia Chen, Congcong Wang*, Fan Shi*, Mounir Kaaniche, Meng Zhao, Yan Jing and Shengyong Chen. DSNet: A
Dynamic Squeeze Network for Real-time Weld Seam Image Segmentation. Engineering Applications of Artificial Intelligence, 2024 (IF=8, JCR Q1)
[4] Hengjia Hu#, Mengnan Liang#, Congcong Wang*, Meng Zhao, Fan Shi, Chao Zhang, Yilin Han. Monocular depth estimation with boundary attention mechanism and Shifted Window Adaptive Bins, Computer Vision and Image Understanding, 2024 (IF=4.3, JCR Q2).
[5] Chuangshi Ma, Congcong Wang*, and Meng Zhao. Laparoscopic video desmoking with mutually attentionguided
deformable convolutional networks and LBP prior. International Joint Conference on Neural Networks, 2024
[6] Yimei Liu, Qin Cai, Congcong Wang, Jian Yang, Hao Fan*, Junyu Dong*, Sheng Chen. Geometry-Enhance Attentive Multi-View Stereo for Challenging Matching Scenarios, IEEE Transactions on Circuits and Systems for Video Technology, 2024 (IF=8.4, JCR Q1).
[7] Yanhong Yang, Congcong Wang*, Yuan Feng, Jianhua Zhang, Yuhui Zheng, and Shengyong Chen*. Regularizing Subspace Representation for Fusing Hyperspectral and Multispectral Images. in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 (IF=4.7, JCR Q1).
[8] Ma J, Zhang Y, Gu S, Zhu C, Ge C, Zhang Y, An X, Wang C, Wang Q, Liu X, Cao S, Zhang Q, Liu S, Wang Y, Li Y, He J, Yang X#. Abdomenct-1k: Is abdominal organ segmentation a solved problem. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 (IF=24, JCR Q1).
Algorithms and Programming, Artificial Intelligence, C++ Programming, etc.
- NTNU Innovation Award, Norwegian University of Science and Technology, Norway.
- First Prize, National Artificial Intelligence Innovation Application Competition (“Xingzhi Cup”), including both the national finals and the solution competition track, and Top 50 High-Value AI Application Solutions, National Artificial Intelligence Innovation Application Competition.
- Outstanding Contribution Award, International Conference on High Performance Big Data and Intelligent Systems (HDIS 2022).
