Name：Shen Cong
Title：Associate Professor
Type of tutor：Master's supervisor
Email：congshen at email.tjut.edu.cn (with@to replace “at”)
Address：8-307（Institute of Computer Vision）
Telephone：86-022-60216865
He graduated in June 2019 from the College of Intelligence and Computing at Tianjin University, majoring in Computer Application Technology, with a Doctor of Engineering degree. He has published more than 20 papers in CCF-recommended journals, academic conferences, core journals and conferences in the field, as well as other SCI and EI publications. He has supervised multiple postgraduate and undergraduate students in completing research and undergraduate projects and competitions, obtaining excellence awards for master's and bachelor's theses.
Machine learning and data mining for bioinformatics, medical imaging informatics, and human-computer interaction data
1. Identification of lncRNA-protein interactions based on multi-source information collaboration and multi-metric analysis, National Natural Science Foundation of China, Youth Science Fund Project, 2022-2024, Principal Investigator
2. Mechanistic study of eupatorium sesquiterpene targeting IRAK4 to regulate MAPK signaling pathway-mediated macrophage glycolysis and its role in anti-sepsis, Tianjin University of Technology Young Faculty Interdisciplinary Research Support Program, 2025-2026, Participant
3. Data-driven motor fault diagnosis methods and experimental research, Tianjin Enterprise Technology Commissioner Project, 2024-2026, Participant
4. Research on video understanding and action recognition algorithms in complex scenarios, Technical Development, 2024-2027, Principal Investigator
[1] Prediction of lncRNA-protein interactions based on kernel combinations and graph convolutional networks, IEEE Journal of Biomedical and Health Informatics, 2023, 28(4): 1937-1948.
[2] Strict pattern matching under non-overlapping condition, Science China-Information Sciences, 2017. 60(012101): 1869-1919.
[3] DCT-Net: Dual-branch CT reconstruction from orthogonal X-rays with diffusion model and contrastive learning, 2025 Proceedings of Medical Image Computing and Computer Assisted Intervention (MICCAI), 150-160.
[4] CoSLR: Contrastive Chinese sign language recognition with prior knowledge and multi-tasks joint learning, 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2635-2639.
[5] RCGA-Net: An improved multi-hybrid attention mechanism network in biomedical image segmentation, 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 1112-1118.
Java, Software Development, RFID & Wireless Sensor Network
He is a member of the China Computer Federation, China Artificial Intelligence Society, China Society of Biotechnology, China Automation Society, China Society of Graphics and Image, Tianjin Society of Electrical Engineering, and Tianjin Young Scientists Association; IEEE member, BIBM PC member; reviewer for academic journals such as BIB and BMC Bioinformatics.
