Cao Zheng
- IMIC Lab
- People , Engineering teacher
- August 31, 2024
Cao Zheng, Ph.D., is currently a lecturer at the School of Artificial Intelligence of Nanjing University of Information Science & Technology, and a core member of the Jiangsu University Key Laboratory of Intelligent Medical Image Computing and the Smart Medical Research Institute. Graduated with a PhD from the School of Computer Science and Technology, Zhejiang University in 2024. The research direction is medical artificial intelligence methods driven by domain knowledge, mainly including medical imaging intelligent diagnosis, biological/chemical informatics and AI4Science. He has published more than ten papers in top industry journals and conferences, been cited more than 200 times, and has been authorized more than 40 Chinese invention patents. He has received more than ten commendations from Zhejiang University, including Outstanding Graduate Students, Three/Five Best Graduates, Outstanding Youth League Cadres, and Outstanding Graduate Students. Served as a reviewer for several journals or conferences such as Information Fusion, Briefings in Bioinformatics, Artificial Intelligence Review, Neruocomputing, Scientific Reports, Multimedia Systems, etc.
For more information, please visit my personal homepage: https://faculty.nuist.edu.cn/caozheng/zh_CN/index.htm
Representative papers
1 . Cao, Z. , Xu, L., Chen, D. Z., Gao, H., & Wu, J. ‡ (2023). A Robust Shape-Aware Rib Fracture Detection and Segmentation Framework With Contrastive Learning. IEEE Transactions on Multimedia, 25, 1584-1591. (SCI, Q1, IF=8)
Cao, Z., Feng, C., Xu, H., Wu, Z., Gao, H., & Wu, J. ‡ (2023). Employing high-precision edge detection for small-scale dental target recognition, Expert Systems With Applications, 1-11 (SCI Q1, IF=8).
Cao, Z. † , Pan, X. † , Yu, H. † , Hua, S., Wang, D., Chen, D. Z., Min, Z & Wu, J ‡ (2022). A Deep Learning Approach for Detecting Colorectal Cancer via Raman Spectra. BME Frontiers, 1-10. (SCI Q1, IF=5)
Cao, Z ., Yu, B., Lei, B., Ying, H. ‡ , Zhang, X., Chen, D. Z., & Wu, J. ‡ (2021). Cascaded SE-ResUnet for segmentation of thoracic organs at risk. Neurocomputing, 453, 357-368. (SCI, Q1, IF=7)
Cao, Z. † , Sun, C. † , Wang, W., Zheng, X., Wu, J. ‡ , & Gao, H. ‡ (2021). Multi-modality fusion learning for the automatic diagnosis of optic neuropathy. Pattern Recognition Letters, 142, 58-64. (SCI, Q2, IF=4)
Zhu, H. † , Cao, Z. † , Lian, L., Ye, G., Gao, H., & Wu, J ‡ . (2022). CariesNet: a deep learning approach for segmentation of multi-stage caries lesion from oral panoramic X-ray image. Neural Computing and Applications, 1-9. (SCI, Q2, IF=5)
Liu, T. † , Cao, Z . † , Xu, H., Wu, Z., Gao, H., & Wu, J. ‡ (2023). SynCluster: A reaction type clustering and recommendation framework for synthesis planning. JACS Au, 1-20 (SCI Q1, IF=8)
Yu, H. Cao, Z. , Pang, G., Wu, F., Zhu, H. & Zhu, F. (2024). A Deep Learning System for Diagnosing Eruption Abnormalities. Journal of Dentistry, 1-10. (SCI Q1, IF=5)
Jiang, L., Chen, D., Cao, Z ., Wu, F., Zhu, H., & Zhu, F ‡ . (2021). A Two-Stage Deep Learning Architecture for Radiographic Assessment of Periodontal Bone Loss. BMC Oral Health. (SCI Q1, IF=5)
Zhu, H., Yu, H., Zhang, F., Cao, Z ., Wu, F., & Zhu, F ‡ . (2022). Automatic Segmentation and Detection of Ectopic Eruption of the First Permanent Molars on Panoramic Radiographs Based on nnU ‐ Net. International Journal of Paediatric Dentistry. (SCI Q1, IF=5)
Jin, R., Ye, Q., Wang, J., Cao, Z., Jiang, D., Wang, T., Kang, Y., Xu, W., Hsieh, C., Hou, T. ‡ (2024) AttABseq: An Attention-based Deep Learning Prediction Method for Antigen-Antibody Binding Affinity Changes Based on Protein Sequences. Briefings in Bioinformatics. (SCI Q1, IF=7)
Liu R, Wang Y, Xu H, Qin Z, Zhang F, Liu Y., & Cao, Z. . PMANet: Malicious URL detection via post-trained language model guided multi-level feature attention network[J]. Information Fusion, 2025, 113: 102638. (SCI Q1, IF=15)
Cao, Z., Mu, C., Ying, H., & Wu, J ‡ . (2021). Full Scale Attention for Automated COVID-19 Diagnosis from CT Images. In 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (pp. 3213-3216). IEEE. (EI)
Xu, Y., Zhang, L., Vural T., Qian, P., Wang, Y., Fan, Y., Li, M., Tang, X., & Cao, Z. ‡ (2023). STFN: Spatio-Temporal Fusion Network to Detect Ethereum Phishing Scams. EITCE. (EI)
Qian, P., Wu, H., Du, Z., Vural, T., Rong D., Cao, Z., Zhang, L., Wang, Y., Chen, J., & He, Q. ‡ (2024). MuFuzz: Sequence-Aware Mutation and Seed Mask Guidance for Blockchain Smart Contract Fuzzing. 2024 IEEE 40th International Conference on Data Engineering (ICDE). IEEE. (EI, CCF-A)
Translated from the original Chinese source.
