Familiar with Web Development (HTML
and CSS), Git, and Linux Systems ...
Strong foundation in statistics, math, computer science, and manufacturing engineering.
1. D. Tan, Y. Su, X. Peng, X. Zhang, C-H. Zheng, and W. Zhong*. Large-Scale Data-Driven Optimization in Deep Modeling with An Intelligent Decision-Making Mechanism,
IEEE Transactions on Cybernetics, 2023, DOI: 10.1109/TCYB.2023.3278110. (一区Top)
2. D. Tan, Z. Huang, X. Peng, W. Zhong*, and V. Mahalec*. Deep adaptive fuzzy clustering for evolutionary
unsupervised representation learning, IEEE Transactions on Neural Networks and Learning Systems, 2023, DOI: 10.1109/TNNLS.2023.3243666. (一区Top)
3. D. Tan, L. Chen, C. Jiang, W. Zhong*, W. Du, F. Qian, and V. Mahalec. A circular targets feature detection framework based on DCNN for industrial applications,
IEEE Transactions on Industrial Informatics, 17(5): 3303-3313, 2021. (一区Top)
4. D. Tan, W. Zhong*, X. Peng, Q. Wang, and V. Mahalec. Accurate and fast deep evolutionary networks structured representation through activating and freezing dense networks,
IEEE Transactions on Cognitive and Developmental Systems, 14(1): 102-115, 2022. (二区)
5. Y. Su, R. Lin, J. Wang, D. Tan*, and C-H. Zheng. Denoising adaptive deep clustering with self-attention mechanism on single-cell sequencing data,
Briefings in Bioinformatics, 2023, DOI: 10.1093/bib/bbad021. (生物信息Top期刊)
6. D. Tan, W. Zhong*, X. Peng, Q. Wang, and V. Mahalec. Automatic determining optimal parameters in multi-kernel collaborative fuzzy clustering based on dimension constraint,
Neurocomputing, 443: 58-74, 2021. (二区Top)
7. D. Tan, W. Zhong*, C. Jiang, X. Peng, and W. He. High-order fuzzy clustering algorithms based on multikernel mean shift, Neurocomputing, vol. 385, pp. 63-79, 2020. (二区Top)
8. D. Tan, Y. Yang, M. Wang, P. Wang, L. Zhang, T-O. Ishdorj, and Y. Su*. Extraction of relationship between esophageal cancer and biomolecules based on BioBERT, Proc. 2023 International Conference on Intelligent Computing (ICIC), 2023, Accepted. (CCF C类)
9. W. Zhong*, D. Tan, X. Peng, Y. Tang, and W. He. Fuzzy high-order hybrid clustering algorithm based on swarm intelligence sets, Neurocomputing, 314, 347-359, 2018. (二区Top, 导师一作学生二作)
10. J. Wang, J. Xia, D. Tan, R. Lin, Y. Su, and C-H. Zheng*. scHFC: a hybrid fuzzy clustering method for single-cell RNA-seq data optimized by natural computation,
Briefings in Bioinformatics, 23(2): 1-13, 2022. (生物信息Top期刊)
11. C. Jiang, W. Zhong*, Y. Lu, B. Huang*, W. Song, D. Tan, and F. Qian. Deep Bayesian Slow Feature Extraction with Application to Industrial Inferential Modeling,
IEEE Transactions on Industrial Informatics, 19(1): 40-51, 2023. (一区Top)
12. Z. Zhang, Y. Zhang, D. Yue*, C-X. Dou, L. Ding, and D. Tan. Voltage regulation with high penetration of low-carbon energy in distribution networks: a source-grid-load-collaboration-based perspective,
IEEE Transactions on Industrial Informatics, 18(6), 3987-3999, 2022. (一区Top)
13. P. Wei, Z. Pang, L. Jiang, D. Tan, Y. Su, and C-H. Zheng*. Promoter prediction in nannochloropsis based on densely connected convolutional neural networks,
Methods, 204: 38-46, 2022.
14. Q. Wang, L. Zino, D. Tan, J. Xu, and W. Zhong*. Fully distributed quantized secure bipartite consensus control of nonlinear multiagent systems subject to denial-of-service attacks, Neurocomputing, , 505: 101-115, 2022. (二区Top)
15. Q. Wang, W. He, D. Tan, W. Zhong*. Event-triggered control for leader-following bipartite bounded consensus of multiagent systems under quantized information, Proc. IECON 2021: Annual Conference of the IEEE Industrial Electronics Society, 2021.
16. Q. Wang, W. He*, L. Zino, D. Tan, and W. Zhong*. Bipartite consensus for a class of nonlinear multi-agent systems under switching topologies: a disturbance observer-based approach,
Neurocomputing, 488: 3130-3143, 2022. (二区Top)
17. Q. Wang, W. Zhong*, J. Xu, W. He, and D. Tan. Bipartite tracking consensus control of nonlinear high-order Multi-agent systems subject to exogenous disturbances,
IEEE Access, 145910-145920, 2019.
18. R. Cao, Q. Gu, D. Tan, P. Wei, and C-H. Zheng*. Prediction of microsatellite instability of colorectal cancer using multi-scale pathological images based on deep learning,
Proc. 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2022, DOI:10.1109/BIBM55620.2022.9995576. (CCF B类)
19. Q. Wang, W. He, D. Tan, W. Zhong*. Consensus disturbance rejection of nonlinear multi-agent systems over cooperation-competition networks,
Proc. China Automation Congress (CAC2021), 2021.
