Research output per year
Research output per year
Personal profile
Biography
Dr. WANG Dan received her PhD degree from Department of Electronic Engineering, City University of Hong Kong in 2014. Afterwards, she pursued her research in multiple institutes, including City University of Hong Kong (2015 - Postdoc, 2019 - RF), Caritas Institute of Higher Education (2016 - AP), National University of Singapore (2017~2018 - RF) and University of Shanghai for Science and Technology (2020~2022 - AP). She is now working as an Assistant Professor in School of Science and Technology, Hong Kong Metropolitan University.
Dr. WANG Dan's research is focused on structural bioinformatics and health informatics. Detailed research topics include (1) Designing structure-based scoring functions (SFs) for protein-ligand binding-affinity prediction (BAP) in structure-based drug design, (2) Target-specific BAP and drug-efficacy exploration in studies of non-small-cell lung cancer (NSCLC) and (3) Data processing and knowledge mining in massive Electronic Medical Records (EMRs).
Research interests
- Teaching Areas: Algorithms, Database, Programing Languages, AI
- Research Interests: Structural Bioinformatics, Structure-based Drug Design, Health Informatics
Qualifications
PhD [CityU], MIEEE
Memberships
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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An efficient method of renewing object-induced three-way concept lattices involving decreasing attribute-granularity levels
Xie, J., Yang, J., Li, J. & Wang, D. D., Jan 2024, In: International Journal of Approximate Reasoning. 164, 109083.Research output: Contribution to journal › Article › peer-review
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A novel information fusion method using improved entropy measure in multi-source incomplete interval-valued datasets
Xu, W., Cai, K. & Wang, D. D., Jan 2024, In: International Journal of Approximate Reasoning. 164, 109081.Research output: Contribution to journal › Article › peer-review
3 Citations (Scopus) -
Structure-based, deep-learning models for protein-ligand binding affinity prediction
Wang, D. D., Wu, W. & Wang, R., Dec 2024, In: Journal of Cheminformatics. 16, 1, 2.Research output: Contribution to journal › Review article › peer-review
Open Access4 Citations (Scopus) -
Improving the Adversarial Robustness of Deep Neural Networks via Efficient Two-Stage Training
Wang, R., Xiong, J., Ke, H., Jia, Y. & Wang, D. D., 2023, Proceedings of 2023 International Conference on Machine Learning and Cybernetics, ICMLC 2023. p. 43-49 7 p. (Proceedings - International Conference on Machine Learning and Cybernetics).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Multi-Label Oversampling Based on Borderline
Zhang, X. Y., Wang, R. & Wang, D. D., 2023, Proceedings of 2023 International Conference on Machine Learning and Cybernetics, ICMLC 2023. p. 50-56 7 p. (Proceedings - International Conference on Machine Learning and Cybernetics).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Projects
- 3 Active
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Non-small cell lung cancer-Oriented Molecular Characterization in Drug-response Prediction
WANG, D. (PI)
1/12/24 → 30/11/25
Project: Research
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Geometric Deep Learning for Molecular Property Prediction
WANG, D. (PI)
1/09/23 → 28/02/25
Project: Research