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
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Collaborations and top research areas from the last five years
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A Swin Transformer based on multi-directional-shift window attention and inductive bias for diagnosis of pleural effusion
Tian, Z., Peng, D., Wang, D. D., Zhang, L., Zou, Z., Huang, H. & Zhang, S., Jun 2025, In: Applied Soft Computing Journal. 177, 113146.Research output: Contribution to journal › Article › peer-review
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GeCC: Generalized Contrastive Clustering with Domain Shifts Modeling
Chen, Y., Wu, W., Ou-Yang, L., Wang, R. & Wang, D. D., 11 Apr 2025, In: Proceedings of the AAAI Conference on Artificial Intelligence. 39, 15, p. 15966-15974 9 p.Research output: Contribution to journal › Conference article › peer-review
Open Access1 Citation (Scopus) -
Scoring protein-ligand binding structures through learning atomic graphs with inter-molecular adjacency
Wang, D. D. & Huang, Y., May 2025, In: PLoS Computational Biology. 21, 5 May, e1013074.Research output: Contribution to journal › Article › peer-review
Open Access1 Citation (Scopus) -
基于高置信度伪标签的医疗图像半监督分割方法及其系统
Translated title of the contribution :基于高置信度伪标签的医疗图像半监督分割方法及其系统 Research output: Patent
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AME-LSIFT: Attention-Aware Multi-Label Ensemble With Label Subset-SpecIfic FeaTures
Zhang, X., Wang, R., Chen, S., Jia, Y. & Wang, D. D., 2024, In: IEEE Transactions on Knowledge and Data Engineering. 36, 12, p. 7627-7642 16 p.Research output: Contribution to journal › Article › peer-review
2 Citations (Scopus)
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Reliability of Large Language Models in Computational Drug Discovery
WANG, D. (PI)
1/09/25 → 31/12/26
Project: Research
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Workshop Series on Reliable and Interpretable Deep Learning: Challenges, Theories and Applications in Biomedical Informatics
WANG, D. (PI), CHAN Patrick Pak-kei (CoI), KHAN Sheheryar (CoI), LIU Hui (CoI), NAWAZ Mehmood (CoI), TAO Bishenghui (CoI) & TSANG Eric Cheung-choy (CoI)
1/01/26 → 31/12/26
Project: Research
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Enhanced Data Curation and Graph-based Learning for Dual-Drug Synergy Prediction
WANG, D. (PI) & ZHANG Leo Yu (CoI)
1/01/26 → 31/12/28
Project: Research
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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