Yanda Wang

Yanda Wang

Exploring Data Mining | Focused on Clinical Data

Dr. Yanda Wang (王延达)

Lecturer
School of Computer and Electronic Information
Nanjing Normal University

Short Bio

Dr. Yanda Wang is currently a lecturer at Nanjing Normal University. He earned his PhD from Nanjing University of Aeronautics and Astronatucs supervised by Professor Dechang Pi and Professor Xue Li, and he was a visiting student at the University of Bristol from January, 2023 to December 2023 advised by Professor Ian Nabney. Before that, he completed his Master’s degree and Bachelor’s degree at Nanjing University of Aeronautics and Astronautics. His research interests primarily lie in data mining, with a special focus on its application to clinical data.

Publications

  • Yanda Wang, Lin Yue, Ying Li. Topological Knowledge Enhanced Personalized Ranking Model for Sequential Medication Recommendation. ADMA (4) 2024: 109-124.
  • Di Zhu, Yi Liu, Weitong Chen, Yanda Wang, Yefan Huang, Xiaoli Wang, Ken Cai, Bohan Li. Graph Convolution Synthetic Transformer for Chronic Kidney Disease Onset Prediction. ADMA (3) 2023: 33-47.
  • YD Wang, WT Chen, DC Pi, L Yue. Adaptive Multi-Hop Reading on Memory Neural Network with Selective Coverage Mechanism for Medication Recommendation. Acta Electronica Sinica 50 (4), 943-953, 2022.
  • Yanda Wang, Weitong Chen, Dechang Pi, Lin Yue, Miao Xu, Xue Li. Multi-hop Reading on Memory Neural Network with Selective Coverage for Medication Recommendation. CIKM 2021: 2020-2029.
  • Yanda Wang, Weitong Chen, Dechang Pi, Lin Yue, Sen Wang, Miao Xu. Self-Supervised Adversarial Distribution Regularization for Medication Recommendation. IJCAI 2021: 3134-3140.
  • Yanda Wang, Weitong Chen, Dechang Pi, Lin Yue. Adversarially regularized medication recommendation model with multi-hop memory network. Knowl. Inf. Syst. 63(1): 125-142 (2021).
  • Yanda Wang, Weitong Chen, Dechang Pi, Robert Boots. Graph augmented triplet architecture for fine-grained patient similarity. World Wide Web 23(5): 2739-2752 (2020).
  • Yanda Wang, Weitong Chen, Bohan Li, Robert Boots. Learning Fine-Grained Patient Similarity with Dynamic Bayesian Network Embedded RNNs. DASFAA (1) 2019: 587-603.

Grants and Funding

  • National Natural Science Foundation of China, Grant No.62406145, 2025.01-2027.12, CNY 300,000, Principle Investigator.
  • National Natural Science Foundation of China, Grant No.62476135, 2025.01-2028.12, CNY 500,000, Participant.
  • Natural Science Foundation of Jiangsu Higher Education Institutions of China, Grant No.24KJB520015, 2024.07-2026.07, CNY 30,000, Principle Investigator.
  • Scientific Research Foundation of Nanjing Normal University, 2023.07-2025.12, CNY 80,000, Principle Investigator.

Professional Service

  • Proceeding chair, International Conference Advanced Data Mining and Applications (ADMA) 2025

Teaching

  • Data Mining, Nanjing Normal University.
  • Software Engineering, Nanjing Normal University.
  • Python, Nanjing Normal University.

Contact

yandawang@nnu.edu.cn
No.1 Wenyuan Road, Qixia District, Nanjing
P.R.China 210023