Jing Wang
Jing Wang
Research Fellow
NLM
Bethesda, MD
Hello, welcome to my homepage!
I have been a research fellow at the National Library of Medicine since 2024, where I bring a wealth of experience and a deep passion for the intersection of machine learning and medicine. Before joining NLM, I was part of the Amazon Forecasting team from April 2021 to 2023, where I specialized in the development and launch of advanced time series forecasting systems. My journal as an Amazonian starts from AWS AI Labs in September 2021, focusing on pioneering work in NLP-based search engines and recommendation systems. Since then, I started the new research projects such as Neural Networks based NLP and bandits. My enthusiasm for search technologies is deeply rooted in my three-year postdoctoral experience at Rutgers University, where I explored the theory and algorithms of hashing and approximate nearest neighbor search. This experience solidified my expertise in AI and its applications in complex problem-solving. In the medical field, my work has been equally transformative. I held positions as a postdoctoral associate in the Department of Radiology at Cornell Medical College under Dr. James K. Min, and as a postdoctoral fellow in the Icahn School of Medicine at Mount Sinai within the Huang Lab|Computational Omics. There, I leveraged neural networks to analyze cardiac imaging and detect coronary thrombosis and applied machine learning to identify genes associated with Alzheimer's Disease. My academic journey also included a significant stint from 2013 to 2015 as a visiting student in the Department of Electrical and Computer Engineering at the National University of Singapore, under the guidance of Shuicheng Yan and Huan Xu. These experiences have not only honed my expertise in AI but have also ignited my ongoing passion for using technology to solve real-world challenges, making each step of my career deeply rewarding.
My research interests are mainly about time series forecasting, natural language processing, feature selection, and approximate nearest neighbor search. Here are my Google Scholar profile, Github profile, and the new website.
News
May 1st 2025, my husband published an interesting book about AI and our first daughter, available on amazon "my daddy is a professor of Artificial Intelligence", here is the introduction.
May 2022: One paper about algorithmic fairness accepted to ICML 2022.
March 2022: One paper about approximate nearest neighbor search accepted to Machine Learning.
Time series forecasting with LLM, in submission.
Search in healthcare, in submission.
LLM for data annotation, in progress.
J. Wang, J. Shen, Xiaofei Ma, Andrew Arnold
Transactions on Machine Learning Research, 2022 (TMLR)
J. Shen, C. Nan, J. Wang
The 39th International Conference on Machine Learning, 2022 (ICML)
J. Wang, J. Shen
Machine Learning, 2022
PloS one, 15 (7), 2020
With M. Pandey, Z. Xu, James K. Min and others
Journal of the American College of Cardiology 73 (9S1), 1643-1643, 2019
With G. Singh, S. J. Alaref, James K. Min and others
Journal of the American Heart Association, 8 (5), 2019
With S. J. Alaref, G. Singh, James K. Min and others
Journal of the American College of Cardiology, B24-B25, 72 (13S), 2018
With S. J. Alaref, A. Rosendael, James K. Min and others
Journal of Cardiovascular Computed Tomography 12 (3), 192-201, 2018
With G. Singh, S. J. Alaref, James K. Min and others
J. Wang, J. Shen, P. Li
The 35th International Conference on Machine Learning, 2018 (ICML)
J. Wang, M. Wang, P. Li, L. Liu, Z. Zhao, X. Hu, X. Wu
IEEE Transactions on Knowledge and Data Engineering, 27(11): 3029-3041, 2015 (TKDE)
J. Wang, M. Wang, X. Hu, S. Yan
Pattern Recognition, 48(10): 3135-3144, 2015 (PR)
J. Wang, C. Lu, M. Wang, P. Li, S. Yan, X. Hu
IEEE Transactions on Cybernetics, 44(12): 2368-2378, 2014 (TSMC-B)
J. Wang, Z. Zhao, X. Hu, Y. Cheung, M. Wang, X. Wu
International Joint Conference on Artificial Intelligence, 1757-1763, 2013 (IJCAI)
J. Wang, Z. Zhao, X. Hu, Y. Cheung, H. Hu, F. Gu
Proceedings of the 2013 International Conference on Brain and Health Informatics, 516-523, 2013 (BHI)
L. Ma, Z. Zhao, J. Wang
Proceedings of the 2013 International Conference on Intelligent Computing, 106-111, 2013 (ICIC)
J. Wang, G. Wu, X. Hu
Proceedings of the 2012 ChinaGrid Annual Conference, 36-42, 2012 (ChinaGrid)
Conference Reviewer: AISTATS 2022, ICML 2022, ICLR 2022, AISTATS 2022, NeurIPS 2021, ICML 2021, IJCAI 2021, ICLR 2021, ICML 2020, NeurIPS 2019, NeurIPS 2018, AAAI 2018.
Journal Reviewer: IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), IEEE Transactions on Knowledge and Data Engineering (TKDE), IEEE Transactions on Neural Networks and Learning Systems (TNNLS).