Now, I am a new PhD candidate at YLab, Zhejiang University and my adviser is Prof. Jie Yang. My major is Big Data in Health Science, and my research interests mainly focus on AI in healthcare / public health and natural language processing (NLP). Actually, I am also a newbie in NLP, but fortunately Yang and my teammates are very nice! Currently, I am working hard to learn related algorithms and technologies :)
Previously, I received the M.S. degree in translational medicine at School of Public Health, Xiamen University and received the B.E. degree in computer science and technology from Beijing University of Chemical Technology. And, during my master’s period, I mainly developed machine learning algorithms for cryo-EM image processing and In vitro diagnostic equipment at National Institute of Diagnostics and Vaccine Development in Infectious Diseases (NIDVD).
In the future, I hope I can do some interesting, meaningful and useful work in AI / medicine, making a little contribution to human health !!!
I like badminton and billiards, and I also like the Dota2 although I have not played it for a long time…
If you see here, you are probably interesting and free, and such people usually have more luck :) I also wish you happy and healthy everyday!
Everything goes well, best regards!
 Jiageng, Wu, Lumin Wang, Yining Hua, Minghui Li, Li Zhou, David W. Bates, and Jie Yang. “Trend and Co-occurrence Network of COVID-19 Symptoms From Large-Scale Social Media Data: Infoveillance Study.” Journal of Medical Internet Research 25 (2023): e45419.
 Jiageng Wu, Xian Wu, Yining Hua, Shixu Lin, Yefeng Zheng, and Jie Yang. 2023. Exploring Social Media for Early Detection of Depression in COVID19 Patients. In Proceedings of the ACM Web Conference 2023 (WWW ’23), May 1–5, 2023, Austin, TX, USA. ACM, New York, NY, USA, 10 pages.
 Zeng, Qingcheng, Lucas Garay, Peilin Zhou, Dading Chong, Yining Hua, Jiageng Wu, Yikang Pan, Han Zhou, and Jie Yang. “GreenPLM: Cross-lingual pre-trained language models conversion with (almost) no cost.”. IJCAI 2023
 Haisheng Li, Jiageng Wu , Ning Lia, Yumei Zhang, Wei Luo, Zhenzhen Zhang, Shixu Lin, Xingang Wang, Chunmao Han, Zhiqiang Yuan, Gaoxing Luo#, Jie Yang#. “Deployable artificial intelligence system for prediction of tracheostomy in burn patients: a cross-institutional study “ (submitting)
 Jiageng Wu, Xian Wu, Zhaopeng Qiu, Minghui Li, Jie Yang, “Qualifying Chinese Medical Licensing Examination with Knowledge Enhanced Generative Pre-training Model” (submitting)
 Huang, Shaolei, Jiageng Wu, Haozheng Dai, Runxin Gao, Hongyu Lin, Dongxu Zhang, and Shengxiang Ge. “Development of amplification system for point-of-care test of nucleic acid.” Computer Methods in Biomechanics and Biomedical Engineering 25, no. 9 (2022): 961-970.
 Wang, Zeqiang, Yile Wang, Jiageng Wu, Zhiyang Teng, and Jie Yang. “YATO: Yet Another deep learning based Text analysis Open toolkit.” arXiv preprint arXiv:2209.13877 (2022).
 Zhou, Peilin, Zeqiang Wang, Dading Chong, Zhijiang Guo, Yining Hua, Zichang Su, Zhiyang Teng, Jiageng Wu, and Jie Yang. “METS-CoV: A Dataset of Medical Entity and Targeted Sentiment on COVID-19 Related Tweets.” NIPS 2022.
 Wu, Jia-Geng, Yang Yan, Dong-Xu Zhang, Bo-Wen Liu, Qing-Bing Zheng, Xiao-Liang Xie, Shi-Qi Liu, Sheng-Xiang Ge, Zeng-Guang Hou, and Ning-Shao Xia. “Machine learning for structure determination in single-particle cryo-electron microscopy: A systematic review.” IEEE Transactions on Neural Networks and Learning Systems 33, no. 2 (2021): 452-472.
 Yan, Yang, JiaGeng Wu, Bowen Liu, Qingbing Zheng, Dongxu Zhang, Shengxiang Ge, Jun Zhang, and Ningshao Xia. “A Novel Clustering Method Using Variational Autoencoder with Reliable Sample Decision and Balanced K-Means++ for Single-particle Cryo-EM Images.” In 2021 IEEE 10th Data Driven Control and Learning Systems Conference (DDCLS), pp. 213-217. IEEE, 2021.
Prediction of tracheostomy for burn patients: https://ylab.top/softwares/tracheostomy
Network Analysis of COVID-19 Symptoms: http://jgwu.top/COVID19-Symptoms-Twitter/network/
The best time is now.