Hello,
I am a PhD candidate at Zhejiang University, and my advisors are Prof.Changzheng Yuan and Prof. Jie Yang. My major is Public health and Preventive medicine, and my research interests mainly focus on social media and open-access healthcare data analysis. I am a newbie in this area, but fortunately, my advisors and teammates are very nice!
In the future, I hope to do some interesting, meaningful, and useful work in medicine and make a small contribution to human health!
I like badminton, billiards, and 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 every day!
Everything is going well.
Best regards!
Jiageng Wu
Email: wujg1995@163.com
Main publications
2024
[1] Jiageng Wu, Xian Wu, Zhaopeng Qiu, Minghui Li, Shixu Lin, Yingying Zhang, Jie Yang, “Large language models leverage external knowledge to extend clinical insight beyond language boundaries” Journal of the American Medical Informatics Association (2024): ocae079.
2023
[1] 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.
[2] Jiageng Wu, Xian Wu, Yining Hua, Shixu Lin, Yefeng Zheng, and Jie Yang. 2023. Exploring Social Media for Early Detection of Depression in COVID-19 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.
2022
[1] 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.
System Demo
Network Analysis of COVID-19 Symptoms: http://jgwu.top/COVID19-Symptoms-Twitter/network/
The best time is now.