Our proposal of "Deep Learning Interpretation Framework for Medical Images" has been awarded funding from GWU CDRF (FY23) - Cross Disciplinary Research Fund, $50K, PI: Fang Jin. Thanks, GWU.
Our Tutorial on Deep Learning Interpretation: A Data Perspective will be presented on Oct 18th, 2022 at CIKM. More details, please visit here. Thank you!
Invited by the Chair of Computer Science Department, I gave a seimar talk titled with "Trustworthy AI from a statistical perspective" for the Trustworthy AI NRT program at GWU. Glad to have this opportunity!
Our proposal was selected by FDA for founding. The full proposal name is “Leveraging Social Media Data to Extract Long-term Patient Experiences following SARS CoV-2 Infection Using Natural Language Processing”. Thank you, FDA. Fang Jin Serves as PI at GWU.
Shunyan joined Amazon after his graduation. Congratulations, Dr. Luo!
I am very glad to have the opportunity to give a seminar talk in the department of Computer Science, at Virginia Tech Fall Church campus. The talk title is "Deep Learning Interpretation based on Structured Statistical Saliency".
I am very joyful to serve as Co-Chair in the GIS CUP session. Details can be found at here
I am grateful to searve as Poster session Chair at The 2021 ICSA Applied Statistics Symposium. More details can be seen at https://symposium2021.icsa.org/committees/
Jin was invited as a keynote speaker at the Conference on Social Connections to Promote Individual and Community Resilience in Post-COVID-19 Society. She gave a seminar talk about building knowledge graph of COVID-19 using deep learning. More details can be seen at https://socialconnectionsconference.uta.edu/schedule/
Hongfei Joined Capital One. Congratulations, Dr. Du!
PI: James Hahn, R01DK129809, “Advancing 3D optical body surface scan technology to assess physiological and psychological effects in highly obese population,” 9/1/21-8/31/25, $2,232,783. Fang Jin serves as Co-I.
Congrats to Shunyan of his paper "Statistically Consistent Saliency Estimation"! Aceeptance Rate: 25.9%.
Congrats to Hongfei of his paper "Uncertainty Quantification in CNN Through the Bootstrap of Convex Neural Networks"! Acceptance Rate: 21%.
In the Department of Statistics at GWU, Dr. Jin will teach Deep Learning, Data Mining, Programming, and Databse.
Congrats, Dr. Nguyen! Long becomes the first phd student graduated from the Data Discovery Lab. Long will join TTU as an instructor.
Dr. Jin's group successfully hosted the 1st Workshop on Water Resource Management in Smart and Connected Communities on July 30, 2018.Link →
PI: Fang Jin, CNS-1737634, “SCC-Planning: Enhancing Water Resource Management and Infrastruc-ture Improvement through Sensing, Computation, and Community Engagement”, 9/1/2017–8/31/2019, $99,940. Thank you, NSF.Link →