News

Jul, 2024 Our application on LLM-empowered data extraction for educational systematic reviews and meta-analyses got accepted to OpenAI’s Researcher Access Program!
May, 2024 Our paper Enabling Visual Recognition at Radio Frequency will appear at MobiCom 2024!
May, 2024 I will be starting my Machine Learning Engineer Internship at Zscaler at San Jose office!
May, 2024 My wife and I release an open-access tool MetaMate to streamline the data extraction process for educational systematic reviews and meta-analyses!
Mar, 2024 Our paper An In-Depth Evaluation of Federated Learning on Biomedical Natural Language Processing for Information Extraction has been accepted to npj Digital Medicine!
Aug, 2023 Our paper Rethinking Transfer Learning for Medical Image Classification has been accepted to BMVC 2023 (oral)!
Jul, 2023 Our paper Ability of Artificial Intelligence to Identify Self-Reported Race in Chest X-Ray Using Pixel Intensity Counts has been accepted to Journal of Medical Imaging (JMI)!
Sep, 2022 Our paper Evaluation of Federated Learning Variations for COVID-19 Diagnosis Using Chest Radiographs from 42 US and European Hospitals accepted to Journal of the American Medical Informatics Association (JAMIA)!
Aug, 2022 Here is a Cisco blog and my exit presentation for my internship at Cisco Research working on Federated Learning.
May, 2022 Our paper SAMCNet: Towards a Spatially Explainable AI Approach for Classifying MxIF Oncology Data accepted to ACM SIGKDD 2022!
Sep, 2021 I’m selected to CS Research Mentorship Program (CSRMP) at Google Research!
Sep, 2021 Our Federated Learning use case was highlighted in Nvidia Clara White Paper.