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We built a Chinese dialogue dataset about COVID-19 and other pneumonia. Hopefully it is helpful for developing intelligent tele-medicine systems for COVID-19. The dataset is available at github.com/UCSD-AI4H/COVI…

We built a CT scan dataset about COVID-19. Hopefully it can help with the R&D of CT-based AI methods for COVID-19 screening and testing. The data is available at github.com/UCSD-AI4H/COVI… #COVID #CT #AI

For dialogue datasets of COVID-19 (and other types of pneumonia), in addition to the Chinese version released 2 days ago, we also build an English version. The data is available at github.com/UCSD-AI4H/COVI… #COVID #AI #Dataset #Telemedicine #DialogueSystem

Are non-pharmaceutical interventions (which have huge negative impacts on economics and society) effective for preventing COVID-19? We built a sentiment analysis dataset to help study this issue. The data is available at github.com/UCSD-AI4H/COVI… #covid #NPI #AI #Nonpharmaceutical

We are organizing a grand challenge on "Pathology visual question answering" and invite participations. The task is to develop models to answer questions about the contents of pathology images. There are 32799 questions from 4998 pathology images. pathvqachallenge.grand-challenge.org/PathVQA_challe…

I am happy to host postdocs via the CIFellow program, in the research direction of sample-efficient learning, NLP, ML for healthcare. Please let me know if you are interested.

I am happy to share our recent work "Differentially-private Federated Neural Architecture Search" arxiv.org/abs/2006.10559… Code: github.com/UCSD-AI4H/DP-F…

We are organizing a NeurIPS 2020 workshop: Self-supervised Learning -Theory and Practice. We invite submissions of short papers. The submission deadline is Oct 10. The workshop is featured with 13 invited talks. The website of the workshop is sslneuips20.github.io

We are very excited to be co-organizing a workshop at #AAAI2021 on Trustworthy #AI for #Healthcare! We have a stellar lineup of speakers. Details to follow soon! AAAI w/ Pengtao Xie, Byron Wallace, Jennifer G. Dy, and Eric P Xing.

We are organizing an AAAI workshop: Trustworthy AI for healthcare, featured by 14 invited speakers. We welcome submissions of short papers. The deadline is Nov 9. taih20.github.io

Our NeurIPS workshop on Self-supervised Learning - Theory and Practice will be held tomorrow: 8:50 am to 6:40 pm PST on Dec 12. Welcome to attend. The workshop is featured with 13 invited talks and 45 accepted papers. Workshop webpage: neurips.cc/virtual/2020/p…

We are organizing an ICLR21 workshop: Machine Learning for Preventing and Combating Pandemics, featured with 9 invited talks. We welcome submissions of short papers. The deadline is Feb 26. mlpcp21.github.io

Our workshop "Trustworthy AI for Healthcare" organized at AAAI will be held tomorrow (8:30 am - 6:50 pm PST on Feb 9). The workshop is featured with 13 speakers and 23 accepted papers. Welcome to attend! Zoom link: zoom.us/j/3305983771?p…

Our ICML'21 workshop on "Interpretable Machine Learning for Health" is accepting submissions now! sites.google.com/view/imlh2021/ Co-organized with Xiaoxiao Li Pengtao Xie Vicky Yao Qi Dou Nicha Dvornek Judy Gichoya Yifan Peng Julia Schnabel Ronald Summers Alan Karthikesalingam Eric Xing & Lei Xing

I am excited to receive the NIH Maximizing Investigators' Research Award (MIRA) for Early Stage Investigators. I am deeply grateful to my students for their great work over the past few years and to my collaborators for their strong support and help!