New Highlights
- We will co-organzie Generative AI for Healthcare Workshop at NeurIPS2024 on Dec 14, 2024.
- We co-organzied UT System AI Health Symposium at UT Southwestern in May 2024.
- We have organized The Web Conference 2023 in Austin in May 2023.
- We have organized International Workshop on Digital Twins for Smart Health at The Web Conference 2023
- We have organized 3rd International Workshop on Scientific Knowledge Representation, Discovery, and Assessment (Sci-K 2023) at The Web Conference 2023
- Check our new publications at WACV2022, ICDM2021,AMIA2021, ISBI2021
- We are PC members and Senior PCs for CVPR, ICML, WWW, ICDM, WSDM, SDM, KDD, ICHI, JCDL
- Our COVID paper about research novelty and parachuting collaboration during the COVID-19 pandemic has been featured on Nature and The Atlantic.
- TACC is currently hosting our COVID portal and PubMed portal
- We summarize our COVID-19 researches in 2020, which include: COVID-19 knowledge graph, misinformation in China, machine learning for COVID-19 patient risk prediction, innovation and collaboration in COVID-19 researches, COVID-19 research article portal. We would like to thank all our collaborators. Please check the video here. I joined the COVID-19 panel at IEEE Services 2020.
- We received the Amazon Machine Learning Research Award 2020. We are going to build Human-centered AI Medical Imaging Diagnosis approaches using knowledge graph, NLP, and computer vision. We are working on topics related to knowledge graph for medical images, merging scene graph with text graph, visual grounding for medical images, and visual question&answer for medical imaging, auto annotation of medical images. If you are interested in joining us, please feel free to contact me. Please check our latest paper about using radiomics and deep learning to automaticlly generate bounding boxes for chest x-rays.
- We are building the high quality PubMed Knowledge Graph by extracting biological entities using BioBERT and disambiguating millions of authors. It is published at Scientific Data. Knowledge Graph can be downloaded at http://er.tacc.utexas.edu/datasets/ped.
- Our COVID-19 Seminar: Fighting against COVID-19: Clinical Research, Drug Discovery, and Literature Mining is well received. Here is the link for the 3 hour long video.
New Papers in Progress
- Please check our new paper whether pandemic can reshape science and drive more innovations, and will scienists become more creative during the pandemic
- please check out our attribute2vec paper at arxiv.org. It is the deep learning algorithm which can consider the attributes of your knowledge graph
- Our edge2vec can address the heterogenity by considering the edge semantics of your knowledge graph
- Please check our paper about the evolution of COVID-19 misinformation in China by analzying 3 million weibo data
Co-editing Journals/Book Series/books
- Co-editor-in-chief of Data Intelligence (MIT Press and Chinese Academy of Sciences)
- Co-editor Semantic Web Synthesis (Morgan&Claypool)
- Associate Editor: ACM Transactions on Computing for Healthcare
- Semantic Breakthrough in Drug Discovery
Past Events
- Digital Twins for Health Consortium
- International Workshop on Knowledge Graph: Open Knowledge Network (OKN)at ACM KDD 2022
- Graph Deep Learning Track at The Knowledge Graph Conference, May 2-5, 2022, New York.
- Explainable AI to Enable Better Health at WWW2022
- Knowledge Graph Workshop at ACM KDD 2021
- AI Health Data Challenge
- Personal Health Knowledge Graph Workshop at KGC2021
- Knowledge-Infused Learning Workshop at KGC2021
- AI in Health Workshop at WWW2021
- Women in Data Science in Austin 2021
- Knowledge Graph Workshop at KDD 2020
- Women in Data Scicence in Austin 2020
- Knowledge Graph Workshop at WWW 2019
- Chatbot Workshop at ICWSM 2018
- Data-Driven Discovery Workshop at KDD 2017
