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Yuexing Hao

Ph.D. Student
Cornell University | MIT | Mayo Clinic
yh727@cornell.edu


About Me

I am currently an IvyPlus Exchange Ph.D. Scholar at MIT EECS& LIDS and am pursuing my Ph.D. at Cornell University. My name means “happy walking is good”, and the pronunciation is “You-Sing.”

I hold Computer Science degrees from Rutgers University (B.A.) and Tufts University (M.S). My Ph.D. focuses mainly on AI-based Healthcare Technology, Human-AI interaction, and Healthcare Intelligence. Presently, I am based in the beautiful Cambridge, MA. In my spare time, I love to do many outdoor activities, such as ice hockey, squash, and water skiing.

My old personal website with some interesting posts. Stop using it from Aug 2022.

Research Interests

News

  • [Dec. 2024] My doctoral thesis, "Objective Approaches in a Subjective Medical World," is awarded $10k from 2024 American Psychological Foundation (APF) K. Anders Ericsson Dissertation Research Grant.
  • [Dec. 2024] I will be joining the Google Health AI team as a Research Intern in Summer 2025!
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  • [Nov. 2024] I will give a research seminar at MIT Laboratory for Information and Decision Systems on November 20th.
  • [Oct. 2024] I will give two research talks: one at MIT ML Tea Seminar on October 21st, 4-5 pm EST in Room G882, Hewlett Room; and another at Prof. Gioele Zardini's lab on October 17th, 11am-12pm EST in 32-D677. Let me know if you'd like the Zoom link! (I promise the two talks will cover different topics—one on AI-based healthcare systems and the other on data collection automation in the wild. Can you guess which is which?)
  • [Sep. 2024] I am proud to share that our latest paper working with the Mayo Clinic Radiation Oncology department patient-portal messaging paper is on arXiv: Retrospective Comparative Analysis of Prostate Cancer In-Basket Messages: Responses from Closed-Domain LLM vs. Clinical Teams. This study introduces a novel and rigorous approach to comparing messages generated by LLMs with those from clinical care teams. The results are (expected to be) surprising—check out the paper to find out more!
  • [Sep. 2024] I am honored to receive the North America Women in Tech Most Disruptive Award powered by Amazon .
  • [Aug. 2024] I’ve been nominated by Cornell University for the 2024 Apple Scholars in AI/ML PhD Fellowship! Only three Ph.D. students were nominated across the entire university. Nomination seals the validation :)))))
  • [Aug. 2024] Our AIoT-based Hug System received first place in the IEEE Student Engineering Team Challenge 2024 and won $400 with my colleague Dr. Ryan Ries.
  • [June. 2024] My two poster papers are accepted at ACM CSCW 2024' Computer-Supported Cooperative Work and Social Computing at San José, Costa Rica.
  • [June. 2024] I will present my thesis at the Conference on Health, Inference, and Learning (CHIL) doctoral consortium on June 28th at Cornell Tech, NYC.
  • [June. 2024] I am honored to be selected for the 2024-25 IvyPlus Exchange Scholar program and to receive a full fellowship to join MIT's Laboratory for Information & Decision Systems (LIDS). I will be working with Dr. Marzyeh Ghassemi's Healthy ML Group in Boston.
  • [May. 2024] I am excited to become a program committee (a.k.a. registration co-chair) for ACM Conference on Fairness, Accountability, and Transparency (FAccT) 2024 at Brazil.
  • [May. 2024] I will orally present at the 12th International Shared Decision Making Conference on my thesis research "i-SDM: A Patient-Centered AI Clinical Shared Decision-Making System for Older Adult Cancer Patients".
  • [May. 2024] I will be interning as an AI Research Scientist at Mayo Clinic from May to August 2024, focusing on Shared Decision-Making with LLM to enhance patient-centered health outcomes.
  • [Feb. 2024] I will present our AAAI poster paper in Vancouver Convention Center. Our booth number is 626. Welcome to talk with me!
  • [Dec. 2023] I will talk at Google Computer Science Research Mentorship Program (CSRMP) about 'Explain and Enhance: Patient-Centered Learning With LLM from the Public Online Cancer Forum.'
  • [Nov. 2023] I will talk at Stanford HCI group about 'AI in Healthcare for Community-Dwelling Older Adults.' Recording
  • [Nov. 2023] I am super excited to be selected as the 2023-24 OneReach.ai Academic Fellow, with my proposal 'Explain and Enhance: Patient-Centered Learning With LLM from the Public Online Cancer Forum.'
  • [Feb. 2024] Our poster paper "Digital Twin-Driven Teat Localization and Shape Identification for Dairy Cow" has been accepted to AAAI 24' student poster program, with amazing coauthors Aarushi, Yuting, Tiancheng, Dr. Matthias Wieland, Dr. Parminder Basran, and Dr. Ken Birman!
  • [Feb. 2024] I will become a keynote speaker at 2024 Greg Smith Palliative Care Summit, Hyde Park, NY, discussing 'Advancing Palliative Care with AI.' #AIinHealthcare.
  • [Oct. 2023] Our poster paper about shared decision-making (SDM) for aging populations in chronic disease is accepted to CSCW 2023.
  • [Sep. 2023] I was accepted to 2023 Google CSRMP Fellow :))) Excited about this opportunity!
  • [Aug. 2023] Our department graduate student association received $2500 service funding for Fall 2023!
  • [Jun. 2023] I was accepted to 2023 WHO/Cochrane/Cornell University Summer Institute and received fellowship from Human Centered Design Department ($1500).
  • [Apr. 2023] I received fundings from Cornell Institute for Healthy Futures (CIHF) Research Grant ($500) and will be in Mexico City for EDRA 2023!

    • Selected Awards [Show All Awards]

    Publications

    1. Preprint
      Retrospective Comparative Analysis of Prostate Cancer In-Basket Messages: Responses from Closed-Domain LLM vs. Clinical Teams
      Yuexing Hao, Dr. Jason Holmes, Dr. Jared Hobson, Dr. Alexandra Bennett, Dr. Daniel K. Ebner, Dr. David M. Routman, Dr. Satomi Shiraishi, Dr. Samir H. Patel, Dr. Nathan Y. Yu, Dr. Chris Hallemeier, Brooke E. Ball, Dr. Mark Waddle, Dr. Wei Liu.
      Preprint
      PDF

    2. Preprint
      Drawing Borderline for LLM Applications in Healthcare: Developing an Expert-in-the-Loop LLM-Powered Chatbot for Prostate Cancer Patients
      Yuexing Hao, Dr. Jason Holmes, Dr. Mark Waddle, Dr. Nathan Yu, Dr. Kristen Vickers, Heather Preston, Dr. Drew Margolin, Dr. Corinna Loeckenhoff, Dr. Aditya Vashistha, Dr. Marzyeh Ghassemi, Dr. Saleh Kalantari, Dr. Wei Liu.
      Preprint
      PDF

    3. AAAI
      AI-Based Teat Shape and Skin Condition Prediction for Dairy Management
      Yuexing Hao*, Tiancheng Yuan *, Yuting Yang *, Aarushi Gupta, Dr. Matthias Wieland, Dr. Ken Birman, Dr. Parminder S. Basran.
      The 3rd Deployable AI Workshop at AAAI-2025 (DAI), 2025.
      PDF Product Page * equal contributions

    4. CHI
      Advancing Patient-Centered Shared Decision-Making with AI Systems for Older Adult Cancer Patients
      Yuexing Hao, Zeyu Liu, Robert N. Riter, Dr. Saleh Kalantari.
      2024 CHI Conference on Human Factors in Computing Systems (CHI), 2024.
      PDF News Videos In-Person Oral Presentation

    5. Preprint
      Personalized AIoT-Based Medication/Dietary Supplement Management Intervention
      Yuexing Hao, Dr. Ryan Ries, Dr. Chandana Papudesu, Dr. Jieun Ryoo, Dr. Harry Lee, Dr. Roger Ying, Dr. Lichao Sun.
      Preprint.
      PDF Under Review

    6. CHI
      Harnessing Biomedical Literature to Calibrate Clinicians’ Trust in AI Decision Support Systems
      Dr. Qian Yang, Yuexing Hao*, Kexin Quan*, Stephen Yang*, Yiran Zhao*, Dr. Volodymyr Kuleshov, Dr. Fei Wang.
      2023 CHI Conference on Human Factors in Computing Systems (CHI), 2023.
      PDF News Product Page * equal contributions

    7. IntelliSys
      Dynamic Strategies and Opponent Hands Estimation for Reinforcement Learning in Gin Rummy Game
      Yuexing Hao, Mark Vaysiberg.
      Intelligent Systems and Applications (IntelliSys), 2021.
      PDF Virtual Presentation

    Poster/Workshop Papers

    1. CSCW
      Outcome First or Overview First? Optimizing Patient-Oriented Framework for Evidence-Based Healthcare Treatment Selections with XAI Tools
      Yuexing Hao
      Companion of the Computer-Supported Cooperative Work and Social Computing (CSCW), 2024.
      PDF Poster Presentation

    2. CSCW
      The i-SDM Framework: Developing AI-based Tools in Shared Decision-Making for Cancer Treatment with Clinical Professionals
      Yuexing Hao, Dr. Corinna Loeckenhoff, Dr. Harry Lee, Dr. Jessica Zwerling, Dr. Saleh Kalantari.
      Companion of the Computer-Supported Cooperative Work and Social Computing (CSCW), 2024.
      PDF Poster Presentation

    3. AAAI
      Digital Twin-Driven Teat Localization and Shape Identification for Dairy Cow
      Aarushi Gupta *, Yuexing Hao*, Yuting Yang *, Tiancheng Yuan *, Dr. Matthias Wieland, Dr. Parminder S. Basran, Dr. Ken Birman.
      The 38th AAAI Conference on Artificial Intelligence (AAAI), 2024.
      PDF Project Page * equal contributions

    4. CSCW
      An Exploratory Study of Shared Decision-Making (SDM) for Older Adult Patients with Chronic Diseases
      Yuexing Hao, Zeyu Liu, Dr. Monika Safford, Dr. Rulla Tamimi, Dr. Saleh Kalantari.
      26th ACM Conference On Computer-Supported Cooperative Work And Social Computing (CSCW), 2023.
      PDF In-Person Oral Presentation

    Conference Reviewers

    Professional Services

    Sponsors

    My research is proudly sponsored and supported by:

    Press

    Selected Talks


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