publications

(*, †, and ‡ denote equal contribution)

2026

  1. ICLR
    Can we generate portable representations for clinical time series data using LLMs?
    Zongliang Ji, Yifei Sun, Andre Carlos Kajdacsy-Balla Amaral, and 2 more authors
    In The Fourteenth International Conference on Learning Representations , 2026
    PDF Code Website
  2. MIDL
    Unpaired Multimodal Learning for Biological Datasets
    Zongliang Ji, Cian Eastwood, Anna Goldenberg, and 4 more authors
    In Medical Imaging with Deep Learning , 2026
    PDF

2025

  1. ML4H
    Dialogue to Question Generation for Evidence-based Medical Guideline Agent Development
    Zongliang Ji*, Ziyang Zhang*, Xincheng Tan, and 5 more authors
    Machine Learning for Healthcare Symposium, 2025
    PDF Code
  2. CHIL
    ExOSITO: Explainable Off-Policy Learning with Side Information for Intensive Care Unit Blood Test Orders
    Zongliang Ji, Andre Carlos Kajdacsy-Balla Amaral, Anna Goldenberg, and 1 more author
    In Conference on Health, Inference, and Learning , 2025
    PDF Code
  3. AACR
    Abstract B086: External validation of a multimodal machine learning system to predict outcomes in advanced pancreatic cancer in the PASS-01 trial
    Wei Quan, David Henault, Amy Zhang, and 8 more authors
    Cancer Research, 2025
    PDF
  4. ASCO
    Multimodal machine learning predictions of treatment response and survival in advanced pancreatic cancer from the COMPASS trial.
    Wei Quan, David Henault, Gun Ho Jang, and 8 more authors
    American Society of Clinical Oncology, 2025
    PDF
  5. ICLR LMRL
    Multi-modal disentanglement of spatial transcriptomics and histopathology imaging
    Hassaan Maan, Zongliang Ji, Elliot Sicheri, and 6 more authors
    Learning Meaningful Representations of Life (LMRL) Workshop, 2025
    PDF Code
  6. preprint
    Recent advances, applications and open challenges in machine learning for health: Reflections from research roundtables at ml4h 2024 symposium
    Amin Adibi, Xu Cao, Zongliang Ji, and 8 more authors
    arXiv preprint arXiv:2502.06693, 2025
    PDF

2024

  1. TFST
    Bridging odorants and olfactory perception through machine learning: A review
    Risheng Zhong, Zongliang Ji, Shuqi Wang, and 1 more author
    Trends in Food Science & Technology, 2024
    PDF
  2. TPAMI
    Regularized loss with hyperparameter estimation for weakly supervised single class segmentation
    Zongliang Ji, and Olga Veksler
    IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024
    PDF Code

2023

  1. ML4H Findings
    Measurement scheduling for icu patients with offline reinforcement learning
    Zongliang Ji, Anna Goldenberg, and Rahul G Krishnan
    Machine Learning for Healthcare Symposium, Findings Track, 2023
    PDF
  2. GCC
    Machine learning in computational histopathology: Challenges and opportunities
    Michael Cooper*, Zongliang Ji*, and Rahul G Krishnan
    Genes, Chromosomes and Cancer, 2023
    PDF
  3. MIDL
    Considerations for data acquisition and modeling strategies: Mitosis detection in computational pathology
    Zongliang Ji*, Philip Rosenfield, Christina Eng, and 6 more authors
    In Medical Imaging with Deep Learning , 2023
    PDF

2021

  1. BMVC
    Weakly Supervised Semantic Segmentation: From Box to Tag and Back.
    Zongliang Ji, and Olga Veksler
    In Proceedings of the British Machine Vision Conference (BMVC) , 2021
    PDF Code

2020

  1. SAT
    Matrix multiplication: verifying strong uniquely solvable puzzles
    Matthew Anderson, Zongliang Ji, and Anthony Yang Xu
    In International Conference on Theory and Applications of Satisfiability Testing , 2020
    PDF Code

2019

  1. IEEE RoboSoft
    Low-cost wireless modular soft tensegrity robots
    Jonathan Kimber*, Zongliang Ji*, Aikaterini Petridou, and 5 more authors
    In 2019 2nd IEEE International Conference on Soft Robotics (RoboSoft) , 2019
    PDF