Selective experience replay compression using coresets for lifelong deep reinforcement learning in medical imaging. - Guangyao Zheng; Samson Zhou; Vladimir Braverman; Michael A. Jacobs; Vishwa Sanjay Parekh (MIDL, 2023)

Asynchronous Decentralized Federated Lifelong Learning for Landmark Localization in Medical Imaging. - Guangyao Zheng; Michael A. Jacobs; Vladimir Braverman; Vishwa S. Parekh (CoRR, 2023)

Multi-environment lifelong deep reinforcement learning for medical imaging. - Guangyao Zheng; Shuhao Lai; Vladimir Braverman; Michael A. Jacobs; Vishwa S. Parekh (CoRR, 2023)

A framework for dynamically training and adapting deep reinforcement learning models to different, low-compute, and continuously changing radiology deployment environments. - Guangyao Zheng; Shuhao Lai; Vladimir Braverman; Michael A. Jacobs; Vishwa S. Parekh (CoRR, 2023)

Exploring the Possibility of Arrhythmia Interpretation of Time Domain ECG Using XAI: A Preliminary Study. - Sunghan Lee; Jeonghwan Koh; Guangyao Zheng; Vladimir Braverman; In Cheol Jeong (AIME (2), 2024)

Towards a Collective Medical Imaging AI: Enabling Continual Learning from Peers. - Guangyao Zheng; Vladimir Braverman; Jeffrey Leal; Steven Rowe; Doris G. Leung; Michael A. Jacobs; Vishwa Sanjay Parekh (MIDL, 2024)

Demographic Predictability in 3D CT Foundation Embeddings. - Guangyao Zheng; Michael A. Jacobs; Vishwa S. Parekh (CoRR, 2024)

A collective AI via lifelong learning and sharing at the edge. - Andrea Soltoggio; Eseoghene Ben-Iwhiwhu; Vladimir Braverman; Eric Eaton; Benjamin Epstein; Yunhao Ge; Lucy Halperin; Jonathan P. How; Laurent Itti; Michael A. Jacobs; Pavan Kantharaju; Long Le; et al. (Nat. Mac. Intell., 2024)

FE-SKViT: A Feature-Enhanced ViT Model with Skip Attention for Automatic Modulation Recognition. - Guangyao Zheng; Bo Zang; Penghui Yang; Wenbo Zhang; Bin Li (Remote. Sens., 2024)

Optimizing beat-wise input for arrhythmia detection using 1-D convolutional neural networks: A real-world ECG study. - Sunghan Lee; Guangyao Zheng; Jeonghwan Koh; Haoran Li 006; Zicheng Xu; Sung Pil Cho; Sung Il Im; Vladimir Braverman; In Cheol Jeong (Comput. Methods Programs Biomed., 2025)

Towards Fair Medical AI: Adversarial Debiasing of 3D CT Foundation Embeddings. - Guangyao Zheng; Michael A. Jacobs; Vladimir Braverman; Vishwa S. Parekh (CoRR, 2025)

Self-ensemble: Mitigating Confidence Distortion for Large Language Models. - Zicheng Xu; Guanchu Wang; Guangyao Zheng; Yu-Neng Chuang; Alexander S. Szalay; Xia Ben Hu; Vladimir Braverman (CoRR, 2025)