Guangyao Zheng

15 papers Journal 11Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	DTS: Enhancing Large Reasoning Models via Decoding Tree Sketching. CoRR Zicheng Xu, Guanchu Wang, Yu-Neng Chuang, Guangyao Zheng, Alexander S. Szalay, Zirui Liu, Vladimir Braverman
2025	J	`jnl`	Optimizing beat-wise input for arrhythmia detection using 1-D convolutional neural networks: A real-world ECG study. Comput. Methods Programs Biomed. Sunghan Lee, Guangyao Zheng, Jeonghwan Koh, Haoran Li, Zicheng Xu, Sung Pil Cho, Sung Il Im, Vladimir Braverman, In Cheol Jeong
2025	—	`conf`	Self-Ensemble: Mitigating Confidence Distortion for Large Language Models. EMNLP (Findings) Zicheng Xu, Guanchu Wang, Guangyao Zheng, Yu-Neng Chuang, Alex Szalay, Xia Hu, Vladimir Braverman
2025	J	`jnl`	Self-ensemble: Mitigating Confidence Distortion for Large Language Models. CoRR Zicheng Xu, Guanchu Wang, Guangyao Zheng, Yu-Neng Chuang, Alexander S. Szalay, Xia Ben Hu, Vladimir Braverman
2025	J	`jnl`	Towards Fair Medical AI: Adversarial Debiasing of 3D CT Foundation Embeddings. CoRR Guangyao Zheng, Michael A. Jacobs, Vladimir Braverman, Vishwa S. Parekh
2024	J	`jnl`	A collective AI via lifelong learning and sharing at the edge. Nat. Mac. Intell. 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, Steven Lee, Xinran Liu, Sildomar T. Monteiro, David Musliner, Saptarshi Nath, Priyadarshini Panda, Christos Peridis, Hamed Pirsiavash, Vishwa S. Parekh, Kaushik Roy, Shahaf S. Shperberg, Hava T. Siegelmann, Peter Stone, Kyle Vedder, Jingfeng Wu, Lin Yang, Guangyao Zheng, Soheil Kolouri
2024	J	`jnl`	Demographic Predictability in 3D CT Foundation Embeddings. CoRR Guangyao Zheng, Michael A. Jacobs, Vishwa S. Parekh
2024	—	`conf`	Exploring the Possibility of Arrhythmia Interpretation of Time Domain ECG Using XAI: A Preliminary Study. AIME (2) Sunghan Lee, Jeonghwan Koh, Guangyao Zheng, Vladimir Braverman, In Cheol Jeong
2024	J	`jnl`	FE-SKViT: A Feature-Enhanced ViT Model with Skip Attention for Automatic Modulation Recognition. Remote. Sens. Guangyao Zheng, Bo Zang, Penghui Yang, Wenbo Zhang, Bin Li
2024	—	`conf`	Towards a Collective Medical Imaging AI: Enabling Continual Learning from Peers. MIDL Guangyao Zheng, Vladimir Braverman, Jeffrey Leal, Steven Rowe, Doris G. Leung, Michael A. Jacobs, Vishwa Sanjay Parekh
2023	J	`jnl`	A framework for dynamically training and adapting deep reinforcement learning models to different, low-compute, and continuously changing radiology deployment environments. CoRR Guangyao Zheng, Shuhao Lai, Vladimir Braverman, Michael A. Jacobs, Vishwa S. Parekh
2023	J	`jnl`	Asynchronous Decentralized Federated Lifelong Learning for Landmark Localization in Medical Imaging. CoRR Guangyao Zheng, Michael A. Jacobs, Vladimir Braverman, Vishwa S. Parekh
2023	J	`jnl`	Multi-environment lifelong deep reinforcement learning for medical imaging. CoRR Guangyao Zheng, Shuhao Lai, Vladimir Braverman, Michael A. Jacobs, Vishwa S. Parekh
2023	—	`conf`	Selective experience replay compression using coresets for lifelong deep reinforcement learning in medical imaging. MIDL Guangyao Zheng, Samson Zhou, Vladimir Braverman, Michael A. Jacobs, Vishwa Sanjay Parekh
2023	J	`jnl`	Selective experience replay compression using coresets for lifelong deep reinforcement learning in medical imaging. CoRR Guangyao Zheng, Samson Zhou, Vladimir Braverman, Michael A. Jacobs, Vishwa S. Parekh