Li Sun

According to our database, Li Sun authored at least 18 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Enhancing Biomedical Multi-modal Representation Learning with Multi-scale Pre-training and Perturbed Report Discrimination.

Xinliu Zhong, Kayhan Batmanghelich, Li Sun

CoRR, June, 2025

Enhancing intent understanding for ambiguous prompt: A human-machine co-adaption strategy.

Yijin Wang, Yangfan He, Jianhui Wang, Kun Li, Li Sun, Jun Yin, Miao Zhang, Xueqian Wang

Neurocomputing, 2025

Multi-Modal Large Language Models are Effective Vision Learners.

Li Sun, Chaitanya Ahuja, Peng Chen, Matt D'Zmura, Kayhan Batmanghelich, Philip Bontrager

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

2024

MedSyn: Text-Guided Anatomy-Aware Synthesis of High-Fidelity 3-D CT Images.

Yanwu Xu, Li Sun, Wei Peng, Shuyue Jia, Katelyn Morrison, Adam Perer, Afrooz Zandifar, Shyam Visweswaran, Motahhare Eslami, Kayhan Batmanghelich

IEEE Trans. Medical Imaging, October, 2024

DrasCLR: A self-supervised framework of learning disease-related and anatomy-specific representation for 3D lung CT images.

Ke Yu, Li Sun, Junxiang Chen, Maxwell Reynolds, Tigmanshu Chaudhary, Kayhan Batmanghelich

Medical Image Anal., February, 2024

Less Peaky and More Accurate CTC Forced Alignment by Label Priors.

Ruizhe Huang, Xiaohui Zhang, Zhaoheng Ni, Li Sun, Moto Hira, Jeff Hwang, Vimal Manohar, Vineel Pratap, Matthew Wiesner, Shinji Watanabe, Daniel Povey, Sanjeev Khudanpur

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

MedSyn: Text-guided Anatomy-aware Synthesis of High-Fidelity 3D CT Images.

Yanwu Xu, Li Sun, Wei Peng, Shyam Visweswaran, Kayhan Batmanghelich

CoRR, 2023

DrasCLR: A Self-supervised Framework of Learning Disease-related and Anatomy-specific Representation for 3D Medical Images.

Ke Yu, Li Sun, Junxiang Chen, Maxwell Reynolds, Tigmanshu Chaudhary, Kayhan Batmanghelich

CoRR, 2023

From Characters to Words: Hierarchical Pre-trained Language Model for Open-vocabulary Language Understanding.

Li Sun, Florian Luisier, Kayhan Batmanghelich, Dinei A. F. Florêncio, Cha Zhang

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Hierarchical Amortized GAN for 3D High Resolution Medical Image Synthesis.

Li Sun, Junxiang Chen, Yanwu Xu, Mingming Gong, Ke Yu, Kayhan Batmanghelich

IEEE J. Biomed. Health Informatics, 2022

Context-aware Self-supervised Learning for Medical Images Using Graph Neural Network.

Li Sun, Ke Yu, Kayhan Batmanghelich

CoRR, 2022

Knowledge Distillation via Constrained Variational Inference.

Ardavan Saeedi, Yuria Utsumi, Li Sun, Kayhan Batmanghelich, Li-Wei H. Lehman

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Can contrastive learning avoid shortcut solutions?

Joshua Robinson, Li Sun, Ke Yu, Kayhan Batmanghelich, Stefanie Jegelka, Suvrit Sra

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Extracting Disease-Relevant Features with Adversarial Regularization.

Junxiang Chen, Li Sun, Ke Yu, Kayhan Batmanghelich

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

Context Matters: Graph-based Self-supervised Representation Learning for Medical Images.

Li Sun, Ke Yu, Kayhan Batmanghelich

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Hierarchical Amortized Training for Memory-efficient High Resolution 3D GAN.

Li Sun, Junxiang Chen, Yanwu Xu, Mingming Gong, Ke Yu, Kayhan Batmanghelich

CoRR, 2020

2018

Structure-Aware Staging for Breast Cancer Metastases.

Songtao Zhang, Li Sun, Ruiqiao Wang, Hongping Tang, Jin Zhang, Lin Luo

Proceedings of the Image Analysis for Moving Organ, Breast, and Thoracic Images, 2018

Tumor Segmentation and Survival Prediction in Glioma with Deep Learning.

Li Sun, Songtao Zhang, Lin Luo

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018