Li Sun

25 papers A* 3A 1Misc 1Journal 15Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Cautionary Tale of Self-Supervised Learning for Imaging Biomarkers: Alzheimer's Disease Case Study.
CoRR
Maxwell Reynolds, Chaitanya Srinivasan, Vijay Cherupally, Michael Leone, Ke Yu, Li Sun, Tigmanshu Chaudhary, Andreas Pfenning, Kayhan Batmanghelich
2025 J jnl
Enhancing Biomedical Multi-modal Representation Learning with Multi-scale Pre-training and Perturbed Report Discrimination.
CoRR
Xinliu Zhong, Kayhan Batmanghelich, Li Sun
2025 J jnl
Enhancing intent understanding for ambiguous prompt: A human-machine co-adaption strategy.
Neurocomputing
Yijin Wang, Yangfan He, Jianhui Wang, Kun Li, Li Sun, Jun Yin, Miao Zhang, Xueqian Wang
2025 A conf
Multi-Modal Large Language Models are Effective Vision Learners.
WACV
Li Sun, Chaitanya Ahuja, Peng Chen, Matt D'Zmura, Kayhan Batmanghelich, Philip Bontrager
2025 J jnl
SCORE: Story Coherence and Retrieval Enhancement for AI Narratives.
CoRR
Qiang Yi, Yangfan He, Jianhui Wang, Xinyuan Song, Shiyao Qian, Miao Zhang, Li Sun, Tianyu Shi
2024 J jnl
DrasCLR: A self-supervised framework of learning disease-related and anatomy-specific representation for 3D lung CT images.
Medical Image Anal.
Ke Yu, Li Sun, Junxiang Chen, Maxwell Reynolds, Tigmanshu Chaudhary, Kayhan Batmanghelich
2024 — conf
Enhancing Biomedical Multi-modal Representation Learning with Multi-scale Pre-training and Perturbed Report Discrimination.
CAI
Xinliu Zhong, Kayhan Batmanghelich, Li Sun
2024 Misc conf
Less Peaky and More Accurate CTC Forced Alignment by Label Priors.
ICASSP
Ruizhe Huang, Xiaohui Zhang, Zhaoheng Ni, Li Sun, Moto Hira, Jeff Hwang, Vimal Manohar, Vineel Pratap, Matthew Wiesner, Shinji Watanabe, Daniel Povey, Sanjeev Khudanpur
2024 J jnl
Less Peaky and More Accurate CTC Forced Alignment by Label Priors.
CoRR
Ruizhe Huang, Xiaohui Zhang, Zhaoheng Ni, Li Sun, Moto Hira, Jeff Hwang, Vimal Manohar, Vineel Pratap, Matthew Wiesner, Shinji Watanabe, Daniel Povey, Sanjeev Khudanpur
2024 J jnl
MedSyn: Text-Guided Anatomy-Aware Synthesis of High-Fidelity 3-D CT Images.
IEEE Trans. Medical Imaging
Yanwu Xu, Li Sun, Wei Peng, Shuyue Jia, Katelyn Morrison, Adam Perer, Afrooz Zandifar, Shyam Visweswaran, Motahhare Eslami, Kayhan Batmanghelich
2023 J jnl
DrasCLR: A Self-supervised Framework of Learning Disease-related and Anatomy-specific Representation for 3D Medical Images.
CoRR
Ke Yu, Li Sun, Junxiang Chen, Maxwell Reynolds, Tigmanshu Chaudhary, Kayhan Batmanghelich
2023 — conf
From Characters to Words: Hierarchical Pre-trained Language Model for Open-vocabulary Language Understanding.
ACL (1)
Li Sun, Florian Luisier, Kayhan Batmanghelich, Dinei A. F. Florêncio, Cha Zhang
2023 J jnl
From Characters to Words: Hierarchical Pre-trained Language Model for Open-vocabulary Language Understanding.
CoRR
Li Sun, Florian Luisier, Kayhan Batmanghelich, Dinei A. F. Florêncio, Cha Zhang
2023 J jnl
MedSyn: Text-guided Anatomy-aware Synthesis of High-Fidelity 3D CT Images.
CoRR
Yanwu Xu, Li Sun, Wei Peng, Shyam Visweswaran, Kayhan Batmanghelich
2022 J jnl
Context-aware Self-supervised Learning for Medical Images Using Graph Neural Network.
CoRR
Li Sun, Ke Yu, Kayhan Batmanghelich
2022 J jnl
Hierarchical Amortized GAN for 3D High Resolution Medical Image Synthesis.
IEEE J. Biomed. Health Informatics
Li Sun, Junxiang Chen, Yanwu Xu, Mingming Gong, Ke Yu, Kayhan Batmanghelich
2022 A* conf
Knowledge Distillation via Constrained Variational Inference.
AAAI
Ardavan Saeedi, Yuria Utsumi, Li Sun, Kayhan Batmanghelich, Li-Wei H. Lehman
2021 A* conf
Can contrastive learning avoid shortcut solutions?
NeurIPS
Joshua Robinson, Li Sun, Ke Yu, Kayhan Batmanghelich, Stefanie Jegelka, Suvrit Sra
2021 J jnl
Can contrastive learning avoid shortcut solutions?
CoRR
Joshua Robinson, Li Sun, Ke Yu, Kayhan Batmanghelich, Stefanie Jegelka, Suvrit Sra
2021 A* conf
Context Matters: Graph-based Self-supervised Representation Learning for Medical Images.
AAAI
Li Sun, Ke Yu, Kayhan Batmanghelich
2021 — conf
Extracting Disease-Relevant Features with Adversarial Regularization.
BIBM
Junxiang Chen, Li Sun, Ke Yu, Kayhan Batmanghelich
2020 J jnl
Context Matters: Graph-based Self-supervised Representation Learning for Medical Images.
CoRR
Li Sun, Ke Yu, Kayhan Batmanghelich
2020 J jnl
Hierarchical Amortized Training for Memory-efficient High Resolution 3D GAN.
CoRR
Li Sun, Junxiang Chen, Yanwu Xu, Mingming Gong, Ke Yu, Kayhan Batmanghelich
2018 — conf
Structure-Aware Staging for Breast Cancer Metastases.
RAMBO+BIA+TIA@MICCAI
Songtao Zhang, Li Sun, Ruiqiao Wang, Hongping Tang, Jin Zhang, Lin Luo
2018 — conf
Tumor Segmentation and Survival Prediction in Glioma with Deep Learning.
BrainLes@MICCAI (2)
Li Sun, Songtao Zhang, Lin Luo