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ORCIDLi Sun 0010
Person information
- affiliation: Amazon Web Services, Seattle, WA, USA
- affiliation (PhD 2024): Boston University, Department of Electrical and Computer Engineering, Boston, MA, USA
Other persons with the same name
- Li Sun — disambiguation page
- Li Sun 0001
![[0000-0002-9471-0235]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-9471-0235")
— Xi'an Jiaotong University, Department of Information and Communications Engineering, China - Li Sun 0002 — Southeast University, MoE Key Lab of Energy Thermal Conversion and Control, Nanjing, China (and 1 more)
- Li Sun 0003 — State University of New York at Buffalo, Department of Computer Science and Engineering, NY, USA
- Li Sun 0004 — Beijing Technology and Business University, School of Computer and Information Engineering, China
- Li Sun 0005 — University of Sheffield, Sheffield Robotics, UK (and 3 more)
- Li Sun 0006 — Shanghai Maritime University, Information Engineering College, China (and 1 more)
- Li Sun 0007 — Beihang University, Beijing, China
- Li Sun 0008 — North China Electric Power University, Beijing, China (and 1 more)
- Li Sun 0009 — National University of Defense Technology, College of Electronic Science and Technology, Changsha, China
2020 – today
- 2024
[j3]Ke Yu, Li Sun, Junxiang Chen, Maxwell Reynolds, Tigmanshu Chaudhary, Kayhan Batmanghelich:
DrasCLR: A self-supervised framework of learning disease-related and anatomy-specific representation for 3D lung CT images. Medical Image Anal. 92: 103062 (2024)- [j2]Yanwu Xu, Li Sun, Wei Peng, Shuyue Jia, Katelyn Morrison, Adam Perer, Afrooz Zandifar, Shyam Visweswaran, Motahhare Eslami, Kayhan Batmanghelich:
MedSyn: Text-Guided Anatomy-Aware Synthesis of High-Fidelity 3-D CT Images. IEEE Trans. Medical Imaging 43(10): 3648-3660 (2024) - [c8]Ruizhe Huang, Xiaohui Zhang, Zhaoheng Ni, Li Sun, Moto Hira, Jeff Hwang, Vimal Manohar, Vineel Pratap, Matthew Wiesner, Shinji Watanabe, Daniel Povey, Sanjeev Khudanpur:
Less Peaky and More Accurate CTC Forced Alignment by Label Priors. ICASSP 2024: 11831-11835 - [i8]Ruizhe Huang, Xiaohui Zhang, Zhaoheng Ni, Li Sun, Moto Hira, Jeff Hwang, Vimal Manohar, Vineel Pratap, Matthew Wiesner, Shinji Watanabe, Daniel Povey, Sanjeev Khudanpur:
Less Peaky and More Accurate CTC Forced Alignment by Label Priors. CoRR abs/2406.02560 (2024) - 2023
- [c7]Li Sun, Florian Luisier, Kayhan Batmanghelich, Dinei A. F. Florêncio, Cha Zhang:
From Characters to Words: Hierarchical Pre-trained Language Model for Open-vocabulary Language Understanding. ACL (1) 2023: 3605-3620 - [i7]Ke Yu, Li Sun, Junxiang Chen, Maxwell Reynolds, Tigmanshu Chaudhary, Kayhan Batmanghelich:
DrasCLR: A Self-supervised Framework of Learning Disease-related and Anatomy-specific Representation for 3D Medical Images. CoRR abs/2302.10390 (2023) - [i6]Li Sun, Florian Luisier, Kayhan Batmanghelich, Dinei A. F. Florêncio, Cha Zhang:
From Characters to Words: Hierarchical Pre-trained Language Model for Open-vocabulary Language Understanding. CoRR abs/2305.14571 (2023) - [i5]Yanwu Xu, Li Sun, Wei Peng, Shyam Visweswaran, Kayhan Batmanghelich:
MedSyn: Text-guided Anatomy-aware Synthesis of High-Fidelity 3D CT Images. CoRR abs/2310.03559 (2023) - 2022
- [j1]Li Sun, Junxiang Chen, Yanwu Xu, Mingming Gong, Ke Yu, Kayhan Batmanghelich:
Hierarchical Amortized GAN for 3D High Resolution Medical Image Synthesis. IEEE J. Biomed. Health Informatics 26(8): 3966-3975 (2022) - [c6]Ardavan Saeedi, Yuria Utsumi, Li Sun, Kayhan Batmanghelich, Li-Wei H. Lehman:
Knowledge Distillation via Constrained Variational Inference. AAAI 2022: 8132-8140 - [i4]Li Sun, Ke Yu, Kayhan Batmanghelich:
Context-aware Self-supervised Learning for Medical Images Using Graph Neural Network. CoRR abs/2207.02957 (2022) - 2021
- [c5]Li Sun, Ke Yu, Kayhan Batmanghelich:
Context Matters: Graph-based Self-supervised Representation Learning for Medical Images. AAAI 2021: 4874-4882 - [c4]Junxiang Chen, Li Sun, Ke Yu, Kayhan Batmanghelich:
Extracting Disease-Relevant Features with Adversarial Regularization. BIBM 2021: 3464-3471 - [c3]Joshua Robinson, Li Sun, Ke Yu, Kayhan Batmanghelich, Stefanie Jegelka, Suvrit Sra:
Can contrastive learning avoid shortcut solutions? NeurIPS 2021: 4974-4986 - [i3]Joshua Robinson, Li Sun, Ke Yu, Kayhan Batmanghelich, Stefanie Jegelka, Suvrit Sra:
Can contrastive learning avoid shortcut solutions? CoRR abs/2106.11230 (2021) - 2020
- [i2]Li Sun, Junxiang Chen, Yanwu Xu, Mingming Gong, Ke Yu, Kayhan Batmanghelich:
Hierarchical Amortized Training for Memory-efficient High Resolution 3D GAN. CoRR abs/2008.01910 (2020) - [i1]Li Sun, Ke Yu, Kayhan Batmanghelich:
Context Matters: Graph-based Self-supervised Representation Learning for Medical Images. CoRR abs/2012.06457 (2020)
2010 – 2019
- 2018
- [c2]Li Sun, Songtao Zhang, Lin Luo:
Tumor Segmentation and Survival Prediction in Glioma with Deep Learning. BrainLes@MICCAI (2) 2018: 83-93 - [c1]Songtao Zhang, Li Sun, Ruiqiao Wang, Hongping Tang, Jin Zhang, Lin Luo:
Structure-Aware Staging for Breast Cancer Metastases. RAMBO+BIA+TIA@MICCAI 2018: 116-123
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