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He Sun 0010
Person information
- affiliation: Peking University, Beijing, China
Other persons with the same name
- He Sun — disambiguation page
- He Sun 0001 — University of Edinburgh, UK (and 1 more)
- He Sun 0002 — Yunnan University, School of Information Science and Engineering
- He Sun 0003 — Shanghai Jiao Tong University, Department of Computer Science and Engineering
- He Sun 0004 — Northeastern University (China)
- He Sun 0005 — College of William & Mary, Williamsburg, VA, USA
- He Sun 0006 — Harbin University of Science & Technology, Harbin, China
- He Sun 0007 — Tsinghua University, Beijing, China
- He Sun 0008
— National University of Singapore, Department of Electrical Computer Engineering, Singapore (and 1 more)
- He Sun 0009
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2020 – today
- 2025
- [i16]Siyi Chen, Yixuan Jia, Qing Qu, He Sun
FlowDAS: A Flow-Based Framework for Data Assimilation. CoRR abs/2501.16642 (2025) - [i15]Qichen Sun, Yuxing Lu, Kun Xia, Li Chen, He Sun
Comprehensive Manuscript Assessment with Text Summarization Using 69707 articles. CoRR abs/2503.20835 (2025) - 2024
- [i14]Zhiming Chang, Boyang Liu, Yifei Xia, Youming Guo, Boxin Shi, He Sun
Reconstructing Satellites in 3D from Amateur Telescope Images. CoRR abs/2404.18394 (2024) - [i13]Weimin Bai, Yifei Wang, Wenzheng Chen, He Sun
An Expectation-Maximization Algorithm for Training Clean Diffusion Models from Corrupted Observations. CoRR abs/2407.01014 (2024) - [i12]Weimin Bai, Siyi Chen, Wenzheng Chen, He Sun
Blind Inversion using Latent Diffusion Priors. CoRR abs/2407.01027 (2024) - [i11]Yifei Wang, Weimin Bai, Weijian Luo, Wenzheng Chen, He Sun
Integrating Amortized Inference with Diffusion Models for Learning Clean Distribution from Corrupted Images. CoRR abs/2407.11162 (2024) - [i10]Weimin Bai, Weiheng Tang, Enze Ye, Siyi Chen, Wenzheng Chen, He Sun
Learning Diffusion Model from Noisy Measurement using Principled Expectation-Maximization Method. CoRR abs/2410.11241 (2024) - 2023
- [j1]Oscar Leong
Discovering Structure From Corruption for Unsupervised Image Reconstruction. IEEE Trans. Computational Imaging 9: 992-1005 (2023) - [c6]Angela F. Gao, Oscar Leong, He Sun
Image Reconstruction without Explicit Priors. ICASSP 2023: 1-5 - [c5]Enze Ye, Yuhang Wang, Hong Zhang, Yiqin Gao, Huan Wang, He Sun
Recovering a Molecule's 3D Dynamics from Liquid-phase Electron Microscopy Movies. ICCV 2023: 10733-10743 - [i9]Angela F. Gao, Oscar Leong, He Sun
Image Reconstruction without Explicit Priors. CoRR abs/2303.12217 (2023) - [i8]Oscar Leong, Angela F. Gao, He Sun
Ill-Posed Image Reconstruction Without an Image Prior. CoRR abs/2304.05589 (2023) - [i7]Enze Ye, Yuhang Wang, Hong Zhang, Yiqin Gao, Huan Wang, He Sun
Recovering a Molecule's 3D Dynamics from Liquid-phase Electron Microscopy Movies. CoRR abs/2308.11927 (2023) - [i6]Jianchen Zhao, Cheng-Ching Tseng, Ming Lu, Ruichuan An, Xiaobao Wei, He Sun
MoEC: Mixture of Experts Implicit Neural Compression. CoRR abs/2312.01361 (2023) - [i5]Zhijun Zeng, Yihang Zheng, Youjia Zheng, Yubing Li, Zuoqiang Shi, He Sun
Neural Born Series Operator for Biomedical Ultrasound Computed Tomography. CoRR abs/2312.15575 (2023) - 2022
- [i4]He Sun, Katherine L. Bouman, Paul Tiede, Jason J. Wang, Sarah Blunt
alpha-Deep Probabilistic Inference (alpha-DPI): efficient uncertainty quantification from exoplanet astrometry to black hole feature extraction. CoRR abs/2201.08506 (2022) - 2021
- [c4]He Sun
Deep Probabilistic Imaging: Uncertainty Quantification and Multi-modal Solution Characterization for Computational Imaging. AAAI 2021: 2628-2637 - [c3]Tianwei Yin, Zihui Wu, He Sun, Adrian V. Dalca, Yisong Yue, Katherine L. Bouman:
End-to-End Sequential Sampling and Reconstruction for MRI. ML4H@NeurIPS 2021: 261-281 - [i3]Tianwei Yin, Zihui Wu, He Sun, Adrian V. Dalca, Yisong Yue, Katherine L. Bouman:
End-to-End Sequential Sampling and Reconstruction for MR Imaging. CoRR abs/2105.06460 (2021) - 2020
- [c2]He Sun
Learning a Probabilistic Strategy for Computational Imaging Sensor Selection. ICCP 2020: 1-12 - [i2]He Sun, Adrian V. Dalca, Katherine L. Bouman:
Learning a Probabilistic Strategy for Computational Imaging Sensor Selection. CoRR abs/2003.10424 (2020) - [i1]He Sun, Katherine L. Bouman:
Deep Probabilistic Imaging: Uncertainty Quantification and Multi-modal Solution Characterization for Computational Imaging. CoRR abs/2010.14462 (2020)
2010 – 2019
- 2019
- [c1]Takeshi Takahashi, He Sun, Dong Tian, Yebin Wang:
Learning Heuristic Functions for Mobile Robot Path Planning Using Deep Neural Networks. ICAPS 2019: 764-772
Coauthor Index
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