He Sun

Orcid: 0000-0003-1526-6787

Affiliations:
  • Peking University, Beijing, China


According to our database1, He Sun authored at least 23 papers between 2019 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Online presence:

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Bibliography

2025
In vivo 3D ultrasound computed tomography of musculoskeletal tissues with generative neural physics.
CoRR, August, 2025

OpenBreastUS: Benchmarking Neural Operators for Wave Imaging Using Breast Ultrasound Computed Tomography.
CoRR, July, 2025

Dive3D: Diverse Distillation-based Text-to-3D Generation via Score Implicit Matching.
CoRR, June, 2025

Uni-Instruct: One-step Diffusion Model through Unified Diffusion Divergence Instruction.
CoRR, May, 2025

Comprehensive Manuscript Assessment with Text Summarization Using 69707 articles.
CoRR, March, 2025

FlowDAS: A Flow-Based Framework for Data Assimilation.
CoRR, January, 2025

Learning Diffusion Model from Noisy Measurement using Principled Expectation-Maximization Method.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024
Integrating Amortized Inference with Diffusion Models for Learning Clean Distribution from Corrupted Images.
CoRR, 2024

Blind Inversion using Latent Diffusion Priors.
CoRR, 2024

An Expectation-Maximization Algorithm for Training Clean Diffusion Models from Corrupted Observations.
CoRR, 2024

Reconstructing Satellites in 3D from Amateur Telescope Images.
CoRR, 2024

2023
Discovering Structure From Corruption for Unsupervised Image Reconstruction.
IEEE Trans. Computational Imaging, 2023

Neural Born Series Operator for Biomedical Ultrasound Computed Tomography.
CoRR, 2023

MoEC: Mixture of Experts Implicit Neural Compression.
CoRR, 2023

Ill-Posed Image Reconstruction Without an Image Prior.
CoRR, 2023

Recovering a Molecule's 3D Dynamics from Liquid-phase Electron Microscopy Movies.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Image Reconstruction without Explicit Priors.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
alpha-Deep Probabilistic Inference (alpha-DPI): efficient uncertainty quantification from exoplanet astrometry to black hole feature extraction.
CoRR, 2022

2021
End-to-End Sequential Sampling and Reconstruction for MR Imaging.
CoRR, 2021

End-to-End Sequential Sampling and Reconstruction for MRI.
Proceedings of the Machine Learning for Health, 2021

Deep Probabilistic Imaging: Uncertainty Quantification and Multi-modal Solution Characterization for Computational Imaging.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Learning a Probabilistic Strategy for Computational Imaging Sensor Selection.
Proceedings of the 2020 IEEE International Conference on Computational Photography, 2020

2019
Learning Heuristic Functions for Mobile Robot Path Planning Using Deep Neural Networks.
Proceedings of the Twenty-Ninth International Conference on Automated Planning and Scheduling, 2019


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