He Sun

36 papers A* 5B 1Misc 2Journal 27Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Blind Inversion Using Latent Diffusion Priors.
IEEE Trans. Image Process.
Weimin Bai, Siyi Chen, Wenzheng Chen, He Sun
2026 J jnl
RefracGS: Novel View Synthesis Through Refractive Water Surfaces with 3D Gaussian Ray Tracing.
CoRR
Yiming Shao, Qiyu Dai, Chong Gao, Guanbin Li, Yeqiang Wang, He Sun, Qiong Zeng, Baoquan Chen, Wenzheng Chen
2025 J jnl
Comprehensive Manuscript Assessment with Text Summarization Using 69707 articles.
CoRR
Qichen Sun, Yuxing Lu, Kun Xia, Li Chen, He Sun, Jinzhuo Wang
2025 J jnl
Dive3D: Diverse Distillation-based Text-to-3D Generation via Score Implicit Matching.
CoRR
Weimin Bai, Yubo Li, Wenzheng Chen, Weijian Luo, He Sun
2025 J jnl
Dive3D: Diverse Distillation-based Text-to-3D Generation via Score Implicit Matching.
Trans. Mach. Learn. Res.
Weimin Bai, Yubo Li, Wenzheng Chen, Weijian Luo, He Sun
2025 J jnl
FlowDAS: A Flow-Based Framework for Data Assimilation.
CoRR
Siyi Chen, Yixuan Jia, Qing Qu, He Sun, Jeffrey A. Fessler
2025 J jnl
In vivo 3D ultrasound computed tomography of musculoskeletal tissues with generative neural physics.
CoRR
Zhijun Zeng, Youjia Zheng, Chang Su, Qianhang Wu, Hao Hu, Zeyuan Dong, Shan Gao, Yang Lv, Rui Tang, Ligang Cui, Zhiyong Hou, Weijun Lin, Zuoqiang Shi, Yubing Li, He Sun
2025 J jnl
InstantViR: Real-Time Video Inverse Problem Solver with Distilled Diffusion Prior.
CoRR
Weimin Bai, Suzhe Xu, Yiwei Ren, Jinhua Hao, Ming Sun, Wenzheng Chen, He Sun
2025 Misc conf
Learning Diffusion Model from Noisy Measurement using Principled Expectation-Maximization Method.
ICASSP
Weimin Bai, Weiheng Tang, Enze Ye, Siyi Chen, Wenzheng Chen, He Sun
2025 J jnl
Let Language Constrain Geometry: Vision-Language Models as Semantic and Spatial Critics for 3D Generation.
CoRR
Weimin Bai, Yubo Li, Weijian Luo, Zeqiang Lai, Yequan Wang, Wenzheng Chen, He Sun
2025 J jnl
OpenBreastUS: Benchmarking Neural Operators for Wave Imaging Using Breast Ultrasound Computed Tomography.
CoRR
Zhijun Zeng, Youjia Zheng, Hao Hu, Zeyuan Dong, Yihang Zheng, Xinliang Liu, Jinzhuo Wang, Zuoqiang Shi, Linfeng Zhang, Yubing Li, He Sun
2025 A* conf
Robust Single-shot Structured Light 3D Imaging via Neural Feature Decoding.
SIGGRAPH Asia
Jiaheng Li, Qiyu Dai, Lihan Li, Praneeth Chakravarthula, He Sun, Baoquan Chen, Wenzheng Chen
2025 J jnl
Uni-Instruct: One-step Diffusion Model through Unified Diffusion Divergence Instruction.
CoRR
Yifei Wang, Weimin Bai, Colin Zhang, Debing Zhang, Weijian Luo, He Sun
2025 J jnl
Vision-Language Models as Differentiable Semantic and Spatial Rewards for Text-to-3D Generation.
CoRR
Weimin Bai, Yubo Li, Weijian Luo, Wenzheng Chen, He Sun
2024 A* conf
An Expectation-Maximization Algorithm for Training Clean Diffusion Models from Corrupted Observations.
NeurIPS
Weimin Bai, Yifei Wang, Wenzheng Chen, He Sun
2024 J jnl
An Expectation-Maximization Algorithm for Training Clean Diffusion Models from Corrupted Observations.
CoRR
Weimin Bai, Yifei Wang, Wenzheng Chen, He Sun
2024 J jnl
Blind Inversion using Latent Diffusion Priors.
CoRR
Weimin Bai, Siyi Chen, Wenzheng Chen, He Sun
2024 J jnl
Integrating Amortized Inference with Diffusion Models for Learning Clean Distribution from Corrupted Images.
CoRR
Yifei Wang, Weimin Bai, Weijian Luo, Wenzheng Chen, He Sun
2024 J jnl
Learning Diffusion Model from Noisy Measurement using Principled Expectation-Maximization Method.
CoRR
Weimin Bai, Weiheng Tang, Enze Ye, Siyi Chen, Wenzheng Chen, He Sun
2024 J jnl
Reconstructing Satellites in 3D from Amateur Telescope Images.
CoRR
Zhiming Chang, Boyang Liu, Yifei Xia, Youming Guo, Boxin Shi, He Sun
2023 J jnl
Discovering Structure From Corruption for Unsupervised Image Reconstruction.
IEEE Trans. Computational Imaging
Oscar Leong, Angela F. Gao, He Sun, Katherine L. Bouman
2023 J jnl
Ill-Posed Image Reconstruction Without an Image Prior.
CoRR
Oscar Leong, Angela F. Gao, He Sun, Katherine L. Bouman
2023 Misc conf
Image Reconstruction without Explicit Priors.
ICASSP
Angela F. Gao, Oscar Leong, He Sun, Katherine L. Bouman
2023 J jnl
Image Reconstruction without Explicit Priors.
CoRR
Angela F. Gao, Oscar Leong, He Sun, Katherine L. Bouman
2023 J jnl
MoEC: Mixture of Experts Implicit Neural Compression.
CoRR
Jianchen Zhao, Cheng-Ching Tseng, Ming Lu, Ruichuan An, Xiaobao Wei, He Sun, Shanghang Zhang
2023 J jnl
Neural Born Series Operator for Biomedical Ultrasound Computed Tomography.
CoRR
Zhijun Zeng, Yihang Zheng, Youjia Zheng, Yubing Li, Zuoqiang Shi, He Sun
2023 A* conf
Recovering a Molecule's 3D Dynamics from Liquid-phase Electron Microscopy Movies.
ICCV
Enze Ye, Yuhang Wang, Hong Zhang, Yiqin Gao, Huan Wang, He Sun
2023 J jnl
Recovering a Molecule's 3D Dynamics from Liquid-phase Electron Microscopy Movies.
CoRR
Enze Ye, Yuhang Wang, Hong Zhang, Yiqin Gao, Huan Wang, He Sun
2022 J jnl
alpha-Deep Probabilistic Inference (alpha-DPI): efficient uncertainty quantification from exoplanet astrometry to black hole feature extraction.
CoRR
He Sun, Katherine L. Bouman, Paul Tiede, Jason J. Wang, Sarah Blunt, Dimitri Mawet
2021 A* conf
Deep Probabilistic Imaging: Uncertainty Quantification and Multi-modal Solution Characterization for Computational Imaging.
AAAI
He Sun, Katherine L. Bouman
2021 J jnl
End-to-End Sequential Sampling and Reconstruction for MR Imaging.
CoRR
Tianwei Yin, Zihui Wu, He Sun, Adrian V. Dalca, Yisong Yue, Katherine L. Bouman
2021 — conf
End-to-End Sequential Sampling and Reconstruction for MRI.
ML4H@NeurIPS
Tianwei Yin, Zihui Wu, He Sun, Adrian V. Dalca, Yisong Yue, Katherine L. Bouman
2020 J jnl
Deep Probabilistic Imaging: Uncertainty Quantification and Multi-modal Solution Characterization for Computational Imaging.
CoRR
He Sun, Katherine L. Bouman
2020 B conf
Learning a Probabilistic Strategy for Computational Imaging Sensor Selection.
ICCP
He Sun, Adrian V. Dalca, Katherine L. Bouman
2020 J jnl
Learning a Probabilistic Strategy for Computational Imaging Sensor Selection.
CoRR
He Sun, Adrian V. Dalca, Katherine L. Bouman
2019 A* conf
Learning Heuristic Functions for Mobile Robot Path Planning Using Deep Neural Networks.
ICAPS
Takeshi Takahashi, He Sun, Dong Tian, Yebin Wang