Learning Heuristic Functions for Mobile Robot Path Planning Using Deep Neural Networks. - Takeshi Takahashi; He Sun 010; Dong Tian; Yebin Wang (ICAPS, 2019)

Learning a Probabilistic Strategy for Computational Imaging Sensor Selection. - He Sun 010; Adrian V. Dalca; Katherine L. Bouman (ICCP, 2020)

Deep Probabilistic Imaging: Uncertainty Quantification and Multi-modal Solution Characterization for Computational Imaging. - He Sun 010; Katherine L. Bouman (AAAI, 2021)

End-to-End Sequential Sampling and Reconstruction for MRI. - Tianwei Yin; Zihui Wu; He Sun 010; Adrian V. Dalca; Yisong Yue; Katherine L. Bouman (ML4H@NeurIPS, 2021)

End-to-End Sequential Sampling and Reconstruction for MR Imaging. - Tianwei Yin; Zihui Wu; He Sun 010; Adrian V. Dalca; Yisong Yue; Katherine L. Bouman (CoRR, 2021)

alpha-Deep Probabilistic Inference (alpha-DPI): efficient uncertainty quantification from exoplanet astrometry to black hole feature extraction. - He Sun 010; Katherine L. Bouman; Paul Tiede; Jason J. Wang; Sarah Blunt; Dimitri Mawet (CoRR, 2022)

Image Reconstruction without Explicit Priors. - Angela F. Gao; Oscar Leong; He Sun 010; Katherine L. Bouman (ICASSP, 2023)

Recovering a Molecule's 3D Dynamics from Liquid-phase Electron Microscopy Movies. - Enze Ye; Yuhang Wang; Hong Zhang; Yiqin Gao; Huan Wang; He Sun 010 (ICCV, 2023)

Ill-Posed Image Reconstruction Without an Image Prior. - Oscar Leong; Angela F. Gao; He Sun 010; Katherine L. Bouman (CoRR, 2023)

MoEC: Mixture of Experts Implicit Neural Compression. - Jianchen Zhao; Cheng-Ching Tseng; Ming Lu; Ruichuan An; Xiaobao Wei; He Sun 010; Shanghang Zhang (CoRR, 2023)

Neural Born Series Operator for Biomedical Ultrasound Computed Tomography. - Zhijun Zeng; Yihang Zheng; Youjia Zheng; Yubing Li; Zuoqiang Shi; He Sun 010 (CoRR, 2023)

Discovering Structure From Corruption for Unsupervised Image Reconstruction. - Oscar Leong; Angela F. Gao; He Sun 010; Katherine L. Bouman (IEEE Trans. Computational Imaging, 2023)

Reconstructing Satellites in 3D from Amateur Telescope Images. - Zhiming Chang; Boyang Liu; Yifei Xia; Youming Guo; Boxin Shi; He Sun 010 (CoRR, 2024)

An Expectation-Maximization Algorithm for Training Clean Diffusion Models from Corrupted Observations. - Weimin Bai; Yifei Wang; Wenzheng Chen; He Sun 010 (CoRR, 2024)

Blind Inversion using Latent Diffusion Priors. - Weimin Bai; Siyi Chen; Wenzheng Chen; He Sun 010 (CoRR, 2024)

Integrating Amortized Inference with Diffusion Models for Learning Clean Distribution from Corrupted Images. - Yifei Wang; Weimin Bai; Weijian Luo; Wenzheng Chen; He Sun 010 (CoRR, 2024)

Learning Diffusion Model from Noisy Measurement using Principled Expectation-Maximization Method. - Weimin Bai; Weiheng Tang; Enze Ye; Siyi Chen; Wenzheng Chen; He Sun 010 (ICASSP, 2025)

FlowDAS: A Flow-Based Framework for Data Assimilation. - Siyi Chen; Yixuan Jia; Qing Qu 001; He Sun 010; Jeffrey A. Fessler (CoRR, 2025)

Comprehensive Manuscript Assessment with Text Summarization Using 69707 articles. - Qichen Sun; Yuxing Lu; Kun Xia; Li Chen; He Sun 010; Jinzhuo Wang (CoRR, 2025)

Uni-Instruct: One-step Diffusion Model through Unified Diffusion Divergence Instruction. - Yifei Wang; Weimin Bai; Colin Zhang; Debing Zhang; Weijian Luo; He Sun 010 (CoRR, 2025)

Dive3D: Diverse Distillation-based Text-to-3D Generation via Score Implicit Matching. - Weimin Bai; Yubo Li; Wenzheng Chen; Weijian Luo; He Sun 010 (CoRR, 2025)

OpenBreastUS: Benchmarking Neural Operators for Wave Imaging Using Breast Ultrasound Computed Tomography. - Zhijun Zeng; Youjia Zheng; Hao Hu; Zeyuan Dong; Yihang Zheng; Xinliang Liu; Jinzhuo Wang; Zuoqiang Shi; Linfeng Zhang; Yubing Li; He Sun 010 (CoRR, 2025)

In vivo 3D ultrasound computed tomography of musculoskeletal tissues with generative neural physics. - Zhijun Zeng; Youjia Zheng; Chang Su; Qianhang Wu; Hao Hu; Zeyuan Dong; Shan Gao; Yang Lv; Rui Tang; Ligang Cui; Zhiyong Hou; Weijun Lin; et al. (CoRR, 2025)