Publications

Reports

  • Phase Retrieval: the Role of Overparametrization and New Methods.  Zhong Zhuang, Yash Travadi, Zhihui Zhu, Ju Sun. In preparation for SIAM Journal on Mathematics of Data Science (SIMODS), 2021.
  • NCVX: A User-Friendly and Scalable Package for Nonconvex Optimization in Machine Learning. [arXiv] Buyun Liang, Ju Sun. Submitted to Journal of Machine Learning Research (JMLR), Nov 2021.
  • A Prospective Observational Study to Investigate Performance of a Chest X-ray Artificial Intelligence Diagnostic Support Tool Across 12 U.S. Hospitals. [medRxiv] [arXiv] Ju Sun, Le Peng, Taihui Li, Dyah Adila, Zach Zaiman, Genevieve B. Melton, Nicholas Ingraham, Eric Murray, Daniel Boley, Sean Switzer, John L. Burns, Kun Huang, Tadashi Allen, Scott D. Steenburg, Judy Wawira Gichoya, Erich Kummerfeld, Christopher Tignanelli. Under review for Radiology: Artificial Intelligence, 2021.
  • Towards Practical Holographic Coherent Diffraction Imaging: Holographic Phase Retrieval via Maximum Likelihood Estimation. [arXiv] David A. Barmherzig, Ju Sun. May 2021.
  • Rethink Transfer Learning in Medical Image Classification. [arXiv] [Project website] Le Peng, Hengyue Liang, Taihui Li, Ju Sun. Submitted to AAAI Conference on Artificial Intelligence (AAAI), 2021.
  • Inverse Problems, Deep Learning, and Symmetry Breaking. [arXiv] Kshitij Tayal, Chieh-Hsin Lai, Vipin Kumar, Ju Sun. Mar 2020.

Journals

  • Potential and Limitations of Radiomics in Neuro-oncology. [Paper] Birra Taha, Daniel Boley, Ju Sun, Clark C. Chen. Journal of Clinical Neuroscience, 90:206–211, 2021.
  • State of Radiomics in Glioblastoma. [Paper] Birra Taha, Daniel Boley, Ju Sun, Clark C. Chen. Neurosurgery, 89(2):177–184, 2021.
  • Detection of Isocitrate Dehydrogenase Mutated Glioblastomas through Anomaly Detection Analytics. [Paper] Birra Taha, Taihui Li, Daniel Boley, Clark C. Chen, Ju Sun. Neurosurgery, 89(2):323–328, 2021.
  • Dictionary Learning in Fourier Transform Scanning Tunneling Spectroscopy. [arXiv] [Paper] Sky Cheung, John Shin, Yenson Lau, Zhengyu Chen, Ju Sun, Yuqian Zhang, John Wright, and Abhay Pasupathy. Nature Communications, 11, 1081, 2020.

Conferences and Workshops

  • Self-Validation: Early Stopping for Single-Instance Deep Generative Priors. [arXiv] [Project website] Taihui Li, Zhong Zhuang, Hengyue Liang, Le Peng, Hengkang Wang, Ju Sun. British Machine Vision Conference (BMVC), 2021.
  • Phase Retrieval using Single-Instance Deep Generative Prior. [arXiv] Kshitij Tayal, Raunak Manekar, Zhong Zhuang, David Yang, Vipin Kumar, Felix Hofmann, Ju Sun. OSA Imaging and Applied Optics Congress, 2021.
  • Unlocking Inverse Problems Using Deep Learning: Breaking Symmetries in Phase Retrieval. [paper] [poster] Kshitij Tayal, Chieh-Hsin Lai, Raunak Manekar, Zhong Zhuang, Vipin Kumar, Ju Sun. NeurIPS 2020 Workshop on Deep Learning and Inverse Problems, 2020.
  • Deep Learning Initialized Phase Retrieval. [paper] [poster] Raunak Manekar, Zhong Zhuang, Kshitij Tayal, Vipin Kumar, Ju Sun. NeurIPS 2020 Workshop on Deep Learning and Inverse Problems, 2020.
  • Rethink Autoencoders: Robust Manifold Learning. [paper] Taihui Li, Rishabh Mehta, Zecheng Qian, Ju Sun. ICML workshop on Uncertainty and Robustness in Deep Learning, 2020.
  • Phase Retrieval via Second-Order Nonsmooth Optimization. [paper] Zhong Zhuang, Gang Wang, Yash Travadi, Ju Sun. ICML workshop on Beyond First Order Methods in Machine Learning, 2020.
  • End-to-End Learning for Phase Retrieval. [paper] Raunak Manekar, Kshitij Tayal, Vipin Kumar, Ju Sun. ICML workshop on ML Interpretability for Scientific Discovery, 2020.
  • Inverse Problems, Deep Learning, and Symmetry Breaking. [paper] Kshitij Tayal, Chieh-Hsin Lai, Raunak Manekar, Vipin Kumar, Ju Sun. ICML workshop on ML Interpretability for Scientific Discovery, 2020.
  • Low-Photon Holographic Phase Retrieval. [paper] David A. Barmherzig, Ju Sun. OSA Imaging and Applied Optics Congress 2020.