# Talks

…which are select and recent

#### Three Pillars of Health Data Science: Transfer Learning, Federated Learning, and Imbalanced Learning

- Annual BICB (Bioinformatics and Computational Biology) Research Symposium at UMN, Rochester [Slides] (Jan 12, 2023)
- UMN IHI Annual Retreat [Slides] (Dec 08, 2022)

#### Toward practical phase retrieval with deep learning

- Computational Imaging XXI at the Electronic Imaging Symposium 2023 [Slides] (San Francisco, Jan 15–19, 2023)
- IPAM workshop on Diffractive Imaging with Phase Retrieval at UCLA [Slides] [Video] (Oct 10–14, 2022)

#### Deep image prior (and its cousin) for inverse problems: the untold stories

- Rice Imaging and Vision Seminar Series [Slides] (Nov 18, 2022)
- RPI seminar on Mathematics in imaging science, data science and optimization [Slides] [Video] (Sep 21, 2022)

#### Deep learning with constraints and nonsmoothness

- ICCOPT’22 session on Nonsmooth Optimization in Machine Learning [Slides] (Jul 27, 2022)

#### Deep learning for robust recognition, inverse problems, and healthcare

- Wilson Lecture Series (UMN ECE Colloquium) [Slides] (Sep 09, 2021)

#### What’s scary about deep learning?

- Guest lecture at UMN CSCI8002: Introduction to Research in Computer Science [Slides] (Mar 19, 2021)

#### Toward practical phase retrieval: To learn or not, and how to learn?

- The 5th International Conference on Statistical Optimization and Learning [Slides] (Dec 26–30, 2020)
- “运筹千里”纵横论坛 organized by Operation Research Society of China [Slides] (Sep 27, 2020)

#### Rapid and Robust COVID-19 Identification from Chest X-rays

#### Does deep learning solve the phase retrieval problem?

- SIAM Conference on Imaging Science, 2020 [Slides] (Jul 17, 2020)

#### Taming nonconvexity: from smooth to nonsmooth problems

- SINE Seminar Coordinated Science Laboratory, UIUC [Slides] (Nov 05, 2018)

#### When nonconvexity meets nonsmoothness

- 56th Annual Allerton Conference [Slides] (Oct 04, 2018)