[Sep 19, 2022] To be a Reviewer for the 26th International Conference on Artificial Intelligence and Statistics (AISTATS 2023).

[Jul 27, 2022] We (speaker: Prof. Ju Sun) introduced NCVX PyGRANSO and its practical applications and tricks in the Nonsmooth Optimization in Machine Learning session in the International Conference on Continuous Optimization (ICCOPT), 2022. See the talk slides for more details!

[Jul 26, 2022] NCVX PyGRANSO v1.2.0 released. Check our Change Log here!

[May 29, 2022] I am funded by the FAIR4HEP Grant to make FAIR (Findable, Accessible, Interoperable, and Reusable) AI models for high-energy physics data.

[Feb 20, 2022] NCVX PyGRANSO v1.1.0 released. Join our NCVX PyGRANSO Forum for more information!

[Jan 07, 2022] Our NCVX package is highlighted in Research Computing (Office of the Vice President for Research)

[Jan 01, 2022] NCVX with its initial solver PyGRANSO v1.0.0 released. Check the documentation page and GitHub repo for more information.

[Nov 29, 2021] Proud to release our paper NCVX: A User-Friendly and Scalable Package for Nonconvex Optimization in Machine Learning on arXiv! NCVX is the initial translation and revamping of the GRANSO package, with convenient features such as auto-differentiation and GPU support. In particular, NCVX can be used to solve constrained deep learning problems.

[May 25, 2021] I am funded by the U of M Informatics Institute (UMII) Seed Grant Program to revamp the GRANSO package into a user-friendly, scalable numerical optimization package.