VITA

NSF IFML workshop on Models v.s. Data in ML and AI, Apr 2023
ICLR 2023 Workshop on Sparsity in Neural Networks: On Practical Limitations and Tradeoffs between Sustainability and Efficiency, May 2023
CVPR 2023 Workshop and Prize Challenge: Bridging the Gap between Computational Photography and Visual Recognition (UG2+), Jun 2023
ICASSP 2023 Special Session on Unsupervised Deep Learning of Image Priors for Inverse Problems, Jun 2023
ICASSP 2023 Tutorial on Bilevel Optimization for Machine Learning: Theory, Algorithms and Applications, Jun 2023
ICASSP 2023 Short Course on Low-Dimensional Models for High-Dimensional Data: From Linear to Nonlinear, Convex to Nonconvex, and Shallow to Deep, Jun 2023

IEEE Computer Magazine: "Virtual Roundtable Interview: Efficient Computer Vision for Embedded Systems", Apr 2022
NSF News: "Accelerating Neural Architecture Search with Theory-Grounded, Training-Free Metrics", Mar 2022
Quanta Magazine: "Will Transformers Take Over Artificial Intelligence?", Mar 2022
UT Engineering News: "5 Questions with Cockrell’s Newest Machine Learning and Artificial Intelligence Expert, Atlas Wang", Mar 2021
IDG Connect: "Reducing energy use in neural networks", Jan 2021
MIT News: "Shrinking massive neural networks used to model language", Dec 2020
US Army Research Lab selected our work as No. 3 in US ARL’s “10 Coolest Techniques” of the year [Video Demo], Oct 2020
Tech Xplore: "Fooling deep neural networks for object detection with adversarial 3-D logos", Jul 2020
Synced AI Technology & Industry Review: "AutoML + GAN = AutoGAN! AI can now design better GAN models than humans", Aug 2019
Adobe Research Blog: "Smart home? Adversarial machine learning could protect your privacy", Nov 2018

IEEE TIP'23, Multi-Purpose Real Haze Benchmark (A2I2-Haze) dataset [Webpage]
IEEE TPAMI'20 + ECCV'18, Privacy attributes in HMDB51 (PA-HMDB51) dataset [Webpage]
IJCV'20 + CVPR'19, Multi-Purpose Image Deraining (MPID) dataset [Webpage]
IEEE TIP'19, REalistic Single Image DEhazing (RESIDE) dataset [Webpage]
ACM MM'15, Adobe Visual Font Recognition (VFR) dataset [Webpage]

At UT Austin

At TAMU

Our three popular image enhancement algorithms: AOD-Net, EnlightenGAN, and DeblurGAN-V2, are included into the open-source GNU Image Manipulation Program toolbox (GIMP-ML), as deep-dehazing, enlighten, and deblur plugins
DeblurGAN-V2 is also implemented by Intel OpenVINO toolkit
DeepFont, an Adobe Photoshop built-in feature, as one of its leading contributors. [Official Photoshop Manual]
Distributed Machine Learning (DML) ToolBox, as part of Microsoft Prajna
Dehazing algorithms integrated in the Computer Vision Emergency Response (CVER) toolkit [by students Pritish Uplavikar and Ryan Wells] [Webpage]

Open Calls for Papers/Participation