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Resources

Open-source code, datasets, and tools for advancing machine learning and computer vision research.

Explore our curated collection of research artifacts, including reproducible code, pre-trained models, and benchmark datasets—freely available to support collaboration and innovation in the broader research community.

Selected Tutorials

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Sparse Neural Networks (2023)

From Practice to Theory

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Low Rank Strikes Back (2025)

In Modern Foundation Models

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Open Calls for Papers/Participation

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NeurIPS Workshop on AI-Native Academia: Authorship, Peer Review, and Conference Governance under AI, Dec 2026

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VITA In the Press (selected)

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AI Street: "Why AI Agents Age", Jun 2026

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Nature: "Too Much Social Media Gives AI Chatbots Brain Rot", Oct 2025

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WIRED: "AI Models Get Brain Rot, Too", Oct 2025

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IEEE Intelligent Systems: "AI’s 10 to Watch, 2022", Apr 2023

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MIT News: "Learning to grow machine-learning models", Mar 2023

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IEEE Computer Magazine: "Virtual Roundtable Interview: Efficient Computer Vision for Embedded Systems", Apr 2022

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NSF News: "Accelerating Neural Architecture Search with Theory-Grounded, Training-Free Metrics", Mar 2022

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Quanta Magazine: "Will Transformers Take Over Artificial Intelligence?", Mar 2022

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MIT News: "Shrinking massive neural networks used to model language", Dec 2020​

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US Army scientists pick the top 10 coolest advances of 2020

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Datasets

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​MIA'24, Long-tailed, multi-label, and zero-shot classification on chest X-rays (CXR-LT) dataset 

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IEEE TIP'23, Multi-Purpose Real Haze Benchmark (A2I2-Haze) dataset

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IEEE TPAMI'20 + ECCV'18, Privacy attributes in HMDB51 (PA-HMDB51) dataset 

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IJCV'20 + CVPR'19, Multi-Purpose Image Deraining (MPID) dataset 

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IEEE TIP'19, REalistic Single Image DEhazing (RESIDE) dataset 

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ACM MM'15, Adobe Visual Font Recognition (VFR) dataset

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Courses

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At TAMU

Fall 2019

TAMU CSCE 633: Machine Learning

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Summer 2019

Advanced Summer School of Learning from Data
(Invited short course at University of Sao Paulo, Brazil)

Spring 2019

TAMU CSCE 633: Machine Learning

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Summer 2018

Recent Advances of Deep Learning in Computer Vision
(Invited short course at University of Sao Paulo, Brazil)

Spring 2018

TAMU CSCE 633: Machine Learning

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