BOLD5000: A public fMRI dataset of 5000 images. - Nadine Chang; John A. Pyles; Abhinav Gupta 001; Michael J. Tarr; Elissa M. Aminoff (CoRR, 2018)

Alpha Net: Adaptation with Composition in Classifier Space. - Nadine Chang; Jayanth Koushik; Michael J. Tarr; Martial Hebert; Yu-Xiong Wang (CoRR, 2020)

Soft Magnetic Tactile Skin for Continuous Force and Location Estimation Using Neural Networks. - Tess Lee Hellebrekers; Nadine Chang; Keene Chin; Michael J. Ford; Oliver Kroemer; Carmel Majidi (IEEE Robotics Autom. Lett., 2020)

Image-Level or Object-Level? A Tale of Two Resampling Strategies for Long-Tailed Detection. - Nadine Chang; Zhiding Yu; Yu-Xiong Wang; Animashree Anandkumar; Sanja Fidler; José M. Álvarez 004 (ICML, 2021)

Thinking Like an Annotator: Generation of Dataset Labeling Instructions. - Nadine Chang; Francesco Ferroni; Michael J. Tarr; Martial Hebert; Deva Ramanan (CoRR, 2023)

Bridging the Gap Between Human Vision and Computer Vision - Nadine Chang (2023)

OmniDrive: A Holistic LLM-Agent Framework for Autonomous Driving with 3D Perception, Reasoning and Planning. - Shihao Wang; Zhiding Yu; Xiaohui Jiang; Shiyi Lan; Min Shi; Nadine Chang; Jan Kautz; Ying Li; José M. Álvarez 004 (CoRR, 2024)

PARC: A Quantitative Framework Uncovering the Symmetries within Vision Language Models. - Jenny Schmalfuss; Nadine Chang; Vibashan VS; Maying Shen; Andrés Bruhn; José M. Álvarez 004 (CVPR, 2025)

OmniDrive: A Holistic Vision-Language Dataset for Autonomous Driving with Counterfactual Reasoning. - Shihao Wang; Zhiding Yu; Xiaohui Jiang; Shiyi Lan; Min Shi; Nadine Chang; Jan Kautz; Ying Li; José M. Álvarez 004 (CVPR, 2025)

SSE: Multimodal Semantic Data Selection and Enrichment for Industrial-scale Data Assimilation. - Maying Shen; Nadine Chang; Sifei Liu; José M. Álvarez 004 (KDD (1), 2025)

Eagle 2: Building Post-Training Data Strategies from Scratch for Frontier Vision-Language Models. - Zhiqi Li; Guo Chen 006; Shilong Liu; Shihao Wang; Vibashan VS; Yishen Ji; Shiyi Lan; Hao Zhang 097; Yilin Zhao; Subhashree Radhakrishnan; Nadine Chang; Karan Sapra; et al. (CoRR, 2025)

Enhancing Autonomous Driving Safety with Collision Scenario Integration. - Zi Wang; Shiyi Lan; Xinglong Sun; Nadine Chang; Zhenxin Li; Zhiding Yu; José M. Álvarez 004 (CoRR, 2025)

Generalized Trajectory Scoring for End-to-end Multimodal Planning. - Zhenxin Li; Wenhao Yao; Zi Wang; Xinglong Sun; Joshua Chen; Nadine Chang; Maying Shen; Zuxuan Wu; Shiyi Lan; José M. Álvarez 004 (CoRR, 2025)

AdaDeDup: Adaptive Hybrid Data Pruning for Efficient Large-Scale Object Detection Training. - Feiyang Kang; Nadine Chang; Maying Shen; Marc T. Law; Rafid Mahmood; Ruoxi Jia 001; José M. Álvarez 004 (CoRR, 2025)