Learning to Infer and Execute 3D Shape Programs. - Yonglong Tian; Andrew Luo 001; Xingyuan Sun; Kevin Ellis; William T. Freeman; Joshua B. Tenenbaum; Jiajun Wu 001 (ICLR (Poster), 2019)

End-to-End Optimization of Scene Layout. - Andrew Luo 001; Zhoutong Zhang; Jiajun Wu 001; Joshua B. Tenenbaum (CVPR, 2020)

SurfGen: Adversarial 3D Shape Synthesis with Explicit Surface Discriminators. - Andrew Luo 001; Tianqin Li; Wen-Hao Zhang; Tai Sing Lee (ICCV, 2021)

Prototype memory and attention mechanisms for few shot image generation. - Tianqin Li; Zijie Li; Andrew Luo 001; Harold Rockwell; Amir Barati Farimani; Tai Sing Lee (ICLR, 2022)

Learning Neural Acoustic Fields. - Andrew F. Luo; Yilun Du; Michael J. Tarr; Josh Tenenbaum 001; Antonio Torralba 001; Chuang Gan 001 (NeurIPS, 2022)

Brain Diffusion for Visual Exploration: Cortical Discovery using Large Scale Generative Models. - Andrew F. Luo; Margaret M. Henderson; Leila Wehbe; Michael J. Tarr (NeurIPS, 2023)

BrainSCUBA: Fine-Grained Natural Language Captions of Visual Cortex Selectivity. - Andrew F. Luo; Margaret M. Henderson; Michael J. Tarr; Leila Wehbe (ICLR, 2024)

Disentangled Acoustic Fields For Multimodal Physical Scene Understanding. - Jie Yin; Andrew Luo 001; Yilun Du; Anoop Cherian; Tim K. Marks; Jonathan Le Roux; Chuang Gan 001 (IROS, 2024)

Diffusion PID: Interpreting Diffusion via Partial Information Decomposition. - Shaurya Dewan; Rushikesh Zawar; Prakanshul Saxena; Yingshan Chang; Andrew F. Luo; Yonatan Bisk (NeurIPS, 2024)

Neural Representations of Dynamic Visual Stimuli. - Jacob Yeung; Andrew F. Luo; Gabriel Sarch; Margaret M. Henderson; Deva Ramanan; Michael J. Tarr (CoRR, 2024)

DiffusionPID: Interpreting Diffusion via Partial Information Decomposition. - Shaurya Dewan; Rushikesh Zawar; Prakanshul Saxena; Yingshan Chang; Andrew F. Luo; Yonatan Bisk (CoRR, 2024)

StableSemantics: A Synthetic Language-Vision Dataset of Semantic Representations in Naturalistic Images. - Rushikesh Zawar; Shaurya Dewan; Andrew F. Luo; Margaret M. Henderson; Michael J. Tarr; Leila Wehbe (CoRR, 2024)

Reanimating Images using Neural Representations of Dynamic Stimuli. - Jacob Yeung; Andrew F. Luo; Gabriel Sarch; Margaret M. Henderson; Deva Ramanan; Michael J. Tarr (CVPR, 2025)

Brain Mapping with Dense Features: Grounding Cortical Semantic Selectivity in Natural Images With Vision Transformers. - Andrew F. Luo; Jacob Yeung; Rushikesh Zawar; Shaurya Dewan; Margaret M. Henderson; Leila Wehbe; Michael J. Tarr (ICLR, 2025)

In Silico Mapping of Visual Categorical Selectivity Across the Whole Brain. - Ethan Hwang; Hossein Adeli; Wenxuan Guo; Andrew F. Luo; Nikolaus Kriegeskorte (NeurIPS, 2025)

Vision Transformers with Self-Distilled Registers. - Zipeng Yan; Yinjie Chen; Chong Zhou; Bo Dai 002; Andrew Luo 001 (NeurIPS, 2025)

Meta-Learning an In-Context Transformer Model of Human Higher Visual Cortex. - Muquan Yu; Mu Nan; Hossein Adeli; Jacob S. Prince; John A. Pyles; Leila Wehbe; Margaret M. Henderson; Michael J. Tarr; Andrew F. Luo (NeurIPS, 2025)

SynBrain: Enhancing Visual-to-fMRI Synthesis via Probabilistic Representation Learning. - Weijian Mai; Jiamin Wu; Yu Zhu; Zhouheng Yao; Dongzhan Zhou; Andrew F. Luo; Qihao Zheng; Wanli Ouyang; Chunfeng Song (CoRR, 2025)

Compose Your Policies! Improving Diffusion-based or Flow-based Robot Policies via Test-time Distribution-level Composition. - Jiahang Cao; Yize Huang; Hanzhong Guo; Rui Zhang; Mu Nan; Weijian Mai; Jiaxu Wang; Hao Cheng 015; Jingkai Sun; Gang Han; Wen Zhao; Qiang Zhang 029; et al. (CoRR, 2025)

BrainLMM: A Label-Free Framework for Mapping Multi-Semantic Representation in the Human Visual Cortex. - Tan Gao; Mufan Xue; Haofang Zheng; Shuo Lv; Jia Xu; Dabin Sheng; Ziming Mao; Xinyu Wu; Andrew Luo 001; Guoyuan Yang (AAAI, 2026)

Real-to-Sim for Highly Cluttered Environments via Physics-Consistent Inter-Object Reasoning. - Tianyi Xiang; Jiahang Cao; Sikai Guo; Guoyang Zhao; Andrew F. Luo; Jun Ma 008 (CoRR, 2026)

Human-like Object Grouping in Self-supervised Vision Transformers. - Hossein Adeli; Seoyoung Ahn; Andrew F. Luo; Mengmi Zhang; Nikolaus Kriegeskorte; Gregory J. Zelinsky (CoRR, 2026)

Meta-learning In-Context Enables Training-Free Cross Subject Brain Decoding. - Mu Nan; Muquan Yu; Weijian Mai; Jacob S. Prince; Hossein Adeli; Rui Zhang; Jiahang Cao; Benjamin Becker; John A. Pyles; Margaret M. Henderson; Chunfeng Song; Nikolaus Kriegeskorte; et al. (CoRR, 2026)

NeuroFlow: Toward Unified Visual Encoding and Decoding from Neural Activity. - Weijian Mai; Mu Nan; Yu Zhu; Jiahang Cao; Rui Zhang; Yuqin Dai; Chunfeng Song; Andrew F. Luo; Jiamin Wu (CoRR, 2026)

Elastic Attention Cores for Scalable Vision Transformers. - Alan Z. Song; Yinjie Chen; Mu Nan; Rui Zhang; Jiahang Cao; Weijian Mai; Muquan Yu; Hossein Adeli; Deva Ramanan; Michael J. Tarr; Andrew F. Luo (CoRR, 2026)

AttenA+: Rectifying Action Inequality in Robotic Foundation Models. - Daojie Peng; Fulong Ma; Jiahang Cao; Qiang Zhang 029; Xupeng Xie; Jian Guo; Ping Luo; Andrew F. Luo; Boyu Zhou; Jun Ma 008 (CoRR, 2026)