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ORCIDAndrew Luo 0001
Person information
- affiliation: University of Hong Kongm Institute of Data Science, Department of Psychology, Hong Kong
- affiliation (PhD 2024): Carnegie Mellon University, Pittsburgh, PA, USA
- affiliation (former): Massachusetts Institute of Technology, Cambridge, MA, USA
Other persons with the same name
- Andrew Luo — disambiguation page
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2020 – today
- 2026
[j1]Tianyi Xiang
, Jiahang Cao, Sikai Guo, Guoyang Zhao, Andrew F. Luo, Jun Ma:
Real-to-Sim for Highly Cluttered Environments via Physics-Consistent Inter-Object Reasoning. IEEE Robotics Autom. Lett. 11(7): 8544-8551 (2026)- [c15]Tan Gao, Mufan Xue, Haofang Zheng, Shuo Lv, Jia Xu, Dabin Sheng, Ziming Mao, Xinyu Wu, Andrew Luo, Guoyuan Yang:
BrainLMM: A Label-Free Framework for Mapping Multi-Semantic Representation in the Human Visual Cortex. AAAI 2026: 4176-4184 - [i21]Tianyi Xiang, Jiahang Cao, Sikai Guo, Guoyang Zhao, Andrew F. Luo, Jun Ma:
Real-to-Sim for Highly Cluttered Environments via Physics-Consistent Inter-Object Reasoning. CoRR abs/2602.12633 (2026) - [i20]Hossein Adeli, Seoyoung Ahn, Andrew F. Luo, Mengmi Zhang, Nikolaus Kriegeskorte, Gregory J. Zelinsky:
Human-like Object Grouping in Self-supervised Vision Transformers. CoRR abs/2603.13994 (2026) - [i19]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, Michael J. Tarr, Xiaoqing Hu, Andrew F. Luo:
Meta-learning In-Context Enables Training-Free Cross Subject Brain Decoding. CoRR abs/2604.08537 (2026) - [i18]Weijian Mai, Mu Nan, Yu Zhu, Jiahang Cao, Rui Zhang, Yuqin Dai, Chunfeng Song, Andrew F. Luo, Jiamin Wu:
NeuroFlow: Toward Unified Visual Encoding and Decoding from Neural Activity. CoRR abs/2604.09817 (2026) - [i17]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:
Elastic Attention Cores for Scalable Vision Transformers. CoRR abs/2605.12491 (2026) - [i16]Daojie Peng, Fulong Ma, Jiahang Cao, Qiang Zhang, Xupeng Xie, Jian Guo, Ping Luo, Andrew F. Luo, Boyu Zhou, Jun Ma:
AttenA+: Rectifying Action Inequality in Robotic Foundation Models. CoRR abs/2605.13548 (2026) - 2025
- [c14]Jacob Yeung, Andrew F. Luo, Gabriel Sarch, Margaret M. Henderson, Deva Ramanan, Michael J. Tarr:
Reanimating Images using Neural Representations of Dynamic Stimuli. CVPR 2025: 5331-5343 - [c13]Andrew F. Luo, Jacob Yeung, Rushikesh Zawar, Shaurya Dewan, Margaret M. Henderson, Leila Wehbe, Michael J. Tarr:
Brain Mapping with Dense Features: Grounding Cortical Semantic Selectivity in Natural Images With Vision Transformers. ICLR 2025 - [c12]Ethan Hwang, Hossein Adeli, Wenxuan Guo, Andrew F. Luo, Nikolaus Kriegeskorte:
In Silico Mapping of Visual Categorical Selectivity Across the Whole Brain. NeurIPS 2025 - [c11]Zipeng Yan, Yinjie Chen, Chong Zhou, Bo Dai, Andrew Luo:
Vision Transformers with Self-Distilled Registers. NeurIPS 2025 - [c10]Muquan Yu, Mu Nan, Hossein Adeli, Jacob S. Prince, John A. Pyles, Leila Wehbe, Margaret M. Henderson, Michael J. Tarr, Andrew F. Luo:
Meta-Learning an In-Context Transformer Model of Human Higher Visual Cortex. NeurIPS 2025 - [i15]Muquan Yu, Mu Nan, Hossein Adeli, Jacob S. Prince, John A. Pyles, Leila Wehbe, Margaret M. Henderson, Michael J. Tarr, Andrew F. Luo:
Meta-Learning an In-Context Transformer Model of Human Higher Visual Cortex. CoRR abs/2505.15813 (2025) - [i14]Yinjie Chen, Zipeng Yan, Chong Zhou, Bo Dai, Andrew F. Luo:
Vision Transformers with Self-Distilled Registers. CoRR abs/2505.21501 (2025) - [i13]Weijian Mai, Jiamin Wu, Yu Zhu, Zhouheng Yao, Dongzhan Zhou, Andrew F. Luo, Qihao Zheng, Wanli Ouyang, Chunfeng Song:
SynBrain: Enhancing Visual-to-fMRI Synthesis via Probabilistic Representation Learning. CoRR abs/2508.10298 (2025) - [i12]Jiahang Cao, Yize Huang, Hanzhong Guo, Rui Zhang, Mu Nan, Weijian Mai, Jiaxu Wang, Hao Cheng, Jingkai Sun, Gang Han, Wen Zhao, Qiang Zhang, Yijie Guo, Qihao Zheng, Chunfeng Song, Xiao Li, Ping Luo, Andrew F. Luo:
Compose Your Policies! Improving Diffusion-based or Flow-based Robot Policies via Test-time Distribution-level Composition. CoRR abs/2510.01068 (2025) - 2024
- [c9]Andrew F. Luo, Margaret M. Henderson, Michael J. Tarr, Leila Wehbe:
BrainSCUBA: Fine-Grained Natural Language Captions of Visual Cortex Selectivity. ICLR 2024 - [c8]Jie Yin, Andrew Luo, Yilun Du, Anoop Cherian, Tim K. Marks, Jonathan Le Roux, Chuang Gan:
Disentangled Acoustic Fields For Multimodal Physical Scene Understanding. IROS 2024: 557-564 - [c7]Shaurya Dewan, Rushikesh Zawar, Prakanshul Saxena, Yingshan Chang, Andrew F. Luo, Yonatan Bisk:
Diffusion PID: Interpreting Diffusion via Partial Information Decomposition. NeurIPS 2024 - [i11]Jacob Yeung, Andrew F. Luo, Gabriel Sarch, Margaret M. Henderson, Deva Ramanan, Michael J. Tarr:
Neural Representations of Dynamic Visual Stimuli. CoRR abs/2406.02659 (2024) - [i10]Shaurya Dewan, Rushikesh Zawar, Prakanshul Saxena, Yingshan Chang, Andrew F. Luo, Yonatan Bisk:
DiffusionPID: Interpreting Diffusion via Partial Information Decomposition. CoRR abs/2406.05191 (2024) - [i9]Rushikesh Zawar, Shaurya Dewan, Andrew F. Luo, Margaret M. Henderson, Michael J. Tarr, Leila Wehbe:
StableSemantics: A Synthetic Language-Vision Dataset of Semantic Representations in Naturalistic Images. CoRR abs/2406.13735 (2024) - [i8]Jie Yin, Andrew Luo, Yilun Du, Anoop Cherian, Tim K. Marks, Jonathan Le Roux, Chuang Gan:
Disentangled Acoustic Fields For Multimodal Physical Scene Understanding. CoRR abs/2407.11333 (2024) - [i7]Andrew F. Luo, Jacob Yeung, Rushikesh Zawar, Shaurya Dewan, Margaret M. Henderson, Leila Wehbe, Michael J. Tarr:
Brain Mapping with Dense Features: Grounding Cortical Semantic Selectivity in Natural Images With Vision Transformers. CoRR abs/2410.05266 (2024) - 2023
- [c6]Andrew F. Luo, Margaret M. Henderson, Leila Wehbe, Michael J. Tarr:
Brain Diffusion for Visual Exploration: Cortical Discovery using Large Scale Generative Models. NeurIPS 2023 - [i6]Andrew F. Luo, Margaret M. Henderson, Leila Wehbe, Michael J. Tarr:
Brain Diffusion for Visual Exploration: Cortical Discovery using Large Scale Generative Models. CoRR abs/2306.03089 (2023) - [i5]Andrew F. Luo, Margaret M. Henderson, Michael J. Tarr, Leila Wehbe:
BrainSCUBA: Fine-Grained Natural Language Captions of Visual Cortex Selectivity. CoRR abs/2310.04420 (2023) - 2022
- [c5]Tianqin Li, Zijie Li, Andrew Luo, Harold Rockwell, Amir Barati Farimani, Tai Sing Lee:
Prototype memory and attention mechanisms for few shot image generation. ICLR 2022 - [c4]Andrew F. Luo, Yilun Du, Michael J. Tarr, Josh Tenenbaum, Antonio Torralba, Chuang Gan:
Learning Neural Acoustic Fields. NeurIPS 2022 - [i4]Andrew Luo, Tianqin Li, Wen-Hao Zhang, Tai Sing Lee:
SurfGen: Adversarial 3D Shape Synthesis with Explicit Surface Discriminators. CoRR abs/2201.00112 (2022) - [i3]Andrew F. Luo, Yilun Du, Michael J. Tarr, Joshua B. Tenenbaum, Antonio Torralba, Chuang Gan:
Learning Neural Acoustic Fields. CoRR abs/2204.00628 (2022) - 2021
- [c3]Andrew Luo, Tianqin Li, Wen-Hao Zhang, Tai Sing Lee:
SurfGen: Adversarial 3D Shape Synthesis with Explicit Surface Discriminators. ICCV 2021: 16218-16228 - 2020
- [c2]Andrew Luo, Zhoutong Zhang, Jiajun Wu, Joshua B. Tenenbaum:
End-to-End Optimization of Scene Layout. CVPR 2020: 3753-3762 - [i2]Andrew Luo, Zhoutong Zhang, Jiajun Wu, Joshua B. Tenenbaum:
End-to-End Optimization of Scene Layout. CoRR abs/2007.11744 (2020)
2010 – 2019
- 2019
- [c1]Yonglong Tian, Andrew Luo, Xingyuan Sun, Kevin Ellis, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu:
Learning to Infer and Execute 3D Shape Programs. ICLR (Poster) 2019 - [i1]Yonglong Tian, Andrew Luo, Xingyuan Sun, Kevin Ellis, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu:
Learning to Infer and Execute 3D Shape Programs. CoRR abs/1901.02875 (2019)
Coauthor Index
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