Chengzhi Mao

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Junfeng YangAssociate Professor of Computer Science, Columbia UniversityVerified email at cs.columbia.edu
Carl VondrickAssociate Professor, Columbia UniversityVerified email at columbia.edu
Baishakhi RayAssociate Professor, Columbia UniversityVerified email at cs.columbia.edu
Hao WangAssistant Professor of Computer Science, Rutgers UniversityVerified email at mit.edu
Sachit MenonPhD Student, Columbia UniversityVerified email at columbia.edu
Ziyuan ZhongColumbia UniversityVerified email at columbia.edu
Xin WangMicrosoft AI, UC BerkeleyVerified email at berkeley.edu
Mia ChiquierColumbia UniversityVerified email at columbia.edu
Shuran SongStanford UniversityVerified email at stanford.edu
Yun-Yun TsaiPh.D. student at Computer Science, Columbia UniversityVerified email at columbia.edu
Ruoshi LiuPhD Student, Columbia UniversityVerified email at columbia.edu
Lu JiangResearch Scientist, TikTok & Adjunct Faculty, CMUVerified email at cs.cmu.edu
Irfan EssaDistinguished Professor of Computing, Georgia Tech / Research Scientist, GoogleVerified email at gatech.edu
Rahul SukthankarGoogle ResearchVerified email at google.com
Mostafa DehghaniResearch Scientist, Google DeepMindVerified email at google.com
Elias BareinboimColumbia UniversityVerified email at columbia.edu
Yuan ShenProfessor, EE, Tsinghua UniversityVerified email at tsinghua.edu.cn
Dina KatabiThuan and Nicole Pham Professor, MITVerified email at ai.mit.edu
Mingmin ZhaoAssistant Professor, University of PennsylvaniaVerified email at cis.upenn.edu
Tommi JaakkolaMITVerified email at csail.mit.edu

Chengzhi Mao

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Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Metric learning for adversarial robustness C Mao, Z Zhong, J Yang, C Vondrick, B Ray NeurIPS 2019, 2019	234	2019
Multitask Learning Strengthens Adversarial Robustness C Mao, G Amogh, V Nitin, B Ray, S Song, J Yang, C Vondrick ECCV 2020 (Oral) - 16th European Conference, Glasgow, UK, August 23-28 …, 2020	96	2020
Generative Interventions for Causal Learning C Mao, A Gupta, A Cha, H Wang, J Yang, C Vondrick Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021	62	2021
Understanding Zero-Shot Adversarial Robustness for Large-Scale Models C Mao, S Geng, J Yang, X Wang, C Vondrick ICLR2023; arXiv preprint arXiv:2212.07016, 2022	57	2022
Adversarial Attacks are Reversible with Natural Supervision C Mao, M Chiquier, H Wang, J Yang, C Vondrick ICCV 2021, 2021	53	2021
Discrete Representations Strengthen Vision Transformer Robustness C Mao, L Jiang, M Dehghani, C Vondrick, R Sukthankar, I Essa ICLR 2022, 2021	46	2021
Live Trojan Attacks on Deep Neural Networks R Costales, C Mao, R Norwitz, B Kim, J Yang CVPRW2020. arXiv preprint arXiv:2004.11370, 2020	43	2020
Causal Transportability for Visual Recognition C Mao, K Xia, J Wang, H Wang, J Yang, E Bareinboim, C Vondrick CVPR 2022, 2022	40	2022
Doubly right object recognition: A why prompt for visual rationales C Mao, R Teotia, A Sundar, S Menon, J Yang, X Wang, C Vondrick Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023	37	2023
A probabilistic learning approach to UWB ranging error mitigation C Mao, K Lin, T Yu, Y Shen 2018 IEEE Global Communications Conference (GLOBECOM), 2018	31	2018
Bidirectional Inference Networks: A Class of Deep Bayesian Networks for Health Profiling H Wang, C Mao, H He, M Zhao, TS Jaakkola, D Katabi AAAI, 2019	26	2019
Convolutional visual prompt for robust visual perception YY Tsai, C Mao, J Yang Advances in Neural Information Processing Systems 36, 27897-27921, 2023	13*	2023
Advspade: Realistic unrestricted attacks for semantic segmentation G Shen, C Mao, J Yang, B Ray arXiv preprint arXiv:1910.02354, 2019	13	2019
Raidar: geneRative AI Detection viA Rewriting C Mao, C Vondrick, H Wang, J Yang ICLR, 2024	11	2024
Selfie: Self-interpretation of large language model embeddings H Chen, C Vondrick, C Mao arXiv preprint arXiv:2403.10949, 2024	10	2024
Real-Time Neural Voice Camouflage M Chiquier, C Mao, C Vondrick ICLR 2022 (Oral), 2021	10	2021
Shadows shed light on 3d objects R Liu, S Menon, C Mao, D Park, S Stent, C Vondrick CVPR, 2022	9	2022
Robust Perception through Equivariance C Mao, L Zhang, A Joshi, J Yang, H Wang, C Vondrick ICML, 2023	7	2023
Landscape learning for neural network inversion R Liu, C Mao, P Tendulkar, H Wang, C Vondrick Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023	7	2023
ImageNet-D: Benchmarking Neural Network Robustness on Diffusion Synthetic Object C Zhang, F Pan, J Kim, IS Kweon, C Mao Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024	5	2024

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