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
Ruoshi LiuPhD Student, Columbia UniversityVerified email at columbia.edu
Shuran SongColumbia UniversityVerified email at cs.columbia.edu
Yun-Yun TsaiPh.D. student at Computer Science, 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

Columbia University

Verified email at columbia.edu - Homepage

Trustworthy AI Computer Vision Multimodal


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	227	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	95	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	59	2021
Adversarial Attacks are Reversible with Natural Supervision C Mao, M Chiquier, H Wang, J Yang, C Vondrick ICCV 2021, 2021	49	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	44	2022
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
Discrete Representations Strengthen Vision Transformer Robustness C Mao, L Jiang, M Dehghani, C Vondrick, R Sukthankar, I Essa ICLR 2022, 2021	42	2021
Causal Transportability for Visual Recognition C Mao, K Xia, J Wang, H Wang, J Yang, E Bareinboim, C Vondrick CVPR 2022, 2022	35	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	31	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	24	2019
Advspade: Realistic unrestricted attacks for semantic segmentation G Shen, C Mao, J Yang, B Ray arXiv preprint arXiv:1910.02354, 2019	13	2019
Convolutional visual prompt for robust visual perception YY Tsai, C Mao, J Yang Advances in Neural Information Processing Systems 36, 27897-27921, 2023	10*	2023
Shadows shed light on 3d objects R Liu, S Menon, C Mao, D Park, S Stent, C Vondrick CVPR, 2022	10	2022
Real-Time Neural Voice Camouflage M Chiquier, C Mao, C Vondrick ICLR 2022 (Oral), 2021	10	2021
Raidar: geneRative AI Detection viA Rewriting C Mao, C Vondrick, H Wang, J Yang ICLR, 2024	7	2024
Robust Perception through Equivariance C Mao, L Zhang, A Joshi, J Yang, H Wang, C Vondrick ICML, 2023	7	2023
Selfie: Self-interpretation of large language model embeddings H Chen, C Vondrick, C Mao arXiv preprint arXiv:2403.10949, 2024	6	2024
Using Multiple Self-Supervised Tasks Improves Model Robustness M Lawhon, C Mao, J Yang ICLR 2022 workshop, 2022	5	2022
Deep self-organizing reservoir computing model for visual object recognition Z Deng, C Mao, X Chen 2016 International Joint Conference on Neural Networks (IJCNN), 1325-1332, 2016	5	2016

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