Chengzhi Mao

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 51

Top Topics

Matrix Factorization

Object Recognition

Metric Learning

Top Venues

Publications

Haozhe Chen, Carl Vondrick, Chengzhi Mao
SelfIE: Self-Interpretation of Large Language Model Embeddings. CoRR (2024)
Chengzhi Mao, Carl Vondrick, Hao Wang, Junfeng Yang
Raidar: geneRative AI Detection viA Rewriting. ICLR (2024)
Qingyuan Liu, Pengyuan Shi, Yun-Yun Tsai, Chengzhi Mao, Junfeng Yang
Turns Out I'm Not Real: Towards Robust Detection of AI-Generated Videos. CoRR (2024)
Chengzhi Mao, Zhifeng Wu, Yingjie Liu, Zhiwei Shi
Matrix Factorization Recommendation Algorithm Based on Attention Interaction. Symmetry 16 (3) (2024)
Haozhe Chen, Junfeng Yang, Carl Vondrick, Chengzhi Mao
INViTE: INterpret and Control Vision-Language Models with Text Explanations. ICLR (2024)
Chenshuang Zhang, Fei Pan, Junmo Kim, In So Kweon, Chengzhi Mao
ImageNet-D: Benchmarking Neural Network Robustness on Diffusion Synthetic Object. CoRR (2024)
Chengzhi Mao, Carl Vondrick, Hao Wang, Junfeng Yang
Raidar: geneRative AI Detection viA Rewriting. CoRR (2024)
Md Mahbubur Rahman, Ira Ceka, Chengzhi Mao, Saikat Chakraborty, Baishakhi Ray, Wei Le
Towards Causal Deep Learning for Vulnerability Detection. ICSE (2024)
Chengzhi Mao, Revant Teotia, Amrutha Sundar, Sachit Menon, Junfeng Yang, Xin Wang, Carl Vondrick
Doubly Right Object Recognition: A Why Prompt for Visual Rationales. CVPR (2023)
Yun-Yun Tsai, Chengzhi Mao, Junfeng Yang
Convolutional Visual Prompt for Robust Visual Perception. NeurIPS (2023)
Chengzhi Mao, Lingyu Zhang, Abhishek Vaibhav Joshi, Junfeng Yang, Hao Wang, Carl Vondrick
Robust Perception through Equivariance. ICML (2023)
Chengzhi Mao, Scott Geng, Junfeng Yang, Xin Wang, Carl Vondrick
Understanding Zero-shot Adversarial Robustness for Large-Scale Models. ICLR (2023)
Haozhe Chen, Junfeng Yang, Carl Vondrick, Chengzhi Mao
Interpreting and Controlling Vision Foundation Models via Text Explanations. CoRR (2023)
Yun-Yun Tsai, Chengzhi Mao, Yow-Kuan Lin, Junfeng Yang
Self-Supervised Convolutional Visual Prompts. CoRR (2023)
Md Mahbubur Rahman, Ira Ceka, Chengzhi Mao, Saikat Chakraborty, Baishakhi Ray, Wei Le
Towards Causal Deep Learning for Vulnerability Detection. CoRR (2023)
Wei Hao, Zixi Wang, Lauren Hong, Lingxiao Li, Nader Karayanni, Chengzhi Mao, Junfeng Yang, Asaf Cidon
Monitoring and Adapting ML Models on Mobile Devices. CoRR (2023)
Noah Thomas McDermott, Junfeng Yang, Chengzhi Mao
Robustifying Language Models with Test-Time Adaptation. CoRR (2023)
Ruoshi Liu, Sachit Menon, Chengzhi Mao, Dennis Park, Simon Stent, Carl Vondrick
What You Can Reconstruct from a Shadow. CVPR (2023)
Yun-Yun Tsai, Ju-Chin Chao, Albert Wen, Zhaoyuan Yang, Chengzhi Mao, Tapan Shah, Junfeng Yang
Test-time Detection and Repair of Adversarial Samples via Masked Autoencoder. CoRR (2023)
Ruoshi Liu, Chengzhi Mao, Purva Tendulkar, Hao Wang, Carl Vondrick
Landscape Learning for Neural Network Inversion. ICCV (2023)
Mia Chiquier, Chengzhi Mao, Carl Vondrick
Real-Time Neural Voice Camouflage. ICLR (2022)
Chengzhi Mao, Revant Teotia, Amrutha Sundar, Sachit Menon, Junfeng Yang, Xin Wang, Carl Vondrick
Doubly Right Object Recognition: A Why Prompt for Visual Rationales. CoRR (2022)
Chengzhi Mao, Scott Geng, Junfeng Yang, Xin Wang, Carl Vondrick
Understanding Zero-Shot Adversarial Robustness for Large-Scale Models. CoRR (2022)
Matthew Lawhon, Chengzhi Mao, Junfeng Yang
Using Multiple Self-Supervised Tasks Improves Model Robustness. CoRR (2022)
Chengzhi Mao, Kevin Xia, James Wang, Hao Wang, Junfeng Yang, Elias Bareinboim, Carl Vondrick
Causal Transportability for Visual Recognition. CVPR (2022)
Wei Hao, Aahil Awatramani, Jiayang Hu, Chengzhi Mao, Pin-Chun Chen, Eyal Cidon, Asaf Cidon, Junfeng Yang
A Tale of Two Models: Constructing Evasive Attacks on Edge Models. MLSys (2022)
Chengzhi Mao, Lu Jiang, Mostafa Dehghani, Carl Vondrick, Rahul Sukthankar, Irfan Essa
Discrete Representations Strengthen Vision Transformer Robustness. ICLR (2022)
Wei Hao, Aahil Awatramani, Jiayang Hu, Chengzhi Mao, Pin-Chun Chen, Eyal Cidon, Asaf Cidon, Junfeng Yang
A Tale of Two Models: Constructing Evasive Attacks on Edge Models. CoRR (2022)
Hao Wang, Wanyu Lin, Hao He, Di Wang, Chengzhi Mao, Muhan Zhang
1st ICLR International Workshop on Privacy, Accountability, Interpretability, Robustness, Reasoning on Structured Data (PAIR^2Struct). CoRR (2022)
Chengzhi Mao, Kevin Xia, James Wang, Hao Wang, Junfeng Yang, Elias Bareinboim, Carl Vondrick
Causal Transportability for Visual Recognition. CoRR (2022)
Lingyu Zhang, Chengzhi Mao, Junfeng Yang, Carl Vondrick
Adversarially Robust Video Perception by Seeing Motion. CoRR (2022)
Chengzhi Mao, Lingyu Zhang, Abhishek Joshi, Junfeng Yang, Hao Wang, Carl Vondrick
Robust Perception through Equivariance. CoRR (2022)
Ruoshi Liu, Sachit Menon, Chengzhi Mao, Dennis Park, Simon Stent, Carl Vondrick
Shadows Shed Light on 3D Objects. CoRR (2022)
Ruoshi Liu, Chengzhi Mao, Purva Tendulkar, Hao Wang, Carl Vondrick
Landscape Learning for Neural Network Inversion. CoRR (2022)
Chengzhi Mao, Augustine Cha, Amogh Gupta, Hao Wang, Junfeng Yang, Carl Vondrick
Generative Interventions for Causal Learning. CVPR (2021)
Chengzhi Mao, Mia Chiquier, Hao Wang, Junfeng Yang, Carl Vondrick
Adversarial Attacks are Reversible with Natural Supervision. ICCV (2021)
Chengzhi Mao, Lu Jiang, Mostafa Dehghani, Carl Vondrick, Rahul Sukthankar, Irfan Essa
Discrete Representations Strengthen Vision Transformer Robustness. CoRR (2021)
Mia Chiquier, Chengzhi Mao, Carl Vondrick
Real-Time Neural Voice Camouflage. CoRR (2021)
Chengzhi Mao, Mia Chiquier, Hao Wang, Junfeng Yang, Carl Vondrick
Adversarial Attacks are Reversible with Natural Supervision. CoRR (2021)
Chengzhi Mao, Amogh Gupta, Vikram Nitin, Baishakhi Ray, Shuran Song, Junfeng Yang, Carl Vondrick
Multitask Learning Strengthens Adversarial Robustness. ECCV (2) (2020)
Robby Costales, Chengzhi Mao, Raphael Norwitz, Bryan Kim, Junfeng Yang
Live Trojan Attacks on Deep Neural Networks. CoRR (2020)
Chengzhi Mao, Amogh Gupta, Augustine Cha, Hao Wang, Junfeng Yang, Carl Vondrick
Generative Interventions for Causal Learning. CoRR (2020)
Chengzhi Mao, Amogh Gupta, Vikram Nitin, Baishakhi Ray, Shuran Song, Junfeng Yang, Carl Vondrick
Multitask Learning Strengthens Adversarial Robustness. CoRR (2020)
Robby Costales, Chengzhi Mao, Raphael Norwitz, Bryan Kim, Junfeng Yang
Live Trojan Attacks on Deep Neural Networks. CVPR Workshops (2020)
Chengzhi Mao, Ziyuan Zhong, Junfeng Yang, Carl Vondrick, Baishakhi Ray
Metric Learning for Adversarial Robustness. CoRR (2019)
Hao Wang, Chengzhi Mao, Hao He, Mingmin Zhao, Tommi S. Jaakkola, Dina Katabi
Bidirectional Inference Networks: A Class of Deep Bayesian Networks for Health Profiling. CoRR (2019)
Hao Wang, Chengzhi Mao, Hao He, Mingmin Zhao, Tommi S. Jaakkola, Dina Katabi
Bidirectional Inference Networks: A Class of Deep Bayesian Networks for Health Profiling. AAAI (2019)
Chengzhi Mao, Ziyuan Zhong, Junfeng Yang, Carl Vondrick, Baishakhi Ray
Metric Learning for Adversarial Robustness. NeurIPS (2019)
Guangyu Shen, Chengzhi Mao, Junfeng Yang, Baishakhi Ray
Unrestricted Adversarial Attacks for Semantic Segmentation. CoRR (2019)
Chengzhi Mao, Kangbo Lin, Tiancheng Yu, Yuan Shen
A Probabilistic Learning Approach to UWB Ranging Error Mitigation. GLOBECOM (2018)
Zhidong Deng, Chengzhi Mao, Xiong Chen
Deep self-organizing reservoir computing model for visual object recognition. IJCNN (2016)