Chengzhi Mao
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
28
Venues
14
Active years
2016–2025
Best venue rank
A*
Where they publish
Papers
28 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ACL | Learning to Rewrite: Generalized LLM-Generated Text Detection. | Wei Hao, Ran Li, Weiliang Zhao, Junfeng Yang, Chengzhi Mao |
| 2025 | ACL | Aligned but Blind: Alignment Increases Implicit Bias by Reducing Awareness of Race. | Lihao Sun, Chengzhi Mao, Valentin Hofmann, Xuechunzi Bai |
| 2025 | ASPLOS | Nazar: Monitoring and Adapting ML Models on Mobile Devices. | Wei Hao, Zixi Wang, Lauren Hong, Lingxiao Li, Nader Karayanni, AnMei Dasbach-Prisk, Chengzhi Mao, Junfeng Yang, Asaf Cidon |
| 2025 | ICLR | I Can Hear You: Selective Robust Training for Deepfake Audio Detection. | Zirui Zhang, Wei Hao, Aroon Sankoh, William Lin, Emanuel Mendiola-Ortiz, Junfeng Yang, Chengzhi Mao |
| 2025 | ICML | EditLord: Learning Code Transformation Rules for Code Editing. | Weichen Li, Albert Jan, Baishakhi Ray, Junfeng Yang, Chengzhi Mao, Kexin Pei |
| 2025 | NAACL | Diversity Helps Jailbreak Large Language Models. | Weiliang Zhao, Daniel Ben-Levi, Wei Hao, Junfeng Yang, Chengzhi Mao |
| 2025 | WACV | ML-JET: A Benchmark Dataset for Classifying Heavy Ion Collisions. | Haydar Mehryar, Chengzhi Mao, Loren Schwiebert |
| 2024 | CVPR | ImageNet-D: Benchmarking Neural Network Robustness on Diffusion Synthetic Object. | Chenshuang Zhang, Fei Pan, Junmo Kim, In So Kweon, Chengzhi Mao |
| 2024 | EMNLP | RAFT: Realistic Attacks to Fool Text Detectors. | James Wang, Ran Li, Junfeng Yang, Chengzhi Mao |
| 2024 | ICLR | INViTE: INterpret and Control Vision-Language Models with Text Explanations. | Haozhe Chen, Junfeng Yang, Carl Vondrick, Chengzhi Mao |
| 2024 | ICLR | Raidar: geneRative AI Detection viA Rewriting. | Chengzhi Mao, Carl Vondrick, Hao Wang, Junfeng Yang |
| 2024 | ICML | SelfIE: Self-Interpretation of Large Language Model Embeddings. | Haozhe Chen, Carl Vondrick, Chengzhi Mao |
| 2024 | ICSE | Towards Causal Deep Learning for Vulnerability Detection. | Md Mahbubur Rahman, Ira Ceka, Chengzhi Mao, Saikat Chakraborty, Baishakhi Ray, Wei Le |
| 2023 | CVPR | What You Can Reconstruct from a Shadow. | Ruoshi Liu, Sachit Menon, Chengzhi Mao, Dennis Park, Simon Stent, Carl Vondrick |
| 2023 | CVPR | Doubly Right Object Recognition: A Why Prompt for Visual Rationales. | Chengzhi Mao, Revant Teotia, Amrutha Sundar, Sachit Menon, Junfeng Yang, Xin Wang, Carl Vondrick |
| 2023 | ICCV | Landscape Learning for Neural Network Inversion. | Ruoshi Liu, Chengzhi Mao, Purva Tendulkar, Hao Wang, Carl Vondrick |
| 2023 | ICLR | Understanding Zero-shot Adversarial Robustness for Large-Scale Models. | Chengzhi Mao, Scott Geng, Junfeng Yang, Xin Wang, Carl Vondrick |
| 2023 | ICML | Robust Perception through Equivariance. | Chengzhi Mao, Lingyu Zhang, Abhishek Vaibhav Joshi, Junfeng Yang, Hao Wang, Carl Vondrick |
| 2022 | CVPR | Causal Transportability for Visual Recognition. | Chengzhi Mao, Kevin Xia, James Wang, Hao Wang, Junfeng Yang, Elias Bareinboim, Carl Vondrick |
| 2022 | ICLR | Real-Time Neural Voice Camouflage. | Mia Chiquier, Chengzhi Mao, Carl Vondrick |
| 2022 | ICLR | Discrete Representations Strengthen Vision Transformer Robustness. | Chengzhi Mao, Lu Jiang, Mostafa Dehghani, Carl Vondrick, Rahul Sukthankar, Irfan Essa |
| 2021 | CVPR | Generative Interventions for Causal Learning. | Chengzhi Mao, Augustine Cha, Amogh Gupta, Hao Wang, Junfeng Yang, Carl Vondrick |
| 2021 | ICCV | Adversarial Attacks are Reversible with Natural Supervision. | Chengzhi Mao, Mia Chiquier, Hao Wang, Junfeng Yang, Carl Vondrick |
| 2020 | CVPR | Live Trojan Attacks on Deep Neural Networks. | Robby Costales, Chengzhi Mao, Raphael Norwitz, Bryan Kim, Junfeng Yang |
| 2020 | ECCV | Multitask Learning Strengthens Adversarial Robustness. | Chengzhi Mao, Amogh Gupta, Vikram Nitin, Baishakhi Ray, Shuran Song, Junfeng Yang, Carl Vondrick |
| 2019 | AAAI | Bidirectional Inference Networks: A Class of Deep Bayesian Networks for Health Profiling. | Hao Wang, Chengzhi Mao, Hao He, Mingmin Zhao, Tommi S. Jaakkola, Dina Katabi |
| 2018 | GLOBECOM | A Probabilistic Learning Approach to UWB Ranging Error Mitigation. | Chengzhi Mao, Kangbo Lin, Tiancheng Yu, Yuan Shen |
| 2016 | IJCNN | Deep self-organizing reservoir computing model for visual object recognition. | Zhidong Deng, Chengzhi Mao, Xiong Chen |