Chengzhi Mao - RankMe

76 papers A* 21B 2Journal 44Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	APPLV: Adaptive Planner Parameter Learning from Vision-Language-Action Model. CoRR Yuanjie Lu, Beichen Wang, Zhengqi Wu, Yang Li, Xiaomin Lin, Chengzhi Mao, Xuesu Xiao
2026	J	`jnl`	R-C2: Cycle-Consistent Reinforcement Learning Improves Multimodal Reasoning. CoRR Zirui Zhang, Haoyu Dong, Kexin Pei, Chengzhi Mao
2025	—	`conf`	Aligned but Blind: Alignment Increases Implicit Bias by Reducing Awareness of Race. ACL (1) Lihao Sun, Chengzhi Mao, Valentin Hofmann, Xuechunzi Bai
2025	J	`jnl`	Aligned but Blind: Alignment Increases Implicit Bias by Reducing Awareness of Race. CoRR Lihao Sun, Chengzhi Mao, Valentin Hofmann, Xuechunzi Bai
2025	J	`jnl`	Differences That Matter: Auditing Models for Capability Gap Discovery and Rectification. CoRR Qihao Liu, Chengzhi Mao, Yaojie Liu, Alan Yuille, Wen-Sheng Chu
2025	—	`conf`	Diversity Helps Jailbreak Large Language Models. NAACL (Long Papers) Weiliang Zhao, Daniel Ben-Levi, Wei Hao, Junfeng Yang, Chengzhi Mao
2025	A*	`conf`	EditLord: Learning Code Transformation Rules for Code Editing. ICML Weichen Li, Albert Jan, Baishakhi Ray, Junfeng Yang, Chengzhi Mao, Kexin Pei
2025	J	`jnl`	EditLord: Learning Code Transformation Rules for Code Editing. CoRR Weichen Li, Albert Jan, Baishakhi Ray, Chengzhi Mao, Junfeng Yang, Kexin Pei
2025	A*	`conf`	I Can Hear You: Selective Robust Training for Deepfake Audio Detection. ICLR Zirui Zhang, Wei Hao, Aroon Sankoh, William Lin, Emanuel Mendiola-Ortiz, Junfeng Yang, Chengzhi Mao
2025	J	`jnl`	LARGO: Latent Adversarial Reflection through Gradient Optimization for Jailbreaking LLMs. CoRR Ran Li, Hao Wang, Chengzhi Mao
2025	J	`jnl`	LAVID: An Agentic LVLM Framework for Diffusion-Generated Video Detection. CoRR Qingyuan Liu, Yun-Yun Tsai, Ruijian Zha, Victoria Li, Pengyuan Shi, Chengzhi Mao, Junfeng Yang
2025	—	`conf`	Learning to Rewrite: Generalized LLM-Generated Text Detection. ACL (1) Wei Hao, Ran Li, Weiliang Zhao, Junfeng Yang, Chengzhi Mao
2025	—	`conf`	ML-JET: A Benchmark Dataset for Classifying Heavy Ion Collisions. WACV (Workshops) Haydar Mehryar, Chengzhi Mao, Loren Schwiebert
2025	J	`jnl`	Mull-Tokens: Modality-Agnostic Latent Thinking. CoRR Arijit Ray, Ahmed Abdelkader, Chengzhi Mao, Bryan A. Plummer, Kate Saenko, Ranjay Krishna, Leonidas J. Guibas, Wen-Sheng Chu
2025	—	`conf`	Nazar: Monitoring and Adapting ML Models on Mobile Devices. ASPLOS (1) Wei Hao, Zixi Wang, Lauren Hong, Lingxiao Li, Nader Karayanni, AnMei Dasbach-Prisk, Chengzhi Mao, Junfeng Yang, Asaf Cidon
2025	J	`jnl`	Video Diffusion Models Excel at Tracking Similar-Looking Objects Without Supervision. CoRR Chenshuang Zhang, Kang Zhang, Joon Son Chung, In So Kweon, Junmo Kim, Chengzhi Mao
2024	J	`jnl`	Diversity Helps Jailbreak Large Language Models. CoRR Weiliang Zhao, Daniel Ben-Levi, Junfeng Yang, Chengzhi Mao
2024	J	`jnl`	I Can Hear You: Selective Robust Training for Deepfake Audio Detection. CoRR Zirui Zhang, Wei Hao, Aroon Sankoh, William Lin, Emanuel Mendiola-Ortiz, Junfeng Yang, Chengzhi Mao
2024	A*	`conf`	INViTE: INterpret and Control Vision-Language Models with Text Explanations. ICLR Haozhe Chen, Junfeng Yang, Carl Vondrick, Chengzhi Mao
2024	A*	`conf`	ImageNet-D: Benchmarking Neural Network Robustness on Diffusion Synthetic Object. CVPR Chenshuang Zhang, Fei Pan, Junmo Kim, In So Kweon, Chengzhi Mao
2024	J	`jnl`	ImageNet-D: Benchmarking Neural Network Robustness on Diffusion Synthetic Object. CoRR Chenshuang Zhang, Fei Pan, Junmo Kim, In So Kweon, Chengzhi Mao
2024	J	`jnl`	Learning to Rewrite: Generalized LLM-Generated Text Detection. CoRR Wei Hao, Ran Li, Weiliang Zhao, Junfeng Yang, Chengzhi Mao
2024	J	`jnl`	Matrix Factorization Recommendation Algorithm Based on Attention Interaction. Symmetry Chengzhi Mao, Zhifeng Wu, Yingjie Liu, Zhiwei Shi
2024	A*	`conf`	RAFT: Realistic Attacks to Fool Text Detectors. EMNLP James Wang, Ran Li, Junfeng Yang, Chengzhi Mao
2024	J	`jnl`	RAFT: Realistic Attacks to Fool Text Detectors. CoRR James Wang, Ran Li, Junfeng Yang, Chengzhi Mao
2024	A*	`conf`	Raidar: geneRative AI Detection viA Rewriting. ICLR Chengzhi Mao, Carl Vondrick, Hao Wang, Junfeng Yang
2024	J	`jnl`	Raidar: geneRative AI Detection viA Rewriting. CoRR Chengzhi Mao, Carl Vondrick, Hao Wang, Junfeng Yang
2024	J	`jnl`	SPIN: Self-Supervised Prompt INjection. CoRR Leon Zhou, Junfeng Yang, Chengzhi Mao
2024	A*	`conf`	SelfIE: Self-Interpretation of Large Language Model Embeddings. ICML Haozhe Chen, Carl Vondrick, Chengzhi Mao
2024	J	`jnl`	SelfIE: Self-Interpretation of Large Language Model Embeddings. CoRR Haozhe Chen, Carl Vondrick, Chengzhi Mao
2024	A*	`conf`	Towards Causal Deep Learning for Vulnerability Detection. ICSE Md Mahbubur Rahman, Ira Ceka, Chengzhi Mao, Saikat Chakraborty, Baishakhi Ray, Wei Le
2024	J	`jnl`	Turns Out I'm Not Real: Towards Robust Detection of AI-Generated Videos. CoRR Qingyuan Liu, Pengyuan Shi, Yun-Yun Tsai, Chengzhi Mao, Junfeng Yang
2023	A*	`conf`	Convolutional Visual Prompt for Robust Visual Perception. NeurIPS Yun-Yun Tsai, Chengzhi Mao, Junfeng Yang
2023	A*	`conf`	Doubly Right Object Recognition: A Why Prompt for Visual Rationales. CVPR Chengzhi Mao, Revant Teotia, Amrutha Sundar, Sachit Menon, Junfeng Yang, Xin Wang, Carl Vondrick
2023	J	`jnl`	Interpreting and Controlling Vision Foundation Models via Text Explanations. CoRR Haozhe Chen, Junfeng Yang, Carl Vondrick, Chengzhi Mao
2023	A*	`conf`	Landscape Learning for Neural Network Inversion. ICCV Ruoshi Liu, Chengzhi Mao, Purva Tendulkar, Hao Wang, Carl Vondrick
2023	J	`jnl`	Monitoring and Adapting ML Models on Mobile Devices. CoRR Wei Hao, Zixi Wang, Lauren Hong, Lingxiao Li, Nader Karayanni, Chengzhi Mao, Junfeng Yang, Asaf Cidon
2023	—	`—`	Robust Machine Learning by Integrating Context Chengzhi Mao
2023	A*	`conf`	Robust Perception through Equivariance. ICML Chengzhi Mao, Lingyu Zhang, Abhishek Vaibhav Joshi, Junfeng Yang, Hao Wang, Carl Vondrick
2023	J	`jnl`	Robustifying Language Models with Test-Time Adaptation. CoRR Noah Thomas McDermott, Junfeng Yang, Chengzhi Mao
2023	J	`jnl`	Self-Supervised Convolutional Visual Prompts. CoRR Yun-Yun Tsai, Chengzhi Mao, Yow-Kuan Lin, Junfeng Yang
2023	J	`jnl`	Test-time Detection and Repair of Adversarial Samples via Masked Autoencoder. CoRR Yun-Yun Tsai, Ju-Chin Chao, Albert Wen, Zhaoyuan Yang, Chengzhi Mao, Tapan Shah, Junfeng Yang
2023	J	`jnl`	Towards Causal Deep Learning for Vulnerability Detection. CoRR Md Mahbubur Rahman, Ira Ceka, Chengzhi Mao, Saikat Chakraborty, Baishakhi Ray, Wei Le
2023	A*	`conf`	Understanding Zero-shot Adversarial Robustness for Large-Scale Models. ICLR Chengzhi Mao, Scott Geng, Junfeng Yang, Xin Wang, Carl Vondrick
2023	A*	`conf`	What You Can Reconstruct from a Shadow. CVPR Ruoshi Liu, Sachit Menon, Chengzhi Mao, Dennis Park, Simon Stent, Carl Vondrick
2022	J	`jnl`	1st ICLR International Workshop on Privacy, Accountability, Interpretability, Robustness, Reasoning on Structured Data (PAIR^2Struct). CoRR Hao Wang, Wanyu Lin, Hao He, Di Wang, Chengzhi Mao, Muhan Zhang
2022	—	`conf`	A Tale of Two Models: Constructing Evasive Attacks on Edge Models. MLSys Wei Hao, Aahil Awatramani, Jiayang Hu, Chengzhi Mao, Pin-Chun Chen, Eyal Cidon, Asaf Cidon, Junfeng Yang
2022	J	`jnl`	A Tale of Two Models: Constructing Evasive Attacks on Edge Models. CoRR Wei Hao, Aahil Awatramani, Jiayang Hu, Chengzhi Mao, Pin-Chun Chen, Eyal Cidon, Asaf Cidon, Junfeng Yang
2022	J	`jnl`	Adversarially Robust Video Perception by Seeing Motion. CoRR Lingyu Zhang, Chengzhi Mao, Junfeng Yang, Carl Vondrick
2022	A*	`conf`	Causal Transportability for Visual Recognition. CVPR Chengzhi Mao, Kevin Xia, James Wang, Hao Wang, Junfeng Yang, Elias Bareinboim, Carl Vondrick
2022	J	`jnl`	Causal Transportability for Visual Recognition. CoRR Chengzhi Mao, Kevin Xia, James Wang, Hao Wang, Junfeng Yang, Elias Bareinboim, Carl Vondrick
2022	A*	`conf`	Discrete Representations Strengthen Vision Transformer Robustness. ICLR Chengzhi Mao, Lu Jiang, Mostafa Dehghani, Carl Vondrick, Rahul Sukthankar, Irfan Essa
2022	J	`jnl`	Doubly Right Object Recognition: A Why Prompt for Visual Rationales. CoRR Chengzhi Mao, Revant Teotia, Amrutha Sundar, Sachit Menon, Junfeng Yang, Xin Wang, Carl Vondrick
2022	J	`jnl`	Landscape Learning for Neural Network Inversion. CoRR Ruoshi Liu, Chengzhi Mao, Purva Tendulkar, Hao Wang, Carl Vondrick
2022	A*	`conf`	Real-Time Neural Voice Camouflage. ICLR Mia Chiquier, Chengzhi Mao, Carl Vondrick
2022	J	`jnl`	Robust Perception through Equivariance. CoRR Chengzhi Mao, Lingyu Zhang, Abhishek Vaibhav Joshi, Junfeng Yang, Hao Wang, Carl Vondrick
2022	J	`jnl`	Shadows Shed Light on 3D Objects. CoRR Ruoshi Liu, Sachit Menon, Chengzhi Mao, Dennis Park, Simon Stent, Carl Vondrick
2022	J	`jnl`	Understanding Zero-Shot Adversarial Robustness for Large-Scale Models. CoRR Chengzhi Mao, Scott Geng, Junfeng Yang, Xin Wang, Carl Vondrick
2022	J	`jnl`	Using Multiple Self-Supervised Tasks Improves Model Robustness. CoRR Matthew Lawhon, Chengzhi Mao, Junfeng Yang
2021	A*	`conf`	Adversarial Attacks are Reversible with Natural Supervision. ICCV Chengzhi Mao, Mia Chiquier, Hao Wang, Junfeng Yang, Carl Vondrick
2021	J	`jnl`	Adversarial Attacks are Reversible with Natural Supervision. CoRR Chengzhi Mao, Mia Chiquier, Hao Wang, Junfeng Yang, Carl Vondrick
2021	J	`jnl`	Discrete Representations Strengthen Vision Transformer Robustness. CoRR Chengzhi Mao, Lu Jiang, Mostafa Dehghani, Carl Vondrick, Rahul Sukthankar, Irfan Essa
2021	A*	`conf`	Generative Interventions for Causal Learning. CVPR Chengzhi Mao, Augustine Cha, Amogh Gupta, Hao Wang, Junfeng Yang, Carl Vondrick
2021	J	`jnl`	Real-Time Neural Voice Camouflage. CoRR Mia Chiquier, Chengzhi Mao, Carl Vondrick
2020	J	`jnl`	Generative Interventions for Causal Learning. CoRR Chengzhi Mao, Amogh Gupta, Augustine Cha, Hao Wang, Junfeng Yang, Carl Vondrick
2020	—	`conf`	Live Trojan Attacks on Deep Neural Networks. CVPR Workshops Robby Costales, Chengzhi Mao, Raphael Norwitz, Bryan Kim, Junfeng Yang
2020	J	`jnl`	Live Trojan Attacks on Deep Neural Networks. CoRR Robby Costales, Chengzhi Mao, Raphael Norwitz, Bryan Kim, Junfeng Yang
2020	—	`conf`	Multitask Learning Strengthens Adversarial Robustness. ECCV (2) Chengzhi Mao, Amogh Gupta, Vikram Nitin, Baishakhi Ray, Shuran Song, Junfeng Yang, Carl Vondrick
2020	J	`jnl`	Multitask Learning Strengthens Adversarial Robustness. CoRR Chengzhi Mao, Amogh Gupta, Vikram Nitin, Baishakhi Ray, Shuran Song, Junfeng Yang, Carl Vondrick
2019	A*	`conf`	Bidirectional Inference Networks: A Class of Deep Bayesian Networks for Health Profiling. AAAI Hao Wang, Chengzhi Mao, Hao He, Mingmin Zhao, Tommi S. Jaakkola, Dina Katabi
2019	J	`jnl`	Bidirectional Inference Networks: A Class of Deep Bayesian Networks for Health Profiling. CoRR Hao Wang, Chengzhi Mao, Hao He, Mingmin Zhao, Tommi S. Jaakkola, Dina Katabi
2019	A*	`conf`	Metric Learning for Adversarial Robustness. NeurIPS Chengzhi Mao, Ziyuan Zhong, Junfeng Yang, Carl Vondrick, Baishakhi Ray
2019	J	`jnl`	Metric Learning for Adversarial Robustness. CoRR Chengzhi Mao, Ziyuan Zhong, Junfeng Yang, Carl Vondrick, Baishakhi Ray
2019	J	`jnl`	Unrestricted Adversarial Attacks for Semantic Segmentation. CoRR Guangyu Shen, Chengzhi Mao, Junfeng Yang, Baishakhi Ray
2018	B	`conf`	A Probabilistic Learning Approach to UWB Ranging Error Mitigation. GLOBECOM Chengzhi Mao, Kangbo Lin, Tiancheng Yu, Yuan Shen
2016	B	`conf`	Deep self-organizing reservoir computing model for visual object recognition. IJCNN Zhidong Deng, Chengzhi Mao, Xiong Chen