Yang, Junfeng

29 publications

ICML 2025 EditLord: Learning Code Transformation Rules for Code Editing Weichen Li, Albert Jan, Baishakhi Ray, Junfeng Yang, Chengzhi Mao, Kexin Pei

ICML 2025 Efficient Curvature-Aware Hypergradient Approximation for Bilevel Optimization Youran Dong, Junfeng Yang, Wei Yao, Jin Zhang

ICLR 2025 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

CVPRW 2025 NTIRE 2025 Challenge on Text to Image Generation Model Quality Assessment Shuhao Han, Haotian Fan, Fangyuan Kong, Wenjie Liao, Chunle Guo, Chongyi Li, Radu Timofte, Liang Li, Tao Li, Junhui Cui, Yunqiu Wang, Yang Tai, Jingwei Sun, Jianhui Sun, Xinli Yue, Tianyi Wang, Huan Hou, Junda Lu, Xinyang Huang, Zitang Zhou, Zijian Zhang, Xuhui Zheng, Xuecheng Wu, Chong Peng, Xuezhi Cao, Trong-Hieu Nguyen-Mau, Minh-Hoang Le, Minh-Khoa Le-Phan, Duy-Nam Ly, Hai-Dang Nguyen, Minh-Triet Tran, Yukang Lin, Yan Hong, Chuanbiao Song, Siyuan Li, Jun Lan, Zhichao Zhang, Xinyue Li, Wei Sun, Zicheng Zhang, Yunhao Li, Xiaohong Liu, Guangtao Zhai, Zitong Xu, Huiyu Duan, Jiarui Wang, Guangji Ma, Liu Yang, Lu Liu, Qiang Hu, Xiongkuo Min, Zichuan Wang, Zhenchen Tang, Bo Peng, Jing Dong, Fengbin Guan, Zihao Yu, Yiting Lu, Wei Luo, Xin Li, Minhao Lin, Haofeng Chen, Xuanxuan He, Kele Xu, Qisheng Xu, Zijian Gao, Tianjiao Wan, Bo-Cheng Qiu, Chih-Chung Hsu, Chia-Ming Lee, Yu-Fan Lin, Bo Yu, Zehao Wang, Da Mu, Mingxiu Chen, Junkang Fang, Huamei Sun, Wending Zhao, Zhiyu Wang, Wang Liu, Weikang Yu, Puhong Duan, Bin Sun, Xudong Kang, Shutao Li, Shuai He, Lingzhi Fu, Heng Cong, Rongyu Zhang, Jiarong He, Zhishan Qiao, Yongqing Huang, Zewen Chen, Zhe Pang, Juan Wang, Jian Guo, Zhizhuo Shao, Ziyu Feng, Bing Li, Weiming Hu, Hesong Li, Dehua Liu, Zeming Liu, Qingsong Xie, Ruichen Wang, Zhihao Li, Yuqi Liang, Jianqi Bi, Jun Luo, Junfeng Yang, Can Li, Jing Fu, Hongwei Xu, Mingrui Long, Lulin Tang

ICML 2024 Exploiting Code Symmetries for Learning Program Semantics Kexin Pei, Weichen Li, Qirui Jin, Shuyang Liu, Scott Geng, Lorenzo Cavallaro, Junfeng Yang, Suman Jana

CVPR 2024 GDA: Generalized Diffusion for Robust Test-Time Adaptation Yun-Yun Tsai, Fu-Chen Chen, Albert Y. C. Chen, Junfeng Yang, Che-Chun Su, Min Sun, Cheng-Hao Kuo

ICLR 2024 INViTE: INterpret and Control Vision-Language Models with Text Explanations Haozhe Chen, Junfeng Yang, Carl Vondrick, Chengzhi Mao

ICML 2024 MGit: A Model Versioning and Management System Wei Hao, Daniel Mendoza, Rafael Mendes, Deepak Narayanan, Amar Phanishayee, Asaf Cidon, Junfeng Yang

CVPRW 2024 MoE-AGIQA: Mixture-of-Experts Boosted Visual Perception-Driven and Semantic-Aware Quality Assessment for AI-Generated Images Junfeng Yang, Jing Fu, Wei Zhang, Wenzhi Cao, Limei Liu, Han Peng

CVPRW 2024 NTIRE 2024 Quality Assessment of AI-Generated Content Challenge Xiaohong Liu, Xiongkuo Min, Guangtao Zhai, Chunyi Li, Tengchuan Kou, Wei Sun, Haoning Wu, Yixuan Gao, Yuqin Cao, Zicheng Zhang, Xiele Wu, Radu Timofte, Fei Peng, Huiyuan Fu, Anlong Ming, Chuanming Wang, Huadong Ma, Shuai He, Zifei Dou, Shu Chen, Huacong Zhang, Haiyi Xie, Chengwei Wang, Baoying Chen, Jishen Zeng, Jianquan Yang, Weigang Wang, Xi Fang, Xiaoxin Lv, Jun Yan, Tianwu Zhi, Yabin Zhang, Yaohui Li, Yang Li, Jingwen Xu, Jianzhao Liu, Yiting Liao, Junlin Li, Zihao Yu, Fengbin Guan, Yiting Lu, Xin Li, Hossein Motamednia, S. Farhad Hosseini-Benvidi, Ahmad Mahmoudi-Aznaveh, Azadeh Mansouri, Ganzorig Gankhuyag, Kihwan Yoon, Yifang Xu, Haotian Fan, Fangyuan Kong, Shiling Zhao, Weifeng Dong, Haibing Yin, Li Zhu, Zhiling Wang, Bingchen Huang, Avinab Saha, Sandeep Mishra, Shashank Gupta, Rajesh Sureddi, Oindrila Saha, Luigi Celona, Simone Bianco, Paolo Napoletano, Raimondo Schettini, Junfeng Yang, Jing Fu, Wei Zhang, Wenzhi Cao, Limei Liu, Han Peng, Weijun Yuan, Zhan Li, Yihang Cheng, Yifan Deng, Haohui Li, Bowen Qu, Yao Li, Shuqing Luo, Shunzhou Wang, Wei Gao, Zihao Lu, Marcos V. Conde, Xinrui Wang, Zhibo Chen, Ruling Liao, Yan Ye, Qiulin Wang, Bing Li, Zhaokun Zhou, Miao Geng, Rui Chen, Xin Tao, Xiaoyu Liang, Shangkun Sun, Xingyuan Ma, Jiaze Li, Mengduo Yang, Haoran Xu, Jie Zhou, Shiding Zhu, Bohan Yu, Pengfei Chen, Xinrui Xu, Jiabin Shen, Zhichao Duan, Erfan Asadi, Jiahe Liu, Qi Yan, Youran Qu, Xiaohui Zeng, Lele Wang, Renjie Liao

ICLR 2024 Raidar: geneRative AI Detection via Rewriting Chengzhi Mao, Carl Vondrick, Hao Wang, Junfeng Yang

NeurIPS 2024 SemCoder: Training Code Language Models with Comprehensive Semantics Reasoning Yangruibo Ding, Jinjun Peng, Marcus J. Min, Gail Kaiser, Junfeng Yang, Baishakhi Ray

AAAI 2024 Towards a Theoretical Understanding of Why Local Search Works for Clustering with Fair-Center Representation Zhen Zhang, Junfeng Yang, Limei Liu, Xuesong Xu, Guozhen Rong, Qilong Feng

NeurIPS 2024 kGym: A Platform and Dataset to Benchmark Large Language Models on Linux Kernel Crash Resolution Alex Mathai, Chenxi Huang, Petros Maniatis, Aleksandr Nogikh, Franjo Ivančić, Junfeng Yang, Baishakhi Ray

NeurIPS 2023 Convolutional Visual Prompt for Robust Visual Perception Yun-Yun Tsai, Chengzhi Mao, Junfeng Yang

CVPR 2023 Doubly Right Object Recognition: A Why Prompt for Visual Rationales Chengzhi Mao, Revant Teotia, Amrutha Sundar, Sachit Menon, Junfeng Yang, Xin Wang, Carl Vondrick

ICML 2023 Robust Perception Through Equivariance Chengzhi Mao, Lingyu Zhang, Abhishek Vaibhav Joshi, Junfeng Yang, Hao Wang, Carl Vondrick

ICLRW 2023 Robustifying Language Models with Test-Time Adaptation Noah Thomas McDermott, Junfeng Yang, Chengzhi Mao

ICLR 2023 Understanding Zero-Shot Adversarial Robustness for Large-Scale Models Chengzhi Mao, Scott Geng, Junfeng Yang, Xin Wang, Carl Vondrick

CVPR 2022 Causal Transportability for Visual Recognition Chengzhi Mao, Kevin Xia, James Wang, Hao Wang, Junfeng Yang, Elias Bareinboim, Carl Vondrick

ICLRW 2022 Using Mutliple Self-Supervised Tasks Improves Model Robustness Matthew Lawhon, Chengzhi Mao, Junfeng Yang

ICCV 2021 Adversarial Attacks Are Reversible with Natural Supervision Chengzhi Mao, Mia Chiquier, Hao Wang, Junfeng Yang, Carl Vondrick

CVPR 2021 Generative Interventions for Causal Learning Chengzhi Mao, Augustine Cha, Amogh Gupta, Hao Wang, Junfeng Yang, Carl Vondrick

CVPRW 2020 Live Trojan Attacks on Deep Neural Networks Robby Costales, Chengzhi Mao, Raphael Norwitz, Bryan Kim, Junfeng Yang

ECCV 2020 Multitask Learning Strengthens Adversarial Robustness Chengzhi Mao, Amogh Gupta, Vikram Nitin, Baishakhi Ray, Shuran Song, Junfeng Yang, Carl Vondrick

ECCVW 2020 What Does CNN Shift Invariance Look like? a Visualization Study Jake Lee, Junfeng Yang, Zhangyang Wang

NeurIPS 2019 Metric Learning for Adversarial Robustness Chengzhi Mao, Ziyuan Zhong, Junfeng Yang, Carl Vondrick, Baishakhi Ray

NeurIPS 2018 Efficient Formal Safety Analysis of Neural Networks Shiqi Wang, Kexin Pei, Justin Whitehouse, Junfeng Yang, Suman Jana

ICCV 2017 PanNet: A Deep Network Architecture for Pan-Sharpening Junfeng Yang, Xueyang Fu, Yuwen Hu, Yue Huang, Xinghao Ding, John Paisley