Hu, Shu

20 publications

CVPR 2025 AI-Face: A Million-Scale Demographically Annotated AI-Generated Face Dataset and Fairness Benchmark Li Lin, Santosh Santosh, Mingyang Wu, Xin Wang, Shu Hu

AAAI 2025 Improving Generalization for AI-Synthesized Voice Detection Hainan Ren, Li Lin, Chun-Hao Liu, Xin Wang, Shu Hu

ICML 2025 Preserving AUC Fairness in Learning with Noisy Protected Groups Mingyang Wu, Li Lin, Wenbin Zhang, Xin Wang, Zhenhuan Yang, Shu Hu

IJCAI 2025 RLMiniStyler: Light-Weight RL Style Agent for Arbitrary Sequential Neural Style Generation Jing Hu, Chengming Feng, Shu Hu, Ming-Ching Chang, Xin Li, Xi Wu, Xin Wang

ECML-PKDD 2025 Redefining Fairness: A Multi-Dimensional Perspective and Integrated Evaluation Framework Zichong Wang, Zhipeng Yin, Zhen Liu, Roland H. C. Yap, Xiaocai Zhang, Shu Hu, Wenbin Zhang

IJCAI 2025 Towards Fairness with Limited Demographics via Disentangled Learning Zichong Wang, Anqi Wu, Nuno Moniz, Shu Hu, Bart P. Knijnenburg, Xingquan Zhu, Wenbin Zhang

JMLR 2024 Fairness in Survival Analysis with Distributionally Robust Optimization Shu Hu, George H. Chen

WACV 2024 Improving Fairness in Deepfake Detection Yan Ju, Shu Hu, Shan Jia, George H. Chen, Siwei Lyu

CVPR 2024 Preserving Fairness Generalization in Deepfake Detection Li Lin, Xinan He, Yan Ju, Xin Wang, Feng Ding, Shu Hu

IJCAI 2023 Controlling Neural Style Transfer with Deep Reinforcement Learning Chengming Feng, Jing Hu, Xin Wang, Shu Hu, Bin Zhu, Xi Wu, Hongtu Zhu, Siwei Lyu

CVPRW 2023 Harnessing the Power of Text-Image Contrastive Models for Automatic Detection of Online Misinformation Hao Chen, Peng Zheng, Xin Wang, Shu Hu, Bin Zhu, Jinrong Hu, Xi Wu, Siwei Lyu

CVPRW 2023 NTIRE 2023 Challenge on Efficient Super-Resolution: Methods and Results Yawei Li, Yulun Zhang, Radu Timofte, Luc Van Gool, Lei Yu, Youwei Li, Xinpeng Li, Ting Jiang, Qi Wu, Mingyan Han, Wenjie Lin, Chengzhi Jiang, Jinting Luo, Haoqiang Fan, Shuaicheng Liu, Yucong Wang, Minjie Cai, Mingxi Li, Yuhang Zhang, Xianjun Fan, Yankai Sheng, Yanyu Mao, Nihao Zhang, Qian Wang, Mingjun Zheng, Long Sun, Jinshan Pan, Jiangxin Dong, Jinhui Tang, Zhongbao Yang, Yan Wang, Erlin Pan, Qixuan Cai, Xinan Dai, Magauiya Zhussip, Nikolay Kalyazin, Dmitry Vyal, Xueyi Zou, Youliang Yan, Heaseo Chung, Jin Zhang, Gaocheng Yu, Feng Zhang, Hongbin Wang, Bohao Liao, Zhibo Du, Yu-Liang Wu, Gege Shi, Long Peng, Yang Wang, Yang Cao, Zhengjun Zha, Zhi-Kai Huang, Yi-Chung Chen, Yuan-Chun Chiang, Hao-Hsiang Yang, Wei-Ting Chen, Hua-En Chang, I-Hsiang Chen, Chia-Hsuan Hsieh, Sy-Yen Kuo, Xin Liu, Jiahao Pan, Hongyuan Yu, Weichen Yu, Lin Ge, Jiahua Dong, Yajun Zou, Zhuoyuan Wu, Binnan Han, Xiaolin Zhang, Heng Zhang, Xuanwu Yin, Kunlong Zuo, Weijian Deng, Hongjie Yuan, Zengtong Lu, Mingyu Ouyang, Wenzhuo Ma, Nian Liu, Hanyou Zheng, Yuantong Zhang, Junxi Zhang, Zhenzhong Chen, Garas Gendy, Nabil Sabor, Jingchao Hou, Guanghui He, Yurui Zhu, Xi Wang, Xueyang Fu, Zheng-Jun Zha, Daheng Yin, Mengyang Liu, Baijun Chen, Ao Li, Lei Luo, Kangjun Jin, Ce Zhu, Xiaoming Zhang, Chengxing Xie, Linze Li, Haiteng Meng, Tianlin Zhang, Tianrui Li, Xiaole Zhao, Zhao Zhang, Baiang Li, Huan Zheng, Suiyi Zhao, Yangcheng Gao, Jiahuan Ren, Kang Hu, Jingpeng Shi, Zhijian Wu, Dingjiang Huang, Jinchen Zhu, Hui Li, Qianru Xv, Tianle Liu, Gang Wu, Junpeng Jiang, Xianming Liu, Junjun Jiang, Mingjian Zhang, Shizhuang Weng, Jing Hu, Chengxu Wu, Qinrui Fan, Chengming Feng, Ziwei Luo, Shu Hu, Siwei Lyu, Xi Wu, Xin Wang

ACML 2023 Outlier Robust Adversarial Training Shu Hu, Zhenhuan Yang, Xin Wang, Yiming Ying, Siwei Lyu

UAI 2022 Differentially Private SGDA for Minimax Problems Zhenhuan Yang, Shu Hu, Yunwen Lei, Kush R Vashney, Siwei Lyu, Yiming Ying

CVPRW 2022 PseudoProp: Robust Pseudo-Label Generation for Semi-Supervised Object Detection in Autonomous Driving Systems Shu Hu, Chun-Hao Liu, Jayanta Dutta, Ming-Ching Chang, Siwei Lyu, Naveen Ramakrishnan

AAAI 2022 Stochastic Planner-Actor-Critic for Unsupervised Deformable Image Registration Ziwei Luo, Jing Hu, Xin Wang, Shu Hu, Bin Kong, Youbing Yin, Qi Song, Xi Wu, Siwei Lyu

JMLR 2022 Sum of Ranked Range Loss for Supervised Learning Shu Hu, Yiming Ying, Xin Wang, Siwei Lyu

ICCV 2021 TkML-AP: Adversarial Attacks to Top-K Multi-Label Learning Shu Hu, Lipeng Ke, Xin Wang, Siwei Lyu

NeurIPS 2020 Learning by Minimizing the Sum of Ranked Range Shu Hu, Yiming Ying, Xin Wang, Siwei Lyu

NeurIPS 2020 Uncertainty Aware Semi-Supervised Learning on Graph Data Xujiang Zhao, Feng Chen, Shu Hu, Jin-Hee Cho