Shu Hu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
36
Venues
17
Active years
2019–2025
Best venue rank
A*
Where they publish
Papers
36 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | AAAI | Improving Generalization for AI-Synthesized Voice Detection. | Hainan Ren, Li Lin, Chun-Hao Liu, Xin Wang, Shu Hu |
| 2025 | CVPR | AI-Face: A Million-Scale Demographically Annotated AI-Generated Face Dataset and Fairness Benchmark. | Li Lin, Santosh Santosh, Mingyang Wu, Xin Wang, Shu Hu |
| 2025 | ICML | Preserving AUC Fairness in Learning with Noisy Protected Groups. | Mingyang Wu, Li Lin, Wenbin Zhang, Xin Wang, Zhenhuan Yang, Shu Hu |
| 2025 | IJCAI | 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 |
| 2025 | IJCAI | Towards Fairness with Limited Demographics via Disentangled Learning. | Zichong Wang, Anqi Wu, Nuno Moniz, Shu Hu, Bart P. Knijnenburg, Xingquan Zhu, Wenbin Zhang |
| 2025 | IJCNN | Improving Generalization of Medical Image Registration Foundation Model. | Jing Hu, Kaiwei Yu, Hongjiang Xian, Shu Hu, Xin Wang |
| 2025 | IJCNN | LLM-MedQA: Enhancing Medical Question Answering through Case Studies in Large Language Models. | Hang Yang, Hao Chen, Hui Guo, Yineng Chen, Chingsheng Lin, Shu Hu, Jinrong Hu, Xi Wu, Xin Wang |
| 2025 | MASS | Robust Deepfake Detection via Synthetic Domain Alignment. | Ian Yee, Alan Huang, Shu Hu |
| 2024 | AVSS | Enhancing Vehicle Re-identification and Matching for Weaving Analysis. | Mei Qiu, Wei Lin, Stanley Y. P. Chien, Lauren A. Christopher, Yaobin Chen, Shu Hu |
| 2024 | AVSS | Robust CLIP-Based Detector for Exposing Diffusion Model-Generated Images. | Santosh, Li Lin, Irene Amerini, Xin Wang, Shu Hu |
| 2024 | AVSS | RepMedGraf: Re-parameterization Medical Generated Radiation Field for Improved 3D Image Reconstruction. | Ruotong Sun, Fayang Liao, Jing He, Ying Liu, Wei Yi, Qinrui Fan, Shu Hu, Xin Wang, Jing Hu |
| 2024 | AVSS | CGD-Net: A Hybrid End-to-end Network with gating decoding for Liver Tumor Segmentation from CT Images. | Xiaogang Zhu, Tao Liu, Ziqiu Liu, Ouyang Shaobo, Xin Wang, Shu Hu, Feng Ding |
| 2024 | AVSS | QRNN-Transformer: Recognizing Textual Entailment. | Xiaogang Zhu, Zhihan Yan, Wenzhan Wang, Shu Hu, Xin Wang, Chunnian Liu |
| 2024 | CVPR | Preserving Fairness Generalization in Deepfake Detection. | Li Lin, Xinan He, Yan Ju, Xin Wang, Feng Ding, Shu Hu |
| 2024 | CVPR | U-MedSAM: Uncertainty-Aware MedSAM for Medical Image Segmentation. | Xin Wang, Xiaoyu Liu, Peng Huang, Pu Huang, Shu Hu, Hongtu Zhu |
| 2024 | ICASSP | Synthesizing Black-Box Anti-Forensics Deepfakes With High Visual Quality. | Bing Fan, Shu Hu, Feng Ding |
| 2024 | IJCNN | Masked Conditional Diffusion Model for Enhancing Deepfake Detection. | Tiewen Chen, Shanmin Yang, Shu Hu, Zhenghan Fang, Ying Fu, Xi Wu, Xin Wang |
| 2024 | IJCNN | Efficient Image Super-Resolution via Symmetric Visual Attention Network. | Qinrui Fan, Chengxu Wu, Shu Hu, Xi Wu, Xin Wang, Jing Hu |
| 2024 | IJCNN | Uncertainty-Aware Explainable Recommendation with Large Language Models. | Yicui Peng, Hao Chen, Chingsheng Lin, Guo Huang, Jinrong Hu, Hui Guo, Bin Kong, Shu Hu, Xi Wu, Xin Wang |
| 2024 | IJCNN | X-Transfer: A Transfer Learning-Based Framework for GAN-Generated Fake Image Detection. | Lei Zhang, Hao Chen, Shu Hu, Bin Zhu, Chingsheng Lin, Xi Wu, Jinrong Hu, Xin Wang |
| 2024 | MICCAI | Robustly Optimized Deep Feature Decoupling Network for Fatty Liver Diseases Detection. | Peng Huang, Shu Hu, Bo Peng, Jiashu Zhang, Xi Wu, Xin Wang |
| 2024 | WACV | Improving Fairness in Deepfake Detection. | Yan Ju, Shu Hu, Shan Jia, George H. Chen, Siwei Lyu |
| 2023 | ACML | Outlier Robust Adversarial Training. | Shu Hu, Zhenhuan Yang, Xin Wang, Yiming Ying, Siwei Lyu |
| 2023 | CVPR | 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 |
| 2023 | CVPR | 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 |
| 2023 | ECAI | GAN-Generated Faces Detection: A Survey and New Perspectives. | Xin Wang, Hui Guo, Shu Hu, Ming-Ching Chang, Siwei Lyu |
| 2023 | IJCAI | Controlling Neural Style Transfer with Deep Reinforcement Learning. | Chengming Feng, Jing Hu, Xin Wang, Shu Hu, Bin Zhu, Xi Wu, Hongtu Zhu, Siwei Lyu |
| 2023 | IROS | RMBench: Benchmarking Deep Reinforcement Learning for Robotic Manipulator Control. | Yanfei Xiang, Xin Wang, Shu Hu, Bin Zhu, Xiaomeng Huang, Xi Wu, Siwei Lyu |
| 2022 | AAAI | 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 |
| 2022 | CVPR | 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 |
| 2022 | HPCC | A reinforcement learning framework based on regret minimization for approximating best response in fictitious self-play. | Yanran Xu, Kangxin He, Shu Hu, Hui Li |
| 2022 | ICASSP | Eyes Tell All: Irregular Pupil Shapes Reveal GAN-Generated Faces. | Hui Guo, Shu Hu, Xin Wang, Ming-Ching Chang, Siwei Lyu |
| 2022 | UAI | Differentially private SGDA for minimax problems. | Zhenhuan Yang, Shu Hu, Yunwen Lei, Kush R. Varshney, Siwei Lyu, Yiming Ying |
| 2021 | ICASSP | Exposing GAN-Generated Faces Using Inconsistent Corneal Specular Highlights. | Shu Hu, Yuezun Li, Siwei Lyu |
| 2021 | ICCV | TkML-AP: Adversarial Attacks to Top-k Multi-Label Learning. | Shu Hu, Lipeng Ke, Xin Wang, Siwei Lyu |
| 2019 | FUSION | Uncertainty-based Decision Making Using Deep Reinforcement Learning. | Xujiang Zhao, Shu Hu, Jin-Hee Cho, Feng Chen |