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ORCIDShu Hu 0001
Person information
- affiliation: Purdue University, Department of Computer and Information Technology, ndianapolis, IN, USA
- affiliation (2022 - 2023): Carnegie Mellon University, Heinz College, Pittsburgh, PA, USA
- affiliation (PhD 2022): University at Buffalo, State University of New York, Department of Computer Science and Engineering, Buffalo, NY, USA
- affiliation: University at Albany, State University of New York, Albany, NY, USA
Other persons with the same name
- Shu Hu — disambiguation page
- Shu Hu 0002
![[0000-0002-4737-4291]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-4737-4291")
— Southwest Jiaotong University, School of Economics and Management, Chengdu, China
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2020 – today
- 2024
[j7]Shu Hu, George H. Chen:
Fairness in Survival Analysis with Distributionally Robust Optimization. J. Mach. Learn. Res. 25: 246:1-246:85 (2024)- [c31]Santosh, Li Lin, Irene Amerini, Xin Wang, Shu Hu:
Robust CLIP-Based Detector for Exposing Diffusion Model-Generated Images. AVSS 2024: 1-7 - [c30]Ruotong Sun, Fayang Liao, Jing He, Ying Liu, Wei Yi, Qinrui Fan, Shu Hu, Xin Wang, Jing Hu:
RepMedGraf: Re-parameterization Medical Generated Radiation Field for Improved 3D Image Reconstruction. AVSS 2024: 1-6 - [c29]Xiaogang Zhu, Tao Liu, Ziqiu Liu, Ouyang Shaobo, Xin Wang, Shu Hu, Feng Ding:
CGD-Net: A Hybrid End-to-end Network with gating decoding for Liver Tumor Segmentation from CT Images. AVSS 2024: 1-7 - [c28]Xiaogang Zhu, Zhihan Yan, Wenzhan Wang, Shu Hu, Xin Wang, Chunnian Liu:
QRNN-Transformer: Recognizing Textual Entailment. AVSS 2024: 1-7 - [c27]Li Lin, Xinan He, Yan Ju, Xin Wang, Feng Ding, Shu Hu:
Preserving Fairness Generalization in Deepfake Detection. CVPR 2024: 16815-16825 - [c26]Bing Fan, Shu Hu, Feng Ding:
Synthesizing Black-Box Anti-Forensics Deepfakes With High Visual Quality. ICASSP 2024: 4545-4549 - [c25]Tiewen Chen, Shanmin Yang, Shu Hu, Zhenghan Fang, Ying Fu, Xi Wu, Xin Wang:
Masked Conditional Diffusion Model for Enhancing Deepfake Detection. IJCNN 2024: 1-7 - [c24]Qinrui Fan, Chengxu Wu, Shu Hu, Xi Wu, Xin Wang, Jing Hu:
Efficient Image Super-Resolution via Symmetric Visual Attention Network. IJCNN 2024: 1-7 - [c23]Yicui Peng, Hao Chen, Chingsheng Lin, Guo Huang, Jinrong Hu, Hui Guo, Bin Kong, Shu Hu, Xi Wu, Xin Wang:
Uncertainty-Aware Explainable Recommendation with Large Language Models. IJCNN 2024: 1-8 - [c22]Lei Zhang, Hao Chen, Shu Hu, Bin Zhu, Chingsheng Lin, Xi Wu, Jinrong Hu, Xin Wang:
X-Transfer: A Transfer Learning-Based Framework for GAN-Generated Fake Image Detection. IJCNN 2024: 1-8 - [c21]Jing Hu, Qinrui Fan, Shu Hu, Siwei Lyu, Xi Wu, Xin Wang:
UMedNeRF: Uncertainty-Aware Single View Volumetric Rendering For Medical Neural Radiance Fields. ISBI 2024: 1-4 - [c20]Peng Huang, Shu Hu, Bo Peng, Jiashu Zhang, Xi Wu, Xin Wang:
Robustly Optimized Deep Feature Decoupling Network for Fatty Liver Diseases Detection. MICCAI (1) 2024: 68-78 - [c19]Yan Ju, Shu Hu, Shan Jia, George H. Chen, Siwei Lyu:
Improving Fairness in Deepfake Detection. WACV 2024: 4643-4653 - [i38]Chengxu Wu, Qinrui Fan, Shu Hu, Xi Wu, Xin Wang, Jing Hu:
Efficient Image Super-Resolution via Symmetric Visual Attention Network. CoRR abs/2401.08913 (2024) - [i37]Li Lin, Neeraj Gupta, Yue Zhang, Hainan Ren, Chun-Hao Liu, Feng Ding, Xin Wang, Xin Li, Luisa Verdoliva, Shu Hu:
Detecting Multimedia Generated by Large AI Models: A Survey. CoRR abs/2402.00045 (2024) - [i36]Tiewen Chen, Shanmin Yang, Shu Hu, Zhenghan Fang, Ying Fu, Xi Wu, Xin Wang:
Masked Conditional Diffusion Model for Enhancing Deepfake Detection. CoRR abs/2402.00541 (2024) - [i35]Yicui Peng, Hao Chen, Chingsheng Lin, Guo Huang, Jinrong Hu, Hui Guo, Bin Kong, Shu Hu, Xi Wu, Xin Wang:
Uncertainty-Aware Explainable Recommendation with Large Language Models. CoRR abs/2402.03366 (2024) - [i34]Li Lin, Xinan He, Yan Ju, Xin Wang, Feng Ding, Shu Hu:
Preserving Fairness Generalization in Deepfake Detection. CoRR abs/2402.17229 (2024) - [i33]Xin Wang, Shu Hu, Heng Fan, Hongtu Zhu, Xin Li:
Neural Radiance Fields in Medical Imaging: Challenges and Next Steps. CoRR abs/2402.17797 (2024) - [i32]Li Lin, Yamini Sri Krubha, Zhenhuan Yang, Cheng Ren, Thuc Duy Le, Irene Amerini, Xin Wang, Shu Hu:
Robust COVID-19 Detection in CT Images with CLIP. CoRR abs/2403.08947 (2024) - [i31]Li Lin, Sarah Papabathini, Xin Wang, Shu Hu:
Robust Light-Weight Facial Affective Behavior Recognition with CLIP. CoRR abs/2403.09915 (2024) - [i30]Xiaoqiong Liu, Yunhe Feng, Shu Hu, Xiaohui Yuan, Heng Fan:
Benchmarking the Robustness of UAV Tracking Against Common Corruptions. CoRR abs/2403.11424 (2024) - [i29]Santosh, Li Lin, Irene Amerini, Xin Wang, Shu Hu:
Robust CLIP-Based Detector for Exposing Diffusion Model-Generated Images. CoRR abs/2404.12908 (2024) - [i28]Li Lin, Santosh, Xin Wang, Shu Hu:
AI-Face: A Million-Scale Demographically Annotated AI-Generated Face Dataset and Fairness Benchmark. CoRR abs/2406.00783 (2024) - [i27]Peng Huang, Shu Hu, Bo Peng, Jiashu Zhang, Xi Wu, Xin Wang:
Robustly Optimized Deep Feature Decoupling Network for Fatty Liver Diseases Detection. CoRR abs/2406.17338 (2024) - [i26]Jingfu Yang, Peng Huang, Jing Hu, Shu Hu, Siwei Lyu, Xin Wang, Jun Guo, Xi Wu:
An Explainable Non-local Network for COVID-19 Diagnosis. CoRR abs/2408.04300 (2024) - [i25]Xin Wang, Xiaoyu Liu, Peng Huang, Pu Huang, Shu Hu, Hongtu Zhu:
U-MedSAM: Uncertainty-aware MedSAM for Medical Image Segmentation. CoRR abs/2408.08881 (2024) - 2023
- [j6]Jing Hu, Zhikun Shuai, Xin Wang, Shu Hu, Shanhui Sun, Siwei Lyu, Xi Wu:
Attention Guided Policy Optimization for 3D Medical Image Registration. IEEE Access 11: 65546-65558 (2023) - [j5]Shu Hu, Xin Wang, Siwei Lyu:
Rank-Based Decomposable Losses in Machine Learning: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 13599-13620 (2023) - [c18]Shu Hu, Zhenhuan Yang, Xin Wang, Yiming Ying, Siwei Lyu:
Outlier Robust Adversarial Training. ACML 2023: 454-469 - [c17]Hao Chen, Peng Zheng, Xin Wang, Shu Hu, Bin Zhu, Jinrong Hu, Xi Wu, Siwei Lyu:
Harnessing the Power of Text-image Contrastive Models for Automatic Detection of Online Misinformation. CVPR Workshops 2023: 923-932 - [c16]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:
NTIRE 2023 Challenge on Efficient Super-Resolution: Methods and Results. CVPR Workshops 2023: 1922-1960 - [c15]Xin Wang, Hui Guo, Shu Hu, Ming-Ching Chang, Siwei Lyu:
GAN-Generated Faces Detection: A Survey and New Perspectives. ECAI 2023: 2533-2542 - [c14]Chengming Feng, Jing Hu, Xin Wang, Shu Hu, Bin Zhu, Xi Wu, Hongtu Zhu, Siwei Lyu:
Controlling Neural Style Transfer with Deep Reinforcement Learning. IJCAI 2023: 100-108 - [c13]Yanfei Xiang, Xin Wang, Shu Hu, Bin Zhu, Xiaomeng Huang, Xi Wu, Siwei Lyu:
RMBench: Benchmarking Deep Reinforcement Learning for Robotic Manipulator Control. IROS 2023: 1207-1214 - [c12]Bing Fan, Zihan Jiang, Shu Hu, Feng Ding:
Attacking Identity Semantics in DeepFakes via Deep Feature Fusion. MIPR 2023: 114-119 - [i24]Yunxu Xie, Shu Hu, Xin Wang, Quanyu Liao, Bin Zhu, Xi Wu, Siwei Lyu:
Attacking Important Pixels for Anchor-free Detectors. CoRR abs/2301.11457 (2023) - [i23]Hao Chen, Peng Zheng, Xin Wang, Shu Hu, Bin Zhu, Jinrong Hu, Xi Wu, Siwei Lyu:
Harnessing the Power of Text-image Contrastive Models for Automatic Detection of Online Misinformation. CoRR abs/2304.10249 (2023) - [i22]Yan Ju, Shu Hu, Shan Jia, George H. Chen, Siwei Lyu:
Improving Fairness in Deepfake Detection. CoRR abs/2306.16635 (2023) - [i21]Shu Hu, Zhenhuan Yang, Xin Wang, Yiming Ying, Siwei Lyu:
Outlier Robust Adversarial Training. CoRR abs/2309.05145 (2023) - [i20]Xin Wang, Ziwei Luo, Jing Hu, Chengming Feng, Shu Hu, Bin Zhu, Xi Wu, Siwei Lyu:
Deep Reinforcement Learning for Image-to-Image Translation. CoRR abs/2309.13672 (2023) - [i19]Shanmin Yang, Shu Hu, Bin Zhu, Ying Fu, Siwei Lyu, Xi Wu, Xin Wang:
Improving Cross-dataset Deepfake Detection with Deep Information Decomposition. CoRR abs/2310.00359 (2023) - [i18]Chengming Feng, Jing Hu, Xin Wang, Shu Hu, Bin Zhu, Xi Wu, Hongtu Zhu, Siwei Lyu:
Controlling Neural Style Transfer with Deep Reinforcement Learning. CoRR abs/2310.00405 (2023) - [i17]Lei Zhang, Hao Chen, Shu Hu, Bin Zhu, Xi Wu, Jinrong Hu, Xin Wang:
X-Transfer: A Transfer Learning-Based Framework for Robust GAN-Generated Fake Image Detection. CoRR abs/2310.04639 (2023) - [i16]Jing Hu, Qinrui Fan, Shu Hu, Siwei Lyu, Xi Wu, Xin Wang:
UMedNeRF: Uncertainty-aware Single View Volumetric Rendering for Medical Neural Radiance Fields. CoRR abs/2311.05836 (2023) - [i15]Bing Fan, Shu Hu, Feng Ding:
Synthesizing Black-box Anti-forensics DeepFakes with High Visual Quality. CoRR abs/2312.10713 (2023) - 2022
- [j4]Hui Guo, Shu Hu, Xin Wang, Ming-Ching Chang, Siwei Lyu:
Robust Attentive Deep Neural Network for Detecting GAN-Generated Faces. IEEE Access 10: 32574-32583 (2022) - [j3]Chonghua Wang, Hao Zhou, Zhiqiang Hao, Shu Hu, Jun Li, Xueying Zhang, Bo Jiang, Xuehong Chen:
Network traffic analysis over clustering-based collective anomaly detection. Comput. Networks 205: 108760 (2022) - [j2]Shu Hu, Yiming Ying, Xin Wang, Siwei Lyu:
Sum of Ranked Range Loss for Supervised Learning. J. Mach. Learn. Res. 23: 112:1-112:44 (2022) - [j1]Wenbo Pu, Jing Hu, Xin Wang, Yuezun Li, Shu Hu, Bin Zhu, Rui Song, Qi Song, Xi Wu, Siwei Lyu:
Learning a deep dual-level network for robust DeepFake detection. Pattern Recognit. 130: 108832 (2022) - [c11]Ziwei Luo, Jing Hu, Xin Wang, Shu Hu, Bin Kong, Youbing Yin, Qi Song, Xi Wu, Siwei Lyu:
Stochastic Planner-Actor-Critic for Unsupervised Deformable Image Registration. AAAI 2022: 1917-1925 - [c10]Shu Hu, Chun-Hao Liu, Jayanta Dutta, Ming-Ching Chang, Siwei Lyu, Naveen Ramakrishnan:
PseudoProp: Robust Pseudo-Label Generation for Semi-Supervised Object Detection in Autonomous Driving Systems. CVPR Workshops 2022: 4389-4397 - [c9]Hui Guo, Shu Hu, Xin Wang, Ming-Ching Chang, Siwei Lyu:
Eyes Tell All: Irregular Pupil Shapes Reveal GAN-Generated Faces. ICASSP 2022: 2904-2908 - [c8]Dizhong Lin, Ying Fu, Xin Wang, Shu Hu, Bin Zhu, Qi Song, Xi Wu, Siwei Lyu:
Contrastive Class-Specific Encoding for Few-Shot Object Detection. ICME 2022: 1-6 - [c7]Hui Guo, Shu Hu, Xin Wang, Ming-Ching Chang, Siwei Lyu:
Open-Eye: An Open Platform to Study Human Performance on Identifying AI-Synthesized Faces. MIPR 2022: 224-227 - [c6]Shu Hu, George H. Chen:
Distributionally Robust Survival Analysis: A Novel Fairness Loss Without Demographics. ML4H@NeurIPS 2022: 62-87 - [c5]Zhenhuan Yang, Shu Hu, Yunwen Lei, Kush R. Varshney, Siwei Lyu, Yiming Ying:
Differentially private SGDA for minimax problems. UAI 2022: 2192-2202 - [i14]Zhenhuan Yang, Shu Hu, Yunwen Lei, Kush R. Varshney, Siwei Lyu, Yiming Ying:
Differentially Private SGDA for Minimax Problems. CoRR abs/2201.09046 (2022) - [i13]Xin Wang, Hui Guo, Shu Hu, Ming-Ching Chang, Siwei Lyu:
GAN-generated Faces Detection: A Survey and New Perspectives. CoRR abs/2202.07145 (2022) - [i12]Shu Hu, Chun-Hao Liu, Jayanta Dutta, Ming-Ching Chang, Siwei Lyu, Naveen Ramakrishnan:
PseudoProp: Robust Pseudo-Label Generation for Semi-Supervised Object Detection in Autonomous Driving Systems. CoRR abs/2203.05983 (2022) - [i11]Hui Guo, Shu Hu, Xin Wang, Ming-Ching Chang, Siwei Lyu:
Open-Eye: An Open Platform to Study Human Performance on Identifying AI-Synthesized Faces. CoRR abs/2205.06680 (2022) - [i10]Shu Hu, Xin Wang, Siwei Lyu:
Rank-based Decomposable Losses in Machine Learning: A Survey. CoRR abs/2207.08768 (2022) - [i9]Yanfei Xiang, Xin Wang, Shu Hu, Bin Zhu, Xiaomeng Huang, Xi Wu, Siwei Lyu:
RMBench: Benchmarking Deep Reinforcement Learning for Robotic Manipulator Control. CoRR abs/2210.11262 (2022) - [i8]Shu Hu, George H. Chen:
Distributionally Robust Survival Analysis: A Novel Fairness Loss Without Demographics. CoRR abs/2211.10508 (2022) - 2021
- [c4]Shu Hu, Yuezun Li, Siwei Lyu:
Exposing GAN-Generated Faces Using Inconsistent Corneal Specular Highlights. ICASSP 2021: 2500-2504 - [c3]Caiyong Wang, Yunlong Wang, Kunbo Zhang, Jawad Muhammad, Tianhao Lu, Qi Zhang, Qichuan Tian, Zhaofeng He, Zhenan Sun, Yiwen Zhang, Tianbao Liu, Wei Yang, Dongliang Wu, Yingfeng Liu, Ruiye Zhou, Huihai Wu, Hao Zhang, Junbao Wang, Jiayi Wang, Wantong Xiong, Xueyu Shi, Shao Zeng, Peihua Li, Haodong Sun, Jing Wang, Jiale Zhang, Qi Wang, Huijie Wu, Xinhui Zhang, Haiqing Li, Yu Chen, Liang Chen, Menghan Zhang, Ye Sun, Zhiyong Zhou, Fadi Boutros, Naser Damer, Arjan Kuijper, Juan E. Tapia, Andres Valenzuela, Christoph Busch, Gourav Gupta, Kiran B. Raja, Xi Wu, Xiaojie Li, Jingfu Yang, Hongyan Jing, Xin Wang, Bin Kong, Youbing Yin, Qi Song, Siwei Lyu, Shu Hu, Leon Premk, Matej Vitek, Vitomir Struc, Peter Peer, Jalil Nourmohammadi-Khiarak, Farhang Jaryani, Samaneh Salehi Nasab, Seyed Naeim Moafinejad, Yasin Amini, Morteza Noshad:
NIR Iris Challenge Evaluation in Non-cooperative Environments: Segmentation and Localization. IJCB 2021: 1-10 - [c2]Shu Hu, Lipeng Ke, Xin Wang, Siwei Lyu:
TkML-AP: Adversarial Attacks to Top-k Multi-Label Learning. ICCV 2021: 7629-7637 - [i7]Shu Hu, Yiming Ying, Xin Wang, Siwei Lyu:
Sum of Ranked Range Loss for Supervised Learning. CoRR abs/2106.03300 (2021) - [i6]Shu Hu, Lipeng Ke, Xin Wang, Siwei Lyu:
TkML-AP: Adversarial Attacks to Top-k Multi-Label Learning. CoRR abs/2108.00146 (2021) - [i5]Hui Guo, Shu Hu, Xin Wang, Ming-Ching Chang, Siwei Lyu:
Eyes Tell All: Irregular Pupil Shapes Reveal GAN-generated Faces. CoRR abs/2109.00162 (2021) - [i4]Hui Guo, Shu Hu, Xin Wang, Ming-Ching Chang, Siwei Lyu:
Robust Attentive Deep Neural Network for Exposing GAN-generated Faces. CoRR abs/2109.02167 (2021) - [i3]Ziwei Luo, Jing Hu, Xin Wang, Shu Hu, Bin Kong, Youbing Yin, Qi Song, Xi Wu, Siwei Lyu:
Stochastic Planner-Actor-Critic for Unsupervised Deformable Image Registration. CoRR abs/2112.07415 (2021) - 2020
- [c1]Shu Hu, Yiming Ying, Xin Wang, Siwei Lyu:
Learning by Minimizing the Sum of Ranked Range. NeurIPS 2020 - [i2]Shu Hu, Yuezun Li, Siwei Lyu:
Exposing GAN-generated Faces Using Inconsistent Corneal Specular Highlights. CoRR abs/2009.11924 (2020) - [i1]Shu Hu, Yiming Ying, Xin Wang, Siwei Lyu:
Learning by Minimizing the Sum of Ranked Range. CoRR abs/2010.01741 (2020)
Coauthor Index
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