Shu Hu

123 papers A* 10A 5B 13C 1Misc 3Journal 74Unranked 17
YearRankTypeTitle / Venue / Authors
2026 J jnl
Exploring the Potential of Class-Specific Encoding for Few-Shot Object Detection.
IEEE Trans. Emerg. Top. Comput. Intell.
Wei Zhou, Zongling Li, Shu Hu, Shanmin Yang, Tao Wu, Siwei Lyu, Ying Fu, Xi Wu, Xin Wang
2026 J jnl
RL-I2IT: Image-to-image translation with deep reinforcement learning.
Neural Networks
Jing Hu, Ziwei Luo, Chengming Feng, Shu Hu, Bin Zhu, Xi Wu, Xin Li, Hongtu Zhu, Siwei Lyu, Xin Wang
2025 J jnl
A self-learning multimodal approach for fake news detection.
Frontiers Artif. Intell.
Hao Chen, Yue Yu, Hui Guo, Baochen Hu, Shu Hu, Jinrong Hu, Siwei Lyu, Xi Wu, Chingsheng Lin, Xin Wang
2025 J jnl
CrossDF: improving cross-domain deepfake detection with deep information decomposition.
Frontiers Big Data
Shanmin Yang, Hui Guo, Shu Hu, Bin B. Zhu, Ying Fu, Siwei Lyu, Xi Wu, Xin Wang
2025 J jnl
Diffusion-empowered AutoPrompt MedSAM.
CoRR
Peng Huang, Shu Hu, Bo Peng, Jiashu Zhang, Hongtu Zhu, Xi Wu, Xin Wang
2025 J jnl
Fairness-Aware Deepfake Detection: Leveraging Dual-Mechanism Optimization.
CoRR
Feng Ding, Wenhui Yi, Yunpeng Zhou, Xinan He, Hong Rao, Shu Hu
2025 J jnl
Fit for Purpose? Deepfake Detection in the Real World.
CoRR
Guangyu Lin, Li Lin, Christina P. Walker, Daniel S. Schiff, Shu Hu
2025 A* conf
Improving Generalization for AI-Synthesized Voice Detection.
AAAI
Hainan Ren, Li Lin, Chun-Hao Liu, Xin Wang, Shu Hu
2025 B conf
Improving Generalization of Medical Image Registration Foundation Model.
IJCNN
Jing Hu, Kaiwei Yu, Hongjiang Xian, Shu Hu, Xin Wang
2025 J jnl
Improving Generalization of Medical Image Registration Foundation Model.
CoRR
Jing Hu, Kaiwei Yu, Hongjiang Xian, Shu Hu, Xin Wang
2025 B conf
LLM-MedQA: Enhancing Medical Question Answering through Case Studies in Large Language Models.
IJCNN
Hang Yang, Hao Chen, Hui Guo, Yineng Chen, Chingsheng Lin, Shu Hu, Jinrong Hu, Xi Wu, Xin Wang
2025 J jnl
LLM-MedQA: Enhancing Medical Question Answering through Case Studies in Large Language Models.
CoRR
Hang Yang, Hao Chen, Hui Guo, Yineng Chen, Chingsheng Lin, Shu Hu, Jinrong Hu, Xi Wu, Xin Wang
2025 — conf
Lane-Wise Highway Anomaly Detection.
ITSC
Mei Qiu, William Lorenz Reindl, Yaobin Chen, Stanley Y. P. Chien, Nathan Shellhamer, Dan McCoy, Shu Hu
2025 J jnl
Lane-Wise Highway Anomaly Detection.
CoRR
Mei Qiu, William Lorenz Reindl, Yaobin Chen, Stanley Y. P. Chien, Shu Hu
2025 J jnl
MedChat: A Multi-Agent Framework for Multimodal Diagnosis with Large Language Models.
CoRR
Philip R. Liu, Sparsh Bansal, Jimmy Dinh, Aditya Pawar, Ramani Satishkumar, Shail Desai, Neeraj Gupta, Xin Wang, Shu Hu
2025 A* conf
Preserving AUC Fairness in Learning with Noisy Protected Groups.
ICML
Mingyang Wu, Li Lin, Wenbin Zhang, Xin Wang, Zhenhuan Yang, Shu Hu
2025 J jnl
Preserving AUC Fairness in Learning with Noisy Protected Groups.
CoRR
Mingyang Wu, Li Lin, Wenbin Zhang, Xin Wang, Zhenhuan Yang, Shu Hu
2025 A* conf
RLMiniStyler: Light-weight RL Style Agent for Arbitrary Sequential Neural Style Generation.
IJCAI
Jing Hu, Chengming Feng, Shu Hu, Ming-Ching Chang, Xin Li, Xi Wu, Xin Wang
2025 J jnl
RLMiniStyler: Light-weight RL Style Agent for Arbitrary Sequential Neural Style Generation.
CoRR
Jing Hu, Chengming Feng, Shu Hu, Ming-Ching Chang, Xin Li, Xi Wu, Xin Wang
2025 — conf
Redefining Fairness: A Multi-dimensional Perspective and Integrated Evaluation Framework.
ECML/PKDD (1)
Zichong Wang, Zhipeng Yin, Zhen Liu, Roland H. C. Yap, Xiaocai Zhang, Shu Hu, Wenbin Zhang
2025 A* conf
Rethinking Individual Fairness in Deepfake Detection.
ACM Multimedia
Aryana Hou, Li Lin, Justin Li, Shu Hu
2025 J jnl
Rethinking Individual Fairness in Deepfake Detection.
CoRR
Aryana Hou, Li Lin, Justin Li, Shu Hu
2025 J jnl
Robust AI-Generated Face Detection with Imbalanced Data.
CoRR
Yamini Sri Krubha, Aryana Hou, Braden Vester, Web Walker, Xin Wang, Li Lin, Shu Hu
2025 J jnl
Spotting the Fakes: A Deep Dive into GAN-Generated Face Detection.
ACM Trans. Multim. Comput. Commun. Appl.
Xin Wang, Ting Yu Tsai, Li Lin, Hui Guo, Shu Hu, Ming-Ching Chang, Pradeep K. Atrey, Siwei Lyu
2025 J jnl
Teacher Encoder-Student Decoder Denoising Guided Segmentation Network for Anomaly Detection.
CoRR
Shixuan Song, Hao Chen, Shu Hu, Xin Wang, Jinrong Hu, Xi Wu
2025 A* conf
Towards Fairness with Limited Demographics via Disentangled Learning.
IJCAI
Zichong Wang, Anqi Wu, Nuno Moniz, Shu Hu, Bart P. Knijnenburg, Xingquan Zhu, Wenbin Zhang
2025 J jnl
VB-KGN: Variational Bayesian Kernel Generation Networks for Motion Image Deblurring.
IEEE Trans. Multim.
Ying Fu, Xinyu Zhu, Xiaojie Li, Xin Wang, Xi Wu, Shu Hu, Yi Wu, Siwei Lyu, Wei Liu
2024 J jnl
A Self-Learning Multimodal Approach for Fake News Detection.
CoRR
Hao Chen, Hui Guo, Baochen Hu, Shu Hu, Jinrong Hu, Siwei Lyu, Xi Wu, Xin Wang
2024 J jnl
AI-Face: A Million-Scale Demographically Annotated AI-Generated Face Dataset and Fairness Benchmark.
CoRR
Li Lin, Santosh, Xin Wang, Shu Hu
2024 J jnl
An Explainable Non-local Network for COVID-19 Diagnosis.
CoRR
Jingfu Yang, Peng Huang, Jing Hu, Shu Hu, Siwei Lyu, Xin Wang, Jun Guo, Xi Wu
2024 — conf
Benchmarking the Robustness of UAV Tracking Against Common Corruptions.
MIPR
Xiaoqiong Liu, Yunhe Feng, Shu Hu, Xiaohui Yuan, Heng Fan
2024 J jnl
Benchmarking the Robustness of UAV Tracking Against Common Corruptions.
CoRR
Xiaoqiong Liu, Yunhe Feng, Shu Hu, Xiaohui Yuan, Heng Fan
2024 B conf
CGD-Net: A Hybrid End-to-end Network with gating decoding for Liver Tumor Segmentation from CT Images.
AVSS
Xiaogang Zhu, Tao Liu, Ziqiu Liu, Ouyang Shaobo, Xin Wang, Shu Hu, Feng Ding
2024 B conf
Contextual Reinforcement Learning for Unsupervised Deformable Multimodal Medical Images Registration.
IJCB
Yang Zheng, Hongjiang Xian, Zhikun Shuai, Jing Hu, Xin Wang, Shu Hu
2024 J jnl
Detecting Multimedia Generated by Large AI Models: A Survey.
CoRR
Li Lin, Neeraj Gupta, Yue Zhang, Hainan Ren, Chun-Hao Liu, Feng Ding, Xin Wang, Xin Li, Luisa Verdoliva, Shu Hu
2024 B conf
Efficient Image Super-Resolution via Symmetric Visual Attention Network.
IJCNN
Qinrui Fan, Chengxu Wu, Shu Hu, Xi Wu, Xin Wang, Jing Hu
2024 J jnl
Efficient Image Super-Resolution via Symmetric Visual Attention Network.
CoRR
Chengxu Wu, Qinrui Fan, Shu Hu, Xi Wu, Xin Wang, Jing Hu
2024 B conf
Enhancing Vehicle Re-identification and Matching for Weaving Analysis.
AVSS
Mei Qiu, Wei Lin, Stanley Y. P. Chien, Lauren A. Christopher, Yaobin Chen, Shu Hu
2024 J jnl
Enhancing Vehicle Re-identification and Matching for Weaving Analysis.
CoRR
Mei Qiu, Wei Lin, Stanley Y. P. Chien, Lauren A. Christopher, Yaobin Chen, Shu Hu
2024 J jnl
FG-SMOTE: Towards Fair Node Classification with Graph Neural Network.
SIGKDD Explor.
Zichong Wang, Zhipeng Yin, Yuying Zhang, Liping Yang, Tingting Zhang, Niki Pissinou, Yu Cai, Shu Hu, Yun Li, Liang Zhao, Wenbin Zhang
2024 J jnl
Fairness in Survival Analysis with Distributionally Robust Optimization.
CoRR
Shu Hu, George H. Chen
2024 J jnl
Fairness in Survival Analysis with Distributionally Robust Optimization.
J. Mach. Learn. Res.
Shu Hu, George H. Chen
2024 J jnl
Graph Fairness via Authentic Counterfactuals: Tackling Structural and Causal Challenges.
SIGKDD Explor.
Zichong Wang, Zhipeng Yin, Yuying Zhang, Liping Yang, Tingting Zhang, Niki Pissinou, Yu Cai, Shu Hu, Yun Li, Liang Zhao, Wenbin Zhang
2024 A conf
Improving Fairness in Deepfake Detection.
WACV
Yan Ju, Shu Hu, Shan Jia, George H. Chen, Siwei Lyu
2024 J jnl
Improving Generalization for AI-Synthesized Voice Detection.
CoRR
Hainan Ren, Li Lin, Chun-Hao Liu, Xin Wang, Shu Hu
2024 B conf
Masked Conditional Diffusion Model for Enhancing Deepfake Detection.
IJCNN
Tiewen Chen, Shanmin Yang, Shu Hu, Zhenghan Fang, Ying Fu, Xi Wu, Xin Wang
2024 J jnl
Masked Conditional Diffusion Model for Enhancing Deepfake Detection.
CoRR
Tiewen Chen, Shanmin Yang, Shu Hu, Zhenghan Fang, Ying Fu, Xi Wu, Xin Wang
2024 J jnl
Meta-Learning with Heterogeneous Tasks.
CoRR
Zhaofeng Si, Shu Hu, Kaiyi Ji, Siwei Lyu
2024 J jnl
Neural Radiance Fields in Medical Imaging: Challenges and Next Steps.
CoRR
Xin Wang, Shu Hu, Heng Fan, Hongtu Zhu, Xin Li
2024 A* conf
Preserving Fairness Generalization in Deepfake Detection.
CVPR
Li Lin, Xinan He, Yan Ju, Xin Wang, Feng Ding, Shu Hu
2024 J jnl
Preserving Fairness Generalization in Deepfake Detection.
CoRR
Li Lin, Xinan He, Yan Ju, Xin Wang, Feng Ding, Shu Hu
2024 B conf
QRNN-Transformer: Recognizing Textual Entailment.
AVSS
Xiaogang Zhu, Zhihan Yan, Wenzhan Wang, Shu Hu, Xin Wang, Chunnian Liu
2024 — conf
Real-Time Lane-Wise Traffic Monitoring in Optimal ROIs.
MIPR
Mei Qiu, Wei Lin, Lauren Ann Christopher, Stanley Y. P. Chien, Yaobin Chen, Shu Hu
2024 J jnl
Real-time Lane-wise Traffic Monitoring in Optimal ROIs.
CoRR
Mei Qiu, Wei Lin, Lauren A. Christopher, Stanley Y. P. Chien, Yaobin Chen, Shu Hu
2024 B conf
RepMedGraf: Re-parameterization Medical Generated Radiation Field for Improved 3D Image Reconstruction.
AVSS
Ruotong Sun, Fayang Liao, Jing He, Ying Liu, Wei Yi, Qinrui Fan, Shu Hu, Xin Wang, Jing Hu
2024 B conf
Robust CLIP-Based Detector for Exposing Diffusion Model-Generated Images.
AVSS
Santosh, Li Lin, Irene Amerini, Xin Wang, Shu Hu
2024 J jnl
Robust CLIP-Based Detector for Exposing Diffusion Model-Generated Images.
CoRR
Santosh, Li Lin, Irene Amerini, Xin Wang, Shu Hu
2024 — conf
Robust COVID-19 Detection in CT Images with CLIP.
MIPR
Li Lin, Yamini Sri Krubha, Zhenhuan Yang, Cheng Ren, Thuc Duy Le, Irene Amerini, Xin Wang, Shu Hu
2024 J jnl
Robust COVID-19 Detection in CT Images with CLIP.
CoRR
Li Lin, Yamini Sri Krubha, Zhenhuan Yang, Cheng Ren, Thuc Duy Le, Irene Amerini, Xin Wang, Shu Hu
2024 — conf
Robust Light-Weight Facial Affective Behavior Recognition with CLIP.
MIPR
Li Lin, Sarah Papabathini, Xin Wang, Shu Hu
2024 J jnl
Robust Light-Weight Facial Affective Behavior Recognition with CLIP.
CoRR
Li Lin, Sarah Papabathini, Xin Wang, Shu Hu
2024 — conf
Robustly Optimized Deep Feature Decoupling Network for Fatty Liver Diseases Detection.
MICCAI (1)
Peng Huang, Shu Hu, Bo Peng, Jiashu Zhang, Xi Wu, Xin Wang
2024 J jnl
Robustly Optimized Deep Feature Decoupling Network for Fatty Liver Diseases Detection.
CoRR
Peng Huang, Shu Hu, Bo Peng, Jiashu Zhang, Xi Wu, Xin Wang
2024 Misc conf
Synthesizing Black-Box Anti-Forensics Deepfakes With High Visual Quality.
ICASSP
Bing Fan, Shu Hu, Feng Ding
2024 — conf
U-MedSAM: Uncertainty-Aware MedSAM for Medical Image Segmentation.
MedSAM@CVPR
Xin Wang, Xiaoyu Liu, Peng Huang, Pu Huang, Shu Hu, Hongtu Zhu
2024 J jnl
U-MedSAM: Uncertainty-aware MedSAM for Medical Image Segmentation.
CoRR
Xin Wang, Xiaoyu Liu, Peng Huang, Pu Huang, Shu Hu, Hongtu Zhu
2024 — conf
UMedNeRF: Uncertainty-Aware Single View Volumetric Rendering For Medical Neural Radiance Fields.
ISBI
Jing Hu, Qinrui Fan, Shu Hu, Siwei Lyu, Xi Wu, Xin Wang
2024 — conf
UU-Mamba: Uncertainty-aware U-Mamba for Cardiac Image Segmentation.
MIPR
Ting Yu Tsai, Li Lin, Shu Hu, Ming-Ching Chang, Hongtu Zhu, Xin Wang
2024 J jnl
UU-Mamba: Uncertainty-aware U-Mamba for Cardiovascular Segmentation.
CoRR
Ting Yu Tsai, Li Lin, Shu Hu, Connie W. Tsao, Xin Li, Ming-Ching Chang, Hongtu Zhu, Xin Wang
2024 B conf
Uncertainty-Aware Explainable Recommendation with Large Language Models.
IJCNN
Yicui Peng, Hao Chen, Chingsheng Lin, Guo Huang, Jinrong Hu, Hui Guo, Bin Kong, Shu Hu, Xi Wu, Xin Wang
2024 J jnl
Uncertainty-Aware Explainable Recommendation with Large Language Models.
CoRR
Yicui Peng, Hao Chen, Chingsheng Lin, Guo Huang, Jinrong Hu, Hui Guo, Bin Kong, Shu Hu, Xi Wu, Xin Wang
2024 B conf
X-Transfer: A Transfer Learning-Based Framework for GAN-Generated Fake Image Detection.
IJCNN
Lei Zhang, Hao Chen, Shu Hu, Bin Zhu, Chingsheng Lin, Xi Wu, Jinrong Hu, Xin Wang
2023 — conf
Attacking Identity Semantics in DeepFakes via Deep Feature Fusion.
MIPR
Bing Fan, Zihan Jiang, Shu Hu, Feng Ding
2023 J jnl
Attacking Important Pixels for Anchor-free Detectors.
CoRR
Yunxu Xie, Shu Hu, Xin Wang, Quanyu Liao, Bin Zhu, Xi Wu, Siwei Lyu
2023 J jnl
Attention Guided Policy Optimization for 3D Medical Image Registration.
IEEE Access
Jing Hu, Zhikun Shuai, Xin Wang, Shu Hu, Shanhui Sun, Siwei Lyu, Xi Wu
2023 A* conf
Controlling Neural Style Transfer with Deep Reinforcement Learning.
IJCAI
Chengming Feng, Jing Hu, Xin Wang, Shu Hu, Bin Zhu, Xi Wu, Hongtu Zhu, Siwei Lyu
2023 J jnl
Controlling Neural Style Transfer with Deep Reinforcement Learning.
CoRR
Chengming Feng, Jing Hu, Xin Wang, Shu Hu, Bin Zhu, Xi Wu, Hongtu Zhu, Siwei Lyu
2023 J jnl
Deep Reinforcement Learning for Image-to-Image Translation.
CoRR
Xin Wang, Ziwei Luo, Jing Hu, Chengming Feng, Shu Hu, Bin Zhu, Xi Wu, Siwei Lyu
2023 A conf
GAN-Generated Faces Detection: A Survey and New Perspectives.
ECAI
Xin Wang, Hui Guo, Shu Hu, Ming-Ching Chang, Siwei Lyu
2023 — conf
Harnessing the Power of Text-image Contrastive Models for Automatic Detection of Online Misinformation.
CVPR Workshops
Hao Chen, Peng Zheng, Xin Wang, Shu Hu, Bin Zhu, Jinrong Hu, Xi Wu, Siwei Lyu
2023 J jnl
Harnessing the Power of Text-image Contrastive Models for Automatic Detection of Online Misinformation.
CoRR
Hao Chen, Peng Zheng, Xin Wang, Shu Hu, Bin Zhu, Jinrong Hu, Xi Wu, Siwei Lyu
2023 J jnl
Improving Cross-dataset Deepfake Detection with Deep Information Decomposition.
CoRR
Shanmin Yang, Shu Hu, Bin Zhu, Ying Fu, Siwei Lyu, Xi Wu, Xin Wang
2023 J jnl
Improving Fairness in Deepfake Detection.
CoRR
Yan Ju, Shu Hu, Shan Jia, George H. Chen, Siwei Lyu
2023 — conf
NTIRE 2023 Challenge on Efficient Super-Resolution: Methods and Results.
CVPR Workshops
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 C conf
Outlier Robust Adversarial Training.
ACML
Shu Hu, Zhenhuan Yang, Xin Wang, Yiming Ying, Siwei Lyu
2023 J jnl
Outlier Robust Adversarial Training.
CoRR
Shu Hu, Zhenhuan Yang, Xin Wang, Yiming Ying, Siwei Lyu
2023 A conf
RMBench: Benchmarking Deep Reinforcement Learning for Robotic Manipulator Control.
IROS
Yanfei Xiang, Xin Wang, Shu Hu, Bin Zhu, Xiaomeng Huang, Xi Wu, Siwei Lyu
2023 J jnl
Rank-Based Decomposable Losses in Machine Learning: A Survey.
IEEE Trans. Pattern Anal. Mach. Intell.
Shu Hu, Xin Wang, Siwei Lyu
2023 J jnl
Synthesizing Black-box Anti-forensics DeepFakes with High Visual Quality.
CoRR
Bing Fan, Shu Hu, Feng Ding
2023 J jnl
UMedNeRF: Uncertainty-aware Single View Volumetric Rendering for Medical Neural Radiance Fields.
CoRR
Jing Hu, Qinrui Fan, Shu Hu, Siwei Lyu, Xi Wu, Xin Wang
2023 J jnl
X-Transfer: A Transfer Learning-Based Framework for Robust GAN-Generated Fake Image Detection.
CoRR
Lei Zhang, Hao Chen, Shu Hu, Bin Zhu, Xi Wu, Jinrong Hu, Xin Wang
2022 A conf
Contrastive Class-Specific Encoding for Few-Shot Object Detection.
ICME
Dizhong Lin, Ying Fu, Xin Wang, Shu Hu, Bin Zhu, Qi Song, Xi Wu, Siwei Lyu
2022 J jnl
Differentially Private SGDA for Minimax Problems.
CoRR
Zhenhuan Yang, Shu Hu, Yunwen Lei, Kush R. Varshney, Siwei Lyu, Yiming Ying
2022 A conf
Differentially private SGDA for minimax problems.
UAI
Zhenhuan Yang, Shu Hu, Yunwen Lei, Kush R. Varshney, Siwei Lyu, Yiming Ying
2022 — conf
Distributionally Robust Survival Analysis: A Novel Fairness Loss Without Demographics.
ML4H@NeurIPS
Shu Hu, George H. Chen
2022 J jnl
Distributionally Robust Survival Analysis: A Novel Fairness Loss Without Demographics.
CoRR
Shu Hu, George H. Chen
2022 Misc conf
Eyes Tell All: Irregular Pupil Shapes Reveal GAN-Generated Faces.
ICASSP
Hui Guo, Shu Hu, Xin Wang, Ming-Ching Chang, Siwei Lyu
2022 J jnl
GAN-generated Faces Detection: A Survey and New Perspectives.
CoRR
Xin Wang, Hui Guo, Shu Hu, Ming-Ching Chang, Siwei Lyu
2022 J jnl
Learning a deep dual-level network for robust DeepFake detection.
Pattern Recognit.
Wenbo Pu, Jing Hu, Xin Wang, Yuezun Li, Shu Hu, Bin Zhu, Rui Song, Qi Song, Xi Wu, Siwei Lyu
2022 J jnl
Network traffic analysis over clustering-based collective anomaly detection.
Comput. Networks
Chonghua Wang, Hao Zhou, Zhiqiang Hao, Shu Hu, Jun Li, Xueying Zhang, Bo Jiang, Xuehong Chen
2022 — conf
Open-Eye: An Open Platform to Study Human Performance on Identifying AI-Synthesized Faces.
MIPR
Hui Guo, Shu Hu, Xin Wang, Ming-Ching Chang, Siwei Lyu
2022 J jnl
Open-Eye: An Open Platform to Study Human Performance on Identifying AI-Synthesized Faces.
CoRR
Hui Guo, Shu Hu, Xin Wang, Ming-Ching Chang, Siwei Lyu
2022 — conf
PseudoProp: Robust Pseudo-Label Generation for Semi-Supervised Object Detection in Autonomous Driving Systems.
CVPR Workshops
Shu Hu, Chun-Hao Liu, Jayanta Dutta, Ming-Ching Chang, Siwei Lyu, Naveen Ramakrishnan
2022 J jnl
PseudoProp: Robust Pseudo-Label Generation for Semi-Supervised Object Detection in Autonomous Driving Systems.
CoRR
Shu Hu, Chun-Hao Liu, Jayanta Dutta, Ming-Ching Chang, Siwei Lyu, Naveen Ramakrishnan
2022 J jnl
RMBench: Benchmarking Deep Reinforcement Learning for Robotic Manipulator Control.
CoRR
Yanfei Xiang, Xin Wang, Shu Hu, Bin Zhu, Xiaomeng Huang, Xi Wu, Siwei Lyu
2022 J jnl
Rank-based Decomposable Losses in Machine Learning: A Survey.
CoRR
Shu Hu, Xin Wang, Siwei Lyu
2022 J jnl
Robust Attentive Deep Neural Network for Detecting GAN-Generated Faces.
IEEE Access
Hui Guo, Shu Hu, Xin Wang, Ming-Ching Chang, Siwei Lyu
2022 A* conf
Stochastic Planner-Actor-Critic for Unsupervised Deformable Image Registration.
AAAI
Ziwei Luo, Jing Hu, Xin Wang, Shu Hu, Bin Kong, Youbing Yin, Qi Song, Xi Wu, Siwei Lyu
2022 J jnl
Sum of Ranked Range Loss for Supervised Learning.
J. Mach. Learn. Res.
Shu Hu, Yiming Ying, Xin Wang, Siwei Lyu
2021 Misc conf
Exposing GAN-Generated Faces Using Inconsistent Corneal Specular Highlights.
ICASSP
Shu Hu, Yuezun Li, Siwei Lyu
2021 J jnl
Eyes Tell All: Irregular Pupil Shapes Reveal GAN-generated Faces.
CoRR
Hui Guo, Shu Hu, Xin Wang, Ming-Ching Chang, Siwei Lyu
2021 B conf
NIR Iris Challenge Evaluation in Non-cooperative Environments: Segmentation and Localization.
IJCB
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
2021 J jnl
Robust Attentive Deep Neural Network for Exposing GAN-generated Faces.
CoRR
Hui Guo, Shu Hu, Xin Wang, Ming-Ching Chang, Siwei Lyu
2021 J jnl
Stochastic Planner-Actor-Critic for Unsupervised Deformable Image Registration.
CoRR
Ziwei Luo, Jing Hu, Xin Wang, Shu Hu, Bin Kong, Youbing Yin, Qi Song, Xi Wu, Siwei Lyu
2021 J jnl
Sum of Ranked Range Loss for Supervised Learning.
CoRR
Shu Hu, Yiming Ying, Xin Wang, Siwei Lyu
2021 J jnl
T
CoRR
Shu Hu, Lipeng Ke, Xin Wang, Siwei Lyu
2021 A* conf
TkML-AP: Adversarial Attacks to Top-k Multi-Label Learning.
ICCV
Shu Hu, Lipeng Ke, Xin Wang, Siwei Lyu
2020 J jnl
Exposing GAN-generated Faces Using Inconsistent Corneal Specular Highlights.
CoRR
Shu Hu, Yuezun Li, Siwei Lyu
2020 A* conf
Learning by Minimizing the Sum of Ranked Range.
NeurIPS
Shu Hu, Yiming Ying, Xin Wang, Siwei Lyu
2020 J jnl
Learning by Minimizing the Sum of Ranked Range.
CoRR
Shu Hu, Yiming Ying, Xin Wang, Siwei Lyu
2019 J jnl
A Fast PC Algorithm for High Dimensional Causal Discovery with Multi-Core PCs.
IEEE ACM Trans. Comput. Biol. Bioinform.
Thuc Duy Le, Tao Hoang, Jiuyong Li, Lin Liu, Huawen Liu, Shu Hu
2017 — conf
Identifying microRNA targets in epithelial-mesenchymal transition using joint-intervention causal inference.
CSBio
Thuc Duy Le, Junpeng Zhang, Lin Liu, Buu Minh Thanh Truong, Shu Hu, Taosheng Xu, Jiuyong Li
2015 J jnl
ParallelPC: an R package for efficient constraint based causal exploration.
CoRR
Thuc Duy Le, Tao Hoang, Jiuyong Li, Lin Liu, Shu Hu