Shu Hu

According to our database, Shu Hu authored at least 53 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

QuantEcon.py: A community based Python library for quantitative economics.

Quentin Batista, Chase Coleman, Yuya Furusawa, Shu Hu, Smit Lunagariya, Spencer Lyon, Matthew McKay, Daisuke Oyama, Thomas J. Sargent, Zejin Shi, John Stachurski, Pablo Winant, Natasha Watkins, Ziyue Yang, Hengcheng Zhang

J. Open Source Softw., January, 2024

Benchmarking the Robustness of UAV Tracking Against Common Corruptions.

Xiaoqiong Liu, Yunhe Feng, Shu Hu, Xiaohui Yuan, Heng Fan

CoRR, 2024

Robust Light-Weight Facial Affective Behavior Recognition with CLIP.

Li Lin, Sarah Papabathini, Xin Wang, Shu Hu

CoRR, 2024

Robust COVID-19 Detection in CT Images with CLIP.

Li Lin, Yamini Sri Krubha, Zhenhuan Yang, Cheng Ren, Thuc Duy Le, Irene Amerini, Xin Wang, Shu Hu

CoRR, 2024

Neural Radiance Fields in Medical Imaging: Challenges and Next Steps.

Xin Wang, Shu Hu, Heng Fan, Hongtu Zhu, Xin Li

CoRR, 2024

Preserving Fairness Generalization in Deepfake Detection.

Li Lin, Xinan He, Yan Ju, Xin Wang, Feng Ding, Shu Hu

CoRR, 2024

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

CoRR, 2024

Masked Conditional Diffusion Model for Enhancing Deepfake Detection.

Tiewen Chen, Shanmin Yang, Shu Hu, Zhenghan Fang, Ying Fu, Xi Wu, Xin Wang

CoRR, 2024

Detecting Multimedia Generated by Large AI Models: A Survey.

Li Lin, Neeraj Gupta, Yue Zhang, Hainan Ren, Chun-Hao Liu, Feng Ding, Xin Wang, Xin Li, Luisa Verdoliva, Shu Hu

CoRR, 2024

Efficient Image Super-Resolution via Symmetric Visual Attention Network.

Chengxu Wu, Qinrui Fan, Shu Hu, Xi Wu, Xin Wang, Jing Hu

CoRR, 2024

Improving Fairness in Deepfake Detection.

Yan Ju, Shu Hu, Shan Jia, George H. Chen, Siwei Lyu

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

Rank-Based Decomposable Losses in Machine Learning: A Survey.

Shu Hu, Xin Wang, Siwei Lyu

IEEE Trans. Pattern Anal. Mach. Intell., November, 2023

ESTI: an action recognition network with enhanced spatio-temporal information.

ZhiYu Jiang, Yi Zhang, Shu Hu

Int. J. Mach. Learn. Cybern., September, 2023

Optimal trade-in and refurbishment strategies for durable goods.

Shu Hu, Stuart X. Zhu, Ke Fu

Eur. J. Oper. Res., August, 2023

Synthesizing Black-box Anti-forensics DeepFakes with High Visual Quality.

Bing Fan, Shu Hu, Feng Ding

CoRR, 2023

UMedNeRF: Uncertainty-aware Single View Volumetric Rendering for Medical Neural Radiance Fields.

Jing Hu, Qinrui Fan, Shu Hu, Siwei Lyu, Xi Wu, Xin Wang

CoRR, 2023

X-Transfer: A Transfer Learning-Based Framework for Robust GAN-Generated Fake Image Detection.

Lei Zhang, Hao Chen, Shu Hu, Bin Zhu, Xi Wu, Jinrong Hu, Xin Wang

CoRR, 2023

Improving Cross-dataset Deepfake Detection with Deep Information Decomposition.

Shanmin Yang, Shu Hu, Bin Zhu, Ying Fu, Siwei Lyu, Xi Wu, Xin Wang

CoRR, 2023

Deep Reinforcement Learning for Image-to-Image Translation.

Xin Wang, Ziwei Luo, Jing Hu, Chengming Feng, Shu Hu, Bin Zhu, Xi Wu, Siwei Lyu

CoRR, 2023

Outlier Robust Adversarial Training.

Shu Hu, Zhenhuan Yang, Xin Wang, Yiming Ying, Siwei Lyu

CoRR, 2023

Attacking Important Pixels for Anchor-free Detectors.

Yunxu Xie, Shu Hu, Xin Wang, Quanyu Liao, Bin Zhu, Xi Wu, Siwei Lyu

CoRR, 2023

Attention Guided Policy Optimization for 3D Medical Image Registration.

Jing Hu, Zhikun Shuai, Xin Wang, Shu Hu, Shanhui Sun, Siwei Lyu, Xi Wu

IEEE Access, 2023

Attacking Identity Semantics in DeepFakes via Deep Feature Fusion.

Bing Fan, Zihan Jiang, Shu Hu, Feng Ding

Proceedings of the 6th IEEE International Conference on Multimedia Information Processing and Retrieval, 2023

RMBench: Benchmarking Deep Reinforcement Learning for Robotic Manipulator Control.

Yanfei Xiang, Xin Wang, Shu Hu, Bin Zhu, Xiaomeng Huang, Xi Wu, Siwei Lyu

IROS, 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

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

GAN-Generated Faces Detection: A Survey and New Perspectives.

Xin Wang, Hui Guo, Shu Hu, Ming-Ching Chang, Siwei Lyu

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Learning a deep dual-level network for robust DeepFake detection.

Wenbo Pu, Jing Hu, Xin Wang, Yuezun Li, Shu Hu, Bin Zhu, Rui Song, Qi Song, Xi Wu, Siwei Lyu

Pattern Recognit., 2022

Sum of Ranked Range Loss for Supervised Learning.

Shu Hu, Yiming Ying, Xin Wang, Siwei Lyu

J. Mach. Learn. Res., 2022

RMBench: Benchmarking Deep Reinforcement Learning for Robotic Manipulator Control.

Yanfei Xiang, Xin Wang, Shu Hu, Bin Zhu, Xiaomeng Huang, Xi Wu, Siwei Lyu

CoRR, 2022

Network traffic analysis over clustering-based collective anomaly detection.

Chonghua Wang, Hao Zhou, Zhiqiang Hao, Shu Hu, Jun Li, Xueying Zhang, Bo Jiang, Xuehong Chen

Comput. Networks, 2022

Robust Attentive Deep Neural Network for Detecting GAN-Generated Faces.

Hui Guo, Shu Hu, Xin Wang, Ming-Ching Chang, Siwei Lyu

IEEE Access, 2022

Differentially private SGDA for minimax problems.

Zhenhuan Yang, Shu Hu, Yunwen Lei, Kush R. Varshney, Siwei Lyu, Yiming Ying

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Distributionally Robust Survival Analysis: A Novel Fairness Loss Without Demographics.

Shu Hu, George H. Chen

Proceedings of the Machine Learning for Health, 2022

Open-Eye: An Open Platform to Study Human Performance on Identifying AI-Synthesized Faces.

Hui Guo, Shu Hu, Xin Wang, Ming-Ching Chang, Siwei Lyu

Proceedings of the 5th IEEE International Conference on Multimedia Information Processing and Retrieval, 2022

Contrastive Class-Specific Encoding for Few-Shot Object Detection.

Dizhong Lin, Ying Fu, Xin Wang, Shu Hu, Bin Zhu, Qi Song, Xi Wu, Siwei Lyu

Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

Eyes Tell All: Irregular Pupil Shapes Reveal GAN-Generated Faces.

Hui Guo, Shu Hu, Xin Wang, Ming-Ching Chang, Siwei Lyu

Proceedings of the IEEE International Conference on Acoustics, 2022

A reinforcement learning framework based on regret minimization for approximating best response in fictitious self-play.

Yanran Xu, Kangxin He, Shu Hu, Hui Li

Proceedings of the 24th IEEE Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 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

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Robust Attentive Deep Neural Network for Exposing GAN-generated Faces.

Hui Guo, Shu Hu, Xin Wang, Ming-Ching Chang, Siwei Lyu

CoRR, 2021

T_kML-AP: Adversarial Attacks to Top-k Multi-Label Learning.

Shu Hu, Lipeng Ke, Xin Wang, Siwei Lyu

CoRR, 2021

TkML-AP: Adversarial Attacks to Top-k Multi-Label Learning.

Shu Hu, Lipeng Ke, Xin Wang, Siwei Lyu

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

NIR Iris Challenge Evaluation in Non-cooperative Environments: Segmentation and Localization.

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

Proceedings of the International IEEE Joint Conference on Biometrics, 2021

Exposing GAN-Generated Faces Using Inconsistent Corneal Specular Highlights.

Shu Hu, Yuezun Li, Siwei Lyu

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Uncertainty Aware Semi-Supervised Learning on Graph Data.

Xujiang Zhao, Feng Chen, Shu Hu, Jin-Hee Cho

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Learning by Minimizing the Sum of Ranked Range.

Shu Hu, Yiming Ying, Xin Wang, Siwei Lyu

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

A Fast PC Algorithm for High Dimensional Causal Discovery with Multi-Core PCs.

Thuc Duy Le, Tao Hoang, Jiuyong Li, Lin Liu, Huawen Liu, Shu Hu

IEEE ACM Trans. Comput. Biol. Bioinform., 2019

Uncertainty-based Decision Making Using Deep Reinforcement Learning.

Xujiang Zhao, Shu Hu, Jin-Hee Cho, Feng Chen

Proceedings of the 22th International Conference on Information Fusion, 2019

2018

Pay-as-you-throw versus recycling fund system in closed-loop supply chains with alliance recycling.

Zu-Jun Ma, Shu Hu, Ying Dai, Yu-Sen Ye

Int. Trans. Oper. Res., 2018

2017

Identifying microRNA targets in epithelial-mesenchymal transition using joint-intervention causal inference.

Thuc Duy Le, Junpeng Zhang, Lin Liu, Buu Minh Thanh Truong, Shu Hu, Taosheng Xu, Jiuyong Li

Proceedings of the 8th International Conference on Computational Systems-Biology and Bioinformatics, 2017

2015

ParallelPC: an R package for efficient constraint based causal exploration.

Thuc Duy Le, Tao Hoang, Jiuyong Li, Lin Liu, Shu Hu

CoRR, 2015