Publications

Publications by Years (Total: 40, Journal: 10, Conference: 30, ⁺ = equal contribution, ^* = Corresponding author):

| 2024 (9) | 2023 (10) | 2022 (11) | 2021 (3) | 2020 (2) | 2019 (1) | 2018 (1) | 2017 (1) | 2016 (1) | 2014 (1) |

2024

1. [Electronics24] Few-shot Learning for Misinformation Detection based on Contrastive Models [PDF]
   Peng Zheng, Hao Chen, Shu Hu, Bin Zhu, Jinrong Hu, Ching-Sheng Lin, Xi Wu, Siwei Lyu, Guo Huang, Xin Wang.
   MDPI Electronics (Electronics), 2024, 2.
2. [IJCNN24] Masked Conditional Diffusion Model for Enhancing Deepfake Detection [PDF]
   Tiewen Chen, Shanmin Yang, Shu Hu, Zhenghan Fang, Ying Fu, Xi Wu, Xin Wang
   The International Joint Conference on Neural Networks (IJCNN), 2024, 6.
3. [IJCNN24] Uncertainty-Aware Explainable Recommendation with Large Language Models [PDF]
   Yicui Peng, Hao Chen, Chingsheng Lin, Guo Huang, Jinrong Hu, Hui Guo, Bin Kong, Shu Hu, Xi Wu, Xin Wang
   The International Joint Conference on Neural Networks (IJCNN), 2024, 6.
4. [IJCNN24] Efficient Image Super-Resolution via Symmetric Visual Attention Network [PDF]
   Chengxu Wu, Qinrui Fan, Shu Hu, Xi Wu, Xin Wang, Jing Hu
   The International Joint Conference on Neural Networks (IJCNN), 2024, 6.
5. [IJCNN24] X-Transfer: A Transfer Learning-Based Framework for Robust GAN-Generated Fake Image Detection [PDF]
   Lei Zhang, Hao Chen, Shu Hu, Bin Zhu, Xi Wu, Jinrong Hu, Xin Wang
   The International Joint Conference on Neural Networks (IJCNN), 2024, 6.
6. [CVPR24] Preserving Fairness Generalization in Deepfake Detection [PDF][Code]
   Li Lin, Xinan He, Yan Ju, Xin Wang, Feng Ding, Shu Hu^*
   The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024, 6.
7. [ISBI24] Uncertainty-aware Single View Volumetric Rendering for Medical Neural Radiance Fields [PDF]
   Jing Hu, Qinrui Fan, Shu Hu, Siwei Lyu, Xi Wu, Xin Wang
   21st IEEE International Symposium on Biomedical Imaging (ISBI), 2024, 5.
8. [ICASSP24] Synthesizing Black-box Anti-forensics DeepFakes with High Visual Quality [PDF]
   Bing Fan, Shu Hu, Feng Ding.
   49th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024, 4.
9. [WACV24] Improving Fairness in Deepfake Detection [PDF][Code]
   Yan Ju⁺, Shu Hu^+*, Shan Jia, George H. Chen, Siwei Lyu.
   IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024, 1.

2023

1. [TPAMI23] Rank-based Decomposable Losses in Machine Learning: A Survey [PDF]
   Shu Hu, Xin Wang, Siwei Lyu.
   IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023, 7.
2. [ACCESS23] Attention Guided Policy Optimization for 3D Medical Image Registration [PDF]
   Jing Hu, Zhikun Shuai, Xin Wang, Shu Hu, Shanhui Sun, Siwei Lyu, Xi Wu.
   IEEE Access, 2023, 4.
3. [FRONTIERS23] Attention-driven tree-structured convolutional LSTM for high dimensional data understanding [PDF]
   Yi Lu, Bin Kong, Feng Gao, Kunlin Cao, Siwei Lyu, Shaoting Zhang, Shu Hu, Youbing Yin, Xin Wang.
   Frontiers in Physics , 2023, 3.
4. [ACML23] Outlier Robust Adversarial Training [PDF][Code]
   Shu Hu, Zhenhuan Yang, Xin Wang, Yiming Ying, Siwei Lyu.
   The 15th Asian Conference on Machine Learning(ACML), 2023, 11.
5. [ECAI23] GAN-generated Faces Detection: A Survey and New Perspectives [PDF]
   Xin Wang, Hui Guo, Shu Hu, Ming-Ching Chang, Siwei Lyu.
   26th European Conference on Artificial Intelligence (ECAI), 2023, 10.
6. [IROS23] RMBench: Benchmarking Deep Reinforcement Learning for Robotic Manipulator Control [PDF]
   Yanfei Xiang, Xin Wang, Shu Hu, Bin Zhu, Xiaomeng Huang, Xi Wu, Siwei Lyu
   The 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023, 10.
7. [MIPR23] Attacking Identity Semantics in DeepFakes via Deep Feature Fusion [PDF]
   Bing Fan, Zihan Jiang, Shu Hu, Feng Ding
   IEEE 6th International Conference on Multimedia Information Processing and Retrieval (MIPR), 2023, 9.
8. [IJCAI23] Controlling Neural Style Transfer with Deep Reinforcement Learning [PDF]
   Chengming Feng, Jing Hu, Xin Wang, Shu Hu, Bin Zhu, Xi Wu, Hongtu Zhu, Siwei Lyu.
   The 32nd International Joint Conference on Artificial Intelligence (IJCAI), 2023, 4.
9. [CVPRW23] NTIRE 2023 Challenge on Efficient Super-Resolution: Methods and Results [PDF]
   as a participating team
   New Trends in Image Restoration and Enhancement workshop and associated challenges (NTIRE 2023) at CVPR (CVPRW), 2023, 4.
10. [CVPRW23] Harnessing the Power of Text-image Contrastive Models for Automatic Detection of Online Misinformation [PDF]
    Hao Chen, Peng Zheng, Xin Wang, Shu Hu, Bin Zhu, Jinrong Hu, Xi Wu, Siwei Lyu.
    Workshop on Media Forensics (WMF) at CVPR (CVPRW), 2023, 4.

2022

1. [PR22] Learning a Deep Dual-level Network for Robust DeepFake Detection [PDF]
   Wenbo Pu, Jing Hu, Xin Wang, Yuezun Li, Shu Hu, Bin Zhu, Rui Song, Qi Song, Xi Wu, Siwei Lyu.
   Pattern Recognition , 2022, 6.
2. [JMLR22] Sum of Ranked Range Loss for Supervised Learning [PDF]
   Shu Hu, Yiming Ying, Xin Wang, Siwei Lyu.
   Journal of Machine Learning Research , 2022, 4.
3. [ACCESS22] Robust Attentive Deep Neural Network for Exposing GAN-generated Faces [PDF]
   Hui Guo, Shu Hu, Xin Wang, Ming-Ching Chang, Siwei Lyu.
   IEEE Access, 2022, 2.
4. [Computer Networks22] Network Traffic Analysis Over Clustering-based Collective Anomaly Detection [PDF]
   Chonghua Wang, Hao Zhou, Zhiqiang Hao, Shu Hu, Jun Li, Xueying Zhang, Bo Jiang, and Xuehong Chen.
   Computer Networks , 2022, 1.
5. [ML4H22] Distributionally Robust Survival Analysis: A Novel Fairness Loss Without Demographics [PDF] [Code]
   Shu Hu⁺, George H. Chen⁺.
   Proceedings of 2nd Machine Learning for Health symposium 2022 (ML4H), 2022, 10.
6. [UAI22] Differentially Private SGDA for Minimax Problems [PDF]
   Zhenhuan Yang, Shu Hu, Yunwen Lei, Kush R. Varshney, Siwei Lyu, Yiming Ying.
   The 38th Conference on Uncertainty in Artificial Intelligence (UAI), 2022, 5.
7. [MIPR22] Open-Eye: An Open Platform to Study Human Performance on Identifying AI-Synthesized Faces [PDF]
   Hui Guo, Shu Hu, Xin Wang, Ming-Ching Chang, Siwei Lyu.
   IEEE International Conference on Multimedia Information Processing and Retrieval (MIPR), 2022, 5.
8. [CVPRW22] PseudoProp: Robust Pseudo-Label Generation for Semi-Supervised Object Detection in Autonomous Driving Systems [PDF]
   Shu Hu, Chun-Hao Liu, Jayanta Dutta, Ming-Ching Chang, Siwei Lyu, Naveen Ramakrishnan.
   Autonomous Driving Workshop at CVPR (CVPRW), 2022, 4.
9. [ICME22] Contrastive Class-specific Encoding For Few-shot Object Detection [PDF]
   Dizhong Lin, Ying Fu, Xin Wang, Shu Hu, Bin Zhu, Qi Song, Xi Wu, Jilin Zhou and Siwei Lyu.
   IEEE International Conference on Multimedia and Expo (ICME), 2022, 3.
10. [ICASSP22] Eyes Tell All: Irregular Pupil Shapes Reveal GAN-generated Faces [PDF] [Twitter] [Chinese News] [Youtube] [US News 1] [US News 2]
    Hui Guo, Shu Hu, Xin Wang, Ming-Ching Chang, Siwei Lyu.
    47th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022, 1.
11. [AAAI22] Stochastic Planner-Actor-Critic for Unsupervised Deformable Image Registration [PDF]
    Ziwei Luo, Jing Hu, Xin Wang, Shu Hu, Bin Kong, Youbing Yin, Qi Song, Xi Wu and Siwei Lyu.
    AAAI Conference on Artificial Intelligence (AAAI), 2022, 2.

2021

1. [ICCV21] TkML-AP: Adversarial Attacks to Top-k Multi-Label Learning [PDF]
   Shu Hu, Lipeng Ke, Xin Wang, Siwei Lyu.
   International Conference on Computer Vision (ICCV), 2021, 10.
2. [IJCB21] NIR Iris Challenge Evaluation in Non-cooperative Environments: Segmentation and Localization [PDF]
   as a participating team
   International Joint Conference on Biometrics (IJCB), 2021, 8.
3. [ICASSP21] Exposing GAN-generated Faces Using Inconsistent Corneal Specular Highlights [PDF] [Project page] [Code] [Poster] [Award] [BBC] [WKBW-TV] [Futurism] [CNET]
   Shu Hu, Yuezun Li, Siwei Lyu.
   46th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2021, 1.

2020

1. [NeurIPS20] Learning by Minimizing the Sum of Ranked Range [PDF] [Code] [Poster]
   Shu Hu, Yiming Ying, Xin Wang, Siwei Lyu.
   Thirty-fourth Conference on Neural Information Processing Systems (NeurIPS), 2020, 9.
2. [NeurIPS20] Uncertainty Aware Semi-Supervised Learning on Graph Data [PDF]
   Xujiang Zhao, Feng Chen, Shu Hu, Jin-Hee Cho.
   Thirty-fourth Conference on Neural Information Processing Systems (NeurIPS)(Spotlight), 2020, 9.

2019

1. [FUSION19] Uncertainty-based Decision Making Using Deep Reinforcement Learning [PDF]
   Xujiang Zhao, Shu Hu, Jin-Hee Cho, Feng Chen.
   International Conference on Information Fusion (FUSION), 2019, 7.

2018

1. [PAKDD18] ParallelPC: An R Package for Efficient Causal Exploration in Genomic Data[PDF]
   Thuc Duy Le, Taosheng Xu, Lin Liu, Hu Shu, Tao Hoang, Jiuyong Li.
   Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2018, 6.

2017

1. [CSBio17] Identifying microRNA targets in epithelial-mesenchymal transition using joint-intervention causal inference[PDF]
   Thuc Duy Le, Junpeng Zhang, Lin Liu, Buu Minh Thanh Truong, Shu Hu, Taosheng Xu, Jiuyong Li.
   Computational Systems-Biology and Bioinformatics (CSBio), 2017, 8.

2016

[TCBB16] A fast PC algorithm for high dimensional causal discovery with multi-core PCs[PDF]
Thuc Duy Le, Tao Hoang, Jiuyong Li, Lin Liu, Huawen Liu, Shu Hu
IEEE-ACM Transactions on Computational Biology and Bioinformatics (IEEE TCBB), 2016.

2014

[AMM14] An Sample Analysis of Heavy Metal Pollution to Urban Surface Soil Based on Transfer Function Theory[PDF]
Yang Shu, Shu Hu
Applied Mechanics and Materials (AMM), 2014 ,Volumes 446-447, 1516-1522.