ParallelPC: an R package for efficient constraint based causal exploration. - Thuc Duy Le; Tao Hoang; Jiuyong Li; Lin Liu 003; Shu Hu 001 (CoRR, 2015)

Identifying microRNA targets in epithelial-mesenchymal transition using joint-intervention causal inference. - Thuc Duy Le; Junpeng Zhang 001; Lin Liu 003; Buu Minh Thanh Truong; Shu Hu 001; Taosheng Xu; Jiuyong Li (CSBio, 2017)

A Fast PC Algorithm for High Dimensional Causal Discovery with Multi-Core PCs. - Thuc Duy Le; Tao Hoang; Jiuyong Li; Lin Liu 003; Huawen Liu; Shu Hu 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2019)

Learning by Minimizing the Sum of Ranked Range. - Shu Hu 001; Yiming Ying; Xin Wang 045; Siwei Lyu (NeurIPS, 2020)

Exposing GAN-Generated Faces Using Inconsistent Corneal Specular Highlights. - Shu Hu 001; Yuezun Li; Siwei Lyu (ICASSP, 2021)

NIR Iris Challenge Evaluation in Non-cooperative Environments: Segmentation and Localization. - Caiyong Wang; Yunlong Wang 003; Kunbo Zhang; Jawad Muhammad; Tianhao Lu; Qi Zhang 015; Qichuan Tian; Zhaofeng He; Zhenan Sun; Yiwen Zhang; Tianbao Liu; Wei Yang 006; et al. (IJCB, 2021)

TkML-AP: Adversarial Attacks to Top-k Multi-Label Learning. - Shu Hu 001; Lipeng Ke; Xin Wang 045; Siwei Lyu (ICCV, 2021)

TkML-AP: Adversarial Attacks to Top-k Multi-Label Learning. - Shu Hu 001; Lipeng Ke; Xin Wang 045; Siwei Lyu (CoRR, 2021)

Robust Attentive Deep Neural Network for Exposing GAN-generated Faces. - Hui Guo; Shu Hu 001; Xin Wang 045; Ming-Ching Chang; Siwei Lyu (CoRR, 2021)

Stochastic Planner-Actor-Critic for Unsupervised Deformable Image Registration. - Ziwei Luo; Jing Hu 009; Xin Wang 045; Shu Hu 001; Bin Kong 001; Youbing Yin; Qi Song 001; Xi Wu 004; Siwei Lyu (AAAI, 2022)

PseudoProp: Robust Pseudo-Label Generation for Semi-Supervised Object Detection in Autonomous Driving Systems. - Shu Hu 001; Chun-Hao Liu; Jayanta Dutta; Ming-Ching Chang; Siwei Lyu; Naveen Ramakrishnan (CVPR Workshops, 2022)

Eyes Tell All: Irregular Pupil Shapes Reveal GAN-Generated Faces. - Hui Guo; Shu Hu 001; Xin Wang 045; Ming-Ching Chang; Siwei Lyu (ICASSP, 2022)

Contrastive Class-Specific Encoding for Few-Shot Object Detection. - Dizhong Lin; Ying Fu 003; Xin Wang 045; Shu Hu 001; Bin Zhu 008; Qi Song 001; Xi Wu 004; Siwei Lyu (ICME, 2022)

Open-Eye: An Open Platform to Study Human Performance on Identifying AI-Synthesized Faces. - Hui Guo; Shu Hu 001; Xin Wang 045; Ming-Ching Chang; Siwei Lyu (MIPR, 2022)

Distributionally Robust Survival Analysis: A Novel Fairness Loss Without Demographics. - Shu Hu 001; George H. Chen (ML4H@NeurIPS, 2022)

Differentially private SGDA for minimax problems. - Zhenhuan Yang; Shu Hu 001; Yunwen Lei; Kush R. Varshney; Siwei Lyu; Yiming Ying (UAI, 2022)

Robust Attentive Deep Neural Network for Detecting GAN-Generated Faces. - Hui Guo; Shu Hu 001; Xin Wang 045; Ming-Ching Chang; Siwei Lyu (IEEE Access, 2022)

Network traffic analysis over clustering-based collective anomaly detection. - Chonghua Wang; Hao Zhou; Zhiqiang Hao; Shu Hu 001; Jun Li; Xueying Zhang; Bo Jiang 013; Xuehong Chen (Comput. Networks, 2022)

Sum of Ranked Range Loss for Supervised Learning. - Shu Hu 001; Yiming Ying; Xin Wang 045; Siwei Lyu (J. Mach. Learn. Res., 2022)

Learning a deep dual-level network for robust DeepFake detection. - Wenbo Pu; Jing Hu 009; Xin Wang 045; Yuezun Li; Shu Hu 001; Bin Zhu 008; Rui Song 006; Qi Song 001; Xi Wu 004; Siwei Lyu (Pattern Recognit., 2022)

Outlier Robust Adversarial Training. - Shu Hu 001; Zhenhuan Yang; Xin Wang 045; Yiming Ying; Siwei Lyu (ACML, 2023)

Harnessing the Power of Text-image Contrastive Models for Automatic Detection of Online Misinformation. - Hao Chen; Peng Zheng; Xin Wang 045; Shu Hu 001; Bin Zhu 008; Jinrong Hu; Xi Wu 004; Siwei Lyu (CVPR Workshops, 2023)

NTIRE 2023 Challenge on Efficient Super-Resolution: Methods and Results. - Yawei Li 001; Yulun Zhang 001; Radu Timofte; Luc Van Gool; Lei Yu; Youwei Li; Xinpeng Li 002; Ting Jiang; Qi Wu 017; Mingyan Han; Wenjie Lin; Chengzhi Jiang; et al. (CVPR Workshops, 2023)

GAN-Generated Faces Detection: A Survey and New Perspectives. - Xin Wang 045; Hui Guo; Shu Hu 001; Ming-Ching Chang; Siwei Lyu (ECAI, 2023)

Controlling Neural Style Transfer with Deep Reinforcement Learning. - Chengming Feng; Jing Hu 009; Xin Wang 045; Shu Hu 001; Bin Zhu 008; Xi Wu 004; Hongtu Zhu; Siwei Lyu (IJCAI, 2023)

RMBench: Benchmarking Deep Reinforcement Learning for Robotic Manipulator Control. - Yanfei Xiang; Xin Wang 045; Shu Hu 001; Bin Zhu 008; Xiaomeng Huang; Xi Wu 004; Siwei Lyu (IROS, 2023)

Attacking Identity Semantics in DeepFakes via Deep Feature Fusion. - Bing Fan; Zihan Jiang; Shu Hu 001; Feng Ding 007 (MIPR, 2023)

Attention Guided Policy Optimization for 3D Medical Image Registration. - Jing Hu 009; Zhikun Shuai; Xin Wang 045; Shu Hu 001; Shanhui Sun; Siwei Lyu; Xi Wu 004 (IEEE Access, 2023)

Attacking Important Pixels for Anchor-free Detectors. - Yunxu Xie; Shu Hu 001; Xin Wang 045; Quanyu Liao; Bin Zhu 008; Xi Wu 004; Siwei Lyu (CoRR, 2023)

Deep Reinforcement Learning for Image-to-Image Translation. - Xin Wang 045; Ziwei Luo; Jing Hu 009; Chengming Feng; Shu Hu 001; Bin Zhu 008; Xi Wu 004; Siwei Lyu (CoRR, 2023)

Improving Cross-dataset Deepfake Detection with Deep Information Decomposition. - Shanmin Yang; Shu Hu 001; Bin Zhu 008; Ying Fu 003; Siwei Lyu; Xi Wu 004; Xin Wang 045 (CoRR, 2023)

X-Transfer: A Transfer Learning-Based Framework for Robust GAN-Generated Fake Image Detection. - Lei Zhang; Hao Chen; Shu Hu 001; Bin Zhu 008; Xi Wu 004; Jinrong Hu; Xin Wang 045 (CoRR, 2023)

UMedNeRF: Uncertainty-aware Single View Volumetric Rendering for Medical Neural Radiance Fields. - Jing Hu 009; Qinrui Fan; Shu Hu 001; Siwei Lyu; Xi Wu 004; Xin Wang 045 (CoRR, 2023)

Rank-Based Decomposable Losses in Machine Learning: A Survey. - Shu Hu 001; Xin Wang 045; Siwei Lyu (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Enhancing Vehicle Re-identification and Matching for Weaving Analysis. - Mei Qiu; Wei Lin; Stanley Y. P. Chien; Lauren A. Christopher; Yaobin Chen; Shu Hu 001 (AVSS, 2024)

Robust CLIP-Based Detector for Exposing Diffusion Model-Generated Images. - Santosh; Li Lin; Irene Amerini; Xin Wang 045; Shu Hu 001 (AVSS, 2024)

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 001; Xin Wang 045; Jing Hu 009 (AVSS, 2024)

CGD-Net: A Hybrid End-to-end Network with gating decoding for Liver Tumor Segmentation from CT Images. - Xiaogang Zhu 001; Tao Liu; Ziqiu Liu; Ouyang Shaobo; Xin Wang 045; Shu Hu 001; Feng Ding 007 (AVSS, 2024)

QRNN-Transformer: Recognizing Textual Entailment. - Xiaogang Zhu 001; Zhihan Yan; Wenzhan Wang; Shu Hu 001; Xin Wang 045; Chunnian Liu (AVSS, 2024)

Preserving Fairness Generalization in Deepfake Detection. - Li Lin; Xinan He; Yan Ju; Xin Wang 045; Feng Ding 007; Shu Hu 001 (CVPR, 2024)

U-MedSAM: Uncertainty-Aware MedSAM for Medical Image Segmentation. - Xin Wang 045; Xiaoyu Liu; Peng Huang; Pu Huang; Shu Hu 001; Hongtu Zhu (MedSAM@CVPR, 2024)

Synthesizing Black-Box Anti-Forensics Deepfakes With High Visual Quality. - Bing Fan; Shu Hu 001; Feng Ding 007 (ICASSP, 2024)

Contextual Reinforcement Learning for Unsupervised Deformable Multimodal Medical Images Registration. - Yang Zheng; Hongjiang Xian; Zhikun Shuai; Jing Hu 009; Xin Wang; Shu Hu 001 (IJCB, 2024)

Masked Conditional Diffusion Model for Enhancing Deepfake Detection. - Tiewen Chen; Shanmin Yang; Shu Hu 001; Zhenghan Fang; Ying Fu 003; Xi Wu 004; Xin Wang 045 (IJCNN, 2024)

Efficient Image Super-Resolution via Symmetric Visual Attention Network. - Qinrui Fan; Chengxu Wu; Shu Hu 001; Xi Wu 004; Xin Wang 001; Jing Hu 009 (IJCNN, 2024)

Uncertainty-Aware Explainable Recommendation with Large Language Models. - Yicui Peng; Hao Chen; Chingsheng Lin; Guo Huang; Jinrong Hu; Hui Guo; Bin Kong 001; Shu Hu 001; Xi Wu 004; Xin Wang 045 (IJCNN, 2024)

X-Transfer: A Transfer Learning-Based Framework for GAN-Generated Fake Image Detection. - Lei Zhang; Hao Chen; Shu Hu 001; Bin Zhu 008; Chingsheng Lin; Xi Wu 004; Jinrong Hu; Xin Wang 045 (IJCNN, 2024)

UMedNeRF: Uncertainty-Aware Single View Volumetric Rendering For Medical Neural Radiance Fields. - Jing Hu 009; Qinrui Fan; Shu Hu 001; Siwei Lyu; Xi Wu 004; Xin Wang (ISBI, 2024)

Robustly Optimized Deep Feature Decoupling Network for Fatty Liver Diseases Detection. - Peng Huang; Shu Hu 001; Bo Peng 006; Jiashu Zhang; Xi Wu 004; Xin Wang 045 (MICCAI (1), 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 045; Shu Hu 001 (MIPR, 2024)

Robust Light-Weight Facial Affective Behavior Recognition with CLIP. - Li Lin; Sarah Papabathini; Xin Wang; Shu Hu 001 (MIPR, 2024)

Benchmarking the Robustness of UAV Tracking Against Common Corruptions. - Xiaoqiong Liu; Yunhe Feng; Shu Hu 001; Xiaohui Yuan 001; Heng Fan 001 (MIPR, 2024)

Real-Time Lane-Wise Traffic Monitoring in Optimal ROIs. - Mei Qiu; Wei Lin; Lauren Ann Christopher; Stanley Y. P. Chien; Yaobin Chen; Shu Hu 001 (MIPR, 2024)

UU-Mamba: Uncertainty-aware U-Mamba for Cardiac Image Segmentation. - Ting Yu Tsai; Li Lin; Shu Hu 001; Ming-Ching Chang; Hongtu Zhu; Xin Wang (MIPR, 2024)

Improving Fairness in Deepfake Detection. - Yan Ju; Shu Hu 001; Shan Jia; George H. Chen; Siwei Lyu (WACV, 2024)

Efficient Image Super-Resolution via Symmetric Visual Attention Network. - Chengxu Wu; Qinrui Fan; Shu Hu 001; Xi Wu 004; Xin Wang 045; Jing Hu 009 (CoRR, 2024)

Detecting Multimedia Generated by Large AI Models: A Survey. - Li Lin; Neeraj Gupta; Yue Zhang; Hainan Ren; Chun-Hao Liu; Feng Ding 007; Xin Wang 045; Xin Li 005; Luisa Verdoliva; Shu Hu 001 (CoRR, 2024)

Neural Radiance Fields in Medical Imaging: Challenges and Next Steps. - Xin Wang 045; Shu Hu 001; Heng Fan 001; Hongtu Zhu; Xin Li 005 (CoRR, 2024)

Robust Light-Weight Facial Affective Behavior Recognition with CLIP. - Li Lin; Sarah Papabathini; Xin Wang 045; Shu Hu 001 (CoRR, 2024)

AI-Face: A Million-Scale Demographically Annotated AI-Generated Face Dataset and Fairness Benchmark. - Li Lin; Santosh; Xin Wang 045; Shu Hu 001 (CoRR, 2024)

An Explainable Non-local Network for COVID-19 Diagnosis. - Jingfu Yang; Peng Huang; Jing Hu 009; Shu Hu 001; Siwei Lyu; Xin Wang; Jun Guo; Xi Wu 004 (CoRR, 2024)

U-MedSAM: Uncertainty-aware MedSAM for Medical Image Segmentation. - Xin Wang; Xiaoyu Liu; Peng Huang; Pu Huang; Shu Hu 001; Hongtu Zhu (CoRR, 2024)

UU-Mamba: Uncertainty-aware U-Mamba for Cardiovascular Segmentation. - Ting Yu Tsai; Li Lin; Shu Hu 001; Connie W. Tsao; Xin Li 005; Ming-Ching Chang; Hongtu Zhu; Xin Wang 045 (CoRR, 2024)

Meta-Learning with Heterogeneous Tasks. - Zhaofeng Si; Shu Hu 001; Kaiyi Ji; Siwei Lyu (CoRR, 2024)

A Self-Learning Multimodal Approach for Fake News Detection. - Hao Chen; Hui Guo; Baochen Hu; Shu Hu 001; Jinrong Hu; Siwei Lyu; Xi Wu 004; Xin Wang (CoRR, 2024)

Fairness in Survival Analysis with Distributionally Robust Optimization. - Shu Hu 001; George H. Chen (J. Mach. Learn. Res., 2024)

Graph Fairness via Authentic Counterfactuals: Tackling Structural and Causal Challenges. - Zichong Wang; Zhipeng Yin; Yuying Zhang; Liping Yang 002; Tingting Zhang; Niki Pissinou; Yu Cai 002; Shu Hu 001; Yun Li 005; Liang Zhao 002; Wenbin Zhang 002 (SIGKDD Explor., 2024)

FG-SMOTE: Towards Fair Node Classification with Graph Neural Network. - Zichong Wang; Zhipeng Yin; Yuying Zhang; Liping Yang 002; Tingting Zhang; Niki Pissinou; Yu Cai 002; Shu Hu 001; Yun Li 005; Liang Zhao 002; Wenbin Zhang 002 (SIGKDD Explor., 2024)

Improving Generalization for AI-Synthesized Voice Detection. - Hainan Ren; Li Lin; Chun-Hao Liu; Xin Wang; Shu Hu 001 (AAAI, 2025)

VB-KGN: Variational Bayesian Kernel Generation Networks for Motion Image Deblurring. - Ying Fu 003; Xinyu Zhu; Xiaojie Li 001; Xin Wang 045; Xi Wu 004; Shu Hu 001; Yi Wu; Siwei Lyu; Wei Liu 044 (IEEE Trans. Multim., 2025)

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 001; Jinrong Hu; Xi Wu 004; Xin Wang (CoRR, 2025)

Teacher Encoder-Student Decoder Denoising Guided Segmentation Network for Anomaly Detection. - Shixuan Song; Hao Chen; Shu Hu 001; Xin Wang; Jinrong Hu; Xi Wu 004 (CoRR, 2025)

Diffusion-empowered AutoPrompt MedSAM. - Peng Huang; Shu Hu 001; Bo Peng 006; Jiashu Zhang; Hongtu Zhu; Xi Wu 004; Xin Wang 045 (CoRR, 2025)

Robust AI-Generated Face Detection with Imbalanced Data. - Yamini Sri Krubha; Aryana Hou; Braden Vester; Web Walker; Xin Wang; Li Lin; Shu Hu 001 (CoRR, 2025)

Lane-Wise Highway Anomaly Detection. - Mei Qiu; William Lorenz Reindl; Yaobin Chen; Stanley Y. P. Chien; Shu Hu 001 (CoRR, 2025)

RLMiniStyler: Light-weight RL Style Agent for Arbitrary Sequential Neural Style Generation. - Jing Hu 009; Chengming Feng; Shu Hu 001; Ming-Ching Chang; Xin Li 005; Xi Wu 004; Xin Wang 045 (CoRR, 2025)

Improving Generalization of Medical Image Registration Foundation Model. - Jing Hu 009; Kaiwei Yu; Hongjiang Xian; Shu Hu 001; Xin Wang (CoRR, 2025)

Preserving AUC Fairness in Learning with Noisy Protected Groups. - Mingyang Wu; Li Lin; Wenbin Zhang 002; Xin Wang 030; Zhenhuan Yang; Shu Hu 001 (CoRR, 2025)

MedChat: A Multi-Agent Framework for Multimodal Diagnosis with Large Language Models. - Philip R. Liu; Sparsh Bansal; Jimmy Dinh; Aditya Pawar; Ramani Satishkumar; Shail Desai; Neeraj Gupta; Xin Wang; Shu Hu 001 (CoRR, 2025)

Rethinking Individual Fairness in Deepfake Detection. - Aryana Hou; Li Lin; Justin Li; Shu Hu 001 (CoRR, 2025)

Spotting the Fakes: A Deep Dive into GAN-Generated Face Detection. - Xin Wang 045; Ting Yu Tsai; Li Lin; Hui Guo; Shu Hu 001; Ming-Ching Chang; Pradeep K. Atrey; Siwei Lyu (ACM Trans. Multim. Comput. Commun. Appl., 2025)