Zhuxin Lei, Ziyuan Yang†, Yi Zhang†
International Conference on Learning Representations (ICLR)
This paper proposes a persistent-robustness adversarial defense for pre-trained encoders that improves robustness without sacrificing clean-task utility.
# AI Security # Adversarial Defense # Robust Learning
Zhuxin Lei, Ziyuan Yang†, Yi Zhang†
International Conference on Learning Representations (ICLR)
This paper proposes a persistent-robustness adversarial defense for pre-trained encoders that improves robustness without sacrificing clean-task utility.
# AI Security # Adversarial Defense # Robust Learning
Ziyuan Yang, Ming Yan, Yi Zhang†, Joey Tianyi Zhou
AAAI Conference on Artificial Intelligence (AAAI)
This work studies how backdoors can be injected into distilled datasets without access to the original raw training data, revealing new security risks for dataset distillation pipelines.
# AI Security # Backdoor Attack # Trustworthy AI
Ziyuan Yang, Ming Yan, Yi Zhang†, Joey Tianyi Zhou
AAAI Conference on Artificial Intelligence (AAAI)
This work studies how backdoors can be injected into distilled datasets without access to the original raw training data, revealing new security risks for dataset distillation pipelines.
# AI Security # Backdoor Attack # Trustworthy AI
Ziyuan Yang, Yingyu Chen, Chengrui Gao, Andrew Beng Jin Teoh, Bob Zhang, Yi Zhang†
IEEE Transactions on Information Forensics and Security (IEEE T-IFS)
This paper proposes FedPalm, a unified federated learning framework for palmprint verification that combines personalized local textural experts with a shared global expert to achieve robust performance in both closed-set and open-set scenarios while preserving biometric privacy.
# Federated Learning # Biometrics
Ziyuan Yang, Yingyu Chen, Chengrui Gao, Andrew Beng Jin Teoh, Bob Zhang, Yi Zhang†
IEEE Transactions on Information Forensics and Security (IEEE T-IFS)
This paper proposes FedPalm, a unified federated learning framework for palmprint verification that combines personalized local textural experts with a shared global expert to achieve robust performance in both closed-set and open-set scenarios while preserving biometric privacy.
# Federated Learning # Biometrics
Mengyu Sun, Ziyuan Yang†, Andrew Beng Jin Teoh, Junxu Liu†, Haibo Hu, Yi Zhang
International Joint Conference on Artificial Intelligence (IJCAI)
LURE studies multi-concept reawakening in diffusion models and introduces a latent-space unblocking mechanism to recover targeted concepts while retaining controllability.
# AI Security # Generative Models # Trustworthy AI
Mengyu Sun, Ziyuan Yang†, Andrew Beng Jin Teoh, Junxu Liu†, Haibo Hu, Yi Zhang
International Joint Conference on Artificial Intelligence (IJCAI)
LURE studies multi-concept reawakening in diffusion models and introduces a latent-space unblocking mechanism to recover targeted concepts while retaining controllability.
# AI Security # Generative Models # Trustworthy AI
Chengrui Gao, Ziyuan Yang†, Wei Jia, Lu Leng, Bob Zhang, Andrew Beng Jin Teoh
IEEE Transactions on Systems, Man, and Cybernetics: Systems (IEEE T-SMCS)
This survey reviews recent deep learning methods for palmprint recognition, covering datasets, modeling strategies, challenges, and future research directions.
# Biometrics # Survey
Chengrui Gao, Ziyuan Yang†, Wei Jia, Lu Leng, Bob Zhang, Andrew Beng Jin Teoh
IEEE Transactions on Systems, Man, and Cybernetics: Systems (IEEE T-SMCS)
This survey reviews recent deep learning methods for palmprint recognition, covering datasets, modeling strategies, challenges, and future research directions.
# Biometrics # Survey
Yingyu Chen*, Ziyuan Yang*, Yi Zhang
IEEE Signal Processing Letters (IEEE SPL)
This paper studies a more generalizable image manipulation detector that reduces task-specific tuning while improving robustness across manipulation types.
# AI Security # Image Forensics
Yingyu Chen*, Ziyuan Yang*, Yi Zhang
IEEE Signal Processing Letters (IEEE SPL)
This paper studies a more generalizable image manipulation detector that reduces task-specific tuning while improving robustness across manipulation types.
# AI Security # Image Forensics
Yingyu Chen, Yongqiang Huang, Yang Qin, Ziyuan Yang, Lang Yuan, Maosong Ran, Yi Zhang†
International Conference on Machine Learning (ICML)
This paper proposes FACT, a framework that reinterprets multi-label medical image diagnosis as a fuzzy alignment problem, leveraging vector quantization to construct atomic visual evidence and a graph convolutional network to embed comorbidity topology, with a metric-based fuzzy membership function derived from RKHS theory.
# Medical Analysis # Multi-Label Learning # Vision-Language
Yingyu Chen, Yongqiang Huang, Yang Qin, Ziyuan Yang, Lang Yuan, Maosong Ran, Yi Zhang†
International Conference on Machine Learning (ICML)
This paper proposes FACT, a framework that reinterprets multi-label medical image diagnosis as a fuzzy alignment problem, leveraging vector quantization to construct atomic visual evidence and a graph convolutional network to embed comorbidity topology, with a metric-based fuzzy membership function derived from RKHS theory.
# Medical Analysis # Multi-Label Learning # Vision-Language
Yingyu Chen, Ziyuan Yang, Zhongzhou Zhang, Ming Yan, Hui Yu, Yan Liu, Yi Zhang†
IEEE Transactions on Biomedical Engineering (IEEE T-BME)
This paper proposes a unified all-in-one framework for unpaired multi-modality semi-supervised medical image segmentation that leverages learnable knowledge banks, modality-adaptive weighting, and dual consistency to capture both modality-invariant and modality-specific features, enabling scalable and robust segmentation across multiple modalities.
# Medical Analysis # Weakly-Supervised Learning
Yingyu Chen, Ziyuan Yang, Zhongzhou Zhang, Ming Yan, Hui Yu, Yan Liu, Yi Zhang†
IEEE Transactions on Biomedical Engineering (IEEE T-BME)
This paper proposes a unified all-in-one framework for unpaired multi-modality semi-supervised medical image segmentation that leverages learnable knowledge banks, modality-adaptive weighting, and dual consistency to capture both modality-invariant and modality-specific features, enabling scalable and robust segmentation across multiple modalities.
# Medical Analysis # Weakly-Supervised Learning
Jiaojian Hu, Wu Rong, Lu Leng, Ziyuan Yang, Andrew Beng Jin Teoh, Jun Chu
IEEE Transactions on Instrumentation and Measurement (IEEE TIM)
Imported from the provided publication list. Details can be refined later.
# Biometrics # Representation Learning
Jiaojian Hu, Wu Rong, Lu Leng, Ziyuan Yang, Andrew Beng Jin Teoh, Jun Chu
IEEE Transactions on Instrumentation and Measurement (IEEE TIM)
Imported from the provided publication list. Details can be refined later.
# Biometrics # Representation Learning
Lang Yuan*, Yingyu Chen*, Ziyuan Yang, Yi Zhang†
Physics in Medicine and Biology (PMB)
This paper presents a multi-label medical diagnosis framework that combines spatial-disease feature condensation with Kolmogorov–Arnold layers to preserve disease localization and enhance modeling of inter-disease dependencies, achieving improved diagnostic accuracy and reliability.
# Medical Analysis # Multi-Label Learning # Kolmogorov-Arnold Networks
Lang Yuan*, Yingyu Chen*, Ziyuan Yang, Yi Zhang†
Physics in Medicine and Biology (PMB)
This paper presents a multi-label medical diagnosis framework that combines spatial-disease feature condensation with Kolmogorov–Arnold layers to preserve disease localization and enhance modeling of inter-disease dependencies, achieving improved diagnostic accuracy and reliability.
# Medical Analysis # Multi-Label Learning # Kolmogorov-Arnold Networks
Jun Kang, Lijun Sun, Xiang Liu, Ziyuan Yang, Bin Wang, Shihua Zhou, Ben Cao, Pan Zheng
IEEE Transactions on NanoBioscience (IEEE T-NB)
Imported from the provided publication list. Details can be refined later.
# AI Security # Privacy-Preserving Learning
Jun Kang, Lijun Sun, Xiang Liu, Ziyuan Yang, Bin Wang, Shihua Zhou, Ben Cao, Pan Zheng
IEEE Transactions on NanoBioscience (IEEE T-NB)
Imported from the provided publication list. Details can be refined later.
# AI Security # Privacy-Preserving Learning
Ziyuan Yang, Yingyu Chen, Zhiwen Wang, Hongming Shan, Yang Chen, Yi Zhang†
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
This paper introduces SCAN-PhysFed, a personalized federated learning framework for low-dose CT denoising that leverages scanning- and anatomy-level physics-informed prompts, guided by a medical large language model, to achieve robust and generalizable reconstruction across diverse scanning protocols while preserving patient privacy.
# Federated Learning # Medical Imaging # LLM
Ziyuan Yang, Yingyu Chen, Zhiwen Wang, Hongming Shan, Yang Chen, Yi Zhang†
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
This paper introduces SCAN-PhysFed, a personalized federated learning framework for low-dose CT denoising that leverages scanning- and anatomy-level physics-informed prompts, guided by a medical large language model, to achieve robust and generalizable reconstruction across diverse scanning protocols while preserving patient privacy.
# Federated Learning # Medical Imaging # LLM
Ziyuan Yang, Zerui Shao, Hui Yu, Huijie Huangfu, Andrew Beng Jin Teoh, Xiaoxiao Li, Hongming Shan, Yi Zhang
Pattern Recognition (PR)
This paper improves federated learning by modeling filter-aware relationships and personalizing local model structures for stronger cross-domain generalization.
# Federated Learning # Biometrics
Ziyuan Yang, Zerui Shao, Hui Yu, Huijie Huangfu, Andrew Beng Jin Teoh, Xiaoxiao Li, Hongming Shan, Yi Zhang
Pattern Recognition (PR)
This paper improves federated learning by modeling filter-aware relationships and personalizing local model structures for stronger cross-domain generalization.
# Federated Learning # Biometrics
Ziyuan Yang, Wenjun Xia, Wenjun Xia, Yingyu Chen, Xiaoxiao Li, Yi Zhang†
IEEE Transactions on Neural Networks and Learning Systems (IEEE T-NNLS)
HyperFed is a physics-driven personalized federated learning framework for CT imaging that uses hypernetworks to model institution-specific characteristics while preserving privacy and reconstruction quality across sites.
# Federated Learning # Medical Imaging
Ziyuan Yang, Wenjun Xia, Wenjun Xia, Yingyu Chen, Xiaoxiao Li, Yi Zhang†
IEEE Transactions on Neural Networks and Learning Systems (IEEE T-NNLS)
HyperFed is a physics-driven personalized federated learning framework for CT imaging that uses hypernetworks to model institution-specific characteristics while preserving privacy and reconstruction quality across sites.
# Federated Learning # Medical Imaging
Ziyuan Yang, Lu Leng, Andrew Beng Jin Teoh, Bob Zhang, Yi Zhang
IEEE Signal Processing Letters (IEEE SPL)
This work proposes a dynamic palmprint verification framework empowered by generative models to move beyond static feature matching.
# Biometrics # Generative Models
Ziyuan Yang, Lu Leng, Andrew Beng Jin Teoh, Bob Zhang, Yi Zhang
IEEE Signal Processing Letters (IEEE SPL)
This work proposes a dynamic palmprint verification framework empowered by generative models to move beyond static feature matching.
# Biometrics # Generative Models
Chengrui Gao*, Ziyuan Yang*, Tiong-Sik Ng, Min Zhu, Andrew Beng Jin Teoh
IEEE Internet of Things Journal (IEEE IoTJ)
This paper investigates cross-chirality verification and proposes a framework to bridge left and right palmprint domain gaps.
# Biometrics
Chengrui Gao*, Ziyuan Yang*, Tiong-Sik Ng, Min Zhu, Andrew Beng Jin Teoh
IEEE Internet of Things Journal (IEEE IoTJ)
This paper investigates cross-chirality verification and proposes a framework to bridge left and right palmprint domain gaps.
# Biometrics
Ziyuan Yang, Huijie Huangfu, Maosong Ran, Zhiwen Wang, Hui Yu, Mengyu Sun, Yi Zhang
IEEE Transactions on Artificial Intelligence (IEEE T-AI)
This paper presents a privacy-enhancing framework for low-dose CT denoising that preserves sensitive information while maintaining reconstruction quality.
# AI in Healthcare # Privacy-Preserving Learning # Medical Imaging
Ziyuan Yang, Huijie Huangfu, Maosong Ran, Zhiwen Wang, Hui Yu, Mengyu Sun, Yi Zhang
IEEE Transactions on Artificial Intelligence (IEEE T-AI)
This paper presents a privacy-enhancing framework for low-dose CT denoising that preserves sensitive information while maintaining reconstruction quality.
# AI in Healthcare # Privacy-Preserving Learning # Medical Imaging
Yunlong Liu, Lu Leng, Ziyuan Yang, Andrew Beng Jin Teoh, Bob Zhang
IEEE Transactions on Information Forensics and Security (IEEE T-IFS)
Imported from the provided publication list. Details can be refined later.
# Biometrics # AI Security # Representation Learning
Yunlong Liu, Lu Leng, Ziyuan Yang, Andrew Beng Jin Teoh, Bob Zhang
IEEE Transactions on Information Forensics and Security (IEEE T-IFS)
Imported from the provided publication list. Details can be refined later.
# Biometrics # AI Security # Representation Learning
Yunlong Liu, Lu Leng, Andrew Beng Jin Teoh, Bob Zhang, Jun Chu, Ziyuan Yang
IEEE Transactions on Information Forensics and Security (IEEE T-IFS)
Imported from the provided publication list. Details can be refined later.
# Biometrics # Representation Learning # AI Security
Yunlong Liu, Lu Leng, Andrew Beng Jin Teoh, Bob Zhang, Jun Chu, Ziyuan Yang
IEEE Transactions on Information Forensics and Security (IEEE T-IFS)
Imported from the provided publication list. Details can be refined later.
# Biometrics # Representation Learning # AI Security
Yongqiang Huang, Zerui Shao, Ziyuan Yang, Zexin Lu, Yi Zhang
Proceedings of the ACM Web Conference
Imported from the provided publication list. Details can be refined later.
# Federated Learning
Yongqiang Huang, Zerui Shao, Ziyuan Yang, Zexin Lu, Yi Zhang
Proceedings of the ACM Web Conference
Imported from the provided publication list. Details can be refined later.
# Federated Learning
Congcong Jia, Xingbo Dong, Yen Lung Lai, Andrew Beng Jin Teoh, Ziyuan Yang, Xiaoyan Zhang, Liwen Wang, Zhe Jin, Liangqiang Yang
Pattern Recognition (PR)
Imported from the provided publication list. Details can be refined later.
# Biometrics
Congcong Jia, Xingbo Dong, Yen Lung Lai, Andrew Beng Jin Teoh, Ziyuan Yang, Xiaoyan Zhang, Liwen Wang, Zhe Jin, Liangqiang Yang
Pattern Recognition (PR)
Imported from the provided publication list. Details can be refined later.
# Biometrics
Licheng Zhan, Yukun Du, Jie Jiang, Yingmei Wei, Tianjian Zhou, Ziyuan Yang
IEEE Transactions on Circuits and Systems for Video Technology (IEEE T-CSVT)
Imported from the provided publication list. Details can be refined later.
# 3D Segmentation # Weakly-Supervised Learning
Licheng Zhan, Yukun Du, Jie Jiang, Yingmei Wei, Tianjian Zhou, Ziyuan Yang
IEEE Transactions on Circuits and Systems for Video Technology (IEEE T-CSVT)
Imported from the provided publication list. Details can be refined later.
# 3D Segmentation # Weakly-Supervised Learning
Yingyu Chen, Ziyuan Yang, Yongqiang Huang, Xulei Yang, Siyong Yeo, Yi Zhang†
IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
This paper proposes a trustworthy disentangled framework for multi-label medical image classification that uses multi-CLS token transformers with multimodal refinement and a novel evidence-based loss to capture disease-specific features, model inter-disease relationships, and provide reliable predictions with uncertainty estimates.
# Medical Analysis # Trustworthy AI # Multi-Label Learning
Yingyu Chen, Ziyuan Yang, Yongqiang Huang, Xulei Yang, Siyong Yeo, Yi Zhang†
IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
This paper proposes a trustworthy disentangled framework for multi-label medical image classification that uses multi-CLS token transformers with multimodal refinement and a novel evidence-based loss to capture disease-specific features, model inter-disease relationships, and provide reliable predictions with uncertainty estimates.
# Medical Analysis # Trustworthy AI # Multi-Label Learning
Yingyu Chen, Ziyuan Yang, Deng Xiong, Yi Zhang†
IEEE International Conference on Acoustics, Speech and Signal Processing (IEEE ICASSP)
This paper proposes MM-DC, a multi-modality semi-supervised segmentation framework that uses modality modulation layers and dual-consistency constraints to unify features across all modalities without relying on generative methods, achieving robust segmentation across multiple modalities.
# Medical Image Segmentation # Weakly-Supervised Learning
Yingyu Chen, Ziyuan Yang, Deng Xiong, Yi Zhang†
IEEE International Conference on Acoustics, Speech and Signal Processing (IEEE ICASSP)
This paper proposes MM-DC, a multi-modality semi-supervised segmentation framework that uses modality modulation layers and dual-consistency constraints to unify features across all modalities without relying on generative methods, achieving robust segmentation across multiple modalities.
# Medical Image Segmentation # Weakly-Supervised Learning
Mengyu Sun, Ziyuan Yang, Maosong Ran, Zhiwen Wang, Hui Yu, Yi Zhang
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Imported from the provided publication list. Details can be refined later.
# AI Security # Privacy-Preserving Learning # AI in Healthcare
Mengyu Sun, Ziyuan Yang, Maosong Ran, Zhiwen Wang, Hui Yu, Yi Zhang
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Imported from the provided publication list. Details can be refined later.
# AI Security # Privacy-Preserving Learning # AI in Healthcare
Fengxiang Liao, Lu Leng, Ziyuan Yang, Bob Zhang
International Journal of Neural Systems
Imported from the provided publication list. Details can be refined later.
# Biometrics
Fengxiang Liao, Lu Leng, Ziyuan Yang, Bob Zhang
International Journal of Neural Systems
Imported from the provided publication list. Details can be refined later.
# Biometrics
Hui Wang, Zhongzhou Zhang, Ziyuan Yang, Guangcheng Wang, Yi Zhang
IEEE Transactions on Emerging Topics in Computational Intelligence (IEEE T-ETCI)
Imported from the provided publication list. Details can be refined later.
# Image Quality Assessment
Hui Wang, Zhongzhou Zhang, Ziyuan Yang, Guangcheng Wang, Yi Zhang
IEEE Transactions on Emerging Topics in Computational Intelligence (IEEE T-ETCI)
Imported from the provided publication list. Details can be refined later.
# Image Quality Assessment
Huijie Huangfu, Ziyuan Yang, Maosong Ran, Yingyu Chen, Weihua Zhang, Jingfeng Lu, Yi Zhang†
Neural Computing and Applications
Imported from the provided publication list. Details can be refined later.
# Representation Learning # AI in Healthcare
Huijie Huangfu, Ziyuan Yang, Maosong Ran, Yingyu Chen, Weihua Zhang, Jingfeng Lu, Yi Zhang†
Neural Computing and Applications
Imported from the provided publication list. Details can be refined later.
# Representation Learning # AI in Healthcare
Maosong Ran, Ziyuan Yang, Tao Wang, Zhiwen Wang, Jingfeng Lu, Yi Zhang†
IEEE Journal of Selected Topics in Signal Processing (IEEE JSTSP)
Imported from the provided publication list. Details can be refined later.
# AI in Healthcare # Medical Imaging
Maosong Ran, Ziyuan Yang, Tao Wang, Zhiwen Wang, Jingfeng Lu, Yi Zhang†
IEEE Journal of Selected Topics in Signal Processing (IEEE JSTSP)
Imported from the provided publication list. Details can be refined later.
# AI in Healthcare # Medical Imaging
Ziyuan Yang, Ming Kang, Andrew Beng Jin Teoh
IEEE Transactions on Information Forensics and Security (IEEE T-IFS)
This work proposes a dual-level cancelable biometric framework for secure palmprint verification and hack-proof template storage.
# Biometrics # Privacy-Preserving Learning # AI Security
Ziyuan Yang, Ming Kang, Andrew Beng Jin Teoh
IEEE Transactions on Information Forensics and Security (IEEE T-IFS)
This work proposes a dual-level cancelable biometric framework for secure palmprint verification and hack-proof template storage.
# Biometrics # Privacy-Preserving Learning # AI Security
Ziyuan Yang, Andrew Beng Jin Teoh, Bob Zhang, Lu Leng, Yi Zhang
International Journal of Computer Vision (IJCV)
This paper introduces a physics-driven, spectrum-consistent federated learning framework for robust palmprint verification across sensing conditions.
# Federated Learning # Biometrics
Ziyuan Yang, Andrew Beng Jin Teoh, Bob Zhang, Lu Leng, Yi Zhang
International Journal of Computer Vision (IJCV)
This paper introduces a physics-driven, spectrum-consistent federated learning framework for robust palmprint verification across sensing conditions.
# Federated Learning # Biometrics
Ziyuan Yang, Yingyu Chen, Mengyu Sun, Yi Zhang†
International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI)
This paper presents a novel pre-imaging backdoor attack called LTGM that injects learnable triggers into measured medical data to compromise downstream image analysis tasks without affecting reconstruction quality, exposing vulnerabilities in full-stack medical image analysis systems.
# Medical Image Analysis # Trustworthy AI
Ziyuan Yang, Yingyu Chen, Mengyu Sun, Yi Zhang†
International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI)
This paper presents a novel pre-imaging backdoor attack called LTGM that injects learnable triggers into measured medical data to compromise downstream image analysis tasks without affecting reconstruction quality, exposing vulnerabilities in full-stack medical image analysis systems.
# Medical Image Analysis # Trustworthy AI
Zhiwen Wang, Maosong Ran, Ziyuan Yang
IEEE Transactions on Circuits and Systems for Video Technology (IEEE T-CSVT)
This work proposes an equivariant imaging prior for generalizable MRI motion correction under compressed sensing settings.
# AI in Healthcare # Medical Imaging
Zhiwen Wang, Maosong Ran, Ziyuan Yang
IEEE Transactions on Circuits and Systems for Video Technology (IEEE T-CSVT)
This work proposes an equivariant imaging prior for generalizable MRI motion correction under compressed sensing settings.
# AI in Healthcare # Medical Imaging
C Gao, Z Yang, M Zhu, ABJ Teoh
IEEE International Conference on Acoustics, Speech and Signal Processing (IEEE ICASSP)
Imported from the provided publication list. Details can be refined later.
# Biometrics # Representation Learning
C Gao, Z Yang, M Zhu, ABJ Teoh
IEEE International Conference on Acoustics, Speech and Signal Processing (IEEE ICASSP)
Imported from the provided publication list. Details can be refined later.
# Biometrics # Representation Learning
Zhiwen Wang, Zexin Lu, Tao Wang, Ziyuan Yang, Hui Yu, Zhongxian Wang, Yingyu Chen, Jingfeng Lu, Yi Zhang†
IEEE Transactions on Radiation and Plasma Medical Sciences (IEEE T-RPMS)
This paper presents an orthogonal meta-learning framework for test-time adaptation in medical imaging, enabling deep learning models to quickly adjust to unseen domain variations and distribution mismatches, improving reconstruction performance on new MRI and CT data.
# Medical Imaging
Zhiwen Wang, Zexin Lu, Tao Wang, Ziyuan Yang, Hui Yu, Zhongxian Wang, Yingyu Chen, Jingfeng Lu, Yi Zhang†
IEEE Transactions on Radiation and Plasma Medical Sciences (IEEE T-RPMS)
This paper presents an orthogonal meta-learning framework for test-time adaptation in medical imaging, enabling deep learning models to quickly adjust to unseen domain variations and distribution mismatches, improving reconstruction performance on new MRI and CT data.
# Medical Imaging
Yingyu Chen, Ziyuan Yang, Chenyu Shen, Zhiwen Wang, Zhongzhou Zhang, Yang Qin, Xin Wei, Jingfeng Lu, Yan Liu, Yi Zhang†
Computers in Biology and Medicine
This paper introduces an uncertainty-aware semi-supervised medical image segmentation framework that integrates Dempster–Shafer evidence theory to generate reliable pseudo labels, enforce consistency across perturbed predictions, and provide principled uncertainty quantification for improved generalization.
# Medical Image Segmentation # Trustworthy AI # Weakly-Supervised Learning
Yingyu Chen, Ziyuan Yang, Chenyu Shen, Zhiwen Wang, Zhongzhou Zhang, Yang Qin, Xin Wei, Jingfeng Lu, Yan Liu, Yi Zhang†
Computers in Biology and Medicine
This paper introduces an uncertainty-aware semi-supervised medical image segmentation framework that integrates Dempster–Shafer evidence theory to generate reliable pseudo labels, enforce consistency across perturbed predictions, and provide principled uncertainty quantification for improved generalization.
# Medical Image Segmentation # Trustworthy AI # Weakly-Supervised Learning
A Wang, J Lu, Z Yang, W Liang, H Zhuang, Y Zhang
IEEE Transactions on Instrumentation and Measurement
Imported from the provided publication list. Details can be refined later.
# AI in Healthcare
A Wang, J Lu, Z Yang, W Liang, H Zhuang, Y Zhang
IEEE Transactions on Instrumentation and Measurement
Imported from the provided publication list. Details can be refined later.
# AI in Healthcare
Zexin Lu, Qi Gao, Tao Wang, Ziyuan Yang, Zhiwen Wang, Hui Yu, Hu Chen, Jiliu Zhou, Hongming Shan, Yi Zhang
IEEE Transactions on Radiation and Plasma Medical Sciences
Imported from the provided publication list. Details can be refined later.
# AI in Healthcare # Generative Models
Zexin Lu, Qi Gao, Tao Wang, Ziyuan Yang, Zhiwen Wang, Hui Yu, Hu Chen, Jiliu Zhou, Hongming Shan, Yi Zhang
IEEE Transactions on Radiation and Plasma Medical Sciences
Imported from the provided publication list. Details can be refined later.
# AI in Healthcare # Generative Models
Hui Yu, Ziyuan Yang, Z Zhang, T Wang, M Ran, Z Wang, L Liu, Y Liu, Yi Zhang
Computers in Biology and Medicine
Imported from the provided publication list. Details can be refined later.
# AI in Healthcare # Medical Image Segmentation
Hui Yu, Ziyuan Yang, Z Zhang, T Wang, M Ran, Z Wang, L Liu, Y Liu, Yi Zhang
Computers in Biology and Medicine
Imported from the provided publication list. Details can be refined later.
# AI in Healthcare # Medical Image Segmentation
Chenyu Shen, Changjun Tie, Ziyuan Yang, Na Zhang, Yi Zhang
IEEE Transactions on Radiation and Plasma Medical Sciences
Imported from the provided publication list. Details can be refined later.
# AI in Healthcare # Generative Models
Chenyu Shen, Changjun Tie, Ziyuan Yang, Na Zhang, Yi Zhang
IEEE Transactions on Radiation and Plasma Medical Sciences
Imported from the provided publication list. Details can be refined later.
# AI in Healthcare # Generative Models
Chengrui Gao, Ziyuan Yang, Andrew Beng Jin Teoh, Min Zhu
Chinese Conference on Biometric Recognition, 14-24
Imported from the provided publication list. Details can be refined later.
# Biometrics
Chengrui Gao, Ziyuan Yang, Andrew Beng Jin Teoh, Min Zhu
Chinese Conference on Biometric Recognition, 14-24
Imported from the provided publication list. Details can be refined later.
# Biometrics
Ziyuan Yang, Huijie Huangfu, Lu Leng, Bob Zhang, Andrew Beng Jin Teoh, Yi Zhang
IEEE Transactions on Information Forensics and Security (IEEE T-IFS)
This paper presents a comprehensive competition mechanism for palmprint recognition to improve discriminative representation learning and verification performance.
# Biometrics # Representation Learning
Ziyuan Yang, Huijie Huangfu, Lu Leng, Bob Zhang, Andrew Beng Jin Teoh, Yi Zhang
IEEE Transactions on Information Forensics and Security (IEEE T-IFS)
This paper presents a comprehensive competition mechanism for palmprint recognition to improve discriminative representation learning and verification performance.
# Biometrics # Representation Learning
Ziyuan Yang, Yingyu Chen, Huijie Huangfu, Maosong Ran, Hui Wang, Xiaoxiao Li, Yi Zhang†
IEEE Journal of Biomedical and Health Informatics (IEEE JBHI)
This paper proposes DC-SFL, a hybrid split-federated learning framework for U-shaped medical image networks that combines dynamic weight correction and homomorphic encryption to ensure data and model privacy, stabilize training under heterogeneous data, and achieve competitive performance across medical imaging tasks.
# Federated Learning # Medical Learning
Ziyuan Yang, Yingyu Chen, Huijie Huangfu, Maosong Ran, Hui Wang, Xiaoxiao Li, Yi Zhang†
IEEE Journal of Biomedical and Health Informatics (IEEE JBHI)
This paper proposes DC-SFL, a hybrid split-federated learning framework for U-shaped medical image networks that combines dynamic weight correction and homomorphic encryption to ensure data and model privacy, stabilize training under heterogeneous data, and achieve competitive performance across medical imaging tasks.
# Federated Learning # Medical Learning
Ziyuan Yang, Lu Leng, Andrew Beng Jin Teoh
Knowledge-Based Systems (KBS)
This paper studies cross-database attacks against coding-based palmprint templates and analyzes template security under transfer settings.
# Biometrics # AI Security
Ziyuan Yang, Lu Leng, Andrew Beng Jin Teoh
Knowledge-Based Systems (KBS)
This paper studies cross-database attacks against coding-based palmprint templates and analyzes template security under transfer settings.
# Biometrics # AI Security
Ziyuan Yang, Lu Leng, Andrew Beng Jin Teoh, Bob Zhang, Yi Zhang
Knowledge-Based Systems (KBS)
Imported from the provided publication list. Details can be refined later.
# Biometrics
Ziyuan Yang, Lu Leng, Andrew Beng Jin Teoh, Bob Zhang, Yi Zhang
Knowledge-Based Systems (KBS)
Imported from the provided publication list. Details can be refined later.
# Biometrics
Ziyuan Yang, Lu Leng, Bob Zhang
Applied Intelligence (APIN)
This paper presents two style-transfer-based palmprint reconstruction attacks and evaluates their threat to biometric template security.
# Biometrics # AI Security
Ziyuan Yang, Lu Leng, Bob Zhang
Applied Intelligence (APIN)
This paper presents two style-transfer-based palmprint reconstruction attacks and evaluates their threat to biometric template security.
# Biometrics # AI Security
Ziyuan Yang, Wenjun Xia, Yifan Qiao, Zexin Lu, Bob Zhang, Lu Leng, Yi Zhang
IEEE Transactions on Instrumentation and Measurement (IEEE T-IM)
CO3Net is a coordinate-aware contrastive competitive network designed to improve discriminative palmprint recognition.
# Biometrics # Representation Learning
Ziyuan Yang, Wenjun Xia, Yifan Qiao, Zexin Lu, Bob Zhang, Lu Leng, Yi Zhang
IEEE Transactions on Instrumentation and Measurement (IEEE T-IM)
CO3Net is a coordinate-aware contrastive competitive network designed to improve discriminative palmprint recognition.
# Biometrics # Representation Learning
Ziyuan Yang, Lu Leng, Bob Zhang
Artificial Intelligence Review (AIRE)
This paper proposes multi-order texture features for more discriminative palmprint recognition.
# Biometrics
Ziyuan Yang, Lu Leng, Bob Zhang
Artificial Intelligence Review (AIRE)
This paper proposes multi-order texture features for more discriminative palmprint recognition.
# Biometrics
Ziyuan Yang, Lu Leng, Weidong Min
Multimedia Tools and Applications
Imported from the provided publication list. Details can be refined later.
# Biometrics
Ziyuan Yang, Lu Leng, Weidong Min
Multimedia Tools and Applications
Imported from the provided publication list. Details can be refined later.
# Biometrics
Chengrui Gao, Junlong Cheng, Ziyuan Yang, Yingyu Chen, Min Zhu†
IEEE Transactions on Neural Networks and Learning Systems (IEEE T-NNLS)
This paper introduces SCA-Former, a Transformer-like U-shaped network for medical image segmentation that employs a stream-cross attention module to capture both local and long-range multi-scale features, achieving improved performance with a compact model size.
# Federated Learning # Medical Imaging
Chengrui Gao, Junlong Cheng, Ziyuan Yang, Yingyu Chen, Min Zhu†
IEEE Transactions on Neural Networks and Learning Systems (IEEE T-NNLS)
This paper introduces SCA-Former, a Transformer-like U-shaped network for medical image segmentation that employs a stream-cross attention module to capture both local and long-range multi-scale features, achieving improved performance with a compact model size.
# Federated Learning # Medical Imaging
Xiang Chen, Wenjun Xia, Ziyuan Yang
IEEE Transactions on Neural Networks and Learning Systems (IEEE T-NNLS)
SOUL-Net is a sparse and low-rank unrolling network for spectral CT image reconstruction that improves image quality while preserving reconstruction efficiency.
# AI in Healthcare # Medical Imaging
Xiang Chen, Wenjun Xia, Ziyuan Yang
IEEE Transactions on Neural Networks and Learning Systems (IEEE T-NNLS)
SOUL-Net is a sparse and low-rank unrolling network for spectral CT image reconstruction that improves image quality while preserving reconstruction efficiency.
# AI in Healthcare # Medical Imaging
Chenyu Shen, Ziyuan Yang, Yi Zhang
International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI)
Imported from the provided publication list. Details can be refined later.
# AI in Healthcare # Generative Models
Chenyu Shen, Ziyuan Yang, Yi Zhang
International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI)
Imported from the provided publication list. Details can be refined later.
# AI in Healthcare # Generative Models
Meiling Fang, Marco Huber, Julian Fierrez, Raghavendra Ramachandra, Naser Damer, Alhasan Alkhaddour, Maksim Kasantcev, Vasiliy Pryadchenko, Ziyuan Yang, Huijie Huangfu, Yingyu Chen, Yi Zhang, Yuchen Pan, Junjun Jiang, Xianming Liu, Xianyun Sun, Caiyong Wang, Xingyu Liu, Zhaohua Chang, Guangzhe Zhao, Juan Tapia, Lazaro Gonzalez-Soler, Carlos Aravena, Daniel Schulz
IEEE International Joint Conference on Biometrics (IEEE IJCB)
A face presentation attack detection method based on synthetic data.
# Biometrics
Meiling Fang, Marco Huber, Julian Fierrez, Raghavendra Ramachandra, Naser Damer, Alhasan Alkhaddour, Maksim Kasantcev, Vasiliy Pryadchenko, Ziyuan Yang, Huijie Huangfu, Yingyu Chen, Yi Zhang, Yuchen Pan, Junjun Jiang, Xianming Liu, Xianyun Sun, Caiyong Wang, Xingyu Liu, Zhaohua Chang, Guangzhe Zhao, Juan Tapia, Lazaro Gonzalez-Soler, Carlos Aravena, Daniel Schulz
IEEE International Joint Conference on Biometrics (IEEE IJCB)
A face presentation attack detection method based on synthetic data.
# Biometrics
Wenjun Xia, Ziyuan Yang, Zexin Lu
IEEE Transactions on Radiation and Plasma Medical Sciences (IEEE T-RPMS)
RegFormer introduces a local-nonlocal regularization framework for sparse-view CT reconstruction to improve robustness and reconstruction fidelity.
# AI in Healthcare # Medical Imaging
Wenjun Xia, Ziyuan Yang, Zexin Lu
IEEE Transactions on Radiation and Plasma Medical Sciences (IEEE T-RPMS)
RegFormer introduces a local-nonlocal regularization framework for sparse-view CT reconstruction to improve robustness and reconstruction fidelity.
# AI in Healthcare # Medical Imaging
Hui Wang, G Wang, Wenjun Xia, Ziyuan Yang, Hui Yu, Leyuan Fang, Yi Zhang
IEEE Journal of Selected Topics in Signal Processing (IEEE JSTSP)
Imported from the provided publication list. Details can be refined later.
# Image Quality Assessment
Hui Wang, G Wang, Wenjun Xia, Ziyuan Yang, Hui Yu, Leyuan Fang, Yi Zhang
IEEE Journal of Selected Topics in Signal Processing (IEEE JSTSP)
Imported from the provided publication list. Details can be refined later.
# Image Quality Assessment
Deyu Lin, C Yao, W Min, Q Han, K He, Ziyuan Yang, X Lei, B Guo
IEEE Sensors Journal
Imported from the provided publication list. Details can be refined later.
# Intelligent Systems
Deyu Lin, C Yao, W Min, Q Han, K He, Ziyuan Yang, X Lei, B Guo
IEEE Sensors Journal
Imported from the provided publication list. Details can be refined later.
# Intelligent Systems
Chengrui Gao, Junlong Cheng, Ziyuan Yang, Yingyu Chen, Fengjie Wang, Min Zhu†
IEEE International Symposium on Biomedical Imaging (IEEE ISBI)
This paper proposes SAA-Net, a U-shaped medical image segmentation network that uses a Stream-Across Attention module with multi-scale spatial and channel attention branches, along with DenseMLP for multi-level feature learning, to capture long-range dependencies and improve segmentation performance.
# Medical Image Segmentation
Chengrui Gao, Junlong Cheng, Ziyuan Yang, Yingyu Chen, Fengjie Wang, Min Zhu†
IEEE International Symposium on Biomedical Imaging (IEEE ISBI)
This paper proposes SAA-Net, a U-shaped medical image segmentation network that uses a Stream-Across Attention module with multi-scale spatial and channel attention branches, along with DenseMLP for multi-level feature learning, to capture long-range dependencies and improve segmentation performance.
# Medical Image Segmentation
Yingyu Chen, Ziyuan Yang, Chenyu Shen, Zhiwen Wang, Yang Qin, Yi Zhang†
IEEE International Symposium on Biomedical Imaging (IEEE ISBI)
This paper introduces EVIL, a semi-supervised medical image segmentation framework that leverages Dempster–Shafer evidence theory to provide accurate uncertainty quantification, generate trustworthy pseudo labels, and enforce consistency regularization for improved generalization with limited labeled data.
# Medical Image Segmentation # Weakly-Supervised Learning # Trustworthy AI
Yingyu Chen, Ziyuan Yang, Chenyu Shen, Zhiwen Wang, Yang Qin, Yi Zhang†
IEEE International Symposium on Biomedical Imaging (IEEE ISBI)
This paper introduces EVIL, a semi-supervised medical image segmentation framework that leverages Dempster–Shafer evidence theory to provide accurate uncertainty quantification, generate trustworthy pseudo labels, and enforce consistency regularization for improved generalization with limited labeled data.
# Medical Image Segmentation # Weakly-Supervised Learning # Trustworthy AI
Z Wang, Z Wang, Z Zhang, Z Yang, M Ran, H Yu, Z Yu, Y Zhang
2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 1-5
Imported from the provided publication list. Details can be refined later.
# AI in Healthcare
Z Wang, Z Wang, Z Zhang, Z Yang, M Ran, H Yu, Z Yu, Y Zhang
2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 1-5
Imported from the provided publication list. Details can be refined later.
# AI in Healthcare
Wenjun Xia, Ziyuan Yang, Q. Zhou, Z. Lu, Z. Wang, Yi Zhang†
International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI)
Imported from the provided publication list. Details can be refined later.
# AI in Healthcare # Medical Imaging
Wenjun Xia, Ziyuan Yang, Q. Zhou, Z. Lu, Z. Wang, Yi Zhang†
International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI)
Imported from the provided publication list. Details can be refined later.
# AI in Healthcare # Medical Imaging
W Rong, Z Yang, L Leng
2022 IEEE International Joint Conference on Biometrics (IJCB), 1-9
Imported from the provided publication list. Details can be refined later.
# Biometrics # Representation Learning
W Rong, Z Yang, L Leng
2022 IEEE International Joint Conference on Biometrics (IJCB), 1-9
Imported from the provided publication list. Details can be refined later.
# Biometrics # Representation Learning
T Wang, Z Lu, Z Yang, W Xia, M Hou, H Sun, Y Liu, H Chen, J Zhou
IEEE Transactions on Radiation and Plasma Medical Sciences
Imported from the provided publication list. Details can be refined later.
# AI in Healthcare
T Wang, Z Lu, Z Yang, W Xia, M Hou, H Sun, Y Liu, H Chen, J Zhou
IEEE Transactions on Radiation and Plasma Medical Sciences
Imported from the provided publication list. Details can be refined later.
# AI in Healthcare
Ziyuan Yang, Lu Leng, Wei Min
IEEE Transactions on Instrumentation and Measurement (IEEE TIM)
This paper proposes an extreme-downsampling and joint-feature framework for coding-based palmprint recognition.
# Biometrics
Ziyuan Yang, Lu Leng, Wei Min
IEEE Transactions on Instrumentation and Measurement (IEEE TIM)
This paper proposes an extreme-downsampling and joint-feature framework for coding-based palmprint recognition.
# Biometrics
Qi Wang, Weidong Min, Qi Han, Ziyuan Yang, Xin Xiong, Haoyu Zhao
Information Sciences
Imported from the provided publication list. Details can be refined later.
# Computer Vision
Qi Wang, Weidong Min, Qi Han, Ziyuan Yang, Xin Xiong, Haoyu Zhao
Information Sciences
Imported from the provided publication list. Details can be refined later.
# Computer Vision
Haoyu Zhao, Weidong Min, J Xu, Qing Han, W Li, Qi Wang, Ziyuan Yang, L Zhou
IEEE Transactions on Emerging Topics in Computing
Imported from the provided publication list. Details can be refined later.
# Computer Vision
Haoyu Zhao, Weidong Min, J Xu, Qing Han, W Li, Qi Wang, Ziyuan Yang, L Zhou
IEEE Transactions on Emerging Topics in Computing
Imported from the provided publication list. Details can be refined later.
# Computer Vision
Lu Leng, Ziyuan Yang, Cheonshik Kim, Yue Zhang
Sensors
Imported from the provided publication list. Details can be refined later.
# Medical Imaging
Lu Leng, Ziyuan Yang, Cheonshik Kim, Yue Zhang
Sensors
Imported from the provided publication list. Details can be refined later.
# Medical Imaging
Lu Leng, Ziyuan Yang, Weidong Min
IET Biometrics
Imported from the provided publication list. Details can be refined later.
# Biometrics
Lu Leng, Ziyuan Yang, Weidong Min
IET Biometrics
Imported from the provided publication list. Details can be refined later.
# Biometrics
Ziyuan Yang, Lu Leng, Byung-Gyu Kim
Electronics
Imported from the provided publication list. Details can be refined later.
# AI in Healthcare # Medical Imaging
Ziyuan Yang, Lu Leng, Byung-Gyu Kim
Electronics
Imported from the provided publication list. Details can be refined later.
# AI in Healthcare # Medical Imaging
Ziyuan Yang, Jing Li, Weidong Min, Qi Wang
Applied Sciences
Imported from the provided publication list. Details can be refined later.
# Computer Vision
Ziyuan Yang, Jing Li, Weidong Min, Qi Wang
Applied Sciences
Imported from the provided publication list. Details can be refined later.
# Computer Vision