Selected Recent Publications (view all )
PalmIR: Blind Palmprint Image Restoration with Palm-oriented Mixture-of-Experts and Downstream Alignment for Robust Identification
Pinxian Zeng, Chenqin Wu, Bob Zhang
IEEE Transactions on Information Forensics and Security (TIFS) 2026
We propose PalmIR, a novel blind palmprint restoration framework featuring a Palm-oriented Mixture-of-Experts (PalmMoE) network that adaptively processes mixed degradations using grouped domain-specific experts, and a Restoration-Identification Alignment (RIA) module that preserves identity-critical features through multi-task learning.
PalmIR: Blind Palmprint Image Restoration with Palm-oriented Mixture-of-Experts and Downstream Alignment for Robust Identification
Pinxian Zeng, Chenqin Wu, Bob Zhang
IEEE Transactions on Information Forensics and Security (TIFS) 2026
We propose PalmIR, a novel blind palmprint restoration framework featuring a Palm-oriented Mixture-of-Experts (PalmMoE) network that adaptively processes mixed degradations using grouped domain-specific experts, and a Restoration-Identification Alignment (RIA) module that preserves identity-critical features through multi-task learning.
MPOTSurv: Modality-balancing Prototype Learning with Optimal Transport-based Integration for Multi-modal Survival Prediction
Pinxian Zeng, Bob Zhang
ACM Transactions on Intelligent Systems and Technology 2026
we propose MPOTSurv, a multi-modal framework that leverages Modality-Balancing Prototype Learning (MBPL) with Optimal Transport (OT) to map disparate modalities onto a symmetrical, unified latent manifold with more balanced importance for accurate cancer Survival prediction. Within the MBPL module, we introduce Sinkhorn-Knopp OT to achieve principled feature aggregation, enforcing strict marginal constraints that suppress morphological noise in WSI and tabular data.
MPOTSurv: Modality-balancing Prototype Learning with Optimal Transport-based Integration for Multi-modal Survival Prediction
Pinxian Zeng, Bob Zhang
ACM Transactions on Intelligent Systems and Technology 2026
we propose MPOTSurv, a multi-modal framework that leverages Modality-Balancing Prototype Learning (MBPL) with Optimal Transport (OT) to map disparate modalities onto a symmetrical, unified latent manifold with more balanced importance for accurate cancer Survival prediction. Within the MBPL module, we introduce Sinkhorn-Knopp OT to achieve principled feature aggregation, enforcing strict marginal constraints that suppress morphological noise in WSI and tabular data.
Dual-Path Latent Diffusion with Multi-Task Interaction for CT-to-PET Translation and Tumor Segmentation
Pinxian Zeng, Xinyi Zeng, Bob Zhang
ICASSP 2026 - 2026 IEEE International Conference on Acoustics, Speech and Signal Processing 2026
We propose a dual-path latent diffusion framework with multi-task interaction for CT-to-PET translation and tumor segmentation. Our method achieves state-of-the-art performance on both tasks.
Dual-Path Latent Diffusion with Multi-Task Interaction for CT-to-PET Translation and Tumor Segmentation
Pinxian Zeng, Xinyi Zeng, Bob Zhang
ICASSP 2026 - 2026 IEEE International Conference on Acoustics, Speech and Signal Processing 2026
We propose a dual-path latent diffusion framework with multi-task interaction for CT-to-PET translation and tumor segmentation. Our method achieves state-of-the-art performance on both tasks.
Plug-in-and-Play Dual-Domain Mixup Augmentation Network for PET Denoising at Multiple Dose Levels
Pinxian Zeng, Bob Zhang, Haozhuo Zhang
ICASSP 2026 - 2026 IEEE International Conference on Acoustics, Speech and Signal Processing 2026
we propose a Dual-Domain Mixup Augmentation Network (D2MA-Net) for robust multi-dose PET denoising using only training samples of a single dose level.
Plug-in-and-Play Dual-Domain Mixup Augmentation Network for PET Denoising at Multiple Dose Levels
Pinxian Zeng, Bob Zhang, Haozhuo Zhang
ICASSP 2026 - 2026 IEEE International Conference on Acoustics, Speech and Signal Processing 2026
we propose a Dual-Domain Mixup Augmentation Network (D2MA-Net) for robust multi-dose PET denoising using only training samples of a single dose level.
MGTP: Multi-Granularity Textual Prompts for Low-Dose Brain PET Image Denoising via Adversarial Diffusion Model
Jiaqi Cui, Xinyi Zeng, Pinxian Zeng, Yan Wang
IEEE Journal of Biomedical and Health Informatics (JBHI) 2026
Multi-granularity textual prompts for low-dose brain PET image denoising via adversarial diffusion model.
MGTP: Multi-Granularity Textual Prompts for Low-Dose Brain PET Image Denoising via Adversarial Diffusion Model
Jiaqi Cui, Xinyi Zeng, Pinxian Zeng, Yan Wang
IEEE Journal of Biomedical and Health Informatics (JBHI) 2026
Multi-granularity textual prompts for low-dose brain PET image denoising via adversarial diffusion model.
Incorporating the Refractory Period into Spiking Neural Networks through Spike-Triggered Threshold Dynamics
Yang Li, Xinyi Zeng, Ziyu Xue, Pinxian Zeng, Zhen Zhang, Yan Wang
ACM Multimedia 2025
Incorporating the refractory period into spiking neural networks through spike-triggered threshold dynamics.
Incorporating the Refractory Period into Spiking Neural Networks through Spike-Triggered Threshold Dynamics
Yang Li, Xinyi Zeng, Ziyu Xue, Pinxian Zeng, Zhen Zhang, Yan Wang
ACM Multimedia 2025
Incorporating the refractory period into spiking neural networks through spike-triggered threshold dynamics.
MAK-GAN: Multi-level Adaptive Convolutional Kernels for Asymmetric Multi-modal PET Reconstruction
Xinyi Zeng, Pinxian Zeng*, Yan Wang, Jiaqi Cui, Luping Zhou, Caiwen Jiang, Han Zhang, Dinggang Shen (* co-first)
MICCAI 2025
We propose MAK-GAN, a multi-level adaptive convolutional kernel framework for asymmetric multi-modal PET reconstruction.
MAK-GAN: Multi-level Adaptive Convolutional Kernels for Asymmetric Multi-modal PET Reconstruction
Xinyi Zeng, Pinxian Zeng*, Yan Wang, Jiaqi Cui, Luping Zhou, Caiwen Jiang, Han Zhang, Dinggang Shen (* co-first)
MICCAI 2025
We propose MAK-GAN, a multi-level adaptive convolutional kernel framework for asymmetric multi-modal PET reconstruction.
Multi-Modal Long-Short Distance Attention-Based Transformer-GAN for PET Reconstruction With Auxiliary MRI
Pinxian Zeng, Xinyi Zeng, Luping Zhou, Chen Zu, Yan Wang
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT) 2025
We propose a multi-modal Transformer-GAN with long-short distance attention mechanisms for PET reconstruction using auxiliary MRI.
Multi-Modal Long-Short Distance Attention-Based Transformer-GAN for PET Reconstruction With Auxiliary MRI
Pinxian Zeng, Xinyi Zeng, Luping Zhou, Chen Zu, Yan Wang
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT) 2025
We propose a multi-modal Transformer-GAN with long-short distance attention mechanisms for PET reconstruction using auxiliary MRI.
Adaptive Hardness-Driven Augmentation and Alignment Strategies for Multisource Domain Adaptations
Yuting Yang, Xinyi Zeng, Pinxian Zeng, Bin Yan, Yan Wang
IEEE Transactions on Neural Networks and Learning Systems (TNNLS) 2025
Adaptive hardness-driven augmentation and alignment strategies for multisource domain adaptations.
Adaptive Hardness-Driven Augmentation and Alignment Strategies for Multisource Domain Adaptations
Yuting Yang, Xinyi Zeng, Pinxian Zeng, Bin Yan, Yan Wang
IEEE Transactions on Neural Networks and Learning Systems (TNNLS) 2025
Adaptive hardness-driven augmentation and alignment strategies for multisource domain adaptations.
Prior Knowledge-Guided Triple-Domain Transformer-GAN for Direct PET Reconstruction From Low-Count Sinograms
Jiaqi Cui, Pinxian Zeng, Xinyi Zeng, Luping Zhou, Yan Wang
IEEE Transactions on Medical Imaging (TMI) 2024
Prior knowledge-guided triple-domain Transformer-GAN for direct PET reconstruction from low-count sinograms.
Prior Knowledge-Guided Triple-Domain Transformer-GAN for Direct PET Reconstruction From Low-Count Sinograms
Jiaqi Cui, Pinxian Zeng, Xinyi Zeng, Luping Zhou, Yan Wang
IEEE Transactions on Medical Imaging (TMI) 2024
Prior knowledge-guided triple-domain Transformer-GAN for direct PET reconstruction from low-count sinograms.
S3PET: Semi-supervised Standard-dose PET Image Reconstruction via Dose-aware Token Swap
Jiaqi Cui, Pinxian Zeng*, Yinghui Xu, Xi Wu, Jiliu Zhou, Yan Wang (* co-first)
IEEE CIS/RAM 2024
We propose S3PET, a semi-supervised standard-dose PET image reconstruction method via dose-aware token swap.
S3PET: Semi-supervised Standard-dose PET Image Reconstruction via Dose-aware Token Swap
Jiaqi Cui, Pinxian Zeng*, Yinghui Xu, Xi Wu, Jiliu Zhou, Yan Wang (* co-first)
IEEE CIS/RAM 2024
We propose S3PET, a semi-supervised standard-dose PET image reconstruction method via dose-aware token swap.
DANE: A Dual-Level Alignment Network With Ensemble Learning for Multisource Domain Adaptation
Yuting Yang, Long Wen, Pinxian Zeng, Bin Yan, Yan Wang
IEEE Transactions on Instrumentation and Measurement (TIM) 2024
A dual-level alignment network with ensemble learning for multisource domain adaptation.
DANE: A Dual-Level Alignment Network With Ensemble Learning for Multisource Domain Adaptation
Yuting Yang, Long Wen, Pinxian Zeng, Bin Yan, Yan Wang
IEEE Transactions on Instrumentation and Measurement (TIM) 2024
A dual-level alignment network with ensemble learning for multisource domain adaptation.
TriDo-Former: A Triple-Domain Transformer for Direct PET Reconstruction from Low-Dose Sinograms
Jiaqi Cui, Pinxian Zeng, Xinyi Zeng, Luping Zhou, Yan Wang
MICCAI 2023
A triple-domain transformer for direct PET reconstruction from low-dose sinograms.
TriDo-Former: A Triple-Domain Transformer for Direct PET Reconstruction from Low-Dose Sinograms
Jiaqi Cui, Pinxian Zeng, Xinyi Zeng, Luping Zhou, Yan Wang
MICCAI 2023
A triple-domain transformer for direct PET reconstruction from low-dose sinograms.
3D CVT-GAN: A 3D Convolutional Vision Transformer-GAN for PET Reconstruction
Pinxian Zeng, Luping Zhou, Chen Zu, Xinyi Zeng, Zhengyang Jiao, Xi Wu, Jiliu Zhou, Dinggang Shen, Yan Wang
MICCAI 2022
We propose 3D CVT-GAN, a 3D convolutional vision transformer-GAN for PET reconstruction.
3D CVT-GAN: A 3D Convolutional Vision Transformer-GAN for PET Reconstruction
Pinxian Zeng, Luping Zhou, Chen Zu, Xinyi Zeng, Zhengyang Jiao, Xi Wu, Jiliu Zhou, Dinggang Shen, Yan Wang
MICCAI 2022
We propose 3D CVT-GAN, a 3D convolutional vision transformer-GAN for PET reconstruction.