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Tieyong Zeng

Professor

The Chinese University of Hong Kong (CUHK)

Hong Kong

Research Interests

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Professors in Medical Imaging

Articles (20)

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Collaborators (4)

Ge Wang

Clark & Crossan Endowed Chair Professor

Rensselaer Polytechnic Institute

UNITED STATES

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Fei Wang

Weill Cornell Medicine

UNITED STATES

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Dayang Wang

University of Massachusetts Lowell

UNITED STATES

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Lin Gu

Assistant Professor

Tohoku University

JAPAN

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Tieyong Zeng

Research Interests

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Articles (20)

No One-Size-Fits-All Neurons: Task-Based Neurons for Artificial Neural Networks

Recurrent Mamba for efficient and high-fidelity MRI reconstruction

Inertial proximal difference-of-convex algorithm with convergent Bregman plug-and-play for nonconvex imaging

Deep learning for precision grading of Schistosoma japonicum-induced liver fibrosis in ultrasound images

Quaternion adaptive approximation normalization graph guided implicit low rank for robust matrix completion

A Survey of Single Image Blind Motion Deblurring from Traditional to Deep Learning

GIGAS: Adversarial Attacks on Visual Question Answering With Multi-Modal Generative Models

MSAFed: Generalized Multi-Stage and Adaptive Federated Learning for Test-Time Medical Segmentation

On Expressivity of Height in Neural Networks

Kernel FISTA and Application to Image Deblurring

Quaternion deep matrix factorization and non-local Laplacian regularization for matrix completion

Gradient-Refined Federated Learning on Head-Tail Imbalanced Data

Hyper-Compression: Model Compression via Hyperfunction

Msa-Splatting: Multi-Scale Adaptive Gaussian Splatting for High-Fidelity View Synthesis

VDIP-TGV: Blind Image Deconvolution via Variational Deep Image Prior Empowered by Total Generalized Variation

One Neuron Saved is One Neuron Earned: On Parametric Efficiency of Quadratic Networks

High-Frequency Modulated Transformer for Multi-Contrast MRI Super-Resolution

An inexact proximal majorization–minimization method for a class of image reconstruction models

Rethink Deep Learning with Invariance in Data Representation

Progressive Tasks Guided Multi-Source Network for Customer Lifetime Value Prediction in Online Advertising

Collaborators (4)

Ge Wang

Fei Wang

Dayang Wang

Lin Gu

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