Chao Zhang

Senior Lecturer

University of Fukui

Japan

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Chao Zhang is a Senior Lecturer at the University of Fukui, Japan. His research areas encompass optimization algorithms, machine learning, and image segmentation, as evidenced by his recent publications including work on coupled contrastive learning, the honey badger algorithm for continuous optimization, and interactive skin lesion segmentation. Additionally, he has contributed to the development of novel metaheuristic algorithms and feature selection methodologies.

Chao Zhang

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Articles (24)

Learning to Discriminate While Contrasting: Combating False Negative Pairs With Coupled Contrastive Learning for Incomplete Multi-View Clustering

Symbiotic mechanism-based honey badger algorithm for continuous optimization

Crested ibis algorithm and its application in human-powered aircraft design

Efficient multiplayer battle game optimizer for numerical optimization and adversarial robust neural architecture search

Improved snow ablation optimization for multilevel threshold image segmentation

Hierarchical RIME algorithm with multiple search preferences for extreme learning machine training

Interactive Skin Lesion Segmentation Considering Behavioral Preference in Clicking

Subspace‐Guided Feature Reconstruction for Unsupervised Anomaly Localization

Orientation-aware leg movement learning for action-driven human motion prediction

A multi-in and multi-out dendritic neuron model and its optimization

Learning disentangled representations for controllable human motion prediction

Deep Hierarchical Rear‐Lamp Tracking at Nighttime

Leveraging large language model to generate a novel metaheuristic algorithm with CRISPE framework

Cooperative coati optimization algorithm with transfer functions for feature selection and knapsack problems

Teacher–student network for 3D point cloud anomaly detection with few normal samples

Component‐based nearest neighbour subspace clustering

Image Deformation Estimation via Multiobjective Optimization

DS‐SRI: Diversity similarity measure against scaling, rotation, and illumination change for robust template matching

Learning to predict diverse human motions from a single image via mixture density networks

Example-based color transfer with Gaussian mixture modeling

Braille Block Detection via Multi-Objective Optimization from an Egocentric Viewpoint

Blur Removal Via Blurred-Noisy Image Pair

CGMVAE: Coupling GMM Prior and GMM Estimator for Unsupervised Clustering and Disentanglement

CGMVAE: Coupling GMM Prior and GMM Estimator for Unsupervised Clustering and Disentanglement

Collaborators (2)

Takuya Akashi

Haoran Xie

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