罗为｜贵州大学｜学者主页

2026

Irregularity-Aware 3-D Anomaly Detection for Product Quality Control

Yu-Qi Cheng, Yun-Kang Cao, Haiming Yao, Wei Luo, Jiang-Ning Zhang, Wei-Ming Shen

IEEE Transactions on Automation Science and Engineering

DOI

2026

Parameter-, Memory-, Time-Efficient Multi-Task Dense Vision Adaptation

Haiming Yao, Wei Luo, Qiyu Chen, Jian-Xin Liao, Wei-Ya You

AAAI Conference on Artificial Intelligence

DOI

2026

URA-Net: Uncertainty-Integrated Anomaly Perception and Restoration Attention Network for Unsupervised Anomaly Detection

Wei Luo, Peng Xing, Yun-Kang Cao, Haiming Yao, Wei-Ming Shen, Ze-Chao Li

IEEE transactions on circuits and systems for video technology (Print)

DOI

2026

Anomagic: Crossmodal Prompt-driven Zero-shot Anomaly Generation

Yuxin Jiang, Wei Luo, Hui Zhang, Qiyu Chen, Haiming Yao, Wei-Ming Shen, Yunkang Cao

AAAI Conference on Artificial Intelligence

DOI

2026

TDSS: Task Dynamic-Synergistic Skill Adaptation for Boosting Efficient and Scalable Multi-Task Learning in Dense Visual Prediction

Haiming Yao, Qiyu Chen, Wei Luo, Zheng Zhang, Jian-Xin Liao, Wei-Ya You

AAAI Conference on Artificial Intelligence

DOI

2026

Self-calibrated dual contrasting for annotation-efficient bacteria Raman spectroscopy clustering and classification

Haiming Yao, Wei Luo, Tao Zhou, Ang Gao, Xue Wang

Applied Soft Computing

DOI

2026

Imbalance-aware spectral classification via logit-label adjustment and multi-expert mutual learning.

Wei Luo, Haiming Yao, Tao Zhou, Ang Gao, Shilong Yang, Xue Wang

Analytica Chimica Acta

DOI

2025

面向大规模数据的脉冲星候选体识别方法研究

罗为

《贵州大学》

2025

Mining Global and Local Semantics From Unlabeled Spectra for Spectral Classification

Wei Luo, Haiming Yao, Ang Gao, Tao Zhou, Xue Wang

IEEE journal of biomedical and health informatics

DOI

2025

Center-Aware Residual Anomaly Synthesis for Multiclass Industrial Anomaly Detection

Qiyu Chen, Huiyuan Luo, Haiming Yao, Wei Luo, Zhen Qu, Chengkan Lv, Zhengtao Zhang

IEEE Transactions on Industrial Informatics

DOI

2025

INP-Former++: Advancing Universal Anomaly Detection via Intrinsic Normal Prototypes and Residual Learning

Wei Luo, Haiming Yao, Yun-Kang Cao, Qiyu Chen, Ang Gao, Wei-Ming Shen, Wenyong Yu

arXiv.org

DOI

2025

CoPS: Conditional Prompt Synthesis for Zero-Shot Anomaly Detection

Qiyu Chen, Zhen Qu, Wei Luo, Haiming Yao, Yunkang Cao, Yuxin Jiang, Yi-Nan Duan, Huiyuan Luo, Chengkan Lv, Zhengtao Zhang

2026 IEEE/CVF Conference on Computer Vision and Pattern Recognition- FINDINGS Track (CVPRF)

DOI

2025

A Comprehensive Survey for Real-World Industrial Defect Detection: Challenges, Approaches, and Prospects

Yu-Qi Cheng, Yun-Kang Cao, Haiming Yao, Wei Luo, Cheng Jiang, Hui Zhang, Wei-Ming Shen

arXiv.org

DOI

2025

Multi-similarity and gradient fusion digital twins for fault detection and diagnosis of rolling bearings

Xiaotian Zhang, Xue Wang, Haiming Yao, Wei Luo, Zhen-Feng Qiang, Donghao Luo

Computers in industry (Print)

DOI

2025

A feature shuffling and restoration strategy for universal unsupervised anomaly detection

Wei Luo, Haiming Yao, Zhen-Feng Qiang, Xiaotian Zhang, Wei-Hang Zhang

Knowledge-Based Systems

DOI

2025

DiffRaman: A conditional latent denoising diffusion probabilistic model for enhancing bacterial identification via Raman spectra generation under limited data.

Haiming Yao, Wei Luo, Ang Gao, Tao Zhou, Xue Wang

Analytica Chimica Acta

DOI

2025

Exploring Intrinsic Normal Prototypes within a Single Image for Universal Anomaly Detection

Wei Luo, Yun-Kang Cao, Haiming Yao, Xiaotian Zhang, Jianan Lou, Yu-Qi Cheng, Wei-Ming Shen, Wenyong Yu

Computer Vision and Pattern Recognition

DOI

2025

Adversarial contrastive domain-generative learning for bacteria Raman spectrum joint denoising and cross-domain identification

Haiming Yao, Wei Luo, Xue Wang

Engineering applications of artificial intelligence

DOI

2024

Template-based Feature Aggregation Network for industrial anomaly detection

Wei Luo, Haiming Yao, Wenyong Yu

Engineering applications of artificial intelligence

DOI

2024

Prior Normality Prompt Transformer for Multiclass Industrial Image Anomaly Detection

Haiming Yao, Yun-Kang Cao, Wei Luo, Weihang Zhang, Wenyong Yu, Wei-Ming Shen

IEEE Transactions on Industrial Informatics

DOI

2024

Local-global normality learning and discrepancy normalizing flow for unsupervised image anomaly detection

Haiming Yao, Wei Luo, Weihang Zhang, Xiaotian Zhang, Zhen-Feng Qiang, Donghao Luo

Engineering applications of artificial intelligence

DOI

2024

AMI-Net: Adaptive Mask Inpainting Network for Industrial Anomaly Detection and Localization

Wei Luo, Haiming Yao, Wenyong Yu, Zhengyong Li

IEEE Transactions on Automation Science and Engineering

DOI

2024

Dual-Attention Transformer and Discriminative Flow for Industrial Visual Anomaly Detection

Haiming Yao, Wei Luo, Wen-Yong Yu, Xiaotian Zhang, Zhen-Feng Qiang, Donghao Luo, Hui Shi

IEEE Transactions on Automation Science and Engineering

DOI

2024

Scalable Industrial Visual Anomaly Detection With Partial Semantics Aggregation Vision Transformer

Haiming Yao, Wei Luo, Jianan Lou, Wen-Yong Yu, Xiaotian Zhang, Zhen-Feng Qiang, Hui Shi

IEEE Transactions on Instrumentation and Measurement

DOI

2024

VarAD: Lightweight High-Resolution Image Anomaly Detection via Visual Autoregressive Modeling

Yun-Kang Cao, Haiming Yao, Wei Luo, Wei-Ming Shen

IEEE Transactions on Industrial Informatics

DOI

2024

Few-shot unseen defect segmentation for polycrystalline silicon panels with an interpretable dual subspace attention variational learning framework

Haiming Yao, Wei Luo, Wenyong Yu, Xiaotian Zhang, Zhen-Feng Qiang, Donghao Luo, Hui Shi

Advanced Engineering Informatics

DOI

2024

Global-Regularized Neighborhood Regression for Efficient Zero-Shot Texture Anomaly Detection

Haiming Yao, Wei Luo, Yun-Kang Cao, Yi-Heng Zhang, Wenyong Yu, Wei-Ming Shen

IEEE Transactions on Systems, Man & Cybernetics. Systems

DOI

2009

品牌权益测评体系研究路径与进展

罗为

《广东财经大学学报》，Vol. 24, No. 2

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精选作品

期刊论文

Irregularity-Aware 3-D Anomaly Detection for Product Quality Control

Parameter-, Memory-, Time-Efficient Multi-Task Dense Vision Adaptation

URA-Net: Uncertainty-Integrated Anomaly Perception and Restoration Attention Network for Unsupervised Anomaly Detection

Anomagic: Crossmodal Prompt-driven Zero-shot Anomaly Generation

TDSS: Task Dynamic-Synergistic Skill Adaptation for Boosting Efficient and Scalable Multi-Task Learning in Dense Visual Prediction

Self-calibrated dual contrasting for annotation-efficient bacteria Raman spectroscopy clustering and classification

Imbalance-aware spectral classification via logit-label adjustment and multi-expert mutual learning.

面向大规模数据的脉冲星候选体识别方法研究

Mining Global and Local Semantics From Unlabeled Spectra for Spectral Classification

Center-Aware Residual Anomaly Synthesis for Multiclass Industrial Anomaly Detection

INP-Former++: Advancing Universal Anomaly Detection via Intrinsic Normal Prototypes and Residual Learning

CoPS: Conditional Prompt Synthesis for Zero-Shot Anomaly Detection

A Comprehensive Survey for Real-World Industrial Defect Detection: Challenges, Approaches, and Prospects

Multi-similarity and gradient fusion digital twins for fault detection and diagnosis of rolling bearings

A feature shuffling and restoration strategy for universal unsupervised anomaly detection

DiffRaman: A conditional latent denoising diffusion probabilistic model for enhancing bacterial identification via Raman spectra generation under limited data.

Exploring Intrinsic Normal Prototypes within a Single Image for Universal Anomaly Detection

Adversarial contrastive domain-generative learning for bacteria Raman spectrum joint denoising and cross-domain identification

Template-based Feature Aggregation Network for industrial anomaly detection

Prior Normality Prompt Transformer for Multiclass Industrial Image Anomaly Detection

Local-global normality learning and discrepancy normalizing flow for unsupervised image anomaly detection

AMI-Net: Adaptive Mask Inpainting Network for Industrial Anomaly Detection and Localization

Dual-Attention Transformer and Discriminative Flow for Industrial Visual Anomaly Detection

Scalable Industrial Visual Anomaly Detection With Partial Semantics Aggregation Vision Transformer

VarAD: Lightweight High-Resolution Image Anomaly Detection via Visual Autoregressive Modeling

Few-shot unseen defect segmentation for polycrystalline silicon panels with an interpretable dual subspace attention variational learning framework

Global-Regularized Neighborhood Regression for Efficient Zero-Shot Texture Anomaly Detection

品牌权益测评体系研究路径与进展