Huibin Lin

According to our database, Huibin Lin authored at least 24 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Unsupervised Domain Adaptation on Point Clouds via High-Order Geometric Structure Modeling.

Jiang-Xing Cheng, Huibin Lin, Chun-Yang Zhang, C. L. Philip Chen

IEEE Trans. Artif. Intell., December, 2024

Multi-Relation Augmentation for Graph Neural Networks.

Shunxin Xiao, Huibin Lin, Jianwen Wang, Xiaolong Qin, Shiping Wang

IEEE Trans. Emerg. Top. Comput. Intell., October, 2024

A new robust contrastive learning for unsupervised person re-identification.

Huibin Lin, Hai-Tao Fu, Chun-Yang Zhang, C. L. Philip Chen

Int. J. Mach. Learn. Cybern., May, 2024

Weighted distributed compressed sensing: An efficient gear transmission system fault feature extraction approach for ultra-low compression signals.

Zhongze Liu, Yicong Kuang, Fei Jiang, Yue Zhang, Huibin Lin, Kang Ding

Adv. Eng. Informatics, 2024

Fault Prior-guided White-box Model towards Interpretable Discriminant Feature Extraction.

Yuan Zheng, Weihua Li, Zhuyun Chen, Huibin Lin, Guolin He

Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2024

2023

Graph Neural Networks With Multiple Prior Knowledge for Multi-Omics Data Analysis.

Shunxin Xiao, Huibin Lin, Conghao Wang, Shiping Wang, Jagath C. Rajapakse

IEEE J. Biomed. Health Informatics, September, 2023

A Probabilistic Contrastive Framework for Semi-Supervised Learning.

Huibin Lin, Chun-Yang Zhang, Shiping Wang, Wenzhong Guo

IEEE Trans. Multim., 2023

A LightGBM-Based Multiscale Weighted Ensemble Model for Few-Shot Fault Diagnosis.

Weihua Li, Jingke He, Huibin Lin, Ruyi Huang, Guolin He, Zhuyun Chen

IEEE Trans. Instrum. Meas., 2023

2022

A Reweighted Overlapping Group Shrinkage Method for Bearing Fault Diagnosis.

Zhongze Liu, Kang Ding, Huibin Lin, Zhuyun Chen, Weihua Li

IEEE Trans. Instrum. Meas., 2022

Dual-Attention-Based Multiscale Convolutional Neural Network With Stage Division for Remaining Useful Life Prediction of Rolling Bearings.

Fei Jiang, Kang Ding, Guolin He, Huibin Lin, Zhuyun Chen, Weihua Li

IEEE Trans. Instrum. Meas., 2022

2021

FMixAugment for Semi-supervised Learning with Consistency Regularization.

Huibin Lin, Shiping Wang, Zhanghui Liu, Shunxin Xiao, Shide Du, Wenzhong Guo

Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021

2020

Hodge and Podge: Hybrid Supervised Sound Event Detection with Multi-Hot MixMatch and Composition Consistence Training.

Ziqiang Shi, Liu Liu, Huibin Lin, Rujie Liu

CoRR, 2020

2019

FurcaNeXt: End-to-end monaural speech separation with dynamic gated dilated temporal convolutional networks.

Ziqiang Shi, Huibin Lin, Liu Liu, Rujie Liu, Jiqing Han

CoRR, 2019

FurcaNet: An end-to-end deep gated convolutional, long short-term memory, deep neural networks for single channel speech separation.

Ziqiang Shi, Huibin Lin, Liu Liu, Rujie Liu, Jiqing Han

CoRR, 2019

Is CQT more suitable for monaural speech separation than STFT? an empirical study.

Ziqiang Shi, Huibin Lin, Liu Liu, Rujie Liu, Jiqing Han

CoRR, 2019

Deep Attention Gated Dilated Temporal Convolutional Networks with Intra-Parallel Convolutional Modules for End-to-End Monaural Speech Separation.

Ziqiang Shi, Huibin Lin, Liu Liu, Rujie Liu, Jiqing Han, Anyan Shi

Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

End-to-End Monaural Speech Separation with Multi-Scale Dynamic Weighted Gated Dilated Convolutional Pyramid Network.

Ziqiang Shi, Huibin Lin, Liu Liu, Rujie Liu, Shoji Hayakawa, Shouji Harada, Jiqing Han

Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

Furcax: End-to-end Monaural Speech Separation Based on Deep Gated (De)convolutional Neural Networks with Adversarial Example Training.

Ziqiang Shi, Huibin Lin, Liu Liu, Rujie Liu, Shoji Hayakawa, Jiqing Han

Proceedings of the IEEE International Conference on Acoustics, 2019

HODGEPODGE: Sound Event Detection Based on Ensemble of Semi-Supervised Learning Methods.

Ziqiang Shi, Liu Liu, Huibin Lin, Rujie Liu, Anyan Shi

Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events 2019 (DCASE 2019), 2019

2018

A Double Joint Bayesian Approach for J-Vector Based Text-dependent Speaker Verification.

Ziqiang Shi, Mengjiao Wang, Liu Liu, Huibin Lin, Rujie Liu

Proceedings of the Odyssey 2018: The Speaker and Language Recognition Workshop, 2018

Latent Factor Analysis of Deep Bottleneck Features for Speaker Verification with Random Digit Strings.

Ziqiang Shi, Huibin Lin, Liu Liu, Rujie Liu

Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018

Joint Learning of J-Vector Extractor and Joint Bayesian Model for Text Dependent Speaker Verification.

Ziqiang Shi, Liu Liu, Huibin Lin, Rujie Liu

Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018

Double Joint Bayesian Modeling of DNN Local I-Vector for Text Dependent Speaker Verification with Random Digit Strings.

Ziqiang Shi, Huibin Lin, Liu Liu, Rujie Liu

Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018

2013

Envelope analysis by wavelet-filter based spectral kurtosis for bearing health monitoring.

Weihua Li, Zhidong Huang, Huibin Lin, Kang Ding

Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2013