Envelope analysis by wavelet-filter based spectral kurtosis for bearing health monitoring. - Weihua Li 004; Zhidong Huang; Huibin Lin; Kang Ding (I2MTC, 2013)

Double Joint Bayesian Modeling of DNN Local I-Vector for Text Dependent Speaker Verification with Random Digit Strings. - Ziqiang Shi; Huibin Lin; Liu Liu 020; Rujie Liu (INTERSPEECH, 2018)

Joint Learning of J-Vector Extractor and Joint Bayesian Model for Text Dependent Speaker Verification. - Ziqiang Shi; Liu Liu 020; Huibin Lin; Rujie Liu (INTERSPEECH, 2018)

Latent Factor Analysis of Deep Bottleneck Features for Speaker Verification with Random Digit Strings. - Ziqiang Shi; Huibin Lin; Liu Liu 020; Rujie Liu (INTERSPEECH, 2018)

A Double Joint Bayesian Approach for J-Vector Based Text-dependent Speaker Verification. - Ziqiang Shi; Mengjiao Wang 001; Liu Liu 020; Huibin Lin; Rujie Liu (Odyssey, 2018)

HODGEPODGE: Sound Event Detection Based on Ensemble of Semi-Supervised Learning Methods. - Ziqiang Shi; Liu Liu 020; Huibin Lin; Rujie Liu; Anyan Shi (DCASE, 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 020; Rujie Liu; Shoji Hayakawa; Jiqing Han 001 (ICASSP, 2019)

End-to-End Monaural Speech Separation with Multi-Scale Dynamic Weighted Gated Dilated Convolutional Pyramid Network. - Ziqiang Shi; Huibin Lin; Liu Liu 020; Rujie Liu; Shoji Hayakawa; Shouji Harada; Jiqing Han 001 (INTERSPEECH, 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 020; Rujie Liu; Jiqing Han 001; Anyan Shi (INTERSPEECH, 2019)

Is CQT more suitable for monaural speech separation than STFT? an empirical study. - Ziqiang Shi; Huibin Lin; Liu Liu 020; Rujie Liu; Jiqing Han 001 (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 020; Rujie Liu; Jiqing Han 001 (CoRR, 2019)

FurcaNeXt: End-to-end monaural speech separation with dynamic gated dilated temporal convolutional networks. - Ziqiang Shi; Huibin Lin; Liu Liu 020; Rujie Liu; Jiqing Han 001 (CoRR, 2019)

Hodge and Podge: Hybrid Supervised Sound Event Detection with Multi-Hot MixMatch and Composition Consistence Training. - Ziqiang Shi; Liu Liu 020; Huibin Lin; Rujie Liu (CoRR, 2020)

FMixAugment for Semi-supervised Learning with Consistency Regularization. - Huibin Lin; Shiping Wang; Zhanghui Liu; Shunxin Xiao; Shide Du; Wenzhong Guo (PRCV (2), 2021)

Dual-Attention-Based Multiscale Convolutional Neural Network With Stage Division for Remaining Useful Life Prediction of Rolling Bearings. - Fei Jiang 001; Kang Ding; Guolin He; Huibin Lin; Zhuyun Chen 001; Weihua Li 004 (IEEE Trans. Instrum. Meas., 2022)

A Reweighted Overlapping Group Shrinkage Method for Bearing Fault Diagnosis. - Zhongze Liu; Kang Ding; Huibin Lin; Zhuyun Chen 001; Weihua Li 004 (IEEE Trans. Instrum. Meas., 2022)

A LightGBM-Based Multiscale Weighted Ensemble Model for Few-Shot Fault Diagnosis. - Weihua Li 004; Jingke He; Huibin Lin; Ruyi Huang; Guolin He; Zhuyun Chen 001 (IEEE Trans. Instrum. Meas., 2023)

A Probabilistic Contrastive Framework for Semi-Supervised Learning. - Huibin Lin; Chun-Yang Zhang; Shiping Wang; Wenzhong Guo (IEEE Trans. Multim., 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, 2023)

Fault Prior-guided White-box Model towards Interpretable Discriminant Feature Extraction. - Yuan Zheng; Weihua Li 004; Zhuyun Chen 001; Huibin Lin; Guolin He (I2MTC, 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 001; Yue Zhang; Huibin Lin; Kang Ding (Adv. Eng. Informatics, 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., 2024)

Multi-Relation Augmentation for Graph Neural Networks. - Shunxin Xiao; Huibin Lin; Jianwen Wang; Xiaolong Qin; Shiping Wang (IEEE Trans. Emerg. Top. Comput. Intell., 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., 2024)

Enhance Multi-View Classification Through Multi-Scale Alignment and Expanded Boundary. - Yuena Lin; Yiyuan Wang; Gengyu Lyu; Yongjian Deng; Haichun Cai; Huibin Lin; Haobo Wang 001; Zhen Yang 004 (ICLR, 2025)

Low-Overlap Point Cloud Registration via Correspondence Augmentation. - Zhi-Huang Lin; Chun-Yang Zhang; Xue-Ming Lin; Huibin Lin; Gui-Huang Zeng; C. L. Philip Chen (IEEE Trans Autom. Sci. Eng., 2025)

Contextual Distribution Alignment via Correlation Contrasting for Domain Generalization. - Huibin Lin; Chun-Yang Zhang; C. L. Philip Chen (IEEE Trans. Circuits Syst. Video Technol., 2025)

Matching Pursuit Network: An Interpretable Sparse Time-Frequency Representation Method Toward Mechanical Fault Diagnosis. - Huibin Lin; Xiaofeng Huang; Zhuyun Chen 001; Guolin He; Ciyang Xi; Weihua Li 004 (IEEE Trans. Neural Networks Learn. Syst., 2025)