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ORCIDLei Gao 0001
Person information
- affiliation (PhD 2017): Toronto Metropolitan University, Electrical and Computer Engineering, Toronto, ON, Canada
- affiliation (former): Zhengzhou University, School of Information Engineering, China
Other persons with the same name
- Lei Gao — disambiguation page
- Lei Gao 0002 — CSIRO Land and Water, Adelaide, SA, Australia (and 1 more)
- Lei Gao 0003 — Donghua University, College of Information Sciences and Technology, Shanghai, China
- Lei Gao 0004
![[0000-0003-3527-2666]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-3527-2666")
— Chinese Academy of Sciences, Shenyang Institute of Automation, Key laboratory of Industrial Information Technology, China (and 1 more) - Lei Gao 0005 — Shandong Normal University, School of Mathematical Sciences, Jinan, China
- Lei Gao 0006 — Harbin Institute of Technology, School of Electrical Engineering and Automation, Harbin, China
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Journal Articles
- 2025
[j19]Lei Gao, Kai Liu, Ling Guan:
A discriminative multi-modal adaptation neural network model for video action recognition. Neural Networks 185: 107114 (2025)- 2024
- [j18]Lei Gao, Zheng Guo, Ling Guan:
An Optimal Edge-weighted Graph Semantic Correlation Framework for Multi-view Feature Representation Learning. ACM Trans. Multim. Comput. Commun. Appl. 20(7): 200:1-200:23 (2024) - 2023
- [j17]Lei Gao, Ling Guan:
Interpretability of Machine Learning: Recent Advances and Future Prospects. IEEE Multim. 30(4): 105-118 (2023) - [j16]Lei Gao, Ling Guan:
A Discriminant Information Theoretic Learning Framework for Multi-modal Feature Representation. ACM Trans. Intell. Syst. Technol. 14(3): 55:1-55:24 (2023) - 2022
- [j15]Randy Tan, Lei Gao, Naimul Khan, Ling Guan:
Interpretable Artificial Intelligence through Locality Guided Neural Networks. Neural Networks 155: 58-73 (2022) - [j14]Lei Gao, Ling Guan:
A Discriminative Vectorial Framework for Multi-Modal Feature Representation. IEEE Trans. Multim. 24: 1503-1514 (2022) - 2021
- [j13]Kai Liu, Lei Gao, Naimul Mefraz Khan, Lin Qi, Ling Guan:
Integrating vertex and edge features with Graph Convolutional Networks for skeleton-based action recognition. Neurocomputing 466: 190-201 (2021) - [j12]Lei Gao, Lin Qi, Ling Guan:
A discriminant kernel entropy-based framework for feature representation learning. J. Vis. Commun. Image Represent. 81: 103366 (2021) - [j11]Guichi Liu, Lei Gao, Lin Qi:
Hyperspectral Image Classification via Multi-Feature-Based Correlation Adaptive Representation. Remote. Sens. 13(7): 1253 (2021) - [j10]Lei Gao, Lin Qi, Ling Guan:
The Property of Frequency Shift in 2D-FRFT Domain With Application to Image Encryption. IEEE Signal Process. Lett. 28: 185-189 (2021) - [j9]Kai Liu, Lei Gao, Naimul Mefraz Khan, Lin Qi, Ling Guan:
A Multi-Stream Graph Convolutional Networks-Hidden Conditional Random Field Model for Skeleton-Based Action Recognition. IEEE Trans. Multim. 23: 64-76 (2021) - 2020
- [j8]Salah Rabba, Matthew J. Kyan, Lei Gao, Azhar Quddus, Ali Shahidi Zandi, Ling Guan:
Discriminative Robust Head-Pose and Gaze Estimation Using Kernel-DMCCA Features Fusion. Int. J. Semantic Comput. 14(1): 107-135 (2020) - [j7]Qiang Liu, Enqing Chen, Lei Gao, Chengwu Liang, Hao Liu:
Energy-Guided Temporal Segmentation Network for Multimodal Human Action Recognition. Sensors 20(17): 4673 (2020) - [j6]Lei Gao, Ling Guan:
A Complete Discriminative Tensor Representation Learning for Two-Dimensional Correlation Analysis. IEEE Signal Process. Lett. 27: 1894-1898 (2020) - 2019
- [j5]Enqing Chen, Xue Bai, Lei Gao, Haron Chweya Tinega, Yingqiang Ding:
A Spatiotemporal Heterogeneous Two-Stream Network for Action Recognition. IEEE Access 7: 57267-57275 (2019) - [j4]Lei Gao, Rui Zhang, Lin Qi, Enqing Chen, Ling Guan:
The Labeled Multiple Canonical Correlation Analysis for Information Fusion. IEEE Trans. Multim. 21(2): 375-387 (2019) - 2018
- [j3]Lei Gao, Lin Qi, Enqing Chen, Ling Guan:
Discriminative Multiple Canonical Correlation Analysis for Information Fusion. IEEE Trans. Image Process. 27(4): 1951-1965 (2018) - 2016
- [j2]Lei Gao, Lin Qi, Ling Guan:
Online Behavioral Analysis with Application to Emotion State Identification. IEEE Intell. Syst. 31(5): 32-39 (2016) - 2013
- [j1]Lei Gao, Lin Qi, Yongjin Wang, Enqing Chen, Shouyi Yang, Ling Guan:
Rotation Invariance in 2D-FRFT with Application to Digital Image Watermarking. J. Signal Process. Syst. 72(2): 133-148 (2013)
Conference and Workshop Papers
- 2024
- [c38]Zheng Guo, Lei Gao, Ling Guan:
An Efficient DDCCANet For Multi-view Representation Learning. GCCE 2024: 1024-1025 - [c37]Ryan Tan, Thanh Hong-Phuoc, Lei Gao, Randy Tan, Sagarjit Aujla, Adel Mohamed, Ling Guan, Karthikeyan Umapathy, Naimul Mefraz Khan:
Enhancement of Neonatal Lung Pathology Classification Using Multi-view Feature Representation. MIPR 2024: 190-195 - [c36]Ling Guan, Lei Gao, Kai Liu, Zheng Guo:
Mathematics-Inspired Learning: A Green Learning Model with Interpretable Properties. MIPR 2024: 396-402 - 2023
- [c35]Kai Liu, Zheng Guo, Lei Gao, Naimul Mefraz Khan, Ling Guan:
Towards Efficient Multi-view Representation Learning. ISM 2023: 225-229 - [c34]Lei Gao, Ling Guan:
A Deep Discriminant Fractional-order Canonical Correlation Analysis For Information Fusion. SDS 2023: 58-65 - 2022
- [c33]Nour El-Din El-Madany, Lei Gao, Ling Guan:
A Non Local Multi-Fiber Network For Action Anticipation In Videos. CCECE 2022: 384-388 - [c32]Lei Gao, Ling Guan:
A Discriminant Correntropy Analysis For Multi-Feature Fusion. CCECE 2022: 465-470 - [c31]Lei Gao, Ling Guan:
Interpretable Learning-Based Multi-Modal Hashing Analysis for Multi-View Feature Representation Learning. MIPR 2022: 47-52 - 2021
- [c30]Lei Gao, Lin Qi, Ling Guan:
2D-FRFT Based Frequency Shift-Invariant Digital Image Encryption. ICASSP 2021: 2420-2424 - [c29]Kai Liu, Lei Gao, Naimul Mefraz Khan, Lin Qi, Ling Guan:
A two-stream heterogeneous network for action recognition based on skeleton and RGB modalities. ISM 2021: 87-91 - [c28]Zheng Guo, Lei Gao, Ling Guan:
A Manifold Semantic Canonical Correlation Framework for Effective Feature Fusion. MIPR 2021: 15-20 - [c27]Lei Gao, Ling Guan:
A Novel Correntropy Analysis Method with Application to Multi-view Feature Representation. MIPR 2021: 179-184 - 2020
- [c26]Lei Gao, Ling Guan:
A Deep Manifold Representation for Information Discovery. CCECE 2020: 1-4 - [c25]Lei Gao, Zheng Guo, Ling Guan:
A Distinct Discriminant Canonical Correlation Analysis Network based Deep Information Quality Representation for Image Classification. ICPR 2020: 7595-7600 - [c24]Kai Liu, Lei Gao, Naimul Mefraz Khan, Lin Qi, Ling Guan:
A Vertex-Edge Graph Convolutional Network for Skeleton-Based Action Recognition. ISCAS 2020: 1-5 - 2019
- [c23]Lei Gao, Ling Guan:
A Discriminant Two-Dimensional Canonical Correlation Analysis. CCECE 2019: 1-4 - [c22]Lei Gao, Ling Guan:
Information Fusion via Multimodal Hashing with Discriminant Canonical Correlation Maximization. ICIAR (2) 2019: 81-93 - [c21]Lei Gao, Ling Guan:
Information Fusion via Multimodal Hashing With Discriminant Correlation Maximization. ICIP 2019: 2224-2228 - [c20]Lei Gao, Ling Guan:
Information Fusion via Deep Cross-Modal Factor Analysis. ISCAS 2019: 1-5 - [c19]Kai Liu, Lei Gao, Naimul Mefraz Khan, Lin Qi, Ling Guan:
Graph Convolutional Networks-Hidden Conditional Random Field Model for Skeleton-Based Action Recognition. ISM 2019: 25-31 - 2018
- [c18]Lei Gao, Ling Guan:
Information Fusion VIA Optimized KECA with Application to Audio Emotion Recognition. CyberC 2018 - [c17]Zheng Wu, Naimul Mefraz Khan, Lei Gao, Ling Guan:
Deep Reinforcement Learning with Parameterized Action Space for Object Detection. ISM 2018: 101-104 - [c16]Salah Rabba, Matthew J. Kyan, Lei Gao, Azhar Quddus, Ali Shahidi Zandi, Ling Guan:
Discriminative Robust Gaze Estimation Using Kernel-DMCCA Fusion. ISM 2018: 291-298 - [c15]Ling Guan, Lei Gao, Nour El-Din El-Madany, Chengwu Liang:
Statistical Machine Learning vs Deep Learning in Information Fusion: Competition or Collaboration? MIPR 2018: 251-256 - 2016
- [c14]Lei Gao, Lin Qi, Ling Guan:
Information fusion based on kernel entropy component analysis in discriminative canonical correlation space with application to audio emotion recognition. ICASSP 2016: 2817-2821 - [c13]Lei Gao, Ling Guan, Lin Qi, Enqing Chen:
A Novel Discriminative Framework Integrating Kernel Entropy Component Analysis and Discriminative Multiple Canonical Correlation for Information Fusion. ISM 2016: 291-294 - [c12]Mengyan Yuan, Enqing Chen, Lei Gao:
Posture Selection Based on Two-Layer AP with Application to Human Action Recognition Using HMM. ISM 2016: 359-364 - 2015
- [c11]Ling Guan, Lei Gao, Yun Tie, Lin Qi:
A graph representation approach for selecting the optimal projection in information fusion. ChinaSIP 2015: 413-417 - [c10]Lei Gao, Lin Qi, Ling Guan:
Sparsity preserving multiple canonical correlation analysis with visual emotion recognition to multi-feature fusion. ICIP 2015: 2710-2714 - [c9]Lei Gao, Lin Qi, Ling Guan:
Information Fusion of Audio Emotion Recognition Based on Kernel Entropy Component Analysis in Canonical Correlation Space. ISM 2015: 241-244 - 2014
- [c8]Lei Gao, Lin Qi, Enqing Chen, Ling Guan:
A fisher discriminant framework based on Kernel Entropy Component Analysis for feature extraction and emotion recognition. ICME Workshops 2014: 1-6 - 2013
- [c7]Lei Gao, Lin Qi, Ling Guan:
Selecting Discriminative Features with Discriminative Multiple Canonical CorrelationAnalysis for Multi-Feature Information Fusion. BIOSIG 2013: 297-304 - [c6]Lei Gao, Lin Qi, Ling Guan:
The spatial shift operations on image reconstruction from 2D-FRFT information with application to SAR moving target detection. ChinaSIP 2013: 523-527 - [c5]Hong Zhang, Xiaomin Mu, Lei Gao:
Shearlet-based deconvolution under the framework of Bayesian. ICIA 2013: 995-999 - 2012
- [c4]Lei Gao, Lin Qi, Enqing Chen, Ling Guan:
Discriminative Multiple Canonical Correlation Analysis for Multi-feature Information Fusion. ISM 2012: 36-43 - [c3]Lei Gao, Lin Qi, Shouyi Yang, Yongjin Wang, Tie Yun, Ling Guan:
2D-FRFT Based Rotation Invariant Digital Image Watermarking. ISM 2012: 286-289 - [c2]Ning Zheng, Lin Qi, Lei Gao, Ling Guan:
Generalized MMSD feature extraction using QR decomposition. VCIP 2012: 1-5 - 2010
- [c1]Lei Gao, Lin Qi, Enqing Chen, Xiaomin Mu, Ling Guan:
Recognizing Human Emotional State Based on the Phase Information of the Two Dimensional Fractional Fourier Transform. PCM (2) 2010: 694-704
Informal and Other Publications
- 2023
- [i7]Lei Gao, Ling Guan:
Interpretability of Machine Learning: Recent Advances and Future Prospects. CoRR abs/2305.00537 (2023) - 2021
- [i6]Lei Gao, Lin Qi, Ling Guan:
Online Behavioral Analysis with Application to Emotion State Identification. CoRR abs/2103.00356 (2021) - [i5]Lei Gao, Rui Zhang, Lin Qi, Enqing Chen, Ling Guan:
The Labeled Multiple Canonical Correlation Analysis for Information Fusion. CoRR abs/2103.00359 (2021) - [i4]Lei Gao, Lin Qi, Enqing Chen, Ling Guan:
Discriminative Multiple Canonical Correlation Analysis for Information Fusion. CoRR abs/2103.00361 (2021) - [i3]Lei Gao, Ling Guan:
A Complete Discriminative Tensor Representation Learning for Two-Dimensional Correlation Analysis. CoRR abs/2103.00367 (2021) - [i2]Lei Gao, Ling Guan:
A Discriminative Vectorial Framework for Multi-modal Feature Representation. CoRR abs/2103.05597 (2021) - [i1]Lei Gao, Zheng Guo, Ling Guan:
ODMTCNet: An Interpretable Multi-view Deep Neural Network Architecture for Image Feature Representation. CoRR abs/2110.14830 (2021)
Coauthor Index
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last updated on 2025-06-30 21:50 CEST by the dblp team
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