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- affiliation: Ryerson University, Toronto, Canada
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2020 – today
- 2024
[j137]Peixiao Zheng, Xin Guo
, Enqing Chen, Lin Qi, Ling Guan:
Edge-labeling based modified gated graph network for few-shot learning. Pattern Recognit. 150: 110264 (2024)- [j136]Yurui Xie, Ling Guan:
Sparsity-guided Discriminative Feature Encoding for Robust Keypoint Detection. ACM Trans. Multim. Comput. Commun. Appl. 20(3): 88:1-88:22 (2024) - [j135]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
- [j134]Thanh Hong-Phuoc, Ling Guan:
A Novel Learning Dictionary for Sparse Coding-Based Key Point Detection. IEEE Multim. 30(4): 47-60 (2023) - [j133]Lei Gao, Ling Guan:
Interpretability of Machine Learning: Recent Advances and Future Prospects. IEEE Multim. 30(4): 105-118 (2023) - [j132]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) - [c259]Yu Lu, Rencai Jin, Dan Li, Junxiang Li, Ling Guan:
Intelligent Trolley Path Tracking Control Based on Feed-forward Variable domain Fuzzy PID Control. ICARM 2023: 279-284 - [c258]Ling Guan, Rencai Jin, Dan Li, Junxiang Li, Yu Lu:
A Real-Time Robot Location Algorithm Based on Improved Point-Line Feature Fusion. ICARM 2023: 534-538 - [c257]Kai Liu, Zheng Guo, Lei Gao, Naimul Mefraz Khan, Ling Guan:
Towards Efficient Multi-view Representation Learning. ISM 2023: 225-229 - [c256]Lei Gao, Ling Guan:
A Deep Discriminant Fractional-order Canonical Correlation Analysis For Information Fusion. SDS 2023: 58-65 - [i15]Lei Gao, Ling Guan:
Interpretability of Machine Learning: Recent Advances and Future Prospects. CoRR abs/2305.00537 (2023) - 2022
- [j131]Chunlai Jia, Zi He, Mengmeng Li, Zhenhong Fan, Dazhi Ding, Ling Guan, Jiaqi Liu, Xia Ai:
Characteristic Mode-Based Efficient Broadband Electromagnetic Scattering Analysis Method for Array Structures. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j130]Randy Tan, Lei Gao, Naimul Khan, Ling Guan:
Interpretable Artificial Intelligence through Locality Guided Neural Networks. Neural Networks 155: 58-73 (2022) - [j129]Ling Guan, Limin Jia, Zhengyu Xie, Chaoying Yin:
A Lightweight Framework for Obstacle Detection in the Railway Image Based on Fast Region Proposal and Improved YOLO-Tiny Network. IEEE Trans. Instrum. Meas. 71: 1-16 (2022) - [j128]Lei Gao, Ling Guan:
A Discriminative Vectorial Framework for Multi-Modal Feature Representation. IEEE Trans. Multim. 24: 1503-1514 (2022) - [c255]Yingxu Wang, Bernard Widrow, Witold Pedrycz, Janusz Kacprzyk, Sam Kwong, Konstantinos N. Plataniotis, Ling Guan, Petros Spachos:
Recent Breakthroughs in Cognitive Informatics and Cognitive Computing towards Autonomous AI (Plenary Panel Report-I of IEEE ICCI*CC'22). ICCI*CC 2022: 258-267 - [c254]Nour El-Din El-Madany, Lei Gao, Ling Guan:
A Non Local Multi-Fiber Network For Action Anticipation In Videos. CCECE 2022: 384-388 - [c253]Lei Gao, Ling Guan:
A Discriminant Correntropy Analysis For Multi-Feature Fusion. CCECE 2022: 465-470 - [c252]Yurui Xie, Ling Guan:
A Semi-Handcrafted Keypoint Detector with Discriminative Feature Encoding. ICASSP 2022: 2490-2494 - [c251]Thanh Hong-Phuoc, Ling Guan:
Learning Rotational Invariant Dictionary for Sparse Coding based Key-point Detection. MIPR 2022: 35-40 - [c250]Lei Gao, Ling Guan:
Interpretable Learning-Based Multi-Modal Hashing Analysis for Multi-View Feature Representation Learning. MIPR 2022: 47-52 - [c249]Zheng Guo, Thanh Hong-Phuoc, Naimul Khan, Ling Guan:
A Highly Optimized GPU Batched Elasticnet Solver (BENS) with Application to Real- Time Keypoint Detection for Image Retrieval. MIPR 2022: 358-361 - 2021
- [j127]Zeeshan Ahmad, Anika Tabassum, Ling Guan, Naimul Mefraz Khan:
ECG Heartbeat Classification Using Multimodal Fusion. IEEE Access 9: 100615-100626 (2021) - [j126]Abhishek Gupta, Alagan Anpalagan, Ling Guan, Ahmed Shaharyar Khwaja:
Deep learning for object detection and scene perception in self-driving cars: Survey, challenges, and open issues. Array 10: 100057 (2021) - [j125]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) - [j124]Lei Gao, Lin Qi, Ling Guan:
A discriminant kernel entropy-based framework for feature representation learning. J. Vis. Commun. Image Represent. 81: 103366 (2021) - [j123]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) - [j122]Nour Eldin Elmadany, Yifeng He, Ling Guan:
Improving Action Recognition via Temporal and Complementary Learning. ACM Trans. Intell. Syst. Technol. 12(3): 31:1-31:24 (2021) - [j121]Thanh Hong-Phuoc, Ling Guan:
A Scale and Rotational Invariant Key-point Detector based on Sparse Coding. ACM Trans. Intell. Syst. Technol. 12(3): 36:1-36:19 (2021) - [j120]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) - [c248]Zeeshan Ahmad, Anika Tabassum, Ling Guan, Naimul Mefraz Khan:
ECG Heart-Beat Classification Using Multimodal Image Fusion. ICASSP 2021: 1330-1334 - [c247]Lei Gao, Lin Qi, Ling Guan:
2D-FRFT Based Frequency Shift-Invariant Digital Image Encryption. ICASSP 2021: 2420-2424 - [c246]Song Wang, Xin Guo, Yun Tie, Lin Qi, Ling Guan:
Local Feature Descriptors with Deep Hypersphere Learning. ICIP 2021: 1524-1528 - [c245]Jonathan Psaila, Thanh Hong-Phuoc, Ling Guan:
Image Matching Using Enhancement Offsets With Adaptive Parameter Selection Via Histogram Analysis. ICIP 2021: 2608-2612 - [c244]Song Wang, Xin Guo, Yun Tie, Lin Qi, Ling Guan:
Discriminative Patch Descriptor Learning With Focal Triplet Loss Function. ICIP 2021: 3567-3571 - [c243]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 - [c242]Abhishek Gupta, Ahmed Shaharyar Khwaja, Alagan Anpalagan, Ling Guan:
Safe Driving of Autonomous Vehicles through State Representation Learning. IWCMC 2021: 260-265 - [c241]Zheng Guo, Lei Gao, Ling Guan:
A Manifold Semantic Canonical Correlation Framework for Effective Feature Fusion. MIPR 2021: 15-20 - [c240]Lei Gao, Ling Guan:
A Novel Correntropy Analysis Method with Application to Multi-view Feature Representation. MIPR 2021: 179-184 - [i14]Lei Gao, Lin Qi, Ling Guan:
Online Behavioral Analysis with Application to Emotion State Identification. CoRR abs/2103.00356 (2021) - [i13]Lei Gao, Rui Zhang, Lin Qi, Enqing Chen, Ling Guan:
The Labeled Multiple Canonical Correlation Analysis for Information Fusion. CoRR abs/2103.00359 (2021) - [i12]Lei Gao, Lin Qi, Enqing Chen, Ling Guan:
Discriminative Multiple Canonical Correlation Analysis for Information Fusion. CoRR abs/2103.00361 (2021) - [i11]Lei Gao, Ling Guan:
A Complete Discriminative Tensor Representation Learning for Two-Dimensional Correlation Analysis. CoRR abs/2103.00367 (2021) - [i10]Lei Gao, Ling Guan:
A Discriminative Vectorial Framework for Multi-modal Feature Representation. CoRR abs/2103.05597 (2021) - [i9]Zeeshan Ahmad, Anika Tabassum, Naimul Mefraz Khan, Ling Guan:
ECG Heart-beat Classification Using Multimodal Image Fusion. CoRR abs/2105.13536 (2021) - [i8]Zeeshan Ahmad, Anika Tabassum, Ling Guan, Naimul Mefraz Khan:
ECG Heartbeat Classification Using Multimodal Fusion. CoRR abs/2107.09869 (2021) - [i7]Lei Gao, Zheng Guo, Ling Guan:
ODMTCNet: An Interpretable Multi-view Deep Neural Network Architecture for Image Feature Representation. CoRR abs/2110.14830 (2021) - 2020
- [j119]Chengwu Liang, Deyin Liu, Lin Qi, Ling Guan:
Multi-Modal Human Action Recognition With Sub-Action Exploiting and Class-Privacy Preserved Collaborative Representation Learning. IEEE Access 8: 39920-39933 (2020) - [j118]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) - [j117]Song Wang, Xin Guo, Yun Tie, Ivan Lee, Lin Qi, Ling Guan:
Weighted hybrid fusion with rank consistency. Pattern Recognit. Lett. 138: 329-335 (2020) - [j116]Abhishek Gupta, Ahmed Shaharyar Khwaja, Alagan Anpalagan, Ling Guan, Bala Venkatesh:
Policy-Gradient and Actor-Critic Based State Representation Learning for Safe Driving of Autonomous Vehicles. Sensors 20(21): 5991 (2020) - [j115]Lei Gao, Ling Guan:
A Complete Discriminative Tensor Representation Learning for Two-Dimensional Correlation Analysis. IEEE Signal Process. Lett. 27: 1894-1898 (2020) - [j114]Thanh Hong-Phuoc, Ling Guan:
A Novel Key-Point Detector Based on Sparse Coding. IEEE Trans. Image Process. 29: 747-756 (2020) - [j113]Song Wang, Xin Guo, Yun Tie, Lin Qi, Ling Guan:
Deep Local Feature Descriptor Learning With Dual Hard Batch Construction. IEEE Trans. Image Process. 29: 9572-9583 (2020) - [c239]Lei Gao, Ling Guan:
A Deep Manifold Representation for Information Discovery. CCECE 2020: 1-4 - [c238]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 - [c237]Randy Tan, Naimul Mefraz Khan, Ling Guan:
Locality Guided Neural Networks for Explainable Artificial Intelligence. IJCNN 2020: 1-8 - [c236]Xin Guo, Song Wang, Yun Tie, Lin Qi, Ling Guan:
Negative Label Guided Discriminative Canonical Correlation Analysis for Semi-Supervised and Semi-Paired Learning. ISCAS 2020: 1-5 - [c235]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 - [c234]Yurui Xie, Ling Guan:
Automatic Sparsity-Aware Recognition for Keypoint Detection. ISM 2020: 127-134 - [c233]Thanh Hong-Phuoc, Ling Guan:
An Effective Rotational Invariant Key-point Detector for Image Matching. ISM 2020: 206-209 - [i6]Randy Tan, Naimul Mefraz Khan, Ling Guan:
Locality Guided Neural Networks for Explainable Artificial Intelligence. CoRR abs/2007.06131 (2020) - [i5]Thanh Hong-Phuoc, Ling Guan:
A Scale and Rotational Invariant Key-point Detector based on Sparse Coding. CoRR abs/2010.06264 (2020)
2010 – 2019
- 2019
- [j112]Shuo Yu, Waleed Ejaz, Ling Guan, Alagan Anpalagan, Imran A. Rizvi:
Resource allocation in RF energy harvesting-assisted underlay D2D communication. Trans. Emerg. Telecommun. Technol. 30(7) (2019) - [j111]Fei Wu, Xincan Zhao, Penglei Zhan, Ling Guan:
自适应邻域选择的FPFH特征提取算法 (FPFH Feature Extraction Algorithm Based on Adaptive Neighborhood Selection). 计算机科学 46(2): 266-270 (2019) - [j110]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) - [j109]Nour El-Din El-Madany, Yifeng He, Ling Guan:
Multimodal Learning for Human Action Recognition Via Bimodal/Multimodal Hybrid Centroid Canonical Correlation Analysis. IEEE Trans. Multim. 21(5): 1317-1331 (2019) - [c232]Hui Zhang, Tao Wang, Yunshan Zhang, Yujie Pei, Zhongbin Bai, Ling Guan, Yaoding Gu, Jianguo Xu:
Winding Deformation Detection of Transformer Based on Sweep Frequency Impedance. AISI 2019: 1072-1079 - [c231]Lei Gao, Ling Guan:
A Discriminant Two-Dimensional Canonical Correlation Analysis. CCECE 2019: 1-4 - [c230]Nour El-Din El-Madany, Yifeng He, Ling Guan:
Discriminative Feature Selection Guided Deep Canonical Correlation Analysis. ICASSP 2019: 3487-3491 - [c229]Lei Gao, Ling Guan:
Information Fusion via Multimodal Hashing with Discriminant Canonical Correlation Maximization. ICIAR (2) 2019: 81-93 - [c228]Julien Li-Chee-Ming, Zheng Wu, Randy Tan, Ryan Tan, Naimul Mefraz Khan, Andy Gean Ye, Ling Guan:
A Scene-Based Augmented Reality Framework for Exhibits. ICIAR (1) 2019: 287-296 - [c227]Gareth Higgins, Ling Guan, Azhar Quddus, Ali Shahidi Zandi:
Safely Caching HOG Pyramid Feature Levels, to Speed up Facial Landmark Detection. ICIAR (1) 2019: 357-363 - [c226]Lei Gao, Ling Guan:
Information Fusion via Multimodal Hashing With Discriminant Correlation Maximization. ICIP 2019: 2224-2228 - [c225]Lei Gao, Ling Guan:
Information Fusion via Deep Cross-Modal Factor Analysis. ISCAS 2019: 1-5 - [c224]Song Wang, Xin Guo, Yun Tie, Lin Qi, Ling Guan:
A Novel Weighted Hybrid Multi-View Fusion Algorithm for Semi-Supervised Classification. ISCAS 2019: 1-5 - [c223]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 - [c222]Song Wang, Xin Guo, Yun Tie, Lin Qi, Ling Guan:
Local Feature Descriptor Learning with a Dual Hard Sampling Strategy. ISM 2019: 112-115 - [c221]Naimul Mefraz Khan, Nabila Abraham, Marcia Hon, Ling Guan:
Machine Learning on Biomedical Images: Interactive Learning, Transfer Learning, Class Imbalance, and Beyond. MIPR 2019: 85-90 - [i4]Naimul Mefraz Khan, Nabila Abraham, Ling Guan:
Machine Learning on Biomedical Images: Interactive Learning, Transfer Learning, Class Imbalance, and Beyond. CoRR abs/1902.05908 (2019) - 2018
- [j108]Song Wang, Xin Guo, Yun Tie, Ivan Lee, Lin Qi, Ling Guan:
Graph-Based Safe Support Vector Machine for Multiple Classes. IEEE Access 6: 28097-28107 (2018) - [j107]Kaveh Khorramnejad, Lilatul Ferdouse, Ling Guan, Alagan Anpalagan:
Performance of integrated workload scheduling and pre-fetching in multimedia mobile cloud computing. J. Cloud Comput. 7: 13 (2018) - [j106]Ning Zheng, Xin Guo, Yun Tie, Nan Dong, Lin Qi, Ling Guan:
Incremental generalized multiple maximum scatter difference with applications to feature extraction. J. Vis. Commun. Image Represent. 55: 67-79 (2018) - [j105]Xin Guo, Song Wang, Yun Tie, Lin Qi, Ling Guan:
Joint intermodal and intramodal correlation preservation for semi-paired learning. Pattern Recognit. 81: 36-49 (2018) - [j104]Chengwu Liang, Lin Qi, Yifeng He, Ling Guan:
3D Human Action Recognition Using a Single Depth Feature and Locality-Constrained Affine Subspace Coding. IEEE Trans. Circuits Syst. Video Technol. 28(10): 2920-2932 (2018) - [j103]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) - [j102]Nour El-Din El-Madany, Yifeng He, Ling Guan:
Information Fusion for Human Action Recognition via Biset/Multiset Globality Locality Preserving Canonical Correlation Analysis. IEEE Trans. Image Process. 27(11): 5275-5287 (2018) - [j101]Naimul Mefraz Khan, Riadh Ksantini, Ling Guan:
A Novel Image-Centric Approach Toward Direct Volume Rendering. ACM Trans. Intell. Syst. Technol. 9(4): 42:1-42:18 (2018) - [c220]Lei Gao, Ling Guan:
Information Fusion VIA Optimized KECA with Application to Audio Emotion Recognition. CyberC 2018 - [c219]Thanh Hong-Phuoc, Yifeng He, Ling Guan:
SCK: A Sparse Coding Based Key-Point Detector. ICIP 2018: 3768-3772 - [c218]Fei Guo, Yifeng He, Ling Guan:
Deep Camera Pose Regression Using Motion Vectors. ICIP 2018: 4073-4077 - [c217]Nour El-Din El-Madany, Yifeng He, Ling Guan:
Integrating Entropy Skeleton Motion Maps and Convolutional Neural Networks for Human Action Recognition. ICME 2018: 1-6 - [c216]Zheng Wu, Naimul Mefraz Khan, Lei Gao, Ling Guan:
Deep Reinforcement Learning with Parameterized Action Space for Object Detection. ISM 2018: 101-104 - [c215]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 - [c214]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 - [i3]Thanh Hong-Phuoc, Yifeng He, Ling Guan:
SCK: A sparse coding based key-point detector. CoRR abs/1802.02647 (2018) - 2017
- [j100]Yifeng He, Ziyang Zhang, Xiaoming Nan, Ning Zhang, Fei Guo, Edward Rosales, Ling Guan:
vConnect: perceive and interact with real world from CAVE. Multim. Tools Appl. 76(1): 1479-1508 (2017) - [j99]Xiaoming Nan, Xun Guo, Yan Lu, Yifeng He, Ling Guan, Shipeng Li, Baining Guo:
Delay-Rate-Distortion Optimization for Cloud Gaming With Hybrid Streaming. IEEE Trans. Circuits Syst. Video Technol. 27(12): 2687-2701 (2017) - [j98]Ling Zhong, Muhammad Talal Ibrahim, Yun Zhang, Ling Guan:
Hybrid Vector Filters based on Marginal Ordering for Impulsive Noise Suppression in Color Images. J. Signal Process. Syst. 89(2): 379-394 (2017) - [j97]Shuo Yu, Waleed Ejaz, Ling Guan, Alagan Anpalagan:
Resource Allocation Schemes in D2D Communications: Overview, Classification, and Challenges. Wirel. Pers. Commun. 96(1): 303-322 (2017) - [c213]Fei Guo, Yifeng He, Ling Guan:
RGB-D camera pose estimation using deep neural network. GlobalSIP 2017: 408-412 - [c212]Nour El-Din El-Madany, Yifeng He, Ling Guan:
Human action recognition by fusing deep features with Globality Locality Preserving Canonical Correlation Analysis. ICIP 2017: 2871-2875 - [c211]Salah Rabba, Yifeng He, Matthew J. Kyan, Ling Guan:
Pupil localization for gaze estimation using unsupervised graph-based model. ISCAS 2017: 1-4 - [c210]Chengwu Liang, Enqing Chen, Lin Qi, Ling Guan:
Heterogeneous Features Fusion with Collaborative Representation Learning for 3D Action Recognition. ISM 2017: 162-168 - [c209]Randy Tan, Naimul Mefraz Khan, Ling Guan:
Real-Time System for Human Activity Analysis. ISM 2017: 420-425 - [c208]Chengwu Liang, Lin Qi, Ling Guan:
Motion energy guided multi-scale heterogeneous features for 3D action recognition. VCIP 2017: 1-4 - [c207]Shuo Yu, Waleed Ejaz, Ling Guan, Alagan Anpalagan:
Resource Allocation for Energy Harvesting Assisted D2D Communications Underlaying OFDMA Cellular Networks. VTC Fall 2017: 1-7 - [i2]Randy Tan, Naimul Mefraz Khan, Ling Guan:
Real-Time System for Human Activity Analysis. CoRR abs/1711.11115 (2017) - [i1]Naimul Mefraz Khan, Riadh Ksantini, Ling Guan:
A Novel Image-centric Approach Towards Direct Volume Rendering. CoRR abs/1711.11123 (2017) - 2016
- [j96]Lei Gao, Lin Qi, Ling Guan:
Online Behavioral Analysis with Application to Emotion State Identification. IEEE Intell. Syst. 31(5): 32-39 (2016) - [j95]Xin Guo, Yun Tie, Lin Qi, Ling Guan:
A Novel Semi-Supervised Dimensionality Reduction Framework. IEEE Multim. 23(2): 28-41 (2016) - [j94]Chengwu Liang, Enqing Chen, Lin Qi, Ling Guan:
Improving Action Recognition Using Collaborative Representation of Local Depth Map Feature. IEEE Signal Process. Lett. 23(9): 1241-1245 (2016) - [c206]Chengwu Liang, Lin Qi, Enqing Chen, Ling Guan:
Depth-based action recognition using multiscale sub-actions depth motion maps and local auto-correlation of space-time gradients. BTAS 2016: 1-7