Education
| • 09/2005-07/2010 | Ph.D., Pattern Recognition and Intelligent System, University of Science and Technology of China (USTC) |
| • 09/2001-07/2005 | B.Eng., Automation, University of Science and Technology of China (USTC) |
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Experience
| • 07/2017-now | Professor, Northwestern Polytechnical University, China |
| • 01/2014-06/2017 | Associate Professor, Northwestern Polytechnical University, China |
| • 10/2010-12/2013 | Post-doctor, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, China |
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Research Interests
Computer vision, pattern recognition, machine learning methods and their related applications particularly in video surveillance, intelligent transportation system, remote sensing and multimedia analysis.
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Selected Journal Publications
- Q. Wang, Q. Li, and X. Li Hyperspectral Image Superresolution Using Spectrum and Feature Context IEEE Transactions on Industrial Electronics (T-IE) vol. 68, no. 11, pp. 11276-11285, 2021
- Q. Wang, X. Jiang, M. Chen, and X. Li Auto-weighted Multi-view Feature Selection with Graph Optimization IEEE Transactions on Cybernetics (T-CYB) DOI: 10.1109/TCYB.2021.3094843
- C. Zhang, Q. Wang, and X. Li V-LPDR: Towards a Unified Framework for License Plate Detection, Tracking, and Recognition in Real-World Traffic Videos Neurocomputing vol. 449, pp.189-206, 2021
- W. Lin, J. Gao, Q. Wang*, and X. Li, “Learning to Detect Anomaly Events in Crowd Scenes from Synthetic Data,” Neurocomputing, DOI: 10.1016/j.neucom.2021.01.031.
- Y. Yuan, X. Li, Q. Wang*, and F. Nie, “A Semi-supervised Learning Algorithm via Adaptive Laplacian Graph,” Neurocomputing, vol. 426, pp. 162-173, 2021.[PDF]
- Q. Wang, R. Liu, M. Chen, and X. Li Robust Rank Constrained Sparse Learning: A Graph-Based Framework for Single-View and Multi-View Clustering IEEE Transactions on Cybernetics (T-CYB) DOI:10.1109/TCYB.2021.3067137
- X. Li, Z. Zhao, and Q. Wang*, “ABSSNet: Attention Based Spatial Segmentation Network for Traffic Scene Understanding,” IEEE Transactions on Cybernetics (T-CYB), DOI: 10.1109/TCYB.2021.3050558.[PDF]
- X. Li, Q. Wang, F. Nie, and M. Chen, “Locality Adaptive Discriminant Analysis Framework,” IEEE Transactions on Cybernetics (T-CYB), DOI: 10.1109/TCYB.2021.3049684.[PDF]
- Z. Xiong, Y. Yuan, and Q. Wang, “ASK: Adaptively Selecting Key Local Features for RGB-D Scene Recognition,” IEEE Transactions on Image Processing (T-IP), vol. 30, pp. 2722-2733, 2021.[PDF]
- Q. Wang, T. Han, J. Gao, and Y. Yuan Neuron Linear Transformation: Modeling the Domain Shift for Crowd Counting IEEE Transactions on Neural Networks and Learning Systems (T-NNLS) DOI: 10.1109/TNNLS.2021.3051371
- X. Li, R. Zhang, Q. Wang, and H. Zhang, “Autoencoder Constrained Clustering with Adaptive Neighbors,” IEEE Transactions on Neural Networks and Learning Systems (T-NNLS), vol. 32, pp. 433-449, 2021.
- Q. Wang, Q. Li, and X. Li, “A Fast Neighborhood Grouping Method for Hyperspectral Band Selection,” IEEE Transactions on Geoscience and Remote Sensing (T-GRS), vol. 59, no. 6, pp. 5028-5039, 2021.[PDF] [Code]
- X. Li, X. Zhang, W. Huang, and Q. Wang*, “Truncation Cross Entropy Loss for Remote Sensing Image Captioning,” IEEE Transactions on Geoscience and Remote Sensing (T-GRS), vol. 59, no. 6, pp. 5246-5257, 2021.[PDF]
- X. Li, Y. Yuan, Q. Wang*, “Hyperspectral and Multispectral Image Fusion via Nonlocal Low Rank Tensor Approximation and Sparse Representation,” IEEE Transactions on Geoscience and Remote Sensing (T-GRS), vol. 59, no. 1, pp. 550-562, 2021. [PDF]
- Q. Wang, Z. Qin, F. Nie, and X. Li, “C2DNDA: A Deep Framework for Nonlinear Dimensionality Reduction,” IEEE Transactions on Industrial Electronics (T-IE), vol. 68, no. 2, pp. 1684-1694, 2021. [PDF] [Code]
- Q. Wang, J. Gao, W. Lin, and Y. Yuan, “Pixel-wise Crowd Understanding via Synthetic Data,” International Journal of Computer Vision (IJCV), vol. 129, pp. 225-245, 2021.[PDF][Project/Code/Dataset]
- Q. Wang, J. Gao, W. Lin, and X. Li NWPU-Crowd: A Large-Scale Benchmark for Crowd Counting and Localization IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI) vol. 43, no. 6, pp. 2141-2149, 2021
- W. Huang, Q. Wang*, and X. Li, “Denoising Based Multi-Scale Feature Fusion for Remote Sensing Image Captioning,” IEEE Geoscience and Remote Sensing Letters (GRSL), vol. 18, no. 3, pp. 436-440, 2021.[PDF]
- Z. Xiong, Y. Yuan, and Q. Wang, “MSN: Modality Separation Networks for RGB-D Scene Recognition,” Neurocomputing, vol. 373, pp. 81-89, 2020. [PDF]
- R. Zhu, J. Fang, S. Li, Q. Wang, H. Xu, J. Xue, and H. Yu, “Vehicle Re-identification in Tunnel Scenes via Synergistically Cascade Forests,” Neurocomputing, vol. 381, pp. 227-239, 2020. [PDF]
- Q. Wang, M. Chen, F. Nie, and X. Li, “Detecting Coherent Groups in Crowd Scenes by Multiview Clustering,” IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), vol. 42, no. 1, pp. 46-58, 2020. [PDF]
- X. Li, Y. Yuan, and Q. Wang*, “Hyperspectral and Multispectral Image Fusion Based on Band Simulation,” IEEE Geoscience and Remote Sensing Letters (GRSL), vol. 17, no. 3, pp. 479-483, 2020. [PDF]
- X. Li, M. Chen, and Q. Wang*, “Adaptive Consistency Propagation Method for Graph Clustering,” IEEE Transactions on Knowledge and Data Engineering (T-KDE), vol. 32, no. 4, pp. 797-802, 2020. [PDF] [Code Link1 Link2 ]
- X. Li, M. Chen, and Q. Wang*, “Discrimination-Aware Projected Matrix Factorization,” IEEE Transactions on Knowledge and Data Engineering (T-KDE), vol. 32, no. 4, pp. 809-814, 2020. [PDF]
- J. Gao, Q. Wang*, and X. Li, “PCC Net: Perspective Crowd Counting via Spatial Convolutional Network,” IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), vol. 30, no. 10, pp. 3486-3498, 2020. [PDF] [Code]
- Z. Zhao, Q. Wang, and X. Li, “Deep Reinforcement Learning Based Lane Detection and Localization,” Neurocomputing, vol. 413, pp. 328-338, 2020.[PDF]
- Y. Lu, Y. Yuan, and Q. Wang, “A Dense Connection Based Network for Real-time Object Tracking,” Neurocomputing, vol. 410, pp. 229-236, 2020.
- J. Lin, L. Zhao, Q. Wang*, Z. Wang, and R. Ward, “DT-LET: Deep Transfer Learning by Exploring Where to Transfer,” Neurocomputing, vol. 390, pp. 99-107, 2020. [PDF]
- D. Wang, Y. Yuan, and Q. Wang, “Gated Forward Refinement Network for Action Segmentation,” Neurocomputing, vol. 407, pp. 63-71, 2020. [PDF]
- Y. Yuan, J. Zhang, and Q. Wang*, “Deep Gabor Convolution Network for Person Re-identification,” Neurocomputing, vol. 378, pp. 387-398, 2020. [PDF]
- J. Gao, Y. Yuan, and Q. Wang*, “Feature-aware Adaptation and Density Alignment for Crowd Counting in Video Surveillance,” IEEE Transactions on Cybernetics (T-CYB), DOI: 10.1109/TCYB.2020.3034316.[PDF]
- Q. Wang, W. Lin, J. Gao, and X. Li, “Density-aware Curriculum Learning for Crowd Counting,” IEEE Transactions on Cybernetics (T-CYB), DOI: 10.1109/TCYB.2020.3033428.[PDF] [Code]
- J. Wang, G. Zhang, K. Zhang, Y. Zhao, Q. Wang, and X. Li, “Detection of Small Aerial Object Using Random Projection Feature with Region Clustering,” IEEE Transactions on Cybernetics (T-CYB), DOI: 10.1109/TCYB.2020.3018120.
- X. Li, M. Chen, and Q. Wang*, “Quantifying and Detecting Collective Motion in Crowd Scenes,” IEEE Transactions on Image Processing (T-IP), vol. 29, pp. 5571-5583, 2020. [PDF]
- Q. Wang, W. Huang, Z. Xiong, and X. Li, “Looking Closer at the Scene: Multi-Scale Representation Learning for Remote Sensing Image Scene Classification,” IEEE Transactions on Neural Networks and Learning Systems (T-NNLS), DOI: 10.1109/TNNLS.2020.3042276.[PDF] [Code]
- Q. Wang, T. Han, Z. Qin, J. Gao, and X. Li, “Multi-task Attention Network for Lane Detection and Fitting,” IEEE Transactions on Neural Networks and Learning Systems (T-NNLS), DOI: 10.1109/TNNLS.2020.3039675.[PDF]
- Q. Li, Q. Wang* and X. Li, “Exploring the Relationship between 2D/3D Convolution for Hyperspectral Image Super-Resolution,” IEEE Transactions on Geoscience and Remote Sensing (T-GRS), DOI: 10.1109/TGRS.2020.3047363.[PDF] [Code]
- Q. Wang, W. Huang, X. Zhang, and X. Li, “Word-Sentence Framework for Remote Sensing Image Captioning,” IEEE Transactions on Geoscience and Remote Sensing (T-GRS), DOI: 10.1109/TGRS.2020.3044054.[PDF]
- X. Zhang, W. Huang, Q. Wang, and X. Li, “SSR-NET: Spatial-Spectral Reconstruction Network for Hyperspectral and Multispectral Image Fusion,” IEEE Transactions on Geoscience and Remote Sensing (T-GRS), vol. 59, no. 7, pp. 5953-5965, 2021.[PDF] [Code]
- Q. Wang, F. Zhang, and X. Li, “Hyperspectral Band Selection via Optimal Neighborhood Reconstruction,” IEEE Transactions on Geoscience and Remote Sensing (T-GRS), vol. 58, no. 12, pp. 8465-8476 , 2020. [PDF] [Code] [Dataset Link1 Link2 ]
- Q. Wang, Q. Li, and X. Li, “Hyperspectral Image Super-Resolution Using Spectrum and Feature Context,” IEEE Transactions on Industrial Electronics (T-IE), DOI: 10.1109/TIE.2020.303809.[PDF] [Code]
- Q. Wang, X. He, X. Jiang, and X. Li, “Robust Bi-stochastic Graph Regularized Matrix Factorization for Data Clustering,” IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), DOI: 10.1109/TPAMI.2020.3007673.[PDF]
- Q. Li, Q. Wang*, and X. Li, “Mixed 2D/3D Convolutional Network for Hyperspectral Image Super-Resolution,” Remote Sensing, vol. 12, no. 10, 1660, 2020. [PDF] [Code]
- Y. Yuan, Z. Zhang, and Q. Wang*, “Improved Collaborative Nonnegative Matrix Factorization and Total Variation for Hyperspectral Unmixing,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS), vol. 13, no. 1, pp. 998-1010, 2020. [PDF]
- Y. Yuan, Y. Lu,and Q. Wang*, “Adaptive Forward Vehicle Collision Warning Based on Driving Behavior,” Neurocomputing, vol. 408, pp. 64-71, 2019. [PDF]
- J. Gao, Q. Wang*, and Y. Yuan, “SCAR: Spatial-/Channel-wise Attention Regression Networks for Crowd Counting,” Neurocomputing, vol. 363. pp. 1-8, 2019. [PDF] [Code]
- Q. Wang, J. Gao, and X. Li, “Weakly Supervised Adversarial Domain Adaptation for Semantic Segmentation in Urban Scenes,” IEEE Transactions on Image Processing (T-IP), vol. 28, no. 9, pp. 4376-4386, 2019. [PDF] [Code]
- Y. Yuan, Z. Xiong, and Q. Wang*, “VSSA-NET: Vertical Spatial Sequence Attention Network for Traffic Sign Detection,” IEEE Transactions on Image Processing (T-IP), vol. 28, no. 7, pp. 3423-3434, 2019.[PDF]
- Q. Wang, J. Wan, F. Nie, B. Liu, C. Yan, and X. Li, “Hierarchical Feature Selection for Random Projection,” IEEE Transactions on Neural Networks and Learning Systems (T-NNLS), vol. 30, no. 5, pp. 1581-1586, 2019. [PDF]
- B. Liu, D. Lyu, M. Geist, W. Dong, S. Biaz, and Q. Wang, “Stable and Efficient Policy Evaluation,” IEEE Transactions on Neural Networks and Learning Systems (T-NNLS), vol. 30, no. 6, pp. 1831-1840, 2019. [PDF]
- Q. Wang, Z. Qin, F. Nie, and X. Li, “Spectral Embedded Adaptive Neighbors Clustering,” IEEE Transactions on Neural Networks and Learning Systems (T-NNLS), vol. 30, no. 4, pp. 1265-1271, 2019. [PDF] [Code Link1 Link2 ]
- Q. Wang, S. Liu, J. Chanussot, and X. Li, “Scene Classification with Recurrent Attention of VHR Remote Sensing Images,” IEEE Transactions on Geoscience and Remote Sensing (T-GRS), vol. 57, no. 2, pp. 1155-1167, 2019. [PDF] [Dataset Link1 Link2 ] [Code]
- Q. Wang, X. He, and X. Li, “Locality and Structure Regularized Low Rank Representation for Hyperspectral Image Classification,” IEEE Transactions on Geoscience and Remote Sensing (T-GRS), vol. 57, no.2, pp. 911-923, 2019. [PDF]
- Q. Wang*, Z. Yuan, Q. Du and X. Li, “GETNET: A General End-to-end Two-dimensional CNN Framework for Hyperspectral Image Change Detection,” IEEE Transactions on Geoscience and Remote Sensing (T-GRS), vol. 57, no. 1, pp. 3-13, 2019. [PDF] [Dataset Link1 Link2 ] [Code](Access Code: kou3)
- Y. Zhao, Y. Yuan, and Q. Wang, “Fast Spectral Clustering for Unsupervised Hyperspectral Image Classification,” Remote Sensing, vol. 11, no. 4, 399, 2019. [PDF] [Code Link1 Link2 ]
- Q. Li, Q. Wang*, and X. Li, “An Efficient Clustering Method for Hyperspectral Optimal Band Selection via Shared Nearest Neighbor,” Remote Sensing, vol. 11, no. 3, 350, 2019. [PDF]
- X. Li, Z. Yuan, and Q. Wang*, “Unsupervised Deep Noise Modeling for Hyperspectral Image Change Detection,” Remote Sensing, vol. 11, no. 3, 258, 2019. [PDF]
- Q. Wang, Q. Li, and X. Li, “Hyperspectral Band Selection via Adaptive Subspace Partition Strategy,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS), vol. 12, no. 12, pp. 4940-4950, 2019. [PDF] [Code]
- Q. Wang, J. Wan, and X. Li, “Robust Hierarchical Deep Learning for Vehicular Management,” IEEE Transactions on Vehicular Technology (T-IV), vol. 68, no. 5, pp. 4148-4156, 2019.[PDF]
- Y. Huang, X. Cao, Q. Wang, B. Zhang, and X. Li, “Long-short Term Features for Dynamic Scene Classification,” IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), vol. 29, no. 4, pp. 1038-1047, 2019. [PDF]
- J. Zhang, Y. Yuan, and Q. Wang, “Night Person Re-identification and A Benchmark,” IEEE Access, vol. 7, no. 1, pp. 95496-95504, 2019. [PDF] [Dataset]
- W. Min, X. Li, Q. Wang, Q. Zeng, and Y. Liao, “A New Approach to Vehicle License Plate Location Based on New Model YOLO-L and Plate Pre-Identification,” IET Image Processing (IET IP), vol. 13, no. 7, pp. 1041-1049, 2019.
- J. Zhang, Q. Wang*, and Y. Yuan, “Metric Learning by Simultaneously Learning Linear Transformation Matrix and Weight Matrix for Person Re-identification,” IET Computer Vision (IET CV), vol. 13, no. 4, pp. 428-434, 2019. [PDF]
- Y. Zhao, Y. Yuan, F. Nie, and Q. Wang*, “Spectral Clustering based on Iterative Optimization for Large-scale and High-dimensional Data,” Neurocomputing, vol. 318, pp. 227-235, 2018. [PDF]
- Y. Yuan, Y. Zhao, and Q. Wang*, “Action Recognition using Spatial-optical Data Organization and Sequential Learning Framework,” Neurocomputing, vol. 315, pp. 221-233, 2018. [PDF]
- Y. Deng, H. Li, Q. Wang, and Q. Du, “Nuclear Norm-based Matrix Regression Preserving Embedding for Face Recognition,” Neurocomputing, vol. 311, pp. 279-290, 2018. [PDF]
- M. Chen, Q. Wang*, and X. Li, “Adaptive Projected Matrix Factorization Method for Data Clustering,” Neurocomputing, vol. 306, pp. 182-188, 2018. [PDF] [Code]
- Z. Jiang, Y. Yuan, and Q. Wang*, “Contour-Aware Network for Semantic Segmentation via Adaptive Depth,” Neurocomputing, vol. 284, pp. 27-35, 2018. [PDF]
- Y.Yuan, J. Fang, and Q. Wang*, “Incrementally Perceiving Hazards in Driving,” Neurocomputing, vol. 282, pp. 202-217, 2018. [PDF]
- X. Li, M. Chen, and Q. Wang*, “Self-Tuned Discrimination-Aware Method for Unsupervised Feature Selection,” IEEE Transactions on Neural Networks and Learning Systems (T-NNLS), vol. 30, no. 8, pp. 2275-2284, 2018. [PDF]
- Q. Wang, F. Zhang, and X. Li, “Optimal Clustering Framework for Hyperspectral Band Selection,” IEEE Transactions on Geoscience and Remote Sensing (T-GRS), vol. 56, no. 10, pp. 5910-5922, 2018. [PDF] [Code]
- M. Chen, Q. Wang*, and X. Li, “Discriminant Analysis with Graph Learning for Hyperspectral Image Classification,” Remote Sensing, vol. 10, no. 6, 836, 2018. [PDF]
- D. Ma, Y. Yuan, and Q. Wang*, “Hyperspectral Anomaly Detection via Discriminative Feature Learning with Multiple-Dictionary Sparse Representation,” Remote Sensing, vol. 10, no. 5, 745, 2018.[PDF]
- Q. Wang, J. Gao, and Y. Yuan, “Embedding Structured Contour and Location Prior in Siamesed Fully Convolutional Networks for Road Detection,” IEEE Transactions on Intelligent Transportation Systems (T-ITS), vol. 19, no. 1, pp. 230-241, 2018. [PDF]
- Q. Wang, J. Gao, and Y. Yuan, “A Joint Convolutional Neural Networks and Context Transfer for Street Scenes Labeling,” IEEE Transactions on Intelligent Transportation Systems (T-ITS), vol. 19, no. 5, pp. 1457-1470, 2018. [PDF]
- Q. Wang, J. Wan, and Y. Yuan, “Deep Metric Learning for Crowdedness Regression,” IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), vol. 28, no. 10, pp. 2633-2643, 2018. [PDF] [Dataset Link1 Link2 ]
- Y. Yuan, J. Zhang, and Q. Wang*, “Bike-Person Re-identification: A Benchmark and A Comprehensive Evaluation,” IEEE Access, vol. 6, pp. 56059-56068, 2018. [PDF][Dataset Link1 Link2 ]
- Q. Wang, J. Wan, and Y. Yuan, “Locality Constraint Distance Metric Learning for Traffic Congestion Detection,” Pattern Recognition (PR), vol. 75, pp. 272-281, 2018. [PDF] [Dataset Link1 Link2 ]
- J. Fang, H. Xu, Q. Wang*, and T. Wu, “Online Hash Tracking with Spatio-temporal Saliency Auxiliary,” Computer Vision and Image Understanding (CVIU), vol. 160, pp. 57-72, 2017. [PDF]
- Q. Wang, Z. Meng, and X. Li, “Locality Adaptive Discriminant Analysis for Spectral-Spatial Classification of Hyperspectral Images,” IEEE Geoscience and Remote Sensing Letters (GRSL), vol. 14, no. 11, pp. 2077-2081, 2017. [PDF]
- Y. Yuan, Y. Lu, and Q. Wang*, “Tracking as A Whole: Multi-Target Tracking by Modeling Group Behavior with Sequential Detection,” IEEE Transactions on Intelligent Transportation Systems (T-ITS), vol. 18, no. 12, pp. 3339-3349, 2017. [PDF]
- Y. Yuan, Z. Xiong, and Q. Wang*, “An Incremental framework for Video-based Traffic Sign Detection, Tracking and Recognition,” IEEE Transactions on Intelligent Transportation Systems (T-ITS), vol. 18, no. 7, pp. 1918-1929, 2017. [PDF]
- Y. Yuan, D. Wang, and Q. Wang*, “Anomaly Detection in Traffic Scenes via Spatial-aware Motion Reconstruction,” IEEE Transactions on Intelligent Transportation Systems (T-ITS), vol. 18, no. 5, pp. 1198-1209, 2017. [PDF] [Dataset Link1 Link2 ]
- Y, Yuan, D. Ma, and Q. Wang*, “Hyperspectral Anomaly Detection by Graph Pixel Selection,” IEEE Transactions on Cybernetics (T-CYB), vol. 46, no. 12, pp. 3123-3134, 2016. [PDF]
- Y. Yuan, J. Lin, and Q. Wang*, “Hyperspectral Image Classification via Multi-Task Joint Sparse Representation and Stepwise MRF Optimization,” IEEE Transactions on Cybernetics (T-CYB), vol. 46, no. 12, pp. 2966-2977, 2016. [PDF]
- Q. Wang, J. Lin, and Y. Yuan, “Salient Band Selection for Hyperspectral Image Classification via Manifold Ranking,” IEEE Transactions on Neural Networks and Learning Systems (T-NNLS), vol. 27, no. 6, 1279-1289, 2016. [PDF]
- Y. Yuan, J. Lin, and Q. Wang*, “Dual Clustering Based Hyperspectral Band Selection by Contextual Analysis,” IEEE Transactions on Geoscience and Remote Sensing (T-GRS), vol. 54, no. 3, pp. 1431-1445, 2016. [PDF]
- X. Li, M. Chen, and Q. Wang*, “Measuring Collectiveness via Refined Topological Similarity,” ACM Transactions on Multimedia Computing Communications and Applications (TOMM), vol. 12, no. 2, pp.34:1-34:22, 2016. [PDF] [Demo Link1 Link2 ]
- Y. Yuan, J. Wan, and Q. Wang*, “Congested Scene Classification via Efficient Unsupervised Feature Learning and Density Estimation,” Pattern Recognition (PR), vol. 56, pp. 159-169, 2016. [PDF] [Dataset Link1 Link2 ][Demo Link1 Link2 ]
- Y. Yuan, Z. Jiang, and Q. Wang*, “Video-based Road Detection via Online Structural Learning,” Neurocomputing, vol. 168, pp. 336-347, 2015. [PDF] [Demo Link1 Link2 ]
- Q. Wang, J. Fang, and Y. Yuan, “Adaptive Road Detection via Context-aware Label Transfer,” Neurocomputing, vol. 158, pp. 174-183, 2015. [PDF]
- Y. Tang, H. Chen, Z. Liu, B. Song, and Q. Wang*, “Example-based Super-resolution via Social Images,” Neurocomputing, vol. 172, pp. 38–47, 2015. [PDF]
- Y. Yuan, J. Fang, and Q. Wang*, “Online Anomaly Detection in Crowd Scenes via Structure Analysis,” IEEE Transactions on Cybernetics (T-CYB), vol. 43, no. 3, pp. 548-561, 2015. [PDF]
- Y. Yuan, Q. Wang, and G. Zhu Fast Hyperspectral Anomaly Detection via High-Order 2D Crossing Filter IEEE Transactions on Geoscience and Remote Sensing (T-GRS) vol. 53, no. 2, pp. 620-630, 2015
- Y. Yuan, G. Zhu, and Q. Wang, “Hyperspectral Band Selection by Multi-task Sparsity Pursuit,” IEEE Transactions on Geoscience and Remote Sensing (T-GRS), vol. 53, no. 2, pp. 631-644, 2015. [PDF]
- Q. Wang and X. Li, “Shrink Image by Feature Matrix Decomposition,” Neurocomputing, vol. 140, pp.162-171, 2014. [PDF]
- Q. Wang and Y. Yuan, “High Quality Image Resizing,” Neurocomputing, vol. 131, pp. 348–356, 2014. [PDF] [Demo Link1 Link2 ]
- Q. Wang, J. Fang, and Y. Yuan, “Multi-cue based Tracking,” Neurocomputing, vol. 131, pp. 227–236, 2014. [PDF]
- Q. Wang, and Y. Yuan, “Learning to Resize Image,” Neurocomputing, vol. 131, pp. 357–367, 2014. [PDF]
- G. Zhu, Q. Wang, and Y. Yuan, “NATAS: Neural Activity Trace Aware Saliency,” IEEE Transactions on Cybernetics (T-CYB), vol. 44, no. 7, pp. 1014-1024, 2014. [PDF]
- Y. Yuan, J. Fang, and Q. Wang, “Robust Superpixel Tracking via Depth Fusion,” IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), vol. 24, no. 1, pp. 15-26, 2014. [PDF]
- J. Fang, Q. Wang, and Y. Yuan, “Part-based Online Tracking with Geometry Constraint and Attention Selection,” IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), vol. 24, no. 5, pp. 854-864, 2014. [PDF] [Demo Link1 Link2 ]
- Q. Wang, G. Zhu, and Y. Yuan, “Statistical Quantization for Similarity Search,” Computer Vision and Image Understanding (CVIU), vol. 124, pp. 22-30, 2014. [PDF]
- G. Zhu, Q. Wang, and Y. Yuan, “Tag-saliency: Combining Bottom-up and Top-down Information for Saliency Detection,” Computer Vision and Image Understanding (CVIU), vol. 118, pp. 40-49, 2014. [PDF]
- G. Zhu, Q. Wang, Y. Yuan, and P. Yan, “SIFT on Manifold: An Intrinsic Description,” Neurocomputing, vol. 113, pp. 227-233, 2013. [PDF]
- Q. Wang, C. Zou, Y. Yuan, H. Lu, and P. Yan, “Image Registration by Normalized Mapping,” Neurocomputing, vol. 101, pp. 181-189, 2013. [PDF]
- Q. Wang, Y. Yuan, P. Yan, and X. Li, “Saliency Detection by Multiple-instance Learning,” IEEE Transactions on Cybernetics (T-CYB), vol. 43, no. 2, pp. 660-672, 2013. [PDF]
- G. Zhu, Q. Wang, Y. Yuan, and P. Yan, “Learning Saliency by MRF and Differential Threshold,” IEEE Transactions on Cybernetics (T-CYB), vol. 43, no. 6, pp. 2032-2043, 2013. [PDF]
- Q. Wang, Y. Yuan, and P. Yan, “Visual Saliency by Selective Contrast,” IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), vol. 23, no. 7, pp. 1150-1155, 2013. [PDF]
- Q. Wang, P. Yan, Y. Yuan, and X. Li, “Multi-spectral Saliency Detection,” Pattern Recognition Letters (PRL), vol. 34, no. 1, pp. 34-41, 2013. [PDF]
- M. Chen, Q. Wang*, and X. Li, “Patch-based Topic Model for Group Detection,” SCIENCE CHINA Information Sciences, vol. 60, no. 11, pp.113101, 2017. [PDF]
- Q. Wang, G. Zhu, and Y. Yuan, “Multi-spectral Dataset and Its Application in Saliency Detection,” Computer Vision and Image Understanding (CVIU), vol. 117, no. 12, pp.1748–1754, 2013. [PDF] [Dataset Link1 Link2 ]
- Q. Wang, and S. Li, “Database of Human Segmented Images and Its application in Boundary Detection,” IET Image Processing, vol. 6, no. 3, pp. 222-229, 2012. [PDF]
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Selected Conference Publications
- X. Lu, Y. Yuan, and Q. Wang AWFA-LPD: Adaptive Weight Feature Aggregation for Multi-frame License Plate Detection Proc. ACM International Conference on Multimedia Retrieval (ICMR) 2021
- J. Hu, Q. Wang, and X. Li Road Extraction from Satellite Image via Auxiliary Road Location Prediction Proc. IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2021. Oral
- Y. Miao, Q. Wang, M. Chen, and X. Li Spatial-spectral Hyperspectral Image Classification via Multiple Random Anchor Graphs Ensemble Learning Proc. IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2021
- Q. Li, Q. Wang, and X. Li Hyperspectral Image Super-Resolution via Multi-Domain Feature Learning Proc. IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2021
- S. Bai, J. Gao, Q. Wang*, and X. Li, “Multi-domain Synchronous Refinement Network for Unsupervised Cross-Domain Person Re-Identification,” Proc. IEEE International Conference on Multimedia and Expo (ICME), 2021. Oral.[PDF]
- Q. Li, Q. Wang*, and X. Li, “Hyperspectral Image Super-Resolution via Adjacent Spectral Fusion Strategy,” Proc. International Conference on Acoustic, Speech, and Signal Processing (ICASSP), pp. 1645-1649, 2021.[PDF]
- Y. Yuan, Q. Wang, and X. Li, “Hyperspectral and Multispectral Image Fusion Using Non-Convex Relaxation Low Rank and Total Variation Regularization,” Proc. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2020. [PDF]
- S. Bai, Q. Wang*, and X. Li, “MFI: Multi-range Feature Interchange for Video Action Recognition,” International Conference on Pattern Recognition (ICPR), 2020.[PDF]
- T. Han, J. Gao, Y. Yuan and Q. Wang*, “Unsupervised Semantic Aggregation and Deformable Template Matching for Semi-Supervised Learning,” Proc. Conference on Neural Information Processing Systems (NeurIPS), pp. 9961-9971, 2020.[PDF] [Code]
- C. Zhang, Q. Wang*, and X. Li, “EQ-LPR: Efficient Quality-aware License Plate Recognition,” Proc. IEEE International Conference on Image Processing (ICIP), pp. 653-657, 2020. [PDF]
- Z. Xiong, Y. Yuan, N. Guo and Q. Wang, “Variational Context-Deformable ConvNets for Indoor Semantic Segmentation,” Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 3991-4001, 2020.[PDF]
- R. Liu, M. Chen, Q. Wang*, and X. Li, “Robust Rank Constrained Sparse Learning: A Graph-Based Method for Clustering,” Proc. International Conference on Acoustic, Speech, and Signal Processing (ICASSP), pp. 4217-4221, 2020. [PDF]
- B. Wei, Y. Yuan, Q. Wang*, and X. Li, “MSPNET: Multi-supervised Parallel Network for Crowd Counting,” Proc. International Conference on Acoustic, Speech, and Signal Processing (ICASSP), pp. 2418-2422, 2020. [PDF]
- W. Su, Y. Yuan, and Q. Wang, “Deep Image Deblurring Using Local Correlation Block,” Proc. International Conference on Acoustic, Speech, and Signal Processing (ICASSP), pp. 1908-1912, 2020. [PDF]
- W. Lin, J. Gao, Q. Wang*, and X. Li, “Pixel-Level Self-Paced Learning for Super-Resolution,” Proc. International Conference on Acoustic, Speech, and Signal Processing (ICASSP), pp. 2538-2542, 2020. [PDF] [Code]
- T. Han, J. Gao, Y. Yuan, and Q. Wang*, “Focus on Semantic Consistency for Cross-Domain Crowd Understanding,” Proc. International Conference on Acoustic, Speech, and Signal Processing (ICASSP), pp. 1848-1852, 2020. Oral. [PDF]
- F. Zhang, Q. Wang*, and X. Li, “Deep Meta-relation Network for Visual Few-Shot Learning,” Proc. International Conference on Acoustic, Speech, and Signal Processing (ICASSP), pp. 1509-1513, 2020. [PDF]
- W. Huang, Z. Xiong, Q. Wang*, and X. Li, “KALM: Key Area Localization Mechanism for Abnormality Detection in Musculoskeletal Radiographs,” Proc. International Conference on Acoustic, Speech, and Signal Processing (ICASSP), pp. 1399-1403, 2020. [PDF]
- H. Li, Y. Yuan, and Q. Wang, “Video Frame Interpolation via Residue Refinement,” Proc. International Conference on Acoustic, Speech, and Signal Processing (ICASSP), pp. 2613-2617, 2020. [PDF] [Code]
- C. Zhang, Q. Wang*, and X. Li, “IQ-STAN: Image Quality Guided Spatio-Temporal Attention Network for License Plate Recognition,” Proc. International Conference on Acoustic, Speech, and Signal Processing (ICASSP), pp. 2268-2272, 2020. [PDF]
- W. Huang, Q. Wang*, and X. Li, “Feature Sparsity in Convolutional Neural Networks for Scene Classification of Remote Sensing Image,” Proc. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), pp. 3017-3020, 2019.[PDF]
- X. Zhang, Q. Wang, S. Chen, and X. Li, “Multi-Scale Cropping Mechanism for Remote Sensing Image Captioning,” Proc. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), pp. 10039-10042, 2019. [PDF]
- Z. Zhang, Q. Wang, and Y. Yuan, “Hyperspectral Unmixing via L1/4 Sparsity-Constrained Multilayer NMF,” Proc. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), pp.2143-2146, 2019. [PDF]
- C. Zhang, Q. Wang*, and X. Li, “A Multi-Task Architecture for Remote Sensing by Joint Scene Classification and Image Quality Assessment,” Proc. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), pp. 10055-10058, 2019. [PDF]
- J. Su, Q. Wang, S. Chen, and X. Li, “An Introspective Learning Strategy for Remote Sensing Scene Classification,” Proc. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), pp. 533-536, 2019. [PDF]
- Q. Wang*, J. Gao, W. Lin, and Y. Yuan, “Learning from Synthetic Data for Crowd Counting in the Wild,” Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 8190-8199, 2019. [PDF] [Project/Code/Dataset]
- D. Hu, D. Wang, X. Li, F. Nie, and Q. Wang, “Listen to the Image,” Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 7964-7973, 2019. [PDF]
- C. Wang, Y. Yuan and Q. Wang*, “Learning by Inertia: Self-Supervised Monocular Visual Odometry for Road Vehicles,” Proc. International Conference on Acoustic, Speech and Signal Processing (ICASSP)), pp. 2252-2256, 2019.[PDF]
- Y. Yuan, Z. Xiong, and Q. Wang, “ACM: Adaptive Cross-Modal Graph Convolutional Neural Networks for RGB-D Scene Recognition,” Proc. AAAI Conference on Artificial Intelligence (AAAI), pp. 9176-9184, 2019. Oral.[PDF]
- Y. Yuan, D. Wang, and Q. Wang, “Memory-Augmented Temporal Dynamic Learning for Action Recognition,” Proc. AAAI Conference on Artificial Intelligence (AAAI), pp. 9167-9175, 2019. [PDF]
- S. Liu, Q. Wang*, and X. Li, “Attention Based Network for Remote Sensing Scene Classification,” Proc. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), pp. 4740-4743, 2018. [PDF]
- Z. Xiong, Y. Yuan, and Q. Wang*, “AI-NET: Attention Inception Neural Networks for Hyperspectral Image,” Proc. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), pp. 2647-2650, 2018. [PDF]
- Z. Yuan, Q. Wang*, and X. Li, “Robust PCANet for Hyperspectral Image Change Detection,” Proc. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), pp. 4931-4934, 2018. [PDF]
- F. Zhang, Q. Wang*, and X. Li, “Optimal Neighboring Reconstruction for Hyperspectral Band Selection,” Proc. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), pp. 4709-4712, 2018. [PDF]
- X. He, Q. Wang*, and X. Li, “Spectral-spatial Hyperspectral Image Classification via Locality and Structure Constrained Low-rank Representation,” Proc. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), pp. 5744-5747, 2018. Oral [PDF]
- X. Jiang, L. Zhang, F. Zhang, J. Liu, and Q. Wang*, “Selecting Band Subsets from Hyperspectral Image through a Novel Evolutionary-based Strategy,” Proc. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), pp. 4697-4700, 2018. [PDF]
- M. Jiang, Y. Yuan, and Q. Wang*, “Self-attention Learning for Person Re-identification,” Proc. British Machine Vision Conference (BMVC), 2018. [PDF]
- X. Zhang, Y. Yuan, and Q. Wang*, “ROI-wise Reverse Reweighting Network for Road Marking Detection,” Proc. British Machine Vision Conference (BMVC), 2018. [PDF]
- M. Chen, Q. Wang*, and X. Li, “Robust Adaptive Sparse Learning Method for Graph Clustering,” Proc. IEEE International Conference on Image Processing (ICIP), pp. 1618-1622, 2018. [PDF]
- X. Li, J. Yang, and Q. Wang*, “Nonrigid Points Alignment with Soft-weighted Selection,” Proc. International Joint Conferences on Artificial Intelligence (IJCAI), pp. 800-806, 2018. [PDF]
- Y. Lu, Y. Yuan, and Q. Wang*, “Forward Vehicle Collision Warning Based on Quick Camera Calibration,” Proc. International Conference on Acoustic, Speech and Signal Processing (ICASSP), pp. 2586-2590, 2018. [PDF]
- D. Wang, Y. Yuan, and Q. Wang*, “Cross-modal Message Passing for Two-stream Fusion,” Proc. International Conference on Acoustic, Speech and Signal Processing (ICASSP), pp. 1268-1272, 2018. [PDF]
- D. Ma, Y. Yuan, and Q. Wang*, “A Sparse Dictionary learning method for Hyperspectral Anomaly Detection with Capped Norm,” Proc. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), pp. 648-651, 2017. [PDF]
- F. Zhang, Q. Wang*, and X. Li, “Hyperspectral Image Band Selection via Global Optimal Clustering,” Proc. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), pp. 1-4, 2017. Oral [PDF]
- Q. Wang, Z. Qin, F. Nie, and Y. Yuan, “Convolutional 2D LDA for Nonlinear Dimensionality Reduction,” Proc. International Joint Conference on Artificial Intelligence (IJCAI), pp. 2929-2935, 2017. Oral [PDF]
- X. Li, M. Chen, F. Nie, and Q. Wang*, “Locality Adaptive Discriminant Analysis,” Proc. International Joint Conference on Artificial Intelligence (IJCAI), pp. 2201-2207, 2017. Oral [PDF]
- Y. Yuan, Z. Jiang, and Q. Wang*, “HDPA: Hierarchical Deep Probability Analysis for Scene Parsing,” Proc. IEEE International Conference on Multimedia and Expo (ICME), pp. 313-318, 2017. [PDF]
- J. Gao, Q. Wang*, and Y. Yuan, “Embedding Structured Contour and Location Prior in Siamesed Fully Convolutional Networks for Road Detection,” Proc. IEEE International Conference on Robotics and Automation (ICRA), pp. 219-224, 2017. [PDF]
- J. Zhang, Y. Yuan, F. Nie, and Q. Wang*, “Largest Center-specific Margin for Dimension Reduction,” Proc. International Conference on Acoustic, Speech and Signal Processing (ICASSP), pp. 2352-2356, 2017. Oral [PDF]
- M. Chen, Q. Wang* and X. Li, “Anchor-Based Group Detection in Crowd Scenes,” Proc. International Conference on Acoustic, Speech and Signal Processing (ICASSP), pp. 1378-1382, 2017. Oral [PDF]
- M. Jiang, Y. Yuan, and Q. Wang*, “Asymmetric Cross-View Dictionary Learning for Person Re-identification,” Proc. International Conference on Acoustic, Speech and Signal Processing (ICASSP), pp. 1228-1232, 2017. Oral [PDF]
- J. Wan, Y. Yuan, and Q. Wang*, “Traffic Congestion Analysis: A New Perspective,” Proc. International Conference on Acoustic, Speech and Signal Processing (ICASSP), pp. 1398-1402, 2017. Oral [PDF] [Dataset Link1 Link2 ]
- X. Li, M. Chen, F. Nie, and Q. Wang*, “A Multiview-based Parameter Free Framework for Group Detection,” Proc. AAAI Conference on Artificial Intelligence (AAAI), pp. 4147-4153, 2017. Oral [PDF]
- Q. Wang, M. Chen, and X. Li, “Quantifying and Detecting Collective Motion by Manifold Learning,” Proc. AAAI Conference on Artificial Intelligence (AAAI), pp. 4292-4298, 2017. Oral [PDF]
- J. Lin, Q. Wang*, and Y. Yuan, “In Defense of Iterated Conditional Mode for Hyperspectral Image Classification,” Proc. IEEE International Conference on Multimedia and Expo (ICME), pp. 1-6, 2014. [PDF]
- Q. Wang, P. Yan, Y. Yuan, and X. Li, “Robust Color Correction in Stereo Vision,” Proc. IEEE International Conference on Image Processing (ICIP), pp. 965-968, 2011. [PDF]
- Q. Wang, X. Sun, and Z. Wang, “A Robust Algorithm for Color Correction between Two Stereo Images,” Proc. Asian Conference on Computer Vision (ACCV), vol. 5996 LNCS, pp. 405-416, 2009. [PDF]
- Q. Wang and Z. Wang, “A Subjective Method for Image Segmentation Evaluation,” Proc. Asian Conference on Computer Vision (ACCV), vol. 5996 LNCS, pp. 53-64, 2009. [PDF]
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Honors and Awards
| 2020 | Clarivate Highly Cited Researcher |
| 2020 | Elsevier Highly Cited Chinese Researcher |
| 2018 | Springer conference Best Student Paper Award |
| 2017 | IEEE T-GRS Best Reviewer |
| 2014 | IEEE conference Best Paper Award |
| 2014 | IEEE conference Honorable Mention Award |
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Professional Activities
Editor Board:
Remote Sensing (MDPI), Section Editor-in-Chief
IEEE Transactions on Circuits and Systems for Video Technology (IEEE), Associate Editor
IEEE Transactions on Systems, Man, and Cybernetics: Systems (IEEE), Associate Editor
IEEE Geoscience and Remote Sensing Letters (IEEE), Associate Editor
Pattern Recognition (Elsevier), Associate Editor
Neurocomputing (Elsevier), Associate Editor
Neural Processing Letters (Springer), Associate Editor
Multimedia Tools and Applications (Springer), Editor Board Member
IET Image Processing (IET), Associate Editor
IET Computer Vision (IET), Associate Editor
IEEE Transactions on Industrial Electronics (IEEE), Guest Editor
IEEE Transactions on Intelligent Transportation Systems (IEEE), Lead Guest Editor
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (IEEE), Guest Editor
Journal of Image and Graphics (中国图象图形学报),Editorial Board Member
Membership:
BCS Fellow
IET Fellow
IEEE Senior Member
ACM Senior Member
China Computer Federation (CCF) Senior Member
China Society of Image and Graphics (CSIG) Member
Vision And Learning Seminar (VALSE) Online Director Board Member
Program Committee Member (100+ times):
NIPS, AAAI, IJCAI, CVPR, ICCV, ECCV, BMVC, ICASSP, ACM MM, ACPR...
General Chair:
• The 3rd International Electronic Conference on Remote Sensing
Organizing Committee Member:
• Annual Summit on Artificial Intelligence
Program Co-chair:
• 2015 International Conference on Progress in Informatics and Computing (PIC)
Session/Area Chair:
• 2019 AAAI Conference on Artificial Intelligence (AAAI)
• 2019 International Conference on Image and Graphics (ICIG)
• 2017 AAAI Conference on Artificial Intelligence (AAAI)
• 2017 International Joint Conference on Artificial Intelligence (IJCAI)
Regular Reviewer (40+ journals):
IJCV, T-PAMI, IEEE T-IP, IEEE T-NNLS, IEEE T-CSVT, IEEE T-CYB, IEEE T-MM, IEEE T-MI, IEEE T-HMS, IEEE T-SMC:S, IEEE T-GRS, IEEE T-STSP, IEEE JSTARS, IEEE T-ITS, PR, CVIU...
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Grants (20+)
• National Key R&D Program of China
• National Basic Research Program of China (973 Program)
• State Key Program of National Natural Science Foundation of China
• Major Research Plan of National Natural Science Foundation of China
• National Natural Science Foundation of China
• China Postdoctoral Science Foundation
• Natural Science Foundation Research Project of Shaanxi Province
• Open Research Fund of Chinese Academy of Sciences
Projects
My research projects mainly concentrate on three aspects.
| 1. | Vision functions for driver assistance systems and autonomous driving systems. Typical examples include: Lane Departure Warning, Traffic Sign Recognition, Pedestrian Collision Warning, Traffic Light Recognition, Driver Behavior Analysis, and Road Marking Detection and Recognition. |
• Intelligent Driving Systems [Demo Link1 Link2 ]
| 2. | Video surveillance, particularly for security and Intelligent Transportation Systems. Exemplar applications include: Crowd Analysis, Abnormal Detection, Target Tracking/Detection, Action Recognition, Saliency Detection/Image Resizing, Scene Understanding, etc. |
• Crowd Analysis/Abnormal Detection
• Traffic Congestion Calculation
• High Quality Video Resizing
• Licence Plate Recognition
• Scene Understanding
• Unconstrained Identity Verification
| 3. | Image processing, particularly for low level task. Typical examples include: image color correction, image super-resolution, image deblur, etc. |
• Color Correction for Stereo Images
• Image Super-Resolution
• Image Deblur
| 4. | Remote Sensing image analysis, especially for hyperspectral, multispectral and multimodal images. Research towards this direction includes image classification/segmentation/fusion, target detection, abnormal detection, band selection, etc. |
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Graduates
![]() Jianwu Fang, Ph.D Chang'an University, Associate Professor (长安大学) |
![]() Jianan Zhang, Ph.D Hisense (海信) ![]() Mulin Chen, Ph.D XIDIAN University, Post Doctor (西安电子科技大学) ![]() Dong Wang, Ph.D Oregon State University, Post Doctor (俄勒冈州立大学) | ||
![]() Junyu Gao, Ph.D XIDIAN University, Post Doctor (西安电子科技大学) |
![]() Zhitong Xiong, Ph.D Technische Universität München, Post Doctor (慕尼黑工业大学) | ||
![]() Jianzhe Lin, Master University of British Columbia (英属哥伦比亚大学) |
![]() Jia Wan, Master City University of Hong Kong (香港城市大学) |
![]() Zequn Qin, Master Zhejiang University (浙江大学) |
![]() Zhaotie Meng, Master HIKVISION DIGITAL TECHNOLOGY (海康威视) |
![]() Xingyu Zhang, Master Longfor Group (北京龙湖集团) |
![]() Chunbiao Song, Master Huawei Technologies (华为) |
![]() Minyue Jiang, Master Baidu (百度) |
![]() Xiaoqiang Zhang, Master Baidu (百度) |
![]() Fukui Yang, Master Baidu (百度) |
![]() Quanquan Zheng, Master ZTE (中兴) |
![]() Xiang He, Master Longfor Group (北京龙湖集团) |
![]() Shaoteng Liu, Master Tencent (腾讯) |
![]() Haopeng Li, Master The University of Melbourne (墨尔本大学) |
![]() Lulu Hua, Master Huawei Technologies (华为) |
![]() Yuanrong Guo, Master Institute of Space Electronic Technology (航天九院) |
![]() Fahong Zhang, Master Technische Universität München (慕尼黑工业大学) |
![]() Zhenghang Yuan, Master Technische Universität München (慕尼黑工业大学) |
![]() Cong Zhang, Master The Hong Kong Polytechnic University (香港理工大学) |
![]() Wei Lin, Master City University of Hong Kong (香港城市大学) |
![]() Wei Huang, Master Technische Universität München (慕尼黑工业大学) |
![]() Xueting Zhang, Master Technische Universität München (慕尼黑工业大学) |
![]() Yue Yuan, Master China Airborne Missile Academy (中国空空导弹研究院) |
![]() Nianhui Guo, Master Hasso-Plattner-Institute (哈索.普拉特纳研究院) |
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