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Kun Qin
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2020 – today
- 2024
- [j32]Weiwei Zhang, Zixi Liu, Kun Qin
, Shaoqing Dai
, Huiyuan Lu
, Miao Lu, Jianwan Ji
, Zhaohui Yang, Chao Chen, Peng Jia
:
Long-Term Dynamic Monitoring and Driving Force Analysis of Eco-Environmental Quality in China. Remote. Sens. 16(6): 1028 (2024) - [j31]Kun Qin
, Zhanpeng Wang, Shaoqing Dai
, Yuchen Li, Manyao Li, Chen Li, Ge Qiu, Yuanyuan Shi, Chun Yin
, Shujuan Yang, Peng Jia
:
Spatiotemporal Patterns of Air Pollutants over the Epidemic Course: A National Study in China. Remote. Sens. 16(7): 1298 (2024) - [j30]Chengrui Wang
, Kai Xu
, Rong Li
, Zhiyong Zhang
, Kun Qin
, Yubin Xu
:
Structures Detection Based on CLSK Model Combined With Shadow Information Using High-Resolution Remote Sensing Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 4304-4319 (2024) - [j29]Kun Chen, Pengxiang Zhao
, Kun Qin, Mei-Po Kwan, Niman Wang:
Towards healthcare access equality: Understanding spatial accessibility to healthcare services for wheelchair users. Comput. Environ. Urban Syst. 108: 102069 (2024) - [i5]Shaohua Wang, Xing Xie, Yong Li, Danhuai Guo, Zhi Cai, Yu Liu, Yang Yue, Xiao Pan, Feng Lu, Huayi Wu, Zhipeng Gui, Zhiming Ding, Bolong Zheng, Fuzheng Zhang, Tao Qin, Jingyuan Wang, Chuang Tao, Zhengchao Chen, Hao Lu, Jiayi Li, Hongyang Chen, Peng Yue, Wenhao Yu, Yao Yao, Leilei Sun, Yong Zhang, Longbiao Chen, Xiaoping Du, Xiang Li, Xueying Zhang, Kun Qin, Zhaoya Gong, Weihua Dong, Xiaofeng Meng:
Research on Foundation Model for Spatial Data Intelligence: China's 2024 White Paper on Strategic Development of Spatial Data Intelligence. CoRR abs/2405.19730 (2024) - 2023
- [j28]Jing Qin, Desheng Dash Wu, Kun Qin, Yaoxiang Nie:
Financing the retailers with default probabilities: capital constrained supplier vs. bank. Int. J. Prod. Res. 61(22): 7649-7669 (2023) - [j27]Muyang Zhan
, Chanjuan Zhao, Kun Qin, Penghui Huang
, Ming Fang, Chunlei Zhao
:
Subaperture Keystone Transform Matched Filtering Algorithm and Its Application for Air Moving Target Detection in an SBEWR System. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 2262-2274 (2023) - [c25]Xiaorang Guo
, Kun Qin, Martin Schulz
:
HiSEP-Q: A Highly Scalable and Efficient Quantum Control Processor for Superconducting Qubits. ICCD 2023: 86-93 - [i4]Xiaorang Guo, Kun Qin, Martin Schulz
:
HiSEP-Q: A Highly Scalable and Efficient Quantum Control Processor for Superconducting Qubits. CoRR abs/2308.16776 (2023) - 2022
- [j26]Gang Xu
, Wenwu Wang, Dandan Lu, Binbin Lu
, Kun Qin, Limin Jiao
:
Geographically varying relationships between population flows from Wuhan and COVID-19 cases in Chinese cities. Geo spatial Inf. Sci. 25(2): 121-131 (2022) - [j25]Qi Bi
, Beichen Zhou, Kun Qin, Qinghao Ye
, Gui-Song Xia
:
All Grains, One Scheme (AGOS): Learning Multigrain Instance Representation for Aerial Scene Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-17 (2022) - [c24]Liran Liu, Qingxiang Meng, Kun Qin, Gang Xu
:
Spatio-Temporal Variations of the COVID-19 Epidemic in Mexico. Geoinformatics 2022: 1-8 - [i3]Qi Bi, Beichen Zhou, Kun Qin, Qinghao Ye, Gui-Song Xia:
All Grains, One Scheme (AGOS): Learning Multi-grain Instance Representation for Aerial Scene Classification. CoRR abs/2205.03371 (2022) - 2021
- [j24]Qi Bi
, Han Zhang, Kun Qin:
Multi-scale stacking attention pooling for remote sensing scene classification. Neurocomputing 436: 147-161 (2021) - [j23]Xiaolan Huang
, Kai Xu
, Chuming Huang, Chengrui Wang
, Kun Qin:
Multiple Instance Learning Convolutional Neural Networks for Fine-Grained Aircraft Recognition. Remote. Sens. 13(24): 5132 (2021) - [j22]Tao Jia
, Xuesong Yu
, Xin Li, Kun Qin:
Identification and analysis of urban influential regions using spatial interaction networks. Trans. GIS 25(6): 2821-2839 (2021) - [j21]Qi Bi
, Kun Qin, Han Zhang, Gui-Song Xia
:
Local Semantic Enhanced ConvNet for Aerial Scene Recognition. IEEE Trans. Image Process. 30: 6498-6511 (2021) - [c23]Xiaochun Yang, Kun Qin, Yi Zhang:
The Design and Implementation of Code Reading and Code Quality Practice Discussion Course. SIGCSE 2021: 1255 - 2020
- [j20]Qi Bi
, Kun Qin, Han Zhang, Zhili Li, Kai Xu:
RADC-Net: A residual attention based convolution network for aerial scene classification. Neurocomputing 377: 345-359 (2020) - [j19]Qi Bi
, Kun Qin, Han Zhang, Jiafen Xie, Zhili Li
, Kai Xu
:
APDC-Net: Attention Pooling-Based Convolutional Network for Aerial Scene Classification. IEEE Geosci. Remote. Sens. Lett. 17(9): 1603-1607 (2020) - [j18]Ye Zhang
, Kun Qin, Qi Bi
, Weihong Cui, Gang Li:
Landscape Patterns and Building Functions for Urban Land-Use Classification from Remote Sensing Images at the Block Level: A Case Study of Wuchang District, Wuhan, China. Remote. Sens. 12(11): 1831 (2020) - [j17]Kun Qin, Yuanquan Xu, Chaogui Kang
, Mei-Po Kwan
:
A graph convolutional network model for evaluating potential congestion spots based on local urban built environments. Trans. GIS 24(5): 1382-1401 (2020) - [j16]Zhili Li
, Kai Xu
, Jiafen Xie, Qi Bi
, Kun Qin:
Deep Multiple Instance Convolutional Neural Networks for Learning Robust Scene Representations. IEEE Trans. Geosci. Remote. Sens. 58(5): 3685-3702 (2020) - [j15]Qi Bi
, Kun Qin, Zhili Li
, Han Zhang, Kai Xu
, Gui-Song Xia
:
A Multiple-Instance Densely-Connected ConvNet for Aerial Scene Classification. IEEE Trans. Image Process. 29: 4911-4926 (2020)
2010 – 2019
- 2019
- [j14]Kun Qin, Yuanquan Xu, Chaogui Kang
, Stanislav Sobolevsky, Mei-Po Kwan
:
Modeling Spatio-Temporal Evolution of Urban Crowd Flows. ISPRS Int. J. Geo Inf. 8(12): 570 (2019) - [j13]Fan Song, Yanling Wang, Lei Zhao, Kun Qin, Likai Liang, Zhijun Yin, Weihua Tao:
Study on Thermal Load Capacity of Transmission Line Based on IEEE Standard. J. Inf. Process. Syst. 15(3): 464-477 (2019) - [j12]Qi Bi
, Kun Qin, Han Zhang, Ye Zhang, Zhili Li, Kai Xu:
A Multi-Scale Filtering Building Index for Building Extraction in Very High-Resolution Satellite Imagery. Remote. Sens. 11(5): 482 (2019) - [c22]Qi Bi
, Kun Qin, Zhili Li, Han Zhang, Kai Xu:
Multiple Instance Dense Connected Convolution Neural Network for Aerial Image Scene Classification. ICIP 2019: 2501-2505 - [c21]Jiafen Xie, Kai Xu, Zhili Li, Qi Bi
, Kun Qin:
Building Scene Recognition Based on Deep Multiple Instance Learning Convolutional Neural Network Using High Resolution Remote Sensing Image. VSIP 2019: 60-63 - [i2]Qi Bi, Kun Qin, Zhili Li, Han Zhang, Kai Xu:
Multiple instance dense connected convolution neural network for aerial image scene classification. CoRR abs/1908.08156 (2019) - [i1]Qi Bi, Kun Qin, Han Zhang, Wenjun Han, Zhili Li, Kai Xu:
Building change detection based on multi-scale filtering and grid partition. CoRR abs/1908.08164 (2019) - 2018
- [j11]Yulong Wang
, Kun Qin, Yixiang Chen
, Pengxiang Zhao
:
Detecting Anomalous Trajectories and Behavior Patterns Using Hierarchical Clustering from Taxi GPS Data. ISPRS Int. J. Geo Inf. 7(1): 25 (2018) - [j10]Kun Qin, Yulong Wang
, Bijun Wang:
Detecting Anomalous Trajectories Using the Dempster-Shafer Evidence Theory Considering Trajectory Features from Taxi GNSS Data. Inf. 9(10): 258 (2018) - [j9]Mengxue Yue, Chaogui Kang
, Clio Andris, Kun Qin, Yu Liu, Qingxiang Meng:
Understanding the interplay between bus, metro, and cab ridership dynamics in Shenzhen, China. Trans. GIS 22(3): 855-871 (2018) - [c20]Kun Qin, Lei Sun, Bo Liu, Yuan Fan, Kar-Ann Toh:
A Robust Change-Point Detection Method by Eliminating Sparse Noises from Time Series. DSC 2018: 146-152 - [c19]Dongwan Fan, Kun Qin, Chaogui Kang:
Understanding Urban Functionality from POI Space. Geoinformatics 2018: 1-6 - [c18]Bijun Wang, Yulong Wang, Kun Qin, Qizhi Xia:
Detecting Transportation Modes Based on LightGBM Classifier from GPS Trajectory Data. Geoinformatics 2018: 1-7 - [c17]Wenting Xu, Kun Qin, Yulong Wang:
Congestion Detection and Distribution Pattern Analysis Based on Spatiotemporal Density Clustering. Geoinformatics 2018: 1-7 - [c16]Yi Zhang, Ying Zhou, Kun Qin:
Micro-Project Based Curriculum Design and Teaching Practice for Modern Engineering Education in China. TALE 2018: 778-782 - 2017
- [j8]Pengxiang Zhao
, Kun Qin, Xinyue Ye
, Yulong Wang, Yixiang Chen
:
A trajectory clustering approach based on decision graph and data field for detecting hotspots. Int. J. Geogr. Inf. Sci. 31(6): 1101-1127 (2017) - [c15]Yi Zhang, Kun Qin, Anling Liu:
Outcome based evaluation of curriculum goals completion for engineering education. TALE 2017: 39-43 - 2016
- [j7]Chaogui Kang
, Kun Qin:
Understanding operation behaviors of taxicabs in cities by matrix factorization. Comput. Environ. Urban Syst. 60: 79-88 (2016) - [c14]Yixiang Chen
, Kun Qin, Houjun Jiang, Tao Wu, Ye Zhang:
Built-up area extraction using data field from high-resolution satellite images. IGARSS 2016: 437-440 - 2015
- [j6]Tao Wu, Jin Xiao, Kun Qin, Yixiang Chen:
Cloud model-based method for range-constrained thresholding. Comput. Electr. Eng. 42: 33-48 (2015) - [c13]Sheeg Wu, Min Zhang, Qiaojia Huang, Yannan Zhang, Cheng Wan, Kaixuan Zhang, Jun Cao, Zhipeng Gui
, Kun Qin:
Design a web portal for visualizing and exploring service quality of global OGC Web Map Services. Geoinformatics 2015: 1-5 - [c12]Chengkun Liu, Kun Qin, Chaogui Kang
:
Exploring time-dependent traffic congestion patterns from taxi trajectory data. ICSDM 2015: 39-44 - 2014
- [j5]Yixiang Chen
, Kun Qin, Shunzi Gan, Tao Wu:
Structural Feature Modeling of High-Resolution Remote Sensing Images Using Directional Spatial Correlation. IEEE Geosci. Remote. Sens. Lett. 11(10): 1727-1731 (2014) - 2012
- [j4]Tao Wu, Kun Qin:
Image data field for homogeneous region based segmentation. Comput. Electr. Eng. 38(2): 459-470 (2012) - [j3]Tao Wu, Kun Qin:
Data field-based mechanism for three-dimensional thresholding. Neurocomputing 97: 278-296 (2012) - 2011
- [j2]Kun Qin, Kai Xu, Feilong Liu, Deyi Li:
Image segmentation based on histogram analysis utilizing the cloud model. Comput. Math. Appl. 62(7): 2824-2833 (2011) - [c11]Junhuan Peng, Kun Qin, Honglei Yang, Lei Cheng:
The study on the exploratory spatial data mining method based on partial random walk and its application in GPS TEC analysis. ICSDM 2011: 112-115 - 2010
- [j1]Tao Wu, Kun Qin:
Comparative Study of Image Thresholding Using Type-2 Fuzzy Sets and Cloud Model. Int. J. Comput. Intell. Syst. 3(sup01): 61-73 (2010) - [c10]Kun Qin, Kai Xu, Yi Du, Deyi Li:
An image segmentation approach based on histogram analysis utilizing cloud model. FSKD 2010: 524-528 - [c9]Kun Qin, Lingqiao Kong, Yao Liu, Qizhi Xiao:
Sea surface temperature clustering based on type-2 fuzzy theory. Geoinformatics 2010: 1-5 - [c8]Kun Qin, Mengran Wu, Lingqiao Kong, Yao Liu:
Spatio-temporal data clustering based on type-2 fuzzy sets and cloud models. IGARSS 2010: 237-240 - [c7]Kun Qin, Deyi Li, Tao Wu, Yuchao Liu, Guisheng Chen, Baohua Cao:
Comparative Study of Type-2 Fuzzy Sets and Cloud Model. RSKT 2010: 604-611 - [c6]Baohua Cao, Deyi Li, Kun Qin, Guisheng Chen, Yuchao Liu, Peng Han:
An Uncertain Control Framework of Cloud Model. RSKT 2010: 618-625
2000 – 2009
- 2009
- [c5]Xuehua Tang, Lingkui Meng, Kun Qin:
A Coordinate-Based Quantitative Directional Relations Model. ISCID (1) 2009: 483-488 - [c4]Tao Wu, Kun Qin:
Inducing Uncertain Decision Tree via Cloud Model. SKG 2009: 85-91 - 2008
- [c3]Kun Qin, Tiejun Lu, Du Xiao, Zongmin Wang, Binming Luo:
A multistage interpolation design of an audio DAC. ICAIT 2008: 92:1-92:5 - 2007
- [c2]Qizhi Xiao, Kun Qin, Zequn Guan, Tao Wu:
Image mining for robot vision based on concept analysis. ROBIO 2007: 207-212 - 2005
- [c1]Yugang Tian, Peijun Shi
, Xinzhou Wang, Kun Qin:
A New Method for Linear Ill-Posed Problems: Iteration Method by Rectifying Eigenvalue. ADMA 2005: 331-338
Coauthor Index
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last updated on 2024-08-08 20:13 CEST by the dblp team
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