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ORCIDYong Ge
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j130]Die Zhang
, Yong Ge, Jianghao Wang, Haiyan Liu, Wen-Bin Zhang, Xilin Wu, Gerard B. M. Heuvelink, Chaoyang Wu, Juan Yang, Nick W. Ruktanonchai, Sarchil H. Qader, Corrine W. Ruktanonchai, Eimear Cleary, Yongcheng Yao, Jian Liu, Chibuzor C. Nnanatu, Amy Wesolowski, Derek A. T. Cummings, Andrew J. Tatem, Shengjie Lai:
Optimizing the detection of emerging infections using mobility-based spatial sampling. Int. J. Appl. Earth Obs. Geoinformation 131: 103949 (2024)- [j129]Gang Yang, Chunchen Shao, Yangyan Zuo, Weiwei Sun, Ke Huang, Lihua Wang, Binjie Chen, Xiangchao Meng, Yong Ge:
MFI: A mudflat index based on hyperspectral satellite images for mapping coastal mudflats. Int. J. Appl. Earth Obs. Geoinformation 133: 104140 (2024) - [j128]Jifa Chen, Gang Chen, Li Zhang, Min Huang, Jin Luo, Mingjun Ding, Yong Ge:
Category-sensitive semi-supervised semantic segmentation framework for land-use/land-cover mapping with optical remote sensing images. Int. J. Appl. Earth Obs. Geoinformation 134: 104160 (2024) - [j127]Hexiang Bai, Junhao Jing, Deyu Li, Yong Ge:
A fuzzy rough sets-based data-driven approach for quantifying local and overall fuzzy relations between variables for spatial data. Appl. Soft Comput. 162: 111848 (2024) - [j126]Chenwang Wu, Defu Lian, Yong Ge, Min Zhou, Enhong Chen, Dacheng Tao:
Boosting Factorization Machines via Saliency-Guided Mixup. IEEE Trans. Pattern Anal. Mach. Intell. 46(6): 4443-4459 (2024) - [j125]Yan Jin, Yong Ge, Haoyu Fan, Zeshuo Li, Yan Jia, Yaojie Liu, Hongyan Liu:
Downscaling Solar-Induced Chlorophyll Fluorescence to a 0.05° Monthly Product Using AVHRR Data in East Asia (1995-2003). IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 6379-6393 (2024) - [j124]Guihou Sun, Yuehong Chen, Jiamei Huang, Qiang Ma, Yong Ge:
Digital Surface Model Super-Resolution by Integrating High-Resolution Remote Sensing Imagery Using Generative Adversarial Networks. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 10636-10647 (2024) - [j123]Chenwang Wu, Defu Lian, Yong Ge, Min Zhou, Enhong Chen:
Attacking Social Media via Behavior Poisoning. ACM Trans. Knowl. Discov. Data 18(7): 169 (2024) - [j122]Tianyang Xie, Yong Ge:
Enhance Knowledge Graph Embedding by Mixup. IEEE Trans. Knowl. Data Eng. 36(2): 569-580 (2024) - [c113]Yong Ge, John Zhang:
Introduction to the Minitrack on Economic and Societal Impacts of Technology, Data, and Algorithms. HICSS 2024: 4321-4322 - [c112]Shengming Zhang, Hao Zhong, Yong Ge, Hui Xiong:
Bring Me a Good One: Seeking High-potential Startups using Heterogeneous Venture Information Networks. HICSS 2024: 4323-4332 - [c111]Hengshu Zhu, Yong Ge, Hui Xiong, Ee-Peng Lim:
The 5th International Workshop on Talent and Management Computing (TMC'2024). KDD 2024: 6759-6760 - 2023
- [j121]Peng Gao, Tianjun Wu, Yong Ge, Gang Yang, Yuefeng Lu:
Correcting the nighttime lighting data underestimation effect based on light source detection and luminance reconstruction. Int. J. Appl. Earth Obs. Geoinformation 121: 103380 (2023) - [j120]Yong Cheng, Wei Wang, Zhoupeng Ren, Yingfen Zhao, Yilan Liao, Yong Ge, Jun Wang, Jiaxin He, Yakang Gu, Yixuan Wang, Wenjie Zhang, Ce Zhang:
Multi-scale Feature Fusion and Transformer Network for urban green space segmentation from high-resolution remote sensing images. Int. J. Appl. Earth Obs. Geoinformation 124: 103514 (2023) - [j119]Die Zhang, Yong Ge, Xilin Wu, Haiyan Liu, Wen-Bin Zhang, Shengjie Lai:
Data-Driven Models Informed by Spatiotemporal Mobility Patterns for Understanding Infectious Disease Dynamics. ISPRS Int. J. Geo Inf. 12(7): 266 (2023) - [j118]Yan Jin, Yong Ge, Haoyu Fan, Zeshuo Li, Yaojie Liu, Yan Jia:
Mapping Gross Domestic Product Distribution at 1 km Resolution across Thailand Using the Random Forest Area-to-Area Regression Kriging Model. ISPRS Int. J. Geo Inf. 12(12): 481 (2023) - [j117]Mengxiao Liu, Yong Ge, Shan Hu, Haiguang Hao:
The Spatial Effects of Regional Poverty: Spatial Dependence, Spatial Heterogeneity and Scale Effects. ISPRS Int. J. Geo Inf. 12(12): 501 (2023) - [j116]Chenwang Wu, Defu Lian, Yong Ge, Zhihao Zhu, Enhong Chen:
Influence-Driven Data Poisoning for Robust Recommender Systems. IEEE Trans. Pattern Anal. Mach. Intell. 45(10): 11915-11931 (2023) - [j115]Yuanxin Jia, Xining Zhang, Ru Xiang, Yong Ge:
Super-Resolution Rural Road Extraction from Sentinel-2 Imagery Using a Spatial Relationship-Informed Network. Remote. Sens. 15(17): 4193 (2023) - [j114]Wei Fan, Kunpeng Liu, Hao Liu, Yong Ge, Hui Xiong, Yanjie Fu:
Interactive Reinforcement Learning for Feature Selection With Decision Tree in the Loop. IEEE Trans. Knowl. Data Eng. 35(2): 1624-1636 (2023) - [j113]Defu Lian, Zhihao Zhu, Kai Zheng, Yong Ge, Xing Xie, Enhong Chen:
Network Representation Lightening From Hashing to Quantization. IEEE Trans. Knowl. Data Eng. 35(5): 5119-5131 (2023) - [j112]Hao Liu, Yong Ge:
Job and Employee Embeddings: A Joint Deep Learning Approach. IEEE Trans. Knowl. Data Eng. 35(7): 7056-7067 (2023) - [c110]Yong Ge, Guangyi Zhao, Zhihong Wang:
Tool Condition Monitoring and Maintenance Based on Deep Reinforcement Learning. ADHIP (1) 2023: 16-28 - [c109]Yong Ge, Yechao Shen, Zhihong Wang:
Research on Control of Virtual and Real Drive System of Intelligent Factory Robot Based on Digital Twin. ADHIP (1) 2023: 29-45 - [c108]John Zhang, Yong Ge:
Introduction to the Minitrack on Economic and Societal Impacts of Technology, Data, and Algorithms. HICSS 2023: 3745-3746 - [c107]Shengming Zhang, Hao Zhong, Yong Ge, Hui Xiong:
Bring Me a Good One: Seeking High-potential Startups using Heterogeneous Venture Information Networks. ICIS 2023 - [c106]Wuchao Li, Chao Feng, Defu Lian, Yuxin Xie, Haifeng Liu, Yong Ge, Enhong Chen:
Learning Balanced Tree Indexes for Large-Scale Vector Retrieval. KDD 2023: 1353-1362 - [c105]Hengshu Zhu, Hui Xiong, Yong Ge, Ee-Peng Lim:
The 4th International Workshop on Talent and Management Computing (TMC'2023). KDD 2023: 5909-5910 - [c104]Zepu Lu, Jin Chen, Defu Lian, Zaixi Zhang, Yong Ge, Enhong Chen:
Knowledge Distillation for High Dimensional Search Index. NeurIPS 2023 - 2022
- [j111]Yong Ge, Wen-Bin Zhang, Haiyan Liu, Corrine W. Ruktanonchai, Maogui Hu, Xilin Wu, Yongze Song, Nick W. Ruktanonchai, Wei Yan, Eimear Cleary, Luzhao Feng, Zhongjie Li, Weizhong Yang, Mengxiao Liu, Andrew J. Tatem, Jin-Feng Wang, Shengjie Lai:
Impacts of worldwide individual non-pharmaceutical interventions on COVID-19 transmission across waves and space. Int. J. Appl. Earth Obs. Geoinformation 106: 102649 (2022) - [j110]Shan Hu, Yong Ge, Mengxiao Liu, Zhoupeng Ren, Xining Zhang:
Village-level poverty identification using machine learning, high-resolution images, and geospatial data. Int. J. Appl. Earth Obs. Geoinformation 107: 102694 (2022) - [j109]Zhifeng Cheng, Jianghao Wang, Yong Ge:
Mapping monthly population distribution and variation at 1-km resolution across China. Int. J. Geogr. Inf. Sci. 36(6): 1166-1184 (2022) - [j108]Hexiang Bai, Deyu Li, Yong Ge, Jinfeng Wang, Feng Cao:
Spatial rough set-based geographical detectors for nominal target variables. Inf. Sci. 586: 525-539 (2022) - [j107]Yan Jin, Xudong Guan, Yong Ge, Yan Jia, Wenmei Li:
Improved Spatiotemporal Information Fusion Approach Based on Bayesian Decision Theory for Land Cover Classification. Remote. Sens. 14(23): 6003 (2022) - [j106]Yuehong Chen, Guohao Wu, Yong Ge, Zekun Xu:
Mapping Gridded Gross Domestic Product Distribution of China Using Deep Learning With Multiple Geospatial Big Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 1791-1802 (2022) - [j105]Yuehong Chen, Kaixin Shi, Yong Ge, Yanan Zhou:
Spatiotemporal Remote Sensing Image Fusion Using Multiscale Two-Stream Convolutional Neural Networks. IEEE Trans. Geosci. Remote. Sens. 60: 1-12 (2022) - [j104]Chengyuan Zhang, Qunming Wang, Ping Lu, Yong Ge, Peter M. Atkinson:
Fast and Slow Changes Constrained Spatio-Temporal Subpixel Mapping. IEEE Trans. Geosci. Remote. Sens. 60: 1-16 (2022) - [j103]Weichao Liang, Zhiang Wu, Zhe Li, Yong Ge:
CrimeTensor: Fine-Scale Crime Prediction via Tensor Learning with Spatiotemporal Consistency. ACM Trans. Intell. Syst. Technol. 13(2): 33:1-33:24 (2022) - [j102]Le Wu, Junwei Li, Peijie Sun, Richang Hong, Yong Ge, Meng Wang:
DiffNet++: A Neural Influence and Interest Diffusion Network for Social Recommendation. IEEE Trans. Knowl. Data Eng. 34(10): 4753-4766 (2022) - [c103]Weijia Zhang, Hao Liu, Jindong Han, Yong Ge, Hui Xiong:
Multi-Agent Graph Convolutional Reinforcement Learning for Dynamic Electric Vehicle Charging Pricing. KDD 2022: 2471-2481 - [c102]Chuang Zhao, Hongke Zhao, Yong Ge, Runze Wu, Xudong Shen:
Winning Tracker: A New Model for Real-time Winning Prediction in MOBA Games. WWW 2022: 3387-3395 - [i15]Chenwang Wu, Defu Lian, Yong Ge, Min Zhou, Enhong Chen, Dacheng Tao:
Boosting Factorization Machines via Saliency-Guided Mixup. CoRR abs/2206.08661 (2022) - 2021
- [j101]Xinyan Li, Feng Ling, Xiaobin Cai, Yong Ge, Xiaodong Li, Zhixiang Yin, Cheng Shang, Xiaofeng Jia, Yun Du:
Mapping water bodies under cloud cover using remotely sensed optical images and a spatiotemporal dependence model. Int. J. Appl. Earth Obs. Geoinformation 103: 102470 (2021) - [j100]Sangeeta Sarmah, Mrinal Singha, Jinsong Wang, Jinwei Dong, Pramit Kumar Deb Burman, Santonu Goswami, Yong Ge, Sana Ilyas, Shuli Niu:
Mismatches between vegetation greening and primary productivity trends in South Asia - A satellite evidence. Int. J. Appl. Earth Obs. Geoinformation 104: 102561 (2021) - [j99]Bozhao Li, Zhongliang Cai, Mengjun Kang, Shiliang Su, Shanshan Zhang, Lili Jiang, Yong Ge:
A trajectory restoration algorithm for low-sampling-rate floating car data and complex urban road networks. Int. J. Geogr. Inf. Sci. 35(4): 717-740 (2021) - [j98]Wenbin Zhang, Yong Ge, Yee Leung, Yu Zhou:
A georeferenced graph model for geospatial data matching by optimising measures of similarity across multiple scales. Int. J. Geogr. Inf. Sci. 35(11): 2339-2355 (2021) - [j97]Yong Ge, Zhoupeng Ren, Yangyang Fu:
Understanding the Relationship between Dominant Geo-Environmental Factors and Rural Poverty in Guizhou, China. ISPRS Int. J. Geo Inf. 10(5): 270 (2021) - [j96]Zhepeng (Lionel) Li, Yong Ge, Xue Bai:
What Will Be Popular Next? Predicting Hotspots in Two-Mode Social Networks. MIS Q. 45(2) (2021) - [j95]Yuefeng Lu, Cong Liu, Yong Ge, Yulong Hu, Qiao Wen, Zhongliang Fu, Shaobo Wang, Yong Liu:
Spatiotemporal Characteristics of Freeze-Thawing Erosion in the Source Regions of the Chin-Sha, Ya-Lung and Lantsang Rivers on the Basis of GIS. Remote. Sens. 13(2): 309 (2021) - [j94]Yan Jin, Yong Ge, Yaojie Liu, Yuehong Chen, Haitao Zhang, Gerard B. M. Heuvelink:
A Machine Learning-Based Geostatistical Downscaling Method for Coarse-Resolution Soil Moisture Products. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 1025-1037 (2021) - [j93]Xining Zhang, Yong Ge, Feng Ling, Jin Chen, Yuehong Chen, Yuanxin Jia:
Graph Convolutional Networks-Based Super-Resolution Land Cover Mapping. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 7667-7681 (2021) - [j92]Die Zhang, Yong Ge, Alfred Stein, Wen-Bin Zhang:
Ranking of VGI contributor reputation using an evaluation-based weighted pagerank. Trans. GIS 25(3): 1439-1459 (2021) - [j91]Yihang Zhang, Peter M. Atkinson, Feng Ling, Giles M. Foody, Qunming Wang, Yong Ge, Xiaodong Li, Yun Du:
Object-Based Area-to-Point Regression Kriging for Pansharpening. IEEE Trans. Geosci. Remote. Sens. 59(10): 8599-8614 (2021) - [j90]Yong Ge, Zijun Yao, Huayu Li:
Computing Co-Location Patterns in Spatial Data with Extended Objects: A Scalable Buffer-Based Approach. IEEE Trans. Knowl. Data Eng. 33(2): 401-414 (2021) - [j89]Yong Ge, Huayu Li, Alexander Tuzhilin:
Route Recommendations for Intelligent Transportation Services. IEEE Trans. Knowl. Data Eng. 33(3): 1169-1182 (2021) - [j88]Lianfa Li, Ying Fang, Jun Wu, Jinfeng Wang, Yong Ge:
Encoder-Decoder Full Residual Deep Networks for Robust Regression and Spatiotemporal Estimation. IEEE Trans. Neural Networks Learn. Syst. 32(9): 4217-4230 (2021) - [j87]Le Wu, Peijie Sun, Richang Hong, Yong Ge, Meng Wang:
Collaborative Neural Social Recommendation. IEEE Trans. Syst. Man Cybern. Syst. 51(1): 464-476 (2021) - [j86]Richang Hong, Yuan He, Le Wu, Yong Ge, Xindong Wu:
Deep Attributed Network Embedding by Preserving Structure and Attribute Information. IEEE Trans. Syst. Man Cybern. Syst. 51(3): 1434-1445 (2021) - [c101]Dan Lu, Le Wu, Rui Chen, Qilong Han, Yichen Wang, Yong Ge:
Modeling Dynamic Spatial Influence for Air Quality Prediction with Atmospheric Prior. APWeb/WAIM (2) 2021: 384-398 - [c100]Qi Liu, Jin Zhang, Defu Lian, Yong Ge, Jianhui Ma, Enhong Chen:
Online Additive Quantization. KDD 2021: 1098-1108 - [c99]Chenwang Wu, Defu Lian, Yong Ge, Zhihao Zhu, Enhong Chen:
Triple Adversarial Learning for Influence based Poisoning Attack in Recommender Systems. KDD 2021: 1830-1840 - [c98]Chenwang Wu, Defu Lian, Yong Ge, Zhihao Zhu, Enhong Chen, Senchao Yuan:
Fight Fire with Fire: Towards Robust Recommender Systems via Adversarial Poisoning Training. SIGIR 2021: 1074-1083 - 2020
- [j85]Ming He, Hao Guo, Guangyi Lv, Le Wu, Yong Ge, Enhong Chen, Haiping Ma:
Leveraging proficiency and preference for online Karaoke recommendation. Frontiers Comput. Sci. 14(2): 273-290 (2020) - [j84]Hexiang Bai, Feng Cao, Peter M. Atkinson, Qian Chen, Jinfeng Wang, Yong Ge:
Incorporating spatial association into statistical classifiers: local pattern-based prior tuning. Int. J. Geogr. Inf. Sci. 34(10): 2077-2114 (2020) - [j83]Biswajit Nath, Zhihua Wang, Yong Ge, Kamrul Islam, Ramesh P. Singh, Zheng Niu:
Land Use and Land Cover Change Modeling and Future Potential Landscape Risk Assessment Using Markov-CA Model and Analytical Hierarchy Process. ISPRS Int. J. Geo Inf. 9(2): 134 (2020) - [j82]Peiqin Zhang, Yong Ge, Hsun-Ming Lee:
E-WOM's Impact on App Development. J. Comput. Inf. Syst. 60(5): 418-427 (2020) - [j81]Xi Liu, Muhe Xie, Xidao Wen, Rui Chen, Yong Ge, Nick Duffield, Na Wang:
Micro- and macro-level churn analysis of large-scale mobile games. Knowl. Inf. Syst. 62(4): 1465-1496 (2020) - [j80]Lei Chen, Zhiang Wu, Jie Cao, Guixiang Zhu, Yong Ge:
Travel Recommendation via Fusing Multi-Auxiliary Information into Matrix Factorization. ACM Trans. Intell. Syst. Technol. 11(2): 22:1-22:24 (2020) - [j79]Junwei Li, Le Wu, Richang Hong, Kun Zhang, Yong Ge, Yan Li:
A Joint Neural Model for User Behavior Prediction on Social Networking Platforms. ACM Trans. Intell. Syst. Technol. 11(6): 72:1-72:25 (2020) - [j78]Keli Xiao, Zeyang Ye, Lihao Zhang, Wenjun Zhou, Yong Ge, Yuefan Deng:
Multi-User Mobile Sequential Recommendation for Route Optimization. ACM Trans. Knowl. Discov. Data 14(5): 52:1-52:28 (2020) - [j77]Hongke Zhao, Binbin Jin, Qi Liu, Yong Ge, Enhong Chen, Xi Zhang, Tong Xu:
Voice of Charity: Prospecting the Donation Recurrence & Donor Retention in Crowdfunding. IEEE Trans. Knowl. Data Eng. 32(8): 1652-1665 (2020) - [j76]Zhiang Wu, Changsheng Li, Jie Cao, Yong Ge:
On Scalability of Association-rule-based Recommendation: A Unified Distributed-computing Framework. ACM Trans. Web 14(3): 13:1-13:21 (2020) - [c97]Ninghao Liu, Yong Ge, Li Li, Xia Hu, Rui Chen, Soo-Hyun Choi:
Explainable Recommender Systems via Resolving Learning Representations. CIKM 2020: 895-904 - [c96]Wei Fan, Kunpeng Liu, Hao Liu, Pengyang Wang, Yong Ge, Yanjie Fu:
AutoFS: Automated Feature Selection via Diversity-aware Interactive Reinforcement Learning. ICDM 2020: 1008-1013 - [c95]Defu Lian, Yongji Wu, Yong Ge, Xing Xie, Enhong Chen:
Geography-Aware Sequential Location Recommendation. KDD 2020: 2009-2019 - [i14]Xi Liu, Li Li, Ping-Chun Hsieh, Muhe Xie, Yong Ge, Rui Chen:
Developing Multi-Task Recommendations with Long-Term Rewards via Policy Distilled Reinforcement Learning. CoRR abs/2001.09595 (2020) - [i13]Le Wu, Junwei Li, Peijie Sun, Richang Hong, Yong Ge, Meng Wang:
DiffNet++: A Neural Influence and Interest Diffusion Network for Social Recommendation. CoRR abs/2002.00844 (2020) - [i12]Ninghao Liu, Yong Ge, Li Li, Xia Hu, Rui Chen, Soo-Hyun Choi:
Explainable Recommender Systems via Resolving Learning Representations. CoRR abs/2008.09316 (2020) - [i11]Wei Fan, Kunpeng Liu, Hao Liu, Pengyang Wang, Yong Ge, Yanjie Fu:
AutoFS: Automated Feature Selection via Diversity-aware Interactive Reinforcement Learning. CoRR abs/2008.12001 (2020) - [i10]Wei Fan, Kunpeng Liu, Hao Liu, Yong Ge, Hui Xiong, Yanjie Fu:
Interactive Reinforcement Learning for Feature Selection with Decision Tree in the Loop. CoRR abs/2010.02506 (2020) - [i9]Yanan Wang, Yong Ge, Li Li, Rui Chen, Tong Xu:
Offline Meta-level Model-based Reinforcement Learning Approach for Cold-Start Recommendation. CoRR abs/2012.02476 (2020)
2010 – 2019
- 2019
- [j75]Yuehong Chen, Ruojing Zhang, Yong Ge, Yan Jin, Zelong Xia:
Downscaling Census Data for Gridded Population Mapping With Geographically Weighted Area-to-Point Regression Kriging. IEEE Access 7: 149132-149141 (2019) - [j74]Hexiang Bai, Deyu Li, Yong Ge, Jinfeng Wang:
A spatial heterogeneity-based rough set extension for spatial data. Int. J. Geogr. Inf. Sci. 33(2): 240-268 (2019) - [j73]Yuanxin Jia, Yong Ge, Yuehong Chen, Sanping Li, Gerard B. M. Heuvelink, Feng Ling:
Super-Resolution Land Cover Mapping Based on the Convolutional Neural Network. Remote. Sens. 11(15): 1815 (2019) - [j72]Xiaodong Li, Feng Ling, Giles M. Foody, Yong Ge, Yihang Zhang, Lihui Wang, Lingfei Shi, Xinyan Li, Yun Du:
Spatial-Temporal Super-Resolution Land Cover Mapping With a Local Spatial-Temporal Dependence Model. IEEE Trans. Geosci. Remote. Sens. 57(7): 4951-4966 (2019) - [j71]Zeyang Ye, Keli Xiao, Yong Ge, Yuefan Deng:
Applying Simulated Annealing and Parallel Computing to the Mobile Sequential Recommendation. IEEE Trans. Knowl. Data Eng. 31(2): 243-256 (2019) - [j70]Yanjie Fu, Guannan Liu, Yong Ge, Pengyang Wang, Hengshu Zhu, Chunxiao Li, Hui Xiong:
Representing Urban Forms: A Collective Learning Model with Heterogeneous Human Mobility Data. IEEE Trans. Knowl. Data Eng. 31(3): 535-548 (2019) - [c94]Binbin Jin, Hongke Zhao, Enhong Chen, Qi Liu, Yong Ge:
Estimating the Days to Success of Campaigns in Crowdfunding: A Deep Survival Perspective. AAAI 2019: 4023-4030 - [c93]Xianshan Qu, Li Li, Xi Liu, Rui Chen, Yong Ge, Soo-Hyun Choi:
A Dynamic Neural Network Model for Click-Through Rate Prediction in Real-Time Bidding. IEEE BigData 2019: 1887-1896 - [c92]Le Wu, Lei Chen, Yonghui Yang, Richang Hong, Yong Ge, Xing Xie, Meng Wang:
Personalized Multimedia Item and Key Frame Recommendation. IJCAI 2019: 1431-1437 - [c91]Haoyu Wang, Defu Lian, Yong Ge:
Binarized Collaborative Filtering with Distilling Graph Convolutional Network. IJCAI 2019: 4802-4808 - [i8]Xi Liu, Muhe Xie, Xidao Wen, Rui Chen, Yong Ge, Nick Duffield, Na Wang:
Micro- and Macro-Level Churn Analysis of Large-Scale Mobile Games. CoRR abs/1901.06247 (2019) - [i7]Le Wu, Lei Chen, Yonghui Yang, Richang Hong, Yong Ge, Xing Xie, Meng Wang:
Personalized Multimedia Item and Key Frame Recommendation. CoRR abs/1906.00246 (2019) - [i6]Haoyu Wang, Defu Lian, Yong Ge:
Binarized Collaborative Filtering with Distilling Graph Convolutional Networks. CoRR abs/1906.01829 (2019) - 2018
- [j69]Yan Jin, Yong Ge, Jianghao Wang, Gerard B. M. Heuvelink:
Risk assessment of storm surge disaster based on numerical models and remote sensing. Int. J. Appl. Earth Obs. Geoinformation 68: 8-19 (2018) - [j68]Huan Liu, Yong Ge, Qinghua Zheng, Rongcheng Lin, Huayu Li:
Detecting global and local topics via mining twitter data. Neurocomputing 273: 120-132 (2018) - [j67]Yuehong Chen, Yanan Zhou, Yong Ge, Ru An, Yu Chen:
Enhancing Land Cover Mapping through Integration of Pixel-Based and Object-Based Classifications from Remotely Sensed Imagery. Remote. Sens. 10(1): 77 (2018) - [j66]Yuehong Chen, Yong Ge, Ru An, Yu Chen:
Super-Resolution Mapping of Impervious Surfaces from Remotely Sensed Imagery with Points-of-Interest. Remote. Sens. 10(2): 242 (2018) - [j65]Yuanxin Jia, Yong Ge, Feng Ling, Xian Guo, Jianghao Wang, Le Wang, Yuehong Chen, Xiaodong Li:
Urban Land Use Mapping by Combining Remote Sensing Imagery and Mobile Phone Positioning Data. Remote. Sens. 10(3): 446 (2018) - [j64]Yan Jin, Yong Ge, Jianghao Wang, Gerard B. M. Heuvelink, Le Wang:
Geographically Weighted Area-to-Point Regression Kriging for Spatial Downscaling in Remote Sensing. Remote. Sens. 10(4): 579 (2018) - [j63]Alfred Stein, Yong Ge, Inger Fabris-Rotelli:
Introduction to the Special Issue "Uncertainty in Remote Sensing Image Analysis". Remote. Sens. 10(12): 1975 (2018) - [j62]Yuehong Chen, Yong Ge, Gerard B. M. Heuvelink, Ru An, Yu Chen:
Object-Based Superresolution Land-Cover Mapping From Remotely Sensed Imagery. IEEE Trans. Geosci. Remote. Sens. 56(1): 328-340 (2018) - [j61]Yan Jin, Yong Ge, Jianghao Wang, Yuehong Chen, Gerard B. M. Heuvelink, Peter M. Atkinson:
Downscaling AMSR-2 Soil Moisture Data With Geographically Weighted Area-to-Area Regression Kriging. IEEE Trans. Geosci. Remote. Sens. 56(4): 2362-2376 (2018) - [j60]Yuehong Chen, Yong Ge, Yu Chen, Yan Jin, Ru An:
Subpixel Land Cover Mapping Using Multiscale Spatial Dependence. IEEE Trans. Geosci. Remote. Sens. 56(9): 5097-5106 (2018) - [j59]Le Wu, Qi Liu, Richang Hong, Enhong Chen, Yong Ge, Xing Xie, Meng Wang:
Product Adoption Rate Prediction in a Competitive Market. IEEE Trans. Knowl. Data Eng. 30(2): 325-338 (2018) - [j58]Defu Lian, Yong Ge, Fuzheng Zhang, Nicholas Jing Yuan, Xing Xie, Tao Zhou, Yong Rui:
Scalable Content-Aware Collaborative Filtering for Location Recommendation. IEEE Trans. Knowl. Data Eng. 30(6): 1122-1135 (2018) - [j57]Defu Lian, Kai Zheng, Yong Ge,