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2020 – today
- 2022
[j108]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)- [j107]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) - [j106]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) - [j105]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) - [j104]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) - [j103]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) - [j102]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) - [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 - 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, Longbing Cao, Enhong Chen, Xing Xie:
GeoMF++: Scalable Location Recommendation via Joint Geographical Modeling and Matrix Factorization. ACM Trans. Inf. Syst. 36(3): 33:1-33:29 (2018) - [j56]Hongke Zhao, Qi Liu, Hengshu Zhu, Yong Ge, Enhong Chen, Yan Zhu, Junping Du:
A Sequential Approach to Market State Modeling and Analysis in Online P2P Lending. IEEE Trans. Syst. Man Cybern. Syst. 48(1): 21-33 (2018) - [j55]Ming He, Yong Ge, Enhong Chen, Qi Liu, Xuesong Wang:
Exploring the Emerging Type of Comment for Online Videos: DanMu. ACM Trans. Web 12(1): 1:1-1:33 (2018) - [j54]Binbin Lu, Wenbai Yang, Yong Ge, Paul Harris:
Improvements to the calibration of a geographically weighted regression with parameter-specific distance metrics and bandwidths. Comput. Environ. Urban Syst. 71: 41-57 (2018) - [c90]Zhuang Feng, Zhiyuan Zhou, Richang Hong, Shijie Hao, Yong Ge, Meng Wang:
Single Low-Light Image Enhancement by Fusing Multiple Sources. BigMM 2018: 1-4 - [c89]Xi Liu, Muhe Xie, Xidao Wen, Rui Chen, Yong Ge, Nick Duffield, Na Wang:
A Semi-Supervised and Inductive Embedding Model for Churn Prediction of Large-Scale Mobile Games. ICDM 2018: 277-286 - [c88]Defu Lian, Kai Zheng, Vincent W. Zheng, Yong Ge, Longbing Cao, Ivor W. Tsang, Xing Xie:
High-order Proximity Preserving Information Network Hashing. KDD 2018: 1744-1753 - [c87]Zeyang Ye, Lihao Zhang, Keli Xiao, Wenjun Zhou, Yong Ge, Yuefan Deng:
Multi-User Mobile Sequential Recommendation: An Efficient Parallel Computing Paradigm. KDD 2018: 2624-2633 - [c86]Ming He, Yan Chen, Qi Liu, Yong Ge, Enhong Chen, Guiquan Liu, Lichao Liu, Xin Li:
Understand and Assess People's Procrastination by Mining Computer Usage Log. KSEM (1) 2018: 187-199 - [i5]Le Wu, Yong Ge, Qi Liu, Enhong Chen, Richang Hong, Meng Wang, Junping Du:
Explainable Social Contextual Image Recommendation with Hierarchical Attention. CoRR abs/1806.00723 (2018) - [i4]Xi Liu, Muhe Xie, Xidao Wen, Rui Chen, Yong Ge, Nick Duffield, Na Wang:
A Semi-Supervised and Inductive Embedding Model for Churn Prediction of Large-Scale Mobile Games. CoRR abs/1808.06573 (2018) - 2017
- [j53]Yihang Zhang, Xiaodong Li, Feng Ling, Peter M. Atkinson, Yong Ge, Lingfei Shi, Yun Du:
Updating Landsat-based forest cover maps with MODIS images using multiscale spectral-spatial-temporal superresolution mapping. Int. J. Appl. Earth Obs. Geoinformation 63: 129-142 (2017) - [j52]Lingfei Shi, Feng Ling, Yong Ge, Giles M. Foody, Xiaodong Li, Lihui Wang, Yihang Zhang, Yun Du:
Impervious Surface Change Mapping with an Uncertainty-Based Spatial-Temporal Consistency Model: A Case Study in Wuhan City Using Landsat Time-Series Datasets from 1987 to 2016. Remote. Sens. 9(11): 1148 (2017) - [j51]Yuehong Chen, Yong Ge, Yuanxin Jia:
Integrating Object Boundary in Super-Resolution Land-Cover Mapping. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 10(1): 219-230 (2017) - [j50]Yong Ge, Yongze Song, Jinfeng Wang, Wei Liu, Zhoupeng Ren, Junhuan Peng, Binbin Lu:
Geographically weighted regression-based determinants of malaria incidences in northern China. Trans. GIS 21(5): 934-953 (2017) - [j49]Hongke Zhao, Yong Ge, Qi Liu, Guifeng Wang, Enhong Chen, Hefu Zhang:
P2P Lending Survey: Platforms, Recent Advances and Prospects. ACM Trans. Intell. Syst. Technol. 8(6): 72:1-72:28 (2017) - [j48]Chuanren Liu, Hui Xiong, Spiros Papadimitriou, Yong Ge, Keli Xiao:
A Proactive Workflow Model for Healthcare Operation and Management. IEEE Trans. Knowl. Data Eng. 29(3): 586-598 (2017) - [j47]Le Wu, Yong Ge, Qi Liu, Enhong Chen, Richang Hong, Junping Du, Meng Wang:
Modeling the Evolution of Users' Preferences and Social Links in Social Networking Services. IEEE Trans. Knowl. Data Eng. 29(6): 1240-1253 (2017) - [j46]Richang Hong, Chuan He, Yong Ge, Meng Wang, Xindong Wu:
User Vitality Ranking and Prediction in Social Networking Services: A Dynamic Network Perspective. IEEE Trans. Knowl. Data Eng. 29(6): 1343-1356 (2017) - [j45]Yuanchun Zhou, Yang Zhang, Yong Ge, Zhenghua Xue, Yanjie Fu, Danhuai Guo, Jing Shao, Tiangang Zhu, Xuezhi Wang, Jianhui Li:
An efficient data processing framework for mining the massive trajectory of moving objects. Comput. Environ. Urban Syst. 61: 129-140 (2017) - [c85]Boshu Ru, Charles Warner-Hillard, Yong Ge, Lixia Yao:
Identifying Serendipitous Drug Usages in Patient Forum Data - A Feasibility Study. HEALTHINF 2017: 106-118 - [c84]Meiyun Du, Yong Ge, Chengshui Nui, Yu-an Zhang:
Evolutionary algorithm based on cloud model to solve 3-SAT problem. CISP-BMEI 2017: 1-5 - [c83]Chengshui Niu, Meiyun Du, Yong Ge, Yu-an Zhang, Rende Song, Xiaofeng Qin:
Realization of visualization software for yak body weight calculation (VBWC) in three-river headwaters region based on body size. CISP-BMEI 2017: 1-6 - [c82]Tao Mei, Yong Ge, Zhanfeng Zhao, Mingyu Li, Jianwen Zhao:
Optimal Design and Experiments of a Wearable Silicone Strain Sensor. ICIRA (3) 2017: 130-137 - [c81]Ying Liu, Pei-Yu Sharon Chen, Yili Hong, Yong Ge:
The impact of rating system design on opinion sharing. ICIS 2017 - [c80]Yong Ge, Meiyun Du, Chengshui Niu, Qinglian Ma, Yu-an Zhang:
Path planning of mobile robot based on genetic algorithm with predictive operator and dynamic parameters. ICNC-FSKD 2017: 761-767 - [c79]Qiongqiong Hu, Huizhen Liu, Chengshui Niu, Meiyun Du, Yu-an Zhang, Yong Ge:
The research and application of chaotic particle swarm optimization algorithm. ICNC-FSKD 2017: 1058-1062 - [c78]Chengshui Niu, Meiyun Du, Yong Ge, Yu-an Zhang, Rende Song, Xiaofeng Qin:
Qualitative configuration based on generality data in ranch in three-river headwaters region. ICNC-FSKD 2017: 3058-3064 - [c77]Huayu Li, Yong Ge, Defu Lian, Hao Liu:
Learning User's Intrinsic and Extrinsic Interests for Point-of-Interest Recommendation: A Unified Approach. IJCAI 2017: 2117-2123 - [c76]Defu Lian, Rui Liu, Yong Ge, Kai Zheng, Xing Xie, Longbing Cao:
Discrete Content-aware Matrix Factorization. KDD 2017: 325-334 - [c75]Hongke Zhao, Hefu Zhang, Yong Ge, Qi Liu, Enhong Chen, Huayu Li, Le Wu:
Tracking the Dynamics in Crowdfunding. KDD 2017: 625-634 - [c74]Huayu Li, Yong Ge, Hengshu Zhu, Hui Xiong, Hongke Zhao:
Prospecting the Career Development of Talents: A Survival Analysis Perspective. KDD 2017: 917-925 - [c73]Huayu Li, Martin Renqiang Min, Yong Ge, Asim Kadav:
A Context-aware Attention Network for Interactive Question Answering. KDD 2017: 927-935 - [e1]Gang Li, Yong Ge, Zili Zhang, Zhi Jin, Michael Blumenstein:
Knowledge Science, Engineering and Management - 10th International Conference, KSEM 2017, Melbourne, VIC, Australia, August 19-20, 2017, Proceedings. Lecture Notes in Computer Science 10412, Springer 2017, ISBN 978-3-319-63557-6 [contents] - [r1]Yong Ge:
Mobile Sequential Recommendation. Encyclopedia of GIS 2017: 1275-1281 - 2016
- [j44]Yi Zheng, Qi Liu, Enhong Chen, Yong Ge, J. Leon Zhao:
Exploiting multi-channels deep convolutional neural networks for multivariate time series classification. Frontiers Comput. Sci. 10(1): 96-112 (2016) - [j43]Hexiang Bai, Deyu Li, Yong Ge, Jinfeng Wang:
Detecting nominal variables' spatial associations using conditional probabilities of neighboring surface objects' categories. Inf. Sci. 329: 701-718 (2016) - [j42]