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2020 – today
- 2025
- [j84]Young-Don Choi, Iman Maghami, Jonathan L. Goodall, Lawrence E. Band, Ayman Nassar, Laurence Lin, Linnea Saby, Zhiyu Li, Shaowen Wang, Chris Calloway, Hong Yi, Martin Seul, Daniel P. Ames, David G. Tarboton:
Toward reproducible and interoperable environmental modeling: Integration of HydroShare with server-side methods for exposing large-extent spatial datasets to models. Environ. Model. Softw. 183: 106239 (2025) - [j83]Fangzheng Lyu, Zijun Yang, Chunyuan Diao, Shaowen Wang:
Multistream STGAN: A Spatiotemporal Image Fusion Model With Improved Temporal Transferability. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 18: 1562-1576 (2025) - 2024
- [j82]Haojian Liang, Shaohua Wang, Huilai Li, Liang Zhou, Xueyan Zhang, Shaowen Wang:
BiGNN: Bipartite graph neural network with attention mechanism for solving multiple traveling salesman problems in urban logistics. Int. J. Appl. Earth Obs. Geoinformation 129: 103863 (2024) - [j81]Zhaonan Wang, Renhe Jiang, Hao Xue, Flora D. Salim, Xuan Song, Ryosuke Shibasaki, Wei Hu, Shaowen Wang:
Learning spatio-temporal dynamics on mobility networks for adaptation to open-world events. Artif. Intell. 335: 104120 (2024) - [j80]Alexander Michels, Anand Padmanabhan, Zhiyu Li, Shaowen Wang:
EasyScienceGateway: A new framework for providing reproducible user environments on science gateways. Concurr. Comput. Pract. Exp. 36(4) (2024) - [j79]David G. Tarboton, Daniel P. Ames, Jeffery S. Horsburgh, Jonathan L. Goodall, Alva L. Couch, Richard P. Hooper, Jerad Bales, Shaowen Wang, Anthony M. Castronova, Martin Seul, Ray Idaszak, Zhiyu Li, Pabitra Dash, Scott Black, Maurier Ramírez, Hong Yi, Chris Calloway, Clara Cogswell:
HydroShare retrospective: Science and technology advances of a comprehensive data and model publication environment for the water science domain. Environ. Model. Softw. 172: 105902 (2024) - [j78]Nattapon Jaroenchai, Shaowen Wang, Lawrence V. Stanislawski, Ethan Shavers, Zhe Jiang, Vasit Sagan, E. Lynn Usery:
Transfer learning with convolutional neural networks for hydrological streamline delineation. Environ. Model. Softw. 181: 106165 (2024) - [j77]Alexander C. Michels, Jinwoo Park, Jeon-Young Kang, Shaowen Wang:
SPASTC: a Spatial Partitioning Algorithm for Scalable Travel-time Computation. Int. J. Geogr. Inf. Sci. 38(5): 803-824 (2024) - [j76]Fangzheng Lyu, Lixuanwu Zhou, Jinwoo Park, Furqan Baig, Shaowen Wang:
Mapping dynamic human sentiments of heat exposure with location-based social media data. Int. J. Geogr. Inf. Sci. 38(7): 1291-1314 (2024) - [j75]Xiaohui Yang, Weijing Liu, Shaowen Wang:
Video frame interpolation based on depthwise over-parameterized recurrent residual convolution. J. Electronic Imaging 33(4) (2024) - [j74]Shaowen Wang, Xiaohui Yang, Zhiquan Feng, Jiande Sun, Ju Liu:
EMCFN: Edge-based Multi-scale Cross Fusion Network for video frame interpolation. J. Vis. Commun. Image Represent. 103: 104226 (2024) - [j73]Alexander Michels, Anand Padmanabhan, Zimo Xiao, Mit Kotak, Furqan Baig, Shaowen Wang:
CyberGIS-Compute: Middleware for democratizing scalable geocomputation. SoftwareX 26: 101691 (2024) - [j72]Zhe Zhang, Jerad King, Shaowen Wang, Diana Sinton, John P. Wilson, Eric Shook:
Moving CyberGIS education forward: Knowing what matters and how it is decided. Trans. GIS 28(7): 2180-2194 (2024) - [c63]Wei Hu, Bowen Jin, Minhao Jiang, Sizhe Zhou, Zhaonan Wang, Jiawei Han, Shaowen Wang:
Geospatial Topological Relation Extraction from Text with Knowledge Augmentation. SDM 2024: 472-480 - [c62]Su Yeon Han, Joon-Seok Kim, Yuqin Jiang, Jeon-Young Kang, Jinwoo Park, Chaeyeon Han, Alexander Michels, Shaowen Wang:
CyberGIS-Vis for Democratizing Access to Scalable Spatiotemporal Geovisual Analytics: A Case Study of COVID-19. SpatialEpi@SIGSPATIAL 2024: 19-22 - [c61]Yunfan Kang, Fangzheng Lyu, Shaowen Wang:
NetPointLib: Library for Large-Scale Spatial Network Point Data Fusion and Analysis. PEARC 2024: 43:1-43:4 - [c60]Alexander Michels, Mit Kotak, Anand Padmanabhan, John Speaks, Shaowen Wang:
Providing Accessible Software Environments Across Science Gateways and HPC. PEARC 2024: 48:1-48:4 - [i13]Shaowen Wang, Linxi Yu, Jian Li:
LoRA-GA: Low-Rank Adaptation with Gradient Approximation. CoRR abs/2407.05000 (2024) - [i12]Shaowen Wang, Anan Liu, Jian Xiao, Huan Liu, Yuekui Yang, Cong Xu, Qianqian Pu, Suncong Zheng, Wei Zhang, Jian Li:
CAdam: Confidence-Based Optimization for Online Learning. CoRR abs/2411.19647 (2024) - 2023
- [j71]Iman Maghami, Ashley E. Van Beusekom, Lauren E. Hay, Zhiyu Li, Andrew Bennett, Youngdon Choi, Bart Nijssen, Shaowen Wang, David Tarboton, Jonathan L. Goodall:
Building cyberinfrastructure for the reuse and reproducibility of complex hydrologic modeling studies. Environ. Model. Softw. 164: 105689 (2023) - [j70]Young-Don Choi, Binata Roy, Jared Nguyen, Raza Ahmad, Iman Maghami, Ayman Nassar, Zhiyu Li, Anthony M. Castronova, Tanu Malik, Shaowen Wang, Jonathan L. Goodall:
Comparing containerization-based approaches for reproducible computational modeling of environmental systems. Environ. Model. Softw. 167: 105760 (2023) - [j69]Su Yeon Han, Jeon-Young Kang, Fangzheng Lyu, Furqan Baig, Jinwoo Park, Danielle Smilovsky, Shaowen Wang:
A cyberGIS approach to exploring neighborhood-level social vulnerability for disaster risk management. Trans. GIS 27(7): 1942-1958 (2023) - [j68]Shaowen Wang, Yong Jiang, Peng Song, Jun Tan, Zhaolun Liu, Bingshou He:
Memory Optimization in RNN-Based Full Waveform Inversion Using Boundary Saving Wavefield Reconstruction. IEEE Trans. Geosci. Remote. Sens. 61: 1-12 (2023) - [c59]Tianping Zhang, Shaowen Wang, Shuicheng Yan, Li Jian, Qian Liu:
Generative Table Pre-training Empowers Models for Tabular Prediction. EMNLP 2023: 14836-14854 - [c58]Yiqun Xie, Zhaonan Wang, Gengchen Mai, Yanhua Li, Xiaowei Jia, Song Gao, Shaowen Wang:
Geo-Foundation Models: Reality, Gaps and Opportunities. SIGSPATIAL/GIS 2023: 66:1-66:4 - [c57]Zhaonan Wang, Bowen Jin, Wei Hu, Minhao Jiang, Seungyeon Kang, Zhiyuan Li, Sizhe Zhou, Jiawei Han, Shaowen Wang:
Geospatial Knowledge Hypercube. SIGSPATIAL/GIS 2023: 79:1-79:4 - [c56]Alexander Michels, Jinwoo Park, Bo Li, Jeon-Young Kang, Shaowen Wang:
Impacts of Catchments Derived from Fine-Grained Mobility Data on Spatial Accessibility (Short Paper). GIScience 2023: 52:1-52:6 - [i11]Tianping Zhang, Shaowen Wang, Shuicheng Yan, Jian Li, Qian Liu:
Generative Table Pre-training Empowers Models for Tabular Prediction. CoRR abs/2305.09696 (2023) - [i10]Jimeng Shi, Vitalii Stebliankin, Zhaonan Wang, Shaowen Wang, Giri Narasimhan:
Graph Transformer Network for Flood Forecasting with Heterogeneous Covariates. CoRR abs/2310.07631 (2023) - 2022
- [j67]Kiumars Soltani, Anand Padmanabhan, Shaowen Wang:
GeoBalance: workload-aware partitioning of real-time spatiotemporal data. GeoInformatica 26(1): 67-94 (2022) - [j66]Alexander Michels, Jeon-Young Kang, Shaowen Wang:
Particle Swarm Optimization for Calibration in Spatially Explicit Agent-Based Modeling. J. Artif. Soc. Soc. Simul. 25(2) (2022) - [j65]Jeon-Young Kang, Alexander Michels, Andrew T. Crooks, Jared Aldstadt, Shaowen Wang:
An integrated framework of global sensitivity analysis and calibration for spatially explicit agent-based models. Trans. GIS 26(1): 100-128 (2022) - [j64]Chao Wang, Fangzheng Lyu, Sensen Wu, Yuanyuan Wang, Liuchang Xu, Feng Zhang, Shaowen Wang, Yongheng Wang, Zhenhong Du:
A deep trajectory clustering method based on sequence-to-sequence autoencoder model. Trans. GIS 26(4): 1801-1820 (2022) - [j63]Shaowen Wang, Peng Song, Jun Tan, Bingshou He, Qianqian Wang, Guoning Du:
Attention-Based Neural Network for Erratic Noise Attenuation From Seismic Data With a Shuffled Noise Training Data Generation Strategy. IEEE Trans. Geosci. Remote. Sens. 60: 1-16 (2022) - [j62]Zhe Jiang, Wenchong He, Marcus Stephen Kirby, Arpan Man Sainju, Shaowen Wang, Lawrence V. Stanislawski, Ethan Shavers, E. Lynn Usery:
Weakly Supervised Spatial Deep Learning for Earth Image Segmentation Based on Imperfect Polyline Labels. ACM Trans. Intell. Syst. Technol. 13(2): 25:1-25:20 (2022) - [j61]Fangzheng Lyu, Shaohua Wang, Su Yeon Han, Charlie Catlett, Shaowen Wang:
An integrated cyberGIS and machine learning framework for fine-scale prediction of Urban Heat Island using satellite remote sensing and urban sensor network data. Urban Inform. 1(1) (2022) - [c55]Fangzheng Lyu, Zijun Yang, Zimo Xiao, Chunyuan Diao, Jinwoo Park, Shaowen Wang:
CyberGIS for Scalable Remote Sensing Data Fusion. PEARC 2022: 35:1-35:4 - [c54]Furqan Baig, Alexander Michels, Zimo Xiao, Su Yeon Han, Anand Padmanabhan, Zhiyu Li, Shaowen Wang:
CyberGIS-Cloud: A unified middleware framework for cloud-based geospatial research and education. PEARC 2022: 46:1-46:4 - 2021
- [j60]Prasad Calyam, Nancy Wilkins-Diehr, Mark A. Miller, Emre H. Brookes, Ritu Arora, Amit Chourasia, Douglas M. Jennewein, Viswanath Nandigam, M. Drew LaMar, Sean B. Cleveland, Greg Newman, Shaowen Wang, Ilya Zaslavsky, Michael A. Cianfrocco, Kevin M. Ellett, David Tarboton, Keith G. Jeffery, Zhiming Zhao, Juan González-Aranda, Mark J. Perri, Gregory E. Tucker, Leonardo Candela, Tamás Kiss, Sandra Gesing:
Measuring success for a future vision: Defining impact in science gateways/virtual research environments. Concurr. Comput. Pract. Exp. 33(19) (2021) - [j59]Young-Don Choi, Jonathan L. Goodall, Jeffrey M. Sadler, Anthony M. Castronova, Andrew Bennett, Zhiyu Li, Bart Nijssen, Shaowen Wang, Martyn Clark, Daniel P. Ames, Jeffery S. Horsburgh, Hong Yi, Christina Bandaragoda, Martin Seul, Richard P. Hooper, David G. Tarboton:
Toward open and reproducible environmental modeling by integrating online data repositories, computational environments, and model Application Programming Interfaces. Environ. Model. Softw. 135: 104888 (2021) - [j58]Zewei Xu, Shaowen Wang, Lawrence V. Stanislawski, Zhe Jiang, Nattapon Jaroenchai, Arpan Man Sainju, Ethan Shavers, E. Lynn Usery, Li Chen, Zhiyu Li, Bin Su:
An attention U-Net model for detection of fine-scale hydrologic streamlines. Environ. Model. Softw. 140: 104992 (2021) - [j57]Hua Chen, Sheng Sheng, Chong-Yu Xu, Zhiyu Li, Wen Zhang, Shaowen Wang, Shenglian Guo:
A spatiotemporal estimation method for hourly rainfall based on F-SVD in the recommender system. Environ. Model. Softw. 144: 105148 (2021) - [j56]Fangzheng Lyu, Zewei Xu, Xinlin Ma, Shaohua Wang, Zhiyu Li, Shaowen Wang:
A vector-based method for drainage network analysis based on LiDAR data. Comput. Geosci. 156: 104892 (2021) - [j55]Rebecca Vandewalle, William C. Barley, Anand Padmanabhan, Daniel S. Katz, Shaowen Wang:
Understanding the multifaceted geospatial software ecosystem: a survey approach. Int. J. Geogr. Inf. Sci. 35(11): 2168-2186 (2021) - [j54]Lawrence V. Stanislawski, Ethan Shavers, Shaowen Wang, Zhe Jiang, E. Lynn Usery, Evan Moak, Alexander Duffy, Joel Schott:
Extensibility of U-Net Neural Network Model for Hydrographic Feature Extraction and Implications for Hydrologic Modeling. Remote. Sens. 13(12): 2368 (2021) - [j53]Li Chen, Weiye Chen, Zewei Xu, Haozhe Huang, Shaowen Wang, Qing Zhu, Haifeng Li:
DAPnet: A Double Self-Attention Convolutional Network for Point Cloud Semantic Labeling. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 9680-9691 (2021) - [j52]Li Chen, Zewei Xu, Qi Li, Jian Peng, Shaowen Wang, Haifeng Li:
An Empirical Study of Adversarial Examples on Remote Sensing Image Scene Classification. IEEE Trans. Geosci. Remote. Sens. 59(9): 7419-7433 (2021) - [c53]Anand Padmanabhan, Ximo Ziao, Rebecca C. Vandewalle, Furqan Baig, Alexander Michels, Zhiyu Li, Shaowen Wang:
CyberGIS-compute for enabling computationally intensive geospatial research. SpatialAPI@SIGSPATIAL 2021: 3:1-3:2 - 2020
- [j51]Ting Li, Lawrence V. Stanislawski, Tyler Brockmeyer, Shaowen Wang, Ethan Shavers:
OpenCLC: An open-source software tool for similarity assessment of linear hydrographic features. SoftwareX 11: 100401 (2020) - [j50]Dandong Yin, Shaowen Wang, Yanfeng Ouyang:
ViCTS: A novel network partition algorithm for scalable agent-based modeling of mass evacuation. Comput. Environ. Urban Syst. 80: 101452 (2020) - [c52]Alexander Michels, Jeon-Young Kang, Shaowen Wang:
An exploration of the effect of buyer preference and market composition on the rent gradient using the ALMA framework. GeoSim@SIGSPATIAL 2020: 48-51 - [i9]Li Chen, Zewei Xu, Yongjian Fu, Haozhe Huang, Shaowen Wang, Haifeng Li:
DAPnet: A double self-attention convolutional network for segmentation of point clouds. CoRR abs/2004.08596 (2020) - [i8]Ritu Arora, Xiaosong Li, Bonnie Hurwitz, Daniel Fay, Dhabaleswar K. Panda, Edward F. Valeev, Shaowen Wang, Shirley Moore, Sunita Chandrasekaran, Ting Cao, Holly Bik, Matthew Curry, Tanzima Z. Islam:
Future Directions of the Cyberinfrastructure for Sustained Scientific Innovation (CSSI) Program. CoRR abs/2010.15584 (2020)
2010 – 2019
- 2019
- [j49]Dandong Yin, Yan Liu, Hao Hu, Jeff Terstriep, Xingchen Hong, Anand Padmanabhan, Shaowen Wang:
CyberGIS-Jupyter for reproducible and scalable geospatial analytics. Concurr. Comput. Pract. Exp. 31(11) (2019) - [j48]Hao Hu, Dandong Yin, Yan Y. Liu, Jeff Terstriep, Xingchen Hong, Jeff Wendel, Shaowen Wang:
TopoLens: Building a CyberGIS community data service for enhancing the usability of high-resolution national topographic datasets. Concurr. Comput. Pract. Exp. 31(16) (2019) - [j47]Zhe Zhang, Hao Hu, Dandong Yin, Shakil Kashem, Ruopu Li, Heng Cai, Dylan Perkins, Shaowen Wang:
A cyberGIS-enabled multi-criteria spatial decision support system: A case study on flood emergency management. Int. J. Digit. Earth 12(11): 1364-1381 (2019) - [j46]Christina Bandaragoda, Anthony M. Castronova, Erkan Istanbulluoglu, Ronda Strauch, Sai S. Nudurupati, Jimmy Phuong, J. M. Adams, Nicole M. Gasparini, Katherine R. Barnhart, Eric W. H. Hutton, D. E. J. Hobley, N. J. Lyons, Gregory E. Tucker, David G. Tarboton, Ray Idaszak, Shaowen Wang:
Enabling Collaborative Numerical Modeling in Earth Sciences using Knowledge Infrastructure. Environ. Model. Softw. 120 (2019) - [j45]Bingxian Lu, Lei Wang, Jialin Liu, Wei Zhou, Linlin Guo, Myeong-Hun Jeong, Shaowen Wang, Guangjie Han:
LaSa: Location Aware Wireless Security Access Control for IoT Systems. Mob. Networks Appl. 24(3): 748-760 (2019) - [j44]Yaping Cai, Kaiyu Guan, Emerson Nafziger, Girish Chowdhary, Bin Peng, Zhenong Jin, Shaowen Wang, Sibo Wang:
Detecting In-Season Crop Nitrogen Stress of Corn for Field Trials Using UAV- and CubeSat-Based Multispectral Sensing. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12(12): 5153-5166 (2019) - [j43]Myeong-Hun Jeong, Clair J. Sullivan, Yizhao Gao, Shaowen Wang:
Robust abnormality detection methods for spatial search of radioactive materials. Trans. GIS 23(4): 860-877 (2019) - [c51]Rebecca Vandewalle, Jeon-Young Kang, Dandong Yin, Shaowen Wang:
Integrating CyberGIS-Jupyter and spatial agent-based modelling to evaluate emergency evacuation time. GeoSim@SIGSPATIAL 2019: 28-31 - [c50]Jeon-Young Kang, Jared Aldstadt, Alexander Michels, Rebecca Vandewalle, Shaowen Wang:
CyberGIS-Jupyter for spatially explicit agent-based modeling: a case study on influenza transmission. GeoSim@SIGSPATIAL 2019: 32-35 - [c49]Fangzheng Lyu, Dandong Yin, Anand Padmanabhan, Youngdon Choi, Jonathan L. Goodall, Anthony M. Castronova, David Tarboton, Shaowen Wang:
Reproducible Hydrological Modeling with CyberGIS-Jupyter: A Case Study on SUMMA. PEARC 2019: 21:1-21:6 - [c48]Anand Padmanabhan, Dandong Yin, Fangzheng Lyu, Shaowen Wang:
Bridging Local Cyberinfrastructure and XSEDE with CyberGIS-Jupyter. PEARC 2019: 95:1-95:3 - [i7]Liyuan Liu, Zihan Wang, Jingbo Shang, Dandong Yin, Heng Ji, Xiang Ren, Shaowen Wang, Jiawei Han:
Raw-to-End Name Entity Recognition in Social Media. CoRR abs/1908.05344 (2019) - 2018
- [j42]Zhe Zhang, Urska Demsar, Shaowen Wang, Kirsi Virrantaus:
A spatial fuzzy influence diagram for modelling spatial objects' dependencies: a case study on tree-related electric outages. Int. J. Geogr. Inf. Sci. 32(2): 349-366 (2018) - [j41]Yizhao Gao, Shaowen Wang, Anand Padmanabhan, Junjun Yin, Guofeng Cao:
Mapping spatiotemporal patterns of events using social media: a case study of influenza trends. Int. J. Geogr. Inf. Sci. 32(3): 425-449 (2018) - [j40]Yizhao Gao, Ting Li, Shaowen Wang, Myeong-Hun Jeong, Kiumars Soltani:
A multidimensional spatial scan statistics approach to movement pattern comparison. Int. J. Geogr. Inf. Sci. 32(7): 1304-1325 (2018) - [j39]Austin V. Davis, Shaowen Wang:
Geoexpression: A Petri network framework for representing geographic process concurrency. Trans. GIS 22(6): 1390-1405 (2018) - [j38]Chao Zhang, Dongming Lei, Quan Yuan, Honglei Zhuang, Lance M. Kaplan, Shaowen Wang, Jiawei Han:
GeoBurst+: Effective and Real-Time Local Event Detection in Geo-Tagged Tweet Streams. ACM Trans. Intell. Syst. Technol. 9(3): 34:1-34:24 (2018) - [j37]Aiman Soliman, Andrew Mackay, Arthur Schmidt, Brian Allan, Shaowen Wang:
Quantifying the geographic distribution of building coverage across the US for urban sustainability studies. Comput. Environ. Urban Syst. 71: 199-208 (2018) - [c47]Myeong-Hun Jeong, Junjun Yin, Shaowen Wang:
Outlier Detection and Comparison of Origin-Destination Flows Using Data Depth. GIScience 2018: 6:1-6:14 - 2017
- [j36]Junjun Yin, Aiman Soliman, Dandong Yin, Shaowen Wang:
Depicting urban boundaries from a mobility network of spatial interactions: a case study of Great Britain with geo-located Twitter data. Int. J. Geogr. Inf. Sci. 31(7): 1293-1313 (2017) - [c46]Sushil K. Prasad, Danial Aghajarian, Michael McDermott, Dhara Shah, Mohamed F. Mokbel, Satish Puri, Sergio J. Rey, Shashi Shekhar, Yiqun Xe, Ranga Raju Vatsavai, Fusheng Wang, Yanhui Liang, Hoang Vo, Shaowen Wang:
Parallel Processing over Spatial-Temporal Datasets from Geo, Bio, Climate and Social Science Communities: A Research Roadmap. BigData Congress 2017: 232-250 - [c45]Chao Zhang, Keyang Zhang, Quan Yuan, Haoruo Peng, Yu Zheng, Tim Hanratty, Shaowen Wang, Jiawei Han:
Regions, Periods, Activities: Uncovering Urban Dynamics via Cross-Modal Representation Learning. WWW 2017: 361-370 - [c44]Dandong Yin, Yan Liu, Anand Padmanabhan, Jeff Terstriep, Johnathan Rush, Shaowen Wang:
A CyberGIS-Jupyter Framework for Geospatial Analytics at Scale. PEARC 2017: 18:1-18:8 - [i6]Junjun Yin, Aiman Soliman, Dandong Yin, Shaowen Wang:
Depicting urban boundaries from a mobility network of spatial interactions: A case study of Great Britain with geo-located Twitter data. CoRR abs/1701.03173 (2017) - [i5]Kiumars Soltani, Anand Padmanabhan, Shaowen Wang:
MovePattern: Interactive Framework to Provide Scalable Visualization of Movement Patterns. CoRR abs/1707.03350 (2017) - 2016
- [j35]Eric Shook, Michael E. Hodgson, Shaowen Wang, Babak Behzad, Kiumars Soltani, April Hiscox, Jayakrishnan Ajayakumar:
Parallel cartographic modeling: a methodology for parallelizing spatial data processing. Int. J. Geogr. Inf. Sci. 30(12): 2355-2376 (2016) - [j34]Ye Zhi, Haifeng Li, Dashan Wang, Min Deng, Shaowen Wang, Jing Gao, Zhengyu Duan, Yu Liu:
Latent spatio-temporal activity structures: a new approach to inferring intra-urban functional regions via social media check-in data. Geo spatial Inf. Sci. 19(2): 94-105 (2016) - [j33]Junjun Yin, Yizhao Gao, Zhenhong Du, Shaowen Wang:
Exploring Multi-Scale Spatiotemporal Twitter User Mobility Patterns with a Visual-Analytics Approach. ISPRS Int. J. Geo Inf. 5(10): 187 (2016) - [j32]Junjun Yin, Yizhao Gao, Zhenhong Du, Shaowen Wang:
Correction: Yin, J., et al. Exploring Multi-Scale Spatiotemporal Twitter User Mobility Patterns with a Visual-Analytics Approach. ISPRS International Journal of Geo-Information 2016, 5, 187. ISPRS Int. J. Geo Inf. 5(12): 226 (2016) - [j31]Shaowen Wang, Yan Liu, Anand Padmanabhan:
Open cyberGIS software for geospatial research and education in the big data era. SoftwareX 5: 1-5 (2016) - [j30]Yan Y. Liu, Wendy K. Tam Cho, Shaowen Wang:
PEAR: a massively parallel evolutionary computation approach for political redistricting optimization and analysis. Swarm Evol. Comput. 30: 78-92 (2016) - [c43]Myeong-Hun Jeong, Yaping Cai, Clair J. Sullivan, Shaowen Wang:
Data depth based clustering analysis. SIGSPATIAL/GIS 2016: 29:1-29:10 - [c42]Chao Zhang, Guangyu Zhou, Quan Yuan, Honglei Zhuang, Yu Zheng, Lance M. Kaplan, Shaowen Wang, Jiawei Han:
GeoBurst: Real-Time Local Event Detection in Geo-Tagged Tweet Streams. SIGIR 2016: 513-522 - [c41]Kiumars Soltani, Aiman Soliman, Anand Padmanabhan, Shaowen Wang:
UrbanFlow: Large-scale Framework to Integrate Social Media and Authoritative Landuse Maps. XSEDE 2016: 2:1-2:8 - [c40]Ahmet Artu Yildirim, David Tarboton, Yan Liu, Nazmus Shams Sazib, Shaowen Wang:
Accelerating TauDEM for Extracting Hydrology Information from National-Scale High Resolution Topographic Dataset: Extended Abstract. XSEDE 2016: 3:1-3:2 - [c39]Kornelijus Survila, Ahmet Artu Yildirim, Ting Li, Yan Y. Liu, David G. Tarboton, Shaowen Wang:
A Scalable High-performance Topographic Flow Direction Algorithm for Hydrological Information Analysis. XSEDE 2016: 11:1-11:7 - [c38]Hao Hu, Xingchen Hong, Jeff Terstriep, Yan Y. Liu, Michael P. Finn, Johnathan Rush, Jeffrey Wendel, Shaowen Wang:
TopoLens: Building a CyberGIS Community Data Service for Enhancing the Usability of High-resolution National Topographic Datasets. XSEDE 2016: 39:1-39:8 - [i4]Aiman Soliman, Kiumars Soltani, Anand Padmanabhan, Shaowen Wang:
Consistency of Social Sensing Signatures Across Major US Cities. CoRR abs/1609.04373 (2016) - 2015
- [j29]Xun Shi, Shaowen Wang:
Computational and data sciences for health-GIS. Ann. GIS 21(2): 111-118 (2015) - [j28]Yan Liu, Anand Padmanabhan, Shaowen Wang:
CyberGIS Gateway for enabling data-rich geospatial research and education. Concurr. Comput. Pract. Exp. 27(2): 395-407 (2015) - [j27]Hao Hu, Tao Lin, Yan Y. Liu, Shaowen Wang, Luis F. Rodriguez:
CyberGIS-BioScope: a cyberinfrastructure-based spatial decision-making environment for biomass-to-biofuel supply chain optimization. Concurr. Comput. Pract. Exp. 27(16): 4437-4450 (2015) - [j26]Tao Lin, Shaowen Wang, Luis F. Rodriguez, Hao Hu, Yan Liu:
CyberGIS-enabled decision support platform for biomass supply chain optimization. Environ. Model. Softw. 70: 138-148 (2015) - [j25]Yan Y. Liu, Shaowen Wang:
A scalable parallel genetic algorithm for the Generalized Assignment Problem. Parallel Comput. 46: 98-119 (2015) - [j24]Dandong Yin, Shihong Du, Shaowen Wang, Zhou Guo:
A Direction-Guided Ant Colony Optimization Method for Extraction of Urban Road Information From Very-High-Resolution Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 8(10): 4785-4794 (2015) - [j23]Guofeng Cao, Shaowen Wang, Myunghwa Hwang, Anand Padmanabhan, Zhenhua Zhang, Kiumars Soltani:
A scalable framework for spatiotemporal analysis of location-based social media data. Comput. Environ. Urban Syst. 51: 70-82 (2015) - [c37]Aiman Soliman, Junjun Yin, Kiumars Soltani, Anand Padmanabhan, Shaowen Wang:
Where Chicagoans tweet the most: Semantic analysis of preferential return locations of Twitter users. UrbanGIS@SIGSPATIAL 2015: 55-58 - [c36]Zhibo Wang, Kuai Hu, Luyao Chen, Haikun Du, Shaowen Wang, Zihan Wang, Xiaohui Cui:
Exploiting Feature Selection Algorithm on Group Events Data Based on News Data. IIKI 2015: 62-65 - [c35]Yan Y. Liu, Wendy K. Tam Cho, Shaowen Wang:
A scalable computational approach to political redistricting optimization. XSEDE 2015: 6:1-6:2 - [c34]Kiumars Soltani, Aditya G. Parameswaran, Shaowen Wang:
GeoHashViz: interactive analytics for mapping spatiotemporal diffusion of Twitter hashtags. XSEDE 2015: 37:1-37:2 - [i3]Aiman Soliman