default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDZhe Jiang 0001
Person information
- affiliation: University of Florida, Gainesville, FL, USA
- affiliation (former): University of Alabama, Tuscaloosa, AL, USA
Other persons with the same name
- Zhe Jiang — disambiguation page
- Zhe Jiang 0002
![[0000-0002-6147-7393]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-6147-7393")
— Northwestern Polytechnical University, Xi'an, China - Zhe Jiang 0003 — Beijing University of Posts & Telecommunications, Beijing, China
- Zhe Jiang 0004 — University of York, UK
- Zhe Jiang 0005 — Academy of Mathematics and Systems Science, Chinese Academy of Science, Beijing, China
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j23]Qiaosi Tang, Ranjala Ratnayake, Gustavo de M. Seabra, Zhe Jiang, Ruogu Fang, Lina Cui, Yousong Ding, Tamer Kahveci, Jiang Bian, Chenglong Li, Hendrik Luesch, Yanjun Li:
Morphological profiling for drug discovery in the era of deep learning. Briefings Bioinform. 25(4) (2024)- [j22]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) - [j21]Richa Dutt, Collin Ortals, Wenchong He, Zachary Charles Curran, Christine Angelini, Alberto Canestrelli, Zhe Jiang:
A Deep Learning Approach to Segment Coastal Marsh Tidal Creek Networks from High-Resolution Aerial Imagery. Remote. Sens. 16(14): 2659 (2024) - [c49]Zhihao Wang, Yiqun Xie, Zhili Li, Xiaowei Jia, Zhe Jiang, Aolin Jia, Shuo Xu:
SimFair: Physics-Guided Fairness-Aware Learning with Simulation Models. AAAI 2024: 22420-22428 - [c48]Zelin Xu, Tingsong Xiao, Wenchong He, Yu Wang, Zhe Jiang, Shigang Chen, Yiqun Xie, Xiaowei Jia, Da Yan, Yang Zhou:
Spatial-Logic-Aware Weakly Supervised Learning for Flood Mapping on Earth Imagery. AAAI 2024: 22457-22465 - [c47]Lyuheng Yuan, Da Yan, Jiao Han, Akhlaque Ahmad, Yang Zhou, Zhe Jiang:
Faster Depth-First Subgraph Matching on GPUs. ICDE 2024: 3151-3163 - [c46]Mirza Tanzim Sami, Da Yan, Saugat Adhikari, Lyuheng Yuan, Jiao Han, Zhe Jiang, Jalal Khalil, Yang Zhou:
EvaNet: Elevation-Guided Flood Extent Mapping on Earth Imagery. IJCAI 2024: 1200-1208 - [c45]Zhe Jiang, Liang Zhao, Xun Zhou, Junbo Zhang, Shashi Shekhar, Jieping Ye:
The 4th KDD Workshop on Deep Learning for Spatiotemporal Data, Applications, and Systems (DeepSpatial'24). KDD 2024: 6722-6723 - [c44]Zhe Jiang, Yu Wang, Zelin Xu:
Foundation Models for Spatiotemporal Tasks in the Physical World. SDM 2024: 392-395 - [e1]Shashi Shekhar, Vagelis Papalexakis, Jing Gao, Zhe Jiang, Matteo Riondato:
Proceedings of the 2024 SIAM International Conference on Data Mining, SDM 2024, Houston, TX, USA, April 18-20, 2024. SIAM 2024, ISBN 978-1-61197-803-2 [contents] - [i25]Zhihao Wang, Yiqun Xie, Zhili Li, Xiaowei Jia, Zhe Jiang, Aolin Jia, Shuo Xu:
SimFair: Physics-Guided Fairness-Aware Learning with Simulation Models. CoRR abs/2401.15270 (2024) - [i24]Tingsong Xiao, Zelin Xu, Wenchong He, Jim Su, Yupu Zhang, Raymond Opoku, Ronald L. Ison, Jason Petho, Jiang Bian, Patrick James Tighe, Parisa Rashidi, Zhe Jiang:
XTSFormer: Cross-Temporal-Scale Transformer for Irregular Time Event Prediction. CoRR abs/2402.02258 (2024) - [i23]Mirza Tanzim Sami, Da Yan, Saugat Adhikari, Lyuheng Yuan, Jiao Han, Zhe Jiang, Jalal Khalil, Yang Zhou:
EvaNet: Elevation-Guided Flood Extent Mapping on Earth Imagery. CoRR abs/2404.17917 (2024) - [i22]Zibo Liu, Zhe Jiang, Zelin Xu, Tingsong Xiao, Zhengkun Xiao, Haibo Wang, Shigang Chen:
Spatio-Temporal Partial Sensing Forecast for Long-term Traffic. CoRR abs/2408.02689 (2024) - [i21]Zibo Liu, Zhe Jiang, Shigang Chen:
Multi-View Neural Differential Equations for Continuous-Time Stream Data in Long-Term Traffic Forecasting. CoRR abs/2408.06445 (2024) - 2023
- [j20]Jingyuan Wang, Jiahao Ji, Zhe Jiang, Leilei Sun:
Traffic Flow Prediction Based on Spatiotemporal Potential Energy Fields. IEEE Trans. Knowl. Data Eng. 35(9): 9073-9087 (2023) - [c43]Zhe Jiang:
Deep Learning for Spatiotemporal Big Data: Opportunities and Challenges [Vision Paper]. IEEE Big Data 2023: 1157-1161 - [c42]Shengyu Chen, Nasrin Kalanat, Simon N. Topp, Jeffrey M. Sadler, Yiqun Xie, Zhe Jiang, Xiaowei Jia:
Meta-Transfer-Learning for Time Series Data with Extreme Events: An Application to Water Temperature Prediction. CIKM 2023: 266-275 - [c41]Zelin Xu, Tingsong Xiao, Wenchong He, Yu Wang, Zhe Jiang:
Spatial Knowledge-Infused Hierarchical Learning: An Application in Flood Mapping on Earth Imagery. SIGSPATIAL/GIS 2023: 48:1-48:10 - [c40]Wenchong He, Zhe Jiang, Tingsong Xiao, Zelin Xu, Shigang Chen, Ronald Fick, Miles Medina, Christine Angelini:
A Hierarchical Spatial Transformer for Massive Point Samples in Continuous Space. NeurIPS 2023 - [c39]Zhe Jiang, Yupu Zhang, Saugat Adhikari, Da Yan, Arpan Man Sainju, Xiaowei Jia, Yiqun Xie:
A Hidden Markov Forest Model for Terrain-Aware Flood Inundation Mapping from Earth Imagery. SDM 2023: 316-324 - [c38]Xiaowei Jia, Shengyu Chen, Can Zheng, Yiqun Xie, Zhe Jiang, Nasrin Kalanat:
Physics-guided Graph Diffusion Network for Combining Heterogeneous Simulated Data: An Application in Predicting Stream Water Temperature. SDM 2023: 361-369 - [i20]Wenchong He, Zhe Jiang:
A Survey on Uncertainty Quantification Methods for Deep Neural Networks: An Uncertainty Source Perspective. CoRR abs/2302.13425 (2023) - [i19]Zhe Jiang:
Deep Learning for Spatiotemporal Big Data: A Vision on Opportunities and Challenges. CoRR abs/2310.19957 (2023) - [i18]Wenchong He, Zhe Jiang:
Uncertainty Quantification of Deep Learning for Spatiotemporal Data: Challenges and Opportunities. CoRR abs/2311.02485 (2023) - [i17]Wenchong He, Zhe Jiang, Tingsong Xiao, Zelin Xu, Shigang Chen, Ronald Fick, Miles Medina, Christine Angelini:
A Hierarchical Spatial Transformer for Massive Point Samples in Continuous Space. CoRR abs/2311.04434 (2023) - [i16]Zelin Xu, Tingsong Xiao, Wenchong He, Yu Wang, Zhe Jiang:
Spatial Knowledge-Infused Hierarchical Learning: An Application in Flood Mapping on Earth Imagery. CoRR abs/2312.07767 (2023) - [i15]Qiaosi Tang, Ranjala Ratnayake, Gustavo de M. Seabra, Zhe Jiang, Ruogu Fang, Lina Cui, Yousong Ding, Tamer Kahveci, Jiang Bian, Chenglong Li, Hendrik Luesch, Yanjun Li:
Morphological Profiling for Drug Discovery in the Era of Deep Learning. CoRR abs/2312.07899 (2023) - 2022
- [j19]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) - [j18]Wenchong He, Arpan Man Sainju, Zhe Jiang, Da Yan, Yang Zhou:
Earth Imagery Segmentation on Terrain Surface with Limited Training Labels: A Semi-supervised Approach based on Physics-Guided Graph Co-Training. ACM Trans. Intell. Syst. Technol. 13(2): 26:1-26:22 (2022) - [j17]Yang Zhou, Jiaxiang Ren, Ruoming Jin, Zijie Zhang, Jingyi Zheng, Zhe Jiang, Da Yan, Dejing Dou:
Unsupervised Adversarial Network Alignment with Reinforcement Learning. ACM Trans. Knowl. Discov. Data 16(3): 50:1-50:29 (2022) - [j16]Arpan Man Sainju, Wenchong He, Zhe Jiang:
A Hidden Markov Contour Tree Model for Spatial Structured Prediction. IEEE Trans. Knowl. Data Eng. 34(4): 1530-1543 (2022) - [j15]Wenchong He, Zhe Jiang:
Semi-Supervised Learning With the EM Algorithm: A Comparative Study Between Unstructured and Structured Prediction. IEEE Trans. Knowl. Data Eng. 34(6): 2912-2920 (2022) - [c37]Jiahao Ji, Jingyuan Wang, Zhe Jiang, Jiawei Jiang, Hu Zhang:
STDEN: Towards Physics-Guided Neural Networks for Traffic Flow Prediction. AAAI 2022: 4048-4056 - [c36]Yiqun Xie, Erhu He, Xiaowei Jia, Weiye Chen, Sergii Skakun, Han Bao, Zhe Jiang, Rahul Ghosh, Praveen Ravirathinam:
Fairness by "Where": A Statistically-Robust and Model-Agnostic Bi-level Learning Framework. AAAI 2022: 12208-12216 - [c35]Saugat Adhikari, Da Yan, Mirza Tanzim Sami, Jalal Khalil, Lyuheng Yuan, Bhadhan Roy Joy, Zhe Jiang, Arpan Man Sainju:
An elevation-guided annotation tool for flood extent mapping on earth imagery (demo paper). SIGSPATIAL/GIS 2022: 28:1-28:4 - [c34]Jalal Khalil, Da Yan, Lyuheng Yuan, Mostafa Jafarzadehfadaki, Saugat Adhikari, Virginia P. Sisiopiku, Zhe Jiang:
Realistic urban traffic simulation with ride-hailing services: a revisit to network kernel density estimation (systems paper). SIGSPATIAL/GIS 2022: 29:1-29:10 - [c33]Erhu He, Weiye Chen, Yiqun Xie, Han Bao, Xun Zhou, Xiaowei Jia, Zhe Jiang, Rahul Ghosh, Praveen Ravirathinam:
Sailing in the location-based fairness-bias sphere. SIGSPATIAL/GIS 2022: 41:1-41:10 - [c32]Wenchong He, Minh N. Vu, Zhe Jiang, My T. Thai:
An Explainer for Temporal Graph Neural Networks. GLOBECOM 2022: 6384-6389 - [c31]Guimu Guo, Da Yan, Lyuheng Yuan, Jalal Khalil, Cheng Long, Zhe Jiang, Yang Zhou:
Maximal Directed Quasi -Clique Mining. ICDE 2022: 1900-1913 - [c30]Da Yan, Md Mashiur Rahman Chowdhury, Guimu Guo, Jalal Khalil, Zhe Jiang, Sushil K. Prasad:
Distributed Task-Based Training of Tree Models. ICDE 2022: 2237-2249 - [c29]Tianshi Che, Zijie Zhang, Yang Zhou, Xin Zhao, Ji Liu, Zhe Jiang, Da Yan, Ruoming Jin, Dejing Dou:
Federated Fingerprint Learning with Heterogeneous Architectures. ICDM 2022: 31-40 - [c28]Wenchong He, Zhe Jiang, Marcus Kriby, Yiqun Xie, Xiaowei Jia, Da Yan, Yang Zhou:
Quantifying and Reducing Registration Uncertainty of Spatial Vector Labels on Earth Imagery. KDD 2022: 554-564 - [c27]Zhe Jiang, Liang Zhao, Xun Zhou, Robert N. Stewart, Junbo Zhang, Shashi Shekhar, Jieping Ye:
DeepSpatial'22: The 3rd International Workshop on Deep Learning for Spatiotemporal Data, Applications, and Systems. KDD 2022: 4878-4879 - [c26]Xiaowei Jia, Shengyu Chen, Yiqun Xie, Haoyu Yang, Alison P. Appling, Samantha Oliver, Zhe Jiang:
Modeling Reservoir Release Using Pseudo-Prospective Learning and Physical Simulations to Predict Water Temperature. SDM 2022: 91-99 - [i14]Xiaowei Jia, Shengyu Chen, Yiqun Xie, Haoyu Yang, Alison P. Appling, Samantha Oliver, Zhe Jiang:
Modeling Reservoir Release Using Pseudo-Prospective Learning and Physical Simulations to Predict Water Temperature. CoRR abs/2202.05714 (2022) - [i13]Arun Sharma, Zhe Jiang, Shashi Shekhar:
Spatiotemporal Data Mining: A Survey. CoRR abs/2206.12753 (2022) - [i12]Jiahao Ji, Jingyuan Wang, Zhe Jiang, Jiawei Jiang, Hu Zhang:
STDEN: Towards Physics-Guided Neural Networks for Traffic Flow Prediction. CoRR abs/2209.00225 (2022) - [i11]Wenchong He, Minh N. Vu, Zhe Jiang, My T. Thai:
An Explainer for Temporal Graph Neural Networks. CoRR abs/2209.00807 (2022) - 2021
- [j14]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) - [j13]Arpan Man Sainju, Wenchong He, Zhe Jiang, Da Yan, Haiquan Chen:
Flood Inundation Mapping with Limited Observations Based on Physics-Aware Topography Constraint. Frontiers Big Data 4: 707951 (2021) - [j12]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) - [j11]Zhihao Wei, Kebin Jia, Pengyu Liu, Xiaowei Jia, Yiqun Xie, Zhe Jiang:
Large-Scale River Mapping Using Contrastive Learning and Multi-Source Satellite Imagery. Remote. Sens. 13(15): 2893 (2021) - [j10]Zhe Jiang, Miao Xie, Arpan Man Sainju:
Geographical Hidden Markov Tree. IEEE Trans. Knowl. Data Eng. 33(2): 506-520 (2021) - [c25]Da Yan, Shengbin Wu, Mirza Tanzim Sami, Abdullateef Ibrahim Almudaifer, Zhe Jiang, Haiquan Chen, D. Rangaprakash, Gopikrishna Deshpande, Yueen Ma:
Improving Brain Dysfunction Prediction by GAN: A Functional-Connectivity Generator Approach. IEEE BigData 2021: 1514-1522 - [c24]Mirza Tanzim Sami, Da Yan, Huang Huang, Xinyu Liang, Guimu Guo, Zhe Jiang:
Drone-Based Tower Survey by Multi-Task Learning. IEEE BigData 2021: 6011-6013 - [c23]Md Mostafijur Rahman, Arpan Man Sainju, Da Yan, Zhe Jiang:
Mapping Road Safety Barriers Across Street View Image Sequences: A Hybrid Object Detection and Recurrent Model. GeoAI@SIGSPATIAL 2021: 47-50 - [c22]Chengming Zhang, Geng Yuan, Wei Niu, Jiannan Tian, Sian Jin, Donglin Zhuang, Zhe Jiang, Yanzhi Wang, Bin Ren, Shuaiwen Leon Song, Dingwen Tao:
ClickTrain: efficient and accurate end-to-end deep learning training via fine-grained architecture-preserving pruning. ICS 2021: 266-278 - [c21]Zhe Jiang, Wenchong He, Marcus Stephen Kirby, Sultan Asiri, Da Yan:
Weakly Supervised Spatial Deep Learning based on Imperfect Vector Labels with Registration Errors. KDD 2021: 767-775 - [c20]Xun Zhou, Liang Zhao, Zhe Jiang, Robert N. Stewart, Shashi Shekhar, Jieping Ye:
DeepSpatial'21: 2nd International Workshop on Deep Learning for Spatiotemporal Data, Applications, and Systems. KDD 2021: 4183-4184 - [c19]Wenchong He, Arpan Man Sainju, Zhe Jiang, Da Yan:
Deep Neural Network for 3D Surface Segmentation based on Contour Tree Hierarchy. SDM 2021: 253-261 - 2020
- [j9]Zhe Jiang:
Spatial Structured Prediction Models: Applications, Challenges, and Techniques. IEEE Access 8: 38714-38727 (2020) - [j8]Guimu Guo, Da Yan, M. Tamer Özsu, Zhe Jiang, Jalal Khalil:
Scalable Mining of Maximal Quasi-Cliques: An Algorithm-System Codesign Approach. Proc. VLDB Endow. 14(4): 573-585 (2020) - [j7]Arpan Man Sainju, Danial Aghajarian, Zhe Jiang, Sushil K. Prasad:
Parallel Grid-Based Colocation Mining Algorithms on GPUs for Big Spatial Event Data. IEEE Trans. Big Data 6(1): 107-118 (2020) - [j6]Arpan Man Sainju, Zhe Jiang:
Mapping Road Safety Features from Streetview Imagery: A Deep Learning Approach. Trans. Data Sci. 1(3): 15:1-15:20 (2020) - [c18]Arpan Man Sainju, Wenchong He, Zhe Jiang, Da Yan:
Spatial Classification with Limited Observations Based on Physics-Aware Structural Constraint. AAAI 2020: 898-905 - [c17]Yingzhe Dong, Da Yan, Abdullateef Ibrahim Almudaifer, Sibo Yan, Zhe Jiang, Yang Zhou:
BELT: A Pipeline for Stock Price Prediction Using News. IEEE BigData 2020: 1137-1146 - [c16]Madhuri Ghorpade, Haiquan Chen, Yuhong Liu, Zhe Jiang:
SMART: Emerging Activity Recognition with Limited Data for Multi-modal Wearable Sensing. IEEE BigData 2020: 1316-1321 - [c15]Yuechun Gu, Da Yan, Sibo Yan, Zhe Jiang:
Price Forecast with High-Frequency Finance Data: An Autoregressive Recurrent Neural Network Model with Technical Indicators. CIKM 2020: 2485-2492 - [c14]Jiahao Ji, Jingyuan Wang, Zhe Jiang, Jingtian Ma, Hu Zhang:
Interpretable Spatiotemporal Deep Learning Model for Traffic Flow Prediction based on Potential Energy Fields. ICDM 2020: 1076-1081 - [c13]Wenchong He, Zhe Jiang, Chengming Zhang, Arpan Man Sainju:
CurvaNet: Geometric Deep Learning based on Directional Curvature for 3D Shape Analysis. KDD 2020: 2214-2224 - [i10]Guimu Guo, Da Yan, M. Tamer Özsu, Zhe Jiang:
Scalable Mining of Maximal Quasi-Cliques: An Algorithm-System Codesign Approach. CoRR abs/2005.00081 (2020) - [i9]Zhe Jiang, Arpan Man Sainju:
A Hidden Markov Tree Model for Flood Extent Mapping in Heavily Vegetated Areas based on High Resolution Aerial Imagery and DEM: A Case Study on Hurricane Matthew Floods. CoRR abs/2008.11230 (2020) - [i8]Wenchong He, Arpan Man Sainju, Zhe Jiang, Da Yan:
Deep Neural Network for 3D Surface Segmentation based on Contour Tree Hierarchy. CoRR abs/2008.11269 (2020) - [i7]Wenchong He, Zhe Jiang:
Semi-supervised Learning with the EM Algorithm: A Comparative Study between Unstructured and Structured Prediction. CoRR abs/2008.12442 (2020) - [i6]Arpan Man Sainju, Wenchong He, Zhe Jiang, Da Yan, Haiquan Chen:
Spatial Classification With Limited Observations Based On Physics-Aware Structural Constraint. CoRR abs/2009.01072 (2020) - [i5]Zhe Jiang, Marcus Stephen Kirby, Wenchong He, Arpan Man Sainju:
Deep Learning for Earth Image Segmentation based on Imperfect Polyline Labels with Annotation Errors. CoRR abs/2010.00757 (2020) - [i4]Chengming Zhang, Geng Yuan, Wei Niu, Jiannan Tian, Sian Jin, Donglin Zhuang, Zhe Jiang, Yanzhi Wang, Bin Ren, Shuaiwen Leon Song, Dingwen Tao:
An Efficient End-to-End Deep Learning Training Framework via Fine-Grained Pattern-Based Pruning. CoRR abs/2011.10170 (2020) - [i3]Zhe Jiang:
A Survey on Spatial and Spatiotemporal Prediction Methods. CoRR abs/2012.13384 (2020)
2010 – 2019
- 2019
- [j5]Zhe Jiang, Arpan Man Sainju, Yan Li, Shashi Shekhar, Joseph F. Knight:
Spatial Ensemble Learning for Heterogeneous Geographic Data with Class Ambiguity. ACM Trans. Intell. Syst. Technol. 10(4): 43:1-43:25 (2019) - [j4]Zhe Jiang:
A Survey on Spatial Prediction Methods. IEEE Trans. Knowl. Data Eng. 31(9): 1645-1664 (2019) - [c12]Zhe Jiang, Arpan Man Sainju:
Hidden Markov Contour Tree: A Spatial Structured Model for Hydrological Applications. KDD 2019: 804-813 - [i2]Arpan Man Sainju, Zhe Jiang:
Mapping road safety features from streetview imagery: A deep learning approach. CoRR abs/1907.12647 (2019) - 2018
- [c11]Aibek Musaev, Zhe Jiang, Steven L. Jones, Pezhman Sheinidashtegol, Mirbek Dzhumaliev:
Detection of Damage and Failure Events of Road Infrastructure Using Social Media. ICWS 2018: 134-148 - [c10]Miao Xie, Zhe Jiang, Arpan Man Sainju:
Geographical Hidden Markov Tree for Flood Extent Mapping. KDD 2018: 2545-2554 - [r2]Shashi Shekhar, Zhe Jiang, James M. Kang, Vijay Gandhi:
Spatial Data Mining. Encyclopedia of Database Systems (2nd ed.) 2018 - [i1]Miao Xie, Zhe Jiang, Arpan Man Sainju:
Geographical Hidden Markov Tree for Flood Extent Mapping (With Proof Appendix). CoRR abs/1805.09757 (2018) - 2017
- [b1]Zhe Jiang, Shashi Shekhar:
Spatial Big Data Science - Classification Techniques for Earth Observation Imagery. Springer 2017, ISBN 978-3-319-60194-6, pp. 1-131 - [c9]Zhe Jiang, Yan Li, Shashi Shekhar, Lian P. Rampi, Joseph F. Knight:
Spatial Ensemble Learning for Heterogeneous Geographic Data with Class Ambiguity: A Summary of Results. SIGSPATIAL/GIS 2017: 23:1-23:10 - [c8]Benjamin Romano, Zhe Jiang:
Visualizing Traffic Accident Hotspots Based on Spatial-Temporal Network Kernel Density Estimation. SIGSPATIAL/GIS 2017: 98:1-98:4 - [c7]Arpan Man Sainju, Zhe Jiang:
Grid-Based Colocation Mining Algorithms on GPU for Big Spatial Event Data: A Summary of Results. SSTD 2017: 263-280 - [r1]Zhe Jiang:
Focal-Test-Based Spatial Decision Tree. Encyclopedia of GIS 2017: 622-627 - 2016
- [j3]Zhe Jiang, Michael R. Evans, Dev Oliver, Shashi Shekhar:
Identifying K Primary Corridors from urban bicycle GPS trajectories on a road network. Inf. Syst. 57: 142-159 (2016) - 2015
- [j2]Shashi Shekhar, Zhe Jiang, Reem Y. Ali, Emre Eftelioglu, Xun Tang, Venkata M. V. Gunturi, Xun Zhou:
Spatiotemporal Data Mining: A Computational Perspective. ISPRS Int. J. Geo Inf. 4(4): 2306-2338 (2015) - [j1]Zhe Jiang, Shashi Shekhar, Xun Zhou, Joseph F. Knight, Jennifer Corcoran:
Focal-Test-Based Spatial Decision Tree Learning. IEEE Trans. Knowl. Data Eng. 27(6): 1547-1559 (2015) - [c6]Zhe Jiang:
Learning Spatial Decision Trees for Land Cover Mapping. ICDM Workshops 2015: 1522-1529 - [c5]Sarnath Ramnath, Zhe Jiang, Hsuan-Heng Wu, Venkata M. V. Gunturi, Shashi Shekhar:
A Spatio-Temporally Opportunistic Approach to Best-Start-Time Lagrangian Shortest Path. SSTD 2015: 274-291 - 2014
- [c4]Zhe Jiang, Shashi Shekhar, Azamat Kamzin, Joseph F. Knight:
Learning a Spatial Ensemble of Classifiers for Raster Classification: A Summary of Results. ICDM Workshops 2014: 15-18 - 2013
- [c3]Zhe Jiang, Shashi Shekhar, Xun Zhou, Joseph F. Knight, Jennifer Corcoran:
Focal-Test-Based Spatial Decision Tree Learning: A Summary of Results. ICDM 2013: 320-329 - 2012
- [c2]Zhe Jiang, Shashi Shekhar, Pradeep Mohan, Joseph F. Knight, Jennifer Corcoran:
Learning spatial decision tree for geographical classification: a summary of results. SIGSPATIAL/GIS 2012: 390-393 - 2011
- [c1]Pradeep Mohan, Shashi Shekhar, James A. Shine, James P. Rogers, Zhe Jiang, Nicole Wayant:
A neighborhood graph based approach to regional co-location pattern discovery: a summary of results. GIS 2011: 122-132
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-30 21:30 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
