Zhe Jiang - RankMe

122 papers A* 24A 12B 5Journal 60Unranked 18

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Survey on Uncertainty Quantification Methods for Deep Learning. ACM Comput. Surv. Wenchong He, Zhe Jiang, Tingsong Xiao, Zelin Xu, Yukun Li
2026	J	`jnl`	EarthSpatialBench: Benchmarking Spatial Reasoning Capabilities of Multimodal LLMs on Earth Imagery. CoRR Zelin Xu, Yupu Zhang, Saugat Adhikari, Saiful Islam, Tingsong Xiao, Zibo Liu, Shigang Chen, Da Yan, Zhe Jiang
2026	J	`jnl`	VNU-Bench: A Benchmarking Dataset for Multi-Source Multimodal News Video Understanding. CoRR Zibo Liu, Muyang Li, Zhe Jiang, Shigang Chen
2025	A	`conf`	Accelerate Coastal Ocean Circulation Model with AI Surrogate. IPDPS Zelin Xu, Jie Ren, Yupu Zhang, Jose Maria Gonzalez Ondina, Maitane Olabarrieta, Tingsong Xiao, Wenchong He, Zibo Liu, Shigang Chen, Kaleb E. Smith, Zhe Jiang
2025	A*	`conf`	CoastalBench: A Decade-Long High-Resolution Dataset to Emulate Complex Coastal Processes. ICML Zelin Xu, Yupu Zhang, Tingsong Xiao, Maitane Olabarrieta Lizaso, Jose Maria Gonzalez Ondina, Zibo Liu, Shigang Chen, Zhe Jiang
2025	J	`jnl`	DecoyDB: A Dataset for Graph Contrastive Learning in Protein-Ligand Binding Affinity Prediction. CoRR Yupu Zhang, Zelin Xu, Tingsong Xiao, Gustavo de M. Seabra, Yanjun Li, Chenglong Li, Zhe Jiang
2025	—	`conf`	EvaMAE: How Helpful Are DEM Data in Enhancing Geo-Foundation Models for Earth Imagery? SIGSPATIAL/GIS Saugat Adhikari, Da Yan, Naman Nimbale, Weijin Liu, Xiaodong Yu, Akhlaque Ahmad, Lyuheng Yuan, Jiao Han, Zhe Jiang
2025	B	`conf`	FedNSA: Federated Noise-Signature Alignment for Model-Heterogeneous UAV Vehicle Detection. IEEE Big Data Tianshi Che, Yang Zhou, Tonghui Li, Qing Chang, Da Yan, Huaguo Zhou, Zhe Jiang
2025	J	`jnl`	LENS: label sparsity-tolerant adversarial learning on spatial deceptive reviews. GeoInformatica Sirish Prabakar, Haiquan Chen, Zhe Jiang, Carl Yang, Weikuan Yu, Da Yan
2025	—	`conf`	Learning Individual Movement Shifts After Urban Disruptions with Social Infrastructure Reliance. SIGSPATIAL/GIS Shangde Gao, Zelin Xu, Zhe Jiang
2025	A*	`conf`	Physics-Guided Fair Graph Sampling for Water Temperature Prediction in River Networks. AAAI Erhu He, Declan Kutscher, Yiqun Xie, Jacob Zwart, Zhe Jiang, Huaxiu Yao, Xiaowei Jia
2025	—	`conf`	Scalable Terrain-Aware Flood Extent Mapping on Earth Imagery. SIGSPATIAL/GIS Saugat Adhikari, Da Yan, Zhe Jiang, Jiao Han, Zelin Xu, Yupu Zhang, Arpan Man Sainju, Yang Zhou
2025	J	`jnl`	Scaling Terrain-Aware Spatial Machine Learning for Flood Mapping on Large Scale Earth Imagery Data. ACM Trans. Spatial Algorithms Syst. Saugat Adhikari, Da Yan, Zhe Jiang, Jiao Han, Zelin Xu, Yupu Zhang, Arpan Man Sainju, Yang Zhou
2025	J	`jnl`	Spatio-temporal Multivariate Time Series Forecast with Chosen Variables. CoRR Zibo Liu, Zhe Jiang, Zelin Xu, Tingsong Xiao, Yupu Zhang, Zhengkun Xiao, Haibo Wang, Shigang Chen
2025	J	`jnl`	Spatio-temporal Partial Sensing Forecast of Long-term Traffic. Trans. Mach. Learn. Res. Zibo Liu, Zhe Jiang, Zelin Xu, Tingsong Xiao, Zhengkun Xiao, Yupu Zhang, Haibo Wang, Shigang Chen
2025	J	`jnl`	Temporally Detailed Hypergraph Neural ODEs for Type 2 Diabetes Progression Modeling. CoRR Tingsong Xiao, Yao An Lee, Zelin Xu, Yupu Zhang, Zibo Liu, Yu Huang, Jiang Bian, Serena Jingchuan Guo, Zhe Jiang
2025	J	`jnl`	Urban Traffic Simulation with Shared Mobility Services: An Approach Using Spatiotemporal Network Kernel Density Estimation and MATSim. ACM Trans. Spatial Algorithms Syst. Jalal Khalil, Da Yan, Lyuheng Yuan, Mostafa Jafarzadehfadaki, Saugat Adhikari, Jiao Han, Virginia P. Sisiopiku, Zhe Jiang
2025	A*	`conf`	XTSFormer: Cross-Temporal-Scale Transformer for Irregular-Time Event Prediction in Clinical Applications. AAAI Tingsong Xiao, Zelin Xu, Wenchong He, Zhengkun Xiao, Yupu Zhang, Zibo Liu, Shigang Chen, My T. Thai, Jiang Bian, Parisa Rashidi, Zhe Jiang
2024	J	`jnl`	A Deep Learning Approach to Segment Coastal Marsh Tidal Creek Networks from High-Resolution Aerial Imagery. Remote. Sens. Richa Dutt, Collin Ortals, Wenchong He, Zachary Charles Curran, Christine Angelini, Alberto Canestrelli, Zhe Jiang
2024	J	`jnl`	A Fast AI Surrogate for Coastal Ocean Circulation Models. CoRR Zelin Xu, Jie Ren, Yupu Zhang, Jose Maria Gonzalez Ondina, Maitane Olabarrieta, Tingsong Xiao, Wenchong He, Zibo Liu, Shigang Chen, Kaleb E. Smith, Zhe Jiang
2024	A	`conf`	DirDense: A Tool for Mining Dense Subgraphs from a Big Directed Graph. CIKM Jalal Khalil, Akhlaque Ahmad, Da Yan, Lyuheng Yuan, Saugat Adhikari, Yang Zhou, Zhe Jiang
2024	A*	`conf`	EvaNet: Elevation-Guided Flood Extent Mapping on Earth Imagery. IJCAI Mirza Tanzim Sami, Da Yan, Saugat Adhikari, Lyuheng Yuan, Jiao Han, Zhe Jiang, Jalal Khalil, Yang Zhou
2024	J	`jnl`	EvaNet: Elevation-Guided Flood Extent Mapping on Earth Imagery. CoRR Mirza Tanzim Sami, Da Yan, Saugat Adhikari, Lyuheng Yuan, Jiao Han, Zhe Jiang, Jalal Khalil, Yang Zhou
2024	A*	`conf`	Faster Depth-First Subgraph Matching on GPUs. ICDE Lyuheng Yuan, Da Yan, Jiao Han, Akhlaque Ahmad, Yang Zhou, Zhe Jiang
2024	A	`conf`	Foundation Models for Spatiotemporal Tasks in the Physical World. SDM Zhe Jiang, Yu Wang, Zelin Xu
2024	J	`jnl`	Morphological profiling for drug discovery in the era of deep learning. Briefings Bioinform. 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
2024	J	`jnl`	Multi-View Neural Differential Equations for Continuous-Time Stream Data in Long-Term Traffic Forecasting. CoRR Zibo Liu, Zhe Jiang, Shigang Chen
2024	J	`jnl`	Physics-Guided Fair Graph Sampling for Water Temperature Prediction in River Networks. CoRR Erhu He, Declan Kutscher, Yiqun Xie, Jacob Zwart, Zhe Jiang, Huaxiu Yao, Xiaowei Jia
2024	A	`ed.`	Proceedings of the 2024 SIAM International Conference on Data Mining, SDM 2024, Houston, TX, USA, April 18-20, 2024 SDM Shashi Shekhar, Vagelis Papalexakis, Jing Gao, Zhe Jiang, Matteo Riondato
2024	A*	`conf`	SimFair: Physics-Guided Fairness-Aware Learning with Simulation Models. AAAI Zhihao Wang, Yiqun Xie, Zhili Li, Xiaowei Jia, Zhe Jiang, Aolin Jia, Shuo Xu
2024	J	`jnl`	SimFair: Physics-Guided Fairness-Aware Learning with Simulation Models. CoRR Zhihao Wang, Yiqun Xie, Zhili Li, Xiaowei Jia, Zhe Jiang, Aolin Jia, Shuo Xu
2024	A*	`conf`	Spatial-Logic-Aware Weakly Supervised Learning for Flood Mapping on Earth Imagery. AAAI Zelin Xu, Tingsong Xiao, Wenchong He, Yu Wang, Zhe Jiang, Shigang Chen, Yiqun Xie, Xiaowei Jia, Da Yan, Yang Zhou
2024	J	`jnl`	Spatio-Temporal Partial Sensing Forecast for Long-term Traffic. CoRR Zibo Liu, Zhe Jiang, Zelin Xu, Tingsong Xiao, Zhengkun Xiao, Haibo Wang, Shigang Chen
2024	A*	`conf`	The 4th KDD Workshop on Deep Learning for Spatiotemporal Data, Applications, and Systems (DeepSpatial'24). KDD Zhe Jiang, Liang Zhao, Xun Zhou, Junbo Zhang, Shashi Shekhar, Jieping Ye
2024	J	`jnl`	Transfer learning with convolutional neural networks for hydrological streamline delineation. Environ. Model. Softw. Nattapon Jaroenchai, Shaowen Wang, Lawrence V. Stanislawski, Ethan Shavers, Zhe Jiang, Vasit Sagan, E. Lynn Usery
2024	J	`jnl`	XTSFormer: Cross-Temporal-Scale Transformer for Irregular Time Event Prediction. CoRR 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
2023	A	`conf`	A Hidden Markov Forest Model for Terrain-Aware Flood Inundation Mapping from Earth Imagery. SDM Zhe Jiang, Yupu Zhang, Saugat Adhikari, Da Yan, Arpan Man Sainju, Xiaowei Jia, Yiqun Xie
2023	A*	`conf`	A Hierarchical Spatial Transformer for Massive Point Samples in Continuous Space. NeurIPS Wenchong He, Zhe Jiang, Tingsong Xiao, Zelin Xu, Shigang Chen, Ronald Fick, Miles Medina, Christine Angelini
2023	J	`jnl`	A Hierarchical Spatial Transformer for Massive Point Samples in Continuous Space. CoRR Wenchong He, Zhe Jiang, Tingsong Xiao, Zelin Xu, Shigang Chen, Ronald Fick, Miles Medina, Christine Angelini
2023	J	`jnl`	A Survey on Uncertainty Quantification Methods for Deep Neural Networks: An Uncertainty Source Perspective. CoRR Wenchong He, Zhe Jiang
2023	J	`jnl`	Deep Learning for Spatiotemporal Big Data: A Vision on Opportunities and Challenges. CoRR Zhe Jiang
2023	B	`conf`	Deep Learning for Spatiotemporal Big Data: Opportunities and Challenges [Vision Paper]. IEEE Big Data Zhe Jiang
2023	A	`conf`	Meta-Transfer-Learning for Time Series Data with Extreme Events: An Application to Water Temperature Prediction. CIKM Shengyu Chen, Nasrin Kalanat, Simon N. Topp, Jeffrey M. Sadler, Yiqun Xie, Zhe Jiang, Xiaowei Jia
2023	J	`jnl`	Morphological Profiling for Drug Discovery in the Era of Deep Learning. CoRR 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
2023	A	`conf`	Physics-guided Graph Diffusion Network for Combining Heterogeneous Simulated Data: An Application in Predicting Stream Water Temperature. SDM Xiaowei Jia, Shengyu Chen, Can Zheng, Yiqun Xie, Zhe Jiang, Nasrin Kalanat
2023	—	`conf`	Spatial Knowledge-Infused Hierarchical Learning: An Application in Flood Mapping on Earth Imagery. SIGSPATIAL/GIS Zelin Xu, Tingsong Xiao, Wenchong He, Yu Wang, Zhe Jiang
2023	J	`jnl`	Spatial Knowledge-Infused Hierarchical Learning: An Application in Flood Mapping on Earth Imagery. CoRR Zelin Xu, Tingsong Xiao, Wenchong He, Yu Wang, Zhe Jiang
2023	J	`jnl`	Traffic Flow Prediction Based on Spatiotemporal Potential Energy Fields. IEEE Trans. Knowl. Data Eng. Jingyuan Wang, Jiahao Ji, Zhe Jiang, Leilei Sun
2023	J	`jnl`	Uncertainty Quantification of Deep Learning for Spatiotemporal Data: Challenges and Opportunities. CoRR Wenchong He, Zhe Jiang
2022	J	`jnl`	A Hidden Markov Contour Tree Model for Spatial Structured Prediction. IEEE Trans. Knowl. Data Eng. Arpan Man Sainju, Wenchong He, Zhe Jiang
2022	B	`conf`	An Explainer for Temporal Graph Neural Networks. GLOBECOM Wenchong He, Minh N. Vu, Zhe Jiang, My T. Thai
2022	J	`jnl`	An Explainer for Temporal Graph Neural Networks. CoRR Wenchong He, Minh N. Vu, Zhe Jiang, My T. Thai
2022	—	`conf`	An elevation-guided annotation tool for flood extent mapping on earth imagery (demo paper). SIGSPATIAL/GIS Saugat Adhikari, Da Yan, Mirza Tanzim Sami, Jalal Khalil, Lyuheng Yuan, Bhadhan Roy Joy, Zhe Jiang, Arpan Man Sainju
2022	A*	`conf`	DeepSpatial'22: The 3rd International Workshop on Deep Learning for Spatiotemporal Data, Applications, and Systems. KDD Zhe Jiang, Liang Zhao, Xun Zhou, Robert N. Stewart, Junbo Zhang, Shashi Shekhar, Jieping Ye
2022	A*	`conf`	Distributed Task-Based Training of Tree Models. ICDE Da Yan, Md Mashiur Rahman Chowdhury, Guimu Guo, Jalal Khalil, Zhe Jiang, Sushil K. Prasad
2022	J	`jnl`	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. Wenchong He, Arpan Man Sainju, Zhe Jiang, Da Yan, Yang Zhou
2022	A*	`conf`	Fairness by "Where": A Statistically-Robust and Model-Agnostic Bi-level Learning Framework. AAAI Yiqun Xie, Erhu He, Xiaowei Jia, Weiye Chen, Sergii Skakun, Han Bao, Zhe Jiang, Rahul Ghosh, Praveen Ravirathinam
2022	A*	`conf`	Federated Fingerprint Learning with Heterogeneous Architectures. ICDM Tianshi Che, Zijie Zhang, Yang Zhou, Xin Zhao, Ji Liu, Zhe Jiang, Da Yan, Ruoming Jin, Dejing Dou
2022	A*	`conf`	Maximal Directed Quasi -Clique Mining. ICDE Guimu Guo, Da Yan, Lyuheng Yuan, Jalal Khalil, Cheng Long, Zhe Jiang, Yang Zhou
2022	A	`conf`	Modeling Reservoir Release Using Pseudo-Prospective Learning and Physical Simulations to Predict Water Temperature. SDM Xiaowei Jia, Shengyu Chen, Yiqun Xie, Haoyu Yang, Alison P. Appling, Samantha Oliver, Zhe Jiang
2022	J	`jnl`	Modeling Reservoir Release Using Pseudo-Prospective Learning and Physical Simulations to Predict Water Temperature. CoRR Xiaowei Jia, Shengyu Chen, Yiqun Xie, Haoyu Yang, Alison P. Appling, Samantha Oliver, Zhe Jiang
2022	A*	`conf`	Quantifying and Reducing Registration Uncertainty of Spatial Vector Labels on Earth Imagery. KDD Wenchong He, Zhe Jiang, Marcus Kriby, Yiqun Xie, Xiaowei Jia, Da Yan, Yang Zhou
2022	—	`conf`	Realistic urban traffic simulation with ride-hailing services: a revisit to network kernel density estimation (systems paper). SIGSPATIAL/GIS Jalal Khalil, Da Yan, Lyuheng Yuan, Mostafa Jafarzadehfadaki, Saugat Adhikari, Virginia P. Sisiopiku, Zhe Jiang
2022	A*	`conf`	STDEN: Towards Physics-Guided Neural Networks for Traffic Flow Prediction. AAAI Jiahao Ji, Jingyuan Wang, Zhe Jiang, Jiawei Jiang, Hu Zhang
2022	J	`jnl`	STDEN: Towards Physics-Guided Neural Networks for Traffic Flow Prediction. CoRR Jiahao Ji, Jingyuan Wang, Zhe Jiang, Jiawei Jiang, Hu Zhang
2022	—	`conf`	Sailing in the location-based fairness-bias sphere. SIGSPATIAL/GIS Erhu He, Weiye Chen, Yiqun Xie, Han Bao, Xun Zhou, Xiaowei Jia, Zhe Jiang, Rahul Ghosh, Praveen Ravirathinam
2022	J	`jnl`	Semi-Supervised Learning With the EM Algorithm: A Comparative Study Between Unstructured and Structured Prediction. IEEE Trans. Knowl. Data Eng. Wenchong He, Zhe Jiang
2022	J	`jnl`	Spatiotemporal Data Mining: A Survey. CoRR Arun Sharma, Zhe Jiang, Shashi Shekhar
2022	J	`jnl`	Unsupervised Adversarial Network Alignment with Reinforcement Learning. ACM Trans. Knowl. Discov. Data Yang Zhou, Jiaxiang Ren, Ruoming Jin, Zijie Zhang, Jingyi Zheng, Zhe Jiang, Da Yan, Dejing Dou
2022	J	`jnl`	Weakly Supervised Spatial Deep Learning for Earth Image Segmentation Based on Imperfect Polyline Labels. ACM Trans. Intell. Syst. Technol. Zhe Jiang, Wenchong He, Marcus Stephen Kirby, Arpan Man Sainju, Shaowen Wang, Lawrence V. Stanislawski, Ethan Shavers, E. Lynn Usery
2021	J	`jnl`	An attention U-Net model for detection of fine-scale hydrologic streamlines. Environ. Model. Softw. 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
2021	A	`conf`	ClickTrain: efficient and accurate end-to-end deep learning training via fine-grained architecture-preserving pruning. ICS Chengming Zhang, Geng Yuan, Wei Niu, Jiannan Tian, Sian Jin, Donglin Zhuang, Zhe Jiang, Yanzhi Wang, Bin Ren, Shuaiwen Leon Song, Dingwen Tao
2021	A	`conf`	Deep Neural Network for 3D Surface Segmentation based on Contour Tree Hierarchy. SDM Wenchong He, Arpan Man Sainju, Zhe Jiang, Da Yan
2021	A*	`conf`	DeepSpatial'21: 2nd International Workshop on Deep Learning for Spatiotemporal Data, Applications, and Systems. KDD Xun Zhou, Liang Zhao, Zhe Jiang, Robert N. Stewart, Shashi Shekhar, Jieping Ye
2021	—	`conf`	Drone-Based Tower Survey by Multi-Task Learning. IEEE BigData Mirza Tanzim Sami, Da Yan, Huang Huang, Xinyu Liang, Guimu Guo, Zhe Jiang
2021	J	`jnl`	Extensibility of U-Net Neural Network Model for Hydrographic Feature Extraction and Implications for Hydrologic Modeling. Remote. Sens. Lawrence V. Stanislawski, Ethan Shavers, Shaowen Wang, Zhe Jiang, E. Lynn Usery, Evan Moak, Alexander Duffy, Joel Schott
2021	J	`jnl`	Flood Inundation Mapping with Limited Observations Based on Physics-Aware Topography Constraint. Frontiers Big Data Arpan Man Sainju, Wenchong He, Zhe Jiang, Da Yan, Haiquan Chen
2021	J	`jnl`	Geographical Hidden Markov Tree. IEEE Trans. Knowl. Data Eng. Zhe Jiang, Miao Xie, Arpan Man Sainju
2021	—	`conf`	Improving Brain Dysfunction Prediction by GAN: A Functional-Connectivity Generator Approach. IEEE BigData Da Yan, Shengbin Wu, Mirza Tanzim Sami, Abdullateef Ibrahim Almudaifer, Zhe Jiang, Haiquan Chen, D. Rangaprakash, Gopikrishna Deshpande, Yueen Ma
2021	J	`jnl`	Large-Scale River Mapping Using Contrastive Learning and Multi-Source Satellite Imagery. Remote. Sens. Zhihao Wei, Kebin Jia, Pengyu Liu, Xiaowei Jia, Yiqun Xie, Zhe Jiang
2021	—	`conf`	Mapping Road Safety Barriers Across Street View Image Sequences: A Hybrid Object Detection and Recurrent Model. GeoAI@SIGSPATIAL Md Mostafijur Rahman, Arpan Man Sainju, Da Yan, Zhe Jiang
2021	A*	`conf`	Weakly Supervised Spatial Deep Learning based on Imperfect Vector Labels with Registration Errors. KDD Zhe Jiang, Wenchong He, Marcus Stephen Kirby, Sultan Asiri, Da Yan
2020	J	`jnl`	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 Zhe Jiang, Arpan Man Sainju
2020	J	`jnl`	A Survey on Spatial and Spatiotemporal Prediction Methods. CoRR Zhe Jiang
2020	J	`jnl`	An Efficient End-to-End Deep Learning Training Framework via Fine-Grained Pattern-Based Pruning. CoRR Chengming Zhang, Geng Yuan, Wei Niu, Jiannan Tian, Sian Jin, Donglin Zhuang, Zhe Jiang, Yanzhi Wang, Bin Ren, Shuaiwen Leon Song, Dingwen Tao
2020	—	`conf`	BELT: A Pipeline for Stock Price Prediction Using News. IEEE BigData Yingzhe Dong, Da Yan, Abdullateef Ibrahim Almudaifer, Sibo Yan, Zhe Jiang, Yang Zhou
2020	A*	`conf`	CurvaNet: Geometric Deep Learning based on Directional Curvature for 3D Shape Analysis. KDD Wenchong He, Zhe Jiang, Chengming Zhang, Arpan Man Sainju
2020	J	`jnl`	Deep Learning for Earth Image Segmentation based on Imperfect Polyline Labels with Annotation Errors. CoRR Zhe Jiang, Marcus Stephen Kirby, Wenchong He, Arpan Man Sainju
2020	J	`jnl`	Deep Neural Network for 3D Surface Segmentation based on Contour Tree Hierarchy. CoRR Wenchong He, Arpan Man Sainju, Zhe Jiang, Da Yan
2020	A*	`conf`	Interpretable Spatiotemporal Deep Learning Model for Traffic Flow Prediction based on Potential Energy Fields. ICDM Jiahao Ji, Jingyuan Wang, Zhe Jiang, Jingtian Ma, Hu Zhang
2020	J	`jnl`	Mapping Road Safety Features from Streetview Imagery: A Deep Learning Approach. Trans. Data Sci. Arpan Man Sainju, Zhe Jiang
2020	J	`jnl`	Parallel Grid-Based Colocation Mining Algorithms on GPUs for Big Spatial Event Data. IEEE Trans. Big Data Arpan Man Sainju, Danial Aghajarian, Zhe Jiang, Sushil K. Prasad
2020	A	`conf`	Price Forecast with High-Frequency Finance Data: An Autoregressive Recurrent Neural Network Model with Technical Indicators. CIKM Yuechun Gu, Da Yan, Sibo Yan, Zhe Jiang
2020	—	`conf`	SMART: Emerging Activity Recognition with Limited Data for Multi-modal Wearable Sensing. IEEE BigData Madhuri Ghorpade, Haiquan Chen, Yuhong Liu, Zhe Jiang
2020	J	`jnl`	Scalable Mining of Maximal Quasi-Cliques: An Algorithm-System Codesign Approach. CoRR Guimu Guo, Da Yan, M. Tamer Özsu, Zhe Jiang
2020	J	`jnl`	Scalable Mining of Maximal Quasi-Cliques: An Algorithm-System Codesign Approach. Proc. VLDB Endow. Guimu Guo, Da Yan, M. Tamer Özsu, Zhe Jiang, Jalal Khalil
2020	J	`jnl`	Semi-supervised Learning with the EM Algorithm: A Comparative Study between Unstructured and Structured Prediction. CoRR Wenchong He, Zhe Jiang
2020	J	`jnl`	Spatial Classification With Limited Observations Based On Physics-Aware Structural Constraint. CoRR Arpan Man Sainju, Wenchong He, Zhe Jiang, Da Yan, Haiquan Chen
2020	A*	`conf`	Spatial Classification with Limited Observations Based on Physics-Aware Structural Constraint. AAAI Arpan Man Sainju, Wenchong He, Zhe Jiang, Da Yan
2020	J	`jnl`	Spatial Structured Prediction Models: Applications, Challenges, and Techniques. IEEE Access Zhe Jiang
2019	J	`jnl`	A Survey on Spatial Prediction Methods. IEEE Trans. Knowl. Data Eng. Zhe Jiang
2019	A*	`conf`	Hidden Markov Contour Tree: A Spatial Structured Model for Hydrological Applications. KDD Zhe Jiang, Arpan Man Sainju
2019	J	`jnl`	Mapping road safety features from streetview imagery: A deep learning approach. CoRR Arpan Man Sainju, Zhe Jiang
2019	J	`jnl`	Spatial Ensemble Learning for Heterogeneous Geographic Data with Class Ambiguity. ACM Trans. Intell. Syst. Technol. Zhe Jiang, Arpan Man Sainju, Yan Li, Shashi Shekhar, Joseph F. Knight
2018	A	`conf`	Detection of Damage and Failure Events of Road Infrastructure Using Social Media. ICWS Aibek Musaev, Zhe Jiang, Steven L. Jones, Pezhman Sheinidashtegol, Mirbek Dzhumaliev
2018	J	`jnl`	Geographical Hidden Markov Tree for Flood Extent Mapping (With Proof Appendix). CoRR Miao Xie, Zhe Jiang, Arpan Man Sainju
2018	A*	`conf`	Geographical Hidden Markov Tree for Flood Extent Mapping. KDD Miao Xie, Zhe Jiang, Arpan Man Sainju
2018	—	`ch.`	Spatial Data Mining. Encyclopedia of Database Systems (2nd ed.) Shashi Shekhar, Zhe Jiang, James M. Kang, Vijay Gandhi
2017	—	`ch.`	Focal-Test-Based Spatial Decision Tree. Encyclopedia of GIS Zhe Jiang
2017	B	`conf`	Grid-Based Colocation Mining Algorithms on GPU for Big Spatial Event Data: A Summary of Results. SSTD Arpan Man Sainju, Zhe Jiang
2017	—	`book`	Spatial Big Data Science - Classification Techniques for Earth Observation Imagery Zhe Jiang, Shashi Shekhar
2017	—	`conf`	Spatial Ensemble Learning for Heterogeneous Geographic Data with Class Ambiguity: A Summary of Results. SIGSPATIAL/GIS Zhe Jiang, Yan Li, Shashi Shekhar, Lian P. Rampi, Joseph F. Knight
2017	—	`conf`	Visualizing Traffic Accident Hotspots Based on Spatial-Temporal Network Kernel Density Estimation. SIGSPATIAL/GIS Benjamin Romano, Zhe Jiang
2016	J	`jnl`	Identifying K Primary Corridors from urban bicycle GPS trajectories on a road network. Inf. Syst. Zhe Jiang, Michael R. Evans, Dev Oliver, Shashi Shekhar
2015	B	`conf`	A Spatio-Temporally Opportunistic Approach to Best-Start-Time Lagrangian Shortest Path. SSTD Sarnath Ramnath, Zhe Jiang, Hsuan-Heng Wu, Venkata M. V. Gunturi, Shashi Shekhar
2015	J	`jnl`	Focal-Test-Based Spatial Decision Tree Learning. IEEE Trans. Knowl. Data Eng. Zhe Jiang, Shashi Shekhar, Xun Zhou, Joseph F. Knight, Jennifer Corcoran
2015	—	`conf`	Learning Spatial Decision Trees for Land Cover Mapping. ICDM Workshops Zhe Jiang
2015	J	`jnl`	Spatiotemporal Data Mining: A Computational Perspective. ISPRS Int. J. Geo Inf. Shashi Shekhar, Zhe Jiang, Reem Y. Ali, Emre Eftelioglu, Xun Tang, Venkata M. V. Gunturi, Xun Zhou
2014	—	`conf`	Learning a Spatial Ensemble of Classifiers for Raster Classification: A Summary of Results. ICDM Workshops Zhe Jiang, Shashi Shekhar, Azamat Kamzin, Joseph F. Knight
2013	A*	`conf`	Focal-Test-Based Spatial Decision Tree Learning: A Summary of Results. ICDM Zhe Jiang, Shashi Shekhar, Xun Zhou, Joseph F. Knight, Jennifer Corcoran
2012	—	`conf`	Learning spatial decision tree for geographical classification: a summary of results. SIGSPATIAL/GIS Zhe Jiang, Shashi Shekhar, Pradeep Mohan, Joseph F. Knight, Jennifer Corcoran
2011	—	`conf`	A neighborhood graph based approach to regional co-location pattern discovery: a summary of results. GIS Pradeep Mohan, Shashi Shekhar, James A. Shine, James P. Rogers, Zhe Jiang, Nicole Wayant