Xun Zhou - RankMe

123 papers A* 34A 6B 1Journal 53Unranked 24

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Cryptography-based privacy-preserving large language models: a lifecycle survey of frameworks, methods, and future directions. Artif. Intell. Rev. Jinglong Luo, Yehong Zhang, Zhuo Zhang, Shiyu Liu, Ye Dong, Haoran Li, Yue Yu, Hui Wang, Xun Zhou, Zenglin Xu
2026	—	`conf`	Malicious Domain Detection on Out-of-Distribution Gray Data through Graph Contrastive Learning with Structure Aggregation. KDD (1) Hongjie Gu, Daojing He, Xun Zhou
2026	J	`jnl`	TimeCNN: Refining inscross-variable interaction on time point for time series forecasting. Neural Networks Ao Hu, Liangjian Wen, Yong Dai, Shiyi Qi, Jun Wang, Zhi Chen, Xun Zhou, Dongkai Wang, Zenglin Xu, Jiang Duan
2025	—	`conf`	Adaptive Downscaling on Inputs Improves Time Series Classification. PRCV (4) Xuanxuan Li, Zenglin Xu, Liangjian Wen, Xun Zhou, Jinghua Wang
2025	—	`conf`	CENTAUR: Bridging the Impossible Trinity of Privacy, Efficiency, and Performance in Privacy-Preserving Transformer Inference. ACL (1) Jinglong Luo, Guanzhong Chen, Yehong Zhang, Shiyu Liu, Hui Wang, Yue Yu, Xun Zhou, Yuan Qi, Zenglin Xu
2025	—	`conf`	ConPro-GAIL: Interpretable Policy Learning via Conceptual Prototyping for Human Spatiotemporal Decision Understanding. SIGSPATIAL/GIS Ronilo Ragodos, Xun Zhou, Tong Wang, Yajun Pan, Jun Luo
2025	J	`jnl`	From continuous pre-training to alignment: A comprehensive toolkit for large language models in federated learning. Neurocomputing Zhuo Zhang, Yukun Zhang, Guanzhong Chen, Lizhen Qu, Xun Zhou, Hui Wang, Zenglin Xu
2025	A*	`conf`	GeoPro-Net: Learning Interpretable Spatiotemporal Prediction Models Through Statistically-Guided Geo-Prototyping. AAAI Bang An, Xun Zhou, Zirui Zhou, Ronilo J. Ragodos, Zenglin Xu, Jun Luo
2025	—	`conf`	Maximum Degree-Based Quasi-Clique Search via an Iterative Framework. KDD (2) Hongbo Xia, Kaiqiang Yu, Shengxin Liu, Cheng Long, Xun Zhou
2025	J	`jnl`	Maximum Degree-Based Quasi-Clique Search via an Iterative Framework. CoRR Hongbo Xia, Kaiqiang Yu, Shengxin Liu, Cheng Long, Xun Zhou
2025	—	`conf`	Memory-augmented Query Reconstruction for LLM-based Knowledge Graph Reasoning. ACL (Findings) Mufan Xu, Gewen Liang, Kehai Chen, Wei Wang, Xun Zhou, Muyun Yang, Tiejun Zhao, Min Zhang
2025	J	`jnl`	Memory-augmented Query Reconstruction for LLM-based Knowledge Graph Reasoning. CoRR Mufan Xu, Gewen Liang, Kehai Chen, Wei Wang, Xun Zhou, Muyun Yang, Tiejun Zhao, Min Zhang
2025	J	`jnl`	On Searching and Querying Maximum Directed $(k,\ell )$(k,ℓ)-Plex. IEEE Trans. Knowl. Data Eng. Shuohao Gao, Kaiqiang Yu, Shengxin Liu, Cheng Long, Xun Zhou
2025	J	`jnl`	SecFwT: Efficient Privacy-Preserving Fine-Tuning of Large Language Models Using Forward-Only Passes. CoRR Jinglong Luo, Zhuo Zhang, Yehong Zhang, Shiyu Liu, Ye Dong, Xun Zhou, Hui Wang, Yue Yu, Zenglin Xu
2024	J	`jnl`	Centaur: Bridging the Impossible Trinity of Privacy, Efficiency, and Performance in Privacy-Preserving Transformer Inference. CoRR Jinglong Luo, Guanzhong Chen, Yehong Zhang, Shiyu Liu, Hui Wang, Yue Yu, Xun Zhou, Yuan Qi, Zenglin Xu
2024	J	`jnl`	GeoPro-Net: Learning Interpretable Spatiotemporal Prediction Models through Statistically-Guided Geo-Prototyping. CoRR Bang An, Xun Zhou, Zirui Zhou, Ronilo J. Ragodos, Zenglin Xu, Jun Luo
2024	A*	`conf`	LISA: Learning-Integrated Space Partitioning Framework for Traffic Accident Forecasting on Heterogeneous Spatiotemporal Data. ICDM Bang An, Xun Zhou, Amin Vahedian, W. Nick Street, Jinping Guan, Jun Luo
2024	J	`jnl`	LISA: Learning-Integrated Space Partitioning Framework for Traffic Accident Forecasting on Heterogeneous Spatiotemporal Data. CoRR Bang An, Xun Zhou, Amin Vahedian, W. Nick Street, Jinping Guan, Jun Luo
2024	A	`conf`	Only Attending What Matter within Trajectories - SDM Mingzhi Hu, Xin Zhang, Yanhua Li, Yiqun Xie, Xiaowei Jia, Xun Zhou, Jun Luo
2024	A*	`conf`	Referee-Meta-Learning for Fast Adaptation of Locational Fairness. AAAI Weiye Chen, Yiqun Xie, Xiaowei Jia, Erhu He, Han Bao, Bang An, Xun Zhou
2024	J	`jnl`	Referee-Meta-Learning for Fast Adaptation of Locational Fairness. CoRR Weiye Chen, Yiqun Xie, Xiaowei Jia, Erhu He, Han Bao, Bang An, Xun Zhou
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`	TimeCNN: Refining Cross-Variable Interaction on Time Point for Time Series Forecasting. CoRR Ao Hu, Dongkai Wang, Yong Dai, Shiyi Qi, Liangjian Wen, Jun Wang, Zhi Chen, Xun Zhou, Zenglin Xu, Jiang Duan
2023	A*	`conf`	Auto-CM: Unsupervised Deep Learning for Satellite Imagery Composition and Cloud Masking Using Spatio-Temporal Dynamics. AAAI Yiqun Xie, Zhili Li, Han Bao, Xiaowei Jia, Dongkuan Xu, Xun Zhou, Sergii Skakun
2023	J	`jnl`	Balancing Specialized and General Skills in LLMs: The Impact of Modern Tuning and Data Strategy. CoRR Zheng Zhang, Chen Zheng, Da Tang, Ke Sun, Yukun Ma, Yingtong Bu, Xun Zhou, Liang Zhao
2023	A*	`conf`	CAC: Enabling Customer-Centered Passenger-Seeking for Self-Driving Ride Service with Conservative Actor-Critic. ICDM Palawat Busaranuvong, Xin Zhang, Yanhua Li, Xun Zhou, Jun Luo
2023	J	`jnl`	Detecting spatiotemporal propagation patterns of traffic congestion from fine-grained vehicle trajectory data. Int. J. Geogr. Inf. Sci. Haoyi Xiong, Xun Zhou, David A. Bennett
2023	J	`jnl`	Harnessing heterogeneity in space with statistically guided meta-learning. Knowl. Inf. Syst. Yiqun Xie, Weiye Chen, Erhu He, Xiaowei Jia, Han Bao, Xun Zhou, Rahul Ghosh, Praveen Ravirathinam
2023	A	`conf`	Learning Lightweight Neural Networks via Channel-Split Recurrent Convolution. WACV Guojun Wu, Xin Zhang, Ziming Zhang, Yanhua Li, Xun Zhou, Christopher G. Brinton, Zhenming Liu
2023	A*	`conf`	ST-iFGSM: Enhancing Robustness of Human Mobility Signature Identification Model via Spatial-Temporal Iterative FGSM. KDD Mingzhi Hu, Xin Zhang, Yanhua Li, Xun Zhou, Jun Luo
2023	A	`conf`	STM-GAIL: Spatial-Temporal Meta-GAIL for Learning Diverse Human Driving Strategies. SDM Yingxue Zhang, Yanhua Li, Xun Zhou, Ziming Zhang, Jun Luo
2023	J	`jnl`	STORM-GAN+: spatio-temporal meta-GAN for cross-city estimation of heterogeneous human mobility responses to COVID-19. Knowl. Inf. Syst. Han Bao, Xun Zhou, Yiqun Xie, Yanhua Li, Xiaowei Jia
2023	J	`jnl`	STORM-GAN: Spatio-Temporal Meta-GAN for Cross-City Estimation of Human Mobility Responses to COVID-19. CoRR Han Bao, Xun Zhou, Yiqun Xie, Yanhua Li, Xiaowei Jia
2023	A*	`conf`	Self-supervised Pre-training for Robust and Generic Spatial-Temporal Representations. ICDM Mingzhi Hu, Zhuoyun Zhong, Xin Zhang, Yanhua Li, Yiqun Xie, Xiaowei Jia, Xun Zhou, Jun Luo
2023	A*	`conf`	SpatialRank: Urban Event Ranking with NDCG Optimization on Spatiotemporal Data. NeurIPS Bang An, Xun Zhou, Yongjian Zhong, Tianbao Yang
2023	J	`jnl`	SpatialRank: Urban Event Ranking with NDCG Optimization on Spatiotemporal Data. CoRR Bang An, Xun Zhou, Yongjian Zhong, Tianbao Yang
2022	J	`jnl`	COVID-GAN+: Estimating Human Mobility Responses to COVID-19 through Spatio-temporal Generative Adversarial Networks with Enhanced Features. ACM Trans. Intell. Syst. Technol. Han Bao, Xun Zhou, Yiqun Xie, Yingxue Zhang, Yanhua Li
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	J	`jnl`	EgoSpeed-Net: Forecasting Speed-Control in Driver Behavior from Egocentric Video Data. CoRR Yichen Ding, Ziming Zhang, Yanhua Li, Xun Zhou
2022	—	`conf`	EgoSpeed-net: forecasting speed-control in driver behavior from egocentric video data. SIGSPATIAL/GIS Yichen Ding, Ziming Zhang, Yanhua Li, Xun Zhou
2022	A	`conf`	HintNet: Hierarchical Knowledge Transfer Networks for Traffic Accident Forecasting on Heterogeneous Spatio-Temporal Data. SDM Bang An, Amin Vahedian, Xun Zhou, W. Nick Street, Yanhua Li
2022	J	`jnl`	HintNet: Hierarchical Knowledge Transfer Networks for Traffic Accident Forecasting on Heterogeneous Spatio-Temporal Data. CoRR Bang An, Amin Vahedian, Xun Zhou, W. Nick Street, Yanhua Li
2022	A*	`conf`	Mest-GAN: Cross-City Urban Traffic Estimation with Me ta S patial-T emporal G enerative A dversarial N etworks. ICDM Yingxue Zhang, Yanhua Li, Xun Zhou, Jun Luo
2022	J	`jnl`	Off-Deployment Traffic Estimation - A Traffic Generative Adversarial Networks Approach. IEEE Trans. Big Data Yingxue Zhang, Yanhua Li, Xun Zhou, Xiangnan Kong, Jun Luo
2022	A*	`conf`	ProtoX: Explaining a Reinforcement Learning Agent via Prototyping. NeurIPS Ronilo J. Ragodos, Tong Wang, Qihang Lin, Xun Zhou
2022	J	`jnl`	ProtoX: Explaining a Reinforcement Learning Agent via Prototyping. CoRR Ronilo J. Ragodos, Tong Wang, Qihang Lin, Xun Zhou
2022	A*	`conf`	STORM-GAN: Spatio-Temporal Meta-GAN for Cross-City Estimation of Human Mobility Responses to COVID-19. ICDM Han Bao, Xun Zhou, Yiqun Xie, Yanhua Li, Xiaowei Jia
2022	A*	`conf`	STrans-GAN: Spatially-Transferable Generative Adversarial Networks for Urban Traffic Estimation. ICDM Yingxue Zhang, Yanhua Li, Xun Zhou, Xiangnan Kong, Jun Luo
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	A*	`conf`	Statistically-Guided Deep Network Transformation to Harness Heterogeneity in Space (Extended Abstract). IJCAI Yiqun Xie, Erhu He, Xiaowei Jia, Han Bao, Xun Zhou, Rahul Ghosh, Praveen Ravirathinam
2022	J	`jnl`	Urban Traffic Dynamics Prediction - A Continuous Spatial-temporal Meta-learning Approach. ACM Trans. Intell. Syst. Technol. Yingxue Zhang, Yanhua Li, Xun Zhou, Jun Luo, Zhi-Li Zhang
2022	J	`jnl`	cGAIL: Conditional Generative Adversarial Imitation Learning - An Application in Taxi Drivers' Strategy Learning. IEEE Trans. Big Data Xin Zhang, Yanhua Li, Xun Zhou, Jun Luo
2021	A*	`conf`	A Statistically-Guided Deep Network Transformation and Moderation Framework for Data with Spatial Heterogeneity. ICDM Yiqun Xie, Erhu He, Xiaowei Jia, Han Bao, Xun Zhou, Rahul Ghosh, Praveen Ravirathinam
2021	A*	`conf`	C ICDM Yingxue Zhang, Yanhua Li, Xun Zhou, Zhenming Liu, Jun Luo
2021	A*	`conf`	DAC-ML: Domain Adaptable Continuous Meta-Learning for Urban Dynamics Prediction. ICDM Xin Zhang, Yanhua Li, Xun Zhou, Oren Mangoubi, Ziming Zhang, Vincent Filardi, Jun Luo
2021	J	`jnl`	DILSA+: Predicting Urban Dispersal Events through Deep Survival Analysis with Enhanced Urban Features. ACM Trans. Intell. Syst. Technol. Amin Vahedian Khezerlou, Xun Zhou, Xinyi Li, W. Nick Street, Yanhua Li
2021	A*	`conf`	Deep Incremental RNN for Learning Sequential Data: A Lyapunov Stable Dynamical System. ICDM Ziming Zhang, Guojun Wu, Yanhua Li, Yun Yue, Xun Zhou
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	J	`jnl`	Forecasting Gathering Events through Trajectory Destination Prediction: A Dynamic Hybrid Model. IEEE Trans. Knowl. Data Eng. Amin Vahedian Khezerlou, Xun Zhou, Ling Tong, Yanhua Li, Jun Luo
2021	—	`conf`	Learning Decision Making Strategies of Non-experts: A NEXT-GAIL Model for Taxi Drivers. SIGSPATIAL/GIS Menghai Pan, Xin Zhang, Yanhua Li, Xun Zhou, Jun Luo
2021	J	`jnl`	Mining Spatio-Temporal Reachable Regions With Multiple Sources over Massive Trajectory Data. IEEE Trans. Knowl. Data Eng. Yichen Ding, Xun Zhou, Guojun Wu, Yanhua Li, Jie Bao, Yu Zheng, Jun Luo
2021	A*	`conf`	Precise Bayes Classifier: Summary of Results. ICDM Amin Vahedian, Xun Zhou
2021	J	`jnl`	Significant DBSCAN+: Statistically Robust Density-based Clustering. ACM Trans. Intell. Syst. Technol. Yiqun Xie, Xiaowei Jia, Shashi Shekhar, Han Bao, Xun Zhou
2021	—	`conf`	Spatial-Net: A Self-Adaptive and Model-Agnostic Deep Learning Framework for Spatially Heterogeneous Datasets. SIGSPATIAL/GIS Yiqun Xie, Xiaowei Jia, Han Bao, Xun Zhou, Jia Yu, Rahul Ghosh, Praveen Ravirathinam
2020	J	`jnl`	A New Approach for Measuring the Resilience of Transport Infrastructure Networks. Complex. Liang Wang, Xiaolong Xue, Xun Zhou
2020	—	`conf`	COVID-GAN: Estimating Human Mobility Responses to COVID-19 Pandemic through Spatio-Temporal Conditional Generative Adversarial Networks. SIGSPATIAL/GIS Han Bao, Xun Zhou, Yingxue Zhang, Yanhua Li, Yiqun Xie
2020	A*	`conf`	Curb-GAN: Conditional Urban Traffic Estimation through Spatio-Temporal Generative Adversarial Networks. KDD Yingxue Zhang, Yanhua Li, Xun Zhou, Xiangnan Kong, Jun Luo
2020	—	`conf`	Cycling-Net: A Deep Learning Approach to Predicting Cyclist Behaviors from Geo-Referenced Egocentric Video Data. SIGSPATIAL/GIS Yichen Ding, Xun Zhou, Han Bao, Yanhua Li, Cara Hamann, Steven Spears, Zhuoning Yuan
2020	J	`jnl`	DHPA: Dynamic Human Preference Analytics Framework: A Case Study on Taxi Drivers' Learning Curve Analysis. ACM Trans. Intell. Syst. Technol. Menghai Pan, Weixiao Huang, Yanhua Li, Xun Zhou, Zhenming Liu, Rui Song, Hui Lu, Zhihong Tian, Jun Luo
2020	J	`jnl`	Discovering Interesting Subpaths with Statistical Significance from Spatiotemporal Datasets. ACM Trans. Intell. Syst. Technol. Yiqun Xie, Xun Zhou, Shashi Shekhar
2020	J	`jnl`	Guest Editorial: Special Issue on Analytics for Local Events and News. GeoInformatica Amr Magdy, Xun Zhou, Daniel B. Neill
2020	A*	`conf`	Inferring Passengers' Interactive Choices on Public Transits via MA-AL: Multi-Agent Apprenticeship Learning. WWW Mingzhou Yang, Yanhua Li, Xun Zhou, Hui Lu, Zhihong Tian, Jun Luo
2020	—	`conf`	Is Reinforcement Learning the Choice of Human Learners?: A Case Study of Taxi Drivers. SIGSPATIAL/GIS Menghai Pan, Weixiao Huang, Yanhua Li, Xun Zhou, Zhenming Liu, Jie Bao, Yu Zheng, Jun Luo
2020	J	`jnl`	Optimizing Taxi Driver Profit Efficiency: A Spatial Network-Based Markov Decision Process Approach. IEEE Trans. Big Data Xun Zhou, Huigui Rong, Chang Yang, Qun Zhang, Amin Vahedian Khezerlou, Hui Zheng, Zubair Shafiq, Alex X. Liu
2020	J	`jnl`	Predicting User Posting Activities in Online Health Communities with Deep Learning. ACM Trans. Manag. Inf. Syst. Xiangyu Wang, Kang Zhao, Xun Zhou, W. Nick Street
2020	A*	`conf`	ST-SiameseNet: Spatio-Temporal Siamese Networks for Human Mobility Signature Identification. KDD Huimin Ren, Menghai Pan, Yanhua Li, Xun Zhou, Jun Luo
2020	A*	`conf`	TrajGAIL: Trajectory Generative Adversarial Imitation Learning for Long-term Decision Analysis. ICDM Xin Zhang, Yanhua Li, Xun Zhou, Ziming Zhang, Jun Luo
2020	A*	`conf`	cST-ML: Continuous Spatial-Temporal Meta-Learning for Traffic Dynamics Prediction. ICDM Yingxue Zhang, Yanhua Li, Xun Zhou, Jun Luo
2020	A*	`conf`	xGAIL: Explainable Generative Adversarial Imitation Learning for Explainable Human Decision Analysis. KDD Menghai Pan, Weixiao Huang, Yanhua Li, Xun Zhou, Jun Luo
2019	—	`conf`	A Deep Learning based Illegal Parking Detection Platform. GeoAI@SIGSPATIAL Zhengcong Yin, Haoyi Xiong, Xun Zhou, Daniel W. Goldberg, David A. Bennett, Chong Zhang
2019	A	`conf`	Dissecting the Learning Curve of Taxi Drivers: A Data-Driven Approach. SDM Menghai Pan, Yanhua Li, Xun Zhou, Zhenming Liu, Rui Song, Hui Lu, Jun Luo
2019	J	`jnl`	GeoAI 2019 workshop report: The 3nd ACM SIGSPATIAL International Workshop on GeoAI: AI for Geographic Knowledge Discovery: Seattle, WA, USA - November 5, 2019. ACM SIGSPATIAL Special Song Gao, Shawn D. Newsam, Liang Zhao, Dalton D. Lunga, Yingjie Hu, Bruno Martins, Xun Zhou, Feng Chen
2019	A*	`conf`	Predicting Urban Dispersal Events: A Two-Stage Framework through Deep Survival Analysis on Mobility Data. AAAI Amin Vahedian, Xun Zhou, Ling Tong, W. Nick Street, Yanhua Li
2019	J	`jnl`	Predicting Urban Dispersal Events: A Two-Stage Framework through Deep Survival Analysis on Mobility Data. CoRR Amin Vahedian, Xun Zhou, Ling Tong, W. Nick Street, Yanhua Li
2019	—	`ed.`	Proceedings of the 3rd ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, GeoAI@SIGSPATIAL 2019, Chicago, IL, USA, November 5, 2019. GeoAI@SIGSPATIAL Song Gao, Shawn D. Newsam, Liang Zhao, Dalton D. Lunga, Yingjie Hu, Bruno Martins, Xun Zhou, Feng Chen
2019	J	`jnl`	Sampling Big Trajectory Data for Traversal Trajectory Aggregate Query. IEEE Trans. Big Data Yichen Ding, Yanhua Li, Xun Zhou, Zhuojie Huang, Simin You, Jun Luo
2019	J	`jnl`	Task Scheduling in Deadline-Aware Mobile Edge Computing Systems. IEEE Internet Things J. Tongxin Zhu, Tuo Shi, Jianzhong Li, Zhipeng Cai, Xun Zhou
2019	A*	`conf`	TrafficGAN: Off-Deployment Traffic Estimation with Traffic Generative Adversarial Networks. ICDM Yingxue Zhang, Yanhua Li, Xun Zhou, Xiangnan Kong, Jun Luo
2019	A*	`conf`	Unveiling Taxi Drivers' Strategies via cGAIL: Conditional Generative Adversarial Imitation Learning. ICDM Xin Zhang, Yanhua Li, Xun Zhou, Jun Luo
2018	J	`jnl`	2nd ACM SIGSPATIAL workshop on analytics for local events and news (LENS 2018) seattle, washington, USA - November 6, 2018. ACM SIGSPATIAL Special Amr Magdy, Xun Zhou, Liang Zhao, Yan Huang
2018	J	`jnl`	A Machine Learning Approach for Air Quality Prediction: Model Regularization and Optimization. Big Data Cogn. Comput. Dixian Zhu, Changjie Cai, Tianbao Yang, Xun Zhou
2018	J	`jnl`	Deriving Enhanced Geographical Representations via Similarity-based Spectral Analysis: Predicting Colorectal Cancer Survival Curves in Iowa. CoRR Michael T. Lash, Min Zhang, Xun Zhou, W. Nick Street, Charles F. Lynch
2018	J	`jnl`	Deriving enhanced geographical representations via similarity-based spectral analysis: predicting colorectal cancer survival curves in Iowa. Int. J. Data Min. Bioinform. Michael T. Lash, Min Zhang, Xun Zhou, W. Nick Street, Charles F. Lynch
2018	A*	`conf`	Faster Online Learning of Optimal Threshold for Consistent F-measure Optimization. NeurIPS Xiaoxuan Zhang, Mingrui Liu, Xun Zhou, Tianbao Yang
2018	A*	`conf`	Hetero-ConvLSTM: A Deep Learning Approach to Traffic Accident Prediction on Heterogeneous Spatio-Temporal Data. KDD Zhuoning Yuan, Xun Zhou, Tianbao Yang
2018	—	`conf`	Predicting Traffic Congestion Propagation Patterns: A Propagation Graph Approach. IWCTS@SIGSPATIAL Haoyi Xiong, Amin Vahedian, Xun Zhou, Yanhua Li, Jun Luo
2018	—	`ed.`	Proceedings of the 2nd ACM SIGSPATIAL Workshop on Analytics for Local Events and News, SIGSPATIAL 2018, Seattle, WA, USA, November 6, 2018 LENS@SIGSPATIAL Amr Magdy, Xun Zhou, Liang Zhao, Yan Huang
2017	J	`jnl`	1st ACM SIGSPATIAL Workshop on Analytics for Local Events and News (LENS 2017): Redondo Beach, California, USA - November 7, 2017. ACM SIGSPATIAL Special Amr Magdy, Xun Zhou, Yan Huang
2017	J	`jnl`	A Traffic Flow Approach to Early Detection of Gathering Events: Comprehensive Results. ACM Trans. Intell. Syst. Technol. Amin Vahedian Khezerlou, Xun Zhou, Lufan Li, Zubair Shafiq, Alex X. Liu, Fan Zhang
2017	—	`book`	Encyclopedia of GIS. Encyclopedia of GIS Shashi Shekhar, Hui Xiong, Xun Zhou
2017	—	`conf`	Forecasting Gathering Events through Continuous Destination Prediction on Big Trajectory Data. SIGSPATIAL/GIS Amin Vahedian, Xun Zhou, Ling Tong, Yanhua Li, Jun Luo
2017	J	`jnl`	Learning Rich Geographical Representations: Predicting Colorectal Cancer Survival in the State of Iowa. CoRR Michael T. Lash, Yuqi Sun, Xun Zhou, Charles F. Lynch, W. Nick Street
2017	—	`conf`	Learning rich geographical representations: Predicting colorectal cancer survival in the state of Iowa. BIBM Michael T. Lash, Yuqi Sun, Xun Zhou, Charles F. Lynch, W. Nick Street
2017	—	`ed.`	Proceedings of the 1st ACM SIGSPATIAL Workshop on Analytics for Local Events and News, Redondo Beach, CA, USA, November 7-10, 2017 LENS@SIGSPATIAL Amr Magdy, Xun Zhou, Yan Huang
2017	—	`ch.`	Spatiotemporal Change Footprint Pattern Discovery. Encyclopedia of GIS Xun Zhou, Shashi Shekhar, Reem Y. Ali
2016	—	`conf`	A traffic flow approach to early detection of gathering events. SIGSPATIAL/GIS Xun Zhou, Amin Vahedian Khezerlou, Alex X. Liu, M. Zubair Shafiq, Fan Zhang
2016	A	`conf`	The Rich and the Poor: A Markov Decision Process Approach to Optimizing Taxi Driver Revenue Efficiency. CIKM Huigui Rong, Xun Zhou, Chang Yang, M. Zubair Shafiq, Alex X. Liu
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	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	J	`jnl`	A vision for GPU-accelerated parallel computation on geo-spatial datasets. ACM SIGSPATIAL Special Sushil K. Prasad, Michael McDermott, Satish Puri, Dhara Shah, Danial Aghajarian, Shashi Shekhar, Xun Zhou
2014	A*	`conf`	Ring-Shaped Hotspot Detection: A Summary of Results. ICDM Emre Eftelioglu, Shashi Shekhar, Dev Oliver, Xun Zhou, Michael R. Evans, Yiqun Xie, James M. Kang, Renee Laubscher, Christopher Farah
2014	—	`conf`	Significant Route Discovery: A Summary of Results. GIScience Dev Oliver, Shashi Shekhar, Xun Zhou, Emre Eftelioglu, Michael R. Evans, Qiaodi Zhuang, James M. Kang, Renee Laubscher, Christopher Farah
2014	J	`jnl`	Spatiotemporal change footprint pattern discovery: an inter-disciplinary survey. WIREs Data Mining Knowl. Discov. Xun Zhou, Shashi Shekhar, Reem Y. Ali
2013	—	`conf`	Discovering persistent change windows in spatiotemporal datasets: a summary of results. BigSpatial@SIGSPATIAL Xun Zhou, Shashi Shekhar, Dev Oliver
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
2013	—	`conf`	GPGPU-accelerated interesting interval discovery and other computations on GeoSpatial datasets: a summary of results. BigSpatial@SIGSPATIAL Sushil K. Prasad, Shashi Shekhar, Michael McDermott, Xun Zhou, Michael R. Evans, Satish Puri
2013	J	`jnl`	Generic and efficient framework for search trees on flash memory storage systems. GeoInformatica Mohamed Sarwat, Mohamed F. Mokbel, Xun Zhou, Suman Nath
2012	J	`jnl`	Experiences with evacuation route planning algorithms. Int. J. Geogr. Inf. Sci. Shashi Shekhar, KwangSoo Yang, Venkata M. V. Gunturi, Lydia Manikonda, Dev Oliver, Xun Zhou, Betsy George, Sangho Kim, Jeffrey M. R. Wolff, Qingsong Lu
2012	—	`conf`	Quantifying Resolution Sensitivity of Spatial Autocorrelation: A Resolution Correlogram Approach. GIScience Pradeep Mohan, Xun Zhou, Shashi Shekhar
2011	—	`conf`	Discovering interesting sub-paths in spatiotemporal datasets: a summary of results. GIS Xun Zhou, Shashi Shekhar, Pradeep Mohan, Stefan Liess, Peter K. Snyder
2011	B	`conf`	FAST: A Generic Framework for Flash-Aware Spatial Trees. SSTD Mohamed Sarwat, Mohamed F. Mokbel, Xun Zhou, Suman Nath
2010	J	`jnl`	Evacuation Planning: A Spatial Network Database Approach. IEEE Data Eng. Bull. Xun Zhou, Betsy George, Sangho Kim, Jeffrey M. R. Wolff, Qingsong Lu, Shashi Shekhar
2007	—	`conf`	Lifetime Optimized Methods of Correlated Data Gathering on Sensor Networks. SNPD (2) Xun Zhou, Shengfei Shi, Jizhou Luo, Wei Zhang