default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDXun Zhou 0001
Person information
- affiliation: Harbin Institute of Technology, School of Computer Science and Technology, Shenzhen, China
- affiliation (2014 - 2023): University of Iowa, Tippie College of Business, Department of Management Sciences, Iowa City, IA, USA
- affiliation (PhD 2014): University of Minnesota Twin Cities, Department of Computer Science, Minneapolis, MN, USA
Other persons with the same name
- Xun Zhou — disambiguation page
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2025
[j35]Zhuo Zhang, Yukun Zhang, Guanzhong Chen, Lizhen Qu, Xun Zhou, Hui Wang, Zenglin Xu:
From continuous pre-training to alignment: A comprehensive toolkit for large language models in federated learning. Neurocomputing 647: 130572 (2025)- [j34]Yingxue Zhang
, Yanhua Li, Xun Zhou, Zhenming Liu, Jun Luo:
C3-GAN+: Complex-Condition-Controlled Generative Adversarial Networks with Enhanced Embedding. ACM Trans. Knowl. Discov. Data 19(2): 37:1-37:21 (2025) - [j33]Shuohao Gao, Kaiqiang Yu, Shengxin Liu, Cheng Long, Xun Zhou:
On Searching and Querying Maximum Directed $(k,\ell )$(k,ℓ)-Plex. IEEE Trans. Knowl. Data Eng. 37(8): 4743-4757 (2025) - [c61]Bang An, Xun Zhou, Zirui Zhou, Ronilo J. Ragodos, Zenglin Xu, Jun Luo:
GeoPro-Net: Learning Interpretable Spatiotemporal Prediction Models Through Statistically-Guided Geo-Prototyping. AAAI 2025: 11427-11435 - [c60]Jinglong Luo, Guanzhong Chen, Yehong Zhang, Shiyu Liu, Hui Wang, Yue Yu, Xun Zhou, Yuan Qi, Zenglin Xu:
CENTAUR: Bridging the Impossible Trinity of Privacy, Efficiency, and Performance in Privacy-Preserving Transformer Inference. ACL (1) 2025: 22751-22770 - [c59]Mufan Xu, Gewen Liang, Kehai Chen, Wei Wang, Xun Zhou, Muyun Yang, Tiejun Zhao, Min Zhang:
Memory-augmented Query Reconstruction for LLM-based Knowledge Graph Reasoning. ACL (Findings) 2025: 24068-24084 - [i17]Mufan Xu, Gewen Liang, Kehai Chen, Wei Wang, Xun Zhou, Muyun Yang, Tiejun Zhao, Min Zhang:
Memory-augmented Query Reconstruction for LLM-based Knowledge Graph Reasoning. CoRR abs/2503.05193 (2025) - [i16]Hongbo Xia, Kaiqiang Yu, Shengxin Liu, Cheng Long, Xun Zhou:
Maximum Degree-Based Quasi-Clique Search via an Iterative Framework. CoRR abs/2505.15118 (2025) - [i15]Jinglong Luo, Zhuo Zhang, Yehong Zhang, Shiyu Liu, Ye Dong, Xun Zhou, Hui Wang, Yue Yu, Zenglin Xu:
SecFwT: Efficient Privacy-Preserving Fine-Tuning of Large Language Models Using Forward-Only Passes. CoRR abs/2506.15307 (2025) - 2024
- [c58]Weiye Chen, Yiqun Xie, Xiaowei Jia, Erhu He, Han Bao, Bang An, Xun Zhou:
Referee-Meta-Learning for Fast Adaptation of Locational Fairness. AAAI 2024: 21949-21957 - [c57]Bang An, Xun Zhou, Amin Vahedian, W. Nick Street, Jinping Guan, Jun Luo:
LISA: Learning-Integrated Space Partitioning Framework for Traffic Accident Forecasting on Heterogeneous Spatiotemporal Data. ICDM 2024: 11-20 - [c56]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 - [c55]Mingzhi Hu, Xin Zhang, Yanhua Li, Yiqun Xie, Xiaowei Jia, Xun Zhou, Jun Luo:
Only Attending What Matter within Trajectories - Memory-Efficient Trajectory Attention. SDM 2024: 481-489 - [i14]Weiye Chen, Yiqun Xie, Xiaowei Jia, Erhu He, Han Bao, Bang An, Xun Zhou:
Referee-Meta-Learning for Fast Adaptation of Locational Fairness. CoRR abs/2402.13379 (2024) - [i13]Ao Hu, Dongkai Wang, Yong Dai, Shiyi Qi, Liangjian Wen, Jun Wang, Zhi Chen, Xun Zhou, Zenglin Xu, Jiang Duan:
TimeCNN: Refining Cross-Variable Interaction on Time Point for Time Series Forecasting. CoRR abs/2410.04853 (2024) - [i12]Jinglong Luo, Guanzhong Chen, Yehong Zhang, Shiyu Liu, Hui Wang, Yue Yu, Xun Zhou, Yuan Qi, Zenglin Xu:
Centaur: Bridging the Impossible Trinity of Privacy, Efficiency, and Performance in Privacy-Preserving Transformer Inference. CoRR abs/2412.10652 (2024) - [i11]Bang An, Xun Zhou, Zirui Zhou, Ronilo J. Ragodos, Zenglin Xu, Jun Luo:
GeoPro-Net: Learning Interpretable Spatiotemporal Prediction Models through Statistically-Guided Geo-Prototyping. CoRR abs/2412.15353 (2024) - [i10]Bang An, Xun Zhou, Amin Vahedian, W. Nick Street, Jinping Guan, Jun Luo:
LISA: Learning-Integrated Space Partitioning Framework for Traffic Accident Forecasting on Heterogeneous Spatiotemporal Data. CoRR abs/2412.15365 (2024) - 2023
- [j32]Haoyi Xiong, Xun Zhou, David A. Bennett:
Detecting spatiotemporal propagation patterns of traffic congestion from fine-grained vehicle trajectory data. Int. J. Geogr. Inf. Sci. 37(5): 1157-1179 (2023) - [j31]Yiqun Xie, Weiye Chen, Erhu He, Xiaowei Jia, Han Bao, Xun Zhou, Rahul Ghosh, Praveen Ravirathinam:
Harnessing heterogeneity in space with statistically guided meta-learning. Knowl. Inf. Syst. 65(6): 2699-2729 (2023) - [j30]Han Bao, Xun Zhou, Yiqun Xie, Yanhua Li, Xiaowei Jia:
STORM-GAN+: spatio-temporal meta-GAN for cross-city estimation of heterogeneous human mobility responses to COVID-19. Knowl. Inf. Syst. 65(11): 4759-4795 (2023) - [c54]Yiqun Xie, Zhili Li, Han Bao, Xiaowei Jia, Dongkuan Xu, Xun Zhou, Sergii Skakun:
Auto-CM: Unsupervised Deep Learning for Satellite Imagery Composition and Cloud Masking Using Spatio-Temporal Dynamics. AAAI 2023: 14575-14583 - [c53]Palawat Busaranuvong, Xin Zhang, Yanhua Li, Xun Zhou, Jun Luo:
CAC: Enabling Customer-Centered Passenger-Seeking for Self-Driving Ride Service with Conservative Actor-Critic. ICDM 2023: 21-30 - [c52]Mingzhi Hu, Zhuoyun Zhong, Xin Zhang, Yanhua Li, Yiqun Xie, Xiaowei Jia, Xun Zhou, Jun Luo:
Self-supervised Pre-training for Robust and Generic Spatial-Temporal Representations. ICDM 2023: 150-159 - [c51]Mingzhi Hu, Xin Zhang, Yanhua Li, Xun Zhou, Jun Luo:
ST-iFGSM: Enhancing Robustness of Human Mobility Signature Identification Model via Spatial-Temporal Iterative FGSM. KDD 2023: 764-774 - [c50]Bang An, Xun Zhou, Yongjian Zhong, Tianbao Yang:
SpatialRank: Urban Event Ranking with NDCG Optimization on Spatiotemporal Data. NeurIPS 2023 - [c49]Yingxue Zhang, Yanhua Li, Xun Zhou, Ziming Zhang, Jun Luo:
STM-GAIL: Spatial-Temporal Meta-GAIL for Learning Diverse Human Driving Strategies. SDM 2023: 208-216 - [c48]Guojun Wu, Xin Zhang, Ziming Zhang, Yanhua Li, Xun Zhou, Christopher G. Brinton, Zhenming Liu:
Learning Lightweight Neural Networks via Channel-Split Recurrent Convolution. WACV 2023: 3847-3857 - [i9]Han Bao, Xun Zhou, Yiqun Xie, Yanhua Li, Xiaowei Jia:
STORM-GAN: Spatio-Temporal Meta-GAN for Cross-City Estimation of Human Mobility Responses to COVID-19. CoRR abs/2301.08648 (2023) - [i8]Bang An, Xun Zhou, Yongjian Zhong, Tianbao Yang:
SpatialRank: Urban Event Ranking with NDCG Optimization on Spatiotemporal Data. CoRR abs/2310.00270 (2023) - [i7]Zheng Zhang, Chen Zheng, Da Tang, Ke Sun, Yukun Ma, Yingtong Bu, Xun Zhou, Liang Zhao:
Balancing Specialized and General Skills in LLMs: The Impact of Modern Tuning and Data Strategy. CoRR abs/2310.04945 (2023) - 2022
- [j29]Yingxue Zhang, Yanhua Li, Xun Zhou, Xiangnan Kong, Jun Luo:
Off-Deployment Traffic Estimation - A Traffic Generative Adversarial Networks Approach. IEEE Trans. Big Data 8(4): 1084-1095 (2022) - [j28]Xin Zhang, Yanhua Li, Xun Zhou, Jun Luo:
cGAIL: Conditional Generative Adversarial Imitation Learning - An Application in Taxi Drivers' Strategy Learning. IEEE Trans. Big Data 8(5): 1288-1300 (2022) - [j27]Yingxue Zhang, Yanhua Li, Xun Zhou, Jun Luo, Zhi-Li Zhang:
Urban Traffic Dynamics Prediction - A Continuous Spatial-temporal Meta-learning Approach. ACM Trans. Intell. Syst. Technol. 13(2): 23:1-23:19 (2022) - [j26]Han Bao, Xun Zhou, Yiqun Xie, Yingxue Zhang, Yanhua Li:
COVID-GAN+: Estimating Human Mobility Responses to COVID-19 through Spatio-temporal Generative Adversarial Networks with Enhanced Features. ACM Trans. Intell. Syst. Technol. 13(2): 27:1-27:23 (2022) - [c47]Yichen Ding, Ziming Zhang, Yanhua Li, Xun Zhou:
EgoSpeed-net: forecasting speed-control in driver behavior from egocentric video data. SIGSPATIAL/GIS 2022: 12:1-12:10 - [c46]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 - [c45]Han Bao, Xun Zhou, Yiqun Xie, Yanhua Li, Xiaowei Jia:
STORM-GAN: Spatio-Temporal Meta-GAN for Cross-City Estimation of Human Mobility Responses to COVID-19. ICDM 2022: 1-10 - [c44]Yingxue Zhang, Yanhua Li, Xun Zhou, Jun Luo:
Mest-GAN: Cross-City Urban Traffic Estimation with Me ta S patial-T emporal G enerative A dversarial N etworks. ICDM 2022: 733-742 - [c43]Yingxue Zhang, Yanhua Li, Xun Zhou, Xiangnan Kong, Jun Luo:
STrans-GAN: Spatially-Transferable Generative Adversarial Networks for Urban Traffic Estimation. ICDM 2022: 743-752 - [c42]Yiqun Xie, Erhu He, Xiaowei Jia, Han Bao, Xun Zhou, Rahul Ghosh, Praveen Ravirathinam:
Statistically-Guided Deep Network Transformation to Harness Heterogeneity in Space (Extended Abstract). IJCAI 2022: 5364-5368 - [c41]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 - [c40]Ronilo J. Ragodos, Tong Wang, Qihang Lin, Xun Zhou:
ProtoX: Explaining a Reinforcement Learning Agent via Prototyping. NeurIPS 2022 - [c39]Bang An, Amin Vahedian, Xun Zhou, W. Nick Street, Yanhua Li:
HintNet: Hierarchical Knowledge Transfer Networks for Traffic Accident Forecasting on Heterogeneous Spatio-Temporal Data. SDM 2022: 334-342 - [i6]Bang An, Amin Vahedian, Xun Zhou, W. Nick Street, Yanhua Li:
HintNet: Hierarchical Knowledge Transfer Networks for Traffic Accident Forecasting on Heterogeneous Spatio-Temporal Data. CoRR abs/2203.03100 (2022) - [i5]Yichen Ding, Ziming Zhang, Yanhua Li, Xun Zhou:
EgoSpeed-Net: Forecasting Speed-Control in Driver Behavior from Egocentric Video Data. CoRR abs/2209.13459 (2022) - [i4]Ronilo J. Ragodos, Tong Wang, Qihang Lin, Xun Zhou:
ProtoX: Explaining a Reinforcement Learning Agent via Prototyping. CoRR abs/2211.03162 (2022) - 2021
- [j25]Amin Vahedian Khezerlou, Xun Zhou, Xinyi Li, W. Nick Street, Yanhua Li:
DILSA+: Predicting Urban Dispersal Events through Deep Survival Analysis with Enhanced Urban Features. ACM Trans. Intell. Syst. Technol. 12(4): 49:1-49:25 (2021) - [j24]Yiqun Xie, Xiaowei Jia, Shashi Shekhar, Han Bao, Xun Zhou:
Significant DBSCAN+: Statistically Robust Density-based Clustering. ACM Trans. Intell. Syst. Technol. 12(5): 62:1-62:26 (2021) - [j23]Amin Vahedian Khezerlou, Xun Zhou, Ling Tong, Yanhua Li, Jun Luo:
Forecasting Gathering Events through Trajectory Destination Prediction: A Dynamic Hybrid Model. IEEE Trans. Knowl. Data Eng. 33(3): 991-1004 (2021) - [j22]Yichen Ding, Xun Zhou, Guojun Wu, Yanhua Li, Jie Bao, Yu Zheng, Jun Luo:
Mining Spatio-Temporal Reachable Regions With Multiple Sources over Massive Trajectory Data. IEEE Trans. Knowl. Data Eng. 33(7): 2930-2942 (2021) - [c38]Menghai Pan, Xin Zhang, Yanhua Li, Xun Zhou, Jun Luo:
Learning Decision Making Strategies of Non-experts: A NEXT-GAIL Model for Taxi Drivers. SIGSPATIAL/GIS 2021: 149-158 - [c37]Yiqun Xie, Xiaowei Jia, Han Bao, Xun Zhou, Jia Yu, Rahul Ghosh, Praveen Ravirathinam:
Spatial-Net: A Self-Adaptive and Model-Agnostic Deep Learning Framework for Spatially Heterogeneous Datasets. SIGSPATIAL/GIS 2021: 313-323 - [c36]Amin Vahedian, Xun Zhou:
Precise Bayes Classifier: Summary of Results. ICDM 2021: 649-658 - [c35]Yiqun Xie, Erhu He, Xiaowei Jia, Han Bao, Xun Zhou, Rahul Ghosh, Praveen Ravirathinam:
A Statistically-Guided Deep Network Transformation and Moderation Framework for Data with Spatial Heterogeneity. ICDM 2021: 767-776 - [c34]Xin Zhang, Yanhua Li, Xun Zhou, Oren Mangoubi, Ziming Zhang, Vincent Filardi, Jun Luo:
DAC-ML: Domain Adaptable Continuous Meta-Learning for Urban Dynamics Prediction. ICDM 2021: 906-915 - [c33]Ziming Zhang, Guojun Wu, Yanhua Li, Yun Yue, Xun Zhou:
Deep Incremental RNN for Learning Sequential Data: A Lyapunov Stable Dynamical System. ICDM 2021: 966-975 - [c32]Yingxue Zhang, Yanhua Li, Xun Zhou, Zhenming Liu, Jun Luo:
C3-GAN: Complex-Condition-Controlled Urban Traffic Estimation through Generative Adversarial Networks. ICDM 2021: 1505-1510 - [c31]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 - 2020
- [j21]Liang Wang, Xiaolong Xue, Xun Zhou:
A New Approach for Measuring the Resilience of Transport Infrastructure Networks. Complex. 2020: 7952309:1-7952309:16 (2020) - [j20]Amr Magdy, Xun Zhou, Daniel B. Neill:
Guest Editorial: Special Issue on Analytics for Local Events and News. GeoInformatica 24(2): 267-268 (2020) - [j19]Xun Zhou, Huigui Rong, Chang Yang, Qun Zhang, Amin Vahedian Khezerlou, Hui Zheng, Zubair Shafiq, Alex X. Liu:
Optimizing Taxi Driver Profit Efficiency: A Spatial Network-Based Markov Decision Process Approach. IEEE Trans. Big Data 6(1): 145-158 (2020) - [j18]Yiqun Xie, Xun Zhou, Shashi Shekhar:
Discovering Interesting Subpaths with Statistical Significance from Spatiotemporal Datasets. ACM Trans. Intell. Syst. Technol. 11(1): 2:1-2:24 (2020) - [j17]Menghai Pan, Weixiao Huang, Yanhua Li, Xun Zhou, Zhenming Liu, Rui Song, Hui Lu, Zhihong Tian, Jun Luo:
DHPA: Dynamic Human Preference Analytics Framework: A Case Study on Taxi Drivers' Learning Curve Analysis. ACM Trans. Intell. Syst. Technol. 11(1): 8:1-8:19 (2020) - [j16]Xiangyu Wang, Kang Zhao, Xun Zhou, W. Nick Street:
Predicting User Posting Activities in Online Health Communities with Deep Learning. ACM Trans. Manag. Inf. Syst. 11(3): 12:1-12:15 (2020) - [c30]Han Bao, Xun Zhou, Yingxue Zhang, Yanhua Li, Yiqun Xie:
COVID-GAN: Estimating Human Mobility Responses to COVID-19 Pandemic through Spatio-Temporal Conditional Generative Adversarial Networks. SIGSPATIAL/GIS 2020: 273-282 - [c29]Yichen Ding, Xun Zhou, Han Bao, Yanhua Li, Cara Hamann, Steven Spears, Zhuoning Yuan:
Cycling-Net: A Deep Learning Approach to Predicting Cyclist Behaviors from Geo-Referenced Egocentric Video Data. SIGSPATIAL/GIS 2020: 337-346 - [c28]Menghai Pan, Weixiao Huang, Yanhua Li, Xun Zhou, Zhenming Liu, Jie Bao, Yu Zheng, Jun Luo:
Is Reinforcement Learning the Choice of Human Learners?: A Case Study of Taxi Drivers. SIGSPATIAL/GIS 2020: 357-366 - [c27]Xin Zhang, Yanhua Li, Xun Zhou, Ziming Zhang, Jun Luo:
TrajGAIL: Trajectory Generative Adversarial Imitation Learning for Long-term Decision Analysis. ICDM 2020: 801-810 - [c26]Yingxue Zhang, Yanhua Li, Xun Zhou, Jun Luo:
cST-ML: Continuous Spatial-Temporal Meta-Learning for Traffic Dynamics Prediction. ICDM 2020: 1418-1423 - [c25]Yingxue Zhang, Yanhua Li, Xun Zhou, Xiangnan Kong, Jun Luo:
Curb-GAN: Conditional Urban Traffic Estimation through Spatio-Temporal Generative Adversarial Networks. KDD 2020: 842-852 - [c24]Huimin Ren, Menghai Pan, Yanhua Li, Xun Zhou, Jun Luo:
ST-SiameseNet: Spatio-Temporal Siamese Networks for Human Mobility Signature Identification. KDD 2020: 1306-1315 - [c23]Menghai Pan, Weixiao Huang, Yanhua Li, Xun Zhou, Jun Luo:
xGAIL: Explainable Generative Adversarial Imitation Learning for Explainable Human Decision Analysis. KDD 2020: 1334-1343 - [c22]Mingzhou Yang, Yanhua Li, Xun Zhou, Hui Lu, Zhihong Tian, Jun Luo:
Inferring Passengers' Interactive Choices on Public Transits via MA-AL: Multi-Agent Apprenticeship Learning. WWW 2020: 1637-1647
2010 – 2019
- 2019
- [j15]Tongxin Zhu, Tuo Shi, Jianzhong Li, Zhipeng Cai, Xun Zhou:
Task Scheduling in Deadline-Aware Mobile Edge Computing Systems. IEEE Internet Things J. 6(3): 4854-4866 (2019) - [j14]Song Gao, Shawn D. Newsam, Liang Zhao, Dalton D. Lunga, Yingjie Hu, Bruno Martins, Xun Zhou, Feng Chen:
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 11(3): 23-24 (2019) - [j13]Yichen Ding, Yanhua Li, Xun Zhou, Zhuojie Huang, Simin You, Jun Luo:
Sampling Big Trajectory Data for Traversal Trajectory Aggregate Query. IEEE Trans. Big Data 5(4): 550-563 (2019) - [c21]Amin Vahedian, Xun Zhou, Ling Tong, W. Nick Street, Yanhua Li:
Predicting Urban Dispersal Events: A Two-Stage Framework through Deep Survival Analysis on Mobility Data. AAAI 2019: 5199-5206 - [c20]Zhengcong Yin, Haoyi Xiong, Xun Zhou, Daniel W. Goldberg, David A. Bennett, Chong Zhang:
A Deep Learning based Illegal Parking Detection Platform. GeoAI@SIGSPATIAL 2019: 32-35 - [c19]Yingxue Zhang, Yanhua Li, Xun Zhou, Xiangnan Kong, Jun Luo:
TrafficGAN: Off-Deployment Traffic Estimation with Traffic Generative Adversarial Networks. ICDM 2019: 1474-1479 - [c18]Xin Zhang, Yanhua Li, Xun Zhou, Jun Luo:
Unveiling Taxi Drivers' Strategies via cGAIL: Conditional Generative Adversarial Imitation Learning. ICDM 2019: 1480-1485 - [c17]Menghai Pan, Yanhua Li, Xun Zhou, Zhenming Liu, Rui Song, Hui Lu, Jun Luo:
Dissecting the Learning Curve of Taxi Drivers: A Data-Driven Approach. SDM 2019: 783-791 - [e4]Song Gao, Shawn D. Newsam, Liang Zhao, Dalton D. Lunga, Yingjie Hu, Bruno Martins, Xun Zhou, Feng Chen:
Proceedings of the 3rd ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, GeoAI@SIGSPATIAL 2019, Chicago, IL, USA, November 5, 2019. ACM 2019, ISBN 978-1-4503-6957-2 [contents] - [i3]Amin Vahedian, Xun Zhou, Ling Tong, W. Nick Street, Yanhua Li:
Predicting Urban Dispersal Events: A Two-Stage Framework through Deep Survival Analysis on Mobility Data. CoRR abs/1905.01281 (2019) - 2018
- [j12]Dixian Zhu, Changjie Cai, Tianbao Yang, Xun Zhou:
A Machine Learning Approach for Air Quality Prediction: Model Regularization and Optimization. Big Data Cogn. Comput. 2(1): 5 (2018) - [j11]Michael T. Lash, Min Zhang, Xun Zhou, W. Nick Street, Charles F. Lynch:
Deriving enhanced geographical representations via similarity-based spectral analysis: predicting colorectal cancer survival curves in Iowa. Int. J. Data Min. Bioinform. 21(3): 183-211 (2018) - [j10]Amr Magdy, Xun Zhou, Liang Zhao, Yan Huang:
2nd ACM SIGSPATIAL workshop on analytics for local events and news (LENS 2018) seattle, washington, USA - November 6, 2018. ACM SIGSPATIAL Special 10(3): 21-22 (2018) - [c16]Haoyi Xiong, Amin Vahedian, Xun Zhou, Yanhua Li, Jun Luo:
Predicting Traffic Congestion Propagation Patterns: A Propagation Graph Approach. IWCTS@SIGSPATIAL 2018: 60-69 - [c15]Zhuoning Yuan, Xun Zhou, Tianbao Yang:
Hetero-ConvLSTM: A Deep Learning Approach to Traffic Accident Prediction on Heterogeneous Spatio-Temporal Data. KDD 2018: 984-992 - [c14]Xiaoxuan Zhang, Mingrui Liu, Xun Zhou, Tianbao Yang:
Faster Online Learning of Optimal Threshold for Consistent F-measure Optimization. NeurIPS 2018: 3893-3903 - [e3]Amr Magdy, Xun Zhou, Liang Zhao, Yan Huang:
Proceedings of the 2nd ACM SIGSPATIAL Workshop on Analytics for Local Events and News, SIGSPATIAL 2018, Seattle, WA, USA, November 6, 2018. ACM 2018, ISBN 978-1-4503-6035-7 [contents] - [i2]Michael T. Lash, Min Zhang, Xun Zhou, W. Nick Street, Charles F. Lynch:
Deriving Enhanced Geographical Representations via Similarity-based Spectral Analysis: Predicting Colorectal Cancer Survival Curves in Iowa. CoRR abs/1809.03323 (2018) - 2017
- [j9]Amr Magdy, Xun Zhou, Yan Huang:
1st ACM SIGSPATIAL Workshop on Analytics for Local Events and News (LENS 2017): Redondo Beach, California, USA - November 7, 2017. ACM SIGSPATIAL Special 9(3): 28-29 (2017) - [j8]Amin Vahedian Khezerlou, Xun Zhou, Lufan Li, Zubair Shafiq, Alex X. Liu, Fan Zhang:
A Traffic Flow Approach to Early Detection of Gathering Events: Comprehensive Results. ACM Trans. Intell. Syst. Technol. 8(6): 74:1-74:24 (2017) - [c13]Michael T. Lash, Yuqi Sun, Xun Zhou, Charles F. Lynch, W. Nick Street:
Learning rich geographical representations: Predicting colorectal cancer survival in the state of Iowa. BIBM 2017: 778-785 - [c12]Amin Vahedian, Xun Zhou, Ling Tong, Yanhua Li, Jun Luo:
Forecasting Gathering Events through Continuous Destination Prediction on Big Trajectory Data. SIGSPATIAL/GIS 2017: 34:1-34:10 - [e2]Amr Magdy, Xun Zhou, Yan Huang:
Proceedings of the 1st ACM SIGSPATIAL Workshop on Analytics for Local Events and News, Redondo Beach, CA, USA, November 7-10, 2017. ACM 2017, ISBN 978-1-4503-5500-1 [contents] - [e1]Shashi Shekhar, Hui Xiong, Xun Zhou:
Encyclopedia of GIS. Springer 2017, ISBN 978-3-319-17884-4 [contents] - [r1]Xun Zhou, Shashi Shekhar, Reem Y. Ali:
Spatiotemporal Change Footprint Pattern Discovery. Encyclopedia of GIS 2017: 2133-2148 - [i1]Michael T. Lash, Yuqi Sun, Xun Zhou, Charles F. Lynch, W. Nick Street:
Learning Rich Geographical Representations: Predicting Colorectal Cancer Survival in the State of Iowa. CoRR abs/1708.04714 (2017) - 2016
- [c11]Huigui Rong, Xun Zhou, Chang Yang, M. Zubair Shafiq, Alex X. Liu:
The Rich and the Poor: A Markov Decision Process Approach to Optimizing Taxi Driver Revenue Efficiency. CIKM 2016: 2329-2334 - [c10]Xun Zhou, Amin Vahedian Khezerlou, Alex X. Liu, M. Zubair Shafiq, Fan Zhang:
A traffic flow approach to early detection of gathering events. SIGSPATIAL/GIS 2016: 4:1-4:10 - 2015
- [j7]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) - [j6]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) - 2014
- [j5]Sushil K. Prasad, Michael McDermott, Satish Puri, Dhara Shah, Danial Aghajarian, Shashi Shekhar, Xun Zhou:
A vision for GPU-accelerated parallel computation on geo-spatial datasets. ACM SIGSPATIAL Special 6(3): 19-26 (2014) - [j4]Xun Zhou, Shashi Shekhar, Reem Y. Ali:
Spatiotemporal change footprint pattern discovery: an inter-disciplinary survey. WIREs Data Mining Knowl. Discov. 4(1): 1-23 (2014) - [c9]Dev Oliver, Shashi Shekhar, Xun Zhou, Emre Eftelioglu, Michael R. Evans, Qiaodi Zhuang, James M. Kang, Renee Laubscher, Christopher Farah:
Significant Route Discovery: A Summary of Results. GIScience 2014: 284-300 - [c8]Emre Eftelioglu, Shashi Shekhar, Dev Oliver, Xun Zhou, Michael R. Evans, Yiqun Xie, James M. Kang, Renee Laubscher, Christopher Farah:
Ring-Shaped Hotspot Detection: A Summary of Results. ICDM 2014: 815-820 - 2013
- [j3]Mohamed Sarwat, Mohamed F. Mokbel, Xun Zhou, Suman Nath:
Generic and efficient framework for search trees on flash memory storage systems. GeoInformatica 17(3): 417-448 (2013) - [c7]Xun Zhou, Shashi Shekhar, Dev Oliver:
Discovering persistent change windows in spatiotemporal datasets: a summary of results. BigSpatial@SIGSPATIAL 2013: 37-46 - [c6]Sushil K. Prasad, Shashi Shekhar, Michael McDermott, Xun Zhou, Michael R. Evans, Satish Puri:
GPGPU-accelerated interesting interval discovery and other computations on GeoSpatial datasets: a summary of results. BigSpatial@SIGSPATIAL 2013: 65-72 - [c5]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
- [j2]Shashi Shekhar, KwangSoo Yang, Venkata M. V. Gunturi, Lydia Manikonda, Dev Oliver, Xun Zhou, Betsy George, Sangho Kim, Jeffrey M. R. Wolff, Qingsong Lu:
Experiences with evacuation route planning algorithms. Int. J. Geogr. Inf. Sci. 26(12): 2253-2265 (2012) - [c4]Pradeep Mohan, Xun Zhou, Shashi Shekhar:
Quantifying Resolution Sensitivity of Spatial Autocorrelation: A Resolution Correlogram Approach. GIScience 2012: 132-145 - 2011
- [c3]Xun Zhou, Shashi Shekhar, Pradeep Mohan, Stefan Liess, Peter K. Snyder:
Discovering interesting sub-paths in spatiotemporal datasets: a summary of results. GIS 2011: 44-53 - [c2]Mohamed Sarwat, Mohamed F. Mokbel, Xun Zhou, Suman Nath:
FAST: A Generic Framework for Flash-Aware Spatial Trees. SSTD 2011: 149-167 - 2010
- [j1]Xun Zhou, Betsy George, Sangho Kim, Jeffrey M. R. Wolff, Qingsong Lu, Shashi Shekhar:
Evacuation Planning: A Spatial Network Database Approach. IEEE Data Eng. Bull. 33(2): 26-31 (2010)
2000 – 2009
- 2007
- [c1]Xun Zhou, Shengfei Shi, Jizhou Luo, Wei Zhang:
Lifetime Optimized Methods of Correlated Data Gathering on Sensor Networks. SNPD (2) 2007: 3-8
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 2025-10-16 03:20 CEST 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:
