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2020 – today
- 2023
[j53]Xun Zhou
, Miaomiao Liu, Bo Dong, Weizhong Li, Kunfeng Liang:
Effects of prefilmer edge configuration on primary liquid film breakup: A lattice Boltzmann study. Comput. Math. Appl. 146: 33-44 (2023)- [j52]Sheng Dai, Timo Kuosmanen, Xun Zhou:
Generalized quantile and expectile properties for shape constrained nonparametric estimation. Eur. J. Oper. Res. 310(2): 914-927 (2023) - [j51]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) - [j50]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) - [j49]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) - [j48]Chen Liu, Degang Yang, Liu Tang, Xun Zhou, Yi Deng:
A Lightweight Object Detector Based on Spatial-Coordinate Self-Attention for UAV Aerial Images. Remote. Sens. 15(1): 83 (2023) - [c75]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 - [c74]Xun Zhou, Wujin Sun, Xiaodong Shi:
A High-Quality Melody-Aware Peking Opera Synthesizer Using Data Augmentation. ICME 2023: 1092-1097 - [c73]Xun Zhou, Songbai Liu, Ka-Chun Wong, Qiuzhen Lin, Kay Chen Tan:
A Hybrid Search Method for Accelerating Convolutional Neural Architecture Search. ICMLC 2023: 177-182 - [c72]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 - [c71]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 - [c70]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 - [i14]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) - [i13]Shen Zheng, Yuyu Zhang, Yijie Zhu, Chenguang Xi, Pengyang Gao, Xun Zhou, Kevin Chen-Chuan Chang:
GPT-Fathom: Benchmarking Large Language Models to Decipher the Evolutionary Path towards GPT-4 and Beyond. CoRR abs/2309.16583 (2023) - [i12]Bang An, Xun Zhou, Yongjian Zhong, Tianbao Yang:
SpatialRank: Urban Event Ranking with NDCG Optimization on Spatiotemporal Data. CoRR abs/2310.00270 (2023) - [i11]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
- [j47]Yaojia Chen, Yuxin Gong, Lijun Dou, Xun Zhou, Ying Zhang:
Bioinformatics analysis methods for cell-free DNA. Comput. Biol. Medicine 143: 105283 (2022) - [j46]Hua Shi, Yan Li, Yi Chen, Yuming Qin, Yifan Tang, Xun Zhou, Ying Zhang, Yun Wu:
ToxMVA: An end-to-end multi-view deep autoencoder method for protein toxicity prediction. Comput. Biol. Medicine 151(Part): 106322 (2022) - [j45]Xun Zhou, Bo Dong, Weizhong Li, Kunfeng Liang:
Lattice Boltzmann modeling of primary liquid film breakup at the prefilmer edge: Effects of surface wettability. Comput. Math. Appl. 109: 146-157 (2022) - [j44]Hongwei Chen, Xun Zhou, Dewei Shi:
A Chaotic Antlion Optimization Algorithm for Text Feature Selection. Int. J. Comput. Intell. Syst. 15(1): 41 (2022) - [j43]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) - [j42]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) - [j41]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) - [j40]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) - [c69]Wenqiao Zhu, Yesheng Xu, Xin Huang, Qiyang Min, Xun Zhou:
Spherical Graph Embedding for Item Retrieval in Recommendation System. CIKM 2022: 4752-4756 - [c68]Xun Zhou, Hongwei Chen, Dewei Shi:
A chaotic parallel antlion optimization algorithm for feature selection. GECCO Companion 2022: 97-99 - [c67]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 - [c66]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 - [c65]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 - [c64]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 - [c63]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 - [c62]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 - [c61]Xun Zhou, Zhiyang Zhou, Xiaodong Shi:
FCH-TTS: Fast, Controllable and High-quality Non-Autoregressive Text-to-Speech Synthesis. IJCNN 2022: 1-8 - [c60]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 - [c59]Ronilo J. Ragodos, Tong Wang, Qihang Lin, Xun Zhou:
ProtoX: Explaining a Reinforcement Learning Agent via Prototyping. NeurIPS 2022 - [c58]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 - [i10]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) - [i9]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) - [i8]Ronilo J. Ragodos, Tong Wang, Qihang Lin, Xun Zhou:
ProtoX: Explaining a Reinforcement Learning Agent via Prototyping. CoRR abs/2211.03162 (2022) - 2021
- [j39]Xiang An, Bo Dong, Weizhong Li, Xun Zhou, Tao Sun:
Simulation of binary droplet collision with different angles based on a pseudopotential multiple-relaxation-time lattice Boltzmann model. Comput. Math. Appl. 92: 76-87 (2021) - [j38]Timo Kuosmanen, Xun Zhou:
Shadow prices and marginal abatement costs: Convex quantile regression approach. Eur. J. Oper. Res. 289(2): 666-675 (2021) - [j37]Xun Zhou, A. Kai Qin, Maoguo Gong, Kay Chen Tan:
A Survey on Evolutionary Construction of Deep Neural Networks. IEEE Trans. Evol. Comput. 25(5): 894-912 (2021) - [j36]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) - [j35]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) - [j34]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) - [j33]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) - [c57]Balal Mian, Vladislav Toronov, Xun Zhou, Yeni H. Yucel:
Optimizing Photoacoustic Tomography: Lymphatic Drainage from the Brain in Pigmented Mice. BIOMESIP 2021: 13-24 - [c56]Xun Zhou, A. Kai Qin, Yanan Sun, Kay Chen Tan:
A Survey of Advances in Evolutionary Neural Architecture Search. CEC 2021: 950-957 - [c55]Hongwei Chen, Honglin Zhou, Meiying Li, Hui Xu, Xun Zhou:
Application of Distributed Seagull Optimization Improved Algorithm in Sentiment Tendency Prediction. CISIS 2021: 90-99 - [c54]Hongwei Chen, Dewei Shi, Xun Zhou, Fengzhou Zhang:
A Research on the Application of Adaptive Rotation Deep Forest on Low Dimensional Datasets. EITCE 2021: 1194-1200 - [c53]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 - [c52]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 - [c51]Yanqing Lin, Xun Zhou, Wenjie Fan:
How Do Customers Respond to Robotic Service? A Scenario-Based Study from the Perspective of Uncertainty Reduction Theory. HICSS 2021: 1-10 - [c50]Amin Vahedian, Xun Zhou:
Precise Bayes Classifier: Summary of Results. ICDM 2021: 649-658 - [c49]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 - [c48]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 - [c47]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 - [c46]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 - [c45]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
- [j32]Liang Wang, Xiaolong Xue, Xun Zhou:
A New Approach for Measuring the Resilience of Transport Infrastructure Networks. Complex. 2020: 7952309:1-7952309:16 (2020) - [j31]Xun Zhou, Timo Kuosmanen:
What drives decarbonization of new passenger cars? Eur. J. Oper. Res. 284(3): 1043-1057 (2020) - [j30]Amr Magdy, Xun Zhou, Daniel B. Neill:
Guest Editorial: Special Issue on Analytics for Local Events and News. GeoInformatica 24(2): 267-268 (2020) - [j29]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) - [j28]Yuebin Wang, Xun Zhou, Honglei Yang, Liqiang Zhang, Suhong Liu, Faqiang Wang, Xingang Li, P. Takis Mathiopoulos:
Supervised High-Level Feature Learning With Label Consistencies for Object Recognition. IEEE Trans. Geosci. Remote. Sens. 58(7): 4501-4516 (2020) - [j27]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) - [j26]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) - [j25]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) - [c44]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 - [c43]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 - [c42]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 - [c41]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 - [c40]Yingxue Zhang, Yanhua Li, Xun Zhou, Jun Luo:
cST-ML: Continuous Spatial-Temporal Meta-Learning for Traffic Dynamics Prediction. ICDM 2020: 1418-1423 - [c39]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 - [c38]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 - [c37]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 - [c36]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
- [j24]Xun Zhou, Xuelian Cai, Yuehang Bu, Xi Zheng, Jiong Jin, Tom H. Luan, Changle Li:
When Road Information Meets Data Mining: Precision Detection for Heading and Width of Roads. IEEE Access 7: 60399-60410 (2019) - [j23]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) - [j22]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) - [j21]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) - [c35]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 - [c34]Shen Xin, Martin Ester, Jiajun Bu, Chengwei Yao, Zhao Li, Xun Zhou, Yizhou Ye, Can Wang:
Multi-task based Sales Predictions for Online Promotions. CIKM 2019: 2823-2831 - [c33]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 - [c32]Yingxue Zhang, Yanhua Li, Xun Zhou, Xiangnan Kong, Jun Luo:
TrafficGAN: Off-Deployment Traffic Estimation with Traffic Generative Adversarial Networks. ICDM 2019: 1474-1479 - [c31]Xin Zhang, Yanhua Li, Xun Zhou, Jun Luo:
Unveiling Taxi Drivers' Strategies via cGAIL: Conditional Generative Adversarial Imitation Learning. ICDM 2019: 1480-1485 - [c30]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] - [i7]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
- [j20]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) - [j19]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) - [j18]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) - [c29]Haoyi Xiong, Amin Vahedian, Xun Zhou, Yanhua Li, Jun Luo:
Predicting Traffic Congestion Propagation Patterns: A Propagation Graph Approach. IWCTS@SIGSPATIAL 2018: 60-69 - [c28]Anqi Liu, Changle Li, Wenwei Yue, Xun Zhou:
Real-Time Traffic Prediction: A Novel Imputation Optimization Algorithm with Missing Data. GLOBECOM 2018: 1-7 - [c27]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 - [c26]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] - [i6]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
- [j17]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) - [j16]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) - [c25]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 - [c24]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 - [c23]Xun Zhou, Changle Li, Zhe Liu, Tom H. Luan, Zhifang Miao, Lina Zhu, Lei Xiong:
See the near future: A short-term predictive methodology to traffic load in ITS. ICC 2017: 1-6 - [c22]Siqie Zhang, Changle Li, Xun Zhou:
A Novel Approach for Mining Road Information from Low Precision GPS Data. NaNA 2017: 268-273 - [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 - [i5]Xun Zhou, Changle Li, Zhe Liu, Tom H. Luan, Zhifang Miao, Lina Zhu, Lei Xiong:
See the Near Future: A Short-Term Predictive Methodology to Traffic Load in ITS. CoRR abs/1701.01917 (<