A collection of research papers on spatio-temporal data mining .
A Survey on Modern Deep Neural Network for Traffic Prediction: Trends, Methods and Challenges. David Alexander Tedjopurnomo, Zhifeng Bao, Baihua Zheng, Farhana Choudhury, AK Qin. IEEE Transactions on Knowledge and Data Engineering 2020. [paper]
A Comprehensive Survey on Traffic Prediction. Xueyan Yin, Genze Wu, Jinze Wei, Yanming Shen, Heng Qi, Baocai Yin. CoRR abs/2004.08555 (2020). [paper]
Urban flow prediction from spatiotemporal data using machine learning: A survey. Peng Xie, Tianrui Li, Jia Liu, Shengdong Du, Xin Yang, Junbo Zhang. Inf. Fusion 59: 1-12 (2020). [paper]
How to Build a Graph-Based Deep Learning Architecture in Traffic Domain: A Survey. Jiexia Ye, Juanjuan Zhao, Kejiang Ye, Chengzhong Xu. CoRR abs/2005.11691 (2020). [paper]
Urban big data fusion based on deep learning: An overview. Jia Liu, Tianrui Li, Peng Xie, Shengdong Du, Fei Teng, Xin Yang. Inf. Fusion 53: 123-133 (2020). [paper]
Deep Learning for Spatio-Temporal Data Mining: A Survey. Senzhang Wang, Jiannong Cao, and Philip S. Yu. arXiv preprint arXiv:1906.04928. [paper]
Big data analytics in intelligent transportation systems: A survey. Li Zhu, Fei Richard Yu, Yige Wang, Bin Ning, Tao Tang. IEEE Transactions on Intelligent Transportation Systems 20, no. 1(2019): 383-398. [paper]
Spatio-temporal data mining: A survey of problems and methods. Atluri, Gowtham, Anuj Karpatne, and Vipin Kumar. ACM Computing Surveys (CSUR) 51, no. 4 (2018): 1-41. [paper]
Survey on traffic prediction in smart cities. Attila M Nagy, Vilmos Simon. Pervasive and Mobile Computing 50: 148-163 (2018). [paper]
Spatio-Temporal Change Detection Using Granger Sequence Pattern. Nat Pavasant, Masayuki Numao, Ken-ichi Fukui. IJCAI 2020. [paper]
A Spatial Missing Value Imputation Method for Multi-view Urban Statistical Data. Yongshun Gong, Zhibin Li, Jian Zhang, Wei Liu, Bei Chen, Xiangjun Dong. IJCAI 2020. [paper]
Temporal Attribute Prediction via Joint Modeling of Multi-Relational Structure Evolution. Sankalp Garg, Navodita Sharma, Woojeong Jin, Xiang Ren. IJCAI 2020. [paper]
LSGCN: Long Short-Term Traffic Prediction with Graph Convolutional Networks. Rongzhou Huang, Chuyin Huang, Yubao Liu, Genan Dai, Weiyang Kong. IJCAI 2020. [paper]
Towards Alleviating Traffic Congestion: Optimal Route Planning for Massive-Scale Trips. Ke Li, Lisi Chen, Shuo Shang. IJCAI 2020. [paper]
MaCAR: Urban Traffic Light Control via Active Multi-agent Communication and Action Rectification. Zhengxu Yu, Shuxian Liang, Long Wei, Zhongming Jin, Jianqiang Huang, Deng Cai, Xiaofei He, Xian-Sheng Hua. IJCAI 2020. [paper]
Trajectory Similarity Learning with Auxiliary Supervision and Optimal Matching. Hanyuan Zhang, Xinyu Zhang, Qize Jiang, Baihua Zheng, Zhenbang Sun, Weiwei Sun, Changhu Wang. IJCAI 2020. [paper]
Enhancing Urban Flow Maps via Neural ODEs. Fan Zhou, Liang Li, Ting Zhong, Goce Trajcevski, Kunpeng Zhang, Jiahao Wang. IJCAI 2020. [paper]
Multi-View Joint Graph Representation Learning for Urban Region Embedding. Mingyang Zhang, Tong Li, Yong Li, Pan Hui. IJCAI 2020. [paper]
Cross-Interaction Hierarchical Attention Networks for Urban Anomaly Prediction. Chao Huang, Chuxu Zhang, Peng Dai, Liefeng Bo. IJCAI 2020. [paper]
A Sequential Convolution Network for Population Flow Prediction with Explicitly Correlation Modelling. Jie Feng, Ziqian Lin, Tong Xia, Funing Sun, Diansheng Guo, Yong Li. IJCAI 2020. [paper]
Multi-Group Encoder-Decoder Networks to Fuse Heterogeneous Data for Next-Day Air Quality Prediction. Yawen Zhang, Qin Lv, Duanfeng Gao, Si Shen, Robert P Dick, Michael Hannigan, Qi Liu. IJCAI 2019. [paper]
Cross-City Transfer Learning for Deep Spatio-Temporal Prediction. Leye Wang, Xu Geng, Xiaojuan Ma, Feng Liu, Qiang Yang. IJCAI 2019. [paper]
Spatio-Temporal Attentive RNN for Node Classification in Temporal Attributed Graphs. Dongkuan Xu, Wei Cheng, Dongsheng Luo, Xiao Liu, Xiang Zhang. IJCAI 2019. [paper]
STG2Seq: Spatial-Temporal Graph to Sequence Model for Multi-step Passenger Demand Forecasting. Lei Bai, Lina Yao, Salil S. Kanhere. IJCAI 2019. [paper]
GSTNet: Global Spatial-Temporal Network for Traffic Flow Prediction. Shen Fang, Qi Zhang, Gaofeng Meng, Shiming Xiang, Chunhong Pan. IJCAI 2019. [paper]
Graph WaveNet for Deep Spatial-Temporal Graph Modeling. Zonghan Wu, Guodong Long, Chengqi Zhang. IJCAI 2019. [paper]
AddGraph: Anomaly Detection in Dynamic Graph Using Attention-based Temporal GCN. Li Zheng, Zhenpeng Li, Jian Li, Zhao Li, Jun Gao. IJCAI 2019. [paper]
Travel Time Estimation without Road Networks: An Urban Morphological Layout Representation Approach. Wuwei Lan, Yanyan Xu, Bin Zhao. IJCAI 2019. [paper]
A Decomposition Approach for Urban Anomaly Detection Across Spatiotemporal Data. Mingyang Zhang, Tong Li, Hongzhi Shi, Yong Li , Pan Hui. IJCAI 2019. [paper]
Exploiting Graph Regularized Multi-dimensional Hawkes Processes for Modeling Events with Spatio-temporal Characteristics. Yanchi Liu, Tan Yan, Haifeng Chen. IJCAI 2018. [paper]
Predicting the Spatio-Temporal Evolution of Chronic Diseases in Population with Human Mobility Data. Yingzi Wang, Xiao Zhou, Anastasios Noulas, Cecilia Mascolo, Xing Xie, Enhong Chen. IJCAI 2018. [paper]
MUSCAT: Multi-Scale Spatio-Temporal Learning with Application to Climate Modeling. Jianpeng Xu, Xi Liu, Tyler Wilson, Pang-Ning Tan, Pouyan Hatami, Lifeng Luo. IJCAI 2018. [paper]
Spatio-Temporal Check-in Time Prediction with Recurrent Neural Network based Survival Analysis. Guolei Yang, Ying Cai, Chandan K. Reddy. IJCAI 2018. [paper]
Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting. Bing Yu, Haoteng Yin, Zhanxing Zhu. IJCAI 2018. [paper]
HST-LSTM: A Hierarchical Spatial-Temporal Long-Short Term Memory Network for Location Prediction. Dejiang Kong, Fei Wu. IJCAI 2018. [paper]
LC-RNN: A Deep Learning Model for Traffic Speed Prediction. Zhongjian Lv, Jiajie Xu, Kai Zheng, Hongzhi Yin, Pengpeng Zhao, Xiaofang Zhou. IJCAI 2018. [paper]
Trajectory-User Linking via Variational AutoEncoder. Fan Zhou, Goce Trajcevski, Ting Zhong, Fengli Zhang. IJCAI 2018. [paper]
Representing Urban Functions through Zone Embedding with Human Mobility Patterns. Zijun Yao, Yanjie Fu, Bin Liu, Wangsu Hu, Hui Xiong. IJCAI 2018. [paper]
A Fast and Accurate Method for Estimating People Flow from Spatiotemporal Population Data. Yasunori Akagi, Takuya Nishimura , Takeshi Kurashima, Hiroyuki Toda. IJCAI 2018. [paper]
Estimating Latent People Flow without Tracking Individuals. Tomoharu Iwata, Takeshi Kurashima, Hiroyuki Toda, Naonori Ueda. IJCAI 2018. [paper]
Identifying Human Mobility via Trajectory Embeddings. Fan Zhou , Kunpeng Zhang, Goce Trajcevski, Xucheng Luo, Fengli Zhang. IJCAI 2017. [paper]
Understanding People Lifestyles: Construction of Urban Movement Knowledge Graph from GPS Trajectory. Nicholas Jing Yuan, Ruihua Song, Xing Xie, Qiang Ma. IJCAI 2017. [paper]
Urban Water Quality Prediction Based on Multi-Task Multi-View Learning. Ye Liu, Yu Zheng, Yuxuan Liang, Shuming Liu, David S. Rosenblum. IJCAI 2016. [paper]
Learning Effective Road Network Representation with Hierarchical Graph Neural Networks. Ning Wu, Wayne Xin Zhao, Jingyuan Wang, Dayan Pan. KDD 2020. [paper]
Preserving Dynamic Attention for Long-Term Spatial-Temporal Prediction. Haoxing Lin, Rufan Bai, Weijia Jia, Xinyu Yang, Yongjian You. KDD 2020. [paper]
Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks. Zonghan Wu, Shirui Pan, Guodong Long, Jing Jiang, Xiaojun Chang, Chengqi Zhang. KDD 2020. [paper]
AutoST: Efficient Neural Architecture Search for Spatio-Temporal Prediction. Ting Li, Junbo Zhang, Kainan Bao, Yuxuan Liang, Yexin Li, Yu Zheng. KDD 2020. [paper]
Curb-GAN: Conditional Urban Traffic Estimation through Spatio-Temporal Generative Adversarial Networks. Yingxue Zhang, Yanhua Li, Xun Zhou, Xiangnan Kong, Jun Luo. KDD 2020. [paper]
Incremental Mobile User Profiling: Reinforcement Learning with Spatial Knowledge Graph for Modeling Event Streams. Pengyang Wang, Kunpeng Liu, Lu Jiang, Xiaolin Li, Yanjie Fu. KDD 2020. [paper]
Competitive Analysis for Points of Interest. Shuangli Li, Jingbo Zhou, Tong Xu, Hao Liu, Xinjiang Lu, Hui Xiong. KDD 2020. [paper]
ST-SiameseNet: Spatio-Temporal Siamese Networks for Human Mobility Signature Identification. Huimin Ren, Menghai Pan, Yanhua Li, Xun Zhou, Jun Luo. KDD 2020. [paper]
Heidegger: Interpretable Temporal Causal Discovery. Mehrdad Mansouri, Ali Arab, Zahra Zohrevand, Martin Ester. KDD 2020. [paper]
Multi-Source Deep Domain Adaptation with Weak Supervision for Time-Series Sensor Data. Garrett Wilson, Janardhan Rao Doppa, Diane J. Cook. KDD 2020. [paper]
Geography-Aware Sequential Location Recommendation. Defu Lian, Yongji Wu, Yong Ge, Xing Xie, Enhong Chen. KDD 2020. [paper]
Fast RobustSTL: Efficient and Robust Seasonal-Trend Decomposition for Time Series with Complex Patterns. Qingsong Wen, Zhe Zhang, Yan Li, Liang Sun. KDD 2020. [paper]
Polestar: An Intelligent, Efficient and National-Wide Public Transportation Routing Engine. Hao Liu, Ying Li, Yanjie Fu, Huaibo Mei, Jingbo Zhou, Xu Ma, Hui Xiong. KDD 2020. [paper]
Improving Movement Predictions of Traffic Actors in Bird's-Eye View Models using GANs and Differentiable Trajectory Rasterization. Eason Wang, Henggang Cui, Sai Yalamanchi, Mohana Moorthy, Nemanja Djuric. KDD 2020. [paper]
HetETA: Heterogeneous Information Network Embedding for Estimating Time of Arrival. Huiting Hong, Yucheng Lin, Xiaoqing Yang, Zang Li, Kung Fu, Zheng Wang, Xiaohu Qie, Jieping Ye. KDD 2020. [paper]
Calendar Graph Neural Networks for Modeling Time Structures in Spatiotemporal User Behaviors. Daheng Wang, Meng Jiang, Munira Syed, Oliver Conway, Vishal Juneja, Sriram Subramanian, Nitesh V. Chawla. KDD 2020. [paper]
City Metro Network Expansion with Reinforcement Learning. Yu Wei, Minjia Mao, Xi Zhao, Jianhua Zou, Ping An. KDD 2020. [paper]
Personalized Prefix Embedding for POI Auto-Completion in the Search Engine of Baidu Maps. Jizhou Huang, Haifeng Wang, Miao Fan, An Zhuo, Ying Li. KDD 2020. [paper]
ConSTGAT: Contextual Spatial-Temporal Graph Attention Network for Travel Time Estimation at Baidu Maps. Xiaomin Fang, Jizhou Huang, Fan Wang, Lingke Zeng, Haijin Liang, Haifeng Wang. KDD 2020. [paper]
Doing in One Go: Delivery Time Inference Based on Couriers' Trajectories. Sijie Ruan, Zi Xiong, Cheng Long, Yiheng Chen, Jie Bao, Tianfu He, Ruiyuan Li, Shengnan Wu, Zhongyuan Jiang, Yu Zheng. KDD 2020. [paper]
Unsupervised Translation via Hierarchical Anchoring: Functional Mapping of Places across Cities. Takahiro Yabe, Kota Tsubouchi, Toru Shimizu, Yoshihide Sekimoto, Satish V. Ukkusuri. KDD 2020. [paper]
Delivery Scope: A New Way of Restaurant Retrieval for On-demand Food Delivery Service. Xuetao Ding, Runfeng Zhang, Zhen Mao, Ke Xing, Fangxiao Du, Xingyu Liu, Guoxing Wei, Feifan Yin, Renqing He, Zhizhao Sun. KDD 2020. [paper]
Efficiently Solving the Practical Vehicle Routing Problem: A Novel Joint Learning Approach. Lu Duan, Yang Zhan, Haoyuan Hu, Yu Gong, Jiangwen Wei, Xiaodong Zhang, Yinghui Xu. KDD 2020. [paper]
Hybrid Spatio-Temporal Graph Convolutional Network: Improving Traffic Prediction with Navigation Data. Rui Dai, Shenkun Xu, Qian Gu, Chenguang Ji, Kaikui Liu. KDD 2020. [paper]
Attention based Multi-Modal New Product Sales Time-series Forecasting. Vijay Ekambaram, Kushagra Manglik, Sumanta Mukherjee, Surya Shravan Kumar Sajja, Satyam Dwivedi, Vikas Raykar. KDD 2020. [paper]
Dynamic Heterogeneous Graph Neural Network for Real-time Event Prediction. Wenjuan Luo, Han Zhang, Xiaodi Yang, Lin Bo, Xiaoqing Yang, Zang Li, Xiaohu Qie, Jieping Ye. KDD 2020. [paper]
BusTr: Predicting Bus Travel Times from Real-Time Traffic. Richard Barnes, Senaka Buthpitiya, James Cook, Alex Fabrikant, Andrew Tomkins, Fangzhou Xu. KDD 2020. [paper]
CompactETA: A Fast Inference System for Travel Time Prediction. Kun Fu, Fanlin Meng, Jieping Ye, Zheng Wang. KDD 2020. [paper]
USAD: UnSupervised Anomaly Detection on Multivariate Time Series. Julien Audibert, Pietro Michiardi, Frédéric Guyard, Sébastien Marti, Maria A. Zuluaga. KDD 2020. [paper]
Learning to Simulate Human Mobility. Jie Feng, Zeyu Yang, Fengli Xu, Haisu Yu, Mudan Wang, Yong Li. KDD 2020. [paper]
Understanding the Impact of the COVID-19 Pandemic on Transportation-related Behaviors with Human Mobility Data. Jizhou Huang, Haifeng Wang, Miao Fan, An Zhuo, Yibo Sun, Ying Li. KDD 2020. [paper]
Understanding the Urban Pandemic Spreading of COVID-19 with Real World Mobility Data. Qianyue Hao, Lin Chen, Fengli Xu, Yong Li. KDD 2020. [paper]
Lightnet: A dual spatiotemporal encoder network model for lightning prediction. Yangli-ao Geng, Qingyong Li, Tianyang Lin, Lei Jiang, Liangtao Xu, Dong Zheng, Wen Yao, Weitao Lyu, Yijun Zhang. KDD 2019. [paper]
Deepurbanevent: A system for predicting citywide crowd dynamics at big events. Renhe Jiang, Xuan Song, Dou Huang, Xiaoya Song, Tianqi Xia, Zekun Cai, Zhaonan Wang, Kyoung-Sook Kim, Ryosuke Shibasaki. KDD 2019. [paper]
Predicting dynamic embedding trajectory in temporal interaction networks. Srijan Kumar, Xikun Zhang, Jure Leskovec. KDD 2019. [paper]
Nonparametric Mixture of Sparse Regressions on Spatio-Temporal Data--An Application to Climate Prediction. Yumin Liu, Junxiang Chen, Auroop R. Ganguly, Jennifer G. Dy. KDD 2019. [paper]
Large-scale user visits understanding and forecasting with deep spatial-temporal tensor factorization framework. Xiaoyang Ma, Lan Zhang, Lan Xu, Zhicheng Liu, Ge Chen, Zhili Xiao, Yang Wang, Zhengtao Wu. KDD 2019. [paper]
Deep mixture point processes: Spatio-temporal event prediction with rich contextual information. Maya Okawa, Tomoharu Iwata, Takeshi Kurashima, Yusuke Tanaka, Hiroyuki Toda, Naonori Ueda. KDD 2019. [paper]
Urban traffic prediction from spatio-temporal data using deep meta learning. Zheyi Pan, Yuxuan Liang, Weifeng Wang, Yong Yu, Yu Zheng, Junbo Zhang. KDD 2019. [paper]
Origin-destination matrix prediction via graph convolution: a new perspective of passenger demand modeling. Yuandong Wang, Hongzhi Yin, Hongxu Chen, Tianyu Wo, Jie Xu, Kai Zheng. KDD 2019. [paper]
Co-prediction of multiple transportation demands based on deep spatio-temporal neural network. Junchen Ye, Leilei Sun, Bowen Du, Yanjie Fu, Xinran Tong, Hui Xiong. KDD 2019. [paper]
Dynamic bike reposition: A spatio-temporal reinforcement learning approach. Yexin Li, Yu Zheng, Qiang Yang. KDD 2018. [paper]
Deep sequence learning with auxiliary information for traffic prediction. Binbing Liao, Jingqing Zhang, Chao Wu, Douglas McIlwraith, Tong Chen, Shengwen Yang, Yike Guo, Fei Wu. KDD 2018. [paper]
Stepdeep: A novel spatial-temporal mobility event prediction framework based on deep neural network. Bilong Shen, Xiaodan Liang, Yufeng Ouyang, Miaofeng Liu, Weimin Zheng, Kathleen M. Carley. KDD 2018. [paper]
A dynamic pipeline for spatio-temporal fire risk prediction. Bhavkaran Singh Walia, Qianyi Hu, Jeffrey Chen, Fangyan Chen, Jessica Lee, Nathan Kuo, Palak Narang, Jason Batts, Geoffrey Arnold, Michael Madaio. KDD 2018. [paper]
You are how you drive: Peer and temporal-aware representation learning for driving behavior analysis. Pengyang Wang, Yanjie Fu, Jiawei Zhang, Pengfei Wang, Yu Zheng, Charu C. Aggarwal. KDD 2018. [paper]
Intellilight: A reinforcement learning approach for intelligent traffic light control. Hua Wei, Guanjie Zheng, Huaxiu Yao, Zhenhui Li. KDD 2018. [paper]
REST: A reference-based framework for spatio-temporal trajectory compression. Yan Zhao, Shuo Shang, Yu Wang, Bolong Zheng, Quoc Viet Hung Nguyen, Kai Zheng. KDD 2018. [paper]
Planning bike lanes based on sharing-bikes' trajectories. Jie Bao, Tianfu He, Sijie Ruan, Yanhua Li, Yu Zheng. KDD 2017. [paper]
Functional zone based hierarchical demand prediction for bike system expansion. Junming Liu, Leilei Sun, Qiao Li, Jingci Ming, Yanchi Liu, Hui Xiong. KDD 2017. [paper]
Point-of-interest demand modeling with human mobility patterns. Yanchi Liu, Chuanren Liu, Xinjiang Lu, Mingfei Teng, Hengshu Zhu, Hui Xiong. KDD 2017. [paper]
The simpler the better: a unified approach to predicting original taxi demands based on large-scale online platforms. Yongxin Tong, Yuqiang Chen, Zimu Zhou, Lei Chen, Jie Wang, Qiang Yang, Jieping Ye, Weifeng Lv. KDD 2017. [paper]
Human mobility synchronization and trip purpose detection with mixture of hawkes processes. Pengfei Wang, Yanjie Fu, Guannan Liu, Wenqing Hu, Charu C. Aggarwal. KDD 2017. [paper]
Triovecevent: Embedding-based online local event detection in geo-tagged tweet streams. Chao Zhang, Liyuan Liu, Dongming Lei, Quan Yuan, Honglei Zhuang, Tim Hanratty, Jiawei Han. KDD 2017. [paper]
Mantra: a scalable approach to mining temporally anomalous sub-trajectories. BANERJEE, Prithu, YAWALKAR, Pranali y RANU, Sayan. KDD 2016. [paper]
Latent space model for road networks to predict time-varying traffic. Prithu Banerjee, Pranali Yawalkar, Sayan Ranu. KDD 2016. [paper]
Unified point-of-interest recommendation with temporal interval assessment. Yanchi Liu, Chuanren Liu, Bin Liu, Meng Qu, Hui Xiong. KDD 2016. [paper]
Probabilistic robust route recovery with spatio-temporal dynamics. Hao Wu, Jiangyun Mao, Weiwei Sun, Baihua Zheng, Hanyuan Zhang, Ziyang Chen, Wei Wang. KDD 2016. [paper]
Hierarchical incomplete multi-source feature learning for spatiotemporal event forecasting. Liang Zhao, Jieping Ye, Feng Chen, Chang-Tien Lu, Naren Ramakrishnan. KDD 2016. [paper]
Spatio-temporal GRU for trajectory classification. Hongbin Liu, Hao Wu, Weiwei Sun, Ickjai Lee. ICDM 2019. [paper]
Boosted trajectory calibration for traffic state estimation. Xitong Zhang, Liyang Xie, Zheng Wang, Jiayu Zhou. ICDM 2019. [paper]
Exploiting spatio-temporal correlations with multiple 3d convolutional neural networks for citywide vehicle flow prediction. Cen Chen, Kenli Li, Sin G. Teo, Guizi Chen, Xiaofeng Zou, Xulei Yang, Ramaseshan C. Vijay, Jiashi Feng, Zeng Zeng. ICDM 2018. [paper]
Outlier detection in urban traffic flow distributions. Youcef Djenouri, Arthur Zimek, Marco Chiarandini. ICDM 2018. [paper]
Next point-of-interest recommendation with temporal and multi-level context attention. Ranzhen Li, Yanyan Shen, Yanmin Zhu. ICDM 2018. [paper]
An integrated model for crime prediction using temporal and spatial factors. Fei Yi, Zhiwen Yu, Fuzhen Zhuang, Xiao Zhang, Hui Xiong. ICDM 2018. [paper]
Situation aware multi-task learning for traffic prediction. Dingxiong Deng, Cyrus Shahabi, Ugur Demiryurek, Linhong Zhu. ICDM 2017. [paper]
Stexnmf: Spatio-temporally exclusive topic discovery for anomalous event detection. Dear Sungbok Shin, Minsuk Choi, Jinho Choi, Scott Langevin, Christopher Bethune, Philippe Horne, Nathan Kronenfeld, Ramakrishnan Kannan, Barry L. Drake, Haesun Park, Jaegul Choo. ICDM 2017. [paper]
Traffic speed prediction and congestion source exploration: A deep learning method. Jingyuan Wang, Qian Gu, Junjie Wu, Guannan Liu, Zhang Xiong. ICDM 2016. [paper]
POI recommendation: A temporal matching between POI popularity and user regularity. Zijun Yao, Yanjie Fu, Bin Liu, Yanchi Liu, Hui Xiong. ICDM 2016. [paper]
Multi-resolution spatial event forecasting in social media. Liang Zhao, Feng Chen, Chang-Tien Lu, Naren Ramakrishnan. ICDM 2016. [paper]
Unsupervised Representation Learning of Spatial Data via Multimodal Embedding. Porter Jenkins, Ahmad Farag, Suhang Wang, Zhenhui Li. CIKM 2019. [paper]
Exploring The Interaction Effects for Temporal Spatial Behavior Prediction. Huan Yang, Tianyuan Liu, Yuqing Sun, Elisa Bertino. CIKM 2019. [paper]
Learning to Effectively Estimate the Travel Time for Fastest Route Recommendation. Ning Wu, Jingyuan Wang, Wayne Xin Zhao, Yang Jin. CIKM 2019. [paper]
Personalized Route Description Based On Historical Trajectories. Han Su, Guanglin Cong, Wei Chen, Bolong Zheng, Kai Zheng. CIKM 2019. [paper]
CityTraffic: Modeling Citywide Traffic via Neural Memorization and Generalization Approach. Xiuwen Yi, Zhewen Duan, Ting Li, Tianrui Li, Junbo Zhang, Yu Zheng. CIKM 2019. [paper]
Matrix Factorization for Spatio-Temporal Neural Networks with Applications to Urban Flow Prediction. Zheyi Pan, Zhaoyuan Wang, Weifeng Wang, Yong Yu, Junbo Zhang, Yu Zheng. CIKM 2019. [paper]
Spatio-Temporal Graph Convolutional and Recurrent Networks for Citywide Passenger Demand Prediction. Lei Bai, Lina Yao, Salil S. Kanhere, Xianzhi Wang, Wei Liu, Zheng Yang. CIKM 2019. [paper]
Towards explainable representation of time-evolving graphs via spatial-temporal graph attention networks. Zhining Liu, Dawei Zhou, Jingrui He. CIKM 2019. [paper]
Query processing techniques for big spatial-keyword data. Ahmed R. Mahmood, Walid G. Aref. CIKM 2019. [paper]
Learning Region Similarity over Spatial Knowledge Graphs with Hierarchical Types and Semantic Relations. Xiongnan Jin, Byungkook Oh, Sanghak Lee, Dongho Lee, Kyong-Ho Lee, Liang Chen. CIKM 2019. [paper]
Modeling temporal-spatial correlations for crime prediction. Xiangyu Zhao, Jiliang Tang. CIKM 2019. [paper]
STAR: Spatio-Temporal Taxonomy-Aware Tag Recommendation for Citizen Complaints. Jingyue Gao, Yuanduo He, Yasha Wang, Xiting Wang, Jiangtao Wang, Guangju Peng, Xu Chu. CIKM 2019. [paper]
DeepIST: Deep Image-based Spatio-Temporal Network for Travel Time Estimation. Tao-Yang Fu, Wang-Chien Lee. CIKM 2019. [paper]
Temporal network embedding with micro-and macro-dynamics. Yuanfu Lu, Xiao Wang, Chuan Shi, Philip S. Yu, Yanfang Ye. CIKM 2019. [paper]
Traffic-cascade: Mining and visualizing lifecycles of traffic congestion events using public bus trajectories. Agus Trisnajaya Kwee, Meng-Fen Chiang, Philips Kokoh Prasetyo, Ee-Peng Lim. CIKM 2018. [paper]
Ontop-temporal: A Tool for Ontology-based Query Answering over Temporal Data. Elem Güzel Kalayci, Guohui Xiao, Vladislav Ryzhikov, Tahir Emre Kalayci, Diego Calvanese. CIKM 2018. [paper]
Tequila: Temporal question answering over knowledge bases. Zhen Jia, Abdalghani Abujabal, Rishiraj Saha Roy, Jannik Strötgen, Gerhard Weikum. CIKM 2018. [paper]
Urbanity: A System for Interactive Exploration of Urban Dynamics from Streaming Human Sensing Data. Mengxiong Liu, Zhengchao Liu, Chao Zhang, Keyang Zhang, Quan Yuan, Tim Hanratty, Jiawei Han. CIKM 2017. [paper]
Spatial crowdsourcing: Challenges, techniques, and applications. Yongxin Tong, Lei Chen, Cyrus Shahabi. CIKM 2017. [paper]
Destination-aware task assignment in spatial crowdsourcing. Yan Zhao, Yang Li, Yu Wang, Han Su, Kai Zheng. CIKM 2017. [paper]
A Multi-task Learning Framework for Road Attribute Updating via Joint Analysis of Map Data and GPS Traces. Yifang Yin, Jagannadan Varadarajan, Guanfeng Wang, Xueou Wang, Dhruva Sahrawat, Roger Zimmermann, See-Kiong Ng. WWW 2020. [paper]
Hierarchically Structured Transformer Networks for Fine-Grained Spatial Event Forecasting. Xian Wu, Chao Huang, Chuxu Zhang, Nitesh V. Chawla. WWW 2020. [paper]
Customizing Your Own Route with QQIP. A Quantitative and Qualitative Itinerary Planner for New Transportation Routes. Fandel Lin, Jie-Yu Fang, Hsun-Ping Hsieh. WWW 2020. [paper]
Traffic Flow Prediction via Spatial Temporal Graph Neural Network. Xiaoyang Wang, Yao Ma, Yiqi Wang, Wei Jin, Xin Wang, Jiliang Tang, Caiyan Jia, Jian Yu. WWW 2020. [paper]
Dynamic Flow Distribution Prediction for Urban Dockless E-Scooter Sharing Reconfiguration. Suining He, Kang G. Shin. WWW 2020. [paper]
Context-aware Variational Trajectory Encoding and Human. Fan Zhou, Xiaoli Yue, Goce Trajcevski, Ting Zhong, Kunpeng Zhang. WWW 2019. [paper]
BaG: Behavior-aware Group Detection in Crowded Urban Spaces using WiFi Probes. Jiaxing Shen, Jiannong Cao, Xuefeng Liu: WWW 2019. [paper]
Joint Modeling of Dense and Incomplete Trajectories for Citywide Traffic Volume Inference. Xianfeng Tang, Boqing Gong, Yanwei Yu, Huaxiu Yao, Yandong Li, Haiyong Xie, Xiaoyu Wang. WWW 2019. [paper]
Learning from Multiple Cities: A Meta-Learning Approach for Spatial-Temporal Prediction. Huaxiu Yao, Yiding Liu, Ying Wei, Xianfeng Tang, Zhenhui Li. WWW 2019. [paper]
Beyond Shortest Paths: Route Recommendations for Ride-sharing. Chak Fai Yuen, Abhishek Pratap Singh, Sagar Goyal, Sayan Ranu, Amitabha Bagchi. WWW 2019. [paper]
MiST: A Multiview and Multimodal Spatial-Temporal Learning Framework for Citywide Abnormal Event Forecasting. Chao Huang, Chuxu Zhang, Jiashu Zhao, Xian Wu, Nitesh V. Chawla, Dawei Yin. WWW 2019. [paper]
Spatio-Temporal Capsule-based Reinforcement Learning for Mobility-on-Demand Network Coordination. Suining He, Kang G. Shin. WWW 2019. [paper]
Regions, Periods, Activities: Uncovering Urban Dynamics via Cross-Modal Representation Learning. Chao Zhang, Keyang Zhang, Quan Yuan, Haoruo Peng, Yu Zheng, Tim Hanratty, Shaowen Wang, Jiawei Han. WWW 2017. [paper]
PaRE: A System for Personalized Route Guidance. Yaguang Li, Han Su, Ugur Demiryurek, Bolong Zheng, Tieke He, Cyrus Shahabi. WWW 2017. [paper]
TribeFlow: Mining & Predicting User Trajectories. Flavio Figueiredo, Bruno Ribeiro, Jussara M. Almeida, Christos Faloutsos. WWW 2016. [paper]
Convolutional Methods for Predictive Modeling of Geospatial Data. Tyler Wilson, Pang-Ning Tan, Lifeng Luo. SDM 2020. [paper]
Instance space analysis for unsupervised outlier detection. Sevvandi Kandanaarachchi, Mario A. Muñoz, Kate Smith-Miles. SDM 2019. [paper]
Spatial Context-Aware Networks for Mining Temporal Discriminative Period in Land Cover Detection. Xiaowei Jia, Sheng Li, Ankush Khandelwal, Guruprasad Nayak, Anuj Karpatne, Vipin Kumar. SDM 2019. [paper]
A Deep Spatio-Temporal Fuzzy Neural Network for Passenger Demand Prediction. Xiaoyuan Liang, Guiling Wang, Martin Renqiang Min, Yi Qi, Zhu Han. SDM 2019. [paper]
Bus Travel Speed Prediction using Attention Network of Heterogeneous Correlation Features. Yidan Sun, Guiyuan Jiang, Siew-Kei Lam, Shicheng Chen, Peilan He. SDM 2019. [paper]
Robust Road Map Inference through Network Alignment of Trajectories. Rade Stanojevic, Sofiane Abbar, Saravanan Thirumuruganathan, Sanjay Chawla, Fethi Filali, Ahid Aleimat. SDM 2018. [paper]
Outlier Detection over Distributed Trajectory Streams. Jiali Mao, Pengda Sun, Cheqing Jin, Aoying Zhou. SDM 2018. [paper]
Ensemble-Spotting: Ranking Urban Vibrancy via POI Embedding with Multi-view Spatial Graphs. Pengyang Wang, Jiawei Zhang, Guannan Liu, Yanjie Fu, Charu C. Aggarwal. SDM 2018. [paper]
Modeling the Interaction Coupling of Multi-View Spatiotemporal Contexts for Destination Prediction. Kunpeng Liu, Pengyang Wang, Jiawei Zhang, Yanjie Fu, Sajal K. Das. SDM 2018. [paper]
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Uncovering the Spatiotemporal Patterns of Collective Social Activity. Martin Jankowiak, Manuel Gomez-Rodriguez. SDM 2017. [paper]
A Spatial-Temporal Probabilistic Matrix Factorization Model for Point-of-Interest Recommendation. Huayu Li, Richang Hong, Zhiang Wu, Yong Ge. SDM 2016. [paper]
GSpartan: a Geospatio-Temporal Multi-task Learning Framework for Multi-location Prediction. Jianpeng Xu, Pang-Ning Tan, Lifeng Luo, Jiayu Zhou. SDM 2016. [paper]
Context-based Markov Model toward Spatio-Temporal Prediction with Realistic Dataset. Kota Tsubouchi, Tomoki Saito, Masamichi Shimosaka. SIGSPATIAL 2019. [paper]
Optimizing the Spatio-Temporal Resource Search Problem with Reinforcement Learning (GIS Cup). Felix Borutta, Sebastian Schmoll, Sabrina Friedl. SIGSPATIAL 2019. [paper]
TITAN: A Spatiotemporal Feature Learning Framework for Traffic Incident Duration Prediction. Kaiqun Fu, Taoran Ji, Liang Zhao, Chang-Tien Lu. SIGSPATIAL 2019. [paper]
Generating traffic data for any city using SMARTS simulator. Hairuo Xie, Egemen Tanin, Kotagiri Ramamohanarao, Shanika Karunasekera, Lars Kulik, Rui Zhang, Jianzhong Qi. SIGSPATIAL 2019. [paper]
klcluster: Center-based Clustering of Trajectories. Kevin Buchin, Anne Driemel, Natasja van de L'Isle, André Nusser. SIGSPATIAL 2019. [paper]
Deep Multiple Instance Learning for Human Trajectory Identification. Zipei Fan, Quanjun Chen, Renhe Jiang, Ryosuke Shibasaki, Xuan Song, Kota Tsubouchi. SIGSPATIAL 2019. [paper]
FairST: Equitable Spatial and Temporal Demand Prediction for New Mobility Systems. An Yan, Bill Howe. SIGSPATIAL 2019. [paper]
A traffic sign discovery driven system for traffic rule updating. Tengfei Xing, Yang Gu, Zhichao Song, Zhihui Wang, Yiping Meng, Nan Ma, Pengfei Xu, Runbo Hu, Hua Chai. SIGSPATIAL 2019. [paper]
Predicting traffic accidents with event recorder data. Yoshiaki Takimoto, Yusuke Tanaka, Takeshi Kurashima, Shuhei Yamamoto, Maya Okawa, Hiroyuki Toda. SIGSPATIAL 2019. [paper]
The Phase Abstraction for Estimating Energy Consumption and Travel Times for Electric Vehicle Route Planning. Payas Rajan, Chinya V. Ravishankar. SIGSPATIAL 2019. [paper]
Streaming Route Assignment for Connected Autonomous Vehicles (Systems Paper). Sadegh Motallebi, Hairuo Xie, Egemen Tanin, Jianzhong Qi, Kotagiri Ramamohanarao. SIGSPATIAL 2019. [paper]
Spatiotemporal Bus Route Profiling using Odometer Data. Xiqi Fei, Olga Gkountouna, Dieter Pfoser, Andreas Züfle. SIGSPATIAL 2019. [paper]
St-discovery: Data-driven discovery of structural dependencies in urban road networks. Nicolas Tempelmeier, Udo Feuerhake, Oskar Wage, Elena Demidova. SIGSPATIAL 2019. [paper]
Relative Reachability Analysis as a Tool for Urban Mobility Planning: Position Paper. Theodoros Chondrogiannis, Mario A. Nascimento, Panagiotis Bouros. SIGSPATIAL 2019. [paper]
Simct: Spatial simulation of urban evolution to test resilience of 5g cellular networks. Teyu Hsiung, Yaron Kanza. SIGSPATIAL 2019. [paper]
An Efficient Electric Vehicle Path-Planner That Considers the Waiting Time. Jaël Champagne Gareau, Éric Beaudry, Vladimir Makarenkov. SIGSPATIAL 2019. [paper]
Traffic speed prediction with convolutional neural network adapted for non-linear spatio-temporal dynamics. Shen Ren, Bo Yang, Liye Zhang, Zengxiang Li. SIGSPATIAL 2019. [paper]
Graph convolutional networks for road networks. Tobias Skovgaard Jepsen, Christian S. Jensen, Thomas Dyhre Nielsen. SIGSPATIAL 2019. [paper]
Efficient Computation of Multi-Modal Public Transit Traffic Assignments using ULTRA. Jonas Sauer, Dorothea Wagner, Tobias Zündorf. SIGSPATIAL 2019. [paper]
Dynamic spatio-temporal integration of traffic accident data. Ove Andersen, Kristian Torp. SIGSPATIAL 2018. [paper]
A Seq2Seq learning approach for modeling semantic trajectories and predicting the next location. Antonios Karatzoglou, Adrian Jablonski, Michael Beigl. SIGSPATIAL 2018. [paper]
RoadRunner: improving the precision of road network inference from GPS trajectories. Songtao He, Favyen Bastani, Sofiane Abbar, Mohammad Alizadeh, Hari Balakrishnan, Sanjay Chawla, Sam Madden. SIGSPATIAL 2018. [paper]
Trajectory-based social circle inference. Qiang Gao, Goce Trajcevski, Fan Zhou, Kunpeng Zhang, Ting Zhong, Fengli Zhang. SIGSPATIAL 2018. [paper]
Periodic stops discovery through density-based trajectory segmentation. Fatima Hachem, Maria Luisa Damiani. SIGSPATIAL 2018. [paper]
A force-directed approach for offline GPS trajectory map matching. Efstratios Rappos, Stephan Robert, Philippe Cudré-Mauroux. SIGSPATIAL 2018. [paper]
Vision paper: reinforcement learning in smart spatio-temporal environments. Sebastian Schmoll, Matthias Schubert. SIGSPATIAL. [paper]
Rasdaman: Spatio-temporal datacubes on steroids. Peter Baumann, Dimitar Misev, Vlad Merticariu, Bang Pham Huu, Brennan Bell. SIGSPATIAL 2018. [paper]
Multi-level filtering to retrieve similar trajectories under the Fréchet distance. Hong Wei, Riccardo Fellegara, Yin Wang, Leila De Floriani, Hanan Samet. SIGSPATIAL 2018. [paper]
Multi-resolution sketches and locality sensitive hashing for fast trajectory processing. Maria Sinziana Astefanoaei, Paul Cesaretti, Panagiota Katsikouli, Mayank Goswami, Rik Sarkar. SIGSPATIAL 2018. [paper]
A brief overview of machine learning methods for short-term traffic forecasting and future directions. Yaguang Li, Cyrus Shahabi. SIGSPATIAL 2018. [paper]
Insert beyond the traffic sign recognition: constructing an auto-pilot map for autonomous vehicles. Zhenhua Zhang, Leon Stenneth, Ram Marappan, Zaba Sebastian, Philip S. Yu. SIGSPATIAL 2018. [paper]
High definition maps in urban context. Andi Zang, Xin Chen, Goce Trajcevski. SIGSPATIAL 2018. [paper]
Replicating urban dynamics by generating human-like agents from smartphone GPS data. Yanbo Pang, Kota Tsubouchi, Takahiro Yabe, Yoshihide Sekimoto. SIGSPATIAL 2018. [paper]
CP-ORTHO: An Orthogonal Tensor Factorization Framework for Spatio-Temporal Data. Ardavan Afshar, Joyce C. Ho, Bistra Dilkina, Ioakeim Perros, Elias B. Khalil, Li Xiong, Vaidy S. Sunderam. SIGSPATIAL 2017. [paper]
Smart-phone based Spatio-temporal Sensing for Annotated Transit Map Generation. Rohit Verma, Surjya Ghosh, Niloy Ganguly, Bivas Mitra, Sandip Chakraborty. SIGSPATIAL 2017. [paper]
City-wide Traffic Volume Inference with Loop Detector Data and Taxi Trajectories. Chuishi Meng, Xiuwen Yi, Lu Su, Jing Gao, Yu Zheng. SIGSPATIAL 2017. [paper]
From How to Where: Traffic Optimization in the Era of Automated Vehicles. Kotagiri Ramamohanarao, Jianzhong Qi, Egemen Tanin, Sadegh Motallebi. SIGSPATIAL 2017. [paper]
Visualizing Traffic Accident Hotspots Based on Spatial-Temporal Network Kernel Density Estimation. Benjamin Romano, Zhe Jiang. SIGSPATIAL 2017. [paper]
A Cloud-Based Trajectory Data Management System. Ruiyuan Li, Sijie Ruan, Jie Bao, Yu Zheng. SIGSPATIAL 2017. [paper]
Querying Massive Trajectories by Path on the Cloud. Ruiyuan Li, Sijie Ruan, Jie Bao, Yanhua Li, Yingcai Wu, Yu Zheng. SIGSPATIAL 2017. [paper]
Forecasting Gathering Events through Continuous Destination Prediction on Big Trajectory Data. Amin Vahedian, Xun Zhou, Ling Tong, Yanhua Li, Jun Luo. SIGSPATIAL 2017. [paper]
Inferring traffic cascading patterns. Yuxuan Liang, Zhongyuan Jiang, Yu Zheng. SIGSPATIAL 2017. [paper]
Mining the most influential k-location set from massive trajectories. Yuhong Li, Jie Bao, Yanhua Li, Yingcai Wu, Zhiguo Gong, Yu Zheng. SIGSPATIAL 2016. [paper]
FCCF: forecasting citywide crowd flows based on big data. Minh X. Hoang, Yu Zheng, Ambuj K. Singh. SIGSPATIAL 2016. [paper]
DNN-based prediction model for spatio-temporal data. Junbo Zhang, Yu Zheng, Dekang Qi, Ruiyuan Li, Xiuwen Yi. SIGSPATIAL 2016. [paper]
Managing massive trajectories on the cloud. Jie Bao, Ruiyuan Li, Xiuwen Yi, Yu Zheng. SIGSPATIAL 2016. [paper]
Traffic prediction in a bike-sharing system. Yexin Li, Yu Zheng, Huichu Zhang, Lei Chen. SIGSPATIAL 2016. [paper]
Semi-Supervised Deep Learning Approach for Transportation Mode Identification Using GPS Trajectory Data. Sina Dabiri, Chang-Tien Lu, Kevin Heaslip, Chandan K. Reddy. IEEE Trans. Knowl. Data Eng. 32(5): 1010-1023 (2020). [paper]
Flow Prediction in Spatio-Temporal Networks Based on Multitask Deep Learning. Junbo Zhang, Yu Zheng, Junkai Sun, Dekang Qi. IEEE Trans. Knowl. Data Eng. 32(3): 468-478 (2020). [paper]
BRIGHT—Drift-Aware Demand Predictions for Taxi Networks. Amal Saadallah, Luís Moreira-Matias, Ricardo Sousa, Jihed Khiari, Erik Jenelius, João Gama. IEEE Trans. Knowl. Data Eng. 32(2): 234-245 (2020). [paper]
An Efficient Destination Prediction Approach Based on Future Trajectory Prediction and Transition Matrix Optimization. Zhou Yang, Heli Sun, Jianbin Huang, Zhongbin Sun, Hui Xiong, Shaojie Qiao, Ziyu Guan, Xiaolin Jia. IEEE Trans. Knowl. Data Eng. 32(2): 203-217 (2020). [paper]
DAG: A General Model for Privacy-Preserving Data Mining. Sin G. Teo, Jianneng Cao, Vincent C. S. Lee. IEEE Trans. Knowl. Data Eng. 32(1): 40-53 (2020). [paper]
A New Method for Measuring Topological Structure Similarity between Complex Trajectories. Huimeng Wang, Yunyan Du, Jiawei Yi, Yong Sun, Fuyuan Liang. IEEE Trans. Knowl. Data Eng. 31(10): 1836-1848 (2019). [paper]
Detecting Pickpocket Suspects from Large-Scale Public Transit Records. Bowen Du, Chuanren Liu, Wenjun Zhou, Zhenshan Hou, Hui Xiong. IEEE Trans. Knowl. Data Eng. 31(3): 465-478 (2019). [paper]
An Efficient Ride-Sharing Framework for Maximizing Shared Route. Na Ta, Guoliang Li, Tianyu Zhao, Jianhua Feng, Hanchao Ma, Zhiguo Gong. IEEE Trans. Knowl. Data Eng. 30(2): 219-233 (2018). [paper]
Reverse
To Meet or Not to Meet: Finding the Shortest Paths in Road Networks. Weihuang Huang, Yikai Zhang, Zechao Shang, Jeffrey Xu Yu. IEEE Trans. Knowl. Data Eng. 30(4): 772-785 (2018). [paper]
TaxiRec: Recommending Road Clusters to Taxi Drivers Using Ranking-Based Extreme Learning Machines. Ran Wang, Chi-Yin Chow, Yan Lyu, Victor C. S. Lee, Sam Kwong, Yanhua Li, Jia Zeng. IEEE Trans. Knowl. Data Eng. 30(3): 585-598 (2018). [paper]
Road Traffic Speed Prediction: A Probabilistic Model Fusing Multi-Source Data. Lu Lin, Jianxin Li, Feng Chen, Jieping Ye, Jinpeng Huai. IEEE Trans. Knowl. Data Eng. 30(7): 1310-1323 (2018). [paper]
A Novel Representation and Compression for Queries on Trajectories in Road Networks. Xiaochun Yang, Bin Wang, Kai Yang, Chengfei Liu, Baihua Zheng. IEEE Trans. Knowl. Data Eng. 30(4): 613-629 (2018). [paper]
Citywide Traffic Volume Estimation Using Trajectory Data. Xianyuan Zhan, Yu Zheng, Xiuwen Yi, Satish V. Ukkusuri. IEEE Trans. Knowl. Data Eng. 29(2): 272-285 (2017). [paper]
Efficient Clue-Based Route Search on Road Networks. Bolong Zheng, Han Su, Wen Hua, Kai Zheng, Xiaofang Zhou, Guohui Li. IEEE Trans. Knowl. Data Eng. 29(9): 1846-1859 (2017). [paper]
Trajectory Community Discovery and Recommendation by Multi-Source Diffusion Modeling. Siyuan Liu, Shuhui Wang. IEEE Trans. Knowl. Data Eng. 29(4): 898-911 (2017). [paper]
Efficiently Estimating Statistics of Points of Interests on Maps. Pinghui Wang, Wenbo He, Xue Liu. IEEE Trans. Knowl. Data Eng. 28(2): 425-438 (2016). [paper]
A General Multi-Context Embedding Model for Mining Human Trajectory Data. Ningnan Zhou, Wayne Xin Zhao, Xiao Zhang, Ji-Rong Wen, Shan Wang. IEEE Trans. Knowl. Data Eng. 28(8): 1945-1958 (2016). [paper]
Optimal Multi-Meeting-Point Route Search. Rong-Hua Li, Lu Qin, Jeffrey Xu Yu, Rui Mao. IEEE Trans. Knowl. Data Eng. 28(3): 770-784 (2016). [paper]
Hierarchical Spatio-Temporal Pattern Discovery and Predictive Modeling. Chung-Hsien Yu, Wei Ding, Melissa Morabito, Ping Chen. IEEE Trans. Knowl. Data Eng. 28(4): 979-993 (2016). [paper]
Efficient Cache-Supported Path Planning on Roads. Ying Zhang, Yu-Ling Hsueh, Wang-Chien Lee, Yi-Hao Jhang. IEEE Trans. Knowl. Data Eng. 28(4): 951-964 (2016). [paper]
Collective Travel Planning in Spatial Networks. Shuo Shang, Lisi Chen, Zhewei Wei, Christian S. Jensen, Ji-Rong Wen, Panos Kalnis. IEEE Trans. Knowl. Data Eng. 28(5): 1132-1146 (2016). [paper]
Discovering Interesting Subpaths with Statistical Significance from Spatiotemporal Datasets. Yiqun Xie, Xun Zhou, Shashi Shekhar. ACM Trans. Intell. Syst. Technol. 11(1): 2:1-2:24 (2020). [paper]
DHPA: Dynamic Human Preference Analytics Framework: A Case Study on Taxi Drivers’ Learning Curve Analysis. Menghai Pan, Weixiao Huang, Yanhua Li, Xun Zhou, Zhenming Liu, Rui Song, Hui Lu, Zhihong Tian, Jun Luo. ACM Trans. Intell. Syst. Technol. 11(1): 8:1-8:19 (2020). [paper]
Trembr: Exploring Road Networks for Trajectory Representation Learning. Tao-Yang Fu, Wang-Chien Lee. ACM Trans. Intell. Syst. Technol. 11(1): 10:1-10:25 (2020). [paper]
A Simple Baseline for Travel Time Estimation using Large-scale Trip Data. Hongjian Wang, Xianfeng Tang, Yu-Hsuan Kuo, Daniel Kifer, Zhenhui Li. ACM Trans. Intell. Syst. Technol. 10(2): 19:1-19:22 (2019). [paper]
Predicting Academic Performance for College Students: A Campus Behavior Perspective. Huaxiu Yao, Defu Lian, Yi Cao, Yifan Wu, Tao Zhou. ACM Trans. Intell. Syst. Technol. 10(3): 24:1-24:21 (2019). [paper]
Spatio-temporal Adaptive Pricing for Balancing Mobility-on-Demand Networks. Suining He, Kang G. Shin. ACM Trans. Intell. Syst. Technol. 10(4): 39:1-39:28 (2019). [paper]
Trajectory Data Classification: A Review. Jiang Bian, Dayong Tian, Yuanyan Tang, Dacheng Tao. ACM Trans. Intell. Syst. Technol. 10(4): 33:1-33:34 (2019). [paper]
Real-Time Human Mobility Modeling with Multi-View Learning. Desheng Zhang, Tian He, Fan Zhang. ACM Trans. Intell. Syst. Technol. 9(3): 22:1-22:25 (2018). [paper]
A Multiagent-Based Approach for Vehicle Routing by Considering Both Arriving on Time and Total Travel Time. Zhiguang Cao, Hongliang Guo, Jie Zhang. ACM Trans. Intell. Syst. Technol. 9(3): 25:1-25:21 (2018). [paper]
Spotting Trip Purposes from Taxi Trajectories: A General Probabilistic Model. Pengfei Wang, Guannan Liu, Yanjie Fu, Yuanchun Zhou, Jianhui Li. ACM Trans. Intell. Syst. Technol. 9(3): 29:1-29:26 (2018). [paper]
Personalized Air Travel Prediction: A Multi-factor Perspective. Jie Liu, Bin Liu, Yanchi Liu, Huipeng Chen, Lina Feng, Hui Xiong, Yalou Huang. ACM Trans. Intell. Syst. Technol. 9(3): 30:1-30:26 (2018). [paper]
A Data Mining Approach to Assess Privacy Risk in Human Mobility Data. Roberto Pellungrini, Luca Pappalardo, Francesca Pratesi, Anna Monreale. ACM Trans. Intell. Syst. Technol. 9(3): 31:1-31:27 (2018). [paper]
Automatic Extraction of Behavioral Patterns for Elderly Mobility and Daily Routine Analysis. Chen Li, William K. Cheung, Jiming Liu, Joseph Kee-Yin Ng. ACM Trans. Intell. Syst. Technol. 9(5): 54:1-54:26 (2018). [paper]
TPM: A Temporal Personalized Model for Spatial Item Recommendation. Weiqing Wang, Hongzhi Yin, Xingzhong Du, Quoc Viet Hung Nguyen, Xiaofang Zhou. ACM Trans. Intell. Syst. Technol. 9(6): 61:1-61:25 (2018). [paper]
Learning Urban Community Structures: A Collective Embedding Perspective with Periodic Spatial-temporal Mobility Graphs. Pengyang Wang, Yanjie Fu, Jiawei Zhang, Xiaolin Li, Dan Lin. ACM Trans. Intell. Syst. Technol. 9(6): 63:1-63:28 (2018). [paper]
SmartTransfer: Modeling the Spatiotemporal Dynamics of Passenger Transfers for Crowdedness-Aware Route Recommendations. Bowen Du, Yifeng Cui, Yanjie Fu, Runxing Zhong, Hui Xiong. ACM Trans. Intell. Syst. Technol. 9(6): 70:1-70:26 (2018). [paper]
Event Classification in Microblogs via Social Tracking. Yue Gao, Hanwang Zhang, Xibin Zhao, Shuicheng Yan. ACM Trans. Intell. Syst. Technol. 8(3): 35:1-35:14 (2017). [paper]
Exploiting Social-Mobile Information for Location Visualization. Jitao Sang, Quan Fang, Changsheng Xu. ACM Trans. Intell. Syst. Technol. 8(3): 39:1-39:19 (2017). [paper]
ST-SAGE: A Spatial-Temporal Sparse Additive Generative Model for Spatial Item Recommendation. Weiqing Wang, Hongzhi Yin, Ling Chen, Yizhou Sun, Shazia Wasim Sadiq, Xiaofang Zhou. ACM Trans. Intell. Syst. Technol. 8(3): 48:1-48:25 (2017). [paper]
A Traffic Flow Approach to Early Detection of Gathering Events: Comprehensive Results. Amin Vahedian Khezerlou, Xun Zhou, Lufan Li, Zubair Shafiq, Alex X. Liu, Fan Zhang. ACM Trans. Intell. Syst. Technol. 8(6): 74:1-74:24 (2017). [paper]
RCMC: Recognizing Crowd-Mobility Patterns in Cities Based on Location Based Social Networks Data. Haytham Assem, Teodora Sandra Buda, Declan O'Sullivan. ACM Trans. Intell. Syst. Technol. 8(5): 70:1-70:30 (2017). [paper]
Participatory Cultural Mapping Based on Collective Behavior Data in Location-Based Social Networks. Dingqi Yang, Daqing Zhang, Bingqing Qu. ACM Trans. Intell. Syst. Technol. 7(3): 30:1-30:23 (2016). [paper]
Location Prediction: A Temporal-Spatial Bayesian Model. Yantao Jia, Yuanzhuo Wang, Xiaolong Jin, Xueqi Cheng. ACM Trans. Intell. Syst. Technol. 7(3): 31:1-31:25 (2016). [paper]
Topic-Aware Physical Activity Propagation with Temporal Dynamics in a Health Social Network. NhatHai Phan, Javid Ebrahimi, David Kil, Brigitte Piniewski, Dejing Dou. ACM Trans. Intell. Syst. Technol. 8(1): 2:1-2:20 (2016). [paper]
Using Scalable Data Mining for Predicting Flight Delays. Loris Belcastro, Fabrizio Marozzo, Domenico Talia, Paolo Trunfio. ACM Trans. Intell. Syst. Technol. 8(1): 5:1-5:20 (2016). [paper]
A Unified Point-of-Interest Recommendation Framework in Location-Based Social Networks. Chen Cheng, Haiqin Yang, Irwin King, Michael R. Lyu. ACM Trans. Intell. Syst. Technol. 8(1): 10:1-10:21 (2016). [paper]
A Spatial-Temporal Topic Model for the Semantic Annotation of POIs in LBSNs. Tieke He, Hongzhi Yin, Zhenyu Chen, Xiaofang Zhou, Shazia W. Sadiq, Bin Luo. ACM Trans. Intell. Syst. Technol. 8(1): 12:1-12:24 (2016). [paper]
Some papers of other Conferences (AAAI、WSDM) and Journal (IEEE T-ITS) will be added to the repository in the near future.
This work is origining from the spatio-temporal data mining group (the fifth group) of JD urban computing summer camp in 2020, thank Jingyuan Wang for helpful guidance and discussions, these papers are collected and classified by Dayan Pan, Geyuan Wang, Zehua He, Xiaoling Liu, Xiaochen Yang, Xianting Huang and me. We hope it will benefit who are researching and interested in spatio-temporal data mining and related areas.
If you have any questions about this repository, please contact me by email (xiepeng21@foxmail.com).