[TOC]
Real-time E-bike Route Planning with Battery Range Prediction
GeoLLM: Extracting Geospatial Knowledge from Large Language Models
AirPhyNet: Harnessing Physics-Guided Neural Networks for Air Quality Prediction
Long-Term Typhoon Trajectory Prediction: A Physics-Conditioned Approach Without Reanalysis Data
Hawkes-enhanced Spatial-Temporal Hypergraph Contrastive Learning based on Criminal Correlations
Earthfarsser: Versatile Spatio-Temporal Dynamical Systems Modeling in One Model
Fully-Connected Spatial-Temporal Graph for Multivariate Time Series Data
Causality-Inspired Spatial-Temporal Explanations for Dynamic Graph Neural Networks. Kesen Zhao(), Liang Zhang. ICLR 2024. paper
ClimateSet: A Large-Scale Climate Model Dataset for Machine Learning
SpatialRank: Urban Event Ranking with NDCG Optimization on Spatiotemporal Data
DYffusion: A Dynamics-informed Diffusion Model for Spatiotemporal Forecasting
UUKG: Unified Urban Knowledge Graph Dataset for Urban Spatiotemporal Prediction
Improving day-ahead Solar Irradiance Time Series Forecasting by Leveraging Spatio-Temporal Context
ClimSim: A large multi-scale dataset for hybrid physics-ML climate emulation
SubseasonalClimateUSA: A Dataset for Subseasonal Forecasting and Benchmarking
PreDiff: Precipitation Nowcasting with Latent Diffusion Models
Automatic Integration for Spatiotemporal Neural Point Processes
Towards Fair Financial Services for All: A Temporal GNN Approach for Individual Fairness on Transaction Networks
DeepSTA: A Spatial-Temporal Attention Network for Logistics Delivery Timely Rate Prediction in Anomaly Conditions
HST-GT:Heterogeneous Spatial-Temporal Graph Transformer for Delivery Time Estimation in Warehouse-Distribution Integration E-Commerce
Fragment and Integrate Network (FIN): A Novel Spatial-Temporal Modeling Based on Long Sequential Behavior for Online Food Ordering Click-Through Rate Prediction
STREAMS: Towards Spatio-Temporal Causal Discovery with Reinforcement Learning for Streamflow Rate Prediction
Enhancing Dynamic On-demand Food Order Dispatching through Future-informed and Spatial-temporal Extended Decisions
BSTT: A Bayesian Spatial-Temporal Transformer for Sleep Staging. Yuchen Liu(CAS), Ziyu Jia. ICLR 2023. paper
Large-scale Urban Cellular Traffic Generation via Knowledge-Enhanced GANs with Multi-Periodic Patterns. Shuodi Hui(THU), Huandong Wang, Tong Li, Xinghao Yang, Xing Wang, Junlan Feng, Lin Zhu, Chao Deng, Pan Hui, Depeng Jin, Yong Li. KDD 2023. paper
Cellular Traffic Generation
Deep Transfer Learning for City-scale Cellular Traffic Generation through Urban Knowledge Graph. Shiyuan Zhang(THU), Tong Li, Shuodi Hui, Guangyu Li, Yanping Liang, Li Yu, Depeng Jin, Yong Li. KDD 2023. paper
Cellular Traffic Generation
ST-iFGSM: Enhancing Robustness of Human Mobility Signature Identification Model via Spatial-Temporal Iterative FGSM. Mingzhi Hu(Worcester Polytechnic Institute), Xin Zhang, Yanhua Li, Xun Zhou, Jun Luo. KDD 2023. paper code
Human Mobility Signature Identification
Maintaining the Status Quo: Capturing Invariant Relations for OOD Spatiotemporal Learning. Zhengyang Zhou(USTC), Qihe Huang, Kuo Yang, Kun Wang, Xu Wang, Yudong Zhang, Yuxuan Liang, Yang Wang. KDD 2023. paper
OOD
DRL4Route: A Deep Reinforcement Learning Framework for Pick-up and Delivery Route Prediction. Xiaowei Mao(BJTU), Haomin Wen, Hengrui Zhang, Huaiyu Wan, Lixia Wu, Jianbin Zheng, Haoyuan Hu, Youfang Lin. KDD 2023. paper code
Pick-up and Delivery Route Prediction
Learning Joint Relational Co-evolution in Spatial-Temporal Knowledge Graph for SMEs Supply Chain Prediction. Youru Li(BJTU), Zhenfeng Zhu, Xiaobo Guo, Linxun Chen, Zhouyin Wang, Yinmeng Wang, Bing Han, Yao Zhao. KDD 2023. paper code
Spatial-Temporal Knowledge Graph
Graph Neural Processes for Spatio-Temporal Extrapolation. Junfeng Hu(NUS), Yuxuan Liang, Zhencheng Fan, Hongyang Chen, Yu Zheng, Roger Zimmermann. KDD 2023. paper
Spatio-Temporal Extrapolation
SAInf: Stay Area Inference of Vehicles using Surveillance Camera Records. Zhipeng Ma(Southwest Jiaotong University), Chuishi Meng, Huimin Ren, Sijie Ruan, Jie Bao, Xiaoting Wang, Tianrui Li, Yu Zheng. KDD 2023. paper
Stay Area Inference of Vehicles
Multi-Temporal Relationship Inference in Urban Areas. Shuangli Li(USTC), Jingbo Zhou, Ji Liu, Tong Xu, Enhong Chen, Hui Xiong. KDD 2023. paper code
Temporal Relationship Inference
MM-DAG: Multi-task DAG Learning for Multi-modal Data - with Application for Traffic Congestion Analysis. Tian Lan(THU), Ziyue Li, Zhishuai Li, Lei Bai, Man Li, Fugee Tsung, Wolfgang Ketter, Rui Zhao, Chen Zhang. KDD 2023. paper code
Traffic Congestion Analysis
QTNet: Theory-based Queue Length Prediction for Urban Traffic. Ryu Shirakami(Sumitomo Electric System Solutions, Co., Ltd.), Toshiya Kitahara, Koh Takeuchi, Hisashi Kashima. KDD 2023. paper
Detecting Vulnerable Nodes in Urban Infrastructure Interdependent Network. Jinzhu Mao(THU), Liu Cao, Chen Gao, Huandong Wang, Hangyu Fan, Depeng Jin, Yong Li. KDD 2023. paper
On Hierarchical Disentanglement of Interactive Behaviors for Multimodal Spatiotemporal Data with Incompleteness. Jiayi Chen(University of Virginia), Aidong Zhang. KDD 2023. paper
Spatio-temporal Diffusion Point Processes. Yuan Yuan(THU), Jingtao Ding, Chenyang Shao, Depeng Jin, Yong Li. KDD 2023. paper code
A Data-driven Region Generation Framework for Spatiotemporal Transportation Service Management. Liyue Chen(PKU), Jiangyi Fang, Zhe Yu, Yongxin Tong, Shaosheng Cao, Leye Wang. KDD 2023. paper
Optimizing Traffic Control with Model-Based Learning: A Pessimistic Approach to Data-Efficient Policy Inference. Mayuresh Kunjir(Amazon Web Services), Sanjay Chawla, Siddarth Chandrasekar, Devika Jay, Balaraman Ravindran. KDD 2023. paper
A Contextual Master-Slave Framework on Urban Region Graph for Urban Village Detection. Congxi Xiao(USTC), Jingbo Zhou, Jizhou Huang,Hengshu Zhu, Tong Xu, Dejing Dou, Hui Xiong. ICDE 2023. paper
Extreme-Aware Local-Global Attention for Spatio-Temporal Urban Mobility Learning. Huiqun Huang(University of Connecticut), Suining He, Mahan Tabatabaie. ICDE 2023. paper code
PriSTI: A Conditional Diffusion Framework for Spatiotemporal Imputation. Mingzhe Liu(BUAA), Han Huang, Hao Feng, Leilei Sun, Bowen Du, Yanjie Fu. ICDE 2023. paper code
REDE: Exploring Relay Transportation for Efficient Last-mile Delivery. Wenjun Lyu(JD Logistics), Haotian Wang, Zhiqing Hong, Guang Wang, Yu Yang, Yunhuai Liu, Desheng Zhang. ICDE 2023. paper
Modeling Intra- and Inter-community Information for Route and Time Prediction in Last-mile Delivery. Yuting Qiang(Cainiao Network), Haomin Wen, Lixia Wu, Xiaowei Mao, Fan Wu, Huaiyu Wan, Haoyuan Hu. ICDE 2023. paper
M^2G4RTP: A Multi-Level and Multi-Task Graph Model for Instant-Logistics Route and Time Joint Prediction. Tianyue Cai(BJTU), Huaiyu Wan, Fan Wu, Haomin Wen, Shengnan Guo, Lixia Wu, Haoyuan Hu, Youfang Lin. ICDE 2023. paper
Delivery Time Prediction Using Large-Scale Graph Structure Learning Based on Quantile Regression. Lei Zhang(Shandong University), Xin Zhou, Zhiwei Zeng, Yiming Cao, Yonghui Xu, Mingliang Wang, Xingyu Wu, Yong Liu, Lizhen Cui, Zhiqi Shen. ICDE 2023. paper
GCRL: Efficient Delivery Area Assignment for Last-mile Logistics with Group-based Cooperative Reinforcement Learning. Hai Wang(JD Logistics), Shuai Wang, Yu Yang, Desheng Zhang. ICDE 2023. paper
City-scale Pollution Aware Traffic Routing by Sampling Max Flows using MCMC. Shreevignesh Suriyanarayanan(IIIT Hyderabad), Praveen Paruchuri, Girish Varma. AAAI 2023. paper
Spatio-Temporal Graph Neural Point Process for Traffic Congestion Event Prediction. Guangyin Jin(National University of Defense Technology), Lingbo Liu, Fuxian Li, Jincai Huang. AAAI 2023. paper
Traffic Congestion Prediction
Hierarchical Contrastive Learning for Temporal Point Processes. Qingmei Wang(RUC), Minjie Cheng, Shen Yuan, Hongteng Xu. AAAI 2023. paper code
c-NTPP: Learning Cluster-Aware Neural Temporal Point Process. Fangyu Ding(SJTU), Junchi Yan, Haiyang Wang. AAAI 2023. paper
Ising-Traffic: Using Ising Machine Learning to Predict Traffic Congestion under Uncertainty. Zhenyu Pan(University of Rochester), Anshujit Sharma, Jerry Yao-Chieh Hu, Zhuo Liu, Ang Li, Han Liu, Michael Huang, Tong Geng. AAAI 2023. paper
Traffic Congestion Prediction
GMDNet: A Graph-based Mixture Density Network for Estimating Packages' Multimodal Travel Time Distribution. Xiaowei Mao(BJTU), Huaiyu Wan, Haomin Wen, Fan Wu, Jianbin Zheng, Yuting Qiang, Shengnan Guo, Lixia Wu, Haoyuan Hu, Youfang Lin. AAAI 2023. paper code
Generative-Contrastive-Attentive Spatial-Temporal Network for Traffic Data Imputation. Wenchuang Peng(BJTU), Youfang Lin, Shengnan Guo, Weiwen Tang, Le Liu, Huaiyu Wan. PAKDD 2023. paper
Learning to Reconstruct Missing Data from Spatiotemporal Graphs with Sparse Observations. Ivan Marisca(Università della Svizzera italiana), Andrea Cini, Cesare Alippi. NIPS 2022. paper code
Towards Out-of-Distribution Sequential Event Prediction: A Causal Treatment. Chenxiao Yang(SJTU), Qitian Wu, Qingsong Wen, Zhiqiang Zhou, Liang Sun, Junchi Yan. NIPS 2022. paper code
AutoST: Towards the Universal Modeling of Spatio-temporal Sequences. Jianxin Li(BUAA), Shuai Zhang, Hui Xiong, Haoyi Zhou. NIPS 2022. paper
Counterfactual Temporal Point Processes. Kimia Noorbakhsh(Sharif University of Technology), Manuel Gomez Rodriguez. NIPS 2022. paper code
Space-Time Graph Neural Networks. Samar Hadou(University of Pennsylvania), Charilaos I Kanatsoulis, Alejandro Ribeiro. ICLR 2022. paper
Para-Pred: Addressing Heterogeneity for City-Wide Indoor Status Estimation in On-Demand Delivery. Wei Liu(Southeast University), Yi Ding, Shuai Wang, Yu Yang, Desheng Zhang. KDD 2022. paper
Applying Deep Learning Based Probabilistic Forecasting to Food Preparation Time for On-Demand Delivery Service. Chengliang Gao(Meituan), Fan Zhang, Yue Zhou, Ronggen Feng, Qiang Ru, Kaigui Bian, Renqing He, Zhizhao Sun. KDD 2022. paper
Service Time Prediction for Delivery Tasks via Spatial Meta-Learning. Sijie Ruan(BJTU), Cheng Long, Zhipeng Ma, Jie Bao, Tianfu He, Ruiyuan Li, Yiheng Chen, Shengnan Wu, Yu Zheng. KDD 2022. paper
Graph2Route: A Dynamic Spatial-Temporal Graph Neural Network for Pick-up and Delivery Route Prediction. Haomin Wen(BJTU), Youfang Lin, Xiaowei Mao, Fan Wu, Yiji Zhao, Haochen Wang, Jianbin Zheng, Lixia Wu, Haoyuan Hu, Huaiyu Wan. KDD 2022. paper code
Characterizing Covid Waves via Spatio-Temporal Decomposition. Kevin Quinn(Boston University), Evimaria Terzi, Mark Crovella. KDD 2022. paper
Robust Event Forecasting with Spatiotemporal Confounder Learning. Songgaojun Deng(Stevens Institute of Technology), Huzefa Rangwala, Yue Ning. KDD 2022. paper
Beyond Point Prediction: Capturing Zero-Inflated & Heavy-Tailed Spatiotemporal Data with Deep Extreme Mixture Models. Tyler Wilson(Michigan State University), Andrew McDonald, Asadullah Hill Galib, Pang-Ning Tan, Lifeng Luo. KDD 2022. paper
Physics-infused Machine Learning for Crowd Simulation. Guozhen Zhang(THU), Zihan Yu, Depeng Jin, Yong Li. KDD 2022. paper code
Precise Mobility Intervention for Epidemic Control Using Unobservable Information via Deep Reinforcement Learning. Tao Feng(THU), Tong Xia, Xiaochen Fan, Huandong Wang, Zefang Zong, Yong Li. KDD 2022. paper
RBG: Hierarchically Solving Large-Scale Routing Problems in Logistic Systems via Reinforcement Learning. Zefang Zong(THU), Hansen Wang, Jingwei Wang, Meng Zheng, Yong Li. KDD 2022. paper
Learning to Discover Causes of Traffic Congestion with Limited Labeled Data. Mudan Wang(THU), Huan Yan, Hongjie Sui, Fan Zuo, Yue Liu, Yong Li. KDD 2022. paper
DisenHCN: Disentangled Hypergraph Convolutional Networks for Spatiotemporal Activity Prediction. Yinfeng Li(THU), Chen Gao, Quanming Yao, Tong Li, Depeng Jin, Yong Li. ICDE 2022. paper
Spatial-Temporal Hypergraph Self-Supervised Learning for Urban Crime Prediction. Zhonghang Li(South China University of Technology), Chao Huang, Lianghao Xia, Yong Xu, Jian Pei. ICDE 2022. paper code
Crime Prediction
GridTuner: Reinvestigate Grid Size Selection for Spatiotemporal Prediction Models. Jiabao Jin, Peng Cheng, Lei Chen, Xuemin Lin, Wenjie Zhang. ICDE 2022. paper
CausalGNN: Causal-Based Graph Neural Networks for Spatio-Temporal Epidemic Forecasting. Lijing Wang(University of Virginia), Aniruddha Adiga, Jiangzhuo Chen, Adam Sadilek, Srinivasan Venkatramanan, Madhav Marathe. AAAI 2022. paper
Mitigating Low Agricultural Productivity of Smallholder Farms in Africa: Time-Series Forecasting for Environmental Stressors. Maryam Tabar(The Pennsylvania State University), Dongwon Lee, David P. Hughes, Amulya Yadav. AAAI 2022. paper code
Conditional Local Convolution for Spatio-temporal Meteorological Forecasting. Haitao Lin(Westlake), Zhangyang Gao, Yongjie Xu, Lirong Wu, Ling Li, Stan. Z. Li. AAAI 2022. paper code
Meteorological Forecasting
Accurate and Scalable Gaussian Processes for Fine-Grained Air Quality Inference. Zeel B Patel(IIT Gandhinagar), Palak Purohit, Harsh Patel, Shivam Sahni, Nipun Batra. AAAI 2022. paper
Spatio-Temporal Recurrent Networks for Event-Based Optical Flow Estimation. Ziluo Ding(PKU), Rui Zhao, Jiyuan Zhang, Tianxiao Gao, Ruiqin Xiong, Zhaofei Yu, Tiejun Huang. AAAI 2022. paper code
HAGEN: Homophily-Aware Graph Convolutional Recurrent Network for Crime Forecasting. Chenyu Wang(USC), Zongyu Lin, Xiaochen Yang, Jiao Sun, Mingxuan Yue, Cyrus Shahabi. AAAI 2022. paper
Crime Prediction
Multi-Type Urban Crime Prediction. Xiangyu Zhao(CityU), Wenqi Fan, Hui Liu, Jiliang Tang. AAAI 2022. paper
Crime Prediction
Machine-Learned Prediction Equilibrium for Dynamic Traffic Assignment. Lukas Graf(University of Augsburg), Tobias Harks, Kostas Kollias, Michael Markl. AAAI 2022. paper
Traffic Assignment
Real-Time Driver-Request Assignment in Ridesourcing. Hao Wang(NTU), Xiaohui Bei. AAAI 2022. paper
Driver-request assignment
Conditional Local Convolution for Spatio-temporal Meteorological Forecasting. Haitao Lin(Westlake University), Zhangyang Gao, Yongjie Xu, Lirong Wu, Ling Li, Stan. Z. Li. AAAI 2022. paper code
Meteorological Forecasting
Learning and Dynamical Models for Sub-Seasonal Climate Forecasting: Comparison and Collaboration. Sijie He(University of Minnesota), Xinyan Li, Laurie Trenary, Benjamin A. Cash, Timothy DelSole, Arindam Banerjee. AAAI 2022. paper code
Meteorological Forecasting
A New Class of Polynomial Activation Functions of Deep Learning for Precipitation Forecasting. Jiachuan Wang(HKUST), Lei Chen, Charles Wang Wai Ng. WSDM 2022. paper
Meteorological Forecasting
Micro-climate Prediction - Multi Scale Encoder-decoder based Deep Learning Framework. Peeyush Kumar(Microsoft Research), Ranveer Chandra, Chetan Bansal, Shivkumar Kalyanaraman, Tanuja Ganu, Michael Grant. KDD 2021. paper
Meteorological Forecasting
A PLAN for Tackling the Locust Crisis in East Africa: Harnessing Spatiotemporal Deep Models for Locust Movement Forecasting. Maryam Tabar(The Pennsylvania State University), Jared Gluck, Anchit Goyal, Fei Jiang, Derek Morr, Annalyse Kehs, Dongwon Lee, David P. Hughes, Amulya Yadav. KDD 2021. paper
Spatial-Temporal Sequential Hypergraph Network for Crime Prediction with Dynamic Multiplex Relation Learning. Lianghao Xia(South China University of Technology), Chao Huang, Yong Xu, Peng Dai, Liefeng Bo, Xiyue Zhang, Tianyi Chen. IJCAI 2021. paper code
Crime Prediction
A Multi-step-ahead Markov Conditional Forward Model with Cube Perturbations for Extreme Weather Forecasting. Chia-Yuan Chang(Academia Sinica), Cheng-Wei Lu, Chuan-Ju Wang. AAAI 2021. paper code
Meteorological Forecasting
Joint Air Quality and Weather Prediction Based on Multi-Adversarial Spatiotemporal Networks. Jindong Han(Baidu Research), Hao Liu, Hengshu Zhu, Hui Xiong, Dejing Dou. AAAI 2021. paper
Meteorological Forecasting
Sub-Seasonal Climate Forecasting via Machine Learning: Challenges, Analysis, and Advances. Sijie He(University of Minnesota), Xinyan Li, Timothy DelSole, Pradeep Ravikumar, Arindam Banerjee. AAAI 2021. paper
Meteorological Forecasting
PM2. 5-GNN: A Domain Knowledge Enhanced Graph Neural Network For PM2. 5 Forecasting. Shuo Wang, Yanran Li, Jiang Zhang, Qingye Meng, Lingwei Meng. SIGSPATIAL 2020. paper code
Meteorological Forecasting