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Spatio-Temporal (ST) data science, which includes sensing, managing, and mining large-scale data across space and time, is fundamental to understanding complex systems in domains such as urban computing, climate science, and intelligent transportation.
Language models are few-shot learners
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al · 1901
Earlier work this paper cites.
Urban computing: concepts, methodologies, and applications
Yu Zheng, Licia Capra, Ouri Wolfson, and Hai Yang. 2014 · 2014
Earlier work this paper cites.
Diffusion convolutional recurrent neural network: Data-driven traffic forecasting
Yaguang Li, Rose Yu, Cyrus Shahabi, and Yan Liu. 2017 · 2017
Earlier work this paper cites.
Spatio-temporal data mining: A survey of problems and methods
Gowtham Atluri, Anuj Karpatne, and Vipin Kumar. 2018 · 2018
Earlier work this paper cites.
Geoman: Multi-level attention networks for geo-sensory time series prediction.. In IJCAI , Vol. 2018. 3428–3434
Yuxuan Liang, Songyu Ke, Junbo Zhang, Xiuwen Yi, and Yu Zheng. 2018 · 2018
Earlier work this paper cites.
Attention based spatial-temporal graph convolutional networks for traffic flow forecasting. In AAAI , Vol. 33. 922–929
Shengnan Guo, Youfang Lin, Ning Feng, Chao Song, and Huaiyu Wan. 2019 · 2019
Earlier work this paper cites.
Bert: Pre-training of deep bidirectional transformers for language understanding. In Proceedings of naacL-HLT , Vol. 1. Minneapolis, Minnesota
Jacob Devlin Ming-Wei Chang Kenton and Lee Kristina Toutanova. 2019 · 2019
Earlier work this paper cites.
Graph wavenet for deep spatial-temporal graph modeling
Zonghan Wu, Shirui Pan, Guodong Long, Jing Jiang, and Chengqi Zhang. 2019 · 2019
Earlier work this paper cites.
Adaptive graph convolutional recurrent network for traffic forecasting. In NeurIPS , Vol. 33. 17804–17815
Lei Bai, Lina Yao, Can Li, Xianzhi Wang, and Can Wang. 2020 · 2020
Earlier work this paper cites.
Deep learning for spatio-temporal data mining: A survey
Senzhang Wang, Jiannong Cao, and Philip Yu. 2020 · 2020
Earlier work this paper cites.
Connecting the dots: Multivariate time series forecasting with graph neural networks. In SIGKDD . 753–763
Zonghan Wu, Shirui Pan, Guodong Long, Jing Jiang, Xiaojun Chang, and Chengqi Zhang. 2020 · 2020
Earlier work this paper cites.
Spatial-temporal transformer networks for traffic flow forecasting
Mingxing Xu, Wenrui Dai, Chunmiao Liu, Xing Gao, Weiyao Lin, Guo-Jun Qi, and Hongkai Xiong. 2020 · 2020
Earlier work this paper cites.
Gman: A graph multi-attention network for traffic prediction. In AAAI , Vol. 34. 1234–1241
Chuanpan Zheng, Xiaoliang Fan, Cheng Wang, and Jianzhong Qi. 2020 · 2020
Earlier work this paper cites.
Lora: Low-rank adaptation of large language models
Edward J Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen. 2021 · 2021
Earlier work this paper cites.
GeoVectors: a linked open corpus of OpenStreetMap Embeddings on world scale. In Proceedings of the 30th ACM International Conference on Information & Knowledge Management . 4604–4612
Nicolas Tempelmeier, Simon Gottschalk, and Elena Demidova. 2021 · 2021
Earlier work this paper cites.
Self-Supervised Spatiotemporal Graph Neural Networks With Self-Distillation for Traffic Prediction
Junzhong Ji, Fan Yu, and Minglong Lei. 2022 · 2022
Earlier work this paper cites.
SpaBERT: A pretrained language model from geographic data for geo-entity representation
Zekun Li, Jina Kim, Yao-Yi Chiang, and Muhao Chen. 2022a · 2022
Earlier work this paper cites.
Mixed-Order Relation-Aware Recurrent Neural Networks for Spatio-Temporal Forecasting
Yuxuan Liang, Kun Ouyang, Yiwei Wang, Zheyi Pan, Yifang Yin, Hongyang Chen, Junbo Zhang, Yu Zheng, David S Rosenblum, and Roger Zimmermann. 2022 · 2022
Earlier work this paper cites.
When do contrastive learning signals help spatio-temporal graph forecasting?. In SIGSPATIAL . 1–12
Xu Liu, Yuxuan Liang, Chao Huang, Yu Zheng, Bryan Hooi, and Roger Zimmermann. 2022 · 2022
Earlier work this paper cites.
Jaideep Pathak, Shashank Subramanian, Peter Harrington, Sanjeev Raja, Ashesh Chattopadhyay, Morteza Mardani, Thorsten Kurth, David Hall, Zongyi Li, Kamyar Azizzadenesheli, et al · 2022
Earlier work this paper cites.
Event-aware multimodal mobility nowcasting. In AAAI , Vol. 36. 4228–4236
Zhaonan Wang, Renhe Jiang, Hao Xue, Flora D Salim, Xuan Song, and Ryosuke Shibasaki. 2022 · 2022
Earlier work this paper cites.
Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy. In International Conference on Learning Representations
Jiehui Xu, Haixu Wu, Jianmin Wang, and Mingsheng Long. 2022 · 2022
Earlier work this paper cites.
Leveraging language foundation models for human mobility forecasting. In Proceedings of the 30th International Conference on Advances in Geographic Information Systems
Hao Xue, Bhanu Prakash Voutharoja, and Flora D Salim. 2022 · 2022
Earlier work this paper cites.
STGAN: Spatio-temporal generative adversarial network for traffic data imputation
Ye Yuan, Yong Zhang, Boyue Wang, Yuan Peng, Yongli Hu, and Baocai Yin. 2022 · 2022
Earlier work this paper cites.
Accurate medium-range global weather forecasting with 3D neural networks
Kaifeng Bi, Lingxi Xie, Hengheng Zhang, Xin Chen, Xiaotao Gu, and Qi Tian. 2023a · 2023
Earlier work this paper cites.
Accurate medium-range global weather forecasting with 3D neural networks
Kaifeng Bi, Lingxi Xie, Hengheng Zhang, Xin Chen, Xiaotao Gu, and Qi Tian. 2023b · 2023
Earlier work this paper cites.
LLM4TS: Two-Stage Fine-Tuning for Time-Series Forecasting with Pre-Trained LLMs
Ching Chang, Wen-Chih Peng, and Tien-Fu Chen. 2023 · 2023
Earlier work this paper cites.
FengWu: Pushing the Skillful Global Medium-range Weather Forecast beyond 10 Days Lead
Kang Chen, Tao Han, Junchao Gong, Lei Bai, Fenghua Ling, Jing-Jia Luo, Xi Chen, Leiming Ma, Tianning Zhang, Rui Su, et al · 2023
Earlier work this paper cites.
TrajGDM: A New Trajectory Foundation Model for Simulating Human Mobility. In Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems . 1–2
Chen Chu, Hengcai Zhang, and Feng Lu. 2023 · 2023
Earlier work this paper cites.
Llm powered sim-to-real transfer for traffic signal control
Longchao Da, Minchiuan Gao, Hao Mei, and Hua Wei. 2023 · 2023
Earlier work this paper cites.
Retrieval-augmented generation for large language models: A survey
Yunfan Gao, Yun Xiong, Xinyu Gao, Kangxiang Jia, Jinliu Pan, Yuxi Bi, Yi Dai, Jiawei Sun, and Haofen Wang. 2023 · 2023
Earlier work this paper cites.
Vinicius G Goecks and Nicholas R Waytowich. 2023 · 2023
Earlier work this paper cites.
Large language models are zero-shot time series forecasters
Nate Gruver, Marc Finzi, Shikai Qiu, and Andrew Gordon Wilson. 2023 · 2023
Earlier work this paper cites.
Language models represent space and time
Wes Gurnee and Max Tegmark. 2023 · 2023
Earlier work this paper cites.
Spatio-temporal graph neural networks for predictive learning in urban computing: A survey
Guangyin Jin, Yuxuan Liang, Yuchen Fang, Zezhi Shao, Jincai Huang, Junbo Zhang, and Yu Zheng. 2023a · 2023
Earlier work this paper cites.
Time-LLM: Time series forecasting by reprogramming large language models
Ming Jin, Shiyu Wang, Lintao Ma, Zhixuan Chu, James Y Zhang, Xiaoming Shi, Pin-Yu Chen, Yuxuan Liang, Yuan-Fang Li, Shirui Pan, et al · 2023
Earlier work this paper cites.
Large models for time series and spatio-temporal data: A survey and outlook
Ming Jin, Qingsong Wen, Yuxuan Liang, Chaoli Zhang, Siqiao Xue, Xue Wang, James Zhang, Yi Wang, Haifeng Chen, Xiaoli Li, et al · 2023
Earlier work this paper cites.
Ye Jin, Xiaoxi Shen, Huiling Peng, Xiaoan Liu, Jingli Qin, Jiayang Li, Jintao Xie, Peizhong Gao, Guyue Zhou, and Jiangtao Gong. 2023b · 2023
Earlier work this paper cites.
GraphCast: Learning skillful medium-range global weather forecasting
Remi Lam, Alvaro Sanchez-Gonzalez, Matthew Willson, Peter Wirnsberger, Meire Fortunato, Ferran Alet, Suman Ravuri, Timo Ewalds, Zach Eaton-Rosen, Weihua Hu, et al · 2023
Earlier work this paper cites.
Geolm: Empowering language models for geospatially grounded language understanding
Zekun Li, Wenxuan Zhou, Yao-Yi Chiang, and Muhao Chen. 2023 · 2023
Earlier work this paper cites.
Exploring large language models for human mobility prediction under public events
Yuebing Liang, Yichao Liu, Xiaohan Wang, and Zhan Zhao. 2023a · 2023
Earlier work this paper cites.
Urbankg: An urban knowledge graph system
Yu Liu, Jingtao Ding, Yanjie Fu, and Yong Li. 2023 · 2023
Earlier work this paper cites.
W-MAE: Pre-trained weather model with masked autoencoder for multi-variable weather forecasting
Xin Man, Chenghong Zhang, Changyu Li, and Jie Shao. 2023 · 2023
Earlier work this paper cites.
Geollm: Extracting geospatial knowledge from large language models
Rohin Manvi, Samar Khanna, Gengchen Mai, Marshall Burke, David Lobell, and Stefano Ermon. 2023 · 2023
Earlier work this paper cites.
IMU2CLIP: Language-grounded Motion Sensor Translation with Multimodal Contrastive Learning. In Findings of the Association for Computational Linguistics: EMNLP 2023 . 13246–13253
Seungwhan Moon, Andrea Madotto, Zhaojiang Lin, Aparajita Saraf, Amy Bearman, and Babak Damavandi. 2023 · 2023
Earlier work this paper cites.
Towards A Foundation Model For Trajectory Intelligence. In IEEE ICDMW . IEEE, 832–835
Alameen Najjar. 2023 · 2023
Earlier work this paper cites.
ClimaX: A foundation model for weather and climate
Tung Nguyen, Johannes Brandstetter, Ashish Kapoor, Jayesh K Gupta, and Aditya Grover. 2023 · 2023
Earlier work this paper cites.
Generative agents: Interactive simulacra of human behavior. In Proceedings of the 36th annual acm symposium on user interface software and technology . 1–22
Joon Sung Park, Joseph O’Brien, Carrie Jun Cai, Meredith Ringel Morris, Percy Liang, and Michael S Bernstein. 2023 · 2023
Earlier work this paper cites.
Because every sensor is unique, so is every pair: Handling dynamicity in traffic forecasting. In Proceedings of the 8th ACM/IEEE Conference on Internet of Things Design and Implementation . 93–104
Arian Prabowo, Wei Shao, Hao Xue, Piotr Koniusz, and Flora D Salim. 2023 · 2023
Earlier work this paper cites.
Multiple-level point embedding for solving human trajectory imputation with prediction
Kyle K Qin, Yongli Ren, Wei Shao, Brennan Lake, Filippo Privitera, and Flora D Salim. 2023 · 2023
Earlier work this paper cites.
Languagempc: Large language models as decision makers for autonomous driving
Hao Sha, Yao Mu, Yuxuan Jiang, Li Chen, Chenfeng Xu, Ping Luo, Shengbo Eben Li, Masayoshi Tomizuka, Wei Zhan, and Mingyu Ding. 2023 · 2023
Earlier work this paper cites.
Language models can improve event prediction by few-shot abductive reasoning
Xiaoming Shi, Siqiao Xue, Kangrui Wang, Fan Zhou, James Zhang, Jun Zhou, Chenhao Tan, and Hongyuan Mei. 2023 · 2023
Earlier work this paper cites.
MOTOR: A Time-To-Event Foundation Model For Structured Medical Records
Ethan Steinberg, Jason Fries, Yizhe Xu, and Nigam Shah. 2023 · 2023
Earlier work this paper cites.
ChatClimate: Grounding conversational AI in climate science
Saeid Ashraf Vaghefi, Dominik Stammbach, Veruska Muccione, Julia Bingler, Jingwei Ni, Mathias Kraus, Simon Allen, Chiara Colesanti-Senni, Tobias Wekhof, Tobias Schimanski, et al · 2023
Earlier work this paper cites.
Building transportation foundation model via generative graph transformer. In 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC) . IEEE, 6042–6047
Xuhong Wang, Ding Wang, Liang Chen, Fei-Yue Wang, and Yilun Lin. 2023b · 2023
Earlier work this paper cites.
Diffstg: Probabilistic spatio-temporal graph forecasting with denoising diffusion models. In ACM SIGSPATIAL . 1–12
Haomin Wen, Youfang Lin, Yutong Xia, Huaiyu Wan, Qingsong Wen, Roger Zimmermann, and Yuxuan Liang. 2023 · 2023
Earlier work this paper cites.
Urban generative intelligence (ugi): A foundational platform for agents in embodied city environment
Fengli Xu, Jun Zhang, Chen Gao, Jie Feng, and Yong Li. 2023 · 2023
Cited alongside, same era.
Promptcast: A new prompt-based learning paradigm for time series forecasting
Hao Xue and Flora D Salim. 2023 · 2023
Cited alongside, same era.
Temporal data meets LLM–explainable financial time series forecasting
Xinli Yu, Zheng Chen, Yuan Ling, Shujing Dong, Zongyi Liu, and Yanbin Lu. 2023 · 2023
Cited alongside, same era.
GeoGPT: understanding and processing geospatial tasks through an autonomous GPT
Yifan Zhang, Cheng Wei, Shangyou Wu, Zhengting He, and Wenhao Yu. 2023 · 2023
Cited alongside, same era.
Generative Causal Interpretation Model for Spatio-Temporal Representation Learning. In Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining . 3537–3548
On llms-driven synthetic data generation, curation, and evaluation: A survey
Lin Long, Rui Wang, Ruixuan Xiao, Junbo Zhao, Xiao Ding, Gang Chen, and Haobo Wang. 2024a · 2024
Later among the works it cites.
A Universal Model for Human Mobility Prediction
Qingyue Long, Yuan Yuan, and Yong Li. 2024b · 2024
Later among the works it cites.
A Mamba Foundation Model for Time Series Forecasting
Haoyu Ma, Yushu Chen, Wenlai Zhao, Jinzhe Yang, Yingsheng Ji, Xinghua Xu, Xiaozhu Liu, Hao Jing, Shengzhuo Liu, and Guangwen Yang. 2024 · 2024
Later among the works it cites.
GeoLLM: Extracting Geospatial Knowledge from Large Language Models. In The Twelfth International Conference on Learning Representations
Rohin Manvi, Samar Khanna, Gengchen Mai, Marshall Burke, David B Lobell, and Stefano Ermon. 2024 · 2024
Later among the works it cites.
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alphaXiv is searching for related work…
Yu Zhao, Pan Deng, Junting Liu, Xiaofeng Jia, and Jianwei Zhang. 2023 · 2023
Cited alongside, same era.
One Fits All: Power General Time Series Analysis by Pretrained LM
Tian Zhou, Peisong Niu, Xue Wang, Liang Sun, and Rong Jin. 2023b · 2023
Cited alongside, same era.
Vision language models in autonomous driving and intelligent transportation systems
Xingcheng Zhou, Mingyu Liu, Bare Luka Zagar, Ekim Yurtsever, and Alois C Knoll. 2023a · 2023
Cited alongside, same era.
Xizhou Zhu, Yuntao Chen, Hao Tian, Chenxin Tao, Weijie Su, Chenyu Yang, Gao Huang, Bin Li, Lewei Lu, Xiaogang Wang, et al · 2023
Cited alongside, same era.
Llm-powered synthetic environments for self-driving scenarios. In Proceedings of the AAAI Conference on Artificial Intelligence , Vol. 38. 23721–23723
Oluwanifemi Adebayo Moses Adekanye. 2024 · 2024
Cited alongside, same era.
Automated Smart City Planning through Personalized Large Language Model with Retrieval Augmented Generation. In 2024 International Conference on Information Technology and Computing (ICITCOM) . IEEE, 306–311
Nurwahyu Alamsyah, Muhamad Amirul Haq, and Chayadi Oktomy Noto Susanto. 2024 · 2024
Cited alongside, same era.
Large language models can be zero-shot anomaly detectors for time series?
Sarah Alnegheimish, Linh Nguyen, Laure Berti-Equille, and Kalyan Veeramachaneni. 2024 · 2024
Cited alongside, same era.
Chronos: Learning the language of time series
Abdul Fatir Ansari, Lorenzo Stella, Caner Turkmen, Xiyuan Zhang, Pedro Mercado, Huibin Shen, Oleksandr Shchur, Syama Sundar Rangapuram, Sebastian Pineda Arango, Shubham Kapoor, et al · 2024
Cited alongside, same era.
Justin M Mittelstädt, Julia Maier, Panja Goerke, Frank Zinn, and Michael Hermes. 2024 · 2024
Later among the works it cites.
UrbanKGent: A Unified Large Language Model Agent Framework for Urban Knowledge Graph Construction
Yansong Ning and Hao Liu. 2024 · 2024
Later among the works it cites.
UUKG: unified urban knowledge graph dataset for urban spatiotemporal prediction
Yansong Ning, Hao Liu, Hao Wang, Zhenyu Zeng, and Hui Xiong. 2024 · 2024
Later among the works it cites.
Traffic forecasting on new roads using spatial contrastive pre-training (SCPT)
Arian Prabowo, Hao Xue, Wei Shao, Piotr Koniusz, and Flora D Salim. 2024 · 2024
Later among the works it cites.
CivRealm: A Learning and Reasoning Odyssey in Civilization for Decision-Making Agents. In The Twelfth International Conference on Learning Representations
Siyuan Qi, Shuo Chen, Yexin Li, Xiangyu Kong, Junqi Wang, Bangcheng Yang, Pring Wong, Yifan Zhong, Xiaoyuan Zhang, Zhaowei Zhang, et al · 2024
Later among the works it cites.
ChinaTravel: A Real-World Benchmark for Language Agents in Chinese Travel Planning
Jie-Jing Shao, Xiao-Wen Yang, Bo-Wen Zhang, Baizhi Chen, Wen-Da Wei, Lan-Zhe Guo, and Yu-feng Li. 2024 · 2024
Later among the works it cites.
Qichao Shentu, Beibu Li, Kai Zhao, Yang Shu, Zhongwen Rao, Lujia Pan, Bin Yang, and Chenjuan Guo. 2024 · 2024
Later among the works it cites.
Are language models actually useful for time series forecasting?. In The Thirty-eighth Annual Conference on Neural Information Processing Systems
Mingtian Tan, Mike A Merrill, Vinayak Gupta, Tim Althoff, and Thomas Hartvigsen. 2024 · 2024
Later among the works it cites.
ITINERA: Integrating Spatial Optimization with Large Language Models for Open-domain Urban Itinerary Planning. In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: Industry Track . 1413–1432
Yihong Tang, Zhaokai Wang, Ao Qu, Yihao Yan, Zhaofeng Wu, Dingyi Zhuang, Jushi Kai, Kebing Hou, Xiaotong Guo, Jinhua Zhao, et al · 2024
Later among the works it cites.
Large language models as urban residents: An llm agent framework for personal mobility generation
Jiawei Wang, Renhe Jiang, Chuang Yang, Zengqing Wu, Makoto Onizuka, Ryosuke Shibasaki, Noboru Koshizuka, and Chuan Xiao. 2024a · 2024
Later among the works it cites.
Mobile-agent: Autonomous multi-modal mobile device agent with visual perception
Junyang Wang, Haiyang Xu, Jiabo Ye, Ming Yan, Weizhou Shen, Ji Zhang, Fei Huang, and Jitao Sang. 2024d · 2024
Later among the works it cites.
ROSE: Register Assisted General Time Series Forecasting with Decomposed Frequency Learning
Yihang Wang, Yuying Qiu, Peng Chen, Kai Zhao, Yang Shu, Zhongwen Rao, Lujia Pan, Bin Yang, and Chenjuan Guo. 2024b · 2024
Later among the works it cites.
Spatiotemporal-Augmented Graph Neural Networks for Human Mobility Simulation
Yu Wang, Tongya Zheng, Shunyu Liu, Zunlei Feng, Kaixuan Chen, Yunzhi Hao, and Mingli Song. 2024e · 2024
Later among the works it cites.
PTR: A Pre-trained Language Model for Trajectory Recovery
Tonglong Wei, Yan Lin, Youfang Lin, Shengnan Guo, Jilin Hu, Gao Cong, and Huaiyu Wan. 2024 · 2024
Later among the works it cites.
Unified training of universal time series forecasting transformers
Gerald Woo, Chenghao Liu, Akshat Kumar, Caiming Xiong, Silvio Savarese, and Doyen Sahoo. 2024 · 2024
Later among the works it cites.
Autonomous crowdsensing: operating and organizing crowdsensing for sensing automation
Wansen Wu, Weiyi Yang, Juanjuan Li, Yong Zhao, Zhengqiu Zhu, Bin Chen, Sihang Qiu, Yong Peng, and Fei-Yue Wang. 2024b · 2024
Later among the works it cites.
ReFound: Crafting a Foundation Model for Urban Region Understanding upon Language and Visual Foundations. In Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining . 3527–3538
Congxi Xiao, Jingbo Zhou, Yixiong Xiao, Jizhou Huang, and Hui Xiong. 2024 · 2024
Later among the works it cites.
Prompt Mining for Language Models-based Mobility Flow Forecasting. In Proceedings of the 32nd ACM International Conference on Advances in Geographic Information Systems
Hao Xue, Tianye Tang, Ali Payani, and Flora D Salim. 2024 · 2024
Later among the works it cites.
Urbanclip: Learning text-enhanced urban region profiling with contrastive language-image pretraining from the web. In Proceedings of the ACM on Web Conference 2024 . 4006–4017
Yibo Yan, Haomin Wen, Siru Zhong, Wei Chen, Haodong Chen, Qingsong Wen, Roger Zimmermann, and Yuxuan Liang. 2024a · 2024
Later among the works it cites.
OpenCity: A Scalable Platform to Simulate Urban Activities with Massive LLM Agents
Yuwei Yan, Qingbin Zeng, Zhiheng Zheng, Jingzhe Yuan, Jie Feng, Jun Zhang, Fengli Xu, and Yong Li. 2024b · 2024
Later among the works it cites.
Thinking in space: How multimodal large language models see, remember, and recall spaces
Jihan Yang, Shusheng Yang, Anjali W Gupta, Rilyn Han, Li Fei-Fei, and Saining Xie. 2024c · 2024
Later among the works it cites.
TimeRAG: BOOSTING LLM Time Series Forecasting via Retrieval-Augmented Generation
Silin Yang, Dong Wang, Haoqi Zheng, and Ruochun Jin. 2024b · 2024
Later among the works it cites.
Ad-llm: Benchmarking large language models for anomaly detection
Tiankai Yang, Yi Nian, Shawn Li, Ruiyao Xu, Yuangang Li, Jiaqi Li, Zhuo Xiao, Xiyang Hu, Ryan Rossi, Kaize Ding, et al · 2024
Later among the works it cites.
A Foundation Model for Unified Urban Spatio-Temporal Flow Prediction
Yuan Yuan, Jingtao Ding, Chonghua Han, Depeng Jin, and Yong Li. 2024b · 2024
Later among the works it cites.
Urbandit: A foundation model for open-world urban spatio-temporal learning
Yuan Yuan, Chonghua Han, Jingtao Ding, Depeng Jin, and Yong Li. 2024c · 2024
Later among the works it cites.
Chatearthnet: A global-scale, high-quality image-text dataset for remote sensing
Zhenghang Yuan, Zhitong Xiong, Lichao Mou, and Xiao Xiang Zhu. 2024e · 2024
Later among the works it cites.
Semantic understanding and prompt engineering for large-scale traffic data imputation
Kunpeng Zhang, Feng Zhou, Lan Wu, Na Xie, and Zhengbing He. 2024h · 2024
Later among the works it cites.
Large Language Models as Event Forecasters
Libo Zhang and Yue Ning. 2024 · 2024
Later among the works it cites.
A Survey of Generative Techniques for Spatial-Temporal Data Mining
Qianru Zhang, Haixin Wang, Cheng Long, Liangcai Su, Xingwei He, Jianlong Chang, Tailin Wu, Hongzhi Yin, Siu-Ming Yiu, Qi Tian, et al · 2024
Later among the works it cites.
Trafficgpt: Viewing, processing and interacting with traffic foundation models
Siyao Zhang, Daocheng Fu, Wenzhe Liang, Zhao Zhang, Bin Yu, Pinlong Cai, and Baozhen Yao. 2024a · 2024
Later among the works it cites.
Urban region representation learning with human trajectories: a multi-view approach incorporating transition, spatial, and temporal perspectives
Yu Zhang, Weiming Huang, Yao Yao, Song Gao, Lizhen Cui, and Zhongmin Yan. 2024c · 2024
Later among the works it cites.
A comprehensive survey on traffic missing data imputation
Yimei Zhang, Xiangjie Kong, Wenfeng Zhou, Jin Liu, Yanjie Fu, and Guojiang Shen. 2024d · 2024
Later among the works it cites.
SITUATEDGEN: incorporating geographical and temporal contexts into generative commonsense reasoning
Yunxiang Zhang and Xiaojun Wan. 2024 · 2024
Later among the works it cites.
Urbancross: Enhancing satellite image-text retrieval with cross-domain adaptation. In Proceedings of the 32nd ACM International Conference on Multimedia . 6307–6315
Siru Zhong, Xixuan Hao, Yibo Yan, Ying Zhang, Yangqiu Song, and Yuxuan Liang. 2024 · 2024
Later among the works it cites.
Large language model for participatory urban planning
Zhilun Zhou, Yuming Lin, Depeng Jin, and Yong Li. 2024c · 2024
Later among the works it cites.
Can LLMs Understand Time Series Anomalies?
Zihao Zhou and Rose Yu. 2024 · 2024
Later among the works it cites.
UniTraj: Universal Human Trajectory Modeling from Billion-Scale Worldwide Traces
Yuanshao Zhu, James Jianqiao Yu, Xiangyu Zhao, Xuetao Wei, and Yuxuan Liang. 2024c · 2024
Later among the works it cites.
Conversational Crowdsensing: A Parallel Intelligence Powered Novel Sensing Approach
Zhengqiu Zhu, Yong Zhao, Bin Chen, Sihang Qiu, Kai Xu, Quanjun Yin, Jincai Huang, Zhong Liu, and Fei-Yue Wang. 2024d · 2024
Later among the works it cites.
Spatio-Temporal Foundation Models: Vision, Challenges, and Opportunities
Adam Goodge, Wee Siong Ng, Bryan Hooi, and See Kiong Ng. 2025 · 2025
Closest in time.
Deepseek-r1: Incentivizing reasoning capability in llms via reinforcement learning
Daya Guo, Dejian Yang, Haowei Zhang, Junxiao Song, Ruoyu Zhang, Runxin Xu, Qihao Zhu, Shirong Ma, Peiyi Wang, Xiao Bi, et al · 2025
Closest in time.
Urban sensing in the era of large language models
Ce Hou, Fan Zhang, Yong Li, Haifeng Li, Gengchen Mai, Yuhao Kang, Ling Yao, Wenhao Yu, Yao Yao, Song Gao, et al · 2025
Closest in time.
Explainable Multi-modal Time Series Prediction with LLM-in-the-Loop
Yushan Jiang, Wenchao Yu, Geon Lee, Dongjin Song, Kijung Shin, Wei Cheng, Yanchi Liu, and Haifeng Chen. 2025 · 2025
Closest in time.
TrajLLM: A Modular LLM-Enhanced Agent-Based Framework for Realistic Human Trajectory Simulation
Chenlu Ju, Jiaxin Liu, Shobhit Sinha, Hao Xue, and Flora Salim. 2025 · 2025
Closest in time.
Large language models as traffic signal control agents: Capacity and opportunity. In Proceedings of the 31st ACM SIGKDD conference on knowledge discovery and data mining
Siqi Lai, Zhao Xu, Weijia Zhang, Hao Liu, and Hui Xiong. 2025 · 2025
Closest in time.
Geon Lee, Wenchao Yu, Kijung Shin, Wei Cheng, and Haifeng Chen. 2025 · 2025
Closest in time.
STMA: A Spatio-Temporal Memory Agent for Long-Horizon Embodied Task Planning
Mingcong Lei, Yiming Zhao, Ge Wang, Zhixin Mai, Shuguang Cui, Yatong Han, and Jinke Ren. 2025b · 2025
Closest in time.
Harnessing Large Language Models for Disaster Management: A Survey
Zhenyu Lei, Yushun Dong, Weiyu Li, Rong Ding, Qi Wang, and Jundong Li. 2025a · 2025
Closest in time.
Emergence of human-like polarization among large language model agents
Jinghua Piao, Zhihong Lu, Chen Gao, Fengli Xu, Fernando P Santos, Yong Li, and James Evans. 2025 · 2025
Closest in time.
Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts. In The Thirteenth International Conference on Learning Representations (ICLR)
Xiaoming Shi, Shiyu Wang, Yuqi Nie, Dianqi Li, Zhou Ye, Qingsong Wen, and Ming Jin. 2025 · 2025
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