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As cities continue to burgeon, Urban Computing emerges as a pivotal discipline for sustainable development by harnessing the power of cross-domain data fusion from diverse sources (e.g., geographical, traffic, social media, and environmental data) and modalities (e.g., spatio-temporal, visual, and textual modalities).
Language models are few-shot learners
Brown, T., Mann, B., Ryder, N., Subbiah, M., Kaplan, J.D., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A., et al., 2020 · 1901
Earlier work this paper cites.
Stg2seq: Spatial-temporal graph to sequence model for multi-step passenger demand forecasting
Bai, L., Yao, L., Kanhere, S., Wang, X., Sheng, Q., et al., 2019a · 1905
Earlier work this paper cites.
Geng, X., Wu, X., Zhang, L., Yang, Q., Liu, Y., Ye, J., 2019b · 1905
Earlier work this paper cites.
Graph wavenet for deep spatial-temporal graph modeling
Wu, Z., Pan, S., Long, G., Jiang, J., Zhang, C., 2019b · 1906
Earlier work this paper cites.
Large language models in medicine
Thirunavukarasu, A.J., Ting, D.S.J., Elangovan, K., Gutierrez, L., Tan, T.F., Ting, D.S.W., 2023 · 1940
Earlier work this paper cites.
Flow control: A comparative survey
Gerla, M., Kleinrock, L., 1980 · 1980
Earlier work this paper cites.
A deep learning model for air quality prediction in smart cities, in: 2017 IEEE international conference on big data (big data), IEEE. pp. 1983–1990
Kök, İ., Şimşek, M.U., Özdemir, S., 2017 · 1990
Earlier work this paper cites.
Causality: models, reasoning, and inference, by judea pearl, cambridge university press, 2000
Neuberg, L.G., 2003 · 2000
Earlier work this paper cites.
Scaling laws for neural language models
Kaplan, J., McCandlish, S., Henighan, T., Brown, T.B., Chess, B., Child, R., Gray, S., Radford, A., Wu, J., Amodei, D., 2020 · 2001
Earlier work this paper cites.
Models for traffic control
Bellemans, T., De Schutter, B., De Moor, B., 2002 · 2002
Earlier work this paper cites.
Unsupervised representation learning of spatial data via multimodal embedding, in: Proceedings of the 28th ACM International Conference on Information and Knowledge Management, Association for Computing Machinery, New York, NY, USA. pp. 1993–2002
Jenkins, P., Farag, A., Wang, S., Li, Z., 2019 · 2002
Earlier work this paper cites.
Tobler’s first law and spatial analysis
Miller, H.J., 2004 · 2004
Earlier work this paper cites.
Differential privacy: A survey of results, in: International conference on theory and applications of models of computation, Springer. pp. 1–19
Dwork, C., 2008 · 2008
Earlier work this paper cites.
Understanding mobility based on gps data, in: Proceedings of the 10th international conference on Ubiquitous computing, pp. 312–321
Zheng, Y., Li, Q., Chen, Y., Xie, X., Ma, W.Y., 2008 · 2008
Earlier work this paper cites.
Grvs: a georeferenced video search engine, in: Proceedings of the 17th ACM International Conference on Multimedia, pp. 977–978
Arslan Ay, S., Zhang, L., Kim, S.H., He, M., Zimmermann, R., 2009 · 2009
Earlier work this paper cites.
Nus-wide: A real-world web image database from national university of singapore, in: ACM International Conference on Image and Video Retrieval, pp. 48:1–48:9
Chua, T.S., Tang, J., Hong, R., Li, H., Luo, Z., Zheng, Y., 2009 · 2009
Earlier work this paper cites.
The economy needs agent-based modelling
Farmer, J.D., Foley, D., 2009 · 2009
Earlier work this paper cites.
Mining interesting locations and travel sequences from gps trajectories, in: Proceedings of the 18th international conference on World wide web, pp. 791–800
Zheng, Y., Zhang, L., Xie, X., Ma, W.Y., 2009 · 2009
Earlier work this paper cites.
The leverage cycle
Geanakoplos, J., 2010 · 2010
Earlier work this paper cites.
T-drive: driving directions based on taxi trajectories, in: Proceedings of the 18th SIGSPATIAL International conference on advances in geographic information systems, pp. 99–108
Yuan, J., Zheng, Y., Zhang, C., Xie, W., Xie, X., Sun, G., Huang, Y., 2010 · 2010
Earlier work this paper cites.
Geolife: A collaborative social networking service among user, location and trajectory.
Zheng, Y., Xie, X., Ma, W.Y., et al., 2010 · 2010
Earlier work this paper cites.
Driving with knowledge from the physical world, in: Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining, pp. 316–324
Yuan, J., Zheng, Y., Xie, X., Sun, G., 2011 · 2011
Earlier work this paper cites.
Imagenet classification with deep convolutional neural networks
Krizhevsky, A., Sutskever, I., Hinton, G.E., 2012 · 2012
Earlier work this paper cites.
Knowledge fusion for probabilistic generative classifiers with data mining applications
Fisch, D., Kalkowski, E., Sick, B., 2013 · 2013
Earlier work this paper cites.
Training and analysing deep recurrent neural networks
Hermans, M., Schrauwen, B., 2013 · 2013
Earlier work this paper cites.
U-air: When urban air quality inference meets big data, in: Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining, pp. 1436–1444
Zheng, Y., Liu, F., Hsieh, H.P., 2013 · 2013
Earlier work this paper cites.
Mediaq: mobile multimedia management system, in: Proceedings of the 5th ACM Multimedia Systems Conference, pp. 224–235
Kim, S.H., Lu, Y., Constantinou, G., Shahabi, C., Wang, G., Zimmermann, R., 2014 · 2014
Earlier work this paper cites.
Dynamic clustering of multi-modal sensor networks in urban scenarios
Wen, Y., Bein, D., Phoha, S., 2014 · 2014
Earlier work this paper cites.
A cloud-based knowledge discovery system for monitoring fine-grained air quality
Zheng, Y., Chen, X., Jin, Q., Chen, Y., Qu, X., Liu, X., Chang, E., Ma, W.Y., Rui, Y., Sun, W., 2014b · 2014
Earlier work this paper cites.
Hierarchal assessment of noise pollution in urban areas–a case study
Abbaspour, M., Karimi, E., Nassiri, P., Monazzam, M.R., Taghavi, L., 2015 · 2015
Earlier work this paper cites.
On information coverage for location category based point-of-interest recommendation
Chen, X., Zeng, Y., Cong, G., Qin, S., Xiang, Y., Dai, Y., 2015 · 2015
Earlier work this paper cites.
Personalized route recommendation using big trajectory data, in: 2015 IEEE 31st international conference on data engineering, IEEE. pp. 543–554
Dai, J., Yang, B., Guo, C., Ding, Z., 2015 · 2015
Earlier work this paper cites.
Cities and transportation
Doi, K., 2015 · 2015
Earlier work this paper cites.
Convolutional lstm network: A machine learning approach for precipitation nowcasting
Shi, X., Chen, Z., Wang, H., Yeung, D.Y., Wong, W.K., Woo, W.c., 2015 · 2015
Earlier work this paper cites.
The new data and new challenges in multimedia research
Thomee, B., Shamma, D.A., Friedland, G., Elizalde, B., Ni, K.H., Poland, D., Borth, D., Li, L.J., 2015 · 2015
Earlier work this paper cites.
Citywide traffic congestion estimation with social media, in: Proceedings of the 23rd SIGSPATIAL international conference on advances in geographic information systems, pp. 1–10
Wang, S., He, L., Stenneth, L., Yu, P.S., Li, Z., 2015 · 2015
Earlier work this paper cites.
Semantic annotation of mobility data using social media, in: Proceedings of the 24th international conference on world wide web, pp. 1253–1263
Wu, F., Li, Z., Lee, W.C., Wang, H., Huang, Z., 2015 · 2015
Earlier work this paper cites.
Personalized travel package with multi-point-of-interest recommendation based on crowdsourced user footprints
Yu, Z., Xu, H., Yang, Z., Guo, B., 2015 · 2015
Earlier work this paper cites.
Multi-task learning for spatio-temporal event forecasting, in: Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Association for Computing Machinery, New York, NY, USA. p. 1503–1512
Zhao, L., Sun, Q., Ye, J., Chen, F., Lu, C.T., Ramakrishnan, N., 2015 · 2015
Earlier work this paper cites.
Methodologies for cross-domain data fusion: An overview
Zheng, Y., 2015 · 2015
Earlier work this paper cites.
Forecasting fine-grained air quality based on big data, in: Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Association for Computing Machinery, New York, NY, USA. pp. 2267–2276
Zheng, Y., Yi, X., Li, M., Li, R., Shan, Z., Chang, E., Li, T., 2015 · 2015
Earlier work this paper cites.
A nonparametric model for event discovery in the geospatial-temporal space, in: Proceedings of the 25th ACM International on Conference on Information and Knowledge Management, Association for Computing Machinery, New York, NY, USA. pp. 499–508
Guo, J., Gong, Z., 2016 · 2016
Earlier work this paper cites.
Exploiting spatial-temporal-social constraints for localness inference using online social media, in: 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), pp. 287–294
Huang, C., Wang, D., 2016 · 2016
Earlier work this paper cites.
Structural-rnn: Deep learning on spatio-temporal graphs, in: Proceedings of the ieee conference on computer vision and pattern recognition, pp. 5308–5317
Jain, A., Zamir, A.R., Savarese, S., Saxena, A., 2016 · 2016
Earlier work this paper cites.
Urban sensing based on human mobility, in: Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, pp. 1040–1051
Ji, S., Zheng, Y., Li, T., 2016 · 2016
Earlier work this paper cites.
Geougv: User-generated mobile video dataset with fine granularity spatial metadata, in: Proceedings of the 7th international conference on multimedia systems, pp. 1–6
Lu, Y., To, H., Alfarrarjeh, A., Kim, S.H., Yin, Y., Zimmermann, R., Shahabi, C., 2016 · 2016
Earlier work this paper cites.
Public transportation and sustainability: A review
Miller, P., de Barros, A.G., Kattan, L., Wirasinghe, S., 2016 · 2016
Earlier work this paper cites.
A study and analysis of recommendation systems for location-based social network (LBSN) with big data
Narayanan, M., Cherukuri, A.K., 2016 · 2016
Earlier work this paper cites.
Causal inference in statistics: A primer. 2016
Pearl, J., Glymour, M., Jewell, N.P., 2016 · 2016
Earlier work this paper cites.
Deeptransport: Prediction and simulation of human mobility and transportation mode at a citywide level, in: Proceedings of the twenty-fifth international joint conference on artificial intelligence, pp. 2618–2624
Song, X., Kanasugi, H., Shibasaki, R., 2016 · 2016
Earlier work this paper cites.
Optimizing the locations of electric taxi charging stations: A spatial–temporal demand coverage approach
Tu, W., Li, Q., Fang, Z., Shaw, S.l., Zhou, B., Chang, X., 2016 · 2016
Earlier work this paper cites.
GeoSocialBound: An efficient framework for estimating social POI boundaries using spatio–textual information, in: Proceedings of the Third International ACM SIGMOD Workshop on Managing and Mining Enriched Geo-Spatial Data, ACM, San Francisco California. pp. 1–6
Vu, D.D., To, H., Shin, W.Y., Shahabi, C., 2016 · 2016
Earlier work this paper cites.
Estimating urban traffic congestions with multi-sourced data, in: 2016 17th IEEE International conference on mobile data management (MDM), IEEE. pp. 82–91
Wang, S., He, L., Stenneth, L., Philip, S.Y., Li, Z., Huang, Z., 2016a · 2016
Earlier work this paper cites.
Enhancing traffic congestion estimation with social media by coupled hidden markov model, in: Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2016, Riva del Garda, Italy, September 19-23, 2016, Proceedings, Part II 16, Springer. pp. 247–264
Wang, S., Li, F., Stenneth, L., Yu, P.S., 2016b · 2016
Earlier work this paper cites.
Updating road networks by local renewal from gps trajectories
Wu, T., Xiang, L., Gong, J., 2016 · 2016
Earlier work this paper cites.
Dnn-based prediction model for spatio-temporal data, in: Proceedings of the 24th ACM SIGSPATIAL international conference on advances in geographic information systems, pp. 1–4
Zhang, J., Zheng, Y., Qi, D., Li, R., Yi, X., 2016 · 2016
Earlier work this paper cites.
Noisesense: Crowdsourced context aware sensing for real time noise pollution monitoring of the city, in: 2017 IEEE international conference on advanced networks and telecommunications systems (ANTS), IEEE. pp. 1–6
Dutta, J., Pramanick, P., Roy, S., 2017 · 2017
Earlier work this paper cites.
Forecasting of ozone concentration in smart city using deep learning, in: 2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI), IEEE. pp. 1320–1326
Ghoneim, O.A., Manjunatha, B., et al., 2017 · 2017
Earlier work this paper cites.
DeepMob: Learning deep knowledge of human emergency behavior and mobility from big and heterogeneous data
Song, X., Shibasaki, R., Yuan, N.J., Xie, X., Li, T., Adachi, R., 2017 · 2017
Earlier work this paper cites.
Attention is all you need
Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A.N., Kaiser, Ł., Polosukhin, I., 2017 · 2017
Earlier work this paper cites.
Mining spatio-temporal reachable regions over massive trajectory data, in: 2017 IEEE 33rd International Conference on Data Engineering (ICDE), pp. 1283–1294
Wu, G., Ding, Y., Li, Y., Bao, J., Zheng, Y., Luo, J., 2017 · 2017
Earlier work this paper cites.
Spatio-temporal graph convolutional networks: A deep learning framework for traffic forecasting
Yu, B., Yin, H., Zhu, Z., 2017 · 2017
Earlier work this paper cites.
Pred: Periodic region detection for mobility modeling of social media users, in: Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, pp. 263–272
Yuan, Q., Zhang, W., Zhang, C., Geng, X., Cong, G., Han, J., 2017 · 2017
Earlier work this paper cites.
Deep spatio-temporal residual networks for citywide crowd flows prediction, in: Proceedings of the AAAI conference on artificial intelligence
Zhang, J., Zheng, Y., Qi, D., 2017 · 2017
Earlier work this paper cites.
Photo2trip: Exploiting visual contents in geo-tagged photos for personalized tour recommendation, in: Proceedings of the 25th ACM international conference on Multimedia, pp. 916–924
Zhao, P., Xu, X., Liu, Y., Sheng, V.S., Zheng, K., Xiong, H., 2017 · 2017
Earlier work this paper cites.
Effect of short-term regional traffic restriction on urban submicron particulate pollution
Zhao, S., Yu, Y., 2017 · 2017
Earlier work this paper cites.
Multimodal machine learning: A survey and taxonomy
Baltrušaitis, T., Ahuja, C., Morency, L.P., 2018 · 2018
Earlier work this paper cites.
Human mobility: Models and applications
Barbosa, H., Barthelemy, M., Ghoshal, G., James, C.R., Lenormand, M., Louail, T., Menezes, R., Ramasco, J.J., Simini, F., Tomasini, M., 2018 · 2018
Earlier work this paper cites.
RADAR: Road obstacle identification for disaster response leveraging cross-domain urban data
Chen, L., Fan, X., Wang, L., Zhang, D., Yu, Z., Li, J., Thi Mai Trang, N., Pan, G., Wang, C., 2018 · 2018
Earlier work this paper cites.
Bert: Pre-training of deep bidirectional transformers for language understanding
Devlin, J., Chang, M.W., Lee, K., Toutanova, K., 2018 · 2018
Earlier work this paper cites.
An optimal charging station location model with the consideration of electric vehicle’s driving range
He, J., Yang, H., Tang, T.Q., Huang, H.J., 2018 · 2018
Earlier work this paper cites.
Deepcrime: Attentive hierarchical recurrent networks for crime prediction, in: Proceedings of the 27th ACM international conference on information and knowledge management, pp. 1423–1432
Huang, C., Zhang, J., Zheng, Y., Chawla, N.V., 2018 · 2018
Earlier work this paper cites.
Smart city: A system for measuring noise pollution
JEZDOVIÄ, I., NEDELJKOVIÄ, N., Å 1 / 2 1/2 IVOJINOVIÄ, L., RADENKOVIÄ, B., Labus, A., 2018 · 2018
Earlier work this paper cites.
Air quality prediction: Big data and machine learning approaches
Kang, G.K., Gao, J.Z., Chiao, S., Lu, S., Xie, G., 2018 · 2018
Earlier work this paper cites.
Geoman: Multi-level attention networks for geo-sensory time series prediction., in: IJCAI, pp. 3428–3434
Liang, Y., Ke, S., Zhang, J., Yi, X., Zheng, Y., 2018 · 2018
Earlier work this paper cites.
Lc-rnn: A deep learning model for traffic speed prediction., in: IJCAI, p. 27th
Lv, Z., Xu, J., Zheng, K., Yin, H., Zhao, P., Zhou, X., 2018 · 2018
Earlier work this paper cites.
Representation learning with contrastive predictive coding
Oord, A.v.d., Li, Y., Vinyals, O., 2018 · 2018
Earlier work this paper cites.
How use of location-based social network (LBSN) services contributes to accumulation of social capital
Park, K.G., Han, S., 2018 · 2018
Earlier work this paper cites.
Forecasting citywide traffic congestion based on social media
Shen, D., Zhang, L., Cao, J., Wang, S., 2018 · 2018
Earlier work this paper cites.
A study of tourist sequential activity pattern through location based social network (LBSN), in: 2018 International Conference on Orange Technologies (ICOT), pp. 1–8
Talpur, A., Zhang, Y., 2018 · 2018
Earlier work this paper cites.
Deep multi-view spatial-temporal network for taxi demand prediction, in: Proceedings of the AAAI conference on artificial intelligence
Yao, H., Wu, F., Ke, J., Tang, X., Jia, Y., Lu, S., Gong, P., Ye, J., Li, Z., 2018 · 2018
Earlier work this paper cites.
Deep distributed fusion network for air quality prediction, in: Proceedings of the 24th ACM SIGKDD international conference on knowledge discovery & data mining, pp. 965–973
Yi, X., Zhang, J., Wang, Z., Li, T., Zheng, Y., 2018 · 2018
Earlier work this paper cites.
Short-term local weather forecast using dense weather station by deep neural network, in: 2018 IEEE international conference on big data (big data), IEEE. pp. 1683–1690
Yonekura, K., Hattori, H., Suzuki, T., 2018 · 2018
Earlier work this paper cites.
Mobility prediction: A survey on state-of-the-art schemes and future applications
Zhang, H., Dai, L., 2018 · 2018
Earlier work this paper cites.
Predicting citywide crowd flows using deep spatio-temporal residual networks
Zhang, J., Zheng, Y., Qi, D., Li, R., Yi, X., Li, T., 2018 · 2018
Earlier work this paper cites.
Data-driven crowd simulation with generative adversarial networks, in: Proceedings of the 32nd International Conference on Computer Animation and Social Agents, pp. 7–10
Amirian, J., Van Toll, W., Hayet, J.B., Pettré, J., 2019 · 2019
Earlier work this paper cites.
Beyond geo-first law: Learning spatial representations via integrated autocorrelations and complementarity, in: 2019 IEEE International Conference on Data Mining (ICDM), pp. 160–169
Du, J., Zhang, Y., Wang, P., Leopold, J., Fu, Y., 2019 · 2019
Earlier work this paper cites.
Efficient region embedding with multi-view spatial networks: A perspective of locality-constrained spatial autocorrelations, in: Proceedings of the AAAI Conference on Artificial Intelligence, pp. 906–913
Fu, Y., Wang, P., Du, J., Wu, L., Li, X., 2019 · 2019
Earlier work this paper cites.
Classifying street spaces with street view images for a spatial indicator of urban functions
Gong, Z., Ma, Q., Kan, C., Qi, Q., 2019 · 2019
Earlier work this paper cites.
Rod-revenue: Seeking strategies analysis and revenue prediction in ride-on-demand service using multi-source urban data
Guo, S., Chen, C., Wang, J., Liu, Y., Xu, K., Yu, Z., Zhang, D., Chiu, D.M., 2019 · 2019
Earlier work this paper cites.
A joint context-aware embedding for trip recommendations, in: 2019 IEEE 35th International Conference on Data Engineering (ICDE), IEEE. pp. 292–303
He, J., Qi, J., Ramamohanarao, K., 2019 · 2019
Earlier work this paper cites.
DeepUrbanEvent: A system for predicting citywide crowd dynamics at big events, in: Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, Association for Computing Machinery, New York, NY, USA. pp. 2114–2122
Jiang, R., Song, X., Huang, D., Song, X., Xia, T., Cai, Z., Wang, Z., Kim, K.S., Shibasaki, R., 2019 · 2019
Earlier work this paper cites.
Urbanization and rural–urban consumption disparity: Evidence from china
Li, J., Cheong, T.S., Shen, J., Fu, D., 2019 · 2019
Earlier work this paper cites.
Deepstn+: Context-aware spatial-temporal neural network for crowd flow prediction in metropolis, in: Proceedings of the AAAI conference on artificial intelligence, pp. 1020–1027
Lin, Z., Feng, J., Lu, Z., Li, Y., Jin, D., 2019 · 2019
Earlier work this paper cites.
Integrating gps trajectory and topics from twitter stream for human mobility estimation
Miyazawa, S., Song, X., Xia, T., Shibasaki, R., Kaneda, H., 2019 · 2019
Earlier work this paper cites.
Vehicle Energy Dataset (VED), a large-scale dataset for vehicle energy consumption research
Oh, G., Leblanc, D., Peng, H., 2019 · 2019
Earlier work this paper cites.
Urban traffic prediction from spatio-temporal data using deep meta learning, in: Proceedings of the 25th ACM SIGKDD international conference on knowledge discovery & data mining, pp. 1720–1730
Pan, Z., Liang, Y., Wang, W., Yu, Y., Zheng, Y., Zhang, J., 2019 · 2019
Earlier work this paper cites.
Urban mobility report 2019
Schrank, D., Eisele, B., Lomax, T., et al., 2019 · 2019
Cited alongside, same era.
Applications of artificial neural networks in health care organizational decision-making: A scoping review
Shahid, N., Rappon, T., Berta, W., 2019 · 2019
Cited alongside, same era.
Sustainable personal transport modes in a life cycle perspective—public or private?
Sinha, R., Olsson, L.E., Frostell, B., 2019 · 2019
Cited alongside, same era.
Deep learning prediction of incoming rainfalls: An operational service for the city of beijing china, in: 2019 International Conference on Data Mining Workshops (ICDMW), IEEE. pp. 180–185
Song, K., Yang, G., Wang, Q., Xu, C., Liu, J., Liu, W., Shi, C., Wang, Y., Zhang, G., Yu, X., et al., 2019b · 2019
Cited alongside, same era.
Recent advances of deep learning in bioinformatics and computational biology
Tang, B., Pan, Z., Yin, K., Khateeb, A., 2019 · 2019
Cited alongside, same era.
Jointly contrastive representation learning on road network and trajectory, in: Proceedings of the 31st ACM International Conference on Information & Knowledge Management, pp. 1501–1510
Mao, Z., Li, Z., Li, D., Bai, L., Zhao, R., 2022 · 2022
Later among the works it cites.
Realroi: Discovering real regions of interest from geotagged photos
Nam, K.W., Yang, K., 2022 · 2022
Later among the works it cites.
Fusion of engineering insights and emerging trends: Intelligent urban traffic management system
Ouallane, A.A., Bakali, A., Bahnasse, A., Broumi, S., Talea, M., 2022 · 2022
Later among the works it cites.
Training language models to follow instructions with human feedback
Ouyang, L., Wu, J., Jiang, X., Almeida, D., Wainwright, C., Mishkin, P., Zhang, C., Agarwal, S., Slama, K., Ray, A., et al., 2022 · 2022
Later among the works it cites.
Points of interest (poi): a commentary on the state of the art, challenges, and prospects for the future
Psyllidis, A., Gao, S., Hu, Y., Kim, E.K., McKenzie, G., Purves, R., Yuan, M., Andris, C., 2022 · 2022
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The prevalence of ms in the united states: a population-based estimate using health claims data
Wallin, M.T., Culpepper, W.J., Campbell, J.D., Nelson, L.M., Langer-Gould, A., Marrie, R.A., Cutter, G.R., Kaye, W.E., Wagner, L., Tremlett, H., et al., 2019 · 2019
Cited alongside, same era.
Daily accessed street greenery and housing price: Measuring economic performance of human-scale streetscapes via new urban data
Ye, Y., Xie, H., Fang, J., Jiang, H., Wang, D., 2019 · 2019
Cited alongside, same era.
Gps2vec: Towards generating worldwide gps embeddings, in: Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, pp. 416–419
Yin, Y., Liu, Z., Zhang, Y., Wang, S., Shah, R.R., Zimmermann, R., 2019 · 2019
Cited alongside, same era.
Functional urban land use recognition integrating multi-source geospatial data and cross-correlations
Zhang, Y., Li, Q., Tu, W., Mai, K., Yao, Y., Chen, Y., 2019 · 2019
Cited alongside, same era.
Climate-driven risks to the climate mitigation potential of forests
Anderegg, W.R., Trugman, A.T., Badgley, G., Anderson, C.M., Bartuska, A., Ciais, P., Cullenward, D., Field, C.B., Freeman, J., Goetz, S.J., et al., 2020 · 2020
Cited alongside, same era.
Geospatial data management research: Progress and future directions
Breunig, M., Bradley, P.E., Jahn, M., Kuper, P., Mazroob, N., Rösch, N., Al-Doori, M., Stefanakis, E., Jadidi, M., 2020 · 2020
Cited alongside, same era.
Comparison of efficiency between public and private transport modes using excess commuting: An experience in dar es salaam
Bwire, H., Zengo, E., 2020 · 2020
Cited alongside, same era.
Later among the works it cites.
Forecasting fine-grained urban flows via spatio-temporal contrastive self-supervision
Qu, H., Gong, Y., Chen, M., Zhang, J., Zheng, Y., Yin, Y., 2022 · 2022
Later among the works it cites.
Modeling multi-regional temporal correlation with gated recurrent unit and multiple linear regression for urban traffic flow prediction
Rajeh, T.M., Li, T., Li, C., Javed, M.H., Luo, Z., Alhaek, F., 2023 · 2022
Later among the works it cites.
High-resolution image synthesis with latent diffusion models, in: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pp. 10684–10695
Rombach, R., Blattmann, A., Lorenz, D., Esser, P., Ommer, B., 2022 · 2022
Later among the works it cites.
Service time prediction for delivery tasks via spatial meta-learning, in: Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, pp. 3829–3837
Ruan, S., Long, C., Ma, Z., Bao, J., He, T., Li, R., Chen, Y., Wu, S., Zheng, Y., 2022 · 2022
Later among the works it cites.
Debiasing nlu models via causal intervention and counterfactual reasoning, in: Proceedings of the AAAI Conference on Artificial Intelligence, pp. 11376–11384
Tian, B., Cao, Y., Zhang, Y., Xing, C., 2022 · 2022
Later among the works it cites.
Personalized long-distance fuel-efficient route recommendation through historical trajectories mining, in: Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining, ACM, Virtual Event AZ USA. pp. 1072–1080
Wang, Z., Peng, Z., Wang, S., Song, Q., 2022 · 2022
Later among the works it cites.
Beyond the first law of geography: Learning representations of satellite imagery by leveraging point-of-interests, in: Proceedings of the ACM Web Conference 2022, ACM, Virtual Event, Lyon France. pp. 3308–3316
Xi, Y., Li, T., Wang, H., Li, Y., Tarkoma, S., Hui, P., 2022 · 2022
Later among the works it cites.
Leveraging language foundation models for human mobility forecasting, in: Proceedings of the 30th International Conference on Advances in Geographic Information Systems, pp. 1–9
Xue, H., Voutharoja, B.P., Salim, F.D., 2022 · 2022
Later among the works it cites.
DuARE: Automatic road extraction with aerial images and trajectory data at baidu maps, in: Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Association for Computing Machinery, New York, NY, USA. pp. 4321–4331
Yang, J., Ye, X., Wu, B., Gu, Y., Wang, Z., Xia, D., Huang, J., 2022 · 2022
Later among the works it cites.
Trajgat: A graph-based long-term dependency modeling approach for trajectory similarity computation, in: Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, pp. 2275–2285
Yao, D., Hu, H., Du, L., Cong, G., Han, S., Bi, J., 2022 · 2022
Later among the works it cites.
Panda: predicting road risks after natural disasters leveraging heterogeneous urban data
You, J., Muhammad, A.S., He, X., Xie, T., Wang, Z., Fan, X., Yu, Z., Chen, L., Wang, C., 2022 · 2022
Later among the works it cites.
Coca: Contrastive captioners are image-text foundation models
Yu, J., Wang, Z., Vasudevan, V., Yeung, L., Seyedhosseini, M., Wu, Y., 2022 · 2022
Later among the works it cites.
Activity trajectory generation via modeling spatiotemporal dynamics, in: Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, pp. 4752–4762
Yuan, Y., Ding, J., Wang, H., Jin, D., Li, Y., 2022 · 2022
Later among the works it cites.
Region embedding with intra and inter-view contrastive learning
Zhang, L., Long, C., Cong, G., 2023c · 2022
Later among the works it cites.
Spatio-temporal event forecasting using incremental multi-source feature learning
Zhao, L., Gao, Y., Ye, J., Chen, F., Ye, Y., Lu, C.T., Ramakrishnan, N., 2022 · 2022
Later among the works it cites.
The ai economist: Taxation policy design via two-level deep multiagent reinforcement learning
Zheng, S., Trott, A., Srinivasa, S., Parkes, D.C., Socher, R., 2022 · 2022
Later among the works it cites.
Neural attention for image captioning: review of outstanding methods
Zohourianshahzadi, Z., Kalita, J.K., 2022 · 2022
Later among the works it cites.
Geospatial analyses of recent household surveys to assess changes in the distribution of zero-dose children and their associated factors before and during the covid-19 pandemic in nigeria
Aheto, J.M.K., Olowe, I.D., Chan, H.M.T., Ekeh, A., Dieng, B., Fafunmi, B., Setayesh, H., Atuhaire, B., Crawford, J., Tatem, A.J., Utazi, C.E., 2023 · 2023
Later among the works it cites.
Geographic mapping with unsupervised multi-modal representation learning from VHR images and POIs
Bai, L., Huang, W., Zhang, X., Du, S., Cong, G., Wang, H., Liu, B., 2023 · 2023
Later among the works it cites.
Milp model for fleet and charging infrastructure decisions for fast-charging city electric bus services
Battaïa, O., Dolgui, A., Guschinsky, N., Rozin, B., 2023 · 2023
Later among the works it cites.
Rhpmf: A context-aware matrix factorization approach for understanding regional real estate market
Bin, J., Gardiner, B., Liu, H., Li, E., Liu, Z., 2023 · 2023
Later among the works it cites.
Sparks of artificial general intelligence: Early experiments with gpt-4
Bubeck, S., Chandrasekaran, V., Eldan, R., Gehrke, J., Horvitz, E., Kamar, E., Lee, P., Lee, Y.T., Li, Y., Lundberg, S., et al., 2023 · 2023
Later among the works it cites.
Automatic construction of POI address lists at city streets from geo-tagged photos and web data: a case study of San Jose City
Bui, T.H., 2023 · 2023
Later among the works it cites.
M 2 g4rtp: A multi-level and multi-task graph model for instant-logistics route and time joint prediction, in: 2023 IEEE 39th International Conference on Data Engineering (ICDE), IEEE. pp. 3296–3308
Cai, T., Wan, H., Wu, F., Wen, H., Guo, S., Wu, L., Hu, H., Lin, Y., 2023 · 2023
Later among the works it cites.
Tempo: Prompt-based generative pre-trained transformer for time series forecasting
Cao, D., Jia, F., Arik, S.O., Pfister, T., Zheng, Y., Ye, W., Liu, Y., 2023 · 2023
Later among the works it cites.
Dirty density: Air quality and the density of american cities
Carozzi, F., Roth, S., 2023 · 2023
Later among the works it cites.
Llm4ts: Two-stage fine-tuning for time-series forecasting with pre-trained llms
Chang, C., Peng, W.C., Chen, T.F., 2023 · 2023
Later among the works it cites.
Impact of urbanization on ecosystem health in chinese urban agglomerations
Chen, W., Wang, G., Zeng, J., 2023 · 2023
Later among the works it cites.
Prior water availability modifies the effect of heavy rainfall on dengue transmission: a time series analysis of passive surveillance data from southern china
Cheng, Q., Jing, Q., Collender, P.A., Head, J.R., Li, Q., Yu, H., Li, Z., Ju, Y., Chen, T., Wang, P., Cleary, E., Lai, S., 2023 · 2023
Later among the works it cites.
Explore solo travel trends & stats by demographics, destination, industry & why solo travel continues to rise!
CondorFerries, 2023 · 2023
Later among the works it cites.
So what do we call twitter now anyway?
Conger, K., 2023 · 2023
Later among the works it cites.
Chatlaw: Open-source legal large language model with integrated external knowledge bases
Cui, J., Li, Z., Yan, Y., Chen, B., Yuan, L., 2023 · 2023
Later among the works it cites.
Instructblip: Towards general-purpose vision-language models with instruction tuning. arxiv 2023
Dai, W., Li, J., Li, D., Tiong, A., Zhao, J., Wang, W., Li, B., Fung, P., Hoi, S., · 2023
Later among the works it cites.
Flashattention-2: Faster attention with better parallelism and work partitioning
Dao, T., 2023 · 2023
Later among the works it cites.
Qlora: Efficient finetuning of quantized llms
Dettmers, T., Pagnoni, A., Holtzman, A., Zettlemoyer, L., 2023 · 2023
Later among the works it cites.
Mgeo: Multi-modal geographic language model pre-training, in: Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 185–194
Ding, R., Chen, B., Xie, P., Huang, F., Li, X., Zhang, Q., Xu, Y., 2023 · 2023
Later among the works it cites.
Urban visual intelligence: Uncovering hidden city profiles with street view images
Fan, Z., Zhang, F., Loo, B.P.Y., Ratti, C., 2023 · 2023
Later among the works it cites.
Enhancing pipeline-based conversational agents with large language models
Foosherian, M., Purwins, H., Rathnayake, P., Alam, T., Teimao, R., Thoben, K.D., 2023 · 2023
Later among the works it cites.
Predicting human-wildlife interaction in urban environments through agent-based models
González-Crespo, C., Martínez-López, B., Conejero, C., Castillo-Contreras, R., Serrano, E., López-Martín, J.M., Lavín, S., López-Olvera, J.R., 2023 · 2023
Later among the works it cites.
Urban computing for sustainable smart cities: Recent advances, taxonomy, and open research challenges
Hashem, I.A.T., Usmani, R.S.A., Almutairi, M.S., Ibrahim, A.O., Zakari, A., Alotaibi, F., Alhashmi, S.M., Chiroma, H., 2023 · 2023
Later among the works it cites.
Comprehensive urban space representation with varying numbers of street-level images
Huang, Y., Zhang, F., Gao, Y., Tu, W., Duarte, F., Ratti, C., Guo, D., Liu, Y., 2023a · 2023
Later among the works it cites.
Comprehensive urban space representation with varying numbers of street-level images
Huang, Y., Zhang, F., Gao, Y., Tu, W., Duarte, F., Ratti, C., Guo, D., Liu, Y., 2023b · 2023
Later among the works it cites.
Spatio-temporal graph neural networks for predictive learning in urban computing: A survey
Jin, G., Liang, Y., Fang, Y., Shao, Z., Huang, J., Zhang, J., Zheng, Y., 2023a · 2023
Later among the works it cites.
Spatio-temporal contrastive self-supervised learning for poi-level crowd flow inference
Ke, S., Li, T., Song, L., Sun, Y., Sun, Q., Zhang, J., Zheng, Y., 2023 · 2023
Later among the works it cites.
Diffusionsat: A generative foundation model for satellite imagery
Khanna, S., Liu, P., Zhou, L., Meng, C., Rombach, R., Burke, M., Lobell, D., Ermon, S., 2023 · 2023
Later among the works it cites.
Geochat: Grounded large vision-language model for remote sensing
Kuckreja, K., Danish, M.S., Naseer, M., Das, A., Khan, S., Khan, F.S., 2023 · 2023
Later among the works it cites.
Spatio-temporal graph mixformer for traffic forecasting
Lablack, M., Shen, Y., 2023 · 2023
Later among the works it cites.
Climabench: A benchmark dataset for climate change text understanding in english
Laud, T., Spokoyny, D., Corringham, T., Berg-Kirkpatrick, T., 2023 · 2023
Later among the works it cites.
Airformer: Predicting nationwide air quality in china with transformers, in: Proceedings of the AAAI Conference on Artificial Intelligence, pp. 14329–14337
Liang, Y., Xia, Y., Ke, S., Wang, Y., Wen, Q., Zhang, J., Zheng, Y., Zimmermann, R., 2023 · 2023
Later among the works it cites.
Lin, Y.T., Chen, Y.N., 2023 · 2023
Later among the works it cites.
A review on remote sensing data fusion with generative adversarial networks (gan)
Liu, P., 2023 · 2023
Later among the works it cites.
Knowledge-infused contrastive learning for urban imagery-based socioeconomic prediction, in: Proceedings of the ACM Web Conference 2023, pp. 4150–4160
Liu, Y., Zhang, X., Ding, J., Xi, Y., Li, Y., 2023g · 2023
Later among the works it cites.
Spatiotemporal variations of “triple-demic” outbreaks of respiratory infections in the united states in the post-covid-19 era
Luo, W., Liu, Q., Zhou, Y., Ran, Y., Liu, Z., Hou, W., Pei, S., Lai, S., 2023 · 2023
Later among the works it cites.
Geollm: Extracting geospatial knowledge from large language models
Manvi, R., Khanna, S., Mai, G., Burke, M., Lobell, D., Ermon, S., 2023 · 2023
Later among the works it cites.
Understanding multimodal contrastive learning and incorporating unpaired data, in: International Conference on Artificial Intelligence and Statistics, PMLR. pp. 4348–4380
Nakada, R., Gulluk, H.I., Deng, Z., Ji, W., Zou, J., Zhang, L., 2023 · 2023
Later among the works it cites.
Driver behavior modeling towards autonomous vehicles: Comprehensive review
Negash, N.M., Yang, J., 2023 · 2023
Later among the works it cites.
OpenAI, 2023 · 2023
Later among the works it cites.
Spatial-temporal graph contrastive learning for urban traffic flow forecasting
Pan, L., Ren, Q., Li, J., 2023 · 2023
Later among the works it cites.
Generating efficient training data via llm-based attribute manipulation
Peng, L., Zhang, Y., Shang, J., 2023 · 2023
Later among the works it cites.
Modeling intra-and inter-community information for route and time prediction in last-mile delivery, in: 2023 IEEE 39th International Conference on Data Engineering (ICDE), IEEE. pp. 3106–3112
Qiang, Y., Wen, H., Wu, L., Mao, X., Wu, F., Wan, H., Hu, H., 2023 · 2023
Later among the works it cites.
Scale-mae: A scale-aware masked autoencoder for multiscale geospatial representation learning, in: Proceedings of the IEEE/CVF International Conference on Computer Vision, pp. 4088–4099
Reed, C.J., Gupta, R., Li, S., Brockman, S., Funk, C., Clipp, B., Keutzer, K., Candido, S., Uyttendaele, M., Darrell, T., 2023 · 2023
Later among the works it cites.
Gpt4geo: How a language model sees the world’s geography
Roberts, J., Lüddecke, T., Das, S., Han, K., Albanie, S., 2023 · 2023
Later among the works it cites.
Exploring the relationship between temporal fluctuations in satellite nightlight imagery and human mobility across africa
Rogers, G., Koper, P., Ruktanonchai, C., , Ruktanonchai, N., Utazi, E., Woods, D., Cunningham, A., Tatem, A.J., Steele, J., Lai, S., Sorichetta, A., 2023 · 2023
Later among the works it cites.
Climatebert-netzero: Detecting and assessing net zero and reduction targets
Schimanski, T., Bingler, J., Hyslop, C., Kraus, M., Leippold, M., 2023 · 2023
Later among the works it cites.
Allspark: a multimodal spatiotemporal general model
Shao, R., Yang, C., Li, Q., Zhu, Q., Zhang, Y., Li, Y., Liu, Y., Tang, Y., Liu, D., Yang, S., et al., 2023 · 2023
Later among the works it cites.
Large language models encode clinical knowledge
Singhal, K., Azizi, S., Tu, T., Mahdavi, S.S., Wei, J., Chung, H.W., Scales, N., Tanwani, A., Cole-Lewis, H., Pfohl, S., et al., 2023 · 2023
Later among the works it cites.
Battery swapping dispatch for self-sustained highway energy system based on spatiotemporal deep-learning traffic flow prediction
Sun, Y., Li, Y., Borozan, S., Wang, G., Qiu, J., Strbac, G., 2023 · 2023
Later among the works it cites.
Approximating online human evaluation of social chatbots with prompting, in: Proceedings of the 24th Meeting of the Special Interest Group on Discourse and Dialogue, pp. 268–281
Svikhnushina, E., Pu, P., 2023 · 2023
Later among the works it cites.
The rise and potential of large language model based agents: A survey
Xi, Z., Chen, W., Guo, X., He, W., Ding, Y., Hong, B., Zhang, M., Wang, J., Jin, S., Zhou, E., et al., 2023 · 2023
Later among the works it cites.
A contextual master-slave framework on urban region graph for urban village detection, in: 2023 IEEE 39th International Conference on Data Engineering (ICDE), IEEE Computer Society. pp. 736–748
Xiao, C., Zhou, J., Huang, J., Zhu, H., Xu, T., Dou, D., Xiong, H., 2023 · 2023
Later among the works it cites.
Quert: Continual pre-training of language model for query understanding in travel domain search
Xie, J., Liang, Y., Liu, J., Xiao, Y., Wu, B., Ni, S., 2023 · 2023
Later among the works it cites.
Diffusion probabilistic modeling for fine-grained urban traffic flow inference with relaxed structural constraint, in: ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), IEEE. pp. 1–5
Xu, X., Wei, Y., Wang, P., Luo, X., Zhou, F., Trajcevski, G., 2023e · 2023
Later among the works it cites.
When urban region profiling meets large language models
Yan, Y., Wen, H., Zhong, S., Chen, W., Chen, H., Wen, Q., Zimmermann, R., Liang, Y., 2023 · 2023
Later among the works it cites.
Yao, Z., Wu, X., Li, C., Youn, S., He, Y., 2023 · 2023
Later among the works it cites.
mplug-owl: Modularization empowers large language models with multimodality
Ye, Q., Xu, H., Xu, G., Ye, J., Yan, M., Zhou, Y., Wang, J., Hu, A., Shi, P., Shi, Y., et al., 2023 · 2023
Later among the works it cites.
Temporal data meets llm–explainable financial time series forecasting
Yu, X., Chen, Z., Ling, Y., Dong, S., Liu, Z., Lu, Y., 2023 · 2023
Later among the works it cites.
Learning to simulate daily activities via modeling dynamic human needs, in: Proceedings of the ACM Web Conference 2023, pp. 906–916
Yuan, Y., Wang, H., Ding, J., Jin, D., Li, Y., 2023 · 2023
Later among the works it cites.
Difftraj: Generating gps trajectory with diffusion probabilistic model, in: Proceedings of the 37th Annual Conference on Neural Information Processing Systems
Yuanshao, Z., Ye, Y., Zhang, S., Zhao, X., James, J.Y., 2023 · 2023
Later among the works it cites.
Causal matching with text embeddings: A case study in estimating the causal effects of peer review policies, in: Findings of the Association for Computational Linguistics: ACL 2023, pp. 1284–1297
Zhang, R., Kennard, N.N., Smith, D., McFarland, D., McCallum, A., Keith, K., 2023f · 2023
Later among the works it cites.
A survey of large language models
Zhao, W.X., Zhou, K., Li, J., Tang, T., Wang, X., Hou, Y., Min, Y., Zhang, B., Zhang, J., Dong, Z., et al., 2023 · 2023
Later among the works it cites.
Video generation models as world simulators URL: https://openai.com/research/video-generation-models-as-world-simulators
Brooks, T., Peebles, B., Homes, C., DePue, W., Guo, Y., Jing, L., Schnurr, D., Taylor, J., Luhman, T., Luhman, E., Ng, C., Wang, R., Ramesh, A., 2024 · 2024
Closest in time.
Comprehensive systematic review of information fusion methods in smart cities and urban environments
Fadhel, M.A., Duhaim, A.M., Saihood, A., Sewify, A., Al-Hamadani, M.N., Albahri, A., Alzubaidi, L., Gupta, A., Mirjalili, S., Gu, Y., 2024 · 2024
Closest in time.
Hao, X., Chen, W., Yan, Y., Zhong, S., Wang, K., Wen, Q., Liang, Y., 2024 · 2024
Closest in time.
Position paper: What can large language models tell us about time series analysis, in: International Conference on Machine Learning (ICML 2024)
Jin, M., Zhang, Y., Chen, W., Zhang, K., Liang, Y., Yang, B., Wang, J., Pan, S., Wen, Q., 2024 · 2024
Closest in time.
Urbangpt: Spatio-temporal large language models
Li, Z., Xia, L., Tang, J., Xu, Y., Shi, L., Xia, L., Yin, D., Huang, C., 2024 · 2024
Closest in time.
Graphite—generative reasoning and analysis for predictive handling in traffic efficiency
Piccialli, F., Canzaniello, M., Chiaro, D., Izzo, S., Qi, P., 2024 · 2024
Closest in time.
A hypergraph-based hybrid graph convolutional network for intracity human activity intensity prediction and geographic relationship interpretation
Wang, Y., Zhu, D., 2024 · 2024
Closest in time.
Deciphering spatio-temporal graph forecasting: A causal lens and treatment
Xia, Y., Liang, Y., Wen, H., Liu, X., Wang, K., Zhou, Z., Zimmermann, R., 2024 · 2024
Closest in time.
Large language model for participatory urban planning
Zhou, Z., Lin, Y., Jin, D., Li, Y., 2024 · 2024
Closest in time.
Learning geospatial region embedding with heterogeneous graph
Zou, X., Huang, J., Hao, X., Yang, Y., Wen, H., Yan, Y., Huang, C., Liang, Y., 2024 · 2024
Closest in time.
Air quality and health co-benefits of china’s carbon dioxide emissions peaking before 2030
Tang, R., Zhao, J., Liu, Y., Huang, X., Zhang, Y., Zhou, D., Ding, A., Nielsen, C.P., Wang, H., 2022 · 2030
Closest in time.