Demand-driven timetable design for metro services L Sun, JG Jin, DH Lee, KW Axhausen, A Erath Transportation Research Part C: Emerging Technologies 46, 284-299, 2014 | 291 | 2014 |
Discovering themes and trends in transportation research using topic modeling L Sun, Y Yin Transportation Research Part C: Emerging Technologies 77, 49-66, 2017 | 287 | 2017 |
Understanding metropolitan patterns of daily encounters L Sun, KW Axhausen, DH Lee, X Huang Proceedings of the National Academy of Sciences 110 (34), 13774-13779, 2013 | 284 | 2013 |
A Bayesian tensor decomposition approach for spatiotemporal traffic data imputation X Chen, Z He, L Sun Transportation Research Part C: Emerging Technologies 98, 73-84, 2019 | 283 | 2019 |
Enhancing metro network resilience via localized integration with bus services JG Jin, LC Tang, L Sun, DH Lee Transportation Research Part E: Logistics and Transportation Review 63, 17-30, 2014 | 270 | 2014 |
Unpacking the polarization of workplace skills A Alabdulkareem, MR Frank, L Sun, B AlShebli, C Hidalgo, I Rahwan Science Advances 4 (7), eaao6030, 2018 | 212 | 2018 |
Bayesian temporal factorization for multidimensional time series prediction X Chen, L Sun IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (9), 4659-4673, 2021 | 202 | 2021 |
Understanding urban mobility patterns with a probabilistic tensor factorization framework L Sun, KW Axhausen Transportation Research Part B: Methodological 91, 511-524, 2016 | 185 | 2016 |
A Bayesian network approach for population synthesis L Sun, A Erath Transportation Research Part C: Emerging Technologies 61, 49-62, 2015 | 184 | 2015 |
Using smart card data to extract passenger's spatio-temporal density and train's trajectory of MRT system L Sun, DH Lee, A Erath, X Huang Proceedings of the ACM SIGKDD international workshop on urban computing, 142-148, 2012 | 171 | 2012 |
An integrated Bayesian approach for passenger flow assignment in metro networks L Sun, Y Lu, JG Jin, DH Lee, KW Axhausen Transportation Research Part C: Emerging Technologies 52, 116-131, 2015 | 157 | 2015 |
Models of bus boarding and alighting dynamics L Sun, A Tirachini, KW Axhausen, A Erath, DH Lee Transportation Research Part A: Policy and Practice 69, 447-460, 2014 | 138 | 2014 |
A nonconvex low-rank tensor completion model for spatiotemporal traffic data imputation X Chen, J Yang, L Sun Transportation Research Part C: Emerging Technologies 117, 102673, 2020 | 123 | 2020 |
Inductive Graph Neural Networks for Spatiotemporal Kriging Y Wu, D Zhuang, A Labbe, L Sun Proceedings of the AAAI Conference on Artificial Intelligence 35 (5), 4478-4485, 2021 | 118 | 2021 |
Valuation of sitting and standing in metro trains using revealed preferences A Tirachini, L Sun, A Erath, A Chakirov Transport Policy 47, 94-104, 2016 | 116 | 2016 |
Small cities face greater impact from automation MR Frank, L Sun, M Cebrian, H Youn, I Rahwan Journal of The Royal Society Interface 15 (139), 20170946, 2018 | 106 | 2018 |
Social interactions for autonomous driving: A review and perspectives W Wang, L Wang, C Zhang, C Liu, L Sun Foundations and Trends® in Robotics 10 (3-4), 198-376, 2022 | 97 | 2022 |
Dynamic holding control to avoid bus bunching: A multi-agent deep reinforcement learning framework J Wang, L Sun Transportation Research Part C: Emerging Technologies 116, 102661, 2020 | 95 | 2020 |
Urban Human Mobility: Data-Driven Modeling and Prediction J Wang, X Kong, F Xia, L Sun ACM SIGKDD Explorations Newsletter 21 (1), 1-19, 2019 | 85 | 2019 |
Low-rank autoregressive tensor completion for spatiotemporal traffic data imputation X Chen, M Lei, N Saunier, L Sun IEEE Transactions on Intelligent Transportation Systems 23 (8), 12301-12310, 2021 | 84 | 2021 |