| Outlier Detection for Time Series with Recurrent Autoencoder Ensembles. T Kieu, B Yang, C Guo, CS Jensen IJCAI, 2725-2732, 2019 | 407 | 2019 |
| Pathformer: Multi-scale transformers with adaptive pathways for time series forecasting P Chen, Y Zhang, Y Cheng, Y Shu, Y Wang, Q Wen, B Yang, C Guo arXiv preprint arXiv:2402.05956, 2024 | 329* | 2024 |
| Outlier Detection for Multidimensional Time Series Using Deep Neural Networks T Kieu, B Yang, CS Jensen 2018 19th IEEE International Conference on Mobile Data Management (MDM), 125-134, 2018 | 285 | 2018 |
| Personalized route recommendation using big trajectory data J Dai, B Yang, C Guo, Z Ding 2015 IEEE 31st International Conference on Data Engineering, 543-554, 2015 | 273 | 2015 |
| Graph model based indoor tracking CS Jensen, H Lu, B Yang 2009 Tenth International Conference on Mobile Data Management: Systems …, 2009 | 242 | 2009 |
| Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs M Jin, Y Zheng, YF Li, S Chen, B Yang, S Pan arXiv preprint arXiv:2202.08408, 2022 | 222 | 2022 |
| Triformer: Triangular, variable-specific attentions for long sequence multivariate time series forecasting RG Cirstea, C Guo, B Yang, T Kieu, X Dong, S Pan Proceedings of the Thirty-First International Joint Conference on Artificial …, 2022 | 222* | 2022 |
| TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods X Qiu, J Hu, L Zhou, X Wu, J Du, B Zhang, C Guo, A Zhou, CS Jensen, ... arXiv preprint arXiv:2403.20150, 2024 | 221* | 2024 |
| Towards spatio-temporal aware traffic time series forecasting RG Cirstea, B Yang, C Guo, T Kieu, S Pan 2022 IEEE 38th International Conference on Data Engineering (ICDE), 2900-2913, 2022 | 207 | 2022 |
| Finding top-k shortest paths with diversity H Liu, C Jin, B Yang, A Zhou IEEE Transactions on Knowledge and Data Engineering 30 (3), 488-502, 2018 | 188 | 2018 |
| Travel cost inference from sparse, spatio temporally correlated time series using markov models B Yang, C Guo, CS Jensen Proceedings of the VLDB Endowment 6 (9), 769-780, 2013 | 175 | 2013 |
| Position: What can large language models tell us about time series analysis M Jin, Y Zhang, W Chen, K Zhang, Y Liang, B Yang, J Wang, S Pan, ... Forty-first International Conference on Machine Learning, 2024 | 169* | 2024 |
| Stochastic skyline route planning under time-varying uncertainty B Yang, C Guo, CS Jensen, M Kaul, S Shang 2014 IEEE 30th International Conference on Data Engineering, 136-147, 2014 | 149 | 2014 |
| Correlated Time Series Forecasting using Multi-Task Deep Neural Networks RG Cirstea, DV Micu, GM Muresan, C Guo, B Yang Proceedings of the 27th ACM International Conference on Information and …, 2018 | 130* | 2018 |
| Query processing of massive trajectory data based on mapreduce Q Ma, B Yang, W Qian, A Zhou Proceeding of the first international workshop on Cloud data management, 9-16, 2009 | 129 | 2009 |
| A survey on diffusion models for time series and spatio-temporal data Y Yang, M Jin, H Wen, C Zhang, Y Liang, L Ma, Y Wang, C Liu, B Yang, ... ACM Computing Surveys, 2024 | 127 | 2024 |
| Stochastic Weight Completion for Road Networks using Graph Convolutional Networks J Hu, C Guo, B Yang, CS Jensen 2019 IEEE 35th International Conference on Data Engineering (ICDE), 1274-1285, 2019 | 126 | 2019 |
| Probabilistic threshold k nearest neighbor queries over moving objects in symbolic indoor space B Yang, H Lu, CS Jensen Proceedings of the 13th International Conference on Extending Database …, 2010 | 126 | 2010 |
| Building Accurate 3D Spatial Networks to Enable Next Generation Intelligent Transportation Systems M Kaul, B Yang, CS Jensen International Conference on Mobile Data Management, 2013 | 122 | 2013 |
| 基于位置的服务: 架构与进展 周傲英， 杨彬， 金澈清， 马强 计算机学报 34 (7), 1155-1171, 2011 | 122 | 2011 |
Chenjuan GuoProfessor, East China Normal UniversityVerified email at dase.ecnu.edu.cn
