| DeepMove: predicting human mobility with attentional recurrent networks J Feng, Y Li, C Zhang, F Sun, F Meng, A Guo, D Jin (WWW'18) Proceedings of the 2018 World Wide Web Conference on World Wide Web …, 2018 | 765 | 2018 |
| Dynamic graph convolutional recurrent network for traffic prediction: benchmark and solution F Li, J Feng, H Yan, G Jin, F Yang, F Sun, D Jin, Y Li (TKDD) ACM Transactions on Knowledge Discovery from Data 17 (1), 1-21, 2023 | 429 | 2023 |
| DeepSTN+: Context-aware Spatial-Temporal Neural Network for Crowd Flow Prediction in Metropolis Z Lin*, J Feng*, Z Lu, Y Li, D Jin (AAAI'19) The Thirty-Third AAAI Conference on Artificial Intelligence, 2019 | 319 | 2019 |
| Learning phase competition for traffic signal control G Zheng, Y Xiong, X Zang, J Feng, H Wei, H Zhang, Y Li, K Xu, Z Li (CIKM'19) Proceedings of the 28th ACM international conference on …, 2019 | 255 | 2019 |
| PMF: A privacy-preserving human mobility prediction framework via federated learning J Feng, C Rong, F Sun, D Guo, Y Li (IMWUT/UbiComp'20) Proceedings of the ACM on Interactive, Mobile, Wearable …, 2020 | 190 | 2020 |
| DeepTP: An end-to-end neural network for mobile cellular traffic prediction J Feng, X Chen, R Gao, M Zeng, Y Li IEEE Network 32 (6), 108-115, 2018 | 153 | 2018 |
| Learning to simulate human mobility J Feng, Z Yang, F Xu, H Yu, M Wang, Y Li (KDD'20) Proceedings of the 26th ACM SIGKDD international conference on …, 2020 | 136 | 2020 |
| DPLink: User identity linkage via deep neural network from heterogeneous mobility data J Feng, M Zhang, H Wang, Z Yang, C Zhang, Y Li, D Jin (WWW'19) The World Wide Web Conference, 459-469, 2019 | 129* | 2019 |
| DeepMM: Deep Learning Based Map Matching with Data Augmentation J Feng, Y Li, K Zhao, Z Xu, T Xia, J Zhang, D Jin (TMC) IEEE Transactions on Mobile Computing, 1-1, 2020 | 80* | 2020 |
| Context-aware real-time population estimation for metropolis F Xu, J Feng, P Zhang, Y Li (UbiComp'16) Proceedings of the 2016 ACM International Joint Conference on …, 2016 | 72 | 2016 |
| AttnMove: History enhanced trajectory recovery via attentional network T Xia, Y Qi, J Feng, F Xu, F Sun, D Guo, Y Li (AAAI'21) Proceedings of the AAAI Conference on Artificial Intelligence …, 2021 | 64 | 2021 |
| 3DGCN: 3-dimensional dynamic graph convolutional network for citywide crowd flow prediction T Xia, J Lin, Y Li, J Feng, P Hui, F Sun, D Guo, D Jin (TKDD) ACM Transactions on Knowledge Discovery from Data 15 (6), 1-21, 2021 | 48 | 2021 |
| UniST: a prompt-empowered universal model for urban spatio-temporal prediction Y Yuan, J Ding, J Feng, D Jin, Y Li (KDD'24) Proceedings of the 30th ACM SIGKDD Conference on Knowledge …, 2024 | 36 | 2024 |
| Semantic-aware spatio-temporal app usage representation via graph convolutional network Y Yu, T Xia, H Wang, J Feng, Y Li (IMWUT/UbiComp'20) Proceedings of the ACM on Interactive, Mobile, Wearable …, 2020 | 35 | 2020 |
| Urban Generative Intelligence (UGI): A foundational platform for agents in embodied city environment F Xu, J Zhang, C Gao, J Feng, Y Li arXiv preprint arXiv:2312.11813, 2023 | 30 | 2023 |
| DeepApp: Predicting personalized smartphone app usage via context-aware multi-task learning T Xia, Y Li, J Feng, D Jin, Q Zhang, H Luo, Q Liao (TIST) ACM Transactions on Intelligent Systems and Technology 11 (6), 1-12, 2020 | 29 | 2020 |
| DeepDPM: Dynamic Population Mapping via Deep Neural Network Z Zong*, J Feng*, K Liu, H Shi, Y Li (AAAI'19) The Thirty-Third AAAI Conference on Artificial Intelligence, 2019 | 26 | 2019 |
| A Sequential Convolution Network for Population Flow Prediction with Explicitly Correlation Modelling J Feng, Z Lin, T Xia, F Sun, D Guo, Y Li (IJCAI'20) Proceedings of the Twenty-Ninth International Joint Conference on …, 2020 | 25 | 2020 |
| Uniqueness in the city: Urban morphology and location privacy H Cao, J Feng, Y Li, V Kostakos (IMWUT/UbiComp'18) Proceedings of the ACM on Interactive, Mobile, Wearable …, 2018 | 23 | 2018 |
| Crowd flow prediction for irregular regions with semantic graph attention network F Li, J Feng, H Yan, D Jin, Y Li (TIST) ACM Transactions on Intelligent Systems and Technology 13 (5), 1-14, 2022 | 22 | 2022 |
Yong LiProfessor, Electronic Engineering, Tsinghua UniversityEmail verificata su tsinghua.edu.cn