| DeepMove: predicting human mobility with attentional recurrent networks J Feng, Y Li, C Zhang, F Sun, F Meng, A Guo, D Jin Proceedings of the 2018 World Wide Web Conference on World Wide Web, 1459-1468, 2018 | 611 | 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 ACM Transactions on Knowledge Discovery from Data 17 (1), 1-21, 2023 | 241 | 2023 |
| DeepSTN+: Context-aware Spatial-Temporal Neural Network for Crowd Flow Prediction in Metropolis Z Lin*, J Feng*, Z Lu, Y Li, D Jin The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19), 2019 | 241 | 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 Proceedings of the 28th ACM international conference on information and …, 2019 | 202 | 2019 |
| PMF: A privacy-preserving human mobility prediction framework via federated learning J Feng, C Rong, F Sun, D Guo, Y Li Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2020 | 144 | 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 | 130 | 2018 |
| 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 The World Wide Web Conference, 459-469, 2019 | 111* | 2019 |
| Learning to simulate human mobility J Feng, Z Yang, F Xu, H Yu, M Wang, Y Li Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020 | 99 | 2020 |
| Context-aware real-time population estimation for metropolis F Xu, J Feng, P Zhang, Y Li Proceedings of the 2016 ACM International Joint Conference on Pervasive and …, 2016 | 68 | 2016 |
| DeepMM: Deep Learning Based Map Matching with Data Augmentation J Feng, Y Li, K Zhao, Z Xu, T Xia, J Zhang, D Jin IEEE Transactions on Mobile Computing, 1-1, 2020 | 51* | 2020 |
| Attnmove: History enhanced trajectory recovery via attentional network T Xia, Y Qi, J Feng, F Xu, F Sun, D Guo, Y Li Proceedings of the AAAI conference on artificial intelligence 35 (5), 4494-4502, 2021 | 38 | 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 ACM Transactions on Knowledge Discovery from Data (TKDD) 15 (6), 1-21, 2021 | 30 | 2021 |
| Semantic-aware spatio-temporal app usage representation via graph convolutional network Y Yu, T Xia, H Wang, J Feng, Y Li Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2020 | 24 | 2020 |
| Uniqueness in the city: Urban morphology and location privacy H Cao, J Feng, Y Li, V Kostakos Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2018 | 23 | 2018 |
| A Sequential Convolution Network for Population Flow Prediction with Explicitly Correlation Modelling J Feng, Z Lin, T Xia, F Sun, D Guo, Y Li Proceedings of the Twenty-Ninth International Joint Conference on Artificial …, 2020 | 22 | 2020 |
| DeepDPM: Dynamic Population Mapping via Deep Neural Network Z Zong*, J Feng*, K Liu, H Shi, Y Li The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19), 2018 | 22 | 2018 |
| 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 ACM Transactions on Intelligent Systems and Technology (TIST) 11 (6), 1-12, 2020 | 21 | 2020 |
| Understanding metropolitan crowd mobility via mobile cellular accessing data H Cao, J Sankaranarayanan, J Feng, Y Li, H Samet ACM Transactions on Spatial Algorithms and Systems (TSAS) 5 (2), 1-18, 2019 | 18 | 2019 |
| Crowd flow prediction for irregular regions with semantic graph attention network F Li, J Feng, H Yan, D Jin, Y Li ACM Transactions on Intelligent Systems and Technology (TIST) 13 (5), 1-14, 2022 | 15 | 2022 |
| Deep learning models for population flow generation from aggregated mobility data C Rong, J Feng, Y Li Adjunct Proceedings of the 2019 ACM International Joint Conference on …, 2019 | 14 | 2019 |
Yong LiAssociate Professor, Electronic Engineering, Tsinghua UniversityVerified email at tsinghua.edu.cn
