| Serm: A recurrent model for next location prediction in semantic trajectories D Yao, C Zhang, J Huang, J Bi Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017 | 231 | 2017 |
| Trajectory clustering via deep representation learning D Yao, C Zhang, Z Zhu, J Huang, J Bi 2017 international joint conference on neural networks (IJCNN), 3880-3887, 2017 | 224 | 2017 |
| Cross-network embedding for multi-network alignment X Chu, X Fan, D Yao, Z Zhu, J Huang, J Bi The world wide web conference, 273-284, 2019 | 142 | 2019 |
| Computing trajectory similarity in linear time: A generic seed-guided neural metric learning approach D Yao, G Cong, C Zhang, J Bi 2019 IEEE 35th international conference on data engineering (ICDE), 1358-1369, 2019 | 139 | 2019 |
| A graph-based approach for trajectory similarity computation in spatial networks P Han, J Wang, D Yao, S Shang, X Zhang Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 106 | 2021 |
| Learning deep representation for trajectory clustering D Yao, C Zhang, Z Zhu, Q Hu, Z Wang, J Huang, J Bi Expert Systems 35 (2), e12252, 2018 | 81 | 2018 |
| TrajGAT: A graph-based long-term dependency modeling approach for trajectory similarity computation D Yao, H Hu, L Du, G Cong, S Han, J Bi Proceedings of the 28th ACM SIGKDD conference on knowledge discovery and …, 2022 | 63 | 2022 |
| Exploring progress in multivariate time series forecasting: Comprehensive benchmarking and heterogeneity analysis Z Shao, F Wang, Y Xu, W Wei, C Yu, Z Zhang, D Yao, T Sun, G Jin, X Cao, ... IEEE Transactions on Knowledge and Data Engineering, 2024 | 51 | 2024 |
| Causal discovery from temporal data: An overview and new perspectives C Gong, C Zhang, D Yao, J Bi, W Li, YJ Xu ACM Computing Surveys 57 (4), 1-38, 2024 | 40* | 2024 |
| Semi-supervised anomaly detection in dynamic communication networks X Meng, S Wang, Z Liang, D Yao, J Zhou, Y Zhang Information Sciences 571, 527-542, 2021 | 34 | 2021 |
| TRANSFAKE: multi-task transformer for multimodal enhanced fake news detection Q Jing, D Yao, X Fan, B Wang, H Tan, X Bu, J Bi 2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021 | 29 | 2021 |
| A linear time approach to computing time series similarity based on deep metric learning D Yao, G Cong, C Zhang, X Meng, R Duan, J Bi IEEE Transactions on Knowledge and Data Engineering 34 (10), 4554-4571, 2020 | 29 | 2020 |
| A word distributed representation based framework for large-scale short text classification D Yao, J Bi, J Huang, J Zhu 2015 international joint conference on neural networks (IJCNN), 1-7, 2015 | 22 | 2015 |
| Sub-trajectory-and trajectory-neighbor-based outlier detection over trajectory streams Z Zhu, D Yao, J Huang, H Li, J Bi Pacific-Asia Conference on Knowledge Discovery and Data Mining, 551-563, 2018 | 19 | 2018 |
| AI-enhanced spatial-temporal data-mining technology: New chance for next-generation urban computing F Wang, D Yao, Y Li, T Sun, Z Zhang The Innovation 4 (2), 2023 | 16 | 2023 |
| Meta-learning enhanced neural ODE for citywide next POI recommendation H Tan, D Yao, T Huang, B Wang, Q Jing, J Bi 2021 22nd IEEE International Conference on Mobile Data Management (MDM), 89-98, 2021 | 14 | 2021 |
| CausalMTA: Eliminating the User Confounding Bias for Causal Multi-touch Attribution D Yao, C Gong, L Zhang, S Chen, J Bi Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 12 | 2022 |
| 时空数据语义理解: 技术与应用 姚迪， 张超， 黄建辉， 陈越新， 毕经平 软件学报 29 (7), 2018 | 12 | 2018 |
| Spatial-temporal fusion graph framework for trajectory similarity computation S Zhou, P Han, D Yao, L Chen, X Zhang World Wide Web 26 (4), 1501-1523, 2023 | 11 | 2023 |
| Interactive anomaly detection in dynamic communication networks X Meng, Y Wang, S Wang, D Yao, Y Zhang IEEE/ACM Transactions on Networking 29 (6), 2602-2615, 2021 | 8 | 2021 |
Chao ZhangAssistant Professor at College of Computing, Georgia Tech確認したメール アドレス: gatech.edu