| When spatio-temporal meet wavelets: Disentangled traffic forecasting via efficient spectral graph attention networks Y Fang, Y Qin, H Luo, F Zhao, B Xu, L Zeng, C Wang 2023 IEEE 39th international conference on data engineering (ICDE), 517-529, 2023 | 60 | 2023 |
| Combining residual and LSTM recurrent networks for transportation mode detection using multimodal sensors integrated in smartphones C Wang, H Luo, F Zhao, Y Qin IEEE Transactions on Intelligent Transportation Systems 22 (9), 5473-5485, 2020 | 52 | 2020 |
| Toward transportation mode recognition using deep convolutional and long short-term memory recurrent neural networks Y Qin, H Luo, F Zhao, C Wang, J Wang, Y Zhang IEEE Access 7, 142353-142367, 2019 | 49 | 2019 |
| Learning all dynamics: Traffic forecasting via locality-aware spatio-temporal joint transformer Y Fang, F Zhao, Y Qin, H Luo, C Wang IEEE Transactions on Intelligent Transportation Systems 23 (12), 23433-23446, 2022 | 42 | 2022 |
| Spatio-temporal hierarchical MLP network for traffic forecasting Y Qin, H Luo, F Zhao, Y Fang, X Tao, C Wang Information Sciences 632 (1), 543-554,, 2023 | 37 | 2023 |
| Next point-of-interest recommendation with auto-correlation enhanced multi-modal transformer network Y Qin, Y Fang, H Luo, F Zhao, C Wang Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022 | 26 | 2022 |
| An abnormal driving behavior recognition algorithm based on the temporal convolutional network and soft thresholding Y Zhao, H Jia, H Luo, F Zhao, Y Qin, Y Wang International Journal of Intelligent Systems 37 (9), 6244-6261, 2022 | 25 | 2022 |
| Fine-grained trajectory-based travel time estimation for multi-city scenarios based on deep meta-learning C Wang, F Zhao, H Zhang, H Luo, Y Qin, Y Fang IEEE Transactions on Intelligent Transportation Systems 23 (9), 15716-15728, 2022 | 24 | 2022 |
| STWave: A Multi-Scale Efficient Spectral Graph Attention Network With Long-Term Trends for Disentangled Traffic Flow Forecasting Y Fang, Y Qin, H Luo, F Zhao, K Zheng IEEE Transactions on Knowledge and Data Engineering 36 (6), 2671-2685, 2023 | 23 | 2023 |
| Detecting transportation modes with low-power-consumption sensors using recurrent neural network H Wang, H Luo, F Zhao, Y Qin, Z Zhao, Y Chen 2018 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced …, 2018 | 20 | 2018 |
| A traffic pattern detection algorithm based on multimodal sensing Y Qin, H Luo, F Zhao, Z Zhao, M Jiang International Journal of Distributed Sensor Networks 14 (10), 1550147718807832, 2018 | 17 | 2018 |
| A multimodal physiological dataset for driving behaviour analysis X Tao, D Gao, W Zhang, T Liu, B Du, S Zhang, Y Qin Scientific data 11 (1), 378, 2024 | 13 | 2024 |
| Cdgnet: A cross-time dynamic graph-based deep learning model for traffic forecasting Y Fang, Y Qin, H Luo, F Zhao, L Zeng, B Hui, C Wang arXiv preprint arXiv:2112.02736, 2021 | 13 | 2021 |
| NDGCN: network in network, dilate convolution and graph convolutional networks based transportation mode recognition Y Qin, H Luo, F Zhao, C Wang, Y Fang IEEE Transactions on Vehicular Technology 70 (3), 2138-2152, 2021 | 12 | 2021 |
| Memory attention enhanced graph convolution long short‐term memory network for traffic forecasting Y Qin, F Zhao, Y Fang, H Luo, C Wang International Journal of Intelligent Systems, 2022 | 11 | 2022 |
| Spatio-temporal meets wavelet: Disentangled traffic flow forecasting via efficient spectral graph attention network Y Fang, Y Qin, H Luo, F Zhao, B Xu, C Wang, L Zeng arXiv preprint arXiv:2112.02740, 2021 | 11 | 2021 |
| DMGCRN: Dynamic multi-graph convolution recurrent network for traffic forecasting Y Qin, Y Fang, H Luo, F Zhao, C Wang arXiv preprint arXiv:2112.02264, 2021 | 10 | 2021 |
| TBEEG: A Two-Branch Manifold Domain Enhanced Transformer Algorithm for Learning EEG Decoding Y Qin, W Zhang, X Tao IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2024 | 4 | 2024 |
| 基于深度残差长短记忆网络交通流预测算法 刘世泽， 秦艳君， 王晨星， 苏琳， 柯其学， 罗海勇， 孙艺 计算机应用, 2021 | 4 | 2021 |
| Deep spatio-temporal convolutional neural network for city traffic flow prediction Z Zhou, Y Qin, H Luo 2021 2nd International Conference on Computing and Data Science (CDS), 171-175, 2021 | 4 | 2021 |
Haiyong Luo中国科学院计算技术研究所在 ict.ac.cn 的电子邮件经过验证