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 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 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 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
11 2024 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 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 Transportation recognition with the Sussex-Huawei Locomotion challenge Y Qin, C Wang, H Luo
Adjunct Proceedings of the 2019 ACM International Joint Conference on …, 2019
4 2019 
Haiyong Luo中国科学院计算技术研究所Потвърден имейл адрес: ict.ac.cn