Parallel Computing of Spatio-Temporal Model Based on Deep Reinforcement Learning. - Zhiqiang Lv; Jianbo Li; Zhihao Xu 002; Yue Wang 052; Haoran Li (WASA (1), 2021)

Temporal Attention-Based Graph Convolution Network for Taxi Demand Prediction in Functional Areas. - Yue Wang 052; Jianbo Li; Aite Zhao; Zhiqiang Lv; Guangquan Lu (WASA (1), 2021)

A graph spatial-temporal model for predicting population density of key areas. - Zhihao Xu 002; Jianbo Li; Zhiqiang Lv; Yue Wang 052; Liping Fu; Xinghao Wang (Comput. Electr. Eng., 2021)

DeepPTP: A Deep Pedestrian Trajectory Prediction Model for Traffic Intersection. - Zhiqiang Lv; Jianbo Li; Chuanhao Dong; Yue Wang 052; Haoran Li; Zhihao Xu 002 (KSII Trans. Internet Inf. Syst., 2021)

Blind Travel Prediction Based on Obstacle Avoidance in Indoor Scene. - Zhiqiang Lv; Jianbo Li; Haoran Li; Zhihao Xu 002; Yue Wang 052 (Wirel. Commun. Mob. Comput., 2021)

Spatio-Temporal Correlation Augmented Model for Traffic Flow Prediction in Urban Areas. - Yue Wang 052; Ming Chen; Aite Zhao (ICBDT, 2022)

A deep spatio-temporal meta-learning model for urban traffic revitalization index prediction in the COVID-19 pandemic. - Yue Wang 052; Zhiqiang Lv; Zhaoyu Sheng; Haokai Sun 002; Aite Zhao (Adv. Eng. Informatics, 2022)

Multi-attribute Graph Convolution Network for Regional Traffic Flow Prediction. - Yue Wang 052; Aite Zhao; Jianbo Li; Zhiqiang Lv; Chuanhao Dong; Haoran Li (Neural Process. Lett., 2023)

Transferable Self-Supervised Instance Learning for Sleep Recognition. - Aite Zhao; Yue Wang 052; Jianbo Li (IEEE Trans. Multim., 2023)

Traffic Flow Forecasting in the COVID-19: A Deep Spatial-temporal Model Based on Discrete Wavelet Transformation. - Haoran Li; Zhiqiang Lv; Jianbo Li; Zhihao Xu 002; Yue Wang 052; Haokai Sun 002; Zhaoyu Sheng (ACM Trans. Knowl. Discov. Data, 2023)

GASTO: A Fast Adaptive Graph Learning Framework for Edge Computing Empowered Task Offloading. - Yinong Li; Jianbo Li; Zhiqiang Lv; Haoran Li; Yue Wang 052; Zhihao Xu 002 (IEEE Trans. Netw. Serv. Manag., 2023)