Collaborative city digital twin for the COVID-19 pandemic: A federated learning solution J Pang, Y Huang, Z Xie, J Li, Z Cai Tsinghua science and technology 26 (5), 759-771, 2021 | 206 | 2021 |
A survey of opportunistic offloading D Xu, Y Li, X Chen, J Li, P Hui, S Chen, J Crowcroft IEEE Communications Surveys & Tutorials 20 (3), 2198-2236, 2018 | 150 | 2018 |
RL/DRL meets vehicular task offloading using edge and vehicular cloudlet: A survey J Liu, M Ahmed, MA Mirza, WU Khan, D Xu, J Li, A Aziz, Z Han IEEE Internet of Things Journal 9 (11), 8315-8338, 2022 | 117 | 2022 |
A novel perspective on travel demand prediction considering natural environmental and socioeconomic factors Z Xu, Z Lv, J Li, H Sun, Z Sheng IEEE Intelligent Transportation Systems Magazine 15 (1), 136-159, 2022 | 87 | 2022 |
Deep learning in the COVID-19 epidemic: A deep model for urban traffic revitalization index Z Lv, J Li, C Dong, H Li, Z Xu Data & Knowledge Engineering 135, 101912, 2021 | 83 | 2021 |
Multimodal gait recognition for neurodegenerative diseases A Zhao, J Li, J Dong, L Qi, Q Zhang, N Li, X Wang, H Zhou IEEE transactions on cybernetics 52 (9), 9439-9453, 2021 | 63 | 2021 |
SpiderNet: A spiderweb graph neural network for multi-view gait recognition A Zhao, J Li, M Ahmed Knowledge-Based Systems 206, 106273, 2020 | 60 | 2020 |
DeepSTF: A deep spatial–temporal forecast model of taxi flow Z Lv, J Li, C Dong, Z Xu The Computer Journal 66 (3), 565-580, 2023 | 58 | 2023 |
Associated spatio-temporal capsule network for gait recognition A Zhao, J Dong, J Li, L Qi, H Zhou IEEE Transactions on Multimedia 24, 846-860, 2021 | 52 | 2021 |
Backscatter sensors communication for 6G low-powered NOMA-enabled IoT networks under imperfect SIC M Ahmed, WU Khan, A Ihsan, X Li, J Li, TA Tsiftsis IEEE Systems Journal 16 (4), 5883-5893, 2022 | 47 | 2022 |
Blind travel prediction based on obstacle avoidance in indoor scene Z Lv, J Li, H Li, Z Xu, Y Wang Wireless Communications and Mobile Computing 2021 (1), 5536386, 2021 | 46 | 2021 |
A novel approach for predicting water demand with complex patterns based on ensemble learning Z Xu, Z Lv, J Li, A Shi Water Resources Management 36 (11), 4293-4312, 2022 | 41 | 2022 |
基于层次包围盒的碰撞检测方法 潘振宽, 崔树娟, 张继萍, 李建波 青岛大学学报: 自然科学版 18 (1), 71-76, 2005 | 39 | 2005 |
Traffic flow forecasting in the covid-19: A deep spatial-temporal model based on discrete wavelet transformation H Li, Z Lv, J Li, Z Xu, Y Wang, H Sun, Z Sheng ACM Transactions on Knowledge Discovery from Data 17 (5), 1-28, 2023 | 37 | 2023 |
Transferable self-supervised instance learning for sleep recognition A Zhao, Y Wang, J Li IEEE Transactions on Multimedia 25, 4464-4477, 2022 | 28 | 2022 |
A graph spatial-temporal model for predicting population density of key areas Z Xu, J Li, Z Lv, Y Wang, L Fu, X Wang Computers & Electrical Engineering 93, 107235, 2021 | 28 | 2021 |
A new approach to COVID-19 data mining: A deep spatial–temporal prediction model based on tree structure for traffic revitalization index Z Lv, X Wang, Z Cheng, J Li, H Li, Z Xu Data & Knowledge Engineering 146, 102193, 2023 | 23 | 2023 |
Taxi travel time prediction based on fusion of traffic condition features Z Sheng, Z Lv, J Li, Z Xu, H Sun, X Liu, R Ye Computers and Electrical Engineering 105, 108530, 2023 | 23 | 2023 |
MPAR: A movement pattern-aware optimal routing for social delay tolerant networks L You, J Li, C Wei, L Hu Ad Hoc Networks 24, 228-249, 2015 | 23 | 2015 |
基于压缩的 AABB 树的碰撞检测算法 潘振宽, 李建波 计算机科学 32 (2), 213-215, 2005 | 23 | 2005 |