Diagnosing New York city's noises with ubiquitous data Y Zheng, T Liu, Y Wang, Y Zhu, Y Liu, E Chang
Proceedings of the 2014 ACM international joint conference on pervasive and …, 2014
290 2014 Digital-twin-assisted task offloading based on edge collaboration in the digital twin edge network T Liu, L Tang, W Wang, Q Chen, X Zeng
IEEE Internet of Things Journal 9 (2), 1427-1444, 2021
183 2021 A mutually supervised graph attention network for few-shot segmentation: The perspective of fully utilizing limited samples H Gao, J Xiao, Y Yin, T Liu, J Shi
IEEE Transactions on neural networks and learning systems 35 (4), 4826-4838, 2022
162 2022 Understanding and modeling lossy compression schemes on HPC scientific data T Lu, Q Liu, X He, H Luo, E Suchyta, J Choi, N Podhorszki, S Klasky, ...
2018 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2018
117 2018 PPO2: Location privacy-oriented task offloading to edge computing using reinforcement learning for intelligent autonomous transport systems H Gao, W Huang, T Liu, Y Yin, Y Li
IEEE transactions on intelligent transportation systems 24 (7), 7599-7612, 2022
112 2022 High-ratio lossy compression: Exploring the autoencoder to compress scientific data T Liu, J Wang, Q Liu, S Alibhai, T Lu, X He
IEEE Transactions on Big Data 9 (1), 22-36, 2021
81 2021 Graph-enhanced spatial-temporal network for next POI recommendation Z Wang, Y Zhu, Q Zhang, H Liu, C Wang, T Liu
ACM Transactions on Knowledge Discovery from Data (TKDD) 16 (6), 1-21, 2022
78 2022 Online computation offloading and resource scheduling in mobile-edge computing T Liu, Y Zhang, Y Zhu, W Tong, Y Yang
IEEE Internet of Things Journal 8 (8), 6649-6664, 2021
77 2021 Cgan-based collaborative intrusion detection for uav networks: A blockchain-empowered distributed federated learning approach X He, Q Chen, L Tang, W Wang, T Liu
IEEE Internet of Things Journal 10 (1), 120-132, 2022
69 2022 Resource allocation in DT-assisted Internet of Vehicles via edge intelligent cooperation T Liu, L Tang, W Wang, X He, Q Chen, X Zeng, H Jiang
IEEE Internet of Things Journal 9 (18), 17608-17626, 2022
65 2022 Deep reinforcement learning based approach for online service placement and computation resource allocation in edge computing T Liu, S Ni, X Li, Y Zhu, L Kong, Y Yang
IEEE Transactions on Mobile Computing 22 (7), 3870-3881, 2022
61 2022 : When Active Learning Meets Compressive Crowdsensing for Urban Air Pollution MonitoringT Liu, Y Zhu, Y Yang, F Ye
IEEE Internet of Things Journal 6 (6), 9427-9438, 2019
52 2019 A near-optimal approach for online task offloading and resource allocation in edge-cloud orchestrated computing T Liu, L Fang, Y Zhu, W Tong, Y Yang
IEEE Transactions on Mobile Computing 21 (8), 2687-2700, 2020
42 2020 Predicting taxi demands via an attention-based convolutional recurrent neural network T Liu, W Wu, Y Zhu, W Tong
Knowledge-Based Systems 206, 106294, 2020
42 2020 Proximal policy optimization with mixed distributed training Z Zhang, X Luo, T Liu, S Xie, J Wang, W Wang, Y Li, Y Peng
2019 IEEE 31st international conference on tools with artificial …, 2019
33 2019 Social welfare maximization in participatory smartphone sensing T Liu, Y Zhu
Computer Networks 73, 195-209, 2014
30 2014 A mixed transmission strategy to achieve energy balancing in wireless sensor networks T Liu, T Gu, N Jin, Y Zhu
IEEE Transactions on wireless communications 16 (4), 2111-2122, 2017
29 2017 Federated continuous learning based on stacked broad learning system assisted by digital twin networks: An incremental learning approach for intrusion detection in UAV networks X He, Q Chen, L Tang, W Wang, T Liu, L Li, Q Liu, J Luo
IEEE Internet of Things Journal 10 (22), 19825-19838, 2023
27 2023 Methods for sensing urban noises T Liu, Y Zheng, L Liu, Y Liu, Y Zhu
Tec. Rep. MSR-TR-2014-66, 2014
27 2014 Distributed online anomaly detection for virtualized network slicing environment W Wang, C Liang, Q Chen, L Tang, H Yanikomeroglu, T Liu
IEEE Transactions on Vehicular Technology 71 (11), 12235-12249, 2022
25 2022