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Penglin Dai
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2020 – today
- 2024
- [j35]Junhua Wang, Ling Wang, Kun Zhu, Penglin Dai:
Lyapunov-Based Joint Flight Trajectory and Computation Offloading Optimization for UAV-Assisted Vehicular Networks. IEEE Internet Things J. 11(12): 22243-22256 (2024) - [j34]Penglin Dai, Yaorong Huang, Xiao Wu, Ke Li, Huanlai Xing, Kai Liu:
Freshness and Security-Aware Cache Update in Blockchain-Based Vehicular Edge Networks. IEEE Trans. Consumer Electron. 70(1): 108-121 (2024) - [j33]Kai Liu, Xincao Xu, Penglin Dai, Biwen Chen:
Cooperative Sensing and Uploading for Quality-Cost Tradeoff of Digital Twins in VEC. IEEE Trans. Consumer Electron. 70(1): 3614-3625 (2024) - [j32]Zhiwen Xiao, Huanlai Xing, Bowen Zhao, Rong Qu, Shouxi Luo, Penglin Dai, Ke Li, Zonghai Zhu:
Deep Contrastive Representation Learning With Self-Distillation. IEEE Trans. Emerg. Top. Comput. Intell. 8(1): 3-15 (2024) - [j31]Junhua Wang, Kun Zhu, Penglin Dai, Zhu Han:
An Adaptive Q-Value Adjustment-Based Learning Model for Reliable Vehicle-to-UAV Computation Offloading. IEEE Trans. Intell. Transp. Syst. 25(5): 3699-3713 (2024) - [j30]Xincao Xu, Kai Liu, Penglin Dai, Ruitao Xie, Jingjing Cao, Jiangtao Luo:
Cooperative Sensing and Heterogeneous Information Fusion in VCPS: A Multi-Agent Deep Reinforcement Learning Approach. IEEE Trans. Intell. Transp. Syst. 25(6): 4876-4891 (2024) - [j29]Penglin Dai, Biao Han, Xiao Wu, Huanlai Xing, Bingyi Liu, Kai Liu:
Distributed Convex Relaxation for Heterogeneous Task Replication in Mobile Edge Computing. IEEE Trans. Mob. Comput. 23(2): 1230-1245 (2024) - [j28]Penglin Dai, Yaorong Huang, Kaiwen Hu, Xiao Wu, Huanlai Xing, Zhaofei Yu:
Meta Reinforcement Learning for Multi-Task Offloading in Vehicular Edge Computing. IEEE Trans. Mob. Comput. 23(3): 2123-2138 (2024) - [j27]Zhiwen Xiao, Huanlai Xing, Rong Qu, Li Feng, Shouxi Luo, Penglin Dai, Bowen Zhao, Yuanshun Dai:
Densely Knowledge-Aware Network for Multivariate Time Series Classification. IEEE Trans. Syst. Man Cybern. Syst. 54(4): 2192-2204 (2024) - 2023
- [j26]Xincao Xu, Kai Liu, Penglin Dai, Feiyu Jin, Hualing Ren, Choujun Zhan, Songtao Guo:
Joint task offloading and resource optimization in NOMA-based vehicular edge computing: A game-theoretic DRL approach. J. Syst. Archit. 134: 102780 (2023) - [j25]Penglin Dai, Jingtao Luo, Kangli Zhao, Huanlai Xing, Xiao Wu:
Stacked denoising autoencoder for missing traffic data reconstruction via mobile edge computing. Neural Comput. Appl. 35(19): 14259-14274 (2023) - [j24]Penglin Dai, Feng Song, Kai Liu, Yueyue Dai, Pan Zhou, Songtao Guo:
Edge Intelligence for Adaptive Multimedia Streaming in Heterogeneous Internet of Vehicles. IEEE Trans. Mob. Comput. 22(3): 1464-1478 (2023) - [j23]Fuhong Song, Huanlai Xing, Xinhan Wang, Shouxi Luo, Penglin Dai, Zhiwen Xiao, Bowen Zhao:
Evolutionary Multi-Objective Reinforcement Learning Based Trajectory Control and Task Offloading in UAV-Assisted Mobile Edge Computing. IEEE Trans. Mob. Comput. 22(12): 7387-7405 (2023) - [j22]Xinhan Wang, Huanlai Xing, Fuhong Song, Shouxi Luo, Penglin Dai, Bowen Zhao:
On Jointly Optimizing Partial Offloading and SFC Mapping: A Cooperative Dual-Agent Deep Reinforcement Learning Approach. IEEE Trans. Parallel Distributed Syst. 34(8): 2479-2497 (2023) - [c20]Hualing Ren, Kai Liu, Yantao Li, Penglin Dai, Ke Xiao:
Cooperative Data Uploading and Task Offloading via Markov-Approximation in Heterogeneous Vehicular Networks. ITSC 2023: 3200-3206 - [i9]Tong Bu, Wei Fang, Jianhao Ding, Penglin Dai, Zhaofei Yu, Tiejun Huang:
Optimal ANN-SNN Conversion for High-accuracy and Ultra-low-latency Spiking Neural Networks. CoRR abs/2303.04347 (2023) - 2022
- [j21]Huanlai Xing, Haoxiang Qin, Shouxi Luo, Penglin Dai, Lexi Xu, Xinzhou Cheng:
Spectrum sensing in cognitive radio: A deep learning based model. Trans. Emerg. Telecommun. Technol. 33(1) (2022) - [j20]Fuhong Song, Huanlai Xing, Xinhan Wang, Shouxi Luo, Penglin Dai, Ke Li:
Offloading dependent tasks in multi-access edge computing: A multi-objective reinforcement learning approach. Future Gener. Comput. Syst. 128: 333-348 (2022) - [j19]Huanlai Xing, Zhiwen Xiao, Dawei Zhan, Shouxi Luo, Penglin Dai, Ke Li:
SelfMatch: Robust semisupervised time-series classification with self-distillation. Int. J. Intell. Syst. 37(11): 8583-8610 (2022) - [j18]Huanlai Xing, Jing Zhu, Rong Qu, Penglin Dai, Shouxi Luo, Muhammad Azhar Iqbal:
An ACO for energy-efficient and traffic-aware virtual machine placement in cloud computing. Swarm Evol. Comput. 68: 101012 (2022) - [j17]Penglin Dai, Kaiwen Hu, Xiao Wu, Huanlai Xing, Fei Teng, Zhaofei Yu:
A Probabilistic Approach for Cooperative Computation Offloading in MEC-Assisted Vehicular Networks. IEEE Trans. Intell. Transp. Syst. 23(2): 899-911 (2022) - [j16]Zongkai Liu, Penglin Dai, Huanlai Xing, Zhaofei Yu, Wei Zhang:
A Distributed Algorithm for Task Offloading in Vehicular Networks With Hybrid Fog/Cloud Computing. IEEE Trans. Syst. Man Cybern. Syst. 52(7): 4388-4401 (2022) - [c19]Tong Bu, Wei Fang, Jianhao Ding, Penglin Dai, Zhaofei Yu, Tiejun Huang:
Optimal ANN-SNN Conversion for High-accuracy and Ultra-low-latency Spiking Neural Networks. ICLR 2022 - [c18]Hualing Ren, Kai Liu, Feiyu Jin, Chunhui Liu, Yantao Li, Penglin Dai:
Dependency-aware Task Offloading via End-Edge-Cloud Cooperation in Heterogeneous Vehicular Networks. ITSC 2022: 1420-1426 - [c17]Hao Jiang, Penglin Dai, Kai Liu, Feiyu Jin, Hualing Ren, Songtao Guo:
Traffic Event Augmentation via Vehicular Edge Computing: A Vehicle ReID based Solution. MSN 2022: 633-640 - [c16]Xuhui Wang, Xin Deng, Hao Zhang, Kai Liu, Penglin Dai:
LCSW: A Novel Indoor Localization System Based on CNN-SVM Model with WKNN in Wi-Fi Environments. NCAA (2) 2022: 162-176 - [i8]Fuhong Song, Huanlai Xing, Xinhan Wang, Shouxi Luo, Penglin Dai, Zhiwen Xiao, Bowen Zhao:
Evolutionary Multi-Objective Reinforcement Learning Based Trajectory Control and Task Offloading in UAV-Assisted Mobile Edge Computing. CoRR abs/2202.12028 (2022) - [i7]Xinhan Wang, Huanlai Xing, Fuhong Song, Shouxi Luo, Penglin Dai, Bowen Zhao:
On Jointly Optimizing Partial Offloading and SFC Mapping: A Cooperative Dual-agent Deep Reinforcement Learning Approach. CoRR abs/2205.09925 (2022) - [i6]Xincao Xu, Kai Liu, Penglin Dai, Ruitao Xie, Jiangtao Luo:
Cooperative Sensing and Heterogeneous Information Fusion in VCPS: A Multi-agent Deep Reinforcement Learning Approach. CoRR abs/2209.12265 (2022) - [i5]Xincao Xu, Kai Liu, Penglin Dai, Feiyu Jin, Hualing Ren, Choujun Zhan, Songtao Guo:
Joint Task Offloading and Resource Optimization in NOMA-based Vehicular Edge Computing: A Game-Theoretic DRL Approach. CoRR abs/2209.12749 (2022) - [i4]Xincao Xu, Kai Liu, Penglin Dai, Biwen Chen:
Enabling Digital Twin in Vehicular Edge Computing: A Multi-Agent Multi-Objective Deep Reinforcement Learning Solution. CoRR abs/2210.17386 (2022) - [i3]Xincao Xu, Kai Liu, Penglin Dai, Hao Zhang, Ke Xiao:
Maximizing Quality and Minimizing Cost for VCPS in ISAC-Based Vehicular Networks: A Deep Reinforcement Learning Approach. CoRR abs/2211.00007 (2022) - 2021
- [j15]Xinhan Wang, Huanlai Xing, Dawei Zhan, Shouxi Luo, Penglin Dai, Muhammad Azhar Iqbal:
A two-stage approach for multicast-oriented virtual network function placement. Appl. Soft Comput. 112: 107798 (2021) - [j14]Zhiwen Xiao, Xin Xu, Huanlai Xing, Shouxi Luo, Penglin Dai, Dawei Zhan:
RTFN: A robust temporal feature network for time series classification. Inf. Sci. 571: 65-86 (2021) - [j13]Kai Liu, Ke Xiao, Penglin Dai, Victor C. S. Lee, Songtao Guo, Jiannong Cao:
Fog Computing Empowered Data Dissemination in Software Defined Heterogeneous VANETs. IEEE Trans. Mob. Comput. 20(11): 3181-3193 (2021) - [c15]Dong Wang, Kai Liu, Liang Feng, Penglin Dai, Weiwei Wu, Songtao Guo:
Evolutionary Multitasking for Cross-domain Task Optimization via Vehicular Edge Computing. GLOBECOM 2021: 1-6 - [c14]Penglin Dai, Kaiwen Hu, Xiao Wu, Huanlai Xing, Zhaofei Yu:
Asynchronous Deep Reinforcement Learning for Data-Driven Task Offloading in MEC-Empowered Vehicular Networks. INFOCOM 2021: 1-10 - 2020
- [j12]Fuhong Song, Huanlai Xing, Shouxi Luo, Dawei Zhan, Penglin Dai, Rong Qu:
A Multiobjective Computation Offloading Algorithm for Mobile-Edge Computing. IEEE Internet Things J. 7(9): 8780-8799 (2020) - [j11]Keke Huang, Shuo Li, Penglin Dai, Zhen Wang, Zhaofei Yu:
SDARE: A stacked denoising autoencoder method for game dynamics network structure reconstruction. Neural Networks 126: 143-152 (2020) - [j10]Penglin Dai, Zihua Hang, Kai Liu, Xiao Wu, Huanlai Xing, Zhaofei Yu, Victor Chung Sing Lee:
Multi-Armed Bandit Learning for Computation-Intensive Services in MEC-Empowered Vehicular Networks. IEEE Trans. Veh. Technol. 69(7): 7821-7834 (2020) - [c13]Juan Chen, Zhiwen Xiao, Huanlai Xing, Penglin Dai, Shouxi Luo, Muhammad Azhar Iqbal:
STDPG: A Spatio-Temporal Deterministic Policy Gradient Agent for Dynamic Routing in SDN. ICC 2020: 1-6 - [c12]Hualing Ren, Kai Liu, Penglin Dai, Yantao Li, Ruitao Xie, Songtao Guo:
Adaptive Task Scheduling via End-Edge-Cloud Cooperation in Vehicular Networks. WASA (1) 2020: 407-419 - [i2]Juan Chen, Zhiwen Xiao, Huanlai Xing, Penglin Dai, Shouxi Luo, Muhammad Azhar Iqbal:
STDPG: A Spatio-Temporal Deterministic Policy Gradient Agent for Dynamic Routing in SDN. CoRR abs/2004.09783 (2020) - [i1]Zhiwen Xiao, Xin Xu, Huanlai Xing, Shouxi Luo, Penglin Dai, Dawei Zhan:
RTFN: A Robust Temporal Feature Network for Time Series Classification. CoRR abs/2011.11829 (2020)
2010 – 2019
- 2019
- [j9]Huanlai Xing, Xinyu Zhou, Xinhan Wang, Shouxi Luo, Penglin Dai, Ke Li, Hui Yang:
An integer encoding grey wolf optimizer for virtual network function placement. Appl. Soft Comput. 76: 575-594 (2019) - [j8]Penglin Dai, Kai Liu, Xiao Wu, Zhaofei Yu, Huanlai Xing, Victor Chung Sing Lee:
Cooperative Temporal Data Dissemination in SDN-Based Heterogeneous Vehicular Networks. IEEE Internet Things J. 6(1): 72-83 (2019) - [j7]Kong Ye, Penglin Dai, Xiao Wu, Yan Ding, Huanlai Xing, Zhaofei Yu:
Bandwidth-Aware Traffic Sensing in Vehicular Networks with Mobile Edge Computing. Sensors 19(16): 3547 (2019) - [j6]Penglin Dai, Kai Liu, Liang Feng, Haijun Zhang, Victor Chung Sing Lee, Sang Hyuk Son, Xiao Wu:
Temporal Information Services in Large-Scale Vehicular Networks Through Evolutionary Multi-Objective Optimization. IEEE Trans. Intell. Transp. Syst. 20(1): 218-231 (2019) - [c11]Huanlai Xing, Song Li, Penglin Dai, Shouxi Luo, Ke Li, Hui Yang:
A PBIL for delay constrained virtual network function placement with load balancing. ACM TUR-C 2019: 7:1-7:6 - [c10]Penglin Dai, Kai Liu, Xiao Wu, Huanlai Xing, Jing Xu, Victor C. S. Lee:
Joint Resource Optimization for Adaptive Multimedia Services in MEC-Based Vehicular Networks. GLOBECOM 2019: 1-6 - [c9]Penglin Dai, Kai Liu, Xiao Wu, Huanlai Xing, Zhaofei Yu, Victor C. S. Lee:
A Learning Algorithm for Real-Time Service in Vehicular Networks with Mobile-Edge Computing. ICC 2019: 1-6 - [c8]Penglin Dai, Kai Liu, Xiao Wu, Huanlai Xing, Victor C. S. Lee:
Multi-objective Optimization for Network Resource Management in Heterogeneous Vehicular Networks. WCNC 2019: 1-6 - 2018
- [j5]Kai Liu, Liang Feng, Penglin Dai, Victor C. S. Lee, Sang Hyuk Son, Jiannong Cao:
Coding-Assisted Broadcast Scheduling via Memetic Computing in SDN-Based Vehicular Networks. IEEE Trans. Intell. Transp. Syst. 19(8): 2420-2431 (2018) - [j4]Penglin Dai, Kai Liu, Xiao Wu, Yong Liao, Victor Chung Sing Lee, Sang Hyuk Son:
Bandwidth Efficiency and Service Adaptiveness Oriented Data Dissemination in Heterogeneous Vehicular Networks. IEEE Trans. Veh. Technol. 67(7): 6585-6598 (2018) - [c7]Penglin Dai, Kai Liu, Ke Xiao, Junhua Wang, Zhaofei Yu, Huanlai Xing:
An Adaptive Task Assignment Scheme for Data Service in Heterogeneous Vehicular Networks. NAS 2018: 1-4 - 2017
- [c6]Kai Liu, Liang Feng, Penglin Dai, Weiwei Wu, Victor C. S. Lee, Sang Hyuk Son:
A Memetic Algorithm for Cache-Aided Data Broadcast with Network Coding in Vehicular Networks. GLOBECOM 2017: 1-6 - 2016
- [j3]Huizhang Luo, Penglin Dai, Liang Shi, Chun Jason Xue, Qingfeng Zhuge, Edwin Hsing-Mean Sha:
Write reconstruction for write throughput improvement on MLC PCM based main memory. J. Syst. Archit. 71: 62-72 (2016) - [j2]Penglin Dai, Kai Liu, Qingfeng Zhuge, Edwin Hsing-Mean Sha, Victor Chung Sing Lee, Sang Hyuk Son:
Quality-of-Experience-Oriented Autonomous Intersection Control in Vehicular Networks. IEEE Trans. Intell. Transp. Syst. 17(7): 1956-1967 (2016) - [c5]Junhua Wang, Kai Liu, Penglin Dai, Edwin Hsing-Mean Sha, Liang Feng, Chao Chen, Chunhua Xiao:
Cooperative Information Services Based on Predictable Trajectories in Bus-VANETs. HPCC/SmartCity/DSS 2016: 951-958 - [c4]Penglin Dai, Kai Liu, Liang Feng, Qingfeng Zhuge, Victor Chung Sing Lee, Sang Hyuk Son:
Towards Real-Time and Temporal Information Services in Vehicular Networks via Multi-Objective Optimization. LCN 2016: 671-679 - [c3]Penglin Dai, Kai Liu, Qingfeng Zhuge, Edwin Hsing-Mean Sha, Victor Chung Sing Lee, Sang Hyuk Son:
A Convex Optimization Based Autonomous Intersection Control Strategy in Vehicular Cyber-Physical Systems. UIC/ATC/ScalCom/CBDCom/IoP/SmartWorld 2016: 203-210 - 2015
- [c2]Xianzhang Chen, Edwin Hsing-Mean Sha, Qingfeng Zhuge, Penglin Dai, Weiwen Jiang:
Optimizing data placement for reducing shift operations on domain wall memories. DAC 2015: 139:1-139:6 - [c1]Penglin Dai, Kai Liu, Edwin Hsing-Mean Sha, Qingfeng Zhuge, Victor C. S. Lee, Sang Hyuk Son:
Vehicle Assisted Data Update for Temporal Information Service in Vehicular Networks. ITSC 2015: 2545-2550 - 2013
- [j1]Penglin Dai, Qingfeng Zhuge, Xianzhang Chen, Weiwen Jiang, Edwin Hsing-Mean Sha:
Effective file data-block placement for different types of page cache on hybrid main memory architectures. Des. Autom. Embed. Syst. 17(3-4): 485-506 (2013)
Coauthor Index
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last updated on 2024-10-01 21:42 CEST by the dblp team
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