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Saiqin Long
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2020 – today
- 2024
- [j17]Ping Wang, Zhetao Li, Bin Guo, Saiqin Long, Suiming Guo, Jiannong Cao:
A UAV-Assisted Truth Discovery Approach With Incentive Mechanism Design in Mobile Crowd Sensing. IEEE/ACM Trans. Netw. 32(2): 1738-1752 (2024) - [j16]Hai Xue, Di Zhang, Celimuge Wu, Yusheng Ji, Saiqin Long, Cheng Wang, Takuro Sato:
Parameter Estimation-Aided Edge Server Selection Mechanism for Edge Task Offloading. IEEE Trans. Veh. Technol. 73(2): 2506-2519 (2024) - [c10]Yanchun Li, Senlin Deng, Dongsu Shen, Shujuan Tian, Saiqin Long:
WkNER: Enhancing Named Entity Recognition with Word Segmentation Constraints and kNN Retrieval. LREC/COLING 2024: 17651-17663 - 2023
- [j15]Zhetao Li, Zhihui Tan, Saiqin Long, Chengxin Li, Ping Wang, Qingyong Deng:
A novel coverage-aware task allocation scheme in Cooperative Mobile Crowd Sensing. Ad Hoc Networks 151: 103297 (2023) - [j14]Haojun Teng, Zhetao Li, Kun Cao, Saiqin Long, Song Guo, Anfeng Liu:
Game Theoretical Task Offloading for Profit Maximization in Mobile Edge Computing. IEEE Trans. Mob. Comput. 22(9): 5313-5329 (2023) - [j13]Saiqin Long, Ying Zhang, Qingyong Deng, Tingrui Pei, Jinzhi Ouyang, Zhihua Xia:
An Efficient Task Offloading Approach Based on Multi-Objective Evolutionary Algorithm in Cloud-Edge Collaborative Environment. IEEE Trans. Netw. Sci. Eng. 10(2): 645-657 (2023) - [j12]Haolin Liu, Saiqin Long, Zhetao Li, Yu Fu, Yong Zuo, Xinglin Zhang:
Revenue Maximizing Online Service Function Chain Deployment in Multi-Tier Computing Network. IEEE Trans. Parallel Distributed Syst. 34(3): 781-796 (2023) - [j11]Shujuan Tian, Chi Chang, Saiqin Long, Sangyoon Oh, Zhetao Li, Jun Long:
User Preference-Based Hierarchical Offloading for Collaborative Cloud-Edge Computing. IEEE Trans. Serv. Comput. 16(1): 684-697 (2023) - [j10]Haolin Liu, Xiaoling Long, Zhetao Li, Saiqin Long, Rong Ran, Hui-Ming Wang:
Joint Optimization of Request Assignment and Computing Resource Allocation in Multi-Access Edge Computing. IEEE Trans. Serv. Comput. 16(2): 1254-1267 (2023) - [c9]Sihui Jia, Saiqin Long, Zhirun Zheng, Qingyong Deng, Ping Wang, Shujuan Tian:
Trajectory Privacy Protection with Pricing Awareness on Ride-on-Demand System. CSCloud/EdgeCom 2023: 37-45 - [c8]Haolin Liu, Zehang Tan, Zhetao Li, Saiqin Long, Shujuan Tian, Xiaoshan Li:
Reliability-Aware VNF Provisioning in Homogeneous and Heterogeneous Multi-access Edge Computing. ICA3PP (2) 2023: 147-167 - [c7]Yanchun Li, Xinan He, Shujuan Tian, Zhetao Li, Saiqin Long:
Deep Feature Aggregation for Lightweight Single Image Super-Resolution. ICASSP 2023: 1-5 - 2022
- [j9]Saiqin Long, Xin Dai, Tingrui Pei, Jiasheng Cao, Hiroo Sekiya, Young-June Choi:
Energy-efficient VM opening algorithms for real-time workflows in heterogeneous clouds. Neurocomputing 483: 501-514 (2022) - [j8]Yanchun Li, Zhetao Li, Li Zeng, Saiqin Long, Feiran Huang, Kui Ren:
Compound adversarial examples in deep neural networks. Inf. Sci. 613: 50-68 (2022) - [j7]Zhetao Li, Jie Zhang, Yanchun Li, Jiang Zhu, Saiqin Long, Dengfeng Xue, Longfei Fan:
Learning Feature Channel Weighting for Real-Time Visual Tracking. IEEE Trans. Image Process. 31: 2190-2200 (2022) - [j6]Saiqin Long, Wen Wen, Zhetao Li, Kenli Li, Rong Yu, Jiang Zhu:
A Global Cost-Aware Container Scheduling Strategy in Cloud Data Centers. IEEE Trans. Parallel Distributed Syst. 33(11): 2752-2766 (2022) - [j5]Dewen Qiao, Songtao Guo, Defang Liu, Saiqin Long, Pengzhan Zhou, Zhetao Li:
Adaptive Federated Deep Reinforcement Learning for Proactive Content Caching in Edge Computing. IEEE Trans. Parallel Distributed Syst. 33(12): 4767-4782 (2022) - [c6]Tao Sun, Dongsu Shen, Saiqin Long, Qingyong Deng, Shiguo Wang:
Neural Distinguishers on tt TinyJAMBU-128 and tt GIFT-64. ICONIP (5) 2022: 419-431 - 2021
- [j4]Saiqin Long, Weifan Long, Zhetao Li, Kenli Li, Yuanqing Xia, Zhuo Tang:
A Game-Based Approach for Cost-Aware Task Assignment With QoS Constraint in Collaborative Edge and Cloud Environments. IEEE Trans. Parallel Distributed Syst. 32(7): 1629-1640 (2021) - 2020
- [c5]Saiqin Long, Hao Yu, Zhetao Li, Shujuan Tian, Yun Li:
Energy efficiency evaluation based on QoS parameter specification for cloud systems. HPCC/DSS/SmartCity 2020: 27-34 - [c4]Saiqin Long, Zhetao Li, Yun Xing, Shujuan Tian, Dongsheng Li, Rong Yu:
A Reinforcement Learning-Based Virtual Machine Placement Strategy in Cloud Data Centers. HPCC/DSS/SmartCity 2020: 223-230 - [c3]Saiqin Long, Zhetao Li, Zihao Liu, Qingyong Deng, Sangyoon Oh, Nobuyoshi Komuro:
A similarity clustering-based deduplication strategy in cloud storage systems. ICPADS 2020: 35-43 - [c2]Yutian Lei, Qingyong Deng, Saiqin Long, Shaohui Liu, Sangyoon Oh:
An Effective Design to Improve the Efficiency of DPUs on FPGA. ICPADS 2020: 206-213
2010 – 2019
- 2019
- [c1]Ziyu Shen, Xusheng Zhang, Binghui Liu, Bin Xia, Zheng Liu, Yun Li, Saiqin Long:
PCP-2LSTM: Two Stacked LSTM-Based Prediction Model for Power Consumption in Data Centers. CBD 2019: 13-18 - 2015
- [j3]Saiqin Long, Yuelong Zhao, Wei Chen, Yuanbin Tang:
A prediction-based dynamic file assignment strategy for parallel file systems. Parallel Comput. 41: 1-13 (2015) - 2014
- [j2]Saiqin Long, Yuelong Zhao, Wei Chen:
MORM: A Multi-objective Optimized Replication Management strategy for cloud storage cluster. J. Syst. Archit. 60(2): 234-244 (2014) - [j1]Saiqin Long, Yuelong Zhao, Wei Chen:
A three-phase energy-saving strategy for cloud storage systems. J. Syst. Softw. 87: 38-47 (2014)
Coauthor Index
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last updated on 2024-05-24 00:23 CEST by the dblp team
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