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Xiaolan Liu
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2020 – today
- 2024
- [j51]Huan Zhang, Xiaolan Liu, Jia Deng, Yan Sun:
Strong convergence of modified inertial extragradient methods for non-Lipschitz continuous variational inequalities and fixed point problems. Comput. Appl. Math. 43(1): 64 (2024) - [j50]Huan Zhang, Xiaolan Liu:
Weak and strong convergence of a modified double inertial projection algorithm for solving variational inequality problems. Commun. Nonlinear Sci. Numer. Simul. 130: 107766 (2024) - [j49]Jianing Zheng, Xiaolan Liu, Zhuang Ling, Fengye Hu:
AoU-Based Local Update and User Scheduling for Semi-Asynchronous Online Federated Learning in Wireless Networks. IEEE Internet Things J. 11(18): 29673-29688 (2024) - [j48]Jingxin Li, Xiaolan Liu, Toktam Mahmoodi:
Federated Learning in Heterogeneous Wireless Networks With Adaptive Mixing Aggregation and Computation Reduction. IEEE Open J. Commun. Soc. 5: 2164-2182 (2024) - [j47]Mengying Xie, Xiaolan Liu, Xiaowei Yang:
A Nonlocal Self-Similarity-Based Weighted Tensor Low-Rank Decomposition for Multichannel Image Completion With Mixture Noise. IEEE Trans. Neural Networks Learn. Syst. 35(1): 73-87 (2024) - [j46]Xudong Luo, Long Ye, Xiaolan Liu, Xiaohao Wen, Mengchu Zhou, Qin Zhang:
Interpretability Diversity for Decision-Tree-Initialized Dendritic Neuron Model Ensemble. IEEE Trans. Neural Networks Learn. Syst. 35(11): 15896-15909 (2024) - [c30]Rafael Pina, Varuna De Silva, Corentin Artaud, Xiaolan Liu:
Fully Independent Communication in Multi-Agent Reinforcement Learning. AAMAS 2024: 2423-2425 - [c29]Marios Aristodemou, Xiaolan Liu, Sangarapillai Lambotharan:
Bayesian Optimisation-Driven Poisoning Attack Against Personalised Federated Learning in Metaverse. ICC Workshops 2024: 1980-1985 - [i11]Rafael Pina, Varuna De Silva, Corentin Artaud, Xiaolan Liu:
Fully Independent Communication in Multi-Agent Reinforcement Learning. CoRR abs/2401.15059 (2024) - 2023
- [j45]Marios Aristodemou, Xiaolan Liu, Sangarapillai Lambotharan, Basil AsSadhan:
Bayesian Optimization-Driven Adversarial Poisoning Attacks Against Distributed Learning. IEEE Access 11: 86214-86226 (2023) - [j44]Xiaolan Liu, Yuanwei Liu:
Distributed Learning for Metaverse over Wireless Networks. IEEE Commun. Mag. 61(9): 40-46 (2023) - [j43]Huan Zhang, Xiaolan Liu, Jia Deng, Yan Sun:
An improved relaxed inertial projection algorithm for solving the minimum-norm solution of variational inequality and fixed point problems. J. Appl. Math. Comput. 69(3): 2717-2739 (2023) - [j42]Xiaolan Liu, Jiadong Yu, Yuanwei Liu, Yue Gao, Toktam Mahmoodi, Sangarapillai Lambotharan, Danny Hin-Kwok Tsang:
Distributed Intelligence in Wireless Networks. IEEE Open J. Commun. Soc. 4: 1001-1039 (2023) - [j41]Xiaolan Liu, Gunasekaran Nallaselli, Absar Ul Haq, Arul Joseph Gnanaprakasam, Imran Abbas Baloch:
Fixed Point Results via Orthogonal (α - 𝔶 - 𝔾)-Contraction in Orthogonal Complete Metric Space. Symmetry 15(9): 1762 (2023) - [j40]Mengying Xie, Xiaolan Liu, Xiaowei Yang, Wenzeng Cai:
Multichannel Image Completion With Mixture Noise: Adaptive Sparse Low-Rank Tensor Subspace Meets Nonlocal Self-Similarity. IEEE Trans. Cybern. 53(12): 7521-7534 (2023) - [j39]Xiaolan Liu, Yansha Deng, Toktam Mahmoodi:
Wireless Distributed Learning: A New Hybrid Split and Federated Learning Approach. IEEE Trans. Wirel. Commun. 22(4): 2650-2665 (2023) - [j38]Jiadong Yu, Yang Li, Xiaolan Liu, Bo Sun, Yuan Wu, Danny Hin-Kwok Tsang:
IRS Assisted NOMA Aided Mobile Edge Computing With Queue Stability: Heterogeneous Multi-Agent Reinforcement Learning. IEEE Trans. Wirel. Commun. 22(7): 4296-4312 (2023) - [c28]Jiadong Yu, Yang Li, Xiaolan Liu, Bo Sun, Yuan Wu, Danny H. K. Tsang:
Energy Efficient IRS Assisted NOMA Aided Mobile Edge Computing via Heterogeneous Multi-Agent Reinforcement Learning. ICC 2023: 5352-5357 - [c27]Marios Aristodemou, Xiaolan Liu, Sangarapillai Lambotharan:
Adversarial Poisoning Attacks on Federated Learning in Metaverse. ICC 2023: 6312-6317 - [c26]Xudong Luo, Long Ye, Xiaolan Liu, Xiaohao Wen, Qin Zhang:
Pruning of Dendritic Neuron Model with Significance Constraints for Classification. IJCNN 2023: 1-8 - [c25]Rafael Pina, Corentin Artaud, Xiaolan Liu, Varuna De Silva:
Staged Reinforcement Learning for Complex Tasks Through Decomposed Environments. ISPR (2) 2023: 141-154 - [c24]Jingxin Li, Xiaolan Liu, Toktam Mahmoodi:
Opportunistic Transmission of Distributed Learning Models in Mobile UAVs. PIMRC 2023: 1-6 - [c23]Xiaolan Liu, Jackson Ross, Yue Liu, Yuanwei Liu:
Asynchronous Personalized Learning for Heterogeneous Wireless Networks. SPAWC 2023: 81-85 - [i10]Charuka Herath, Yogachandran Rahulamathavan, Xiaolan Liu:
Recursive Euclidean Distance Based Robust Aggregation Technique For Federated Learning. CoRR abs/2303.11337 (2023) - [i9]Yogachandran Rahulamathavan, Charuka Herath, Xiaolan Liu, Sangarapillai Lambotharan, Carsten Maple:
FheFL: Fully Homomorphic Encryption Friendly Privacy-Preserving Federated Learning with Byzantine Users. CoRR abs/2306.05112 (2023) - [i8]Jingxin Li, Xiaolan Liu, Toktam Mahmoodi:
Opportunistic Transmission of Distributed Learning Models in Mobile UAVs. CoRR abs/2306.09484 (2023) - [i7]Rafael Pina, Corentin Artaud, Xiaolan Liu, Varuna De Silva:
Staged Reinforcement Learning for Complex Tasks through Decomposed Environments. CoRR abs/2311.02746 (2023) - 2022
- [j37]Mi Zhou, Xiaolan Liu, Naeem Saleem, Andreea Fulga, Nihal Yilmaz Özgür:
A New Study on the Fixed Point Sets of Proinov-Type Contractions via Rational Forms. Symmetry 14(1): 93 (2022) - [j36]Min Wang, Naeem Saleem, Xiaolan Liu, Arslan Hojat Ansari, Mi Zhou:
Fixed Point of (α, β)-Admissible Generalized Geraghty F-Contraction with Application. Symmetry 14(5): 1016 (2022) - [j35]Yan Sun, Xiaolan Liu:
Relation-Theoretic Coincidence and Common Fixed Point Results in Extended Rectangular b-Metric Spaces with Applications. Symmetry 14(8): 1588 (2022) - [j34]Xiaolan Liu, Mi Zhou, Arslan Hojat Ansari, Kalyan Chakrabarti, Mujahid Abbas, Laxmi Rathour:
Coupled Fixed Point Theorems with Rational Type Contractive Condition via C-Class Functions and Inverse Ck-Class Functions. Symmetry 14(8): 1663 (2022) - [j33]Mengying Xie, Xiaolan Liu, Xiaowei Yang:
Novel Hybrid Low-Rank Tensor Approximation for Hyperspectral Image Mixed Denoising Based on Global-Guided-Nonlocal Prior Mechanism. IEEE Trans. Geosci. Remote. Sens. 60: 1-17 (2022) - [j32]Jiadong Yu, Xiaolan Liu, Yue Gao, Xuemin Shen:
3D On and Off-Grid Dynamic Channel Tracking for Multiple UAVs and Satellite Communications. IEEE Trans. Wirel. Commun. 21(6): 3587-3604 (2022) - [j31]Jiadong Yu, Xiaolan Liu, Yue Gao, Chiya Zhang, Wei Zhang:
Deep Learning for Channel Tracking in IRS-Assisted UAV Communication Systems. IEEE Trans. Wirel. Commun. 21(9): 7711-7722 (2022) - [c22]Xiaolan Liu, Yansha Deng, Toktam Mahmoodi:
A Novel Hybrid Split and Federated Learning Architecture in Wireless UAV Networks. ICC 2022: 1-6 - [i6]Xiaolan Liu, Jiadong Yu, Yuanwei Liu, Yue Gao, Toktam Mahmoodi, Sangarapillai Lambotharan, Danny H. K. Tsang:
Distributed Intelligence in Wireless Networks. CoRR abs/2208.00545 (2022) - [i5]Jiadong Yu, Yang Li, Xiaolan Liu, Bo Sun, Yuan Wu, Danny H. K. Tsang:
IRS Assisted NOMA Aided Mobile Edge Computing with Queue Stability: Heterogeneous Multi-Agent Reinforcement Learning. CoRR abs/2209.09776 (2022) - 2021
- [j30]Mengying Xie, Zehui Ye, Gan Pan, Xiaolan Liu:
Incomplete multi-view subspace clustering with adaptive instance-sample mapping and deep feature fusion. Appl. Intell. 51(8): 5584-5597 (2021) - [j29]Xiaolan Liu, Gan Pan, Mengying Xie:
Multi-view subspace clustering with adaptive locally consistent graph regularization. Neural Comput. Appl. 33(22): 15397-15412 (2021) - [j28]Hailin Xiao, Xiaolan Liu, Qiuyu Zhang, Anthony Theodore Chronopoulos:
Connectivity probability analysis for freeway vehicle scenarios in vehicular networks. Wirel. Networks 27(1): 465-474 (2021) - [c21]Jiadong Yu, Xiaolan Liu, Yue Gao:
On-Grid 3D Dynamic Channel Tracking for Space-Air Communications with Multiple UAVs. ICCC 2021: 127-132 - 2020
- [j27]Xiaolan Liu, Bin Yang, Xiaohong Jiang, Lisheng Ma, Shikai Shen:
On social-aware data uploading study of D2D-enabled cellular networks. Comput. Networks 166 (2020) - [j26]Xiaolan Liu, Jiadong Yu, Jian Wang, Yue Gao:
Resource Allocation With Edge Computing in IoT Networks via Machine Learning. IEEE Internet Things J. 7(4): 3415-3426 (2020) - [j25]Mengying Xie, Xiaolan Liu, Gan Pan:
Centralized joint sparse representation for multi-view subspace clustering. J. Intell. Fuzzy Syst. 39(1): 1213-1226 (2020) - [j24]Jiadong Yu, Xiaolan Liu, Yue Gao, Xuemin Shen:
3D Channel Tracking for UAV-Satellite Communications in Space-Air-Ground Integrated Networks. IEEE J. Sel. Areas Commun. 38(12): 2810-2823 (2020) - [j23]Tong Zhang, Fengyuan Ren, Wenxue Cheng, Xiaohui Luo, Ran Shu, Xiaolan Liu:
Towards Influence of Chunk Size Variation on Video Streaming in Wireless Networks. IEEE Trans. Mob. Comput. 19(7): 1715-1730 (2020) - [j22]Sentao Chen, Le Han, Xiaolan Liu, Zongyao He, Xiaowei Yang:
Subspace Distribution Adaptation Frameworks for Domain Adaptation. IEEE Trans. Neural Networks Learn. Syst. 31(12): 5204-5218 (2020) - [j21]Zhi Mao, Fengye Hu, Dayang Sun, Shaodan Ma, Xiaolan Liu:
Fairness-Aware Intragroup Cooperative Transmission in Wireless Powered Communication Networks. IEEE Trans. Veh. Technol. 69(6): 6463-6472 (2020) - [j20]Xiaolan Liu, Hailin Xiao, Anthony Theodore Chronopoulos:
Joint Mode Selection and Power Control for Interference Management in D2D-Enabled Heterogeneous Cellular Networks. IEEE Trans. Veh. Technol. 69(9): 9707-9719 (2020) - [j19]Jiadong Yu, Xiaolan Liu, Haoran Qi, Yue Gao:
Long-Term Channel Statistic Estimation for Highly-Mobile Hybrid MmWave Multi-User MIMO Systems. IEEE Trans. Veh. Technol. 69(12): 14277-14289 (2020) - [j18]Xiaolan Liu, Jiadong Yu, Haoran Qi, Jianxin Yang, Wenge Rong, Xiuyin Zhang, Yue Gao:
Learning to Predict the Mobility of Users in Mobile mmWave Networks. IEEE Wirel. Commun. 27(1): 124-131 (2020) - [c20]Mingzeng Zhu, Xiaolan Liu, Hongyu Zhou, Kaibo Hu, Xinhua Huang, Hao Qiu:
An Improved Detection Method for Dressing Behavior of Substation Workers Based on SSD. ICITEE 2020: 597-600 - [i4]Xiaolan Liu, Jiadong Yu, Yue Gao:
Multi-agent Reinforcement Learning for Resource Allocation in IoT networks with Edge Computing. CoRR abs/2004.02315 (2020)
2010 – 2019
- 2019
- [j17]Xiaolan Liu, Lisheng Ma, Xiaohong Jiang:
A Generalized Data Uploading Scheme for D2D-Enhanced Cellular Networks. IEICE Trans. Commun. 102-B(9): 1914-1923 (2019) - [j16]Xiaolan Liu, Yue Gao, Fengye Hu:
Optimal Time Scheduling Scheme for Wireless Powered Ambient Backscatter Communications in IoT Networks. IEEE Internet Things J. 6(2): 2264-2272 (2019) - [j15]Xiaolan Liu, Zhijin Qin, Yue Gao, Julie A. McCann:
Resource Allocation in Wireless Powered IoT Networks. IEEE Internet Things J. 6(3): 4935-4945 (2019) - [j14]Zisen Fang, Xiaowei Yang, Le Han, Xiaolan Liu:
A Sequentially Truncated Higher Order Singular Value Decomposition-Based Algorithm for Tensor Completion. IEEE Trans. Cybern. 49(5): 1956-1967 (2019) - [j13]Xiaolan Liu, Bin Yang, Guilin Chen:
Full-view barrier coverage in mobile camera sensor networks. Wirel. Networks 25(8): 4773-4784 (2019) - [c19]Jiadong Yu, Xiaolan Liu, Haoran Qi, Wei Zhang, Yue Gao:
Spatial Channel Covariance Estimation for Hybrid mmWave Multi-User MIMO Systems. GLOBECOM 2019: 1-6 - [c18]Xiaolan Liu, Zhijin Qin, Yue Gao:
Resource Allocation for Edge Computing in IoT Networks via Reinforcement Learning. ICC 2019: 1-6 - [c17]Xiaolan Liu, Yue Gao:
Reinforcement Learning Approaches for IoT Networks with Energy Harvesting. ICCC 2019: 85-90 - [c16]Xiaolan Liu, Wu Wang, Bin Yang, Yuanyuan Fan:
Incentive Mechanism for Data Uploading in Mobile Crowdsensing. NaNA 2019: 391-395 - 2018
- [j12]Zhaoming Kong, Le Han, Xiaolan Liu, Xiaowei Yang:
A New 4-D Nonlocal Transform-Domain Filter for 3-D Magnetic Resonance Images Denoising. IEEE Trans. Medical Imaging 37(4): 941-954 (2018) - [j11]Xiaolan Liu, Danfeng Shan, Ran Shu, Tong Zhang:
MPTCP Tunnel: An Architecture for Aggregating Bandwidth of Heterogeneous Access Networks. Wirel. Commun. Mob. Comput. 2018 (2018) - [c15]Xiaolan Liu, Jiao Liu, Xiaolan Liu, Zhaoming Kong, Xiaowei Yang:
Incremental sparse linear regression algorithms for face recognition. ICACI 2018: 69-74 - [c14]Xiaolan Liu, Jiao Liu, Xiaolan Liu, Zhaoming Kong, Xiaowei Yang:
Incremental sparse linear regression algorithms for face recognition. ICACI 2018: 69-74 - [c13]Xiaolan Liu, Lisheng Ma, Xiaohong Jiang:
An Optimized Content Uploading Scheme for D2D Communications Underlaying Cellular Networks. NaNA 2018: 182-186 - [i3]Xiaolan Liu, Yue Gao, Fengye Hu:
Optimal Time Scheduling Scheme for Wireless Powered Ambient Backscatter Communication in IoT Network. CoRR abs/1810.05886 (2018) - [i2]Xiaolan Liu, Zhijin Qin, Yue Gao, Julie A. McCann:
Resource Allocation in in wireless powered IoT networks. CoRR abs/1810.05891 (2018) - 2017
- [j10]Zhuang Ling, Fengye Hu, Liheng Wang, Jingchao Yu, Xiaolan Liu:
Point-to-Point Wireless Information and Power Transfer in WBAN With Energy Harvesting. IEEE Access 5: 8620-8628 (2017) - [j9]Fengye Hu, Xiaolan Liu, Dan Sui, Meiqi Shao, Liheng Wang:
Performance analysis of reliability in wireless body area networks. IET Commun. 11(6): 925-929 (2017) - [j8]Xiaolan Liu, Miao Yi, Le Han, Xue Deng:
A subspace clustering algorithm based on simultaneously sparse and low-rank representation. J. Intell. Fuzzy Syst. 33(1): 621-633 (2017) - [j7]Fengye Hu, Xiaolan Liu, Meiqi Shao, Dan Sui, Liheng Wang:
Wireless Energy and Information Transfer in WBAN: An Overview. IEEE Netw. 31(3): 90-96 (2017) - [c12]Tong Zhang, Fengyuan Ren, Wenxue Cheng, Xiaohui Luo, Ran Shu, Xiaolan Liu:
Modeling and analyzing the influence of chunk size variation on bitrate adaptation in DASH. INFOCOM 2017: 1-9 - [c11]Mao Miao, Xiaohui Luo, Fengyuan Ren, Wenxue Cheng, Jing Xie, Wenzhuo Li, Xiaolan Liu:
Renovate high performance user-level stacks' innovation utilizing commodity network adaptors. ISCC 2017: 906-911 - [c10]Xiaolan Liu, Bin Yang, Xiaohong Jiang:
Trust-Aware Data Uploading Based on Device-to-Device Communications. NaNA 2017: 309-313 - 2016
- [j6]Xiaolan Liu, Fengye Hu, Wei Xiong, Yu Du, Ling Cen:
Sparse array synthesis for WBAN with minimised side lobe via convex optimisation. IET Commun. 10(17): 2452-2460 (2016) - [j5]Yu Du, Fengye Hu, Xiaolan Liu, Ling Cen, Wei Xiong:
Planar Sparse Array Synthesis for Sensor Selection by Convex Optimization with Constrained Beam Pattern. Wirel. Pers. Commun. 89(4): 1147-1163 (2016) - [c9]Xiaolan Liu, Bin Yang, Shenghui Zhao, Yuanyuan Fan:
Achieving Full-View Barrier Coverage with Mobile Camera Sensors. NaNA 2016: 73-76 - [c8]Pinchang Zhang, Yuanyu Zhang, Bin Yang, Xiaolan Liu:
Optimal Relay-Destination Pair Selection Mechanism for Secure Communications in Wireless Cooperative Relay Networks. NaNA 2016: 84-89 - [c7]Yu Du, Fengye Hu, Wei Xiong, Xiaolan Liu:
Beam-Pattern Synthesis for Circular Arrays with Sensor Selection for WBAN via Convex Optimization. VTC Spring 2016: 1-6 - 2015
- [j4]Xiaolan Liu, Tengjiao Guo, Lifang He, Xiaowei Yang:
A Low-Rank Approximation-Based Transductive Support Tensor Machine for Semisupervised Classification. IEEE Trans. Image Process. 24(6): 1825-1838 (2015) - [c6]Xiaolan Liu, Fengye Hu, Wei Xiong, Yu Du, Gang Guo:
Cuboid sparse array synthesis for sensor selection by convex optimization with constrained beam pattern based on WBAN. WCSP 2015: 1-5 - [i1]Xiaolan Liu, Bin Yang, Gui-Lin Chen:
Barrier Coverage in Mobile Camera Sensor Networks with Grid-Based Deployment. CoRR abs/1503.05352 (2015) - 2014
- [j3]Xiaolan Liu, Shaohua Pan, Zhifeng Hao, Zhiyong Lin:
Graph-based semi-supervised learning by mixed label propagation with a soft constraint. Inf. Sci. 277: 327-337 (2014) - [j2]Shujun Bi, Xiaolan Liu, Shaohua Pan:
Exact Penalty Decomposition Method for Zero-Norm Minimization Based on MPEC Formulation. SIAM J. Sci. Comput. 36(4) (2014) - [c5]Feng Wang, Fengye Hu, Lu Wang, Yu Du, Xiaolan Liu:
Posture-aware medium access approach under walking scenery for wireless body area network. ICCS 2014: 457-461 - 2012
- [c4]Guangchao Wu, Yuhan Li, Jianqing Xi, Xiaowei Yang, Xiaolan Liu:
Local learning integrating global structure for large scale semi-supervised classification. ICNC 2012: 1044-1049 - 2011
- [j1]Xiaolan Liu, Shenghan Liu, Zhifeng Hao, Holger Mauch:
Exact algorithm and heuristic for the Closest String Problem. Comput. Oper. Res. 38(11): 1513-1520 (2011) - [c3]Xingzheng Zhao, Zhe Zhang, Xiaolan Liu, Wei Wang, Wenjie Wang:
Impact of excessive drought on regional sensitivity of Eupatorium adenophorum invasion in Yunnan province. ICSDM 2011: 570-573
2000 – 2009
- 2009
- [c2]Zhiyong Lin, Zhifeng Hao, Xiaowei Yang, Xiaolan Liu:
Several SVM Ensemble Methods Integrated with Under-Sampling for Imbalanced Data Learning. ADMA 2009: 536-544 - 2006
- [c1]Wei Cheng, Xiaolan Liu, Yueming Chen:
The Research on Optimal Green Time For Intersection Groups. ISDA (3) 2006: 220-224
Coauthor Index
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last updated on 2024-11-11 21:26 CET by the dblp team
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