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Mengting Liu
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2020 – today
- 2024
- [j32]Dan Zhang, Mengting Liu, Fangsheng Chen, Qinkang Lu, Yitian Zhao:
Graph-based multi-level feature fusion network for diabetic retinopathy grading using ultra-wide-field images. Biomed. Signal Process. Control. 93: 106134 (2024) - [j31]Mengting Liu, Ying Zhou, Yuwei Wu, Feng Gao:
Cogeneration of Innovative Audio-visual Content: A New Challenge for Computing Art. Mach. Intell. Res. 21(1): 4-28 (2024) - [j30]Jiaying Lin, Zhuoshuo Li, Youbing Zeng, Xiaobo Liu, Liang Li, Neda Jahanshad, Xinting Ge, Dan Zhang, Minhua Lu, Mengting Liu:
Harmonizing three-dimensional MRI using pseudo-warping field guided GAN. NeuroImage 295: 120635 (2024) - [j29]Hongzhuang Li, Mengting Liu, Jianfeng Zhang, Shujuan Liu, Zhicong Fang, Minmin Pan, Xiaodan Sui, Wei Rang, Hang Xiao, Yanyun Jiang, Yuanjie Zheng, Xinting Ge:
The effect of preterm birth on thalamic development based on shape and structural covariance analysis. NeuroImage 297: 120708 (2024) - [j28]Youbing Zeng, Jiaying Lin, Zhuoshuo Li, Zehui Xiao, Chen Wang, Xinting Ge, Cheng Wang, Gui Huang, Mengting Liu:
Adaptive node feature extraction in graph-based neural networks for brain diseases diagnosis using self-supervised learning. NeuroImage 297: 120750 (2024) - [j27]Zhicong Fang, Ningning Pan, Shujuan Liu, Hongzhuang Li, Minmin Pan, Jiong Zhang, Zhuoshuo Li, Mengting Liu, Xinting Ge:
Comparative analysis of brain age prediction using structural and diffusion MRIs in neonates. NeuroImage 299: 120815 (2024) - [j26]Binge Cui, Mengting Liu, Ruipeng Chen, Haoqing Zhang, Xiaojun Zhang:
Anisotropic Green Tide Patch Information Extraction Based on Deformable Convolution. Remote. Sens. 16(7): 1162 (2024) - [j25]Yongli Hu, Lincong Feng, Huajie Jiang, Mengting Liu, Baocai Yin:
Domain-Aware Prototype Network for Generalized Zero-Shot Learning. IEEE Trans. Circuits Syst. Video Technol. 34(5): 3180-3191 (2024) - [c25]Yutong Liu, Haijiang Zhu, Mengting Liu, Huaiyuan Yu, Zihan Chen, Jie Gao:
Rolling-Unet: Revitalizing MLP's Ability to Efficiently Extract Long-Distance Dependencies for Medical Image Segmentation. AAAI 2024: 3819-3827 - [c24]Mengting Liu, Ying Ye:
Reshaping China's Ecological Image: A Corpus-based Study of Discourse Construction of China's "Dual Carbon Goals". DSAI 2024: 290-296 - [c23]Jiacheng Hao, Junhai Xu, Mengting Liu, Jianguo Wei:
SSR-GPCsT: Deep Learning Models Based on Functional Connectivity Maps in Autism Research. ICASSP 2024: 1596-1600 - [c22]Yandong Bi, Huajie Jiang, Jing Liu, Mengting Liu, Yongli Hu, Baocai Yin:
VQA-PDF: Purifying Debiased Features for Robust Visual Question Answering Task. ICIC (12) 2024: 264-277 - 2023
- [j24]Fangsheng Chen, Shaodong Ma, Jinkui Hao, Mengting Liu, Yuanyuan Gu, Quanyong Yi, Jiong Zhang, Yitian Zhao:
Dual-Path and Multi-Scale Enhanced Attention Network for Retinal Diseases Classification Using Ultra-Wide-Field Images. IEEE Access 11: 45405-45415 (2023) - [j23]Mengting Liu, Xiaojie Li, Jie Liu, Weifan Liu, Zekuan Yu:
TUCNet: A channel and spatial attention-based graph convolutional network for teeth upsampling and completion. Comput. Biol. Medicine 166: 107519 (2023) - [j22]Die Meng, Beibei Ma, Mengting Liu, Shiying Li:
Online learning effectiveness evaluation for college students based on social network data mining. Int. J. Comput. Appl. Technol. 73(4): 323-332 (2023) - [j21]Mengting Liu, Xinrui Li, Yongge Liu, Yahong Han:
Weakly supervised anomaly detection with multi-level contextual modeling. Multim. Syst. 29(4): 2153-2164 (2023) - [j20]Jianjia Zhang, Zhenxi Zhang, Lei Wang, Luping Zhou, Xiaocai Zhang, Mengting Liu, Weiwen Wu:
Kernel-based feature aggregation framework in point cloud networks. Pattern Recognit. 139: 109439 (2023) - [c21]Mengting Liu:
Application of Image Sharing and Encryption Based on Visual Cryptography in Networking Systems of AI. ICCSIE 2023: 314-318 - [c20]Tao Chen, Yitian Zhao, Lei Mou, Dan Zhang, Xiayu Xu, Mengting Liu, Huazhu Fu, Jiong Zhang:
RBGNet: Reliable Boundary-Guided Segmentation of Choroidal Neovascularization. MICCAI (4) 2023: 163-172 - [c19]Xiang Tang, Xiaocai Zhang, Mengting Liu, Jianjia Zhang:
Learning Asynchronous Common and Individual Functional Brain Network for AD Diagnosis. MICCAI (8) 2023: 215-225 - [c18]Mengting Liu, Xin Gao, Jianghua Liu:
Low Complexity and High Accuracy Positioning for IIoT Applications. SPAWC 2023: 511-515 - [i1]Jingyun Huang, Mengting Liu, Chad E. Forbes:
Functional Graph Contrastive Learning of Hyperscanning EEG Reveals Emotional Contagion Evoked by Stereotype-Based Stressors. CoRR abs/2308.13546 (2023) - 2022
- [j19]Jianjia Zhang, Luping Zhou, Lei Wang, Mengting Liu, Dinggang Shen:
Diffusion Kernel Attention Network for Brain Disorder Classification. IEEE Trans. Medical Imaging 41(10): 2814-2827 (2022) - [c17]Jianfeng Li, Mengting Liu, Shunshun Shang, Xin Gao, Jianghua Liu:
Carrier Phase Positioning Using 5G NR Signals Based on OFDM System. VTC Fall 2022: 1-5 - 2021
- [j18]Qi Dai, Xinyi Liu, Xiaolei Lin, Yana Fu, Chaoqiao Chen, Xinxin Yu, Zuhui Zhang, Tiankun Li, Mengting Liu, Weihua Yang, Juan Ye:
A Novel Meibomian Gland Morphology Analytic System Based on a Convolutional Neural Network. IEEE Access 9: 23083-23094 (2021) - [j17]Jing Xiong, Guoying Liu, Yongge Liu, Mengting Liu:
Oracle Bone Inscriptions information processing based on multi-modal knowledge graph. Comput. Electr. Eng. 92: 107173 (2021) - [j16]Mengting Liu, Robert A. Backer, Rachel C. Amey, Chad E. Forbes:
How the brain negotiates divergent executive processing demands: Evidence of network reorganization in fleeting brain states. NeuroImage 245: 118653 (2021) - [j15]Yinglei Teng, Yuanyuan Cao, Mengting Liu, Fei Richard Yu, Victor C. M. Leung:
Efficient Blockchain-Enabled Large Scale Parked Vehicular Computing With Green Energy Supply. IEEE Trans. Veh. Technol. 70(9): 9423-9436 (2021) - [c16]Mengting Liu, Feng Gao, Bang Li, Guoying Liu:
Application of Neural Network in Oracle Bone Inscriptions. WISA 2021: 480-488 - [c15]Yaqiong Chai, Mengting Liu, Ben A. Duffy, Hosung Kim:
Learning to Synthesize Cortical Morphological Changes using Graph Conditional Variational Autoencoder. ISBI 2021: 1495-1499 - [c14]Mengting Liu, Piyush Maiti, Sophia I. Thomopoulos, Alyssa H. Zhu, Yaqiong Chai, Hosung Kim, Neda Jahanshad:
Style Transfer Using Generative Adversarial Networks for Multi-site MRI Harmonization. MICCAI (3) 2021: 313-322 - 2020
- [j14]Mengting Liu, Yinglei Teng, F. Richard Yu, Victor C. M. Leung, Mei Song:
A Deep Reinforcement Learning-Based Transcoder Selection Framework for Blockchain-Enabled Wireless D2D Transcoding. IEEE Trans. Commun. 68(6): 3426-3439 (2020) - [j13]Fengxian Guo, F. Richard Yu, Heli Zhang, Hong Ji, Mengting Liu, Victor C. M. Leung:
Adaptive Resource Allocation in Future Wireless Networks With Blockchain and Mobile Edge Computing. IEEE Trans. Wirel. Commun. 19(3): 1689-1703 (2020) - [j12]Mengting Liu, Yinglei Teng, F. Richard Yu, Victor C. M. Leung, Mei Song:
A Mobile Edge Computing (MEC)-Enabled Transcoding Framework for Blockchain-Based Video Streaming. IEEE Wirel. Commun. 27(2): 81-87 (2020) - [c13]Mengting Liu, Ben A. Duffy, Zhe Sun, Arthur W. Toga, A. James Barkovich, Duan Xu, Hosung Kim:
Deep Learning of Cortical Surface Features Using Graph-Convolution Predicts Neonatal Brain Age and Neurodevelopmental Outcome. ISBI 2020: 1335-1338
2010 – 2019
- 2019
- [j11]Yinglei Teng, Mengting Liu, F. Richard Yu, Victor C. M. Leung, Mei Song, Yong Zhang:
Resource Allocation for Ultra-Dense Networks: A Survey, Some Research Issues and Challenges. IEEE Commun. Surv. Tutorials 21(3): 2134-2168 (2019) - [j10]Mengting Liu, F. Richard Yu, Yinglei Teng, Victor C. M. Leung, Mei Song:
Performance Optimization for Blockchain-Enabled Industrial Internet of Things (IIoT) Systems: A Deep Reinforcement Learning Approach. IEEE Trans. Ind. Informatics 15(6): 3559-3570 (2019) - [j9]Mengting Liu, F. Richard Yu, Yinglei Teng, Victor C. M. Leung, Mei Song:
Distributed Resource Allocation in Blockchain-Based Video Streaming Systems With Mobile Edge Computing. IEEE Trans. Wirel. Commun. 18(1): 695-708 (2019) - [j8]Mengting Liu, Yinglei Teng, Mei Song:
Mobility analysis of CoMP-based ultra-dense networks with stochastic geometry methods. Wirel. Networks 25(3): 917-932 (2019) - [c12]Mengting Liu, Yinglei Teng, F. Richard Yu, Victor C. M. Leung, Mei Song:
Deep Reinforcement Learning Based Performance Optimization in Blockchain-Enabled Internet of Vehicle. ICC 2019: 1-6 - [c11]Mengting Liu, Claude Lepage, Seun Jeon, Trevor Flynn, Shiyu Yuan, Justin Kim, Arthur W. Toga, A. James Barkovich, Duan Xu, Alan C. Evans, Hosung Kim:
A Skeleton and Deformation Based Model for Neonatal Pial Surface Reconstruction in Preterm Newborns. ISBI 2019: 352-355 - [c10]Wei Liu, Yinglei Teng, Mengting Liu, Mei Song:
Joint Offloading and Computation Resource Allocation in D2D Assisted Hybrid Framework. PIMRC 2019: 1-6 - 2018
- [j7]Mengting Liu, F. Richard Yu, Yinglei Teng, Victor C. M. Leung, Mei Song:
Computation Offloading and Content Caching in Wireless Blockchain Networks With Mobile Edge Computing. IEEE Trans. Veh. Technol. 67(11): 11008-11021 (2018) - [c9]Mengting Liu, F. Richard Yu, Yinglei Teng, Victor C. M. Leung, Mei Song:
Deep Reinforcement Learning (DRL)-Based Transcoder Selection for Blockchain-Enabled Video Streaming. GLOBECOM Workshops 2018: 1-6 - [c8]Mengting Liu, Yinglei Teng, Ning An, Mei Song, Linkun Wang:
Stochastic Geometry Based Hierarchical Power Allocation for the Uplink Ultra-Dense Networks. ICCAIS 2018: 205-209 - [c7]Mengting Liu, F. Richard Yu, Yinglei Teng, Victor C. M. Leung, Mei Song:
Joint computation offloading and content caching for wireless blockchain networks. INFOCOM Workshops 2018: 517-522 - 2017
- [j6]Yinglei Teng, Mengting Liu, Mei Song:
Effect of Outdated CSI on Handover Decisions in Dense Networks. IEEE Commun. Lett. 21(10): 2238-2241 (2017) - [j5]Mengting Liu, Rachel C. Amey, Chad E. Forbes:
On the Role of Situational Stressors in the Disruption of Global Neural Network Stability during Problem Solving. J. Cogn. Neurosci. 29(12) (2017) - [c6]Yinglei Teng, Qi Zhang, Mengting Liu, Mei Song:
Successful transmission probability analysis for cache-enabled users in mobile networks. ICC Workshops 2017: 1382-1387 - [c5]Mengting Liu, Yinglei Teng, Meng Song:
Effects of outdated CSI on the coverage of CoMP-based ultra-dense networks. SPAWC 2017: 1-5 - [c4]Mengting Liu, Yinglei Teng, Mei Song:
CoMP Handover Probability Analysis with Different Handover Schemes in Ultra-Dense Networks. WCNC 2017: 1-6 - 2016
- [j4]Mengting Liu, Yinglei Teng, Mei Song:
Performance Analysis of CoMP in Ultra-Dense Networks with Limited Backhaul Capacity. Wirel. Pers. Commun. 91(1): 51-77 (2016) - [c3]Yinglei Teng, Mengting Liu, Mei Song:
Capacity Analysis in the Cognitive Heterogeneous Cellular Networks with Stochastic Methods. ChinaCom (2) 2016: 258-267 - [c2]Danni Xi, Mengting Liu, Yinglei Teng, Mei Song:
Radial Velocity Based CoMP Handover Algorithm in LTE-A System. ChinaCom (2) 2016: 401-410 - 2015
- [j3]Mengting Liu, Yinglei Teng, Mei Song:
Tradeoff Analysis between Spectrum Efficiency and Energy Efficiency in Heterogeneous Networks (HetNets) Using Bias Factor. J. Commun. 10(10): 784-790 (2015) - [j2]Tao Huang, Yinglei Teng, Mengting Liu, Jiang Liu:
Capacity analysis for cognitive heterogeneous networks with ideal/non-ideal sensing. Frontiers Inf. Technol. Electron. Eng. 16(1): 1-11 (2015) - 2014
- [c1]Mingqiang Wang, Mengting Liu, Shi Feng, Daling Wang, Yifei Zhang:
A Novel Calibrated Label Ranking Based Method for Multiple Emotions Detection in Chinese Microblogs. NLPCC 2014: 238-250 - 2010
- [j1]Xiaoping Zheng, Mengting Liu:
Forecasting model for pedestrian distribution under emergency evacuation. Reliab. Eng. Syst. Saf. 95(11): 1186-1192 (2010)
Coauthor Index
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last updated on 2024-10-07 21:18 CEST by the dblp team
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