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Xinyue Liang
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
- [j12]Chenglong Wang
, Jie Nie
, Weizhi Nie
, Peizhe Yin, Di Niu, Xinyue Liang
, Shusong Yu:
Cross-domain correlation representation for new fault categories discovery in rolling bearings. Inf. Process. Manag. 61(2): 103659 (2024) - [j11]Chengyu Zheng
, Yanru Jiang
, Xiaowei Lv
, Jie Nie, Xinyue Liang, Zhiqiang Wei
:
SSDT: Scale-Separation Semantic Decoupled Transformer for Semantic Segmentation of Remote Sensing Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 9037-9052 (2024) - [j10]Jie Nie
, Jingyu J. Wang
, Niantai Jing
, Zijie Zuo, Shuguo Chen
, Xinyue Liang
:
Bidirectional Layout-Semantic-Pixel Joint Decoupling and Embedding Network for Remote Sensing Colorization. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024) - 2023
- [j9]Yan Sun, Yujie Chen, Xuesheng Li, Yi Liao, Xijian Chen, Yu Song, Xinyue Liang, Yongming Dai, Dapeng Chen, Gang Ning:
Three-dimensional ultrashort echo time magnetic resonance imaging in pediatric patients with pneumonia: a comparative study. BMC Medical Imaging 23(1): 175 (2023) - [j8]Xinyue Liang, Nengmin Wang
, Meng Zhang, Bin Jiang:
Bi-objective multi-period vehicle routing for perishable goods delivery considering customer satisfaction. Expert Syst. Appl. 220: 119712 (2023) - [j7]Xin Ni
, Jie Nie
, Zijie Zuo, Huaxin Xie, Xinyue Liang
, Mingxing Jiang, Jianliang Xu, Shusong Yu, Min Liu:
DITN: User's indirect side-information involved domain-invariant feature transfer network for cross-domain recommendation. Inf. Process. Manag. 60(6): 103494 (2023) - [j6]Jie Nie
, Zhaoxin Wang
, Xinyue Liang
, Chenxue Yang, Chengyu Zheng, Zhiqiang Wei
:
Semantic Category Balance-Aware Involved Anti-Interference Network for Remote Sensing Semantic Segmentation. IEEE Trans. Geosci. Remote. Sens. 61: 1-12 (2023) - [j5]Peizhe Yin
, Jie Nie
, Xinyue Liang
, Shusong Yu
, Chenglong Wang
, Weizhi Nie
, Xiangqian Ding
:
A Multiscale Graph Convolutional Neural Network Framework for Fault Diagnosis of Rolling Bearing. IEEE Trans. Instrum. Meas. 72: 1-13 (2023) - [c14]Qichen Wei, Zijie Zuo, Jie Nie, Jiahao Du, Yaning Diao, Min Ye, Xinyue Liang:
Inpainting of Remote Sensing Sea Surface Temperature image with Multi-scale Physical Constraints. ICME 2023: 492-497 - [c13]Yanqi Bao
, Yuxin Li
, Jing Huo
, Tianyu Ding
, Xinyue Liang
, Wenbin Li
, Yang Gao
:
Where and How: Mitigating Confusion in Neural Radiance Fields from Sparse Inputs. ACM Multimedia 2023: 2180-2188 - [c12]Xiu Li
, Chengyu Zheng
, Jie Nie
, Ruoyu Zhang
, Xinyue Liang
, Zhiqiang Wei
:
Relevance and Irrelevance Considered Subspace Mapping Neural Networks for Remote Sensing Text-Image Retrieval. MMAsia 2023: 21:1-21:7 - [i6]Yanqi Bao, Yuxin Li, Jing Huo, Tianyu Ding, Xinyue Liang, Wenbin Li, Yang Gao:
Where and How: Mitigating Confusion in Neural Radiance Fields from Sparse Inputs. CoRR abs/2308.02908 (2023) - [i5]Minda Zhao, Chaoyi Zhao, Xinyue Liang, Lincheng Li, Zeng Zhao, Zhipeng Hu, Changjie Fan, Xin Yu:
EfficientDreamer: High-Fidelity and Robust 3D Creation via Orthogonal-view Diffusion Prior. CoRR abs/2308.13223 (2023) - 2022
- [j4]Xinyue Liang
, Feng Zhao
:
Single-Image Rain Removal Network Based on an Attention Mechanism and a Residual Structure. IEEE Access 10: 52472-52480 (2022) - [j3]Xinyue Liang, Alireza M. Javid, Mikael Skoglund
, Saikat Chatterjee:
Decentralized learning of randomization-based neural networks with centralized equivalence. Appl. Soft Comput. 115: 108030 (2022) - [j2]Yanjie Zhao, Chengdong Peng, Shaofang Wang, Xinyue Liang, Xiaoyan Meng:
The feasibility investigation of AI -assisted compressed sensing in kidney MR imaging: an ultra-fast T2WI imaging technology. BMC Medical Imaging 22(1): 119 (2022) - [j1]Xinyue Liang, Mengyao Chen, Weijun Zhu, Yiran Wang, Zhen Luo, Mengmeng Xu, Jian Wang:
TCP/IP Model for Metaverse Networks and Some Potential Applications. J. Softw. 17(4): 158-167 (2022) - [c11]Pol Grau Jurado, Xinyue Liang, Saikat Chatterjee:
Deterministic Transform Based Weight Matrices for Neural Networks. ICASSP 2022: 4528-4532 - [c10]Xinyue Liang, Jun Ma:
A Study on Screen Logging Risks of Secure Keyboards of Android Financial Apps. SANER 2022: 101-111 - 2021
- [b1]Xinyue Liang:
Decentralized Learning of Randomization-based Neural Networks. Royal Institute of Technology, Stockholm, Sweden, 2021 - [c9]Pol Grau Jurado, Xinyue Liang, Alireza M. Javid, Saikat Chatterjee:
Use of Deterministic Transforms to Design Weight Matrices of a Neural Network. EUSIPCO 2021: 1366-1370 - [c8]Xinyue Liang, Mikael Skoglund, Saikat Chatterjee:
Feature Reuse for a Randomization Based Neural Network. ICASSP 2021: 2805-2809 - [c7]Xinyue Liang, Alireza M. Javid, Mikael Skoglund, Saikat Chatterjee:
Asynchronous Decentralized Learning of Randomization-Based Neural Networks. IJCNN 2021: 1-8 - [i4]Pol Grau Jurado, Xinyue Liang, Alireza M. Javid, Saikat Chatterjee:
Use of Deterministic Transforms to Design Weight Matrices of a Neural Network. CoRR abs/2110.03515 (2021) - 2020
- [c6]Alireza M. Javid, Xinyue Liang, Mikael Skoglund, Saikat Chatterjee:
Adaptive Learning without Forgetting via Low-Complexity Convex Networks. EUSIPCO 2020: 1623-1627 - [c5]Xinyue Liang, Alireza M. Javid, Mikael Skoglund, Saikat Chatterjee:
Learning without Forgetting for Decentralized Neural Nets with Low Communication Overhead. EUSIPCO 2020: 2185-2189 - [c4]Xinyue Liang, Alireza M. Javid, Mikael Skoglund, Saikat Chatterjee:
Asynchrounous Decentralized Learning of a Neural Network. ICASSP 2020: 3947-3951 - [c3]Xinyue Liang, Qinneng Xu, Ruoxi Guan, Yang Zhao:
Forecasting Tuberculosis Incidence in China using Baidu Index: A Comparative Study. ICMHI 2020: 22-29 - [c2]Xinyue Liang, Alireza M. Javid, Mikael Skoglund, Saikat Chatterjee:
A Low Complexity Decentralized Neural Net with Centralized Equivalence using Layer-wise Learning. IJCNN 2020: 1-8 - [i3]Xinyue Liang, Alireza M. Javid, Mikael Skoglund, Saikat Chatterjee:
Asynchronous Decentralized Learning of a Neural Network. CoRR abs/2004.05082 (2020) - [i2]Alireza M. Javid, Xinyue Liang, Arun Venkitaraman, Saikat Chatterjee:
Predictive Analysis of COVID-19 Time-series Data from Johns Hopkins University. CoRR abs/2005.05060 (2020) - [i1]Xinyue Liang, Alireza M. Javid, Mikael Skoglund, Saikat Chatterjee:
A Low Complexity Decentralized Neural Net with Centralized Equivalence using Layer-wise Learning. CoRR abs/2009.13982 (2020)
2010 – 2019
- 2018
- [c1]Xinyue Liang, Alireza M. Javid, Mikael Skoglund, Saikat Chatterjee:
Distributed Large Neural Network with Centralized Equivalence. ICASSP 2018: 2976-2980
Coauthor Index
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last updated on 2024-08-05 20:26 CEST by the dblp team
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