Xinyue Liang

According to our database, Xinyue Liang authored at least 39 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Bi-Objective Vehicle Routing for Perishable Products Delivery With Consideration of Customers' Priorities and Customized Delivery Time Windows.

Xinyue Liang, Haoxun Chen, Nengmin Wang, Meng Zhang

IEEE Trans. Intell. Transp. Syst., November, 2024

Cross-domain correlation representation for new fault categories discovery in rolling bearings.

Chenglong Wang, Jie Nie, Weizhi Nie, Peizhe Yin, Di Niu, Xinyue Liang, Shusong Yu

Inf. Process. Manag., March, 2024

A Spatial-Frequency Fusion Strategy Based on Linguistic Query Refinement for RSVG.

Enyuan Zhao, Ziyi Wan, Ze Zhang, Jie Nie, Xinyue Liang, Lei Huang

IEEE Trans. Geosci. Remote. Sens., 2024

Bidirectional Layout-Semantic-Pixel Joint Decoupling and Embedding Network for Remote Sensing Colorization.

Jie Nie, Jingyu J. Wang, Niantai Jing, Zijie Zuo, Shuguo Chen, Xinyue Liang

IEEE Trans. Geosci. Remote. Sens., 2024

SSDT: Scale-Separation Semantic Decoupled Transformer for Semantic Segmentation of Remote Sensing Images.

Chengyu Zheng, Yanru Jiang, Xiaowei Lv, Jie Nie, Xinyue Liang, Zhiqiang Wei

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

Copy-Move Forgery Detection and Question Answering for Remote Sensing Image.

Ze Zhang, Enyuan Zhao, Ziyi Wan, Jie Nie, Xinyue Liang, Lei Huang

CoRR, 2024

PSPO*: An Effective Process-supervised Policy Optimization for Reasoning Alignment.

Jiawei Li, Xinyue Liang, Yizhe Yang, Chong Feng, Yang Gao

CoRR, 2024

Bit_numeval at SemEval-2024 Task 7: Enhance Numerical Sensitivity and Reasoning Completeness for Quantitative Understanding.

Xinyue Liang, Jiawei Li, Yizhe Yang, Yang Gao

Proceedings of the 18th International Workshop on Semantic Evaluation, 2024

Context Constraints-Guided Reconstruction Robust Network for Cloud-Induced Extensive Missing Area in Sea Surface Temperature.

Zijie Zuo, Jie Nie, Xin Wang, Xinyue Liang, Bo Yin

Proceedings of the IGARSS 2024, 2024

Deep Neural Network-Based Earth System Forecasting Model Employing Non-Independent and Non-Identically Distributed Samples.

Jie Nie, Zijie Zuo, Xinyue Liang, Ning Song, Min Ye, Qi Wen

Proceedings of the IGARSS 2024, 2024

A k-shot Sampling Based Decentralized Learning Framework for Spatiotemporal Correlated Ocean Data with Asynchronous Communication.

Xinyue Liang, Nuoqing Zhang, Zijie Zuo, Jie Nie

Proceedings of the IGARSS 2024, 2024

EfficientDreamer: High-Fidelity and Stable 3D Creation via Orthogonal-view Diffusion Priors.

Zhipeng Hu, Minda Zhao, Chaoyi Zhao, Xinyue Liang, Lincheng Li, Zeng Zhao, Changjie Fan, Xiaowei Zhou, Xin Yu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Three-dimensional ultrashort echo time magnetic resonance imaging in pediatric patients with pneumonia: a comparative study.

Yan Sun, Yujie Chen, Xuesheng Li, Yi Liao, Xijian Chen, Yu Song, Xinyue Liang, Yongming Dai, Dapeng Chen, Gang Ning

BMC Medical Imaging, December, 2023

DITN: User's indirect side-information involved domain-invariant feature transfer network for cross-domain recommendation.

Xin Ni, Jie Nie, Zijie Zuo, Huaxin Xie, Xinyue Liang, Mingxing Jiang, Jianliang Xu, Shusong Yu, Min Liu

Inf. Process. Manag., November, 2023

Bi-objective multi-period vehicle routing for perishable goods delivery considering customer satisfaction.

Xinyue Liang, Nengmin Wang, Meng Zhang, Bin Jiang

Expert Syst. Appl., June, 2023

A Multiscale Graph Convolutional Neural Network Framework for Fault Diagnosis of Rolling Bearing.

Peizhe Yin, Jie Nie, Xinyue Liang, Shusong Yu, Chenglong Wang, Weizhi Nie, Xiangqian Ding

IEEE Trans. Instrum. Meas., 2023

Semantic Category Balance-Aware Involved Anti-Interference Network for Remote Sensing Semantic Segmentation.

Jie Nie, Zhaoxin Wang, Xinyue Liang, Chenxue Yang, Chengyu Zheng, Zhiqiang Wei

IEEE Trans. Geosci. Remote. Sens., 2023

EfficientDreamer: High-Fidelity and Robust 3D Creation via Orthogonal-view Diffusion Prior.

Minda Zhao, Chaoyi Zhao, Xinyue Liang, Lincheng Li, Zeng Zhao, Zhipeng Hu, Changjie Fan, Xin Yu

CoRR, 2023

Relevance and Irrelevance Considered Subspace Mapping Neural Networks for Remote Sensing Text-Image Retrieval.

Xiu Li, Chengyu Zheng, Jie Nie, Ruoyu Zhang, Xinyue Liang, Zhiqiang Wei

Proceedings of the ACM Multimedia Asia 2023, 2023

Where and How: Mitigating Confusion in Neural Radiance Fields from Sparse Inputs.

Yanqi Bao, Yuxin Li, Jing Huo, Tianyu Ding, Xinyue Liang, Wenbin Li, Yang Gao

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Inpainting of Remote Sensing Sea Surface Temperature image with Multi-scale Physical Constraints.

Qichen Wei, Zijie Zuo, Jie Nie, Jiahao Du, Yaning Diao, Min Ye, Xinyue Liang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

2022

TCP/IP Model for Metaverse Networks and Some Potential Applications.

Xinyue Liang, Mengyao Chen, Weijun Zhu, Yiran Wang, Zhen Luo, Mengmeng Xu, Jian Wang

J. Softw., 2022

The feasibility investigation of AI -assisted compressed sensing in kidney MR imaging: an ultra-fast T2WI imaging technology.

Yanjie Zhao, Chengdong Peng, Shaofang Wang, Xinyue Liang, Xiaoyan Meng

BMC Medical Imaging, 2022

Decentralized learning of randomization-based neural networks with centralized equivalence.

Xinyue Liang, Alireza M. Javid, Mikael Skoglund, Saikat Chatterjee

Appl. Soft Comput., 2022

Single-Image Rain Removal Network Based on an Attention Mechanism and a Residual Structure.

Xinyue Liang, Feng Zhao

IEEE Access, 2022

A Study on Screen Logging Risks of Secure Keyboards of Android Financial Apps.

Xinyue Liang, Jun Ma

Proceedings of the IEEE International Conference on Software Analysis, 2022

Deterministic Transform Based Weight Matrices for Neural Networks.

Pol Grau Jurado, Xinyue Liang, Saikat Chatterjee

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Decentralized Learning of Randomization-based Neural Networks.

Xinyue Liang

PhD thesis, 2021

Asynchronous Decentralized Learning of Randomization-Based Neural Networks.

Xinyue Liang, Alireza M. Javid, Mikael Skoglund, Saikat Chatterjee

Proceedings of the International Joint Conference on Neural Networks, 2021

Feature Reuse for a Randomization Based Neural Network.

Xinyue Liang, Mikael Skoglund, Saikat Chatterjee

Proceedings of the IEEE International Conference on Acoustics, 2021

Use of Deterministic Transforms to Design Weight Matrices of a Neural Network.

Pol Grau Jurado, Xinyue Liang, Alireza M. Javid, Saikat Chatterjee

Proceedings of the 29th European Signal Processing Conference, 2021

2020

Predictive Analysis of COVID-19 Time-series Data from Johns Hopkins University.

Alireza M. Javid, Xinyue Liang, Arun Venkitaraman, Saikat Chatterjee

CoRR, 2020

Asynchronous Decentralized Learning of a Neural Network.

Xinyue Liang, Alireza M. Javid, Mikael Skoglund, Saikat Chatterjee

CoRR, 2020

A Low Complexity Decentralized Neural Net with Centralized Equivalence using Layer-wise Learning.

Xinyue Liang, Alireza M. Javid, Mikael Skoglund, Saikat Chatterjee

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Forecasting Tuberculosis Incidence in China using Baidu Index: A Comparative Study.

Xinyue Liang, Qinneng Xu, Ruoxi Guan, Yang Zhao

Proceedings of the ICMHI 2020: 4th International Conference on Medical and Health Informatics, 2020

Asynchrounous Decentralized Learning of a Neural Network.

Xinyue Liang, Alireza M. Javid, Mikael Skoglund, Saikat Chatterjee

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Learning without Forgetting for Decentralized Neural Nets with Low Communication Overhead.

Xinyue Liang, Alireza M. Javid, Mikael Skoglund, Saikat Chatterjee

Proceedings of the 28th European Signal Processing Conference, 2020

Adaptive Learning without Forgetting via Low-Complexity Convex Networks.

Alireza M. Javid, Xinyue Liang, Mikael Skoglund, Saikat Chatterjee

Proceedings of the 28th European Signal Processing Conference, 2020

2018

Distributed Large Neural Network with Centralized Equivalence.

Xinyue Liang, Alireza M. Javid, Mikael Skoglund, Saikat Chatterjee

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018