Xin Sheng

According to our database, Xin Sheng authored at least 24 papers between 2000 and 2024.

Collaborative distances:

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

2024

Performance Analysis of STAR-RIS Assisted Secure Cognitive NOMA-HARQ Networks.

Xin Sheng, Xingwang Li, Gaojie Chen, Gaojian Huang, Congzheng Han, Zhiguo Ding

IEEE Wirel. Commun. Lett., March, 2024

Correction: FeatureB2SENet: point cloud classification of large scenes.

Hangli Weng, Guodao Zhang, Xin Sheng, Ruyu Liu, Ping-Kuo Chen, Liping Wang

Vis. Comput., March, 2024

FeatureB2SENet: point cloud classification of large scenes.

Hangli Weng, Guodao Zhang, Xin Sheng, Ruyu Liu, Ping-Kuo Chen, Liping Wang

Vis. Comput., February, 2024

Cross-Modal Fusion Convolutional Neural Networks With Online Soft-Label Training Strategy for Mechanical Fault Diagnosis.

Yadong Xu, Ke Feng, Xiaoan Yan, Xin Sheng, Beibei Sun, Zheng Liu, Ruqiang Yan

IEEE Trans. Ind. Informatics, January, 2024

Effective capacity of STAR-RIS assisted RSMA network with imperfect SIC.

Xin Sheng

Phys. Commun., 2024

Effective capacity of rate-splitting multiple access with channel estimation errors.

Xin Sheng

Phys. Commun., 2024

2023

Digital twin-driven focal modulation-based convolutional network for intelligent fault diagnosis.

Sheng Li, Qiubo Jiang, Yadong Xu, Ke Feng, Yulin Wang, Beibei Sun, Xiaoan Yan, Xin Sheng, Ke Zhang, Qing Ni

Reliab. Eng. Syst. Saf., December, 2023

Effective capacity analysis of NOMA with transceiver hardware and SIC imperfections.

Gaojian Huang, Xin Sheng, Huiling Liu, Hui Zhang, Kaizhi Zhang, Hui Guo, Xingwang Li

Phys. Commun., June, 2023

Joint Threshold Learning Convolutional Networks for Intelligent Fault Diagnosis Under Nonstationary Conditions.

Sheng Li, Yadong Xu, Ke Feng, Yulin Wang, Beibei Sun, Xiaoan Yan, Xin Sheng, Ke Zhang, Jinde Zheng, Qing Ni

IEEE Trans. Instrum. Meas., 2023

ItrievalKD: An Iterative Retrieval Framework Assisted with Knowledge Distillation for Noisy Text-to-Image Retrieval.

Zhen Liu, Yongxin Zhu, Zhujin Gao, Xin Sheng, Linli Xu

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

2022

SA-FEM: Combined Feature Selection and Feature Fusion for Students' Performance Prediction.

Mingtao Ye, Xin Sheng, Yanjie Lu, Guodao Zhang, Huiling Chen, Bo Jiang, Senhao Zou, Liting Dai

Sensors, 2022

Attention-based multiscale denoising residual convolutional neural networks for fault diagnosis of rotating machinery.

Yadong Xu, Xiaoan Yan, Ke Feng, Xin Sheng, Beibei Sun, Zheng Liu

Reliab. Eng. Syst. Saf., 2022

E-Learning Performance Prediction: Mining the Feature Space of Effective Learning Behavior.

Feiyue Qiu, Lijia Zhu, Guodao Zhang, Xin Sheng, Mingtao Ye, Qifeng Xiang, Ping-Kuo Chen

Entropy, 2022

Semantic-Preserving Abstractive Text Summarization with Siamese Generative Adversarial Net.

Xin Sheng, Linli Xu, Yinlong Xu, Deqiang Jiang, Bo Ren

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

SA-FGDEM: A Self-adaptive E-Learning Performance Prediction Model.

Mingtao Ye, Liping Wang, Jingran Zhang, Xin Sheng, Guodao Zhang

Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022

CoCGAN: Contrastive Learning for Adversarial Category Text Generation.

Xin Sheng, Linli Xu, Yinlong Xu, Changcun Bao, Huang Chen, Bo Ren

Proceedings of the 29th International Conference on Computational Linguistics, 2022

Sequence-to-Action: Grammatical Error Correction with Action Guided Sequence Generation.

Jiquan Li, Junliang Guo, Yongxin Zhu, Xin Sheng, Deqiang Jiang, Bo Ren, Linli Xu

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Efficient convex optimization-based texture mapping for large-scale 3D scene reconstruction.

Xin Sheng, Jing Yuan, Wenbing Tao, Bo Tao, Liman Liu

Inf. Sci., 2021

2020

Label Incorporated Graph Neural Networks for Text Classification.

Yuan Xint, Linli Xu, Junliang Guo, Jiquan Li, Xin Sheng, Yuanyuan Zhou

Proceedings of the 25th International Conference on Pattern Recognition, 2020

IntroVNMT: An Introspective Model for Variational Neural Machine Translation.

Xin Sheng, Linli Xu, Junliang Guo, Jingchang Liu, Ruoyu Zhao, Yinlong Xu

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Whole Genome Analyses of Chinese Population and <i>De Novo</i> Assembly of A Northern Han Genome.

Zhenglin Du, Liang Ma, Hongzhu Qu, Wei Chen, Bing Zhang, Xi Lu, Weibo Zhai, Xin Sheng, Yongqiao Sun, Wenjie Li, Meng Lei, Qiuhui Qi, Na Yuan, Shuo Shi, Jingyao Zeng, Jinyue Wang, Yadong Yang, Qi Liu, Changqing Zeng

Genom. Proteom. Bioinform., 2019

Adaptive Proximal Average Based Variance Reducing Stochastic Methods for Optimization with Composite Regularization.

Jingchang Liu, Linli Xu, Junliang Guo, Xin Sheng

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2017

MTD: a mammalian transcriptomic database to explore gene expression and regulation.

Xin Sheng, Jiayan Wu, Qianqian Sun, Xue Li, Feng Xian, Manman Sun, Wan Fang, Meili Chen, Jun Yu, Jing-Fa Xiao

Briefings Bioinform., 2017

2000

FIMM, a database of functional molecular immunology.

Christian Schönbach, Judice L. Y. Koh, Xin Sheng, Limsoon Wong, Vladimir Brusic

Nucleic Acids Res., 2000