Xin Sheng

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 24

Top Topics

Fault Diagnosis

Stochastic Methods

Top Venues

Reliab. Eng. Syst. Saf.

Publications

Xin Sheng, Xingwang Li, Gaojie Chen, Gaojian Huang, Congzheng Han, Zhiguo Ding
Performance Analysis of STAR-RIS Assisted Secure Cognitive NOMA-HARQ Networks. IEEE Wirel. Commun. Lett. 13 (3) (2024)
Yadong Xu, Ke Feng, Xiaoan Yan, Xin Sheng, Beibei Sun, Zheng Liu, Ruqiang Yan
Cross-Modal Fusion Convolutional Neural Networks With Online Soft-Label Training Strategy for Mechanical Fault Diagnosis. IEEE Trans. Ind. Informatics 20 (1) (2024)
Hangli Weng, Guodao Zhang, Xin Sheng, Ruyu Liu, Ping-Kuo Chen, Liping Wang
Correction: FeatureB2SENet: point cloud classification of large scenes. Vis. Comput. 40 (3) (2024)
Xin Sheng
Effective capacity of rate-splitting multiple access with channel estimation errors. Phys. Commun. 64 (2024)
Xin Sheng
Effective capacity of STAR-RIS assisted RSMA network with imperfect SIC. Phys. Commun. 66 (2024)
Hangli Weng, Guodao Zhang, Xin Sheng, Ruyu Liu, Ping-Kuo Chen, Liping Wang
FeatureB2SENet: point cloud classification of large scenes. Vis. Comput. 40 (2) (2024)
Gaojian Huang, Xin Sheng, Huiling Liu, Hui Zhang, Kaizhi Zhang, Hui Guo, Xingwang Li
Effective capacity analysis of NOMA with transceiver hardware and SIC imperfections. Phys. Commun. 58 (2023)
Sheng Li, Qiubo Jiang, Yadong Xu, Ke Feng, Yulin Wang, Beibei Sun, Xiaoan Yan, Xin Sheng, Ke Zhang, Qing Ni
Digital twin-driven focal modulation-based convolutional network for intelligent fault diagnosis. Reliab. Eng. Syst. Saf. 240 (2023)
Zhen Liu, Yongxin Zhu, Zhujin Gao, Xin Sheng, Linli Xu
ItrievalKD: An Iterative Retrieval Framework Assisted with Knowledge Distillation for Noisy Text-to-Image Retrieval. PAKDD (3) (2023)
Sheng Li, Yadong Xu, Ke Feng, Yulin Wang, Beibei Sun, Xiaoan Yan, Xin Sheng, Ke Zhang, Jinde Zheng, Qing Ni
Joint Threshold Learning Convolutional Networks for Intelligent Fault Diagnosis Under Nonstationary Conditions. IEEE Trans. Instrum. Meas. 72 (2023)
Xin Sheng, Linli Xu, Yinlong Xu, Deqiang Jiang, Bo Ren
Semantic-Preserving Abstractive Text Summarization with Siamese Generative Adversarial Net. NAACL-HLT (Findings) (2022)
Mingtao Ye, Liping Wang, Jingran Zhang, Xin Sheng, Guodao Zhang
SA-FGDEM: A Self-adaptive E-Learning Performance Prediction Model. DSAA (2022)
Yadong Xu, Xiaoan Yan, Ke Feng, Xin Sheng, Beibei Sun, Zheng Liu
Attention-based multiscale denoising residual convolutional neural networks for fault diagnosis of rotating machinery. Reliab. Eng. Syst. Saf. 226 (2022)
Jiquan Li, Junliang Guo, Yongxin Zhu, Xin Sheng, Deqiang Jiang, Bo Ren, Linli Xu
Sequence-to-Action: Grammatical Error Correction with Action Guided Sequence Generation. AAAI (2022)
Feiyue Qiu, Lijia Zhu, Guodao Zhang, Xin Sheng, Mingtao Ye, Qifeng Xiang, Ping-Kuo Chen
E-Learning Performance Prediction: Mining the Feature Space of Effective Learning Behavior. Entropy 24 (5) (2022)
Xin Sheng, Linli Xu, Yinlong Xu, Changcun Bao, Huang Chen, Bo Ren
CoCGAN: Contrastive Learning for Adversarial Category Text Generation. COLING (2022)
Mingtao Ye, Xin Sheng, Yanjie Lu, Guodao Zhang, Huiling Chen, Bo Jiang, Senhao Zou, Liting Dai
SA-FEM: Combined Feature Selection and Feature Fusion for Students' Performance Prediction. Sensors 22 (22) (2022)
Jiquan Li, Junliang Guo, Yongxin Zhu, Xin Sheng, Deqiang Jiang, Bo Ren, Linli Xu
Sequence-to-Action: Grammatical Error Correction with Action Guided Sequence Generation. CoRR (2022)
Xin Sheng, Jing Yuan, Wenbing Tao, Bo Tao, Liman Liu
Efficient convex optimization-based texture mapping for large-scale 3D scene reconstruction. Inf. Sci. 556 (2021)
Xin Sheng, Linli Xu, Junliang Guo, Jingchang Liu, Ruoyu Zhao, Yinlong Xu
IntroVNMT: An Introspective Model for Variational Neural Machine Translation. AAAI (2020)
Yuan Xint, Linli Xu, Junliang Guo, Jiquan Li, Xin Sheng, Yuanyuan Zhou
Label Incorporated Graph Neural Networks for Text Classification. ICPR (2020)
Jingchang Liu, Linli Xu, Junliang Guo, Xin Sheng
Adaptive Proximal Average Based Variance Reducing Stochastic Methods for Optimization with Composite Regularization. AAAI (2019)
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
Assembly of A Northern Han Genome. Genom. Proteom. Bioinform. 17 (3) (2019)
Xin Sheng, Jiayan Wu, Qianqian Sun, Xue Li, Feng Xian, Manman Sun, Wan Fang, Meili Chen, Jun Yu, Jing-Fa Xiao
MTD: a mammalian transcriptomic database to explore gene expression and regulation. Briefings Bioinform. 18 (1) (2017)
Christian Schönbach, Judice L. Y. Koh, Xin Sheng, Limsoon Wong, Vladimir Brusic
FIMM, a database of functional molecular immunology. Nucleic Acids Res. 28 (1) (2000)