高欣
- 电子邮箱:3915f5b0c569083aaf03df2ca30a3f44e7d64dce05605ab3f96d0bb3baa6d1784734d65cbeaadee0ce09fe8fa890dfab5421b3e73f6010d8595c68c57e27fe84869cb78770369bd10d8f7ea0160bf08e63596bc4e0f21aa1fec1cf74ad3ce80f6c0df1946867d2dfd78858bdbd256f024665f6f417733d11ce6f3d8bd485cdd6
- 所在单位:智能工程与自动化学院
- 学历:研究生毕业
- 性别:男
- 学位:博士学位
- 职称:副教授
- 在职信息:在职
- 毕业院校:北京航空航天大学
- 博士生导师
- 硕士生导师
- 学科:控制科学与工程
- 所属院系:智能工程与自动化学院
- 2021当选:河北省科技进步三等奖
- 2019当选:中国电力企业联合会电力科技创新特等奖
- 2019当选:中国电机工程学会中国电力科学技术进步二等奖
- 2019当选:国家电网有限公司科学技术进步一等奖
- 2014当选:军队科技进步三等奖
- 2020当选:获得北京邮电大学第三届“优秀研究生育人导师”称号
- 2024当选:北京邮电大学校级优秀硕士学位论文指导教师称号
- 2022当选:北京邮电大学校级优秀硕士学位论文指导教师称号
- 2021当选:北京邮电大学校级优秀硕士学位论文指导教师称号
- 2024当选:北京邮电大学人工智能学院院级优秀硕士学位论文指导教师称号
- 2023当选:北京邮电大学人工智能学院院级优秀硕士学位论文指导教师称号
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[1].Shiyuan Fu, Xin Gao*, et al. A time series anomaly detection method based on series-parallel transformers with spatial and temporal association discrepancies[J]. Information Sciences, 2024, 657: 119978. (SCI,中科院1区,Top期刊)
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[2].Jiahao Yu, Xin Gao*, et al. An adversarial contrastive autoencoder for robust multivariate time series anomaly detection[J]. Expert Systems with Applications, 2024,245: 123010. (SCI,中科院1区,Top期刊)
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[3].Jiahao Yu, Xin Gao*, et al. A filter-augmented auto-encoder with learnable normalization for robust multivariate time series anomaly detection[J]. Neural Networks, 2024, 170: 478-493. (SCI,中科院1区,Top期刊)
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[4].Zhihang Meng, Xin Gao*, et al. An imbalanced contrastive classification method via similarity comparison within sample-neighbors with adaptive generation[J]. Information Sciences, 2024, 662: 120273. (SCI,中科院1区,Top期刊)
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[5].Bing Xue, Xin Gao*, et al. A Robust Multi-Scale Feature Extraction Framework with Dual Memory Module for Multivariate Time Series Anomaly Detection[J]. Neural Networks. 2024,177:106395.(SCI,中科院1区,Top期刊)
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[6].Shiyuan Fu, Xin Gao*, et al. Multivariate Time Series Anomaly Detection via Separation, Decomposition, and Dual Transformer-based Autoencoder[J]. Applied Soft Computing. 2024,159:111671.(SCI,中科院1区,Top期刊)
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[7].Zijian Huang, Xin Gao*, et al. An imbalanced binary classification method via space mapping using normalizing flows with class discrepancy constraints[J]. Information Sciences, 2023, 623: 493-523. (SCI,中科院1区,Top期刊)
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[8].Xin Gao*,Jiahao Yu, et al. An ensemble-based outlier detection method for clustered and local outliers with differential potential spread loss[J]. Knowledge-Based Systems, 2022, 258: 110003. (SCI,中科院1区,Top期刊)
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[9].KangSheng Li, Xin Gao*, et al. Robust outlier detection based on the changing rate of directed density ratio[J]. Expert Systems with Applications, 2022, 207: 117988. (SCI,中科院1区,Top期刊)
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[10].Xin Gao*, Xin Jia, et al. An ensemble contrastive classification framework for imbalanced learning with sample-neighbors pair construction[J]. Knowledge-Based Systems, 2022, 249: 109007. (SCI,中科院1区,Top期刊)