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陈文超

副教授
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基本信息

教师姓名: 陈文超
教师拼音名称: CHENWENCHAO
出生日期: 1992-09-24
电子邮箱: chenwenchao@xidian.edu.cn
入职时间: 2022-01-01
学历: 博士研究生毕业
办公地点: 北校区100号楼421
性别:
联系方式: 88201795
学位: 工学博士学位
职称: 副教授
毕业院校: 西安电子科技大学
所在单位: 电子工程学院

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个人简介

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陈文超,副教授。2021获西安电子科技大学信号与信息处理专业博士学位,之后进入西安电子科技大学雷达信号处理重点实验室工作。主要研究包括雷达目标检测,识别,统计机器学习,深度学习等,已在国际顶级期刊或会议发表论文25余篇,第一或通信作者13余篇,主要包括IEEE T-SP, IEEE T-CYB, ICML, NeurIPS, INFOCOM等,获中国电子教育学会优秀博士论文提名奖。目前担任IEEE T-SP等国际期刊审稿人。主持或参与了包括实验室基金,自然科学基金面上项目,联合重点项目,装备预研基金,863计划,173计划等多个项目。


工作经历

2022.01-2023.08 西安电子科技大学 讲师

2023.08-至今 西安电子科技大学   副教授


近三年部分研究成果

2024年:

【1】Muyao Wang, Wenchao Chen+Bo Chen. Considering Nonstationary within Multivariate Time Series with Variational Hierarchical Transformer for Forecasting,  Association for the Advancement of Artificial Intelligence (AAAI). 2024. (通讯作者)

【2】Yuxin Li, Wenchao Chen+Xinyue Hu, Bo Chen + and Mingyuan Zhou, TRANSFORMER-MODULATED DIFFUSION MODELS FOR PROBABILISTIC MULTIVARIATE TIME SERIES FORECASTING, International Conference on Learning Representation (ICLR), 2024. (通讯作者)

2023年:

【1】Yuxin Li, Wenchao Chen+Bo Chen, Dongsheng Wang, Long Tian and Mingyuan Zhou, Prototype-oriented Unsupervised Anomaly Detection for Multivariate Time Series, International Conference on Machine Learning (ICML), Hawaii, 2023. (通讯作者)

2】Long Tian,Jingyi Feng, Wenchao Chen+, Xiaoqiang Chai, Liming Wang, Xiyang Liu and Bo Chen, "Prototypes-oriented Transductive Few-shot Learning with Conditional Transport", International Conference on Computer Vision (ICCV), 2023.(通讯作者)

3】陈文超,方博为,代良,陈渤,刘畅,赵小楠基于堆叠式对抗变分循环神经网络的多维时间序列异常检测,中国科学信息科学,2023.53.9, 1750-1767。

2022年:

【1】Wenchao Chen, Yicheng Liu, Bo Chen, Chaojie Wang, Mingyuan Zhou. ”Infinite Switching Dynamic Probabilistic Network with Nonparametric Bayesian Learning”. IEEE Trans. Signal Processing. 2022. 

【2】Wenchao Chen, Bo Chen, Yingqi Liu, Qianru Zhao, Hao Zhang, Long Tian. “Max-Margin Deep Diverse Latent Dirichlet Allocation With Continual Learning” IEEE Trans. Cybernetics. 2022.

【3】Wenchao Chen, Longtian, Bo Chen, Liang Dai, Zhibin Duan, Mingyuan Zhou. “Deep Variational Graph Convolutional Recurrent Neural Network for Multivariate Time Series Anomaly Detection, International Conference on Machine Learning (ICML). 2022. 

【4】Liang Dai*, Wenchao Chen*,Lin Tao, Bo Chen. “Switching Gaussian Mixture Variational RNN for Anomaly Detection of Diverse CDN Websites ” International Conference on Computer Communications (INFOCOM). 2022. (共同一作)

【5】Xueling Liang, Wenchao Chen+, Penghui Wang,Hongwei Liu. "Unsupervised Radar Target Detection Under Complex Clutter Background Based on Mixture Variational Autoencoder" Remote sensing. 2022. (通讯作者)

6Ruiying Lu, Bo Chen, Wenchao Chen, Penghui Wang, Hongwei Liu and Pramod K. Varshney, Heterogeneity-Aware Recurrent Neural Network for Hyperspectral and Multispectral Image Fusion”, IEEE Journal of Selected Topics in Signal Processing, 2022.

7Chaojie Wang, Zhibin Duan, Bo Chen, Wenchao Chen, Mingyuan Zhou. “Generative Text Convolutional Neural Network for Hierarchical Document Representation Learning”IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). 2022. 

2022年前:

【1】Wenchao Chen, Bo Chen, Yingqi Liu, Yang Yang, Hao Zhang and Hongwei Liu.”Tensor RNN with nonparametric mixture model for Radar HRRP modeling and Target Recognition” IEEE Trans. Signal Processing.  2021.

【2】Wenchao Chen, Bo Chen, Yicheng Liu, Baolin Sun, Hongwei Liu. “Bidirectionalrecurrent gamma belief network for HRRP recognition”Signal Processing. 2021. 

【3】Wenchao Chen, Chaojie Wang, Bo Chen, Yucheng Liu, Mingyuan Zhou. “Bidirectional Convolutional Poisson Gamma Dynamical Systems”, Neural Information Processing Systems (NeurIPS). 2020. 

【4】Wenchao Chen, Bo Chen, Yicheng Liu, Qianru Zhao, Mingyuan Zhou. “Switching Poisson Gamma Dynamical Systems” International Joint Conference on Artificial Intelligence (IJCAI). 2020. 

【5】Dandan Guo, Bo Chen, Wenchao Chen, Mingyuan Zhou .“Variational Temporal Deep Generative Model for Radar HRRP Target Recognition”IEEE Trans. Signal Processing. 2020. 

【6】Long Tian, Bo Chen, Wenchao Chen, Hongwei Liu. “Domain-aware Meta Network for Radar HRRP Target Recognition in Missing Aspects” Signal Processing. 2021. 

【7】Chuan Du, Long Tian, Bo Chen, Lei Zhang, Wenchao Chen, Hongwei Liu.”Region-factorized recurrent attentional network with deep clustering for radar HRRP target recognition Signal Processing. 2020 

【8】Zhibin Duan, Dongsheng Wang, Bo Chen, Chaojie Wang, Wenchao Chen, Mingyuan Zhou. “Sawtooth Factorial Topic Embeddings Guided Gamma Belief Network”. International Conference on Machine Learning . 2021. 









教育经历

[1]2017.9-2021.12
西安电子科技大学  | 信号与信息处理  | 博士学位

[2]2015.9-2017.6
西安电子科大学  | 信号与信息处理  | 硕士学位

[3]2011.9-2015.6
山东科技大学  | 通信工程  | 工学学士学位

工作经历

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学术荣誉

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曾获荣誉:

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