陈文超，副教授。2021获beoplay体育提现信号与信息处理专业博士学位，之后进入beoplay体育提现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，联合重点项目，装备预研基金，863计划，173计划以及多个横向课题等多个项目。

工作经历

2022.01-2023.08 beoplay体育提现 讲师

2023.08-至今 beoplay体育提现   副教授

第一/通信作者部分研究成果

2024年：

【1】Considering Nonstationary within Multivariate Time Series with Variational Hierarchical Transformer for Forecasting,  Association for the Advancement of Artificial Intelligence (AAAI). 2024. 

【2】TRANSFORMER-MODULATED DIFFUSION MODELS FOR PROBABILISTIC MULTIVARIATE TIME SERIES FORECASTING, International Conference on Learning Representation (ICLR), 2024.

【3】Vague Prototype-Oriented Diffusion Model for Multi-Class Anomaly Detection, International Conference on Machine Learning (ICML)，2024

【4】Max-Mahalanobis centers guided Adversarial Network for Generalized Few-Shot Radar Target Recognition, IEEE Trans. AEROSPACE AND ELECTRONIC SYSTEMS (TAES)，2024
【5】IfCMD: A Novel Method for Radar Target Detection Under the Complex Clutter Background, Remote sensing ，2024

2023年：

【1】Prototype-oriented Unsupervised Anomaly Detection for Multivariate Time Series, International Conference on Machine Learning (ICML), Hawaii, 2023. 

【2】"Prototypes-oriented Transductive Few-shot Learning with Conditional Transport", International Conference on Computer Vision (ICCV), 2023.

【3】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】”Infinite Switching Dynamic Probabilistic Network with Nonparametric Bayesian Learning”. IEEE Trans. Signal Processing. 2022. 

【2】“Max-Margin Deep Diverse Latent Dirichlet Allocation With Continual Learning” IEEE Trans. Cybernetics. 2022.

【3】“Deep Variational Graph Convolutional Recurrent Neural Network for Multivariate Time Series Anomaly Detection, International Conference on Machine Learning (ICML). 2022. 

【4】“Switching Gaussian Mixture Variational RNN for Anomaly Detection of Diverse CDN Websites ” International Conference on Computer Communications (INFOCOM). 2022. 

【5】"Unsupervised Radar Target Detection Under Complex Clutter Background Based on Mixture Variational Autoencoder" Remote sensing. 2022. 

2022年前：

【1】”Tensor RNN with nonparametric mixture model for Radar HRRP modeling and Target Recognition” IEEE Trans. Signal Processing.  2021.

【2】 “Bidirectionalrecurrent gamma belief network for HRRP recognition”Signal Processing. 2021. 

【3】“Bidirectional Convolutional Poisson Gamma Dynamical Systems”, Neural Information Processing Systems (NeurIPS). 2020. 

【4】“Switching Poisson Gamma Dynamical Systems” International Joint Conference on Artificial Intelligence (IJCAI). 2020. 

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