Name Title: Dr. Bo Chen, Professor

Department: School of Electronic Engineering, Xidian University

Address: National Lab of Radar Signal Processing, Xidian University, No 2 South Taibai Road, Xi'an, Shaanxi 710071, P. R. China

Room: 411 Building 100

Email: bchen@mail.xidian.edu.cn

Tel: 02988201217

    1999.9-2003.7    B.S. at EE Department, Xidian University, Xi’an, Shaanxi, China    

    2003.9-2008.6    PhD in National Lab. of Radar Signal Processing, at EE Department, Xidian University

    2008.11-2013.1  Research Scientist, Senior Research Scientist at ECE Department, Duke University, USA  

    2013.2-present    Professor at School of Electronic Engineering, Xidian University, Xi'an, Shaanxi, China

    2014                   Young Thousand Talent by Chinese Central Government

• From July, I will be an Associate Editor for IEEE Transactions on Signal Processing.
• Chaojie Wang and Sucheng Xiao have one paper，Convolutional Poisson Gamma Belief Network, accepted by ICML2019. Congratulations! An end-to-end probabilistic convolutional autoencoder, can handle the one-hot data of word order without word embedding as preprocessing. Code has been released!
• Three papers accepted by Signal Processing.
• The code about, WHAI: Weibull Hybrid Autoencoding Inference for Deep Topic Modeling, has been released！
• Dandan Guo and Hao Zhang have one paper，Deep Poisson Gamma Dynamic Systems, accepted by NIPS2018. Congratulations!
• Hao has one paper, Deep Max-Margin Discriminant Projection, accepted by IEEE Transactions on Cybernetics. Congratulations!
• Hao and Dandan have one paper, WHAI: Weibull Hybrid Autoencoding Inference for Deep Topic Modeling, Accpeted by the Sixth International Conference on Learning Representations (ICLR2018). Congratulations! A deep probabilistic autoencoder model with the high efficiency of parameter learning like conventional deep networks and good interpretable and uncertain property like probabilistic modeling.  
• Chaojie has one paper, Multimodal Poisson Gamma Belief Network, Accpeted by the Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18). Congratulations!
• Zhengjue Wang and Ying Zhai received the National scholarship. Congratulations!
• Program Committee member for NIPS 2017
• Yulai had one paper, Deep Latent Dirichlet Allocation with Topic-Layer-AdaptiveStochastic Gradient Riemannian (TLASGR) MCMC, Accpeted by International Coference on Machine Learning (ICML) 2017. Congratulations! A stochastic online deep probabilistic generative model.
• Yulai had one paper, Fast Simulation of Hyperplane-Truncated Multivariate Normal Distributions, accepted by Bayesian Analysis. Congratulations!
• 2016 Electronic and Information Engineering Symposiam (EIES2016) will be held during 11.12-11.13 in Xidian Unviersity by our National Lab of Radar Signal Processing, which is free for registration. http://meeting.xidian.edu.cn/symposium/eies2016/
• Our team won the second place in the competition of Radar Target Recognition. Congs Hao Zhang, Jinwei Wan, Chaojie Wang and Long Tian!
• Bo Feng had one paper accepted by Pattern Recognition, although going through the review procdure for two years. Congratulations!
• Wei Wen had one paper accepted by Information Sciences. Congratulations!
• Yulai had one paper accepted by IEEE trans. on Signal Processing. Congratulations!
• Xuefeng and Jun had papers accepted by Pattern Recognition and GRSL. Congratulations!
• Visited Montreal for NIPS2015.
• Talks at the workshop on advanced radar technique.
• Talks at Nanjing University of Information Science & Techonology and Radar XueBao.
• Hao Zhang and Yanhua Ding received the National scholarship. Congratulations!
• Mengyuan and Dingkun received the 1st class scholarship. Congs!
• One paper working with Prof. Zhou from UTAustin, The Poisson Gamma Belief Network, has been accepted by NIPS2015.
• I received the advanced research key foundation from PLA General armament Department
• Bo Feng successfully finished his PhD defense. Congratulations!
• I co-organized MIIS2015, which will be held in Beijing next year.
• I gave a talk at MLA2015.
• I co-organized MIIS2014.
• I joined VALSE2014 Panel discussion.
• I was selected by One Thousand Young Talent Program in 2014.
• I was selected by New Century Excerlent Talent Program in 2013
• I received one NSFC grant.

1. Statistical Signal and information processing
2. Statistical machine learning (Bayesian models and inference)
3. Online inference
4. Deep learning and its application for large-scale image analysis using GPUs
5. Pattern recognition (radar automatic target recognition)