Dr. Bo Chen, Professor

National Key Lab of Radar Signal Processing, Xidian University

Address: National Key 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

    2008-2013  Research Scientist, Senior Research Scientist at ECE Department, Duke University, USA  

    2013-present    Professor at School of Electronic Engineering, Xidian University, Xi\\\\\\\\\\\\\\\\\\\'an, Shaanxi, China

    2014                   Oversea Talent by Chinese Central Government

    2023                   National Scholar Distinguished Professor by Ministry of Education

• The Seventh International Workshop on Signal and Information Intelligent Learning and Processing, SIILP 2024, Xidian University，7.6，2024.
• Jianqiao has one paper, Advancing Hyperspectral and Multispectral Image Fusion: An Information-aware Transformer-based Unfolding Network, accepted by IEEE TNNLS. Congratulations!
• Yuxin and Yaoxuan have one paper, Vague Prototype-Oriented Diffusion Model for Multi-Class Anomaly Detection, accepted by ICML2024. Congratulations!
• Xinyang and Dongsheng have one paper, Patch-Prompt Aligned Bayesian Prompt Tuning for Vision-Language Models, accetped by the Conference on Uncertainty in Artificial Intelligence (UAI2024), Congratulations!
• Ruiying and Ziheng have one paper, Motion-aware Dynamic Graph Neural Network for Video Compressive Sensing, accetped by IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Congratulations!
• Yuxin and Wenchao have one paper, Transformer-Modulated Diffusion Models for Probabilistic Multivariate Time Series Forecasting, accepted by ICLR2024. Congratulations!
• Four papers have been accepted by NeurIPS2023. Congratulations to Dongsheng, Yishi, Zhibin and Ruiying!
• Two papers have been accepted by ICCV2023. Congratulations to Dongsheng, Miaoge, Long and Wenchao!
• Two papers have been accepted by ICML2023. Congratulations to Zhibin, Xinyang, Yuxin and Wenchao!
• Zequn and Hao have one paper, ConZIC: Controllable Zero-shot Image Captioning by Sampling-Based Polishing, accepted by CVPR2023. Congratulations!
• Four papers have been accepted by NeurIPS2022. Congratulations to Dongsheng, Yishi, Yewen and Yilin!
• Chaojie and Zhibin have one paper, Generative Text Convolutional Neural Network for Hierarchical Document Representation Learning, accepted by IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). A deep probabilistic convolutional neural network to learn hierarchical document representation. Congratulations!
• Zhibin and Yishi have one paper, Bayesian Deep Embedding Topic Meta-Learner, accepted by ICML2022. Congratulations!
• Wenchao and Long have one paper,,Deep Variational Graph Convolutional Recurrent Network for Multivariate Time Series Anomaly Detection, accepted by ICML2022. Congratulations!
• Ruiying and Jianqiao have one paper, Heterogeneity-Aware Recurrent Neural Network for Hyperspectral and Multispectral Image Fusion, accpted by IEEE Journal of Selected Topics in Signal Processing (IEEE J-STSP) . Congratulations!
• Dandan and Ruiying Lu have one paper, Matching Visual Features to Hierarchical Semantic Topics for Image Paragraph Captioning, accepted by International Journal of Computer Vision (IJCV), 2022. Congratulations!
• Ziheng and Ruiying have one paper, Recurrent Neural Networks for Snapshot Compressive Imaging, accepted by IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022. Congratulations!
• Wenchao Chen has one paper, Infinite Switching Dynamic Probabilistic Network with Bayesian Nonparametric Learning, accepted by IEEE Transactions on Signal Processing. Congratulations!
• Dongsheng and Dandan have one paper, Representing Mixtures of Word Embeddings with Mixtures of Topic Embeddings, accepted by International Conference on Learning Representations (ICLR) 2022. Congratulations!

• The First Prize of Natural Science Award of Shaanxi province (1/6), 2021.

• Zhibin and Yishi have one paper, TopicNet: Semantic Graph-Guided Topic Discovery, accepted by NeurIPS 2021, which tries to take advantage of the commen sense to guide the learning of probabilsitic deep model via knowledge graph. Korawat and Xinjie have one paper, A Prototype-Oriented Framework for Unsupervised Domain Adaptation, a memory and computation-efficient probabilistic framework for different senoarios.
• Ruiying and Guanliang have one paper, Dual-view Snapshot Compressive Imaging via Optical Flow Aided Recurrent Neural Network, accepted by International Journal of Computer Vision (IJCV), which exploits the dynamic characteristics in the multi-view SCI. Congratulations!
• Dandan and Meixi have one paper, SAR Automatic Target Recognition based on Supervised Deep Variational Auto-encoding Model, accepted by IEEE Transactions on Aerospace and Electronic Systems, which takes advantage of deep probabilistic model to improve the explainability of SAR Target recognition task. Congratulations!
• Zhibin and Dongsheng have one paper, Sawtooth Factorial Topic Embeddings Guided Gamma Belief Network, accpeted by ICML 2021, which makes deep probabilistic model deeper and semantic distance between neurons from different layers measureble. Congratulations!
• Zhibin and Hao have one paper, EnsLM: Ensemble Language Model for Data Diversity by Semantic Clustering, accepted by ACL 2021. Congratulations!
• Ziheng Cheng has one paper, Memory-Efficient Network for Large-scale Video Compressive Sensing, accepted by IEEE CVPR2021. Congratulations!
• Zhengjue Wang and Hao Zhang has one paper, MetaSCI: Scalable and Adaptive Reconstruction for Video Compressive Sensing, accepted by IEEE CVPR2021. Congratulations!
• Wenchao Chen has one paper, Tensor RNN with Bayesian Nonparametric Mixture for Radar HRRP Modeling and Target Recognition, accepted by IEEE Transactions on Signal Processing. Congratulations!
• Young Science and Technology Pacesetter of Shaanxi province in 2021.
• Wenchao Chen has one paper, Max-Margin Deep Diverse Latent Dirichlet Allocation with continual learning, accepted by IEEE Transactions on Cybernetics. Congratulations!
• Dandan Guo has one paper, Variational Temporal Deep Generative Model for Radar HRRP Target Recognition, accepted by IEEE Transactons on Signal Processing, which employs our dynamic deep generative model for radar HRRP. 
• Zhengjue has one paper, Unsupervised Hyperspectral and Multispectral Images Fusion Based on Nonlinear Variational Probabilistic Generative Model, accepted by IEEE Trans. on Neural Networks and Learning Systems. 
• Zhengjue and Zhibin Duan have one paper, Friendly Topic Assistant for Transformer Based Abstractive Summarization, accepted by the 2020 Conference on Empirical Methods in Natural Language Processing, EMNLP2020.
• Our 3rd SIILP2020 (International Workshop on Signal and Information Intelligent Learning and Processing) will be held online in Tencent Meeting and VooV meeting in 15-16 August, 2020.
• Wei Wen, Xuefeng Zhang and Zhengjue Wang have one paper, Infinite Bayesian Max-Margin Discriminant Projection accepted by IEEE Transactions on Cybernetics. Congratulations!
• Ruiying Lu and Ziheng Zhang have one paper, RAFnet: Recurrent Attention Fusion Network of Hyperspectral and Multispectral images, accepted by Signal Processing. Congratulations!
• Ziheng Cheng and Ruiying Lu has one paper, BIRNAT: Bidirectional Recurrent Neural Networks with Adversarial Training for Video Snapshot Compressive Imaging, accepted by ECCV2020.  Congratulations! The work produces the state of the art results on synthetic and real benchmark data for video Snapshot Compressive Imagin (SCI) task.
• Hao Zhang has one paper，Deep Autoencoding Topic Model with Scalable Hybrid Bayesian Inference，accepted by IEEE Trans. on Pattern Analysis and Machine Intelligence. Congratulations!
• Zhengjue Wang and Ruiying Lu have one paper, FusionNet: An Unsupervised Convolutional Variational Network for Hyperspectral and Multispectral Image Fusion, accepted by IEEE Trans. on Image Processing. Congratulations!
• Dandan Guo and Ruiying Lu have one paper, Recurrent Hierarchical Topic-Guided RNN for Language Generation, accepted by ICML2020. Congratulations!
• Wenchao and Yicheng, an undergraduate intern in my Lab, have one paper, Switching Poisson Gamma Dynamical System, accepted by IJCAI2020.  Long and Yang have one paper, META NETWORK FOR RADAR HRRP NONCOOPERATIVE TARGET RECOGNITION WITH MISSING ASPECTS, accepted by IGARSS2020 as an oral. Congratulations!
• Hao Zhang and Long Tian have one paper，Variational Hetero-Encoder Randomized GANs for Joint Image-Text Modeling, accepted by ICLR. Congratulations!
• 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)