Bo Chen

Orcid: 0000-0001-5151-9388

Affiliations:
  • Xidian University, National Lab of Radar Signal Processing, Xi'an, China
  • Duke University, Department of Electrical and Computer Engineering, Durham, NC, USA (2008 - 2012)
  • Xidian University, Department of Electronic Engineering, Xi'an, China (PhD 2008)


According to our database1, Bo Chen authored at least 153 papers between 2006 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Motion-Aware Dynamic Graph Neural Network for Video Compressive Sensing.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Discriminative shapelet learning via temporal clustering and matrix factorization.
Appl. Intell., October, 2024

IfCMD: A Novel Method for Radar Target Detection under Complex Clutter Backgrounds.
Remote. Sens., June, 2024

Denoising matrix factorization for high-dimensional time series forecasting.
Neural Comput. Appl., January, 2024

Hierarchical Topic-Aware Contextualized Transformers.
IEEE ACM Trans. Audio Speech Lang. Process., 2024

Selective-generative feature representations for generalized zero-shot open-set classification by learning a tightly clustered space.
Expert Syst. Appl., 2024

An adaptive class prototype generation framework for partial label learning.
Eng. Appl. Artif. Intell., 2024

Scalable Weibull Graph Attention Autoencoder for Modeling Document Networks.
CoRR, 2024

Treating Brain-inspired Memories as Priors for Diffusion Model to Forecast Multivariate Time Series.
CoRR, 2024

Disentangled Generative Graph Representation Learning.
CoRR, 2024

A Non-negative VAE:the Generalized Gamma Belief Network.
CoRR, 2024

SnapCap: Efficient Snapshot Compressive Video Captioning.
CoRR, 2024

keqing: knowledge-based question answering is a nature chain-of-thought mentor of LLM.
CoRR, 2024

HICEScore: A Hierarchical Metric for Image Captioning Evaluation.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Vague Prototype-Oriented Diffusion Model for Multi-Class Anomaly Detection.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Transformer-Modulated Diffusion Models for Probabilistic Multivariate Time Series Forecasting.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Instruction Tuning-Free Visual Token Complement for Multimodal LLMs.
Proceedings of the Computer Vision - ECCV 2024, 2024

MeaCap: Memory-Augmented Zero-shot Image Captioning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Considering Nonstationary within Multivariate Time Series with Variational Hierarchical Transformer for Forecasting.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Data association for maneuvering targets through a combined siamese network and XGBoost model.
Signal Process., October, 2023

Multiscale Visual-Attribute Co-Attention for Zero-Shot Image Recognition.
IEEE Trans. Neural Networks Learn. Syst., September, 2023

Learning Hierarchical Document Graphs From Multilevel Sentence Relations.
IEEE Trans. Neural Networks Learn. Syst., August, 2023

Generative Text Convolutional Neural Network for Hierarchical Document Representation Learning.
IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

Suspicious Object Detection for Millimeter-Wave Images With Multi-View Fusion Siamese Network.
IEEE Trans. Image Process., 2023

Recurrent Neural Networks for Snapshot Compressive Imaging.
IEEE Trans. Pattern Anal. Mach. Intell., 2023

Patch-Token Aligned Bayesian Prompt Learning for Vision-Language Models.
CoRR, 2023

Hierarchical Vector Quantized Transformer for Multi-class Unsupervised Anomaly Detection.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Few-shot Generation via Recalling Brain-Inspired Episodic-Semantic Memory.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Tuning Multi-mode Token-level Prompt Alignment across Modalities.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Prototype-oriented unsupervised anomaly detection for multivariate time series.
Proceedings of the International Conference on Machine Learning, 2023

Prototypes-oriented Transductive Few-shot Learning with Conditional Transport.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

PatchCT: Aligning Patch Set and Label Set with Conditional Transport for Multi-Label Image Classification.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

ConZIC: Controllable Zero-shot Image Captioning by Sampling-Based Polishing.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Infinite Switching Dynamic Probabilistic Network With Bayesian Nonparametric Learning.
IEEE Trans. Signal Process., 2022

Unsupervised Hyperspectral and Multispectral Images Fusion Based on Nonlinear Variational Probabilistic Generative Model.
IEEE Trans. Neural Networks Learn. Syst., 2022

Attitude and Size Estimation of Satellite Targets Based on ISAR Image Interpretation.
IEEE Trans. Geosci. Remote. Sens., 2022

Infinite Bayesian Max-Margin Discriminant Projection.
IEEE Trans. Cybern., 2022

Multimodal Weibull Variational Autoencoder for Jointly Modeling Image-Text Data.
IEEE Trans. Cybern., 2022

Max-Margin Deep Diverse Latent Dirichlet Allocation With Continual Learning.
IEEE Trans. Cybern., 2022

Multi-scale visual attention for attribute disambiguation in zero-shot learning.
Signal Process. Image Commun., 2022

Open set HRRP recognition with few samples based on multi-modality prototypical networks.
Signal Process., 2022

Robust Multiple-Measurement Sparsity-Aware STAP with Bayesian Variational Autoencoder.
Remote. Sens., 2022

Unsupervised Radar Target Detection under Complex Clutter Background Based on Mixture Variational Autoencoder.
Remote. Sens., 2022

Bayesian compression for dynamically expandable networks.
Pattern Recognit., 2022

Generalized zero-shot domain adaptation with target unseen class prototype learning.
Neural Comput. Appl., 2022

An active unseen sample selection framework for generalized zero-shot classification.
Int. J. Mach. Learn. Cybern., 2022

Fast C&W: A Fast Adversarial Attack Algorithm to Fool SAR Target Recognition With Deep Convolutional Neural Networks.
IEEE Geosci. Remote. Sens. Lett., 2022

Heterogeneity-Aware Recurrent Neural Network for Hyperspectral and Multispectral Image Fusion.
IEEE J. Sel. Top. Signal Process., 2022

Intelligent multiframe detection aided by Doppler information and a deep neural network.
Inf. Sci., 2022

Matching Visual Features to Hierarchical Semantic Topics for Image Paragraph Captioning.
Int. J. Comput. Vis., 2022

Ordinal Graph Gamma Belief Network for Social Recommender Systems.
CoRR, 2022

HyperMiner: Topic Taxonomy Mining with Hyperbolic Embedding.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Alleviating "Posterior Collapse" in Deep Topic Models via Policy Gradient.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

A Variational Edge Partition Model for Supervised Graph Representation Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Knowledge-Aware Bayesian Deep Topic Model.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Switching Gaussian Mixture Variational RNN for Anomaly Detection of Diverse CDN Websites.
Proceedings of the IEEE INFOCOM 2022, 2022

Bayesian Deep Embedding Topic Meta-Learner.
Proceedings of the International Conference on Machine Learning, 2022

Deep Variational Graph Convolutional Recurrent Network for Multivariate Time Series Anomaly Detection.
Proceedings of the International Conference on Machine Learning, 2022

Representing Mixtures of Word Embeddings with Mixtures of Topic Embeddings.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
Tensor RNN With Bayesian Nonparametric Mixture for Radar HRRP Modeling and Target Recognition.
IEEE Trans. Signal Process., 2021

SAR Automatic Target Recognition Based on Supervised Deep Variational Autoencoding Model.
IEEE Trans. Aerosp. Electron. Syst., 2021

LCS-EnsemNet: A Semisupervised Deep Neural Network for SAR Image Change Detection With Dual Feature Extraction and Label-Consistent Self-Ensemble.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Generalized zero-shot classification via iteratively generating and selecting unseen samples.
Signal Process. Image Commun., 2021

Domain-aware meta network for radar HRRP target recognition with missing aspects.
Signal Process., 2021

Region-factorized recurrent attentional network with deep clustering for radar HRRP target recognition.
Signal Process., 2021

Bidirectional recurrent gamma belief network for HRRP target recognition.
Signal Process., 2021

Deep Autoencoding Topic Model With Scalable Hybrid Bayesian Inference.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

Dual-view Snapshot Compressive Imaging via Optical Flow Aided Recurrent Neural Network.
Int. J. Comput. Vis., 2021

A Prototype-Oriented Framework for Unsupervised Domain Adaptation.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

TopicNet: Semantic Graph-Guided Topic Discovery.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Bayesian Attention Belief Networks.
Proceedings of the 38th International Conference on Machine Learning, 2021

Sawtooth Factorial Topic Embeddings Guided Gamma Belief Network.
Proceedings of the 38th International Conference on Machine Learning, 2021

MetaSCI: Scalable and Adaptive Reconstruction for Video Compressive Sensing.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Memory-Efficient Network for Large-Scale Video Compressive Sensing.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

EnsLM: Ensemble Language Model for Data Diversity by Semantic Clustering.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Variational Temporal Deep Generative Model for Radar HRRP Target Recognition.
IEEE Trans. Signal Process., 2020

FusionNet: An Unsupervised Convolutional Variational Network for Hyperspectral and Multispectral Image Fusion.
IEEE Trans. Image Process., 2020

RAFnet: Recurrent attention fusion network of hyperspectral and multispectral images.
Signal Process., 2020

Packet-Based Intrusion Detection Using Bayesian Topic Models in Mobile Edge Computing.
Secur. Commun. Networks, 2020

The Performance Analysis of Signal Recognition Using Attention Based CNN Method.
IEEE Access, 2020

Recognizing the HRRP by Combining CNN and BiRNN With Attention Mechanism.
IEEE Access, 2020

Deep Relational Topic Modeling via Graph Poisson Gamma Belief Network.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Bayesian Attention Modules.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Bidirectional Convolutional Poisson Gamma Dynamical Systems.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Switching Poisson Gamma Dynamical Systems.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Meta Network for Radar HRRP Noncooperative Target Recognition with Missing Aspects.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Memory-Based Neural Network for Radar HRRP Noncooperative Target Recognition.
Proceedings of the 11th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2020

Recurrent Hierarchical Topic-Guided RNN for Language Generation.
Proceedings of the 37th International Conference on Machine Learning, 2020

Variational Hetero-Encoder Randomized GANs for Joint Image-Text Modeling.
Proceedings of the 8th International Conference on Learning Representations, 2020

Friendly Topic Assistant for Transformer Based Abstractive Summarization.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

BIRNAT: Bidirectional Recurrent Neural Networks with Adversarial Training for Video Snapshot Compressive Imaging.
Proceedings of the Computer Vision - ECCV 2020, 2020

Learning Dynamic Hierarchical Topic Graph with Graph Convolutional Network for Document Classification.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019
Noise-Robust Motion Compensation for Aerial Maneuvering Target ISAR Imaging by Parametric Minimum Entropy Optimization.
IEEE Trans. Geosci. Remote. Sens., 2019

Deep Max-Margin Discriminant Projection.
IEEE Trans. Cybern., 2019

Target-Aware Recurrent Attentional Network for Radar HRRP Target Recognition.
Signal Process., 2019

Variational probabilistic generative framework for single image super-resolution.
Signal Process., 2019

Long short-term memory-based recurrent neural networks for nonlinear target tracking.
Signal Process., 2019

Factorized discriminative conditional variational auto-encoder for radar HRRP target recognition.
Signal Process., 2019

Convolutional neural networks for radar HRRP target recognition and rejection.
EURASIP J. Adv. Signal Process., 2019

Recurrent Hierarchical Topic-Guided Neural Language Models.
CoRR, 2019

Variational Hetero-Encoder Randomized Generative Adversarial Networks for Joint Image-Text Modeling.
CoRR, 2019

Memorized Variational Continual Learning for Dirichlet Process Mixtures.
IEEE Access, 2019

A Video Streaming Transmission Scheme Based on Frame Priority in Device-to-Device Multicast Networks.
IEEE Access, 2019

Convolutional Poisson Gamma Belief Network.
Proceedings of the 36th International Conference on Machine Learning, 2019

Robust Attack on Deep Learning based Radar HRRP Target Recognition.
Proceedings of the 2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2019

2018
Deep Poisson gamma dynamical systems.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Wavelet Autoencoder for Radar HRRP Target Recognition with Recurrent Neural Network.
Proceedings of the Intelligence Science and Big Data Engineering, 2018

Radar HRRP Target Recognition with Recurrent Convolutional Neural Networks.
Proceedings of the Intelligence Science and Big Data Engineering, 2018

WHAI: Weibull Hybrid Autoencoding Inference for Deep Topic Modeling.
Proceedings of the 6th International Conference on Learning Representations, 2018

Multimodal Poisson Gamma Belief Network.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Radar HRRP target recognition with deep networks.
Pattern Recognit., 2017

Multiple-Instance feature extraction at the bag and instance levels using the maximum trace-difference criterion.
Inf. Sci., 2017

Robust Variational Auto-Encoder for Radar HRRP Target Recognition.
Proceedings of the Intelligence Science and Big Data Engineering, 2017

Deep Latent Dirichlet Allocation with Topic-Layer-Adaptive Stochastic Gradient Riemannian MCMC.
Proceedings of the 34th International Conference on Machine Learning, 2017

2016
Average SINR Calculation of a Persymmetric Sample Matrix Inversion Beamformer.
IEEE Trans. Signal Process., 2016

Modified Rao Test for Multichannel Adaptive Signal Detection.
IEEE Trans. Signal Process., 2016

Nonparametric Bayesian Attributed Scattering Center Extraction for Synthetic Aperture Radar Targets.
IEEE Trans. Signal Process., 2016

Performance of the SMI beamformer with signal steering vector errors in heterogeneous environments.
Signal Process., 2016

Infinite max-margin factor analysis via data augmentation.
Pattern Recognit., 2016

Convolutional Neural Network With Data Augmentation for SAR Target Recognition.
IEEE Geosci. Remote. Sens. Lett., 2016

Augmentable Gamma Belief Networks.
J. Mach. Learn. Res., 2016

SINR analysis in persymmetric adaptive processing.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

Multiple scattering effects on the localization of two point scatterers.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Performance analysis of a modified Rao test for adaptive subspace detection.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015
Simultaneous Multibeam Resource Allocation Scheme for Multiple Target Tracking.
IEEE Trans. Signal Process., 2015

Prior Knowledge-Based Simultaneous Multibeam Power Allocation Algorithm for Cognitive Multiple Targets Tracking in Clutter.
IEEE Trans. Signal Process., 2015

Knowledge-Based Spatial-Temporal Hierarchical MIMO Radar Waveform Design Method for Target Detection in Heterogeneous Clutter Zone.
IEEE Trans. Signal Process., 2015

Max-Margin Discriminant Projection via Data Augmentation.
IEEE Trans. Knowl. Data Eng., 2015

Detection Probability of a CFAR Matched Filter with Signal Steering Vector Errors.
IEEE Signal Process. Lett., 2015

Weighted classifier ensemble based on quadratic form.
Pattern Recognit., 2015

A Three-Component Fisher-Based Feature Weighting Method for Supervised PolSAR Image Classification.
IEEE Geosci. Remote. Sens. Lett., 2015

Modified Hybrid Freeman/Eigenvalue Decomposition for Polarimetric SAR Data.
J. Sensors, 2015

The Poisson Gamma Belief Network.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Max-margin similarity preserving factor analysis via Gibbs sampling.
Proceedings of the 25th IEEE International Workshop on Machine Learning for Signal Processing, 2015

A Fast Parallel Genetic Algorithm for Graph Coloring Problem Based on CUDA.
Proceedings of the 2015 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, 2015

2014
Classification Method for Fully PolSAR Data Based on Three Novel Parameters.
IEEE Geosci. Remote. Sens. Lett., 2014

An improved three-component model-based decomposition for polarimetric SAR data.
Proceedings of the International Conference on Audio, 2014

2013
A Large Scene Deceptive Jamming Method for Space-Borne SAR.
IEEE Trans. Geosci. Remote. Sens., 2013

Deep Learning with Hierarchical Convolutional Factor Analysis.
IEEE Trans. Pattern Anal. Mach. Intell., 2013

2011
On the Analysis of Multi-Channel Neural Spike Data.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Unsupervised classification of POLSAR data based on the polarimetric decomposition and the co-polarization ratio.
Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011

The Hierarchical Beta Process for Convolutional Factor Analysis and Deep Learning.
Proceedings of the 28th International Conference on Machine Learning, 2011

2010
Large margin nearest local mean classifier.
Signal Process., 2010

Bayesian Inference of the Number of Factors in Gene-Expression Analysis: Application to Human Virus Challenge Studies.
BMC Bioinform., 2010

Sparse linear regression with beta process priors.
Proceedings of the IEEE International Conference on Acoustics, 2010

2009
Large Margin Feature Weighting Method via Linear Programming.
IEEE Trans. Knowl. Data Eng., 2009

2008
Optimizing the data-dependent kernel under a unified kernel optimization framework.
Pattern Recognit., 2008

A kernel optimization method based on the localized kernel Fisher criterion.
Pattern Recognit., 2008

Adaptively Segmenting Angular Sectors for Radar HRRP Automatic Target Recognition.
EURASIP J. Adv. Signal Process., 2008

2007
Kernel subclass discriminant analysis.
Neurocomputing, 2007

An Efficient Kernel Optimization Method for Radar High-Resolution Range Profile Recognition.
EURASIP J. Adv. Signal Process., 2007

2006
Speeding Up SVM in Test Phase: Application to Radar HRRP ATR.
Proceedings of the Neural Information Processing, 13th International Conference, 2006

General Kernel Optimization Model Based on Kernel Fisher Criterion.
Proceedings of the Advances in Natural Computation, Second International Conference, 2006


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