General Kernel Optimization Model Based on Kernel Fisher Criterion. - Bo Chen 001; Hongwei Liu 001; Zheng Bao 001 (ICNC (1), 2006)

Speeding Up SVM in Test Phase: Application to Radar HRRP ATR. - Bo Chen 001; Hongwei Liu 001; Zheng Bao 001 (ICONIP (1), 2006)

An Efficient Kernel Optimization Method for Radar High-Resolution Range Profile Recognition. - Bo Chen 001; Hongwei Liu 001; Zheng Bao 001 (EURASIP J. Adv. Signal Process., 2007)

Kernel subclass discriminant analysis. - Bo Chen 001; Li Yuan; Hongwei Liu 001; Zheng Bao 001 (Neurocomputing, 2007)

Adaptively Segmenting Angular Sectors for Radar HRRP Automatic Target Recognition. - Bo Chen 001; Hongwei Liu 001; Li Yuan; Zheng Bao 001 (EURASIP J. Adv. Signal Process., 2008)

A kernel optimization method based on the localized kernel Fisher criterion. - Bo Chen 001; Hongwei Liu 001; Zheng Bao 001 (Pattern Recognit., 2008)

Optimizing the data-dependent kernel under a unified kernel optimization framework. - Bo Chen 001; Hongwei Liu 001; Zheng Bao 001 (Pattern Recognit., 2008)

Large Margin Feature Weighting Method via Linear Programming. - Bo Chen 001; Hongwei Liu 001; Jing Chai; Zheng Bao 001 (IEEE Trans. Knowl. Data Eng., 2009)

Sparse linear regression with beta process priors. - Bo Chen 001; John W. Paisley; Lawrence Carin (ICASSP, 2010)

Bayesian Inference of the Number of Factors in Gene-Expression Analysis: Application to Human Virus Challenge Studies. - Bo Chen 001; Minhua Chen; John W. Paisley; Aimee K. Zaas; Christopher W. Woods; Geoffrey S. Ginsburg; Alfred O. Hero III; Joseph E. Lucas; David B. Dunson; Lawrence Carin (BMC Bioinform., 2010)

Large margin nearest local mean classifier. - Jing Chai; Hongwei Liu 001; Bo Chen 001; Zheng Bao 001 (Signal Process., 2010)

The Hierarchical Beta Process for Convolutional Factor Analysis and Deep Learning. - Bo Chen 001; Gungor Polatkan; Guillermo Sapiro; David B. Dunson; Lawrence Carin (ICML, 2011)

Unsupervised classification of POLSAR data based on the polarimetric decomposition and the co-polarization ratio. - Shuang Wang 001; Jingjing Pei; Kun Liu 011; Shuang Zhang; Bo Chen 001 (IGARSS, 2011)

On the Analysis of Multi-Channel Neural Spike Data. - Bo Chen 001; David E. Carlson; Lawrence Carin (NIPS, 2011)

Deep Learning with Hierarchical Convolutional Factor Analysis. - Bo Chen 001; Gungor Polatkan; Guillermo Sapiro; David M. Blei; David B. Dunson; Lawrence Carin (IEEE Trans. Pattern Anal. Mach. Intell., 2013)

A Large Scene Deceptive Jamming Method for Space-Borne SAR. - Feng Zhou 001; Bo Zhao 006; Mingliang Tao; Xueru Bai; Bo Chen 001; Guangcai Sun (IEEE Trans. Geosci. Remote. Sens., 2013)

An improved three-component model-based decomposition for polarimetric SAR data. - Bo Chen 001; Licheng Jiao; Shuang Zhang (ICAILP, 2014)

Classification Method for Fully PolSAR Data Based on Three Novel Parameters. - Shuang Zhang; Shuang Wang 001; Bo Chen 001; Shasha Mao (IEEE Geosci. Remote. Sens. Lett., 2014)

A Fast Parallel Genetic Algorithm for Graph Coloring Problem Based on CUDA. - Buhua Chen; Bo Chen 001; Hongwei Liu 001; Xuefeng Zhang 003 (CyberC, 2015)

Max-margin similarity preserving factor analysis via Gibbs sampling. - Buhua Chen; Bo Chen 001; Hongwei Liu 001; Xuefeng Zhang 003 (MLSP, 2015)

The Poisson Gamma Belief Network. - Mingyuan Zhou; Yulai Cong; Bo Chen 001 (NIPS, 2015)

Modified Hybrid Freeman/Eigenvalue Decomposition for Polarimetric SAR Data. - Shuang Zhang; Shuang Wang 001; Bo Chen 001 (J. Sensors, 2015)

A Three-Component Fisher-Based Feature Weighting Method for Supervised PolSAR Image Classification. - Bo Chen 001; Shuang Wang 001; Licheng Jiao; Rustam Stolkin; Hongying Liu 001 (IEEE Geosci. Remote. Sens. Lett., 2015)

Weighted classifier ensemble based on quadratic form. - Shasha Mao; Licheng Jiao; Lin Xiong; Shuiping Gou; Bo Chen 001; Sai-Kit Yeung (Pattern Recognit., 2015)

Detection Probability of a CFAR Matched Filter with Signal Steering Vector Errors. - Jun Liu 004; Weijian Liu 001; Bo Chen 001; Hongwei Liu 001; Hongbin Li 001 (IEEE Signal Process. Lett., 2015)

Max-Margin Discriminant Projection via Data Augmentation. - Bo Chen 001; Hao Zhang 050; Xuefeng Zhang 003; Wei Wen; Hongwei Liu 001; Jun Liu 004 (IEEE Trans. Knowl. Data Eng., 2015)

Knowledge-Based Spatial-Temporal Hierarchical MIMO Radar Waveform Design Method for Target Detection in Heterogeneous Clutter Zone. - Bo Jiu; Hongwei Liu 001; Xu Wang; Lei Zhang 019; Yinghua Wang; Bo Chen 001 (IEEE Trans. Signal Process., 2015)

Prior Knowledge-Based Simultaneous Multibeam Power Allocation Algorithm for Cognitive Multiple Targets Tracking in Clutter. - Junkun Yan; Bo Jiu; Hongwei Liu 001; Bo Chen 001; Zheng Bao 001 (IEEE Trans. Signal Process., 2015)

Simultaneous Multibeam Resource Allocation Scheme for Multiple Target Tracking. - Junkun Yan; Hongwei Liu 001; Bo Jiu; Bo Chen 001; Zheng Liu 015; Zheng Bao 001 (IEEE Trans. Signal Process., 2015)

Performance analysis of a modified Rao test for adaptive subspace detection. - Jun Liu 004; Bo Chen 001; Hongwei Liu 001; Weijian Liu 001 (ICASSP, 2016)

Multiple scattering effects on the localization of two point scatterers. - Gang Shi; Arye Nehorai; Hongwei Liu 001; Bo Chen 001; Yuehai Wang (ICASSP, 2016)

SINR analysis in persymmetric adaptive processing. - Jun Liu 004; Hongwei Liu 001; Bo Chen 001; Xiang-Gen Xia 001 (SSP, 2016)

Augmentable Gamma Belief Networks. - Mingyuan Zhou; Yulai Cong; Bo Chen 001 (J. Mach. Learn. Res., 2016)

Convolutional Neural Network With Data Augmentation for SAR Target Recognition. - Jun Ding; Bo Chen 001; Hongwei Liu 001; Mengyuan Huang (IEEE Geosci. Remote. Sens. Lett., 2016)

Infinite max-margin factor analysis via data augmentation. - Xuefeng Zhang 003; Bo Chen 001; Hongwei Liu 001; Lei Zuo; Bo Feng (Pattern Recognit., 2016)

Performance of the SMI beamformer with signal steering vector errors in heterogeneous environments. - Jun Liu 004; Weijian Liu 001; Hongwei Liu 001; Zi-Jing Zhang; Bo Chen 001 (Signal Process., 2016)

Nonparametric Bayesian Attributed Scattering Center Extraction for Synthetic Aperture Radar Targets. - Yulai Cong; Bo Chen 001; Hongwei Liu 001; Bo Jiu (IEEE Trans. Signal Process., 2016)

Modified Rao Test for Multichannel Adaptive Signal Detection. - Jun Liu 004; Weijian Liu 001; Bo Chen 001; Hongwei Liu 001; Hongbin Li 001; Chengpeng Hao (IEEE Trans. Signal Process., 2016)

Average SINR Calculation of a Persymmetric Sample Matrix Inversion Beamformer. - Jun Liu 004; Weijian Liu 001; Hongwei Liu 001; Bo Chen 001; Xiang-Gen Xia 001; Fengzhou Dai (IEEE Trans. Signal Process., 2016)

Deep Latent Dirichlet Allocation with Topic-Layer-Adaptive Stochastic Gradient Riemannian MCMC. - Yulai Cong; Bo Chen 001; Hongwei Liu 001; Mingyuan Zhou (ICML, 2017)

Robust Variational Auto-Encoder for Radar HRRP Target Recognition. - Ying Zhai; Bo Chen 001; Hao Zhang 050; Zhengjue Wang (IScIDE, 2017)

Multiple-Instance feature extraction at the bag and instance levels using the maximum trace-difference criterion. - Jing Chai; Bo Chen 001; Fan Liu; Zehua Chen; Xinghao Ding (Inf. Sci., 2017)

Radar HRRP target recognition with deep networks. - Bo Feng; Bo Chen 001; Hongwei Liu 001 (Pattern Recognit., 2017)

Multimodal Poisson Gamma Belief Network. - Chaojie Wang 001; Bo Chen 001; Mingyuan Zhou (AAAI, 2018)

WHAI: Weibull Hybrid Autoencoding Inference for Deep Topic Modeling. - Hao Zhang 050; Bo Chen 001; Dandan Guo; Mingyuan Zhou (ICLR (Poster), 2018)

Radar HRRP Target Recognition with Recurrent Convolutional Neural Networks. - Mengqi Shen; Bo Chen 001 (IScIDE, 2018)

Wavelet Autoencoder for Radar HRRP Target Recognition with Recurrent Neural Network. - Mengjiao Zhang; Bo Chen 001 (IScIDE, 2018)

Deep Poisson gamma dynamical systems. - Dandan Guo; Bo Chen 001; Hao Zhang 050; Mingyuan Zhou (NeurIPS, 2018)

Robust Attack on Deep Learning based Radar HRRP Target Recognition. - Yijun Yuan; Jinwei Wan; Bo Chen 001 (APSIPA, 2019)

Convolutional Poisson Gamma Belief Network. - Chaojie Wang 001; Bo Chen 001; Sucheng Xiao; Mingyuan Zhou (ICML, 2019)

A Video Streaming Transmission Scheme Based on Frame Priority in Device-to-Device Multicast Networks. - Qiqi Ren; Jian Chen 002; Bo Chen 001; Li Jin (IEEE Access, 2019)

Memorized Variational Continual Learning for Dirichlet Process Mixtures. - Yang Yang 072; Bo Chen 001; Hongwei Liu 001 (IEEE Access, 2019)

Variational Hetero-Encoder Randomized Generative Adversarial Networks for Joint Image-Text Modeling. - Hao Zhang 050; Bo Chen 001; Long Tian; Zhengjue Wang; Mingyuan Zhou (CoRR, 2019)

Recurrent Hierarchical Topic-Guided Neural Language Models. - Dandan Guo; Bo Chen 001; Ruiying Lu; Mingyuan Zhou (CoRR, 2019)

Convolutional neural networks for radar HRRP target recognition and rejection. - Jinwei Wan; Bo Chen 001; Bin Xu; Hongwei Liu 001; Lin Jin (EURASIP J. Adv. Signal Process., 2019)

Factorized discriminative conditional variational auto-encoder for radar HRRP target recognition. - Chuan Du; Bo Chen 001; Bin Xu; Dandan Guo; Hongwei Liu 001 (Signal Process., 2019)

Long short-term memory-based recurrent neural networks for nonlinear target tracking. - Chang Gao 004; Junkun Yan; Shenghua Zhou; Bo Chen 001; Hongwei Liu 001 (Signal Process., 2019)

Variational probabilistic generative framework for single image super-resolution. - Zhengjue Wang; Bo Chen 001; Hao Zhang 050; Hongwei Liu 001 (Signal Process., 2019)

Target-Aware Recurrent Attentional Network for Radar HRRP Target Recognition. - Bin Xu; Bo Chen 001; Jinwei Wan; Hongwei Liu 001; Lin Jin (Signal Process., 2019)

Deep Max-Margin Discriminant Projection. - Hao Zhang 050; Bo Chen 001; Zhengjue Wang; Hongwei Liu 001 (IEEE Trans. Cybern., 2019)

Noise-Robust Motion Compensation for Aerial Maneuvering Target ISAR Imaging by Parametric Minimum Entropy Optimization. - Jiadong Wang; Lei Zhang 019; Lan Du 001; Dongwen Yang; Bo Chen 001 (IEEE Trans. Geosci. Remote. Sens., 2019)

Learning Dynamic Hierarchical Topic Graph with Graph Convolutional Network for Document Classification. - Zhengjue Wang; Chaojie Wang 001; Hao Zhang 050; Zhibin Duan; Mingyuan Zhou; Bo Chen 001 (AISTATS, 2020)

BIRNAT: Bidirectional Recurrent Neural Networks with Adversarial Training for Video Snapshot Compressive Imaging. - Ziheng Cheng; Ruiying Lu; Zhengjue Wang; Hao Zhang 050; Bo Chen 001; Ziyi Meng; Xin Yuan 002 (ECCV (24), 2020)

Friendly Topic Assistant for Transformer Based Abstractive Summarization. - Zhengjue Wang; Zhibin Duan; Hao Zhang 050; Chaojie Wang 001; Long Tian; Bo Chen 001; Mingyuan Zhou (EMNLP (1), 2020)

Variational Hetero-Encoder Randomized GANs for Joint Image-Text Modeling. - Hao Zhang 050; Bo Chen 001; Long Tian; Zhengjue Wang; Mingyuan Zhou (ICLR, 2020)

Recurrent Hierarchical Topic-Guided RNN for Language Generation. - Dandan Guo; Bo Chen 001; Ruiying Lu; Mingyuan Zhou (ICML, 2020)

Memory-Based Neural Network for Radar HRRP Noncooperative Target Recognition. - Ying Jia; Bo Chen 001; Long Tian; Wenchao Chen; Hongwei Liu 001 (SAM, 2020)

Meta Network for Radar HRRP Noncooperative Target Recognition with Missing Aspects. - Long Tian; Bo Chen 001; Yang Peng; Chuan Du; Zhenhua Wu; Hongwei Liu 001 (IGARSS, 2020)

Switching Poisson Gamma Dynamical Systems. - Wenchao Chen; Bo Chen 001; Yicheng Liu; Qianru Zhao; Mingyuan Zhou (IJCAI, 2020)

Bidirectional Convolutional Poisson Gamma Dynamical Systems. - Wenchao Chen; Chaojie Wang 001; Bo Chen 001; Yicheng Liu; Hao Zhang 050; Mingyuan Zhou (NeurIPS, 2020)

Bayesian Attention Modules. - Xinjie Fan; Shujian Zhang; Bo Chen 001; Mingyuan Zhou (NeurIPS, 2020)

Deep Relational Topic Modeling via Graph Poisson Gamma Belief Network. - Chaojie Wang 001; Hao Zhang 050; Bo Chen 001; Dongsheng Wang 003; Zhengjue Wang; Mingyuan Zhou (NeurIPS, 2020)

Recognizing the HRRP by Combining CNN and BiRNN With Attention Mechanism. - Jinwei Wan; Bo Chen 001; Yingqi Liu; Yijun Yuan; Hongwei Liu 001; Lin Jin (IEEE Access, 2020)

The Performance Analysis of Signal Recognition Using Attention Based CNN Method. - Zan Yin; Bo Chen 001; Weimin Zhen; Chaojie Wang 001; Ting Zhang (IEEE Access, 2020)

Packet-Based Intrusion Detection Using Bayesian Topic Models in Mobile Edge Computing. - Xuefei Cao; Yulong Fu; Bo Chen 001 (Secur. Commun. Networks, 2020)

RAFnet: Recurrent attention fusion network of hyperspectral and multispectral images. - Ruiying Lu; Bo Chen 001; Ziheng Cheng; Penghui Wang (Signal Process., 2020)

FusionNet: An Unsupervised Convolutional Variational Network for Hyperspectral and Multispectral Image Fusion. - Zhengjue Wang; Bo Chen 001; Ruiying Lu; Hao Zhang 050; Hongwei Liu 001; Pramod K. Varshney (IEEE Trans. Image Process., 2020)

Variational Temporal Deep Generative Model for Radar HRRP Target Recognition. - Dandan Guo; Bo Chen 001; Wenchao Chen; Chaojie Wang 001; Hongwei Liu 001; Mingyuan Zhou (IEEE Trans. Signal Process., 2020)

EnsLM: Ensemble Language Model for Data Diversity by Semantic Clustering. - Zhibin Duan; Hao Zhang 050; Chaojie Wang 001; Zhengjue Wang; Bo Chen 001; Mingyuan Zhou (ACL/IJCNLP (1), 2021)

Memory-Efficient Network for Large-Scale Video Compressive Sensing. - Ziheng Cheng; Bo Chen 001; Guanliang Liu; Hao Zhang 050; Ruiying Lu; Zhengjue Wang; Xin Yuan 002 (CVPR, 2021)

MetaSCI: Scalable and Adaptive Reconstruction for Video Compressive Sensing. - Zhengjue Wang; Hao Zhang 050; Ziheng Cheng; Bo Chen 001; Xin Yuan 002 (CVPR, 2021)

Sawtooth Factorial Topic Embeddings Guided Gamma Belief Network. - Zhibin Duan; Dongsheng Wang 003; Bo Chen 001; Chaojie Wang 001; Wenchao Chen; Yewen Li; Jie Ren; Mingyuan Zhou (ICML, 2021)

Bayesian Attention Belief Networks. - Shujian Zhang; Xinjie Fan; Bo Chen 001; Mingyuan Zhou (ICML, 2021)

TopicNet: Semantic Graph-Guided Topic Discovery. - Zhibin Duan; Yishi Xu; Bo Chen 001; Dongsheng Wang 003; Chaojie Wang 001; Mingyuan Zhou (NeurIPS, 2021)

A Prototype-Oriented Framework for Unsupervised Domain Adaptation. - Korawat Tanwisuth; Xinjie Fan; Huangjie Zheng; Shujian Zhang; Hao Zhang 050; Bo Chen 001; Mingyuan Zhou (NeurIPS, 2021)

Dual-view Snapshot Compressive Imaging via Optical Flow Aided Recurrent Neural Network. - Ruiying Lu; Bo Chen 001; Guanliang Liu; Ziheng Cheng; Mu Qiao; Xin Yuan 002 (Int. J. Comput. Vis., 2021)

Deep Autoencoding Topic Model With Scalable Hybrid Bayesian Inference. - Hao Zhang 050; Bo Chen 001; Yulai Cong; Dandan Guo; Hongwei Liu 001; Mingyuan Zhou (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Bidirectional recurrent gamma belief network for HRRP target recognition. - Wenchao Chen; Bo Chen 001; Yicheng Liu; Xiaojun Peng; Haoyang Fan; Fangxu Yu; Hongwei Liu 001 (Signal Process., 2021)

Region-factorized recurrent attentional network with deep clustering for radar HRRP target recognition. - Chuan Du; Long Tian; Bo Chen 001; Lei Zhang 019; Wenchao Chen; Hongwei Liu 001 (Signal Process., 2021)

Domain-aware meta network for radar HRRP target recognition with missing aspects. - Long Tian; Bo Chen 001; Wenchao Chen; Yishi Xu; Hongwei Liu 001 (Signal Process., 2021)

Generalized zero-shot classification via iteratively generating and selecting unseen samples. - Xiao Li 008; Min Fang; Bo Chen 001 (Signal Process. Image Commun., 2021)

LCS-EnsemNet: A Semisupervised Deep Neural Network for SAR Image Change Detection With Dual Feature Extraction and Label-Consistent Self-Ensemble. - Jian Wang 114; Yinghua Wang; Bo Chen 001; Hongwei Liu 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

SAR Automatic Target Recognition Based on Supervised Deep Variational Autoencoding Model. - Dandan Guo; Bo Chen 001; Meixi Zheng; Hongwei Liu 001 (IEEE Trans. Aerosp. Electron. Syst., 2021)

Tensor RNN With Bayesian Nonparametric Mixture for Radar HRRP Modeling and Target Recognition. - Wenchao Chen; Bo Chen 001; Xiaojun Peng; Jiaqi Liu; Yang Yang 072; Hao Zhang 050; Hongwei Liu 001 (IEEE Trans. Signal Process., 2021)

Representing Mixtures of Word Embeddings with Mixtures of Topic Embeddings. - Dongsheng Wang 003; Dandan Guo; He Zhao 001; Huangjie Zheng; Korawat Tanwisuth; Bo Chen 001; Mingyuan Zhou (ICLR, 2022)

Deep Variational Graph Convolutional Recurrent Network for Multivariate Time Series Anomaly Detection. - Wenchao Chen; Long Tian; Bo Chen 001; Liang Dai; Zhibin Duan; Mingyuan Zhou (ICML, 2022)

Bayesian Deep Embedding Topic Meta-Learner. - Zhibin Duan; Yishi Xu; Jianqiao Sun; Bo Chen 001; Wenchao Chen; Chaojie Wang 001; Mingyuan Zhou (ICML, 2022)

Switching Gaussian Mixture Variational RNN for Anomaly Detection of Diverse CDN Websites. - Liang Dai; Wenchao Chen; Yanwei Liu 001; Antonios Argyriou; Chang Liu; Tao Lin 001; Penghui Wang; Zhen Xu 009; Bo Chen 001 (INFOCOM, 2022)

Knowledge-Aware Bayesian Deep Topic Model. - Dongsheng Wang 003; Yishi Xu; Miaoge Li; Zhibin Duan; Chaojie Wang 001; Bo Chen 001; Mingyuan Zhou (NeurIPS, 2022)

A Variational Edge Partition Model for Supervised Graph Representation Learning. - Yilin He; Chaojie Wang 001; Hao Zhang 050; Bo Chen 001; Mingyuan Zhou (NeurIPS, 2022)

Alleviating "Posterior Collapse" in Deep Topic Models via Policy Gradient. - Yewen Li; Chaojie Wang 001; Zhibin Duan; Dongsheng Wang 003; Bo Chen 001; Bo An 001; Mingyuan Zhou (NeurIPS, 2022)

HyperMiner: Topic Taxonomy Mining with Hyperbolic Embedding. - Yishi Xu; Dongsheng Wang 003; Bo Chen 001; Ruiying Lu; Zhibin Duan; Mingyuan Zhou (NeurIPS, 2022)

Ordinal Graph Gamma Belief Network for Social Recommender Systems. - Dongsheng Wang 003; Chaojie Wang 001; Bo Chen 001; Mingyuan Zhou (CoRR, 2022)

Matching Visual Features to Hierarchical Semantic Topics for Image Paragraph Captioning. - Dandan Guo; Ruiying Lu; Bo Chen 001; Zequn Zeng; Mingyuan Zhou (Int. J. Comput. Vis., 2022)

Intelligent multiframe detection aided by Doppler information and a deep neural network. - Chang Gao 004; Junkun Yan; Xiaojun Peng; Bo Chen 001; Hong-Wei Liu 001 (Inf. Sci., 2022)

Heterogeneity-Aware Recurrent Neural Network for Hyperspectral and Multispectral Image Fusion. - Ruiying Lu; Bo Chen 001; Jianqiao Sun; Wenchao Chen; Penghui Wang; Yuanwei Chen; Hongwei Liu 001; Pramod K. Varshney (IEEE J. Sel. Top. Signal Process., 2022)

Fast C&W: A Fast Adversarial Attack Algorithm to Fool SAR Target Recognition With Deep Convolutional Neural Networks. - Chuan Du; Chaoying Huo; Lei Zhang 019; Bo Chen 001; Yijun Yuan (IEEE Geosci. Remote. Sens. Lett., 2022)

An active unseen sample selection framework for generalized zero-shot classification. - Xiao Li 008; Min Fang; Bo Chen 001 (Int. J. Mach. Learn. Cybern., 2022)

Generalized zero-shot domain adaptation with target unseen class prototype learning. - Xiao Li 008; Min Fang; Bo Chen 001 (Neural Comput. Appl., 2022)

Bayesian compression for dynamically expandable networks. - Yang Yang 072; Bo Chen 001; Hongwei Liu 001 (Pattern Recognit., 2022)

Unsupervised Radar Target Detection under Complex Clutter Background Based on Mixture Variational Autoencoder. - Xueling Liang; Bo Chen 001; Wenchao Chen; Penghui Wang; Hongwei Liu 001 (Remote. Sens., 2022)

Robust Multiple-Measurement Sparsity-Aware STAP with Bayesian Variational Autoencoder. - Chenxi Zhang; Huiliang Zhao; Wenchao Chen; Bo Chen 001; Penghui Wang; Changrui Jia; Hongwei Liu 001 (Remote. Sens., 2022)

Open set HRRP recognition with few samples based on multi-modality prototypical networks. - Long Tian; Bo Chen 001; Zekun Guo; Chuan Du; Yang Peng; Hongwei Liu 001 (Signal Process., 2022)

Multi-scale visual attention for attribute disambiguation in zero-shot learning. - Long Tian; Bo Chen 001; Jie Ren; Hao Zhang 050; Zhenhua Wu; Ning Han; Yuanwei Chen; Hongwei Liu 001 (Signal Process. Image Commun., 2022)

Max-Margin Deep Diverse Latent Dirichlet Allocation With Continual Learning. - Wenchao Chen; Bo Chen 001; Yingqi Liu; Xuefei Cao; Qianru Zhao; Hao Zhang 050; Long Tian (IEEE Trans. Cybern., 2022)

Multimodal Weibull Variational Autoencoder for Jointly Modeling Image-Text Data. - Chaojie Wang 001; Bo Chen 001; Sucheng Xiao; Zhengjue Wang; Hao Zhang 050; Penghui Wang; Ning Han; Mingyuan Zhou (IEEE Trans. Cybern., 2022)

Infinite Bayesian Max-Margin Discriminant Projection. - Wei Wen; Bo Chen 001; Xuefei Cao; Xuefeng Zhang 003; Zhengjue Wang; Hongwei Liu 001 (IEEE Trans. Cybern., 2022)

Attitude and Size Estimation of Satellite Targets Based on ISAR Image Interpretation. - Jiadong Wang; Lan Du 001; Yachao Li; Guoxin Lyu; Bo Chen 001 (IEEE Trans. Geosci. Remote. Sens., 2022)

Unsupervised Hyperspectral and Multispectral Images Fusion Based on Nonlinear Variational Probabilistic Generative Model. - Zhengjue Wang; Bo Chen 001; Hao Zhang 050; Hongwei Liu 001 (IEEE Trans. Neural Networks Learn. Syst., 2022)

Infinite Switching Dynamic Probabilistic Network With Bayesian Nonparametric Learning. - Wenchao Chen; Bo Chen 001; Yicheng Liu; Chaojie Wang 001; Xiaojun Peng; Hongwei Liu 001; Mingyuan Zhou (IEEE Trans. Signal Process., 2022)

ConZIC: Controllable Zero-shot Image Captioning by Sampling-Based Polishing. - Zequn Zeng; Hao Zhang 050; Ruiying Lu; Dongsheng Wang 003; Bo Chen 001; Zhengjue Wang (CVPR, 2023)

PatchCT: Aligning Patch Set and Label Set with Conditional Transport for Multi-Label Image Classification. - Miaoge Li; Dongsheng Wang 003; Xinyang Liu; Zequn Zeng; Ruiying Lu; Bo Chen 001; Mingyuan Zhou (ICCV, 2023)

Prototypes-oriented Transductive Few-shot Learning with Conditional Transport. - Long Tian; Jingyi Feng; Xiaoqiang Chai; Wenchao Chen; Liming Wang; Xiyang Liu; Bo Chen 001 (ICCV, 2023)

Bayesian Progressive Deep Topic Model with Knowledge Informed Textual Data Coarsening Process. - Zhibin Duan; Xinyang Liu; Yudi Su; Yishi Xu; Bo Chen 001; Mingyuan Zhou (ICML, 2023)

Prototype-oriented unsupervised anomaly detection for multivariate time series. - Yuxin Li 003; Wenchao Chen; Bo Chen 001; Dongsheng Wang 003; Long Tian; Mingyuan Zhou (ICML, 2023)

Tuning Multi-mode Token-level Prompt Alignment across Modalities. - Dongsheng Wang 003; Miaoge Li; Xinyang Liu; Mingsheng Xu; Bo Chen 001; Hanwang Zhang (NeurIPS, 2023)

Few-shot Generation via Recalling Brain-Inspired Episodic-Semantic Memory. - Zhibin Duan; Zhiyi Lv; Chaojie Wang 001; Bo Chen 001; Bo An 001; Mingyuan Zhou (NeurIPS, 2023)

Hierarchical Vector Quantized Transformer for Multi-class Unsupervised Anomaly Detection. - Ruiying Lu; Yujie Wu; Long Tian; Dongsheng Wang 003; Bo Chen 001; Xiyang Liu; Ruimin Hu (NeurIPS, 2023)

Context-guided Embedding Adaptation for Effective Topic Modeling in Low-Resource Regimes. - Yishi Xu; Jianqiao Sun; Yudi Su; Xinyang Liu; Zhibin Duan; Bo Chen 001; Mingyuan Zhou (NeurIPS, 2023)

Patch-Token Aligned Bayesian Prompt Learning for Vision-Language Models. - Xinyang Liu; Dongsheng Wang 003; Miaoge Li; Zhibin Duan; Yishi Xu; Bo Chen 001; Mingyuan Zhou (CoRR, 2023)

Recurrent Neural Networks for Snapshot Compressive Imaging. - Ziheng Cheng; Bo Chen 001; Ruiying Lu; Zhengjue Wang; Hao Zhang 050; Ziyi Meng; Xin Yuan 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Suspicious Object Detection for Millimeter-Wave Images With Multi-View Fusion Siamese Network. - Dandan Guo; Long Tian; Chuan Du; Pengfei Xie; Bo Chen 001; Lei Zhang 019 (IEEE Trans. Image Process., 2023)

Generative Text Convolutional Neural Network for Hierarchical Document Representation Learning. - Chaojie Wang 001; Bo Chen 001; Zhibin Duan; Wenchao Chen; Hao Zhang 050; Mingyuan Zhou (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Learning Hierarchical Document Graphs From Multilevel Sentence Relations. - Hao Zhang 050; Chaojie Wang 001; Zhengjue Wang; Zhibin Duan; Bo Chen 001; Mingyuan Zhou; Ricardo Henao; Lawrence Carin (IEEE Trans. Neural Networks Learn. Syst., 2023)

Multiscale Visual-Attribute Co-Attention for Zero-Shot Image Recognition. - Hao Zhang 050; Long Tian; Zhengjue Wang; Yishi Xu; Pengyu Cheng; Ke Bai 001; Bo Chen 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Data association for maneuvering targets through a combined siamese network and XGBoost model. - Chang Gao 004; Junkun Yan; Bo Chen 001; Pramod K. Varshney; Tianyi Jia; Hongwei Liu 001 (Signal Process., 2023)

Considering Nonstationary within Multivariate Time Series with Variational Hierarchical Transformer for Forecasting. - Muyao Wang; Wenchao Chen; Bo Chen 001 (AAAI, 2024)

MeaCap: Memory-Augmented Zero-shot Image Captioning. - Zequn Zeng; Yan Xie; Hao Zhang 050; Chiyu Chen; Bo Chen 001; Zhengjue Wang (CVPR, 2024)

Instruction Tuning-Free Visual Token Complement for Multimodal LLMs. - Dongsheng Wang 003; Jiequan Cui; Miaoge Li; Wang Lin; Bo Chen 001; Hanwang Zhang (ECCV (81), 2024)

Transformer-Modulated Diffusion Models for Probabilistic Multivariate Time Series Forecasting. - Yuxin Li 003; Wenchao Chen; Xinyue Hu; Bo Chen 001; Baolin Sun; Mingyuan Zhou (ICLR, 2024)

Vague Prototype-Oriented Diffusion Model for Multi-Class Anomaly Detection. - Yuxin Li 003; Yaoxuan Feng; Bo Chen 001; Wenchao Chen; Yubiao Wang; Xinyue Hu; Baolin Sun; Chunhui Qu; Mingyuan Zhou (ICML, 2024)

HICEScore: A Hierarchical Metric for Image Captioning Evaluation. - Zequn Zeng; Jianqiao Sun; Hao Zhang 050; Tiansheng Wen; Yudi Su; Yan Xie; Zhengjue Wang; Bo Chen 001 (ACM Multimedia, 2024)

Patch-Prompt Aligned Bayesian Prompt Tuning for Vision-Language Models. - Xinyang Liu; Dongsheng Wang 003; Bowei Fang; Miaoge Li; Yishi Xu; Zhibin Duan; Bo Chen 001; Mingyuan Zhou (UAI, 2024)

keqing: knowledge-based question answering is a nature chain-of-thought mentor of LLM. - Chaojie Wang 001; Yishi Xu; Zhong Peng; Chenxi Zhang; Bo Chen 001; Xinrun Wang; Lei Feng 006; Bo An 001 (CoRR, 2024)

SnapCap: Efficient Snapshot Compressive Video Captioning. - Jianqiao Sun; Yudi Su; Hao Zhang 050; Ziheng Cheng; Zequn Zeng; Zhengjue Wang; Bo Chen 001; Xin Yuan 002 (CoRR, 2024)

Contrastive Factor Analysis. - Zhibin Duan; Tiansheng Wen; Yifei Wang; Chen Zhu; Bo Chen 001; Mingyuan Zhou (CoRR, 2024)

A Non-negative VAE:the Generalized Gamma Belief Network. - Zhibin Duan; Tiansheng Wen; Muyao Wang; Bo Chen 001; Mingyuan Zhou (CoRR, 2024)

Disentangled Generative Graph Representation Learning. - Xinyue Hu; Zhibin Duan; Xinyang Liu; Yuxin Li 003; Bo Chen 001; Mingyuan Zhou (CoRR, 2024)

Treating Brain-inspired Memories as Priors for Diffusion Model to Forecast Multivariate Time Series. - Muyao Wang; Wenchao Chen; Zhibin Duan; Bo Chen 001 (CoRR, 2024)

Scalable Weibull Graph Attention Autoencoder for Modeling Document Networks. - Chaojie Wang 001; Xinyang Liu; Dongsheng Wang 003; Hao Zhang 050; Bo Chen 001; Mingyuan Zhou (CoRR, 2024)

An adaptive class prototype generation framework for partial label learning. - Haixiang Li; Min Fang; Xiao Li 008; Bo Chen 001 (Eng. Appl. Artif. Intell., 2024)

Selective-generative feature representations for generalized zero-shot open-set classification by learning a tightly clustered space. - Xiao Li 008; Min Fang; Haikun Li; Bo Chen 001 (Expert Syst. Appl., 2024)

Hierarchical Topic-Aware Contextualized Transformers. - Ruiying Lu; Bo Chen 001; Dandan Guo; Dongsheng Wang 003; Mingyuan Zhou (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

Denoising matrix factorization for high-dimensional time series forecasting. - Bo Chen 001; Min Fang; Xiao Li 008 (Neural Comput. Appl., 2024)

IfCMD: A Novel Method for Radar Target Detection under Complex Clutter Backgrounds. - Chenxi Zhang; Yishi Xu; Wenchao Chen; Bo Chen 001; Chang Gao 004; Hongwei Liu 001 (Remote. Sens., 2024)

Discriminative shapelet learning via temporal clustering and matrix factorization. - Bo Chen 001; Min Fang; Guizhi Wang (Appl. Intell., 2024)

Motion-Aware Dynamic Graph Neural Network for Video Compressive Sensing. - Ruiying Lu; Ziheng Cheng; Bo Chen 001; Xin Yuan 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Discovering Fine-Grained Visual-Concept Relations by Disentangled Optimal Transport Concept Bottleneck Models. - Yan Xie; Zequn Zeng; Hao Zhang 050; Yucheng Ding; Yi Wang; Zhengjue Wang; Bo Chen 001; Hongwei Liu 001 (CVPR, 2025)

Explaining Domain Shifts in Language: Concept Erasing for Interpretable Image Classification. - Zequn Zeng; Yudi Su; Jianqiao Sun; Tiansheng Wen; Hao Zhang; Zhengjue Wang; Bo Chen 001; Hongwei Liu; Jiawei Ma (CVPR, 2025)

A Prompter Guided Distribution Matching for Zero-Shot SAR ATR. - Chunhui Qu; Yujia Gan; Yaoqing Li; Long Tian; Ting Zhang; Mengqi Shen; Bo Chen 001 (IEEE Geosci. Remote. Sens. Lett., 2025)

Robust Imaging of Aerial Targets With Maneuvering Trajectory Based on Multioptimization Strategies Under a Spaceborne SAR/ISAR Hybrid Mode. - Zhiqiang Wan; Shuai Shao; Jiabo Fan; Gang Xu 002; Bo Chen 001 (IEEE Geosci. Remote. Sens. Lett., 2025)

Continual learning with Bayesian compression for shared and private latent representations. - Yang Yang 072; Dandan Guo; Bo Chen 001; Dexiu Hu (Neural Networks, 2025)

Supervised contrastive deep Q-Network for imbalanced radar automatic target recognition. - Guanliang Liu; Wenchao Chen; Bo Chen 001; Bo Feng; Penghui Wang; Hongwei Liu 001 (Pattern Recognit., 2025)

Beyond Matryoshka: Revisiting Sparse Coding for Adaptive Representation. - Tiansheng Wen; Yifei Wang; Zequn Zeng; Zhong Peng; Yudi Su; Xinyang Liu; Bo Chen 001; Hongwei Liu; Stefanie Jegelka; Chenyu You (CoRR, 2025)

Explaining Domain Shifts in Language: Concept erasing for Interpretable Image Classification. - Zequn Zeng; Yudi Su; Jianqiao Sun; Tiansheng Wen; Hao Zhang 050; Zhengjue Wang; Bo Chen 001; Hongwei Liu; Jiawei Ma (CoRR, 2025)

AOT: Aggregation Optimal Transport for Few-Shot SAR Automatic Target Recognition. - Yuxin Li 003; Wenchao Chen; Xinyue Hu; Bo Chen 001; Dongsheng Wang 003; Chunhui Qu; Fei Meng; Penghui Wang; Hongwei Liu 001 (IEEE Trans. Aerosp. Electron. Syst., 2025)

Advancing Hyperspectral and Multispectral Image Fusion: An Information-Aware Transformer-Based Unfolding Network. - Jianqiao Sun; Bo Chen 001; Ruiying Lu; Ziheng Cheng; Chunhui Qu; Xin Yuan 002 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer. - Xinyue Hu; Zhibin Duan; Bo Chen 001; Mingyuan Zhou (CoRR, 2025)

Implicit Neural Representation With Imaging Geometry for SAR Target Recognition. - Ziheng Cheng; Yucheng Ding; Chunhui Qu; Bo Chen 001 (IEEE Trans. Aerosp. Electron. Syst., 2025)

Learning transferable representations by topic guided graph adversarial network. - Zhengjue Wang; Zhihui Xin; Chiyu Chen; Hao Zhang 050; Yuhao Huang; Yunsong Li 001; Hongwei Liu 001; Bo Chen 001 (Signal Process., 2026)