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Selected Publications
  1. Zhengjue Wang, Chaojie Wang, Hao Zhang, Zhibin Duan, Mingyuan Zhou, and Bo Chen*, Learning dynamic hierarchical topic graph with graph convolutional network for document classification, International Conference on Artificial Intelligence and Statistics (AISTATS2020), Palermo, Sicily, Italy, June 2020.

  2. Hao Zhang, Bo Chen*, Long Tian, Zhengjue Wang and Mingyuan Zhou, Variational Hetero-Encoder Randomized GANs for Joint Image-Text Modeling, in International Conference on Learning Representations (ICLR), Addis Ababa ETHIOPIA, May 2020.

  3. Chaojie Wang, Bo Chen*, Sucheng Xiao, and Mingyuan Zhou, Convolutional Poisson Gamma Belief Network, to appear in International Conference on Machine Learning (ICML), Long Beach, CA, USA, June 2019. [Code]

  4. Jinwei Wan, Bo Chen*, Bin Xu, Hongwei Liu and Lin Jin, Convolutional Neural Networks for Radar HRRP Target Recognition and Rejection, EURASIP, 2019(1):5, 2019.

  5. Chuan Du, Bo Chen*, Hongwei Liu and Bin Xu, Factorized Discriminative Conditional Variational Auto-encoder for Radar HRRP Target Recognition, Signal Processing, 158, 176-189, 2019.

  6. Zhengjue Wang, Bo Chen*, Hao Zhang and Hongwei Liu, Variational Probabilistic Generative Framework for Single Image Super-Resolution, Signal Processing, 156, 92-105, 2019.

  7. Bin Xu, Bo Chen*, Jinwei Wan, Hongwei Liu, and Lin Jin, Target-Aware Recurrent Attentional Network for Radar HRRP Target Recognition, Signal Processing, 155, 268-280, 2019.

  8. Dandan Guo, Bo Chen*, Hao Zhang, and Mingyuan Zhou, Deep Poisson Gamma Dynamic Systems, to appear in Advances in Neural Information Processing Systems (NIPS), 2018, Montreal, Canada.

  9. Hao Zhang, Bo Chen*, Zhengjue Wang, and Hongwei Liu, Deep Max-Margin Discriminant Projection, IEEE Transactions on Cybernetics, Vol. 49, No. 7, 2454-2466, July 2019.

  10. Hao Zhang, Bo Chen*, Dandan Guo, and Mingyuan Zhou, WHAI: Weibull hybrid autoencoding inference for deep topic modeling, to appear in International Conference on Learning Representations (ICLR), Vancouver, Canada, May 2018. [Code]
  11. Chaojie Wang, Bo Chen*, Hongwei Liu, and Mingyuan Zhou, Multimodal Poisson Gamma Belief Network, to appear in the Thirty-Second AAAI Conference on Artificial Intelligence (AAAI), New Orleans, Lousiana, USA, Feburary 2018. [Code]
  12. Yulai Cong, Bo Chen*, Hongwei Liu, and Mingyuan Zhou, Deep latent Dirichlet allocation with topic-layer-adaptive stochastic gradient Riemannian MCMC, to appear in International Conference on Machine Learning (ICML), Sydney, Australia, August 2017.
  13. Yulai Cong, Bo Chen*, and Mingyuan Zhou, Fast simulation of hyperplane-truncated multivariate normal distributions, Bayesian Analysis, Vol. 12, No. 4, pp: 1017-1037, 2017. [Code]
  14. Bo Feng, Bo Chen* and Hongwei Liu, Radar HRRP target recognition with deep networks, Pattern Recognition 61, 379-393, 2017.
  15. Jing Chai, Bo Chen, Fan Liu, Zehua Chen, Xinghao Ding. Multiple-Instance Feature Extraction at the Bag and Instance Levels Using the Maximum-Trace Difference Criterion. Information Sciences: 2017 ,385-386 ,353-377.
  16. Mingyuan Zhou*, Yulai Cong, and Bo Chen*, Augmentable gamma belief networks, Journal of Machine Learning Research,17(163), 1-44, 2016.
  17. Yulai Cong, Bo Chen*, Hongwei Liu, Bo Jiu. Nonparametric Bayesian Attributed Scattering Center Extraction for Synthetic Aperture Radar Targets. IEEE Transactions on Signal Processing, 2016. Accepted for publication.

  18. Jun Ding, Bo Chen*, Hongwei Liu, Mengyuan Huang, Convolutional Neural Network With Data Augmentation for SAR Target Recognition, IEEE Geoscience and Remote Sensing Letters, 10.1109/LGRS.2015.2513754.

  19. Xuefeng Zhang, Bo Chen*, Hongwei Liu, Lei Zuo, and Bo Feng, Infinite max-margin factor analysis via data augmentation. Pattern Recognition 52, 17-32, 2016.
  20. Hongwei Liu, Bo Feng, Bo Chen*, Lan Du, Radar high-resolution range profiles target recognition based on stable dictionary learning, IET Radar, Sonar & Navigation, Vol. 10, Iss. 2, pp. 228–237, 2016.

  21. Mingyuan Zhou, Yulai Cong, Bo Chen, The Poisson Gamma Belief Network, Advances in Neural Information Processing Systems (NIPS). 3025-3033, 2015, Montreal, Canada.
  22. Junkun Yan, Hongwei Liu, Bo Jiu, Bo Chen, Zheng Liu, Zheng Bao: Simultaneous Multibeam Resource Allocation Scheme for Multiple Target Tracking. IEEE Transactions on Signal Processing, 63(12): 3110-3122, 2015. (Impact Factor: 3.2)
  23. Bo Chen, Hao Zhang, Xuefeng Zhang, Wei Wen, Hongwei Liu and Jun Liu, Max-Margin Discriminant Projection via Data Augmentation, IEEE Transactions on Knowledge and Data Engineering, 27(7), 1964-1976, 2015.(Impact Factor: 1.8)
  24. Bo Jiu, Hongwei Liu, Xu Wang, Lei Zhang, Yinghua Wang, Bo Chen, Knowledge-Based Spatial-Temporal Hierarchical MIMO Radar Waveform Design Method for Target Detection in Heterogeneous Clutter Zone, IEEE Transactions on Signal Processing, 63(3), 543-554, 2015.(Impact Factor: 3.2)
  25. Junkun Yan, Bo Jiu, Hongwei Liu, Bo Chen, Zheng Bao: Prior Knowledge-Based Simultaneous Multibeam Power Allocation Algorithm for Cognitive Multiple Targets Tracking in Clutter. IEEE Transactions on Signal Processing, 63(2): 512-527, 2015.(Impact Factor: 3.2)
  26. Raymond J. Langley, Ephraim L. Tsalik, Jennifer C. van Velkinburgh, Seth W. Glickman, Brandon J. Rice, Chunping Wang, Bo Chen, Lawrence Carin, Arturo Suarez, Robert P. Mohney, Debra H. Freeman, Mu Wang, Jinsam You, Jacob Wulff, J. Will Thompson, M. Arthur Moseley, Stephanie Reisinger, Brian T. Edmonds, Brian Grinnell, David R. Nelson, Darrell L. Dinwiddie, Neil A. Miller, Carol J. Saunders, Sarah S. Soden, Angela J. Rogers, Lee Gazourian , Laura E. Fredenburgh, Anthony F. Massaro, Rebecca M. Baron, Augustine M.K. Choi, G. Ralph Corey, Geoffrey S. Ginsburg, Charles B. Cairns, Ronny M. Otero, Vance G. Fowler Jr, Emanuel P. Rivers, Christopher W. Woods, Stephen F. Kingsmore, An integrated clinico-me[ant]tabolomic model improves prediction of death in sepsis, Science Translational Medicine, Vol. 5, Issue 195, p. 195ra95, July, 2013. (Impact Factor: 10.8)
  27. Bo Jiu, Hongwei Liu, Bo Chen, Zheng Liu, Waveform Design for Wideband Radar Target Recognition Based on Eigensubspace Projection, IET Radar, Sonar & Navigation,7(6), 702–709, 2013.(Impact Factor: 1.0)
  28. Bo Chen, Gungor Polatkan, Guillermo Sapiro, David Blei, David Dunson and Lawrence Carin, Deep Learning with Hierarchical Convolutional Factor Analysis, IEEE Transactions on Pattern Analysis and Machine Intelligence, 35(8), 1887-1901, 2013. (Impact Factor: 4.908)
  29. Bo Chen, David E. Carlson and Lawrence Carin, On the Analysis of Multi-Channel Neural Spike Data, Neural Information Processing Systems (NIPS) 2011, Granada, Spain.
  30. Bo Chen, Guillermo Sapiro, Gungor Polatkan, David Dunson and Lawrence Carin, The Hierarchical Beta Process for Convolutional Factor Analysis and Deep Learning, International Conference on Machine Learning, ICML 2011, Bellevue, Washington, USA. [online video: http://techtalks.tv/talks/54368/]
  31. Bo Chen, Guillermo Sapiro, David Dunson, Lawrence Carin, Deep Networks with Hierarchical Convolutional Factor Analysis, Neural Information Processing Systems (NIPS) 2010 Workshop on Deep Learning and Unsupervised Feature Learning, Vancouver, Canada.
  32. Bo Chen, Minhua Chen, John Paisley, Aimee Zaas, Christopher Woods, Geoff Ginsburg, Alfred Hero III, Joseph Lucas, David Dunson and Lawrence Carin. Bayesian inference of the number of factors in gene-ex[ant]pression analysis: application to human virus challenge studies. BMC Bioinformatics, Volume 11, Number 1, 552, 2010.(Impact Factor: 3.028)
  33. Bo Chen, John Paisley and Lawrence Carin. Sparse Linear Regression with Beta Process Priors, ICASSP 2010, Dallas, USA.
  34. Jing Chai, Hongwei Liu, Bo Chen and Zheng Bao. Large margin nearest local mean classifier. Signal Processing, Volume 90 Issue 1, January, 2010.(Impact Factor: 1.503)
  35. Bo Chen, Hongwei Liu, Jing Chai and Zheng Bao. Large Margin Feature Weighting via Linear Programming. IEEE Transactions on Knowledge and Data Engineering, Vol 21, No 10, 2009.(Impact Factor: 2.285)
  36. Bo Chen, Hongwei Liu and Zheng Bao. Optimizing the Data-dependent Kernel under a Unified Kernel Optimization fr[ant]amework. Pattern Recognition, 41(6), 2107-2119, 2008. (Impact Factor: 3.172)
  37. Bo Chen, Hongwei Liu and Zheng Bao. A Kernel Optimization Method Based on the Localized Kernel Fisher, Pattern Recognition, 41(3), 1098-1109, 2008. (Impact Factor: 3.172)
  38. Bo Chen, Hongwei Liu, Li Yuan and Zheng Bao. Adaptively Segmenting Angular Sectors for Radar HRRP ATR. EURASIP Journal on Applied Signal Processing, Volume 2008 (2008), Article ID 641709, 6 pages. (Impact Factor: 1.055)
  39. Bo Chen, Hongwei Liu and Zheng Bao. An Efficient Kernel Optimization Method for Radar High-resolution Range Profile Recognition, EURASIP Journal on Applied Signal Processing. Vol. 2007, Article ID 49597, 10 pages, 2007. (Impact Factor: 1.055)
  40. Bo Chen, Li Yuan, Hongwei Liu and Zheng Bao. Kernel Subclass Discriminant Analysis. Neurocomputing, 71, 455-458, 2007.(Impact Factor: 1.595)
  41. Bo Chen, Hongwei Liu and Zheng Bao. Basis Vector Classifier, Special issue of Dynamics of Continuous, Discrete and Impulsive Systems, 14 (s3), 23-29, 2007.
  42. Bo Chen, Hongwei Liu, Zheng Bao. A Fusion Kernel Optimization Method. Journal of Xidian University, 34 (4), 509-513, 2007. (in Chinese)
  43. Bo Chen, Hongwei Liu, Zheng Bao. Speeding up SVM in Test Phase: Application to Radar HRRP ATR. The Proc. of ICONIP’06, Hongkong, China, Vol.4232, 811-818, 2006, Springer Berlin.
  44. Bo Chen, Hongwei Liu and Zheng Bao, An Efficient Kernel Optimization Method for High Range Resolution Profile Recognition, 2006 CIE International Conference on Radar, Shanghai, 1-4, 2006.
  45. Bo Chen, Hongwei Liu and Zheng Bao, General Kernel Optimization Model Based on Kernel Fisher Criterion, ICNC2006, Xi’an, 143-146, Springer Berlin, 2006.
  46. Bo Chen, Hongwei Liu, Zheng Bao. A Kernel Optimization Method Based on the Localized Kernel Fisher Criterion, ISNN2006, Chengdu, 915-921, Springer Berlin, 2006.
  47. Bo Chen, Hongwei Liu, Zheng Bao. PCA and Kernel PCA for Radar High Range Resolution Profiles Recognition. 2005 IEEE International Radar Conference in Arlington, Virginia USA: pp.528-533.
  48. Bo Chen, Hongwei Liu, Zheng Bao and Xuefei Cao. A Kernel Optimization Algorithm Based on Fusion Kernel for High Range Resolution Profiles Recognition. ACTA ELECTRONICA SINICA, 34 (6), 1146-1151, 2006. (in Chinese)
  49. Bo Chen, Hongwei Liu and Zheng Bao. Analysis and Comparison of Three Kinds of Classification Based Different Absolute Alignment Methods. Modern Radar, Vol. 28 (3), 58-62, 2006. (in Chinese)
  50. Bo Chen, Hongwei Liu and Zheng Bao. An HRRP Recognition Method Based on Zero Phase Representation. Journal of Xidian University, 32 (5), 657-662, 2005. (in Chinese)

 Patents:

  1. Raymond Langley, Stephen Kingsmore, Bo Chen and Lawrence Carin, Method for diagnosis of sepsis and risk of death, Pub. Number: US 2010/0273207, Pub. date: 10.28, 2010.