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Peer Reviewed Conference Papers |
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2014
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Minjie Xu, Balaji Lakshminarayanan, Yee Whye Teh, Jun Zhu, and Bo Zhang. Distributed Bayesian Posterior Sampling via Moment Sharing.
In Advances in Neural Information Processing Systems 27, Montreal, Canada, 2014. (NIPS 2014)
[pdf]
[bib]
[poster]
[code]
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2013
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Minjie Xu, Jun Zhu and Bo Zhang. Fast Max-Margin Matrix Factorization with Data Augmentation.
In Proceedings of the 30th International Conference on Machine Learning, Atlanta, USA, 2013. (ICML 2013)
[pdf]
[bib]
[appendix]
[slides(pptx)]
[slides(odp)]
[slides(pdf)]
[code]
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Minjie Xu and Jun Zhu. Discriminative Infinite Latent Feature Models.
In Proceedings of the 1st IEEE China Summit and International Conference on Signal and Information Processing, Beijing, China, 2013. (ChinaSIP 2013)
[pdf]
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2012
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Minjie Xu, Jun Zhu and Bo Zhang. Nonparametric Max-Margin Matrix Factorization for Collaborative Prediction.
In Advances in Neural Information Processing Systems 25, Lake Tahoe, USA, 2012. (NIPS 2012)
[pdf]
[bib]
[appendix]
[poster]
[code]
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Technical Report |
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Hugh Perkins, Minjie Xu, Jun Zhu and Bo Zhang. Fast Parallel SVMs using Data Augmentation.
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Thesis |
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Minjie Xu, Bo Zhang. Image Segmentation via Edgelet with Multi-Level Features.
Bachelor's Thesis (in Chinese), 2010.
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Workshop Abstracts |
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Jinhui Yuan, Minjie Xu, Bo Zhang, and Zhaoping Li.
Understanding cone spectral selectivities from information maximization and color constancy.
Asia-Pacific Conference on Vision, Taipei, July 23-26, 2010.
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Minjie Xu, Jinhui Yuan and Bo Zhang.
Why Does von Kries Law Hold?
Vision Science Society Annual Meeting, Florida, USA, May 7-12, 2010.
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