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About Me |
I am currently a 5th year Ph.D. candidate in the
Department of Computer Science and Technology at Tsinghua University.
I'm jointly supervised by
Prof. Bo Zhang and Prof. Jun Zhu.
My research focuses on unveiling the latent structure underlying data to help with its analysis.
My current interests are in latent variable models and Bayesian nonparametrics.
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News |
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Our paper "Distributed Bayesian Posterior Sampling via Moment Sharing" is camera-ready at NIPS 2014!
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I started participating in the 4th season of "The Good Judgement Project" as a
forecaster in August, 2014. The project targets at statistically aggregating individual forecasts from the general public (or
crowdsourcing) to help with predictions on geopolitical events. Here is an
NPR article
about it.
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I'll be visiting Prof. Yee Whye Teh's group at the
Department of Statistics, University of Oxford
for 1 year since 10/2013!
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I interned at Google Beijing Office for 4 months, working on automatic enhancement of
HDR compositions.
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Recent Publications |
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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)
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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)
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