Zhuang Liu
I'm a second-year PhD student at UC Berkeley, advised by Prof. Trevor Darrell. Previously I obtained my Bachelor's degree from Institute for Interdisciplinary Information Sciences (Yao Class), Tsinghua University. I have spent wonderful times as a visiting student with Prof. Kilian Weinberger at Cornell University, and as an intern with Dr. Jianguo Li at Intel Labs China.
Publications and Preprints
(* equal contributions) |
Rethinking the Value of Network PruningZhuang Liu*, Mingjie Sun*, Tinghui Zhou, Gao Huang, Trevor Darrell ICLR 2019, and NeurIPS 2018 Workshop on Compact Deep Neural Networks (Best Paper Award) |
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Few-shot Object Detection via Feature ReweightingBingyi Kang*, Zhuang Liu*, Xin Wang, Fisher Yu, Jiashi Feng, Trevor Darrell arXiv 2018 |
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Knowledge Distillation from Few SamplesTianhong Li, Jianguo Li, Zhuang Liu, Changshui Zhang arXiv 2018 |
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DSOD: Learning Deeply Supervised Object Detectors from ScratchZhiqiang Shen*, Zhuang Liu*, Jianguo Li, Yu-Gang Jiang, Yurong Chen, Xiangyang Xue ICCV 2017 |
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Learning Efficient Convolutional Networks through Network SlimmingZhuang Liu, Jianguo Li, Zhiqiang Shen, Gao Huang, Shoumeng Yan, Changshui Zhang ICCV 2017 |
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Densely Connected Convolutional NetworksGao Huang*, Zhuang Liu*, Laurens van der Maaten, Kilian Q. Weinberger CVPR 2017 (Best Paper Award) |
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Snapshot Ensembles: Train 1, Get M for FreeGao Huang*, Yixuan Li, Geoff Pleiss, Zhuang Liu, John E. Hopcroft, Kilian Q. Weinberger ICLR 2017 |
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Deep Networks with Stochastic DepthGao Huang*, Yu Sun*, Zhuang Liu, Daniel Sedra, Kilian Q. Weinberger ECCV 2016 (Spotlight) |