Zhuang Liu
I'm a third-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 intern with Dr. Jianguo Li at Intel Labs (Beijing), Dr. Vladlen Koltun at Intel Labs (Santa Clara), and Dr. Evan Shelhamer at Adobe Research.
Publications and Preprints
(* equal contributions)SensAI: Fast ConvNets Serving on Live Data via Class ParallelismGuanhua Wang, Zhuang Liu, Siyuan Zhuang, Brandon Hsieh, Joseph E. Gonzalez, Ion Stoica Workshop on MLOps Systems at MLSys 2020 |
Rethinking Image Mixture for Unsupervised Visual Representation LearningZhiqiang Shen, Zechun Liu, Zhuang Liu, Marios Savvides, Trevor Darrell arXiv:2003.05438 |
Regularization Matters in Policy Optimization - An Empirical StudyZhuang Liu*, Xuanlin Li*, Bingyi Kang, Trevor Darrell arXiv:1910.09191 |
Transferable Recognition-Aware Image ProcessingZhuang Liu, Tinghui Zhou, Zhiqiang Shen, Bingyi Kang, Trevor Darrell arXiv:1910.09185 |
Test-Time Training for Out-of-Distribution GeneralizationYu Sun, Xiaolong Wang, Zhuang Liu, John Miller, Alexei A. Efros, Moritz Hardt ICML 2020 |
MSeg: A Composite Dataset for Multi-domain Semantic SegmentationJohn Lambert*, Zhuang Liu*, Ozan Sener, James Hays, Vladlen Koltun CVPR 2020 |
Few Sample Knowledge Distillation for Efficient Network CompressionTianhong Li, Jianguo Li, Zhuang Liu, Changshui Zhang CVPR 2020 |
Few-shot Object Detection via Feature ReweightingBingyi Kang*, Zhuang Liu*, Xin Wang, Fisher Yu, Jiashi Feng, Trevor Darrell ICCV 2019 |
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) |
DSOD: Learning Deeply Supervised Object Detectors from ScratchZhiqiang Shen*, Zhuang Liu*, Jianguo Li, Yu-Gang Jiang, Yurong Chen, Xiangyang Xue ICCV 2017 |
Learning Efficient Convolutional Networks through Network SlimmingZhuang Liu, Jianguo Li, Zhiqiang Shen, Gao Huang, Shoumeng Yan, Changshui Zhang ICCV 2017 |
Densely Connected Convolutional NetworksGao Huang*, Zhuang Liu*, Laurens van der Maaten, Kilian Q. Weinberger CVPR 2017 (Best Paper Award) |
Snapshot Ensembles: Train 1, Get M for FreeGao Huang*, Yixuan Li*, Geoff Pleiss, Zhuang Liu, John E. Hopcroft, Kilian Q. Weinberger ICLR 2017 |
Deep Networks with Stochastic DepthGao Huang*, Yu Sun*, Zhuang Liu, Daniel Sedra, Kilian Q. Weinberger ECCV 2016 (Spotlight) |
Reviewing
Reviewer for CVPR, ICCV, ECCV, ICML, ICLR, NeurIPS, AISTATS, UAI, AAAI, ACML, TMM, TIP, TPAMI, etc.