Zhuang Liu

博士生

University of California, Berkeley

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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.

Papers23 papers

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A New Meta-Baseline for Few-Shot Learning

Chen Yinbo,Wang Xiaolong,Liu Zhuang,Xu Huijuan,Darrell Trevor

Cited by13Bibtex

Test-Time Training with Self-Supervision for Generalization under Distribution Shifts

Yu Sun,Xiaolong Wang,Zhuang Liu,John Miller,Alexei A. Efros,Moritz Hardt

ICML, pp.9229-9248, (2020)

EIBibtex

Test-Time Training for Generalization under Distribution Shifts

Yu Sun,Xiaolong Wang,Zhuang Liu, John Miller,Alexei Efros

international conference on machine learning, (2020)

Bibtex

Test-Time Training with Self-Supervision for Generalization under Distribution Shifts

Yu Sun,Xiaolong Wang,Zhuang Liu, John Miller, Alexei Efros, University of California Moritz Hardt

ICML 2020, (2020)

Cited by23Bibtex

Regularization Matters in Policy Optimization - An Empirical Study on Continuous Control

Zhuang Liu, Xuanlin Li,Bingyi Kang,Trevor Darrell

international conference on learning representations, (2020)

Bibtex

Few Sample Knowledge Distillation for Efficient Network Compression

Tianhong Li,Jianguo Li,Zhuang Liu,Changshui Zhang

CVPR, pp.14627-14635, (2020)

Cited by3EIBibtex

MSeg: A Composite Dataset for Multi-Domain Semantic Segmentation

John Lambert,Zhuang Liu,Ozan Sener, James Hays,Vladlen Koltun

CVPR, pp.2876-2885, (2020)

EIBibtex

Object Detection from Scratch with Deep Supervision

Zhiqiang Shen,Zhuang Liu,Jianguo Li,Yu-Gang Jiang,Yurong Chen,Xiangyang Xue

IEEE Transactions on Pattern Analysis and Machine Intelligence, no. 2 (2020): 398-412

Cited by9EIWOSBibtex

Rethinking Image Mixture for Unsupervised Visual Representation Learning

Shen Zhiqiang,Liu Zechun,Liu Zhuang,Savvides Marios,Darrell Trevor

Bibtex

Regularization Matters in Policy Optimization

Liu Zhuang, Li Xuanlin, Kang Bingyi,Darrell Trevor

Bibtex

Convolutional Networks with Dense Connectivity

Gao Huang,Zhuang Liu,Geoff Pleiss,Laurens Van Der Maaten,Kilian Weinberger

IEEE transactions on pattern analysis and machine intelligence, pp.1-1, (2019)

Cited by35WOSBibtex

Rethinking the Value of Network Pruning

Zhuang Liu,Mingjie Sun,Tinghui Zhou,Gao Huang,Trevor Darrell

ICLR, (2019)

Cited by208EIBibtex

Test-Time Training for Out-of-Distribution Generalization

Sun Yu,Wang Xiaolong,Liu Zhuang, Miller John,Efros Alexei A.,Hardt Moritz

Bibtex

Transferable Recognition-Aware Image Processing

Liu Zhuang,Zhou Tinghui,Shen Zhiqiang, Kang Bingyi,Darrell Trevor

Bibtex

Few-Shot Object Detection via Feature Reweighting

Bingyi Kang,Zhuang Liu,Xin Wang,Fisher Yu,Jiashi Feng,Trevor Darrell

ICCV, pp.8419-8428, (2019)

Cited by40EIBibtex

Few Sample Knowledge Distillation for Efficient Network Compression

Tianhong Li,Jianguo Li,Zhuang Liu,Changshui Zhang

arXiv: Learning, (2018)

Cited by3Bibtex

Few-shot Object Detection via Feature Reweighting

Bingyi Kang,Zhuang Liu,Xin Wang,Fisher Yu,Jiashi Feng,Trevor Darrell

International Conference on Computer Vision, (2018): 8420-8429

Cited by40EIBibtex

Densely Connected Convolutional Networks

Gao Huang,Zhuang Liu,Laurens van der Maaten,Kilian Q. Weinberger

computer vision and pattern recognition, pp.2261-2269, (2017)

Cited by9628Bibtex

Snapshot Ensembles: Train 1, get M for free

Gao Huang,Yixuan Li,Geoff Pleiss,Zhuang Liu,John E. Hopcroft,Kilian Q. Weinberger

ICLR, (2017)

Cited by244EIBibtex

Learning Efficient Convolutional Networks through Network Slimming

Zhuang Liu,Jianguo Li,Zhiqiang Shen,Gao Huang, Shoumeng Yan,Changshui Zhang

ICCV, (2017): 2755-2763

Cited by514EIBibtex

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Zhuang LiuBinding

Papers23 papers

Zhuang Liu