Hanxiao Liu(刘寒骁)

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My interest is to build algorithms that learn to learn.

Papers36 papers

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Transferable Graph Optimizers for ML Compilers

Yanqi Zhou, Sudip Roy,Amirali Abdolrashidi, Daniel Wong, Peter Ma, Qiumin Xu,Hanxiao Liu, Phitchaya Phothilimtha, Shen Wang, Anna Goldie,Azalia Mirhoseini, James Laudon

NeurIPS, (2020)

EIBibtex

PyGlove: Symbolic Programming for Automated Machine Learning

Daiyi Peng,Xuanyi Dong, Esteban Real,Mingxing Tan,Yifeng Lu,Gabriel Bender,Hanxiao Liu, Adam Kraft,Chen Liang,Quoc V Le

NeurIPS, (2020)

EIBibtex

Discovering Multi-Hardware Mobile Models via Architecture Search

Grace Chu, Okan Arikan,Gabriel Bender, Weijun Wang, Achille Brighton, Pieter-Jan Kindermans,Hanxiao Liu, Berkin Akin, Suyog Gupta, Andrew Howard

Bibtex

Rethinking Pre-training and Self-training

Zoph Barret,Ghiasi Golnaz,Lin Tsung-Yi,Cui Yin,Liu Hanxiao,Cubuk Ekin D.,Le Quoc V.

NeurIPS, (2020)

Cited by8EIBibtex

An Optimal Linear Attack Strategy on Remote State Estimation

Liu Hanxiao, Ni Yuqing,Xie Lihua,Johansson Karl Henrik

Bibtex

Can Weight Sharing Outperform Random Architecture Search? An Investigation With TuNAS

Gabriel Bender,Hanxiao Liu,Bo Chen,Grace Chu,Shuyang Cheng,Pieter-Jan Kindermans,Quoc V. Le

CVPR, pp.14311-14320, (2020)

Cited by2EIBibtex

MobileDets: Searching for Object Detection Architectures for Mobile Accelerators

Xiong Yunyang,Liu Hanxiao, Gupta Suyog, Akin Berkin,Bender Gabriel, Kindermans Pieter-Jan,Tan Mingxing,Singh Vikas,Chen Bo

Bibtex

Evolving Normalization-Activation Layers

Liu Hanxiao,Brock Andrew,Simonyan Karen,Le Quoc V.

NeurIPS, (2020)

Cited by4EIBibtex

BigNAS: Scaling Up Neural Architecture Search with Big Single-Stage Models

Yu Jiahui,Jin Pengchong,Liu Hanxiao,Bender Gabriel, Kindermans Pieter-Jan,Tan Mingxing,Huang Thomas, Song Xiaodan,Pang Ruoming,Le Quoc

european conference on computer vision, pp.702-717, (2020)

Cited by2Bibtex

GDP: Generalized Device Placement for Dataflow Graphs

Zhou Yanqi, Roy Sudip,Abdolrashidi Amirali, Wong Daniel, Ma Peter C., Xu Qiumin, Zhong Ming,Liu Hanxiao, Goldie Anna,Mirhoseini Azalia, Laudon James

Cited by3Bibtex

DARTS: Differentiable Architecture Search

Hanxiao Liu,Karen Simonyan,Yiming Yang

ICLR, (2019)

Cited by960EIBibtex

Neural Predictor for Neural Architecture Search

Wen Wei,Liu Hanxiao,Li Hai,Chen Yiran,Bender Gabriel, Kindermans Pieter-Jan

european conference on computer vision, pp.660-676, (2019)

Cited by3Bibtex

An Online Approach to Physical Watermark Design

Liu Hanxiao,Mo Yilin,Yan Jiaqi,Xie Lihua,Johansson Karl H.

IEEE Trans. Autom. Control., no. 9 (2019): 3895-3902

EIBibtex

MnasFPN: Learning Latency-aware Pyramid Architecture for Object Detection on Mobile Devices

Chen Bo,Ghiasi Golnaz,Liu Hanxiao,Lin Tsung-Yi,Kalenichenko Dmitry,Adams Hartwig,Le Quoc V.

CVPR, pp.13604-13613, (2019)

Cited by3EIBibtex

Learning Graph Convolution Filters from Data Manifold

Guokun Lai,Hanxiao Liu,Yiming Yang

arXiv: Learning, (2018)

Cited by5EIBibtex

Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks

Guokun Lai,Wei-Cheng Chang,Yiming Yang,Hanxiao Liu

SIGIR, (2018): 95-104

Cited by142EIBibtex

Graph Convolutional Matrix Completion for Bipartite Edge Prediction

Yuexin Wu,Hanxiao Liu,Yiming Yang

KDIR, pp.49-58, (2018)

Cited by11EIBibtex

An On-line Design of Physical Watermarks

Hanxiao Liu,Jiaqi Yan,Yilin Mo,Karl Henrik Johansson

CDC, (2018): 440-445

Cited by5EIBibtex

Hierarchical Representations for Efficient Architecture Search

Hanxiao Liu,Karen Simonyan,Oriol Vinyals,Chrisantha Fernando,Koray Kavukcuoglu

international conference on learning representations, (2018)

Cited by410EIBibtex

Learning Depthwise Graph Convolution from Data Manifold

Guokun Lai,Hanxiao Liu, Yiming Yang

arXiv: Learning, (2018)

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