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Hanxiao Liu
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2020 – today
- 2024
- [j13]Hanxiao Liu, Yuqing Ni, Ding Lyu, Xiaoqiang Ren, Xiaofan Wang:
Subsystem-importance-aware DoS attacks and countermeasures. Autom. 164: 111640 (2024) - [j12]Ding Lyu, Hanxiao Liu, Lin Wang, Xiaofan Wang:
A two-network adversarial game: Model, strategy, and structure. Commun. Nonlinear Sci. Numer. Simul. 135: 108043 (2024) - [j11]Jiaying Zou, Hanxiao Liu, Chun Liu, Xiaoqiang Ren, Xiao Fan Wang:
Optimal Privacy-Preserving Transmission Schedule Against Eavesdropping Attacks on Remote State Estimation. IEEE Control. Syst. Lett. 8: 538-543 (2024) - [j10]Yunlong Duan, Meng Yang, Hanxiao Liu, Tachia Chin:
How does digital transformation affect innovation in knowledge-intensive business services firms? The moderating effect of R&D collaboration portfolio. J. Knowl. Manag. 28(4): 994-1019 (2024) - [j9]Hanxiao Liu, Xiaoxia He, Chenhui Wu, Rong Zhang:
A Ground-Based Electrostatically Suspended Accelerometer. Sensors 24(12): 4029 (2024) - [j8]Hanxiao Liu, Jiaying Zou, Xiaoqiang Ren, Xiaofan Wang:
A Privacy-Preserving Approach Against Eavesdropping Attacks on Remote State Estimation for Cyber-Physical Systems. IEEE Trans. Circuits Syst. II Express Briefs 71(3): 1221-1225 (2024) - [c38]Chengrun Yang, Xuezhi Wang, Yifeng Lu, Hanxiao Liu, Quoc V. Le, Denny Zhou, Xinyun Chen:
Large Language Models as Optimizers. ICLR 2024 - [i35]Chenyang Shi, Shasha Guo, Boyi Wei, Hanxiao Liu, Yibo Zhang, Ningfang Song, Jing Jin:
A Label-Free and Non-Monotonic Metric for Evaluating Denoising in Event Cameras. CoRR abs/2406.08909 (2024) - 2023
- [j7]Hieu Pham, Zihang Dai, Golnaz Ghiasi, Kenji Kawaguchi, Hanxiao Liu, Adams Wei Yu, Jiahui Yu, Yi-Ting Chen, Minh-Thang Luong, Yonghui Wu, Mingxing Tan, Quoc V. Le:
Combined scaling for zero-shot transfer learning. Neurocomputing 555: 126658 (2023) - [c37]Hanxiao Liu, Peng Li:
Brain tumor segmentation based on homomorphic encryption. ISAIMS 2023: 119-124 - [c36]Sang Michael Xie, Hieu Pham, Xuanyi Dong, Nan Du, Hanxiao Liu, Yifeng Lu, Percy Liang, Quoc V. Le, Tengyu Ma, Adams Wei Yu:
DoReMi: Optimizing Data Mixtures Speeds Up Language Model Pretraining. NeurIPS 2023 - [i34]Jerry W. Wei, Jason Wei, Yi Tay, Dustin Tran, Albert Webson, Yifeng Lu, Xinyun Chen, Hanxiao Liu, Da Huang, Denny Zhou, Tengyu Ma:
Larger language models do in-context learning differently. CoRR abs/2303.03846 (2023) - [i33]Chenyang Shi, Hanxiao Liu, Jing Jin, Wenzhuo Li, Yuzhen Li, Boyi Wei, Yibo Zhang:
IDO-VFI: Identifying Dynamics via Optical Flow Guidance for Video Frame Interpolation with Events. CoRR abs/2305.10198 (2023) - [i32]Sang Michael Xie, Hieu Pham, Xuanyi Dong, Nan Du, Hanxiao Liu, Yifeng Lu, Percy Liang, Quoc V. Le, Tengyu Ma, Adams Wei Yu:
DoReMi: Optimizing Data Mixtures Speeds Up Language Model Pretraining. CoRR abs/2305.10429 (2023) - [i31]Chengrun Yang, Xuezhi Wang, Yifeng Lu, Hanxiao Liu, Quoc V. Le, Denny Zhou, Xinyun Chen:
Large Language Models as Optimizers. CoRR abs/2309.03409 (2023) - 2022
- [j6]Hanxiao Liu, Yuqing Ni, Lihua Xie, Karl Henrik Johansson:
How vulnerable is innovation-based remote state estimation: Fundamental limits under linear attacks. Autom. 136: 110079 (2022) - [j5]Hanxiao Liu, Yuchao Li, Karl Henrik Johansson, Jonas Mårtensson, Lihua Xie:
Rollout approach to sensor scheduling for remote state estimation under integrity attack. Autom. 144: 110473 (2022) - [c35]Chenyang Shi, Jing Jin, Boyi Wei, Yuzhen Li, Wenzhuo Li, Hanxiao Liu, Yibo Zhang, Shaobo Luo:
A High-speed Event-based Object Tracking with Heterogeneous Computing Hardware. APCCAS 2022: 394-399 - [c34]Weizhe Hua, Zihang Dai, Hanxiao Liu, Quoc V. Le:
Transformer Quality in Linear Time. ICML 2022: 9099-9117 - [c33]Chenyang Shi, Ningfang Song, Wenzhuo Li, Yuzhen Li, Boyi Wei, Hanxiao Liu, Jing Jin:
A Review of Event-Based Indoor Positioning and Navigation. IPIN-WiP 2022 - [c32]Chengrun Yang, Gabriel Bender, Hanxiao Liu, Pieter-Jan Kindermans, Madeleine Udell, Yifeng Lu, Quoc V. Le, Da Huang:
TabNAS: Rejection Sampling for Neural Architecture Search on Tabular Datasets. NeurIPS 2022 - [c31]Yanqi Zhou, Tao Lei, Hanxiao Liu, Nan Du, Yanping Huang, Vincent Y. Zhao, Andrew M. Dai, Zhifeng Chen, Quoc V. Le, James Laudon:
Mixture-of-Experts with Expert Choice Routing. NeurIPS 2022 - [i30]Yanqi Zhou, Tao Lei, Hanxiao Liu, Nan Du, Yanping Huang, Vincent Y. Zhao, Andrew M. Dai, Zhifeng Chen, Quoc Le, James Laudon:
Mixture-of-Experts with Expert Choice Routing. CoRR abs/2202.09368 (2022) - [i29]Weizhe Hua, Zihang Dai, Hanxiao Liu, Quoc V. Le:
Transformer Quality in Linear Time. CoRR abs/2202.10447 (2022) - [i28]Chengrun Yang, Gabriel Bender, Hanxiao Liu, Pieter-Jan Kindermans, Madeleine Udell, Yifeng Lu, Quoc V. Le, Da Huang:
Resource-Constrained Neural Architecture Search on Tabular Datasets. CoRR abs/2204.07615 (2022) - 2021
- [b1]Hanxiao Liu:
Analysis, Detection, Mitigation of Attacks in Cyber-physical Systems. Royal Institute of Technology, Stockholm, Sweden, 2021 - [j4]Jiaming Liang, Yichuan Wu, Justin K. Yim, Huimin Chen, Zicong Miao, Hanxiao Liu, Ying Liu, Yixin Liu, Dongkai Wang, Wenying Qiu, Zhichun Shao, Min Zhang, Xiaohao Wang, Junwen Zhong, Liwei Lin:
Electrostatic footpads enable agile insect-scale soft robots with trajectory control. Sci. Robotics 6(55): 7906 (2021) - [c30]Grace Chu, Okan Arikan, Gabriel Bender, Weijun Wang, Achille Brighton, Pieter-Jan Kindermans, Hanxiao Liu, Berkin Akin, Suyog Gupta, Andrew Howard:
Discovering Multi-Hardware Mobile Models via Architecture Search. CVPR Workshops 2021: 3022-3031 - [c29]Yunyang Xiong, Hanxiao Liu, Suyog Gupta, Berkin Akin, Gabriel Bender, Yongzhe Wang, Pieter-Jan Kindermans, Mingxing Tan, Vikas Singh, Bo Chen:
MobileDets: Searching for Object Detection Architectures for Mobile Accelerators. CVPR 2021: 3825-3834 - [c28]Zihang Dai, Hanxiao Liu, Quoc V. Le, Mingxing Tan:
CoAtNet: Marrying Convolution and Attention for All Data Sizes. NeurIPS 2021: 3965-3977 - [c27]David R. So, Wojciech Manke, Hanxiao Liu, Zihang Dai, Noam Shazeer, Quoc V. Le:
Searching for Efficient Transformers for Language Modeling. NeurIPS 2021: 6010-6022 - [c26]Hanxiao Liu, Zihang Dai, David R. So, Quoc V. Le:
Pay Attention to MLPs. NeurIPS 2021: 9204-9215 - [i27]Daiyi Peng, Xuanyi Dong, Esteban Real, Mingxing Tan, Yifeng Lu, Hanxiao Liu, Gabriel Bender, Adam Kraft, Chen Liang, Quoc V. Le:
PyGlove: Symbolic Programming for Automated Machine Learning. CoRR abs/2101.08809 (2021) - [i26]Hanxiao Liu, Zihang Dai, David R. So, Quoc V. Le:
Pay Attention to MLPs. CoRR abs/2105.08050 (2021) - [i25]Zihang Dai, Hanxiao Liu, Quoc V. Le, Mingxing Tan:
CoAtNet: Marrying Convolution and Attention for All Data Sizes. CoRR abs/2106.04803 (2021) - [i24]David R. So, Wojciech Manke, Hanxiao Liu, Zihang Dai, Noam Shazeer, Quoc V. Le:
Primer: Searching for Efficient Transformers for Language Modeling. CoRR abs/2109.08668 (2021) - [i23]Hieu Pham, Zihang Dai, Golnaz Ghiasi, Hanxiao Liu, Adams Wei Yu, Minh-Thang Luong, Mingxing Tan, Quoc V. Le:
Combined Scaling for Zero-shot Transfer Learning. CoRR abs/2111.10050 (2021) - 2020
- [j3]Hanxiao Liu, Yilin Mo, Jiaqi Yan, Lihua Xie, Karl Henrik Johansson:
An Online Approach to Physical Watermark Design. IEEE Trans. Autom. Control. 65(9): 3895-3902 (2020) - [c25]Hanxiao Liu, Yuchao Li, Jonas Mårtensson, Lihua Xie, Karl Henrik Johansson:
Reinforcement Learning Based Approach for Flip Attack Detection. CDC 2020: 3212-3217 - [c24]Bo Chen, Golnaz Ghiasi, Hanxiao Liu, Tsung-Yi Lin, Dmitry Kalenichenko, Hartwig Adam, Quoc V. Le:
MnasFPN: Learning Latency-Aware Pyramid Architecture for Object Detection on Mobile Devices. CVPR 2020: 13604-13613 - [c23]Gabriel Bender, Hanxiao Liu, Bo Chen, Grace Chu, Shuyang Cheng, Pieter-Jan Kindermans, Quoc V. Le:
Can Weight Sharing Outperform Random Architecture Search? An Investigation With TuNAS. CVPR 2020: 14311-14320 - [c22]Wei Wen, Hanxiao Liu, Yiran Chen, Hai Helen Li, Gabriel Bender, Pieter-Jan Kindermans:
Neural Predictor for Neural Architecture Search. ECCV (29) 2020: 660-676 - [c21]Jiahui Yu, Pengchong Jin, Hanxiao Liu, Gabriel Bender, Pieter-Jan Kindermans, Mingxing Tan, Thomas S. Huang, Xiaodan Song, Ruoming Pang, Quoc Le:
BigNAS: Scaling up Neural Architecture Search with Big Single-Stage Models. ECCV (7) 2020: 702-717 - [c20]Hanxiao Liu, Andy Brock, Karen Simonyan, Quoc Le:
Evolving Normalization-Activation Layers. NeurIPS 2020 - [c19]Daiyi Peng, Xuanyi Dong, Esteban Real, Mingxing Tan, Yifeng Lu, Gabriel Bender, Hanxiao Liu, Adam Kraft, Chen Liang, Quoc Le:
PyGlove: Symbolic Programming for Automated Machine Learning. NeurIPS 2020 - [c18]Yanqi Zhou, Sudip Roy, AmirAli Abdolrashidi, Daniel Wong, Peter C. Ma, Qiumin Xu, Hanxiao Liu, Mangpo Phitchaya Phothilimtha, Shen Wang, Anna Goldie, Azalia Mirhoseini, James Laudon:
Transferable Graph Optimizers for ML Compilers. NeurIPS 2020 - [c17]Barret Zoph, Golnaz Ghiasi, Tsung-Yi Lin, Yin Cui, Hanxiao Liu, Ekin Dogus Cubuk, Quoc Le:
Rethinking Pre-training and Self-training. NeurIPS 2020 - [i22]Jiahui Yu, Pengchong Jin, Hanxiao Liu, Gabriel Bender, Pieter-Jan Kindermans, Mingxing Tan, Thomas S. Huang, Xiaodan Song, Ruoming Pang, Quoc V. Le:
BigNAS: Scaling Up Neural Architecture Search with Big Single-Stage Models. CoRR abs/2003.11142 (2020) - [i21]Hanxiao Liu, Andrew Brock, Karen Simonyan, Quoc V. Le:
Evolving Normalization-Activation Layers. CoRR abs/2004.02967 (2020) - [i20]Yunyang Xiong, Hanxiao Liu, Suyog Gupta, Berkin Akin, Gabriel Bender, Pieter-Jan Kindermans, Mingxing Tan, Vikas Singh, Bo Chen:
MobileDets: Searching for Object Detection Architectures for Mobile Accelerators. CoRR abs/2004.14525 (2020) - [i19]Hanxiao Liu, Yuqing Ni, Lihua Xie, Karl Henrik Johansson:
An Optimal Linear Attack Strategy on Remote State Estimation. CoRR abs/2006.04657 (2020) - [i18]Barret Zoph, Golnaz Ghiasi, Tsung-Yi Lin, Yin Cui, Hanxiao Liu, Ekin D. Cubuk, Quoc V. Le:
Rethinking Pre-training and Self-training. CoRR abs/2006.06882 (2020) - [i17]Gabriel Bender, Hanxiao Liu, Bo Chen, Grace Chu, Shuyang Cheng, Pieter-Jan Kindermans, Quoc Le:
Can weight sharing outperform random architecture search? An investigation with TuNAS. CoRR abs/2008.06120 (2020) - [i16]Grace Chu, Okan Arikan, Gabriel Bender, Weijun Wang, Achille Brighton, Pieter-Jan Kindermans, Hanxiao Liu, Berkin Akin, Suyog Gupta, Andrew Howard:
Discovering Multi-Hardware Mobile Models via Architecture Search. CoRR abs/2008.08178 (2020) - [i15]Yanqi Zhou, Sudip Roy, AmirAli Abdolrashidi, Daniel Wong, Peter C. Ma, Qiumin Xu, Hanxiao Liu, Mangpo Phitchaya Phothilimtha, Shen Wang, Anna Goldie, Azalia Mirhoseini, James Laudon:
Transferable Graph Optimizers for ML Compilers. CoRR abs/2010.12438 (2020)
2010 – 2019
- 2019
- [j2]Jinlei Zhang, Feng Chen, Zijia Wang, Hanxiao Liu:
Short-Term Origin-Destination Forecasting in Urban Rail Transit Based on Attraction Degree. IEEE Access 7: 133452-133462 (2019) - [c16]Hanxiao Liu, Karen Simonyan, Yiming Yang:
DARTS: Differentiable Architecture Search. ICLR (Poster) 2019 - [i14]Yanqi Zhou, Sudip Roy, AmirAli Abdolrashidi, Daniel Lin-Kit Wong, Peter C. Ma, Qiumin Xu, Ming Zhong, Hanxiao Liu, Anna Goldie, Azalia Mirhoseini, James Laudon:
GDP: Generalized Device Placement for Dataflow Graphs. CoRR abs/1910.01578 (2019) - [i13]Hanxiao Liu, Yilin Mo, Jiaqi Yan, Lihua Xie, Karl Henrik Johansson:
An Online Approach to Physical Watermark Design. CoRR abs/1911.01868 (2019) - [i12]Wei Wen, Hanxiao Liu, Hai Li, Yiran Chen, Gabriel Bender, Pieter-Jan Kindermans:
Neural Predictor for Neural Architecture Search. CoRR abs/1912.00848 (2019) - [i11]Bo Chen, Golnaz Ghiasi, Hanxiao Liu, Tsung-Yi Lin, Dmitry Kalenichenko, Hartwig Adam, Quoc V. Le:
MnasFPN: Learning Latency-aware Pyramid Architecture for Object Detection on Mobile Devices. CoRR abs/1912.01106 (2019) - 2018
- [c15]Hanxiao Liu, Jiaqi Yan, Yilin Mo, Karl Henrik Johansson:
An On-line Design of Physical Watermarks. CDC 2018: 440-445 - [c14]Yuexin Wu, Hanxiao Liu, Yiming Yang:
Graph Convolutional Matrix Completion for Bipartite Edge Prediction. KDIR 2018: 49-58 - [c13]Hanxiao Liu, Karen Simonyan, Oriol Vinyals, Chrisantha Fernando, Koray Kavukcuoglu:
Hierarchical Representations for Efficient Architecture Search. ICLR (Poster) 2018 - [c12]Guokun Lai, Wei-Cheng Chang, Yiming Yang, Hanxiao Liu:
Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks. SIGIR 2018: 95-104 - [i10]Hanxiao Liu, Karen Simonyan, Yiming Yang:
DARTS: Differentiable Architecture Search. CoRR abs/1806.09055 (2018) - [i9]Hanxiao Liu, Jiaqi Yan, Yilin Mo, Karl Henrik Johansson:
An On-line Design of Physical Watermarks. CoRR abs/1809.05299 (2018) - 2017
- [c11]Wei-Cheng Chang, Yuexin Wu, Hanxiao Liu, Yiming Yang:
Cross-Domain Kernel Induction for Transfer Learning. AAAI 2017: 1763-1769 - [c10]Bhuwan Dhingra, Hanxiao Liu, Zhilin Yang, William W. Cohen, Ruslan Salakhutdinov:
Gated-Attention Readers for Text Comprehension. ACL (1) 2017: 1832-1846 - [c9]Guokun Lai, Qizhe Xie, Hanxiao Liu, Yiming Yang, Eduard H. Hovy:
RACE: Large-scale ReAding Comprehension Dataset From Examinations. EMNLP 2017: 785-794 - [c8]Hanxiao Liu, Yuexin Wu, Yiming Yang:
Analogical Inference for Multi-relational Embeddings. ICML 2017: 2168-2178 - [c7]Ian Gorton, Ruochen Xu, Yiming Yang, Hanxiao Liu, Guoqing Zheng:
Experiments in Curation: Towards Machine-Assisted Construction of Software Architecture Knowledge Bases. ICSA 2017: 79-88 - [i8]Bhuwan Dhingra, Hanxiao Liu, Ruslan Salakhutdinov, William W. Cohen:
A Comparative Study of Word Embeddings for Reading Comprehension. CoRR abs/1703.00993 (2017) - [i7]Guokun Lai, Wei-Cheng Chang, Yiming Yang, Hanxiao Liu:
Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks. CoRR abs/1703.07015 (2017) - [i6]Guokun Lai, Qizhe Xie, Hanxiao Liu, Yiming Yang, Eduard H. Hovy:
RACE: Large-scale ReAding Comprehension Dataset From Examinations. CoRR abs/1704.04683 (2017) - [i5]Hanxiao Liu, Yuexin Wu, Yiming Yang:
Analogical Inference for Multi-Relational Embeddings. CoRR abs/1705.02426 (2017) - [i4]Guokun Lai, Hanxiao Liu, Yiming Yang:
Learning Graph Convolution Filters from Data Manifold. CoRR abs/1710.11577 (2017) - [i3]Hanxiao Liu, Karen Simonyan, Oriol Vinyals, Chrisantha Fernando, Koray Kavukcuoglu:
Hierarchical Representations for Efficient Architecture Search. CoRR abs/1711.00436 (2017) - 2016
- [j1]Hanxiao Liu, Wanli Ma, Yiming Yang, Jaime G. Carbonell:
Learning Concept Graphs from Online Educational Data. J. Artif. Intell. Res. 55: 1059-1090 (2016) - [c6]Hanxiao Liu, Yiming Yang:
Semi-Supervised Learning with Adaptive Spectral Transform. AISTATS 2016: 902-910 - [c5]Ruochen Xu, Yiming Yang, Hanxiao Liu, Andrew Hsi:
Cross-lingual Text Classification via Model Translation with Limited Dictionaries. CIKM 2016: 95-104 - [c4]Hanxiao Liu, Yiming Yang:
Cross-Graph Learning of Multi-Relational Associations. ICML 2016: 2235-2243 - [c3]Keerthiram Murugesan, Hanxiao Liu, Jaime G. Carbonell, Yiming Yang:
Adaptive Smoothed Online Multi-Task Learning. NIPS 2016: 4296-4304 - [i2]Hanxiao Liu, Yiming Yang:
Cross-Graph Learning of Multi-Relational Associations. CoRR abs/1605.01832 (2016) - [i1]Bhuwan Dhingra, Hanxiao Liu, William W. Cohen, Ruslan Salakhutdinov:
Gated-Attention Readers for Text Comprehension. CoRR abs/1606.01549 (2016) - 2015
- [c2]Hanxiao Liu, Yiming Yang:
Bipartite Edge Prediction via Transductive Learning over Product Graphs. ICML 2015: 1880-1888 - [c1]Yiming Yang, Hanxiao Liu, Jaime G. Carbonell, Wanli Ma:
Concept Graph Learning from Educational Data. WSDM 2015: 159-168
Coauthor Index
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last updated on 2024-10-07 22:14 CEST by the dblp team
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