Hanxiao Liu

According to our database, Hanxiao Liu authored at least 64 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

A Ground-Based Electrostatically Suspended Accelerometer.

Hanxiao Liu, Xiaoxia He, Chenhui Wu, Rong Zhang

Sensors, June, 2024

A Privacy-Preserving Approach Against Eavesdropping Attacks on Remote State Estimation for Cyber-Physical Systems.

Hanxiao Liu, Jiaying Zou, Xiaoqiang Ren, Xiaofan Wang

IEEE Trans. Circuits Syst. II Express Briefs, March, 2024

How does digital transformation affect innovation in knowledge-intensive business services firms? The moderating effect of R&D collaboration portfolio.

Yunlong Duan, Meng Yang, Hanxiao Liu, Tachia Chin

J. Knowl. Manag., 2024

Optimal Privacy-Preserving Transmission Schedule Against Eavesdropping Attacks on Remote State Estimation.

Jiaying Zou, Hanxiao Liu, Chun Liu, Xiaoqiang Ren, Xiao Fan Wang

IEEE Control. Syst. Lett., 2024

A Label-Free and Non-Monotonic Metric for Evaluating Denoising in Event Cameras.

Chenyang Shi, Shasha Guo, Boyi Wei, Hanxiao Liu, Yibo Zhang, Ningfang Song, Jing Jin

CoRR, 2024

A two-network adversarial game: Model, strategy, and structure.

Ding Lyu, Hanxiao Liu, Lin Wang, Xiaofan Wang

Commun. Nonlinear Sci. Numer. Simul., 2024

Subsystem-importance-aware DoS attacks and countermeasures.

Hanxiao Liu, Yuqing Ni, Ding Lyu, Xiaoqiang Ren, Xiaofan Wang

Autom., 2024

Large Language Models as Optimizers.

Chengrun Yang, Xuezhi Wang, Yifeng Lu, Hanxiao Liu, Quoc V. Le, Denny Zhou, Xinyun Chen

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Combined scaling for zero-shot transfer learning.

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

Neurocomputing, October, 2023

IDO-VFI: Identifying Dynamics via Optical Flow Guidance for Video Frame Interpolation with Events.

Chenyang Shi, Hanxiao Liu, Jing Jin, Wenzhuo Li, Yuzhen Li, Boyi Wei, Yibo Zhang

CoRR, 2023

Larger language models do in-context learning differently.

Jerry W. Wei, Jason Wei, Yi Tay, Dustin Tran, Albert Webson, Yifeng Lu, Xinyun Chen, Hanxiao Liu, Da Huang, Denny Zhou, Tengyu Ma

CoRR, 2023

DoReMi: Optimizing Data Mixtures Speeds Up Language Model Pretraining.

Sang Michael Xie, Hieu Pham, Xuanyi Dong, Nan Du, Hanxiao Liu, Yifeng Lu, Percy Liang, Quoc V. Le, Tengyu Ma, Adams Wei Yu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Brain tumor segmentation based on homomorphic encryption.

Hanxiao Liu, Peng Li

Proceedings of the 2023 4th International Symposium on Artificial Intelligence for Medicine Science, 2023

2022

Resource-Constrained Neural Architecture Search on Tabular Datasets.

Chengrun Yang, Gabriel Bender, Hanxiao Liu, Pieter-Jan Kindermans, Madeleine Udell, Yifeng Lu, Quoc V. Le, Da Huang

CoRR, 2022

How vulnerable is innovation-based remote state estimation: Fundamental limits under linear attacks.

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

Autom., 2022

Rollout approach to sensor scheduling for remote state estimation under integrity attack.

Hanxiao Liu, Yuchao Li, Karl Henrik Johansson, Jonas Mårtensson, Lihua Xie

Autom., 2022

Mixture-of-Experts with Expert Choice Routing.

Yanqi Zhou, Tao Lei, Hanxiao Liu, Nan Du, Yanping Huang, Vincent Y. Zhao, Andrew M. Dai, Zhifeng Chen, Quoc V. Le, James Laudon

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

TabNAS: Rejection Sampling for Neural Architecture Search on Tabular Datasets.

Chengrun Yang, Gabriel Bender, Hanxiao Liu, Pieter-Jan Kindermans, Madeleine Udell, Yifeng Lu, Quoc V. Le, Da Huang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

A Review of Event-Based Indoor Positioning and Navigation.

Chenyang Shi, Ningfang Song, Wenzhuo Li, Yuzhen Li, Boyi Wei, Hanxiao Liu, Jing Jin

Proceedings of the WiP Proceedings of the Twelfth International Conference on Indoor Positioning and Indoor Navigation - Work-in-Progress Papers (IPIN-WiP 2022) co-located with 12th International Conference on Indoor Positioning and Indoor Navigation (IPIN 2022), Beijing, China, 5 September, 2022

Transformer Quality in Linear Time.

Weizhe Hua, Zihang Dai, Hanxiao Liu, Quoc V. Le

Proceedings of the International Conference on Machine Learning, 2022

A High-speed Event-based Object Tracking with Heterogeneous Computing Hardware.

Chenyang Shi, Jing Jin, Boyi Wei, Yuzhen Li, Wenzhuo Li, Hanxiao Liu, Yibo Zhang, Shaobo Luo

Proceedings of the IEEE Asia Pacific Conference on Circuit and Systems, 2022

2021

Analysis, Detection, Mitigation of Attacks in Cyber-physical Systems.

Hanxiao Liu

PhD thesis, 2021

Electrostatic footpads enable agile insect-scale soft robots with trajectory control.

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

Sci. Robotics, 2021

Combined Scaling for Zero-shot Transfer Learning.

Hieu Pham, Zihang Dai, Golnaz Ghiasi, Hanxiao Liu, Adams Wei Yu, Minh-Thang Luong, Mingxing Tan, Quoc V. Le

CoRR, 2021

Primer: Searching for Efficient Transformers for Language Modeling.

David R. So, Wojciech Manke, Hanxiao Liu, Zihang Dai, Noam Shazeer, Quoc V. Le

CoRR, 2021

Searching for Efficient Transformers for Language Modeling.

David R. So, Wojciech Manke, Hanxiao Liu, Zihang Dai, Noam Shazeer, Quoc V. Le

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Pay Attention to MLPs.

Hanxiao Liu, Zihang Dai, David R. So, Quoc V. Le

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

CoAtNet: Marrying Convolution and Attention for All Data Sizes.

Zihang Dai, Hanxiao Liu, Quoc V. Le, Mingxing Tan

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

MobileDets: Searching for Object Detection Architectures for Mobile Accelerators.

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

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

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

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020

An Online Approach to Physical Watermark Design.

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

IEEE Trans. Autom. Control., 2020

An Optimal Linear Attack Strategy on Remote State Estimation.

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

CoRR, 2020

MobileDets: Searching for Object Detection Architectures for Mobile Accelerators.

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

CoRR, 2020

Rethinking Pre-training and Self-training.

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

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Transferable Graph Optimizers for ML Compilers.

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

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

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 Le

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Evolving Normalization-Activation Layers.

Hanxiao Liu, Andy Brock, Karen Simonyan, Quoc Le

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

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

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

Proceedings of the Computer Vision - ECCV 2020, 2020

Neural Predictor for Neural Architecture Search.

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

Proceedings of the Computer Vision - ECCV 2020, 2020

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

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

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

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

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Reinforcement Learning Based Approach for Flip Attack Detection.

Hanxiao Liu, Yuchao Li, Jonas Mårtensson, Lihua Xie, Karl Henrik Johansson

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

2019

GDP: Generalized Device Placement for Dataflow Graphs.

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

CoRR, 2019

Short-Term Origin-Destination Forecasting in Urban Rail Transit Based on Attraction Degree.

Jinlei Zhang, Feng Chen, Zijia Wang, Hanxiao Liu

IEEE Access, 2019

DARTS: Differentiable Architecture Search.

Hanxiao Liu, Karen Simonyan, Yiming Yang

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

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

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

Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Hierarchical Representations for Efficient Architecture Search.

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

Proceedings of the 6th International Conference on Learning Representations, 2018

Graph Convolutional Matrix Completion for Bipartite Edge Prediction.

Yuexin Wu, Hanxiao Liu, Yiming Yang

Proceedings of the 10th International Joint Conference on Knowledge Discovery, 2018

An On-line Design of Physical Watermarks.

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

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2017

Learning Graph Convolution Filters from Data Manifold.

Guokun Lai, Hanxiao Liu, Yiming Yang

CoRR, 2017

A Comparative Study of Word Embeddings for Reading Comprehension.

Bhuwan Dhingra, Hanxiao Liu, Ruslan Salakhutdinov, William W. Cohen

CoRR, 2017

Experiments in Curation: Towards Machine-Assisted Construction of Software Architecture Knowledge Bases.

Ian Gorton, Ruochen Xu, Yiming Yang, Hanxiao Liu, Guoqing Zheng

Proceedings of the 2017 IEEE International Conference on Software Architecture, 2017

Analogical Inference for Multi-relational Embeddings.

Hanxiao Liu, Yuexin Wu, Yiming Yang

Proceedings of the 34th International Conference on Machine Learning, 2017

RACE: Large-scale ReAding Comprehension Dataset From Examinations.

Guokun Lai, Qizhe Xie, Hanxiao Liu, Yiming Yang, Eduard H. Hovy

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Gated-Attention Readers for Text Comprehension.

Bhuwan Dhingra, Hanxiao Liu, Zhilin Yang, William W. Cohen, Ruslan Salakhutdinov

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

Cross-Domain Kernel Induction for Transfer Learning.

Wei-Cheng Chang, Yuexin Wu, Hanxiao Liu, Yiming Yang

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Learning Concept Graphs from Online Educational Data.

Hanxiao Liu, Wanli Ma, Yiming Yang, Jaime G. Carbonell

J. Artif. Intell. Res., 2016

Gated-Attention Readers for Text Comprehension.

Bhuwan Dhingra, Hanxiao Liu, William W. Cohen, Ruslan Salakhutdinov

CoRR, 2016

Adaptive Smoothed Online Multi-Task Learning.

Keerthiram Murugesan, Hanxiao Liu, Jaime G. Carbonell, Yiming Yang

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Cross-Graph Learning of Multi-Relational Associations.

Hanxiao Liu, Yiming Yang

Proceedings of the 33nd International Conference on Machine Learning, 2016

Cross-lingual Text Classification via Model Translation with Limited Dictionaries.

Ruochen Xu, Yiming Yang, Hanxiao Liu, Andrew Hsi

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Semi-Supervised Learning with Adaptive Spectral Transform.

Hanxiao Liu, Yiming Yang

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2015

Concept Graph Learning from Educational Data.

Yiming Yang, Hanxiao Liu, Jaime G. Carbonell, Wanli Ma

Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, 2015

Bipartite Edge Prediction via Transductive Learning over Product Graphs.

Hanxiao Liu, Yiming Yang

Proceedings of the 32nd International Conference on Machine Learning, 2015