Hanxiao Liu

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 84

Top Topics

Frame Interpolation

State Estimation

Brain Tumor Segmentation

Top Venues

Publications

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) (2024)
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) (2024)
Chengrun Yang, Xuezhi Wang, Yifeng Lu, Hanxiao Liu, Quoc V. Le, Denny Zhou, Xinyun Chen
Large Language Models as Optimizers. ICLR (2024)
Ding Lyu, Hanxiao Liu, Lin Wang, Xiaofan Wang
A two-network adversarial game: Model, strategy, and structure. Commun. Nonlinear Sci. Numer. Simul. 135 (2024)
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 (2024)
Hanxiao Liu, Yuqing Ni, Ding Lyu, Xiaoqiang Ren, Xiaofan Wang
Subsystem-importance-aware DoS attacks and countermeasures. Autom. 164 (2024)
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 (2024)
Hanxiao Liu, Xiaoxia He, Chenhui Wu, Rong Zhang
A Ground-Based Electrostatically Suspended Accelerometer. Sensors 24 (12) (2024)
Chengrun Yang, Xuezhi Wang, Yifeng Lu, Hanxiao Liu, Quoc V. Le, Denny Zhou, Xinyun Chen
Large Language Models as Optimizers. CoRR (2023)
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 (2023)
Sang Michael Xie, Hieu Pham, Xuanyi Dong, Nan Du, Hanxiao Liu, Yifeng Lu, Percy S. Liang, Quoc V. Le, Tengyu Ma, Adams Wei Yu
DoReMi: Optimizing Data Mixtures Speeds Up Language Model Pretraining. NeurIPS (2023)
Hanxiao Liu, Peng Li
Brain tumor segmentation based on homomorphic encryption. ISAIMS (2023)
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 (2023)
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 (2023)
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 (2023)
Weizhe Hua, Zihang Dai, Hanxiao Liu, Quoc V. Le
Transformer Quality in Linear Time. CoRR (2022)
Hanxiao Liu, Yuqing Ni, Lihua Xie, Karl Henrik Johansson
How vulnerable is innovation-based remote state estimation: Fundamental limits under linear attacks. Autom. 136 (2022)
Yanqi Zhou, Tao Lei, Hanxiao Liu, Nan Du, Yanping Huang, Vincent Zhao, Andrew M. Dai, Zhifeng Chen, Quoc V. Le, James Laudon
Mixture-of-Experts with Expert Choice Routing. NeurIPS (2022)
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 (2022)
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)
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)
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)
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 (2022)
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 (2022)
Weizhe Hua, Zihang Dai, Hanxiao Liu, Quoc V. Le
Transformer Quality in Linear Time. ICML (2022)
Hanxiao Liu, Zihang Dai, David R. So, Quoc V. Le
Pay Attention to MLPs. NeurIPS (2021)
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)
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) (2021)
David R. So, Wojciech Manke, Hanxiao Liu, Zihang Dai, Noam Shazeer, Quoc V. Le
Primer: Searching for Efficient Transformers for Language Modeling. CoRR (2021)
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)
Zihang Dai, Hanxiao Liu, Quoc V. Le, Mingxing Tan
CoAtNet: Marrying Convolution and Attention for All Data Sizes. CoRR (2021)
Hanxiao Liu, Zihang Dai, David R. So, Quoc V. Le
Pay Attention to MLPs. CoRR (2021)
Zihang Dai, Hanxiao Liu, Quoc V. Le, Mingxing Tan
CoAtNet: Marrying Convolution and Attention for All Data Sizes. NeurIPS (2021)
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 (2021)
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 (2021)
David R. So, Wojciech Manke, Hanxiao Liu, Zihang Dai, Noam Shazeer, Quoc V. Le
Searching for Efficient Transformers for Language Modeling. NeurIPS (2021)
Hanxiao Liu, Yilin Mo, Jiaqi Yan, Lihua Xie, Karl Henrik Johansson
An Online Approach to Physical Watermark Design. IEEE Trans. Autom. Control. 65 (9) (2020)
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 (2020)
Hanxiao Liu, Andrew Brock, Karen Simonyan, Quoc V. Le
Evolving Normalization-Activation Layers. CoRR (2020)
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)
Hanxiao Liu, Yuchao Li, Jonas Mårtensson, Lihua Xie, Karl Henrik Johansson
Reinforcement Learning Based Approach for Flip Attack Detection. CDC (2020)
Hanxiao Liu, Andy Brock, Karen Simonyan, Quoc Le
Evolving Normalization-Activation Layers. NeurIPS (2020)
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)
Hanxiao Liu, Yuqing Ni, Lihua Xie, Karl Henrik Johansson
An Optimal Linear Attack Strategy on Remote State Estimation. CoRR (2020)
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)
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 (2020)
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 (2020)
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 (2020)
Barret Zoph, Golnaz Ghiasi, Tsung-Yi Lin, Yin Cui, Hanxiao Liu, Ekin Dogus Cubuk, Quoc Le
Rethinking Pre-training and Self-training. NeurIPS (2020)
Wei Wen, Hanxiao Liu, Yiran Chen, Hai Helen Li, Gabriel Bender, Pieter-Jan Kindermans
Neural Predictor for Neural Architecture Search. ECCV (29) (2020)
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 (2020)
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)
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)
Barret Zoph, Golnaz Ghiasi, Tsung-Yi Lin, Yin Cui, Hanxiao Liu, Ekin D. Cubuk, Quoc V. Le
Rethinking Pre-training and Self-training. CoRR (2020)
Wei Wen, Hanxiao Liu, Hai Li, Yiran Chen, Gabriel Bender, Pieter-Jan Kindermans
Neural Predictor for Neural Architecture Search. CoRR (2019)
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 (2019)
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 (2019)
Hanxiao Liu, Karen Simonyan, Yiming Yang
DARTS: Differentiable Architecture Search. ICLR (Poster) (2019)
Jinlei Zhang, Feng Chen, Zijia Wang, Hanxiao Liu
Short-Term Origin-Destination Forecasting in Urban Rail Transit Based on Attraction Degree. IEEE Access 7 (2019)
Hanxiao Liu, Yilin Mo, Jiaqi Yan, Lihua Xie, Karl Henrik Johansson
An Online Approach to Physical Watermark Design. CoRR (2019)
Hanxiao Liu, Jiaqi Yan, Yilin Mo, Karl Henrik Johansson
An On-line Design of Physical Watermarks. CoRR (2018)
Guokun Lai, Wei-Cheng Chang, Yiming Yang, Hanxiao Liu
Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks. SIGIR (2018)
Hanxiao Liu, Jiaqi Yan, Yilin Mo, Karl Henrik Johansson
An On-line Design of Physical Watermarks. CDC (2018)
Hanxiao Liu, Karen Simonyan, Yiming Yang
DARTS: Differentiable Architecture Search. CoRR (2018)
Yuexin Wu, Hanxiao Liu, Yiming Yang
Graph Convolutional Matrix Completion for Bipartite Edge Prediction. KDIR (2018)
Hanxiao Liu, Karen Simonyan, Oriol Vinyals, Chrisantha Fernando, Koray Kavukcuoglu
Hierarchical Representations for Efficient Architecture Search. ICLR (Poster) (2018)
Bhuwan Dhingra, Hanxiao Liu, Zhilin Yang, William W. Cohen, Ruslan Salakhutdinov
Gated-Attention Readers for Text Comprehension. ACL (1) (2017)
Guokun Lai, Qizhe Xie, Hanxiao Liu, Yiming Yang, Eduard H. Hovy
RACE: Large-scale ReAding Comprehension Dataset From Examinations. CoRR (2017)
Guokun Lai, Hanxiao Liu, Yiming Yang
Learning Graph Convolution Filters from Data Manifold. CoRR (2017)
Hanxiao Liu, Karen Simonyan, Oriol Vinyals, Chrisantha Fernando, Koray Kavukcuoglu
Hierarchical Representations for Efficient Architecture Search. CoRR (2017)
Wei-Cheng Chang, Yuexin Wu, Hanxiao Liu, Yiming Yang
Cross-Domain Kernel Induction for Transfer Learning. AAAI (2017)
Guokun Lai, Wei-Cheng Chang, Yiming Yang, Hanxiao Liu
Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks. CoRR (2017)
Bhuwan Dhingra, Hanxiao Liu, Ruslan Salakhutdinov, William W. Cohen
A Comparative Study of Word Embeddings for Reading Comprehension. CoRR (2017)
Guokun Lai, Qizhe Xie, Hanxiao Liu, Yiming Yang, Eduard H. Hovy
RACE: Large-scale ReAding Comprehension Dataset From Examinations. EMNLP (2017)
Hanxiao Liu, Yuexin Wu, Yiming Yang
Analogical Inference for Multi-Relational Embeddings. CoRR (2017)
Ian Gorton, Ruochen Xu, Yiming Yang, Hanxiao Liu, Guoqing Zheng
Experiments in Curation: Towards Machine-Assisted Construction of Software Architecture Knowledge Bases. ICSA (2017)
Hanxiao Liu, Yuexin Wu, Yiming Yang
Analogical Inference for Multi-relational Embeddings. ICML (2017)
Ruochen Xu, Yiming Yang, Hanxiao Liu, Andrew Hsi
Cross-lingual Text Classification via Model Translation with Limited Dictionaries. CIKM (2016)
Hanxiao Liu, Wanli Ma, Yiming Yang, Jaime G. Carbonell
Learning Concept Graphs from Online Educational Data. J. Artif. Intell. Res. 55 (2016)
Bhuwan Dhingra, Hanxiao Liu, William W. Cohen, Ruslan Salakhutdinov
Gated-Attention Readers for Text Comprehension. CoRR (2016)
Keerthiram Murugesan, Hanxiao Liu, Jaime G. Carbonell, Yiming Yang
Adaptive Smoothed Online Multi-Task Learning. NIPS (2016)
Hanxiao Liu, Yiming Yang
Cross-Graph Learning of Multi-Relational Associations. CoRR (2016)
Hanxiao Liu, Yiming Yang
Cross-Graph Learning of Multi-Relational Associations. ICML (2016)
Hanxiao Liu, Yiming Yang
Semi-Supervised Learning with Adaptive Spectral Transform. AISTATS (2016)
Yiming Yang, Hanxiao Liu, Jaime G. Carbonell, Wanli Ma
Concept Graph Learning from Educational Data. WSDM (2015)
Hanxiao Liu, Yiming Yang
Bipartite Edge Prediction via Transductive Learning over Product Graphs. ICML (2015)