Hanxiao Liu

Orcid: 0000-0002-9340-5503

According to our database1, Hanxiao Liu authored at least 58 papers between 2015 and 2024.

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Bibliography

2024
A Privacy-Preserving Approach Against Eavesdropping Attacks on Remote State Estimation for Cyber-Physical Systems.
IEEE Trans. Circuits Syst. II Express Briefs, March, 2024

2023
Combined scaling for zero-shot transfer learning.
Neurocomputing, October, 2023

Large Language Models as Optimizers.
CoRR, 2023

IDO-VFI: Identifying Dynamics via Optical Flow Guidance for Video Frame Interpolation with Events.
CoRR, 2023

Larger language models do in-context learning differently.
CoRR, 2023

DoReMi: Optimizing Data Mixtures Speeds Up Language Model Pretraining.
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.
Proceedings of the 2023 4th International Symposium on Artificial Intelligence for Medicine Science, 2023

2022
Resource-Constrained Neural Architecture Search on Tabular Datasets.
CoRR, 2022

How vulnerable is innovation-based remote state estimation: Fundamental limits under linear attacks.
Autom., 2022

Rollout approach to sensor scheduling for remote state estimation under integrity attack.
Autom., 2022

Mixture-of-Experts with Expert Choice Routing.
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.
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.
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.
Proceedings of the International Conference on Machine Learning, 2022

A High-speed Event-based Object Tracking with Heterogeneous Computing Hardware.
Proceedings of the IEEE Asia Pacific Conference on Circuit and Systems, 2022

2021
Analysis, Detection, Mitigation of Attacks in Cyber-physical Systems.
PhD thesis, 2021

Electrostatic footpads enable agile insect-scale soft robots with trajectory control.
Sci. Robotics, 2021

Combined Scaling for Zero-shot Transfer Learning.
CoRR, 2021

Primer: Searching for Efficient Transformers for Language Modeling.
CoRR, 2021

Searching for Efficient Transformers for Language Modeling.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Pay Attention to MLPs.
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.
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.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Discovering Multi-Hardware Mobile Models via Architecture Search.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020
An Online Approach to Physical Watermark Design.
IEEE Trans. Autom. Control., 2020

An Optimal Linear Attack Strategy on Remote State Estimation.
CoRR, 2020

MobileDets: Searching for Object Detection Architectures for Mobile Accelerators.
CoRR, 2020

Rethinking Pre-training and Self-training.
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.
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.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Evolving Normalization-Activation Layers.
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.
Proceedings of the Computer Vision - ECCV 2020, 2020

Neural Predictor for Neural Architecture Search.
Proceedings of the Computer Vision - ECCV 2020, 2020

MnasFPN: Learning Latency-Aware Pyramid Architecture for Object Detection on Mobile Devices.
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.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Reinforcement Learning Based Approach for Flip Attack Detection.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

2019
GDP: Generalized Device Placement for Dataflow Graphs.
CoRR, 2019

Short-Term Origin-Destination Forecasting in Urban Rail Transit Based on Attraction Degree.
IEEE Access, 2019

DARTS: Differentiable Architecture Search.
Proceedings of the 7th International Conference on Learning Representations, 2019

2018
Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Hierarchical Representations for Efficient Architecture Search.
Proceedings of the 6th International Conference on Learning Representations, 2018

Graph Convolutional Matrix Completion for Bipartite Edge Prediction.
Proceedings of the 10th International Joint Conference on Knowledge Discovery, 2018

An On-line Design of Physical Watermarks.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2017
Learning Graph Convolution Filters from Data Manifold.
CoRR, 2017

A Comparative Study of Word Embeddings for Reading Comprehension.
CoRR, 2017

Experiments in Curation: Towards Machine-Assisted Construction of Software Architecture Knowledge Bases.
Proceedings of the 2017 IEEE International Conference on Software Architecture, 2017

Analogical Inference for Multi-relational Embeddings.
Proceedings of the 34th International Conference on Machine Learning, 2017

RACE: Large-scale ReAding Comprehension Dataset From Examinations.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Gated-Attention Readers for Text Comprehension.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

Cross-Domain Kernel Induction for Transfer Learning.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Learning Concept Graphs from Online Educational Data.
J. Artif. Intell. Res., 2016

Gated-Attention Readers for Text Comprehension.
CoRR, 2016

Adaptive Smoothed Online Multi-Task Learning.
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.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Cross-lingual Text Classification via Model Translation with Limited Dictionaries.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Semi-Supervised Learning with Adaptive Spectral Transform.
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2015
Concept Graph Learning from Educational Data.
Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, 2015

Bipartite Edge Prediction via Transductive Learning over Product Graphs.
Proceedings of the 32nd International Conference on Machine Learning, 2015


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