Yongtao Liu

According to our database, Yongtao Liu authored at least 38 papers between 2014 and 2025.

Collaborative distances:

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

2025

A Self-Selection Personalized Lane-Changing Trajectory Prediction Approach Through a Hybrid Deep Learning Model.

Zhao Li, Xia Zhao, Chen Zhao, Yongtao Liu, Chang Wang

IEEE Trans. Veh. Technol., January, 2025

Gravity dam displacement monitoring using in situ strain and deep learning.

Xin Wu, Dongjian Zheng, Xingqiao Chen, Yongtao Liu, Jianchun Qiu, Haifeng Jiang

Comput. Aided Civ. Infrastructure Eng., January, 2025

2024

An autonomous positioning method for fire robots with multi-source sensors.

Yongtao Liu, Ruizhi Sun, Xiangnan Zhang, Li Li, Guoqing Shi

Wirel. Networks, July, 2024

Dynamic Failure Experimental Study of a Gravity Dam Model on a Shaking Table and Analysis of Its Structural Dynamic Characteristics.

Jianchun Qiu, Wenqin He, Dongjian Zheng, Yanxin Xu, Shaolong Guo, Tianxiao Ma, Pengcheng Xu, Yongtao Liu

Sensors, March, 2024

Disturbance observer-based fixed-time sliding mode trajectory tracking control for marine surface vehicles with uncertain dynamics.

Taiqi Wang, Chang Wang, Shengyu Yan, Yongtao Liu

Trans. Inst. Meas. Control, 2024

SANE: Strategic Autonomous Non-Smooth Exploration for Multiple Optima Discovery in Multi-modal and Non-differentiable Black-box Functions.

Arpan Biswas, Rama K. Vasudevan, Rohit Pant, Ichiro Takeuchi, Hiroshi Funakubo, Yongtao Liu

CoRR, 2024

Invariant Discovery of Features Across Multiple Length Scales: Applications in Microscopy and Autonomous Materials Characterization.

Aditya Raghavan, Utkarsh Pratiush, Mani Valleti, Richard Liu, Reece Emery, Hiroshi Funakubo, Yongtao Liu, Philip D. Rack, Sergei V. Kalinin

CoRR, 2024

Bayesian Co-navigation: Dynamic Designing of the Materials Digital Twins via Active Learning.

Boris N. Slautin, Yongtao Liu, Hiroshi Funakubo, Rama K. Vasudevan, Maxim A. Ziatdinov, Sergei V. Kalinin

CoRR, 2024

Building Workflows for Interactive Human in the Loop Automated Experiment (hAE) in STEM-EELS.

Utkarsh Pratiush, Kevin M. Roccapriore, Yongtao Liu, Gerd Duscher, Maxim A. Ziatdinov, Sergei V. Kalinin

CoRR, 2024

Co-orchestration of Multiple Instruments to Uncover Structure-Property Relationships in Combinatorial Libraries.

Boris N. Slautin, Utkarsh Pratiush, Ilia N. Ivanov, Yongtao Liu, Rohit Pant, Xiaohang Zhang, Ichiro Takeuchi, Maxim A. Ziatdinov, Sergei V. Kalinin

CoRR, 2024

Unraveling the Impact of Initial Choices and In-Loop Interventions on Learning Dynamics in Autonomous Scanning Probe Microscopy.

Boris N. Slautin, Yongtao Liu, Hiroshi Funakubo, Sergei V. Kalinin

CoRR, 2024

Synergizing Human Expertise and AI Efficiency with Language Model for Microscopy Operation and Automated Experiment Design.

Yongtao Liu, Marti Checa, Rama K. Vasudevan

CoRR, 2024

2023

Explainability and human intervention in autonomous scanning probe microscopy.

Yongtao Liu, Maxim A. Ziatdinov, Rama K. Vasudevan, Sergei V. Kalinin

Patterns, November, 2023

Hybrid Cross-Feature Interaction Attention Module for Object Detection in Intelligent Mobile Scenes.

Di Tian, Yi Han, Yongtao Liu, Jiabo Li, Ping Zhang, Ming Liu

Remote. Sens., October, 2023

Exploring the Evolution of Metal Halide Perovskites via Latent Representations of the Photoluminescent Spectra.

Sheryl Sanchez, Yongtao Liu, Jonghee Yang, Sergei V. Kalinin, Maxim A. Ziatdinov, Mahshid Ahmadi

Adv. Intell. Syst., May, 2023

Comparing the Effects of Visual Distraction in a High-Fidelity Driving Simulator and on a Real Highway.

Qinyu Sun, Yingshi Guo, Yongtao Liu, Chang Wang, Menglu Gu, Yanqi Su

IEEE Trans. Intell. Transp. Syst., April, 2023

Autonomous scanning probe microscopy with hypothesis learning: Exploring the physics of domain switching in ferroelectric materials.

Yongtao Liu, Anna N. Morozovska, Eugene A. Eliseev, Kyle P. Kelley, Rama K. Vasudevan, Maxim A. Ziatdinov, Sergei V. Kalinin

Patterns, March, 2023

RGBT Salient Object Detection: A Large-Scale Dataset and Benchmark.

Zhengzheng Tu, Yan Ma, Zhun Li, Chenglong Li, Jieming Xu, Yongtao Liu

IEEE Trans. Multim., 2023

Human-in-the-loop: The future of Machine Learning in Automated Electron Microscopy.

Sergei V. Kalinin, Yongtao Liu, Arpan Biswas, Gerd Duscher, Utkarsh Pratiush, Kevin Roccapriore, Maxim A. Ziatdinov, Rama K. Vasudevan

CoRR, 2023

A dynamic Bayesian optimized active recommender system for curiosity-driven Human-in-the-loop automated experiments.

Arpan Biswas, Yongtao Liu, Nicole Creange, Yu-Chen Liu, Stephen Jesse, Jan-Chi Yang, Sergei V. Kalinin, Maxim A. Ziatdinov, Rama K. Vasudevan

CoRR, 2023

Physics and Chemistry from Parsimonious Representations: Image Analysis via Invariant Variational Autoencoders.

Mani Valleti, Yongtao Liu, Sergei V. Kalinin

CoRR, 2023

2022

Research for an Adaptive Classifier Based on Dynamic Graph Learning.

Li Li, Kaiyi Zhao, Ruizhi Sun, Saihua Cai, Yongtao Liu

Neural Process. Lett., 2022

Experimental discovery of structure-property relationships in ferroelectric materials via active learning.

Yongtao Liu, Kyle P. Kelley, Rama K. Vasudevan, Hiroshi Funakubo, Maxim A. Ziatdinov, Sergei V. Kalinin

Nat. Mach. Intell., 2022

Microscopy is All You Need.

Sergei V. Kalinin, Rama K. Vasudevan, Yongtao Liu, Ayana Ghosh, Kevin Roccapriore, Maxim A. Ziatdinov

CoRR, 2022

Bayesian Active Learning for Scanning Probe Microscopy: from Gaussian Processes to Hypothesis Learning.

Maxim A. Ziatdinov, Yongtao Liu, Kyle P. Kelley, Rama K. Vasudevan, Sergei V. Kalinin

CoRR, 2022

Active learning in open experimental environments: selecting the right information channel(s) based on predictability in deep kernel learning.

Maxim A. Ziatdinov, Yongtao Liu, Sergei V. Kalinin

CoRR, 2022

Method for Identifying Early Fire Based on the Marginal End of Lightweight Neural Network.

Rujing Ai, Zhitao Lv, Qiuyu Li, Yongtao Liu

Proceedings of the 5th International Conference on Machine Learning and Natural Language Processing, 2022

2021

A Novel Hybrid Approach for Risk Evaluation of Vehicle Failure Modes.

Wencai Zhou, Zhaowen Qiu, Shun Tian, Yongtao Liu, Lang Wei, Reza Langari

Sensors, 2021

Decoding the shift-invariant data: applications for band-excitation scanning probe microscopy ^*.

Yongtao Liu, Rama K. Vasudevan, Kyle K. Kelley, Dohyung Kim, Yogesh Sharma, Mahshid Ahmadi, Sergei V. Kalinin, Maxim A. Ziatdinov

Mach. Learn. Sci. Technol., 2021

Semi-supervised learning of images with strong rotational disorder: assembling nanoparticle libraries.

Maxim A. Ziatdinov, Muammer Yusuf Yaman, Yongtao Liu, David Ginger, Sergei V. Kalinin

CoRR, 2021

Decoding the shift-invariant data: applications for band-excitation scanning probe microscopy.

Yongtao Liu, Rama K. Vasudevan, Kyle P. Kelley, Dohyung Kim, Yogesh Sharma, Mahshid Ahmadi, Sergei V. Kalinin, Maxim A. Ziatdinov

CoRR, 2021

2020

Warehouse-Oriented Optimal Path Planning for Autonomous Mobile Fire-Fighting Robots.

Yongtao Liu, Ruizhi Sun, Tianyi Zhang, Xiangnan Zhang, Li Li, Guoqing Shi

Secur. Commun. Networks, 2020

Camshift tracking method based on correlation probability graph for model pig.

Xiangnan Zhang, Wenwen Gong, Qifeng He, Haolong Xiang, Dan Li, Yawei Wang, Yifei Chen, Yongtao Liu

EURASIP J. Wirel. Commun. Netw., 2020

Multi-Objective Topological Optimization of an Electric Truck Frame Based on Orthogonal Design and Analytic Hierarchy Process.

Jie Qiao, Fengxiang Xu, Kunying Wu, Suo Zhang, Yongtao Liu

IEEE Access, 2020

Fast Fire Identification Soft-Core Package Design Based on FPGA.

Yongtao Liu, Ruizhi Sun, Tianyi Zhang, Xiangnan Zhang, Li Li, Guoqing Shi

Proceedings of the 2020 International Conferences on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2020

2019

Camshift Tracking Method Based on Correlation Probability Graph for Model Pig.

Xiangnan Zhang, Wenwen Gong, Qifeng He, Haolong Xiang, Dan Li, Yawei Wang, Yifei Chen, Yaqian Deng, Fanglin Geng, Yongtao Liu

Proceedings of the 2019 International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2019

2018

A nonlinear transform based analog video transmission framework.

Yongtao Liu, Xiaopeng Fan, Yang Wang, Debin Zhao, Wen Gao

CoRR, 2018

2014

Face Image Super-Resolution Based on Topology ICA and Sparse Representation.

Yongtao Liu, Hua Yan, Xiushan Nie, Zhen Liu

Proceedings of the Image Analysis and Recognition - 11th International Conference, 2014