Yongtao Liu

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 34

Top Topics

Salient Object Detection

Gaussian Process

Trajectory Tracking

Active Learning

Top Venues

iThings/GreenCom/CPSCom/SmartData

Publications

Taiqi Wang, Chang Wang, Shengyu Yan, Yongtao Liu
Disturbance observer-based fixed-time sliding mode trajectory tracking control for marine surface vehicles with uncertain dynamics. Trans. Inst. Meas. Control 46 (8) (2024)
Jianchun Qiu, Wenqin He, Dongjian Zheng, Yanxin Xu, Shaolong Guo, Tianxiao Ma, Pengcheng Xu, Yongtao Liu
Dynamic Failure Experimental Study of a Gravity Dam Model on a Shaking Table and Analysis of Its Structural Dynamic Characteristics. Sensors 24 (5) (2024)
Boris N. Slautin, Utkarsh Pratiush, Ilia N. Ivanov, Yongtao Liu, Rohit Pant, Xiaohang Zhang, Ichiro Takeuchi, Maxim A. Ziatdinov, Sergei V. Kalinin
Multimodal Co-orchestration for Exploring Structure-Property Relationships in Combinatorial Libraries via Multi-Task Bayesian Optimization. CoRR (2024)
Boris N. Slautin, Yongtao Liu, Hiroshi Funakubo, Sergei V. Kalinin
Unraveling the Impact of Initial Choices and In-Loop Interventions on Learning Dynamics in Autonomous Scanning Probe Microscopy. CoRR (2024)
Boris N. Slautin, Yongtao Liu, Hiroshi Funakubo, Rama K. Vasudevan, Maxim A. Ziatdinov, Sergei V. Kalinin
Bayesian Co-navigation: Dynamic Designing of the Materials Digital Twins via Active Learning. CoRR (2024)
Utkarsh Pratiush, Kevin M. Roccapriore, Yongtao Liu, Gerd Duscher, Maxim A. Ziatdinov, Sergei V. Kalinin
Building Workflows for Interactive Human in the Loop Automated Experiment (hAE) in STEM-EELS. CoRR (2024)
Yongtao Liu, Marti Checa, Rama K. Vasudevan
Synergizing Human Expertise and AI Efficiency with Language Model for Microscopy Operation and Automated Experiment Design. CoRR (2024)
Yongtao Liu, Ruizhi Sun, Xiangnan Zhang, Li Li, Guoqing Shi
An autonomous positioning method for fire robots with multi-source sensors. Wirel. Networks 30 (5) (2024)
Zhengzheng Tu, Yan Ma, Zhun Li, Chenglong Li, Jieming Xu, Yongtao Liu
RGBT Salient Object Detection: A Large-Scale Dataset and Benchmark. IEEE Trans. Multim. 25 (2023)
Qinyu Sun, Yingshi Guo, Yongtao Liu, Chang Wang, Menglu Gu, Yanqi Su
Comparing the Effects of Visual Distraction in a High-Fidelity Driving Simulator and on a Real Highway. IEEE Trans. Intell. Transp. Syst. 24 (4) (2023)
Sergei V. Kalinin, Yongtao Liu, Arpan Biswas, Gerd Duscher, Utkarsh Pratiush, Kevin Roccapriore, Maxim A. Ziatdinov, Rama K. Vasudevan
Human-in-the-loop: The future of Machine Learning in Automated Electron Microscopy. CoRR (2023)
Yongtao Liu, Maxim A. Ziatdinov, Rama K. Vasudevan, Sergei V. Kalinin
Explainability and human intervention in autonomous scanning probe microscopy. Patterns 4 (11) (2023)
Yongtao Liu, Anna N. Morozovska, Eugene A. Eliseev, Kyle P. Kelley, Rama K. Vasudevan, Maxim A. Ziatdinov, Sergei V. Kalinin
Autonomous scanning probe microscopy with hypothesis learning: Exploring the physics of domain switching in ferroelectric materials. Patterns 4 (3) (2023)
Mani Valleti, Yongtao Liu, Sergei V. Kalinin
Physics and Chemistry from Parsimonious Representations: Image Analysis via Invariant Variational Autoencoders. CoRR (2023)
Di Tian, Yi Han, Yongtao Liu, Jiabo Li, Ping Zhang, Ming Liu
Hybrid Cross-Feature Interaction Attention Module for Object Detection in Intelligent Mobile Scenes. Remote. Sens. 15 (20) (2023)
Arpan Biswas, Yongtao Liu, Nicole Creange, Yu-Chen Liu, Stephen Jesse, Jan-Chi Yang, Sergei V. Kalinin, Maxim A. Ziatdinov, Rama K. Vasudevan
A dynamic Bayesian optimized active recommender system for curiosity-driven Human-in-the-loop automated experiments. CoRR (2023)
Sheryl Sanchez, Yongtao Liu, Jonghee Yang, Sergei V. Kalinin, Maxim A. Ziatdinov, Mahshid Ahmadi
Exploring the Evolution of Metal Halide Perovskites via Latent Representations of the Photoluminescent Spectra. Adv. Intell. Syst. 5 (5) (2023)
Yongtao Liu, Kyle P. Kelley, Rama K. Vasudevan, Hiroshi Funakubo, Maxim A. Ziatdinov, Sergei V. Kalinin
Experimental discovery of structure-property relationships in ferroelectric materials via active learning. Nat. Mach. Intell. 4 (4) (2022)
Maxim A. Ziatdinov, Yongtao Liu, Kyle P. Kelley, Rama K. Vasudevan, Sergei V. Kalinin
Bayesian Active Learning for Scanning Probe Microscopy: from Gaussian Processes to Hypothesis Learning. CoRR (2022)
Rujing Ai, Zhitao Lv, Qiuyu Li, Yongtao Liu
Method for Identifying Early Fire Based on the Marginal End of Lightweight Neural Network. MLNLP (2022)
Li Li, Kaiyi Zhao, Ruizhi Sun, Saihua Cai, Yongtao Liu
Research for an Adaptive Classifier Based on Dynamic Graph Learning. Neural Process. Lett. 54 (4) (2022)
Maxim A. Ziatdinov, Yongtao Liu, Sergei V. Kalinin
Active learning in open experimental environments: selecting the right information channel(s) based on predictability in deep kernel learning. CoRR (2022)
Sergei V. Kalinin, Rama K. Vasudevan, Yongtao Liu, Ayana Ghosh, Kevin Roccapriore, Maxim A. Ziatdinov
Microscopy is All You Need. CoRR (2022)
Wencai Zhou, Zhaowen Qiu, Shun Tian, Yongtao Liu, Lang Wei, Reza Langari
A Novel Hybrid Approach for Risk Evaluation of Vehicle Failure Modes. Sensors 21 (2) (2021)
Yongtao Liu, Rama K. Vasudevan, Kyle P. Kelley, Dohyung Kim, Yogesh Sharma, Mahshid Ahmadi, Sergei V. Kalinin, Maxim A. Ziatdinov
Decoding the shift-invariant data: applications for band-excitation scanning probe microscopy. CoRR (2021)
Yongtao Liu, Rama K. Vasudevan, Kyle K. Kelley, Dohyung Kim, Yogesh Sharma, Mahshid Ahmadi, Sergei V. Kalinin, Maxim A. Ziatdinov
. Mach. Learn. Sci. Technol. 2 (4) (2021)
Maxim A. Ziatdinov, Muammer Yusuf Yaman, Yongtao Liu, David Ginger, Sergei V. Kalinin
Semi-supervised learning of images with strong rotational disorder: assembling nanoparticle libraries. CoRR (2021)
Xiangnan Zhang, Wenwen Gong, Qifeng He, Haolong Xiang, Dan Li, Yawei Wang, Yifei Chen, Yongtao Liu
Camshift tracking method based on correlation probability graph for model pig. EURASIP J. Wirel. Commun. Netw. 2020 (1) (2020)
Yongtao Liu, Ruizhi Sun, Tianyi Zhang, Xiangnan Zhang, Li Li, Guoqing Shi
Fast Fire Identification Soft-Core Package Design Based on FPGA. iThings/GreenCom/CPSCom/SmartData/Cybermatics (2020)
Jie Qiao, Fengxiang Xu, Kunying Wu, Suo Zhang, Yongtao Liu
Multi-Objective Topological Optimization of an Electric Truck Frame Based on Orthogonal Design and Analytic Hierarchy Process. IEEE Access 8 (2020)
Yongtao Liu, Ruizhi Sun, Tianyi Zhang, Xiangnan Zhang, Li Li, Guoqing Shi
Warehouse-Oriented Optimal Path Planning for Autonomous Mobile Fire-Fighting Robots. Secur. Commun. Networks 2020 (2020)
Zhengzheng Tu, Yan Ma, Zhun Li, Chenglong Li, Jieming Xu, Yongtao Liu
RGBT Salient Object Detection: A Large-scale Dataset and Benchmark. CoRR (2020)
Xiangnan Zhang, Wenwen Gong, Qifeng He, Haolong Xiang, Dan Li, Yawei Wang, Yifei Chen, Yaqian Deng, Fanglin Geng, Yongtao Liu
Camshift Tracking Method Based on Correlation Probability Graph for Model Pig. iThings/GreenCom/CPSCom/SmartData (2019)
Yongtao Liu, Xiaopeng Fan, Yang Wang, Debin Zhao, Wen Gao
A nonlinear transform based analog video transmission framework. CoRR (2018)
Yongtao Liu, Hua Yan, Xiushan Nie, Zhen Liu
Face Image Super-Resolution Based on Topology ICA and Sparse Representation. ICIAR (1) (2014)