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Yongtao Liu
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2020 – today
- 2024
- [j16]Jianchun Qiu
, Wenqin He, Dongjian Zheng, Yanxin Xu, Shaolong Guo, Tianxiao Ma, Pengcheng Xu
Dynamic Failure Experimental Study of a Gravity Dam Model on a Shaking Table and Analysis of Its Structural Dynamic Characteristics. Sensors 24(5): 1602 (2024) - [j15]Taiqi Wang
Disturbance observer-based fixed-time sliding mode trajectory tracking control for marine surface vehicles with uncertain dynamics. Trans. Inst. Meas. Control 46(8): 1452-1466 (2024) - [j14]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): 3683-3695 (2024) - [i17]Yongtao Liu, Marti Checa, Rama K. Vasudevan:
Synergizing Human Expertise and AI Efficiency with Language Model for Microscopy Operation and Automated Experiment Design. CoRR abs/2401.13803 (2024) - [i16]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 abs/2402.00071 (2024) - [i15]Boris N. Slautin, Utkarsh Pratiush, Ilia N. Ivanov, Yongtao Liu, Rohit Pant, Xiaohang Zhang, Ichiro Takeuchi, Maxim A. Ziatdinov, Sergei V. Kalinin:
Co-orchestration of Multiple Instruments to Uncover Structure-Property Relationships in Combinatorial Libraries. CoRR abs/2402.02198 (2024) - [i14]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 abs/2404.07381 (2024) - [i13]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 abs/2404.12899 (2024) - [i12]Aditya Raghavan, Utkarsh Pratiush, Mani Valleti, Richard Liu, Reece Emery, Hiroshi Funakubo, Yongtao Liu, Philip D. Rack, Sergei V. Kalinin:
Invariant Discovery of Features Across Multiple Length Scales: Applications in Microscopy and Autonomous Materials Characterization. CoRR abs/2408.00229 (2024) - [i11]Arpan Biswas, Rama K. Vasudevan, Rohit Pant, Ichiro Takeuchi, Hiroshi Funakubo, Yongtao Liu:
SANE: Strategic Autonomous Non-Smooth Exploration for Multiple Optima Discovery in Multi-modal and Non-differentiable Black-box Functions. CoRR abs/2409.12295 (2024) - 2023
- [j13]Sheryl Sanchez
Exploring the Evolution of Metal Halide Perovskites via Latent Representations of the Photoluminescent Spectra. Adv. Intell. Syst. 5(5) (2023) - [j12]Yongtao Liu
Autonomous scanning probe microscopy with hypothesis learning: Exploring the physics of domain switching in ferroelectric materials. Patterns 4(3): 100704 (2023) - [j11]Yongtao Liu
Explainability and human intervention in autonomous scanning probe microscopy. Patterns 4(11): 100858 (2023) - [j10]Di Tian
Hybrid Cross-Feature Interaction Attention Module for Object Detection in Intelligent Mobile Scenes. Remote. Sens. 15(20): 4991 (2023) - [j9]Qinyu Sun
Comparing the Effects of Visual Distraction in a High-Fidelity Driving Simulator and on a Real Highway. IEEE Trans. Intell. Transp. Syst. 24(4): 3738-3747 (2023) - [j8]Zhengzheng Tu
RGBT Salient Object Detection: A Large-Scale Dataset and Benchmark. IEEE Trans. Multim. 25: 4163-4176 (2023) - [i10]Mani Valleti, Yongtao Liu, Sergei V. Kalinin:
Physics and Chemistry from Parsimonious Representations: Image Analysis via Invariant Variational Autoencoders. CoRR abs/2303.18236 (2023) - [i9]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 abs/2304.02484 (2023) - [i8]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 abs/2310.05018 (2023) - 2022
- [j7]Yongtao Liu, Kyle P. Kelley, Rama K. Vasudevan, Hiroshi Funakubo, Maxim A. Ziatdinov
Experimental discovery of structure-property relationships in ferroelectric materials via active learning. Nat. Mach. Intell. 4(4): 341-350 (2022) - [j6]Li Li, Kaiyi Zhao, Ruizhi Sun
Research for an Adaptive Classifier Based on Dynamic Graph Learning. Neural Process. Lett. 54(4): 2675-2693 (2022) - [c4]Rujing Ai
Method for Identifying Early Fire Based on the Marginal End of Lightweight Neural Network. MLNLP 2022: 152-158 - [i7]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 abs/2203.10181 (2022) - [i6]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 abs/2205.15458 (2022) - [i5]Sergei V. Kalinin, Rama K. Vasudevan, Yongtao Liu, Ayana Ghosh, Kevin Roccapriore, Maxim A. Ziatdinov:
Microscopy is All You Need. CoRR abs/2210.06526 (2022) - 2021
- [j5]Yongtao Liu
Decoding the shift-invariant data: applications for band-excitation scanning probe microscopy *. Mach. Learn. Sci. Technol. 2(4): 45028 (2021) - [j4]Wencai Zhou
A Novel Hybrid Approach for Risk Evaluation of Vehicle Failure Modes. Sensors 21(2): 661 (2021) - [i4]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 abs/2104.10207 (2021) - [i3]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 abs/2105.11475 (2021) - 2020
- [j3]Jie Qiao, Fengxiang Xu
Multi-Objective Topological Optimization of an Electric Truck Frame Based on Orthogonal Design and Analytic Hierarchy Process. IEEE Access 8: 140923-140935 (2020) - [j2]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): 108 (2020) - [j1]Yongtao Liu, Ruizhi Sun
Warehouse-Oriented Optimal Path Planning for Autonomous Mobile Fire-Fighting Robots. Secur. Commun. Networks 2020: 6371814:1-6371814:13 (2020) - [c3]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: 642-647 - [i2]Zhengzheng Tu, Yan Ma, Zhun Li, Chenglong Li, Jieming Xu, Yongtao Liu:
RGBT Salient Object Detection: A Large-scale Dataset and Benchmark. CoRR abs/2007.03262 (2020)
2010 – 2019
- 2019
- [c2]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: 296-301 - 2018
- [i1]Yongtao Liu, Xiaopeng Fan, Yang Wang, Debin Zhao, Wen Gao:
A nonlinear transform based analog video transmission framework. CoRR abs/1803.05596 (2018) - 2014
- [c1]Yongtao Liu, Hua Yan, Xiushan Nie, Zhen Liu:
Face Image Super-Resolution Based on Topology ICA and Sparse Representation. ICIAR (1) 2014: 104-111
Coauthor Index
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