Yongtao Liu

54 papers Journal 50Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Human-AI Collaborative Autonomous Experimentation With Proxy Modeling for Comparative Observation.
CoRR
Arpan Biswas, Hiroshi Funakubo, Yongtao Liu
2026 J jnl
Quality-Controlled Active Learning via Gaussian Processes for Robust Structure-Property Learning in Autonomous Microscopy.
CoRR
Jawad Chowdhury, Ganesh Narasimha, Jan-Chi Yang, Yongtao Liu, Rama K. Vasudevan
2026 J jnl
RFAssigner: A Generic Label Assignment Strategy for Dense Object Detection.
CoRR
Ziqian Guan, Xieyi Fu, Yuting Wang, Haowen Xiao, Jiarui Zhu, Yingying Zhu, Yongtao Liu, Lin Gu
2025 J jnl
A Self-Selection Personalized Lane-Changing Trajectory Prediction Approach Through a Hybrid Deep Learning Model.
IEEE Trans. Veh. Technol.
Zhao Li, Xia Zhao, Chen Zhao, Yongtao Liu, Chang Wang
2025 J jnl
Beyond Optimization: Exploring Novelty Discovery in Autonomous Experiments.
CoRR
Ralph Bulanadi, Jawad Chowdhury, Hiroshi Funakubo, Maxim A. Ziatdinov, Rama K. Vasudevan, Arpan Biswas, Yongtao Liu
2025 J jnl
Curiosity Driven Exploration to Optimize Structure-Property Learning in Microscopy.
CoRR
Aditya Vatsavai, Ganesh Narasimha, Yongtao Liu, Jan-Chi Yang, Hiroshi Funakubo, Maxim A. Ziatdinov, Rama K. Vasudevan
2025 J jnl
Discrete-Time Inverted Decoupling Internal Model Control of Multivariable Systems Based on Improved Fractional-Order Butterworth Filter.
IEEE Access
Kaiyue Liu, Shuke Lyu, Rui Wang, Chenkang Gao, Xiangyu Yang, Yongtao Liu
2025 J jnl
Effects of interface layouts on cognitive performance for pedicle screw placement simulator in immersive environments.
Int. J. Hum. Comput. Stud.
Lang Qin, Kadek Ananta Satriadi, Jiazhou Liu, Yuhan Zhan, Jiang Shao, Peimeng Liu, Zhiyong Chen, Yongtao Liu
2025 J jnl
Gaussian Combined Distance: A Generic Metric for Object Detection.
CoRR
Ziqian Guan, Xieyi Fu, Pengjun Huang, Hengyuan Zhang, Hubin Du, Yongtao Liu, Yinglin Wang, Qang Ma
2025 J jnl
Gaussian Combined Distance: A Generic Metric for Object Detection.
IEEE Geosci. Remote. Sens. Lett.
Ziqian Guan, Xieyi Fu, Pengjun Huang, Hengyuan Zhang, Hubin Du, Yongtao Liu, Yinglin Wang, Qang Ma
2025 J jnl
Gravity dam displacement monitoring using in situ strain and deep learning.
Comput. Aided Civ. Infrastructure Eng.
Xin Wu, Dongjian Zheng, Xingqiao Chen, Yongtao Liu, Jianchun Qiu, Haifeng Jiang
2025 J jnl
Human-AI collaborative autonomous synthesis with pulsed laser deposition for remote epitaxy.
CoRR
Asraful Haque, Daniel T. Yimam, Jawad Chowdhury, Ralph Bulanadi, Ivan Vlassiouk, John Lasseter, Sujoy Ghosh, Christopher M. Rouleau, Kai Xiao, Yongtao Liu, Eva Zarkadoula, Rama K. Vasudevan, Sumner B. Harris
2025 J jnl
Mic-hackathon 2024: Hackathon on Machine Learning for Electron and Scanning Probe Microscopy.
CoRR
Utkarsh Pratiush, Austin Houston, Kamyar Barakati, Aditya Raghavan, Dasol Yoon, Harikrishnan KP, Zhaslan Baraissov, Desheng Ma, Samuel S. Welborn, Mikolaj Jakowski, Shawn-Patrick Barhorst, Alexander J. Pattison, Panayotis Manganaris, Sita Sirisha Madugula, Sai Venkata Gayathri Ayyagari, Vishal Kennedy, Ralph Bulanadi, Michelle Wang, Kieran J. Pang, Ian Addison-Smith, Willy Menacho, Horacio V. Guzman, Alexander Kiefer, Nicholas Furth, Nikola L. Kolev, Mikhail Petrov, Viktoriia Liu, Sergey Ilyev, Srikar Rairao, Tommaso Rodani, Ivan Pinto-Huguet, Xuli Chen, Josep Cruañes, Marta Torrens, Jovan Pomar, Fanzhi Su, Pawan Vedanti, Zhiheng Lyu, Xingzhi Wang, Lehan Yao, Amir Taqieddin, Forrest Laskowski, Xiangyu Yin, Yu-Tsun Shao, Benjamin Fein-Ashley, Yi Jiang, Vineet Kumar, Himanshu Mishra, Yogesh Paul, Adib Bazgir, Rama Chandra Praneeth Madugula, Yuwen Zhang, Pravan Omprakash, Jian Huang, Eric Montufar-Morales, Vivek Chawla, Harshit Sethi, Jie Huang, Lauri Kurki, Grace Guinan, Addison Salvador, Arman H. Ter-Petrosyan, Madeline Van Winkle, Steven R. Spurgeon, Ganesh Narasimha, Zijie Wu, Richard Liu, Yongtao Liu, Boris N. Slautin, Andrew R. Lupini, Rama K. Vasudevan, Gerd Duscher, Sergei V. Kalinin
2025 J jnl
Mic-hackathon 2024: hackathon on machine learning for electron and scanning probe microscopy.
Mach. Learn. Sci. Technol.
Utkarsh Pratiush, Austin Houston, Kamyar Barakati, Aditya Raghavan, Ralph Bulanadi, Xiangyu Yin, Samuel S. Welborn, Dasol Yoon, Harikrishnan KP, Zhaslan Baraissov, Desheng Ma, Mikolaj Jakowski, Shawn-Patrick Barhorst, Alexander J. Pattison, Panayotis Manganaris, Sita Sirisha Madugula, Sai Venkata Gayathri Ayyagari, Vishal Kennedy, Michelle Wang, Kieran J. Pang, Ian Addison-Smith, Willy Menacho, Horacio V. Guzman, Alexander Kiefer, Nicholas Furth, Nikola L. Kolev, Mikhail Petrov, Viktoriia Liu, Sergey Ilyev, Srikar Rairao, Tommaso Rodani, Ivan Pinto-Huguet, Xuli Chen, Josep Cruañes, Marta Torrens, Jovan Pomar, Fanzhi Su, Pawan Vedanti, Zhiheng Lyu, Xingzhi Wang, Lehan Yao, Amir Taqieddin, Forrest Laskowski, Yu-Tsun Shao, Benjamin Fein-Ashley, Yi Jiang, Vineet Kumar, Himanshu Mishra, Yogesh Paul, Adib Bazgir, Rama Chandra Praneeth Madugula, Yuwen Zhang, Pravan Omprakash, Jian Huang, Eric Montufar-Morales, Vivek Chawla, Harshit Sethi, Jie Huang, Lauri Kurki, Grace Guinan, Addison Salvador, Arman H. Ter-Petrosyan, Madeline Van Winkle, Steven R. Spurgeon, Ganesh Narasimha, Zijie Wu, Richard Liu, Yongtao Liu, Boris N. Slautin, Andrew R. Lupini, Rama K. Vasudevan, Gerd Duscher, Sergei V. Kalinin
2025 J jnl
Robust Adaptive Neural Network Control for Nonlinear CSTRs With Prescribed Control Performance and Event-Triggered Inputs.
IEEE Access
Kaiyue Liu, Xiangyu Yang, Shuke Lyu, Rui Wang, Chenkang Gao, Yongtao Liu
2024 J jnl
An autonomous positioning method for fire robots with multi-source sensors.
Wirel. Networks
Yongtao Liu, Ruizhi Sun, Xiangnan Zhang, Li Li, Guoqing Shi
2024 J jnl
Bayesian Co-navigation: Dynamic Designing of the Materials Digital Twins via Active Learning.
CoRR
Boris N. Slautin, Yongtao Liu, Hiroshi Funakubo, Rama K. Vasudevan, Maxim A. Ziatdinov, Sergei V. Kalinin
2024 J jnl
Building Workflows for Interactive Human in the Loop Automated Experiment (hAE) in STEM-EELS.
CoRR
Utkarsh Pratiush, Kevin M. Roccapriore, Yongtao Liu, Gerd Duscher, Maxim A. Ziatdinov, Sergei V. Kalinin
2024 J jnl
Co-orchestration of Multiple Instruments to Uncover Structure-Property Relationships in Combinatorial Libraries.
CoRR
Boris N. Slautin, Utkarsh Pratiush, Ilia N. Ivanov, Yongtao Liu, Rohit Pant, Xiaohang Zhang, Ichiro Takeuchi, Maxim A. Ziatdinov, Sergei V. Kalinin
2024 J jnl
Disturbance observer-based fixed-time sliding mode trajectory tracking control for marine surface vehicles with uncertain dynamics.
Trans. Inst. Meas. Control
Taiqi Wang, Chang Wang, Shengyu Yan, Yongtao Liu
2024 J jnl
Dynamic Failure Experimental Study of a Gravity Dam Model on a Shaking Table and Analysis of Its Structural Dynamic Characteristics.
Sensors
Jianchun Qiu, Wenqin He, Dongjian Zheng, Yanxin Xu, Shaolong Guo, Tianxiao Ma, Pengcheng Xu, Yongtao Liu
2024 J jnl
Invariant Discovery of Features Across Multiple Length Scales: Applications in Microscopy and Autonomous Materials Characterization.
CoRR
Aditya Raghavan, Utkarsh Pratiush, Mani Valleti, Richard Liu, Reece Emery, Hiroshi Funakubo, Yongtao Liu, Philip D. Rack, Sergei V. Kalinin
2024 J jnl
SANE: Strategic Autonomous Non-Smooth Exploration for Multiple Optima Discovery in Multi-modal and Non-differentiable Black-box Functions.
CoRR
Arpan Biswas, Rama K. Vasudevan, Rohit Pant, Ichiro Takeuchi, Hiroshi Funakubo, Yongtao Liu
2024 J jnl
Synergizing Human Expertise and AI Efficiency with Language Model for Microscopy Operation and Automated Experiment Design.
CoRR
Yongtao Liu, Marti Checa, Rama K. Vasudevan
2024 J jnl
Synergizing human expertise and AI efficiency with language model for microscopy operation and automated experiment design
Mach. Learn. Sci. Technol.
Yongtao Liu, Marti Checa, Rama K. Vasudevan
2024 J jnl
Unraveling the Impact of Initial Choices and In-Loop Interventions on Learning Dynamics in Autonomous Scanning Probe Microscopy.
CoRR
Boris N. Slautin, Yongtao Liu, Hiroshi Funakubo, Sergei V. Kalinin
2023 J jnl
A dynamic Bayesian optimized active recommender system for curiosity-driven Human-in-the-loop automated experiments.
CoRR
Arpan Biswas, Yongtao Liu, Nicole Creange, Yu-Chen Liu, Stephen Jesse, Jan-Chi Yang, Sergei V. Kalinin, Maxim A. Ziatdinov, Rama K. Vasudevan
2023 J jnl
Autonomous scanning probe microscopy with hypothesis learning: Exploring the physics of domain switching in ferroelectric materials.
Patterns
Yongtao Liu, Anna N. Morozovska, Eugene A. Eliseev, Kyle P. Kelley, Rama K. Vasudevan, Maxim A. Ziatdinov, Sergei V. Kalinin
2023 J jnl
Comparing the Effects of Visual Distraction in a High-Fidelity Driving Simulator and on a Real Highway.
IEEE Trans. Intell. Transp. Syst.
Qinyu Sun, Yingshi Guo, Yongtao Liu, Chang Wang, Menglu Gu, Yanqi Su
2023 J jnl
Explainability and human intervention in autonomous scanning probe microscopy.
Patterns
Yongtao Liu, Maxim A. Ziatdinov, Rama K. Vasudevan, Sergei V. Kalinin
2023 J jnl
Exploring the Evolution of Metal Halide Perovskites via Latent Representations of the Photoluminescent Spectra.
Adv. Intell. Syst.
Sheryl Sanchez, Yongtao Liu, Jonghee Yang, Sergei V. Kalinin, Maxim A. Ziatdinov, Mahshid Ahmadi
2023 J jnl
Human-in-the-loop: The future of Machine Learning in Automated Electron Microscopy.
CoRR
Sergei V. Kalinin, Yongtao Liu, Arpan Biswas, Gerd Duscher, Utkarsh Pratiush, Kevin Roccapriore, Maxim A. Ziatdinov, Rama K. Vasudevan
2023 J jnl
Hybrid Cross-Feature Interaction Attention Module for Object Detection in Intelligent Mobile Scenes.
Remote. Sens.
Di Tian, Yi Han, Yongtao Liu, Jiabo Li, Ping Zhang, Ming Liu
2023 J jnl
Physics and Chemistry from Parsimonious Representations: Image Analysis via Invariant Variational Autoencoders.
CoRR
Mani Valleti, Yongtao Liu, Sergei V. Kalinin
2023 J jnl
Probe microscopy is all you need
Mach. Learn. Sci. Technol.
Sergei V. Kalinin, Rama K. Vasudevan, Yongtao Liu, Ayana Ghosh, Kevin Roccapriore, Maxim A. Ziatdinov
2023 J jnl
RGBT Salient Object Detection: A Large-Scale Dataset and Benchmark.
IEEE Trans. Multim.
Zhengzheng Tu, Yan Ma, Zhun Li, Chenglong Li, Jieming Xu, Yongtao Liu
2022 J jnl
Active learning in open experimental environments: selecting the right information channel(s) based on predictability in deep kernel learning.
CoRR
Maxim A. Ziatdinov, Yongtao Liu, Sergei V. Kalinin
2022 J jnl
Bayesian Active Learning for Scanning Probe Microscopy: from Gaussian Processes to Hypothesis Learning.
CoRR
Maxim A. Ziatdinov, Yongtao Liu, Kyle P. Kelley, Rama K. Vasudevan, Sergei V. Kalinin
2022 J jnl
Experimental discovery of structure-property relationships in ferroelectric materials via active learning.
Nat. Mach. Intell.
Yongtao Liu, Kyle P. Kelley, Rama K. Vasudevan, Hiroshi Funakubo, Maxim A. Ziatdinov, Sergei V. Kalinin
2022 — conf
Method for Identifying Early Fire Based on the Marginal End of Lightweight Neural Network.
MLNLP
Rujing Ai, Zhitao Lv, Qiuyu Li, Yongtao Liu
2022 J jnl
Microscopy is All You Need.
CoRR
Sergei V. Kalinin, Rama K. Vasudevan, Yongtao Liu, Ayana Ghosh, Kevin Roccapriore, Maxim A. Ziatdinov
2022 J jnl
Research for an Adaptive Classifier Based on Dynamic Graph Learning.
Neural Process. Lett.
Li Li, Kaiyi Zhao, Ruizhi Sun, Saihua Cai, Yongtao Liu
2021 J jnl
A Novel Hybrid Approach for Risk Evaluation of Vehicle Failure Modes.
Sensors
Wencai Zhou, Zhaowen Qiu, Shun Tian, Yongtao Liu, Lang Wei, Reza Langari
2021 J jnl
Decoding the shift-invariant data: applications for band-excitation scanning probe microscopy
Mach. Learn. Sci. Technol.
Yongtao Liu, Rama K. Vasudevan, Kyle K. Kelley, Dohyung Kim, Yogesh Sharma, Mahshid Ahmadi, Sergei V. Kalinin, Maxim A. Ziatdinov
2021 J jnl
Decoding the shift-invariant data: applications for band-excitation scanning probe microscopy.
CoRR
Yongtao Liu, Rama K. Vasudevan, Kyle P. Kelley, Dohyung Kim, Yogesh Sharma, Mahshid Ahmadi, Sergei V. Kalinin, Maxim A. Ziatdinov
2021 J jnl
Semi-supervised learning of images with strong rotational disorder: assembling nanoparticle libraries.
CoRR
Maxim A. Ziatdinov, Muammer Yusuf Yaman, Yongtao Liu, David S. Ginger, Sergei V. Kalinin
2020 J jnl
Camshift tracking method based on correlation probability graph for model pig.
EURASIP J. Wirel. Commun. Netw.
Xiangnan Zhang, Wenwen Gong, Qifeng He, Haolong Xiang, Dan Li, Yawei Wang, Yifei Chen, Yongtao Liu
2020 — conf
Fast Fire Identification Soft-Core Package Design Based on FPGA.
iThings/GreenCom/CPSCom/SmartData/Cybermatics
Yongtao Liu, Ruizhi Sun, Tianyi Zhang, Xiangnan Zhang, Li Li, Guoqing Shi
2020 J jnl
Multi-Objective Topological Optimization of an Electric Truck Frame Based on Orthogonal Design and Analytic Hierarchy Process.
IEEE Access
Jie Qiao, Fengxiang Xu, Kunying Wu, Suo Zhang, Yongtao Liu
2020 J jnl
RGBT Salient Object Detection: A Large-scale Dataset and Benchmark.
CoRR
Zhengzheng Tu, Yan Ma, Zhun Li, Chenglong Li, Jieming Xu, Yongtao Liu
2020 J jnl
Warehouse-Oriented Optimal Path Planning for Autonomous Mobile Fire-Fighting Robots.
Secur. Commun. Networks
Yongtao Liu, Ruizhi Sun, Tianyi Zhang, Xiangnan Zhang, Li Li, Guoqing Shi
2019 — conf
Camshift Tracking Method Based on Correlation Probability Graph for Model Pig.
iThings/GreenCom/CPSCom/SmartData
Xiangnan Zhang, Wenwen Gong, Qifeng He, Haolong Xiang, Dan Li, Yawei Wang, Yifei Chen, Yaqian Deng, Fanglin Geng, Yongtao Liu
2018 J jnl
A nonlinear transform based analog video transmission framework.
CoRR
Yongtao Liu, Xiaopeng Fan, Yang Wang, Debin Zhao, Wen Gao
2014 — conf
Face Image Super-Resolution Based on Topology ICA and Sparse Representation.
ICIAR (1)
Yongtao Liu, Hua Yan, Xiushan Nie, Zhen Liu