Yongtao Liu
This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.
Bibliography
2026
Beyond Scalar Objectives: Expert-Feedback-Driven Autonomous Experimentation for Scientific Discovery at the Nanoscale.
CoRR, May, 2026
Quality-Controlled Active Learning via Gaussian Processes for Robust Structure-Property Learning in Autonomous Microscopy.
CoRR, March, 2026
Human-AI Collaborative Autonomous Experimentation With Proxy Modeling for Comparative Observation.
CoRR, March, 2026
CoRR, January, 2026
2025
Human-AI collaborative autonomous synthesis with pulsed laser deposition for remote epitaxy.
CoRR, November, 2025
CoRR, August, 2025
CoRR, April, 2025
A Self-Selection Personalized Lane-Changing Trajectory Prediction Approach Through a Hybrid Deep Learning Model.
IEEE Trans. Veh. Technol., January, 2025
Comput. Aided Civ. Infrastructure Eng., January, 2025
Mic-hackathon 2024: hackathon on machine learning for electron and scanning probe microscopy.
Mach. Learn. Sci. Technol., 2025
IEEE Geosci. Remote. Sens. Lett., 2025
Effects of interface layouts on cognitive performance for pedicle screw placement simulator in immersive environments.
Int. J. Hum. Comput. Stud., 2025
Robust Adaptive Neural Network Control for Nonlinear CSTRs With Prescribed Control Performance and Event-Triggered Inputs.
IEEE Access, 2025
Discrete-Time Inverted Decoupling Internal Model Control of Multivariable Systems Based on Improved Fractional-Order Butterworth Filter.
IEEE Access, 2025
2024
Wirel. Networks, July, 2024
Dynamic Failure Experimental Study of a Gravity Dam Model on a Shaking Table and Analysis of Its Structural Dynamic Characteristics.
Sensors, March, 2024
Disturbance observer-based fixed-time sliding mode trajectory tracking control for marine surface vehicles with uncertain dynamics.
Trans. Inst. Meas. Control, 2024
Synergizing human expertise and AI efficiency with language model for microscopy operation and automated experiment design <sup>*</sup>.
Mach. Learn. Sci. Technol., 2024
SANE: Strategic Autonomous Non-Smooth Exploration for Multiple Optima Discovery in Multi-modal and Non-differentiable Black-box Functions.
CoRR, 2024
Invariant Discovery of Features Across Multiple Length Scales: Applications in Microscopy and Autonomous Materials Characterization.
CoRR, 2024
Bayesian Co-navigation: Dynamic Designing of the Materials Digital Twins via Active Learning.
CoRR, 2024
Building Workflows for Interactive Human in the Loop Automated Experiment (hAE) in STEM-EELS.
CoRR, 2024
Co-orchestration of Multiple Instruments to Uncover Structure-Property Relationships in Combinatorial Libraries.
CoRR, 2024
Unraveling the Impact of Initial Choices and In-Loop Interventions on Learning Dynamics in Autonomous Scanning Probe Microscopy.
CoRR, 2024
Synergizing Human Expertise and AI Efficiency with Language Model for Microscopy Operation and Automated Experiment Design.
CoRR, 2024
2023
Patterns, November, 2023
Hybrid Cross-Feature Interaction Attention Module for Object Detection in Intelligent Mobile Scenes.
Remote. Sens., October, 2023
Mach. Learn. Sci. Technol., June, 2023
Exploring the Evolution of Metal Halide Perovskites via Latent Representations of the Photoluminescent Spectra.
Adv. Intell. Syst., May, 2023
Comparing the Effects of Visual Distraction in a High-Fidelity Driving Simulator and on a Real Highway.
IEEE Trans. Intell. Transp. Syst., April, 2023
Autonomous scanning probe microscopy with hypothesis learning: Exploring the physics of domain switching in ferroelectric materials.
Patterns, March, 2023
IEEE Trans. Multim., 2023
CoRR, 2023
A dynamic Bayesian optimized active recommender system for curiosity-driven Human-in-the-loop automated experiments.
CoRR, 2023
Physics and Chemistry from Parsimonious Representations: Image Analysis via Invariant Variational Autoencoders.
CoRR, 2023
2022
Neural Process. Lett., 2022
Experimental discovery of structure-property relationships in ferroelectric materials via active learning.
Nat. Mach. Intell., 2022
Bayesian Active Learning for Scanning Probe Microscopy: from Gaussian Processes to Hypothesis Learning.
CoRR, 2022
Active learning in open experimental environments: selecting the right information channel(s) based on predictability in deep kernel learning.
CoRR, 2022
Method for Identifying Early Fire Based on the Marginal End of Lightweight Neural Network.
Proceedings of the 5th International Conference on Machine Learning and Natural Language Processing, 2022
2021
Decoding the shift-invariant data: applications for band-excitation scanning probe microscopy <sup>*</sup>.
Mach. Learn. Sci. Technol., 2021
Semi-supervised learning of images with strong rotational disorder: assembling nanoparticle libraries.
CoRR, 2021
Decoding the shift-invariant data: applications for band-excitation scanning probe microscopy.
CoRR, 2021
2020
Secur. Commun. Networks, 2020
EURASIP J. Wirel. Commun. Netw., 2020
Multi-Objective Topological Optimization of an Electric Truck Frame Based on Orthogonal Design and Analytic Hierarchy Process.
IEEE Access, 2020
Proceedings of the 2020 International Conferences on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2020
2019
Proceedings of the 2019 International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2019
2018
2014
Proceedings of the Image Analysis and Recognition - 11th International Conference, 2014