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Lantao Liu
Lantao Liu
Indiana University
Bestätigte E-Mail-Adresse bei iu.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Autoq: Automated kernel-wise neural network quantization
Q Lou, F Guo, M Kim, L Liu, L Jiang
International Conference on Learning Representations (ICLR), 2020
1122020
Comparative genomic analysis of the endosymbionts of herbivorous insects reveals eco-environmental adaptations: biotechnology applications
W Shi, S Xie, X Chen, S Sun, X Zhou, L Liu, P Gao, NC Kyrpides, EG No, ...
PLoS genetics 9 (1), e1003131, 2013
1032013
Large-scale multi-robot task allocation via dynamic partitioning and distribution
L Liu, DA Shell
Autonomous Robots 33, 291-307, 2012
1032012
Assessing optimal assignment under uncertainty: An interval-based algorithm
L Liu, DA Shell
The International Journal of Robotics Research 30 (7), 936-953, 2011
982011
Informative planning and online learning with sparse gaussian processes
KC Ma, L Liu, GS Sukhatme
2017 IEEE International Conference on Robotics and Automation (ICRA), 4292-4298, 2017
962017
Data‐driven learning and planning for environmental sampling
KC Ma, L Liu, HK Heidarsson, GS Sukhatme
Journal of Field Robotics 35 (5), 643-661, 2018
852018
Optimal Market-based Multi-Robot Task Allocation via Strategic Pricing
L Liu, DA Shell
Robotics: Science and Systems 9 (1), 33-40, 2013
672013
Pareto Monte Carlo Tree Search for Multi-Objective Informative Planning
W Chen, L Liu
Robotics: Science and Systems, 2019
592019
An information-driven and disturbance-aware planning method for long-term ocean monitoring
KC Ma, L Liu, GS Sukhatme
2016 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2016
572016
Model-Agnostic Multi-Agent Perception Framework
R Xu, W Chen, H Xiang, L Liu, J Ma
IEEE International Conference on Robotics and Automation (ICRA), 2023
552023
A Solution to Time-Varying Markov Decision Processes
L Liu, G Sukhatme
IEEE Robotics and Automation Letters 3 (3), 1631-1638, 2018
552018
Multi-Robot Informative and Adaptive Planning for Persistent Environmental Monitoring
KC Ma, Z Ma, L Liu, GS Sukhatme.
International Symposium on Distributed Autonomous Robotic Systems, 2016
542016
An artificial neural network-based model predictive control for three-phase flying capacitor multilevel inverter
A Bakeer, IS Mohamed, PB Malidarreh, I Hattabi, L Liu
IEEE Access 10, 70305-70316, 2022
522022
HDX-analyzer: a novel package for statistical analysis of protein structure dynamics
S Liu, L Liu, U Uzuner, X Zhou, M Gu, W Shi, Y Zhang, SY Dai, JS Yuan
BMC bioinformatics 12, 1-10, 2011
472011
Artificial neural network-based voltage control of DC/DC converter for dc microgrid applications
HS Khan, IS Mohamed, K Kauhaniemi, L Liu
2021 6th IEEE Workshop on the Electronic Grid (eGRID), 1-6, 2021
412021
Application of an improved proteomics method for abundant protein cleanup: molecular and genomic mechanisms study in plant defense
Y Zhang, P Gao, Z Xing, S Jin, Z Chen, L Liu, N Constantino, X Wang, ...
Molecular & Cellular Proteomics 12 (11), 3431-3442, 2013
352013
Autonomous Navigation of AGVs in Unknown Cluttered Environments: log-MPPI Control Strategy
IS Mohamed, K Yin, L Liu
IEEE Robotics and Automation Letters (RA-L), 2022
332022
Multi-Level Partitioning and Distribution of the Assignment Problem for Large-Scale Multi-Robot Task Allocation.
L Liu, DA Shell
Robotics: Science and Systems, 2011
332011
A distributable and computation-flexible assignment algorithm: From local task swapping to global optimality
L Liu, DA Shell
Robotics: Science and Systems, 257-264, 2012
312012
Information-Driven Path Planning
S Bai, T Shan, F Chen, L Liu, B Englot
Journal of Current Robotics Reports, 2021
282021
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