| Autoq: Automated kernel-wise neural network quantization Q Lou, F Guo, M Kim, L Liu, L Jiang International Conference on Learning Representations (ICLR), 2020 | 109 | 2020 |
| 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 | 104 | 2013 |
| Large-scale multi-robot task allocation via dynamic partitioning and distribution L Liu, DA Shell Autonomous Robots 33, 291-307, 2012 | 103 | 2012 |
| Assessing optimal assignment under uncertainty: An interval-based algorithm L Liu, DA Shell The International Journal of Robotics Research 30 (7), 936-953, 2011 | 98 | 2011 |
| 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 | 94 | 2017 |
| 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 | 83 | 2018 |
| Optimal Market-based Multi-Robot Task Allocation via Strategic Pricing L Liu, DA Shell Robotics: Science and Systems 9 (1), 33-40, 2013 | 66 | 2013 |
| Pareto Monte Carlo Tree Search for Multi-Objective Informative Planning W Chen, L Liu Robotics: Science and Systems, 2019 | 58 | 2019 |
| 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 | 56 | 2016 |
| A Solution to Time-Varying Markov Decision Processes L Liu, G Sukhatme IEEE Robotics and Automation Letters 3 (3), 1631-1638, 2018 | 55 | 2018 |
| 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 | 52 | 2016 |
| 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 | 50 | 2023 |
| 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 | 50 | 2022 |
| 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 | 45 | 2011 |
| 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 | 38 | 2021 |
| 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 | 35 | 2013 |
| 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 | 33 | 2011 |
| 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 | 31 | 2012 |
| 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 | 30 | 2022 |
| Information-Driven Path Planning S Bai, T Shan, F Chen, L Liu, B Englot Journal of Current Robotics Reports, 2021 | 27 | 2021 |
Dylan ShellDepartment of Computer Science & Engineering, Texas A&M UniversityVerified email at cs.tamu.edu
