Lantao Liu - RankMe

150 papers A* 14A 14B 2C 2Misc 1Journal 92Unranked 25

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ForestSim: A Synthetic Benchmark for Intelligent Vehicle Perception in Unstructured Forest Environments. CoRR Pragat Wagle, Zheng Chen, Lantao Liu
2026	J	`jnl`	LPV-MPC for Lateral Control in Full-Scale Autonomous Racing. CoRR Hassan Jardali, Ihab S. Mohamed, Durgakant Pushp, Lantao Liu
2026	J	`jnl`	MiniUGV CoRR Durgakant Pushp, Swapnil Kalhapure, Shaekh Mohammad Shithil, Lantao Liu
2026	J	`jnl`	Seeing Where to Deploy: Metric RGB-Based Traversability Analysis for Aerial-to-Ground Hidden Space Inspection. CoRR Seoyoung Lee, Shaekh Mohammad Shithil, Durgakant Pushp, Lantao Liu, Zhangyang Wang
2025	B	`conf`	A Bio-Inspired Goal-Directed Cognitive Map Approach to Robot Navigation and Mapping. CEC Matthew Hicks, Tingjun Lei, Chaomin Luo, Lantao Liu, Zhuming Bi
2025	B	`conf`	A Neural Network Approach to Image-Based Navigation and Localization. IJCNN Daniel L. Short, Tingjun Lei, Lantao Liu, Chaomin Luo, Erfu Yang
2025	J	`jnl`	ADEPT: Adaptive Diffusion Environment for Policy Transfer Sim-to-Real. CoRR Youwei Yu, Junhong Xu, Lantao Liu
2025	J	`jnl`	AFRDA: Attentive Feature Refinement for Domain Adaptive Semantic Segmentation. CoRR Md. Al-Masrur Khan, Durgakant Pushp, Lantao Liu
2025	J	`jnl`	AFRDA: Attentive Feature Refinement for Domain Adaptive Semantic Segmentation. IEEE Robotics Autom. Lett. Md. Al-Masrur Khan, Durgakant Pushp, Lantao Liu
2025	J	`jnl`	Action Flow Matching for Continual Robot Learning. CoRR Alejandro Murillo-González, Lantao Liu
2025	J	`jnl`	Chance-Constrained Sampling-Based MPC for Collision Avoidance in Uncertain Dynamic Environments. CoRR Ihab S. Mohamed, Mahmoud Ali, Lantao Liu
2025	J	`jnl`	Chance-Constrained Sampling-Based MPC for Collision Avoidance in Uncertain Dynamic Environments. IEEE Robotics Autom. Lett. Ihab S. Mohamed, Mahmoud Ali, Lantao Liu
2025	J	`jnl`	From Zero to High-Speed Racing: An Autonomous Racing Stack. CoRR Hassan Jardali, Durgakant Pushp, Youwei Yu, Mahmoud Ali, Ihab S. Mohamed, Alejandro Murillo-González, Paul D. Coen, Md. Al-Masrur Khan, Reddy Charan Pulivendula, Saeoul Park, Lingchuan Zhou, Lantao Liu
2025	J	`jnl`	Learning Causal Structure Distributions for Robust Planning. CoRR Alejandro Murillo-González, Junhong Xu, Lantao Liu
2025	J	`jnl`	Learning Causal Structure Distributions for Robust Planning. IEEE Robotics Autom. Lett. Alejandro Murillo-González, Junhong Xu, Lantao Liu
2025	J	`jnl`	Minimalistic Autonomous Stack for High-Speed Time-Trial Racing. CoRR Mahmoud Ali, Hassan Jardali, Youwei Yu, Durgakant Pushp, Lantao Liu
2025	J	`jnl`	Navigating the Wild: Pareto-Optimal Visual Decision-Making in Image Space. CoRR Durgakant Pushp, Weizhe Chen, Zheng Chen, Chaomin Luo, Jason M. Gregory, Lantao Liu
2025	J	`jnl`	Neural Fidelity Calibration for Informative Sim-to-Real Adaptation. CoRR Youwei Yu, Lantao Liu
2025	A*	`conf`	PlanarNeRF: Online Learning of Planar Primitives with Neural Radiance Fields. ICRA Zheng Chen, Qingan Yan, Huangying Zhan, Changjiang Cai, Xiangyu Xu, Yuzhong Huang, Weihan Wang, Ziyue Feng, Yi Xu, Lantao Liu
2025	J	`jnl`	Situationally-Aware Dynamics Learning. CoRR Alejandro Murillo-González, Lantao Liu
2025	J	`jnl`	Toward Efficient MPPI Trajectory Generation With Unscented Guidance: U-MPPI Control Strategy. IEEE Trans. Robotics Ihab S. Mohamed, Junhong Xu, Gaurav S. Sukhatme, Lantao Liu
2024	Misc	`conf`	Adaptive Diffusion Terrain Generator for Autonomous Uneven Terrain Navigation. CoRL Youwei Yu, Junhong Xu, Lantao Liu
2024	J	`jnl`	Adaptive Diffusion Terrain Generator for Autonomous Uneven Terrain Navigation. CoRR Youwei Yu, Junhong Xu, Lantao Liu
2024	J	`jnl`	Adaptive Robotic Information Gathering via non-stationary Gaussian processes. Int. J. Robotics Res. Weizhe Chen, Roni Khardon, Lantao Liu
2024	A*	`conf`	Autonomous Mapless Navigation on Uneven Terrains. ICRA Hassan Jardali, Mahmoud Ali, Lantao Liu
2024	J	`jnl`	Autonomous Mapless Navigation on Uneven Terrains. CoRR Hassan Jardali, Mahmoud Ali, Lantao Liu
2024	J	`jnl`	Boundary-Aware Value Function Generation for Safe Stochastic Motion Planning. CoRR Junhong Xu, Kai Yin, Jason M. Gregory, Kris Hauser, Lantao Liu
2024	J	`jnl`	Boundary-aware value function generation for safe stochastic motion planning. Int. J. Robotics Res. Junhong Xu, Kai Yin, Jason M. Gregory, Kris Hauser, Lantao Liu
2024	J	`jnl`	C^2DA: Contrastive and Context-aware Domain Adaptive Semantic Segmentation. CoRR Md. Al-Masrur Khan, Zheng Chen, Lantao Liu
2024	A	`conf`	Context-Generative Default Policy for Bounded Rational Agent. IROS Durgakant Pushp, Junhong Xu, Zheng Chen, Lantao Liu
2024	J	`jnl`	Context-Generative Default Policy for Bounded Rational Agent. CoRR Durgakant Pushp, Junhong Xu, Zheng Chen, Lantao Liu
2024	—	`conf`	Enhancing Human-Robot Cohesion through HAT Methods: A Crowd-Avoidance Model for Safety Aware Navigation. ICHMS Timothy Sellers, Tingjun Lei, Chaomin Luo, Lantao Liu, Daniel W. Carruth
2024	A*	`conf`	Gaussian Process-based Traversability Analysis for Terrain Mapless Navigation. ICRA Abe Leininger, Mahmoud Ali, Hassan Jardali, Lantao Liu
2024	J	`jnl`	Gaussian Process-based Traversability Analysis for Terrain Mapless Navigation. CoRR Abe Leininger, Mahmoud Ali, Hassan Jardali, Lantao Liu
2024	J	`jnl`	Kernel-based diffusion approximated Markov decision processes for autonomous navigation and control on unstructured terrains. Int. J. Robotics Res. Junhong Xu, Kai Yin, Zheng Chen, Jason M. Gregory, Ethan A. Stump, Lantao Liu
2024	—	`conf`	POAM: Probabilistic Online Attentive Mapping for Efficient Robotic Information Gathering. Robotics: Science and Systems Weizhe Chen, Lantao Liu, Roni Khardon
2024	J	`jnl`	POAM: Probabilistic Online Attentive Mapping for Efficient Robotic Information Gathering. CoRR Weizhe Chen, Lantao Liu, Roni Khardon
2024	J	`jnl`	PlanarNeRF: Online Learning of Planar Primitives with Neural Radiance Fields. CoRR Zheng Chen, Qingan Yan, Huangying Zhan, Changjiang Cai, Xiangyu Xu, Yuzhong Huang, Weihan Wang, Ziyue Feng, Lantao Liu, Yi Xu
2024	A	`conf`	SePaint: Semantic Map Inpainting via Multinomial Diffusion. IROS Zheng Chen, Deepak Duggirala, David J. Crandall, Lei Jiang, Lantao Liu
2024	A	`conf`	Show Your Face: Restoring Complete Facial Images from Partial Observations for VR Meeting. WACV Zheng Chen, Zhiqi Zhang, Junsong Yuan, Yi Xu, Lantao Liu
2024	A	`conf`	Visual-Geometry GP-based Navigable Space for Autonomous Navigation. IROS Mahmoud Ali, Durgakant Pushp, Zheng Chen, Lantao Liu
2024	J	`jnl`	Visual-Geometry GP-based Navigable Space for Autonomous Navigation. CoRR Mahmoud Ali, Durgakant Pushp, Zheng Chen, Lantao Liu
2023	J	`jnl`	A Convex Optimization Approach to Multi-Robot Task Allocation and Path Planning. Sensors Tingjun Lei, Pradeep Chintam, Chaomin Luo, Lantao Liu, Gene Eu Jan
2023	J	`jnl`	Adaptive Robotic Information Gathering via Non-Stationary Gaussian Processes. CoRR Weizhe Chen, Roni Khardon, Lantao Liu
2023	—	`conf`	Autonomous Navigation, Mapping and Exploration with Gaussian Processes. Robotics: Science and Systems Mahmoud Ali, Hassan Jardali, Nicholas Roy, Lantao Liu
2023	A*	`conf`	Causal Inference for De-biasing Motion Estimation from Robotic Observational Data. ICRA Junhong Xu, Kai Yin, Jason M. Gregory, Lantao Liu
2023	A	`conf`	Coordination of Bounded Rational Drones Through Informed Prior Policy. IROS Durgakant Pushp, Junhong Xu, Lantao Liu
2023	J	`jnl`	Coordination of Bounded Rational Drones through Informed Prior Policy. CoRR Durgakant Pushp, Junhong Xu, Lantao Liu
2023	A*	`conf`	GP-Frontier for Local Mapless Navigation. ICRA Mahmoud Ali, Lantao Liu
2023	J	`jnl`	GP-Frontier for Local Mapless Navigation. CoRR Mahmoud Ali, Lantao Liu
2023	A	`conf`	GP-Guided MPPI for Efficient Navigation in Complex Unknown Cluttered Environments. IROS Ihab S. Mohamed, Mahmoud Ali, Lantao Liu
2023	J	`jnl`	GP-guided MPPI for Efficient Navigation in Complex Unknown Cluttered Environments. CoRR Ihab S. Mohamed, Mahmoud Ali, Lantao Liu
2023	A	`conf`	IDA: Informed Domain Adaptive Semantic Segmentation. IROS Zheng Chen, Zhengming Ding, Jason M. Gregory, Lantao Liu
2023	J	`jnl`	IDA: Informed Domain Adaptive Semantic Segmentation. CoRR Zheng Chen, Zhengming Ding, Jason M. Gregory, Lantao Liu
2023	A*	`conf`	Light-Weight Pointcloud Representation with Sparse Gaussian Process. ICRA Mahmoud Ali, Lantao Liu
2023	J	`jnl`	Light-Weight Pointcloud Representation with Sparse Gaussian Process. CoRR Mahmoud Ali, Lantao Liu
2023	J	`jnl`	Long-Term Autonomous Ocean Monitoring with Streaming Samples. CoRR Weizhe Chen, Lantao Liu
2023	A*	`conf`	Model-Agnostic Multi-Agent Perception Framework. ICRA Runsheng Xu, Weizhe Chen, Hao Xiang, Xin Xia, Lantao Liu, Jiaqi Ma
2023	J	`jnl`	Multi-Objective and Model-Predictive Tree Search for Spatiotemporal Informative Planning. CoRR Weizhe Chen, Lantao Liu
2023	—	`conf`	POVNav: A Pareto-Optimal Mapless Visual Navigator. ISER Durgakant Pushp, Zheng Chen, Chaomin Luo, Jason M. Gregory, Lantao Liu
2023	J	`jnl`	POVNav: A Pareto-Optimal Mapless Visual Navigator. CoRR Durgakant Pushp, Zheng Chen, Chaomin Luo, Jason M. Gregory, Lantao Liu
2023	J	`jnl`	Polyline Generative Navigable Space Segmentation for Autonomous Visual Navigation. IEEE Robotics Autom. Lett. Zheng Chen, Zhengming Ding, David J. Crandall, Lantao Liu
2023	J	`jnl`	Pseudo-Trilateral Adversarial Training for Domain Adaptive Traversability Prediction. CoRR Zheng Chen, Durgakant Pushp, Jason M. Gregory, Lantao Liu
2023	J	`jnl`	Pseudo-trilateral adversarial training for domain adaptive traversability prediction. Auton. Robots Zheng Chen, Durgakant Pushp, Jason M. Gregory, Lantao Liu
2023	J	`jnl`	SePaint: Semantic Map Inpainting via Multinomial Diffusion. CoRR Zheng Chen, Deepak Duggirala, David Crandall, Lei Jiang, Lantao Liu
2023	J	`jnl`	Towards Efficient MPPI Trajectory Generation with Unscented Guidance: U-MPPI Control Strategy. CoRR Ihab S. Mohamed, Junhong Xu, Gaurav S. Sukhatme, Lantao Liu
2022	—	`conf`	AK: Attentive Kernel for Information Gathering. Robotics: Science and Systems Weizhe Chen, Roni Khardon, Lantao Liu
2022	J	`jnl`	AK: Attentive Kernel for Information Gathering. CoRR Weizhe Chen, Roni Khardon, Lantao Liu
2022	J	`jnl`	An Artificial Neural Network-Based Model Predictive Control for Three-Phase Flying Capacitor Multilevel Inverter. IEEE Access Abualkasim Bakeer, Ihab S. Mohamed, Parisa Boodaghi Malidarreh, Intissar Hattabi, Lantao Liu
2022	J	`jnl`	Autonomous Navigation of AGVs in Unknown Cluttered Environments: Log-MPPI Control Strategy. IEEE Robotics Autom. Lett. Ihab S. Mohamed, Kai Yin, Lantao Liu
2022	J	`jnl`	Autonomous Navigation of AGVs in Unknown Cluttered Environments: log-MPPI Control Strategy. CoRR Ihab S. Mohamed, Kai Yin, Lantao Liu
2022	—	`conf`	CALI: Coarse-to-Fine ALIgnments Based Unsupervised Domain Adaptation of Traversability Prediction for Deployable Autonomous Navigation. Robotics: Science and Systems Zheng Chen, Durgakant Pushp, Lantao Liu
2022	J	`jnl`	CALI: Coarse-to-Fine ALIgnments Based Unsupervised Domain Adaptation of Traversability Prediction for Deployable Autonomous Navigation. CoRR Zheng Chen, Durgakant Pushp, Lantao Liu
2022	J	`jnl`	Causal Inference for De-biasing Motion Estimation from Robotic Observational Data. CoRR Junhong Xu, Kai Yin, Jason M. Gregory, Lantao Liu
2022	—	`conf`	Decision-Making Among Bounded Rational Agents. DARS Junhong Xu, Durgakant Pushp, Kai Yin, Lantao Liu
2022	J	`jnl`	Decision-Making Among Bounded Rational Agents. CoRR Junhong Xu, Durgakant Pushp, Kai Yin, Lantao Liu
2022	J	`jnl`	From MPC-Based to End-to-End (E2E) Learning-Based Control Policy for Grid-Tied 3L-NPC Transformerless Inverter. IEEE Access Sherif A. Zaid, Ihab S. Mohamed, Abualkasim Bakeer, Lantao Liu, Hani A. Albalawi, Mohamed E. Tawfiq, Ahmed M. Kassem
2022	A*	`conf`	Informative Planning in the Presence of Outliers. ICRA Weizhe Chen, Lantao Liu
2022	J	`jnl`	Model-Agnostic Multi-Agent Perception Framework. CoRR Weizhe Chen, Runsheng Xu, Hao Xiang, Lantao Liu, Jiaqi Ma
2022	J	`jnl`	Multitask Allocation Framework With Spatial Dislocation Collision Avoidance for Multiple Aerial Robots. IEEE Trans. Aerosp. Electron. Syst. Tingjun Lei, Chaomin Luo, Timothy Sellers, Ying Wang, Lantao Liu
2022	A	`conf`	UAV-miniUGV Hybrid System for Hidden Area Exploration and Manipulation. IROS Durgakant Pushp, Swapnil Kalhapure, Kaushik Das, Lantao Liu
2022	J	`jnl`	UAV-miniUGV Hybrid System for Hidden Area Exploration and Manipulation. CoRR Durgakant Pushp, Swapnil Kalhapure, Kaushik Das, Lantao Liu
2021	J	`jnl`	An Artificial Neural Network-Based Model Predictive Control for Three-phase Flying Capacitor Multi-Level Inverter. CoRR Parisa Boodaghi Malidarreh, Abualkasim Bakeer, Ihab S. Mohamed, Lantao Liu
2021	J	`jnl`	Artificial Neural Network-Based Voltage Control of DC/DC Converter for DC Microgrid Applications. CoRR Hussain Sarwar Khan, Ihab S. Mohamed, Kimmo Kauhaniemi, Lantao Liu
2021	A*	`conf`	Efficient Map Prediction via Low-Rank Matrix Completion. ICRA Zheng Chen, Shi Bai, Lantao Liu
2021	J	`jnl`	Efficient Map Prediction via Low-Rank Matrix Completion. CoRR Zheng Chen, Shi Bai, Lantao Liu
2021	J	`jnl`	Informative Planning in the Presence of Outliers. CoRR Weizhe Chen, Lantao Liu
2021	J	`jnl`	Kernel-based Diffusion Approximated Markov Decision Processes for Off-Road Autonomous Navigation and Control. CoRR Junhong Xu, Kai Yin, Zheng Chen, Jason M. Gregory, Ethan A. Stump, Lantao Liu
2021	J	`jnl`	Multi-Objective Autonomous Exploration on Real-Time Continuous Occupancy Maps. CoRR Zheng Chen, Weizhe Chen, Shi Bai, Lantao Liu
2021	J	`jnl`	NSS-VAEs: Generative Scene Decomposition for Visual Navigable Space Construction. CoRR Zheng Chen, Lantao Liu
2021	J	`jnl`	Navigable Space Construction from Sparse Noisy Point Clouds. IEEE Robotics Autom. Lett. Zheng Chen, Lantao Liu
2021	J	`jnl`	Pareto Monte Carlo Tree Search for Multi-Objective Informative Planning. CoRR Weizhe Chen, Lantao Liu
2021	J	`jnl`	Polyline Based Generative Navigable Space Segmentation for Autonomous Visual Navigation. CoRR Zheng Chen, Zhengming Ding, David Crandall, Lantao Liu
2020	A*	`conf`	AutoQ: Automated Kernel-Wise Neural Network Quantization. ICLR Qian Lou, Feng Guo, Minje Kim, Lantao Liu, Lei Jiang
2020	—	`conf`	Kernel Taylor-Based Value Function Approximation for Continuous-State Markov Decision Processes. Robotics: Science and Systems Junhong Xu, Kai Yin, Lantao Liu
2020	J	`jnl`	Kernel Taylor-Based Value Function Approximation for Continuous-State Markov Decision Processes. CoRR Junhong Xu, Kai Yin, Lantao Liu
2020	A	`conf`	Online Planning in Uncertain and Dynamic Environment in the Presence of Multiple Mobile Vehicles. IROS Junhong Xu, Kai Yin, Lantao Liu
2020	J	`jnl`	Online Planning in Uncertain and Dynamic Environment in the Presence of Multiple Mobile Vehicles. CoRR Junhong Xu, Kai Yin, Lantao Liu
2020	J	`jnl`	State-Continuity Approximation of Markov Decision Processes via Finite Element Methods for Autonomous System Planning. IEEE Robotics Autom. Lett. Junhong Xu, Kai Yin, Lantao Liu
2020	J	`jnl`	Swarming of Aerial Robots with Markov Random Field Optimization. CoRR Malintha Fernando, Lantao Liu
2019	—	`conf`	A Visual Feature based Obstacle Avoidance Method for Autonomous Navigation. AIPR Zheng Chen, Malintha Fernando, Lantao Liu
2019	J	`jnl`	Accelerating Goal-Directed Reinforcement Learning by Model Characterization. CoRR Shoubhik Debnath, Gaurav S. Sukhatme, Lantao Liu
2019	J	`jnl`	AutoQB: AutoML for Network Quantization and Binarization on Mobile Devices. CoRR Qian Lou, Lantao Liu, Minje Kim, Lei Jiang
2019	J	`jnl`	Creating Navigable Space from Sparse Noisy Map Points. CoRR Zheng Chen, Lantao Liu
2019	—	`conf`	High Precision Spatiotemporal Datum Design Based on Ground Observation Position. CSPS Yufei Huang, Ji Gao, Dan Wang, Yong Liu, Zhengji Song, Jia Xu, Lantao Liu
2019	—	`conf`	Multi-Objective and Model-Predictive Tree Search for Spatiotemporal Informative Planning. CDC Weizhe Chen, Lantao Liu
2019	—	`conf`	Pareto Monte Carlo Tree Search for Multi-Objective Informative Planning. Robotics: Science and Systems Weizhe Chen, Lantao Liu
2019	J	`jnl`	Reachability and Differential based Heuristics for Solving Markov Decision Processes. CoRR Shoubhik Debnath, Lantao Liu, Gaurav S. Sukhatme
2019	—	`conf`	Reachable Space Characterization of Markov Decision Processes with Time Variability. Robotics: Science and Systems Junhong Xu, Kai Yin, Lantao Liu
2019	J	`jnl`	Reachable Space Characterization of Markov Decision Processes with Time Variability. CoRR Junhong Xu, Kai Yin, Lantao Liu
2019	J	`jnl`	Solving Markov Decision Processes with Reachability Characterization from Mean First Passage Times. CoRR Shoubhik Debnath, Lantao Liu, Gaurav S. Sukhatme
2019	J	`jnl`	State-Continuity Approximation of Markov Decision Processes via Finite Element Analysis for Autonomous System Planning. CoRR Junhong Xu, Kai Yin, Lantao Liu
2018	J	`jnl`	A Solution to Time-Varying Markov Decision Processes. IEEE Robotics Autom. Lett. Lantao Liu, Gaurav S. Sukhatme
2018	A	`conf`	Accelerating Goal-Directed Reinforcement Learning by Model Characterization. IROS Shoubhik Debnath, Gaurav S. Sukhatme, Lantao Liu
2018	J	`jnl`	Data-driven learning and planning for environmental sampling. J. Field Robotics Kai-Chieh Ma, Lantao Liu, Hordur Kristinn Heidarsson, Gaurav S. Sukhatme
2018	J	`jnl`	Learning Partially Structured Environmental Dynamics for Marine Robotic Navigation. CoRR Chen Huang, Kai Yin, Lantao Liu
2018	—	`conf`	Learning to Act in Partially Structured Dynamic Environment. AAAI Spring Symposia Chen Huang, Lantao Liu, Gaurav S. Sukhatme
2018	A	`conf`	Solving Markov Decision Processes with Reachability Characterization from Mean First Passage Times. IROS Shoubhik Debnath, Lantao Liu, Gaurav S. Sukhatme
2017	A	`conf`	A spatio-temporal representation for the orienteering problem with time-varying profits. IROS Zhibei Ma, Kai Yin, Lantao Liu, Gaurav S. Sukhatme
2017	J	`jnl`	Data-Driven Learning and Planning for Environmental Sampling. CoRR Kai-Chieh Ma, Lantao Liu, Hordur Kristinn Heidarsson, Gaurav S. Sukhatme
2017	A*	`conf`	Informative planning and online learning with sparse Gaussian processes. ICRA Kai-Chieh Ma, Lantao Liu, Gaurav S. Sukhatme
2017	C	`conf`	Reachability and Differential Based Heuristics for Solving Markov Decision Processes. ISRR Shoubhik Debnath, Lantao Liu, Gaurav S. Sukhatme
2016	J	`jnl`	A Spatio-Temporal Representation for the Orienteering Problem with Time-Varying Profits. CoRR Zhibei Ma, Kai Yin, Lantao Liu, Gaurav S. Sukhatme
2016	A*	`conf`	An MDP-based approximation method for goal constrained multi-MAV planning under action uncertainty. ICRA Lantao Liu, Nathan Michael
2016	—	`conf`	An adaptive k-opt method for solving traveling salesman problem. CDC Zhibei Ma, Lantao Liu, Gaurav S. Sukhatme
2016	A	`conf`	An information-driven and disturbance-aware planning method for long-term ocean monitoring. IROS Kai-Chieh Ma, Lantao Liu, Gaurav S. Sukhatme
2016	J	`jnl`	Informative Planning and Online Learning with Sparse Gaussian Processes. CoRR Kai-Chieh Ma, Lantao Liu, Gaurav S. Sukhatme
2016	J	`jnl`	Making Decisions with Spatially and Temporally Uncertain Data. CoRR Lantao Liu, Gaurav S. Sukhatme
2016	—	`conf`	Multi-robot Informative and Adaptive Planning for Persistent Environmental Monitoring. DARS Kai-Chieh Ma, Zhibei Ma, Lantao Liu, Gaurav S. Sukhatme
2015	J	`jnl`	Communication constrained task allocation with optimized local task swaps. Auton. Robots Lantao Liu, Nathan Michael, Dylan A. Shell
2014	J	`jnl`	From selfish auctioning to incentivized marketing. Auton. Robots Lantao Liu, Dylan A. Shell, Nathan Michael
2014	—	`conf`	Fully Decentralized Task Swaps with Optimized Local Searching. Robotics: Science and Systems Lantao Liu, Nathan Michael, Dylan A. Shell
2014	C	`conf`	Multi-Vehicle Adaptive Planning with Online Estimated Cost Due to Disturbance Forces. IAS Vishnu R. Desaraju, Lantao Liu, Nathan Michael
2013	J	`jnl`	An anytime assignment algorithm: From local task swapping to global optimality. Auton. Robots Lantao Liu, Dylan A. Shell
2013	—	`conf`	Optimal Market-based Multi-Robot Task Allocation via Strategic Pricing. Robotics: Science and Systems Lantao Liu, Dylan A. Shell
2013	J	`jnl`	Physically routing robots in a multi-robot network: Flexibility through a three-dimensional matching graph. Int. J. Robotics Res. Lantao Liu, Dylan A. Shell
2013	—	`conf`	Scalable Resource Aggregation Service of an ErlangOTP PaaS Platform. SOSE Hanglong Zhan, Lianghuan Kang, Lantao Liu, Donggang Cao
2012	—	`conf`	A Distributable and Computation-flexible Assignment Algorithm: From Local Task Swapping to Global Optimality. Robotics: Science and Systems Lantao Liu, Dylan A. Shell
2012	A	`conf`	An efficient distributed topo-geometric spatial density estimation method for multi-robot systems. IROS Lantao Liu, Dylan A. Shell
2012	J	`jnl`	Large-scale multi-robot task allocation via dynamic partitioning and distribution. Auton. Robots Lantao Liu, Dylan A. Shell
2012	—	`conf`	Multi-Robot Formation Morphing through a Graph Matching Problem. DARS Lantao Liu, Dylan A. Shell
2012	—	`conf`	Tackling task allocation uncertainty via a combinatorial method. SSRR Lantao Liu, Dylan A. Shell
2012	A*	`conf`	Tunable routing solutions for multi-robot navigation via the assignment problem: A 3D representation of the matching graph. ICRA Lantao Liu, Dylan A. Shell
2011	A*	`conf`	Approximate characterization of multi-robot swarm "shapes" in sublinear-time. ICRA Lantao Liu, Benjamin T. Fine, Dylan A. Shell, Andreas Klappenecker
2011	J	`jnl`	Assessing optimal assignment under uncertainty: An interval-based algorithm. Int. J. Robotics Res. Lantao Liu, Dylan A. Shell
2011	J	`jnl`	HDX-Analyzer: a novel package for statistical analysis of protein structure dynamics. BMC Bioinform. Sanmin Liu, Lantao Liu, Ugur Uzuner, Xin Zhou, Manxi Gu, Weibing Shi, Yixiang Zhang, Susie Y. Dai, Joshua S. Yuan
2011	—	`conf`	Multi-Level Partitioning and Distribution of the Assignment Problem for Large-Scale Multi-Robot Task Allocation. Robotics: Science and Systems Lantao Liu, Dylan A. Shell
2010	—	`conf`	Assessing Optimal Assignment under Uncertainty: An Interval-based Algorithm. Robotics: Science and Systems Lantao Liu, Dylan A. Shell
2010	J	`jnl`	Enzyme structure dynamics of xylanase I from Trichoderma longibrachiatum. BMC Bioinform. Ugur Uzuner, Weibing Shi, Lantao Liu, Sanmin Liu, Susie Y. Dai, Joshua S. Yuan
2009	—	`conf`	Design and Implementation of Network Resource Management System Based on SNMP. HIS (2) Fuxiang Gao, Lantao Liu, Miao Li