Design and Implementation of Network Resource Management System Based on SNMP. - Fuxiang Gao; Lantao Liu; Miao Li (HIS (2), 2009)

Enzyme structure dynamics of xylanase I from Trichoderma longibrachiatum. - Ugur Uzuner; Weibing Shi; Lantao Liu; Sanmin Liu; Susie Y. Dai; Joshua S. Yuan (BMC Bioinform., 2010)

Approximate characterization of multi-robot swarm "shapes" in sublinear-time. - Lantao Liu; Benjamin T. Fine; Dylan A. Shell; Andreas Klappenecker (ICRA, 2011)

Multi-Level Partitioning and Distribution of the Assignment Problem for Large-Scale Multi-Robot Task Allocation. - Lantao Liu; Dylan A. Shell (Robotics: Science and Systems, 2011)

HDX-Analyzer: a novel package for statistical analysis of protein structure dynamics. - Sanmin Liu; Lantao Liu; Ugur Uzuner; Xin Zhou; Manxi Gu; Weibing Shi; Yixiang Zhang; Susie Y. Dai; Joshua S. Yuan (BMC Bioinform., 2011)

Assessing optimal assignment under uncertainty: An interval-based algorithm. - Lantao Liu; Dylan A. Shell (Int. J. Robotics Res., 2011)

Multi-Robot Formation Morphing through a Graph Matching Problem. - Lantao Liu; Dylan A. Shell (DARS, 2012)

Tunable routing solutions for multi-robot navigation via the assignment problem: A 3D representation of the matching graph. - Lantao Liu; Dylan A. Shell (ICRA, 2012)

An efficient distributed topo-geometric spatial density estimation method for multi-robot systems. - Lantao Liu; Dylan A. Shell (IROS, 2012)

A Distributable and Computation-flexible Assignment Algorithm: From Local Task Swapping to Global Optimality. - Lantao Liu; Dylan A. Shell (Robotics: Science and Systems, 2012)

Tackling task allocation uncertainty via a combinatorial method. - Lantao Liu; Dylan A. Shell (SSRR, 2012)

Large-scale multi-robot task allocation via dynamic partitioning and distribution. - Lantao Liu; Dylan A. Shell (Auton. Robots, 2012)

Optimal Market-based Multi-Robot Task Allocation via Strategic Pricing. - Lantao Liu; Dylan A. Shell (Robotics: Science and Systems, 2013)

Scalable Resource Aggregation Service of an ErlangOTP PaaS Platform. - Hanglong Zhan; Lianghuan Kang; Lantao Liu; Donggang Cao (SOSE, 2013)

An anytime assignment algorithm: From local task swapping to global optimality. - Lantao Liu; Dylan A. Shell (Auton. Robots, 2013)

Physically routing robots in a multi-robot network: Flexibility through a three-dimensional matching graph. - Lantao Liu; Dylan A. Shell (Int. J. Robotics Res., 2013)

Multi-Vehicle Adaptive Planning with Online Estimated Cost Due to Disturbance Forces. - Vishnu R. Desaraju; Lantao Liu; Nathan Michael (IAS, 2014)

Fully Decentralized Task Swaps with Optimized Local Searching. - Lantao Liu; Nathan Michael; Dylan A. Shell (Robotics: Science and Systems, 2014)

From selfish auctioning to incentivized marketing. - Lantao Liu; Dylan A. Shell; Nathan Michael (Auton. Robots, 2014)

Communication constrained task allocation with optimized local task swaps. - Lantao Liu; Nathan Michael; Dylan A. Shell (Auton. Robots, 2015)

An adaptive k-opt method for solving traveling salesman problem. - Zhibei Ma; Lantao Liu; Gaurav S. Sukhatme (CDC, 2016)

Multi-robot Informative and Adaptive Planning for Persistent Environmental Monitoring. - Kai-Chieh Ma; Zhibei Ma; Lantao Liu; Gaurav S. Sukhatme (DARS, 2016)

An MDP-based approximation method for goal constrained multi-MAV planning under action uncertainty. - Lantao Liu; Nathan Michael (ICRA, 2016)

An information-driven and disturbance-aware planning method for long-term ocean monitoring. - Kai-Chieh Ma; Lantao Liu; Gaurav S. Sukhatme (IROS, 2016)

Making Decisions with Spatially and Temporally Uncertain Data. - Lantao Liu; Gaurav S. Sukhatme (CoRR, 2016)

Informative planning and online learning with sparse Gaussian processes. - Kai-Chieh Ma; Lantao Liu; Gaurav S. Sukhatme (ICRA, 2017)

A spatio-temporal representation for the orienteering problem with time-varying profits. - Zhibei Ma; Kai Yin; Lantao Liu; Gaurav S. Sukhatme (IROS, 2017)

Reachability and Differential Based Heuristics for Solving Markov Decision Processes. - Shoubhik Debnath; Lantao Liu; Gaurav S. Sukhatme (ISRR, 2017)

Learning to Act in Partially Structured Dynamic Environment. - Chen Huang; Lantao Liu; Gaurav S. Sukhatme (AAAI Spring Symposia, 2018)

Solving Markov Decision Processes with Reachability Characterization from Mean First Passage Times. - Shoubhik Debnath; Lantao Liu; Gaurav S. Sukhatme (IROS, 2018)

Accelerating Goal-Directed Reinforcement Learning by Model Characterization. - Shoubhik Debnath; Gaurav S. Sukhatme; Lantao Liu (IROS, 2018)

Learning Partially Structured Environmental Dynamics for Marine Robotic Navigation. - Chen Huang; Kai Yin; Lantao Liu (CoRR, 2018)

Data-driven learning and planning for environmental sampling. - Kai-Chieh Ma; Lantao Liu; Hordur Kristinn Heidarsson; Gaurav S. Sukhatme (J. Field Robotics, 2018)

A Solution to Time-Varying Markov Decision Processes. - Lantao Liu; Gaurav S. Sukhatme (IEEE Robotics Autom. Lett., 2018)

A Visual Feature based Obstacle Avoidance Method for Autonomous Navigation. - Zheng Chen 016; Malintha Fernando; Lantao Liu (AIPR, 2019)

Multi-Objective and Model-Predictive Tree Search for Spatiotemporal Informative Planning. - Weizhe Chen 004; Lantao Liu (CDC, 2019)

High Precision Spatiotemporal Datum Design Based on Ground Observation Position. - Yufei Huang 009; Ji Gao; Dan Wang; Yong Liu; Zhengji Song; Jia Xu; Lantao Liu (CSPS, 2019)

Pareto Monte Carlo Tree Search for Multi-Objective Informative Planning. - Weizhe Chen 004; Lantao Liu (Robotics: Science and Systems, 2019)

Reachable Space Characterization of Markov Decision Processes with Time Variability. - Junhong Xu; Kai Yin; Lantao Liu (Robotics: Science and Systems, 2019)

AutoQB: AutoML for Network Quantization and Binarization on Mobile Devices. - Qian Lou; Lantao Liu; Minje Kim; Lei Jiang 001 (CoRR, 2019)

State-Continuity Approximation of Markov Decision Processes via Finite Element Analysis for Autonomous System Planning. - Junhong Xu; Kai Yin; Lantao Liu (CoRR, 2019)

Creating Navigable Space from Sparse Noisy Map Points. - Zheng Chen 016; Lantao Liu (CoRR, 2019)

AutoQ: Automated Kernel-Wise Neural Network Quantization. - Qian Lou; Feng Guo; Minje Kim; Lantao Liu; Lei Jiang 001 (ICLR, 2020)

Online Planning in Uncertain and Dynamic Environment in the Presence of Multiple Mobile Vehicles. - Junhong Xu; Kai Yin; Lantao Liu (IROS, 2020)

Kernel Taylor-Based Value Function Approximation for Continuous-State Markov Decision Processes. - Junhong Xu; Kai Yin; Lantao Liu (Robotics: Science and Systems, 2020)

Swarming of Aerial Robots with Markov Random Field Optimization. - Malintha Fernando; Lantao Liu (CoRR, 2020)

State-Continuity Approximation of Markov Decision Processes via Finite Element Methods for Autonomous System Planning. - Junhong Xu; Kai Yin; Lantao Liu (IEEE Robotics Autom. Lett., 2020)

Efficient Map Prediction via Low-Rank Matrix Completion. - Zheng Chen 016; Shi Bai; Lantao Liu (ICRA, 2021)

An Artificial Neural Network-Based Model Predictive Control for Three-phase Flying Capacitor Multi-Level Inverter. - Parisa Boodaghi Malidarreh; Abualkasim Bakeer; Ihab S. Mohamed; Lantao Liu (CoRR, 2021)

Polyline Based Generative Navigable Space Segmentation for Autonomous Visual Navigation. - Zheng Chen 016; Zhengming Ding; David Crandall; Lantao Liu (CoRR, 2021)

Multi-Objective Autonomous Exploration on Real-Time Continuous Occupancy Maps. - Zheng Chen 016; Weizhe Chen 004; Shi Bai; Lantao Liu (CoRR, 2021)

NSS-VAEs: Generative Scene Decomposition for Visual Navigable Space Construction. - Zheng Chen 016; Lantao Liu (CoRR, 2021)

Artificial Neural Network-Based Voltage Control of DC/DC Converter for DC Microgrid Applications. - Hussain Sarwar Khan; Ihab S. Mohamed; Kimmo Kauhaniemi; Lantao Liu (CoRR, 2021)

Kernel-based Diffusion Approximated Markov Decision Processes for Off-Road Autonomous Navigation and Control. - Junhong Xu; Kai Yin; Zheng Chen 016; Jason M. Gregory; Ethan A. Stump; Lantao Liu (CoRR, 2021)

Navigable Space Construction from Sparse Noisy Point Clouds. - Zheng Chen 016; Lantao Liu (IEEE Robotics Autom. Lett., 2021)

Decision-Making Among Bounded Rational Agents. - Junhong Xu; Durgakant Pushp; Kai Yin; Lantao Liu (DARS, 2022)

Informative Planning in the Presence of Outliers. - Weizhe Chen 004; Lantao Liu (ICRA, 2022)

UAV-miniUGV Hybrid System for Hidden Area Exploration and Manipulation. - Durgakant Pushp; Swapnil Kalhapure; Kaushik Das; Lantao Liu (IROS, 2022)

AK: Attentive Kernel for Information Gathering. - Weizhe Chen 004; Roni Khardon; Lantao Liu (Robotics: Science and Systems, 2022)

CALI: Coarse-to-Fine ALIgnments Based Unsupervised Domain Adaptation of Traversability Prediction for Deployable Autonomous Navigation. - Zheng Chen 016; Durgakant Pushp; Lantao Liu (Robotics: Science and Systems, 2022)

An Artificial Neural Network-Based Model Predictive Control for Three-Phase Flying Capacitor Multilevel Inverter. - Abualkasim Bakeer; Ihab S. Mohamed; Parisa Boodaghi Malidarreh; Intissar Hattabi; Lantao Liu (IEEE Access, 2022)

From MPC-Based to End-to-End (E2E) Learning-Based Control Policy for Grid-Tied 3L-NPC Transformerless Inverter. - Sherif A. Zaid; Ihab S. Mohamed; Abualkasim Bakeer; Lantao Liu; Hani A. Albalawi; Mohamed E. Tawfiq; Ahmed M. Kassem (IEEE Access, 2022)

Model-Agnostic Multi-Agent Perception Framework. - Weizhe Chen 004; Runsheng Xu; Hao Xiang; Lantao Liu; Jiaqi Ma 003 (CoRR, 2022)

Autonomous Navigation of AGVs in Unknown Cluttered Environments: Log-MPPI Control Strategy. - Ihab S. Mohamed; Kai Yin; Lantao Liu (IEEE Robotics Autom. Lett., 2022)

Multitask Allocation Framework With Spatial Dislocation Collision Avoidance for Multiple Aerial Robots. - Tingjun Lei; Chaomin Luo; Timothy Sellers; Ying Wang 035; Lantao Liu (IEEE Trans. Aerosp. Electron. Syst., 2022)

Light-Weight Pointcloud Representation with Sparse Gaussian Process. - Mahmoud Ali; Lantao Liu (ICRA, 2023)

GP-Frontier for Local Mapless Navigation. - Mahmoud Ali; Lantao Liu (ICRA, 2023)

Model-Agnostic Multi-Agent Perception Framework. - Runsheng Xu; Weizhe Chen 004; Hao Xiang; Xin Xia 007; Lantao Liu; Jiaqi Ma 003 (ICRA, 2023)

Causal Inference for De-biasing Motion Estimation from Robotic Observational Data. - Junhong Xu; Kai Yin; Jason M. Gregory; Lantao Liu (ICRA, 2023)

IDA: Informed Domain Adaptive Semantic Segmentation. - Zheng Chen 016; Zhengming Ding; Jason M. Gregory; Lantao Liu (IROS, 2023)

GP-Guided MPPI for Efficient Navigation in Complex Unknown Cluttered Environments. - Ihab S. Mohamed; Mahmoud Ali; Lantao Liu (IROS, 2023)

Coordination of Bounded Rational Drones Through Informed Prior Policy. - Durgakant Pushp; Junhong Xu; Lantao Liu (IROS, 2023)

POVNav: A Pareto-Optimal Mapless Visual Navigator. - Durgakant Pushp; Zheng Chen 016; Chaomin Luo; Jason M. Gregory; Lantao Liu (ISER, 2023)

Autonomous Navigation, Mapping and Exploration with Gaussian Processes. - Mahmoud Ali; Hassan Jardali; Nicholas Roy; Lantao Liu (Robotics: Science and Systems, 2023)

Long-Term Autonomous Ocean Monitoring with Streaming Samples. - Weizhe Chen 004; Lantao Liu (CoRR, 2023)

Towards Efficient MPPI Trajectory Generation with Unscented Guidance: U-MPPI Control Strategy. - Ihab S. Mohamed; Junhong Xu; Gaurav S. Sukhatme; Lantao Liu (CoRR, 2023)

A Convex Optimization Approach to Multi-Robot Task Allocation and Path Planning. - Tingjun Lei; Pradeep Chintam; Chaomin Luo; Lantao Liu; Gene Eu Jan (Sensors, 2023)

Polyline Generative Navigable Space Segmentation for Autonomous Visual Navigation. - Zheng Chen 016; Zhengming Ding; David J. Crandall; Lantao Liu (IEEE Robotics Autom. Lett., 2023)

Pseudo-trilateral adversarial training for domain adaptive traversability prediction. - Zheng Chen 016; Durgakant Pushp; Jason M. Gregory; Lantao Liu (Auton. Robots, 2023)

Adaptive Diffusion Terrain Generator for Autonomous Uneven Terrain Navigation. - Youwei Yu; Junhong Xu; Lantao Liu (CoRL, 2024)

Enhancing Human-Robot Cohesion through HAT Methods: A Crowd-Avoidance Model for Safety Aware Navigation. - Timothy Sellers; Tingjun Lei; Chaomin Luo; Lantao Liu; Daniel W. Carruth (ICHMS, 2024)

Autonomous Mapless Navigation on Uneven Terrains. - Hassan Jardali; Mahmoud Ali; Lantao Liu (ICRA, 2024)

Gaussian Process-based Traversability Analysis for Terrain Mapless Navigation. - Abe Leininger; Mahmoud Ali; Hassan Jardali; Lantao Liu (ICRA, 2024)

Visual-Geometry GP-based Navigable Space for Autonomous Navigation. - Mahmoud Ali; Durgakant Pushp; Zheng Chen 016; Lantao Liu (IROS, 2024)

SePaint: Semantic Map Inpainting via Multinomial Diffusion. - Zheng Chen 016; Deepak Duggirala; David J. Crandall; Lei Jiang 001; Lantao Liu (IROS, 2024)

Context-Generative Default Policy for Bounded Rational Agent. - Durgakant Pushp; Junhong Xu; Zheng Chen 016; Lantao Liu (IROS, 2024)

POAM: Probabilistic Online Attentive Mapping for Efficient Robotic Information Gathering. - Weizhe Chen 004; Lantao Liu; Roni Khardon (Robotics: Science and Systems, 2024)

Show Your Face: Restoring Complete Facial Images from Partial Observations for VR Meeting. - Zheng Chen 016; Zhiqi Zhang; Junsong Yuan 001; Yi Xu 002; Lantao Liu (WACV, 2024)

PlanarNeRF: Online Learning of Planar Primitives with Neural Radiance Fields. - Zheng Chen 016; Qingan Yan; Huangying Zhan; Changjiang Cai; Xiangyu Xu; Yuzhong Huang; Weihan Wang; Ziyue Feng; Lantao Liu; Yi Xu 002 (CoRR, 2024)

C^2DA: Contrastive and Context-aware Domain Adaptive Semantic Segmentation. - Md. Al-Masrur Khan; Zheng Chen; Lantao Liu (CoRR, 2024)

Adaptive Robotic Information Gathering via non-stationary Gaussian processes. - Weizhe Chen 004; Roni Khardon; Lantao Liu (Int. J. Robotics Res., 2024)

Kernel-based diffusion approximated Markov decision processes for autonomous navigation and control on unstructured terrains. - Junhong Xu; Kai Yin; Zheng Chen 016; Jason M. Gregory; Ethan A. Stump; Lantao Liu (Int. J. Robotics Res., 2024)

Boundary-aware value function generation for safe stochastic motion planning. - Junhong Xu; Kai Yin; Jason M. Gregory; Kris Hauser; Lantao Liu (Int. J. Robotics Res., 2024)

A Bio-Inspired Goal-Directed Cognitive Map Approach to Robot Navigation and Mapping. - Matthew Hicks; Tingjun Lei; Chaomin Luo; Lantao Liu; Zhuming Bi (CEC, 2025)

Toward Efficient MPPI Trajectory Generation With Unscented Guidance: U-MPPI Control Strategy. - Ihab S. Mohamed; Junhong Xu; Gaurav S. Sukhatme; Lantao Liu (IEEE Trans. Robotics, 2025)

Neural Fidelity Calibration for Informative Sim-to-Real Adaptation. - Youwei Yu; Lantao Liu (CoRR, 2025)

Action Flow Matching for Continual Robot Learning. - Alejandro Murillo-González; Lantao Liu (CoRR, 2025)

Situationally-Aware Dynamics Learning. - Alejandro Murillo-González; Lantao Liu (CoRR, 2025)

ADEPT: Adaptive Diffusion Environment for Policy Transfer Sim-to-Real. - Youwei Yu; Junhong Xu; Lantao Liu (CoRR, 2025)

Chance-Constrained Sampling-Based MPC for Collision Avoidance in Uncertain Dynamic Environments. - Ihab S. Mohamed; Mahmoud Ali; Lantao Liu (IEEE Robotics Autom. Lett., 2025)

AFRDA: Attentive Feature Refinement for Domain Adaptive Semantic Segmentation. - Md. Al-Masrur Khan; Durgakant Pushp; Lantao Liu (IEEE Robotics Autom. Lett., 2025)

Learning Causal Structure Distributions for Robust Planning. - Alejandro Murillo-González; Junhong Xu; Lantao Liu (IEEE Robotics Autom. Lett., 2025)