Lifeng Zhou

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 78

Top Topics

Target Tracking

Top Venues

IEEE Trans. Robotics

Publications

Siji Chen, Yanshen Sun, Peihan Li, Lifeng Zhou, Chang-Tien Lu
Learning Decentralized Flocking Controllers with Spatio-Temporal Graph Neural Network. ICRA (2024)
Peihan Li, Vishnu Menon, Bhavanaraj Gudiguntla, Daniel Ting, Lifeng Zhou
Challenges Faced by Large Language Models in Solving Multi-Agent Flocking. CoRR (2024)
Jiazhen Li, Peihan Li, Yuwei Wu, Gaurav S. Sukhatme, Vijay Kumar, Lifeng Zhou
Multi-Robot Target Tracking with Sensing and Communication Danger Zones. CoRR (2024)
Seungyeop Lee, Knut Peterson, Solmaz Arezoomandan, Bill Cai, Peihan Li, Lifeng Zhou, David Han
Domain-Transferred Synthetic Data Generation for Improving Monocular Depth Estimation. CoRR (2024)
Xincheng Li, Lifeng Zhou, Xinchun Yin, Jianting Ning
A Security-Enhanced Certificateless Designated Verifier Aggregate Signature Scheme for HWMSNs in the YOSO Model. IEEE Internet Things J. 11 (6) (2024)
Amirhosein Chahe, Chenan Wang, Abhishek Jeyapratap, Kaidi Xu, Lifeng Zhou
Dynamic Adversarial Attacks on Autonomous Driving Systems. CoRR (2023)
Murat Isik, Matthew Oldland, Lifeng Zhou
An Energy-Efficient Reconfigurable Autoencoder Implementation on FPGA. CoRR (2023)
Haonan Chang, Kowndinya Boyalakuntla, Shiyang Lu, Siwei Cai, Eric Pu Jing, Shreesh Keskar, Shijie Geng, Adeeb Abbas, Lifeng Zhou, Kostas E. Bekris, Abdeslam Boularias
Context-Aware Entity Grounding with Open-Vocabulary 3D Scene Graphs. CoRL (2023)
Peihan Li, Lifeng Zhou
Assignment Algorithms for Multi-Robot Multi-Target Tracking with Sufficient and Limited Sensing Capability. CoRR (2023)
Lifeng Zhou
Design and Kinematics Analysis of DNA Nanomachines. ICIRA (9) (2023)
Peihan Li, Lifeng Zhou
Assignment Algorithms for Multi-Robot Multi-Target Tracking with Sufficient and Limited Sensing Capability. IROS (2023)
Siji Chen, Yanshen Sun, Peihan Li, Lifeng Zhou, Chang-Tien Lu
Spatial Temporal Graph Neural Networks for Decentralized Control of Robot Swarms. SIGSPATIAL/GIS (2023)
Rahul Zahroof, Jiazhen Liu, Lifeng Zhou, Vijay Kumar
Multi-Robot Localization and Target Tracking with Connectivity Maintenance and Collision Avoidance. ACC (2023)
Zijian An, Lifeng Zhou
Double Oracle Algorithm for Game-Theoretic Robot Allocation on Graphs. CoRR (2023)
Elijah S. Lee, Lifeng Zhou, Alejandro Ribeiro, Vijay Kumar
Graph Neural Networks for Decentralized Multi-Agent Perimeter Defense. CoRR (2023)
Lifeng Zhou, Vijay Kumar
Robust Multi-Robot Active Target Tracking Against Sensing and Communication Attacks. IEEE Trans. Robotics 39 (3) (2023)
Mamadou Barry, Rodrigo Veras, Ziyu Wang, Junhao Xiang, Wang Yu, Lifeng Zhou
Funeral at Nine. SIGGRAPH Asia Computer Animation Festival (2023)
Xu Liu, Ankit Prabhu, Fernando Cladera Ojeda, Ian D. Miller, Lifeng Zhou, Camillo J. Taylor, Vijay Kumar
Active Metric-Semantic Mapping by Multiple Aerial Robots. ICRA (2023)
Guangyao Shi, Lifeng Zhou, Pratap Tokekar
Robust Multiple-Path Orienteering Problem: Securing Against Adversarial Attacks. IEEE Trans. Robotics 39 (3) (2023)
Siji Chen, Yanshen Sun, Peihan Li, Lifeng Zhou, Chang-Tien Lu
Learning Decentralized Flocking Controllers with Spatio-Temporal Graph Neural Network. CoRR (2023)
Vishnu Dutt Sharma, Lifeng Zhou, Pratap Tokekar
D2CoPlan: A Differentiable Decentralized Planner for Multi-Robot Coverage. ICRA (2023)
Qianfeng Wen, Zhongyi Gong, Lifeng Zhou, Zhongshun Zhang
Monte-Carlo Tree Search for Behavior Planning in Autonomous Driving. CoRR (2023)
Bill Cai, Fei Lu, Lifeng Zhou
Energy-Aware Routing Algorithm for Mobile Ground-to-Air Charging. CoRR (2023)
Haonan Chang, Kowndinya Boyalakuntla, Shiyang Lu, Siwei Cai, Eric Jing, Shreesh Keskar, Shijie Geng, Adeeb Abbas, Lifeng Zhou, Kostas E. Bekris, Abdeslam Boularias
Context-Aware Entity Grounding with Open-Vocabulary 3D Scene Graphs. CoRR (2023)
Jiazhen Liu, Lifeng Zhou, Ragesh K. Ramachandran, Gaurav S. Sukhatme, Vijay Kumar
Decentralized Risk-Aware Tracking of Multiple Targets. CoRR (2022)
Jiazhen Liu, Lifeng Zhou, Ragesh K. Ramachandran, Gaurav S. Sukhatme, Vijay Kumar
Decentralized Risk-Aware Tracking of Multiple Targets. DARS (2022)
Lifeng Zhou, Vishnu D. Sharma, Qingbiao Li, Amanda Prorok, Alejandro Ribeiro, Pratap Tokekar, Vijay Kumar
Graph Neural Networks for Decentralized Multi-Robot Target Tracking. SSRR (2022)
Xu Liu, Ankit Prabhu, Fernando Cladera Ojeda, Ian D. Miller, Lifeng Zhou, Camillo J. Taylor, Vijay Kumar
Active Metric-Semantic Mapping by Multiple Aerial Robots. CoRR (2022)
Lifeng Zhou, Kaifeng Wei, Yuke Li, Yiya Hao, Weiqiang Yang, Haoqi Zhu
Acoustic Pornography Recognition Using Convolutional Neural Networks and Bag of Refinements. CoRR (2022)
Lifeng Zhou, Vasileios Tzoumas, George J. Pappas, Pratap Tokekar
Distributed Attack-Robust Submodular Maximization for Multirobot Planning. IEEE Trans. Robotics 38 (5) (2022)
Rahul Zahroof, Jiazhen Liu, Lifeng Zhou, Vijay Kumar
Multi-Robot Localization and Target Tracking with Connectivity Maintenance and Collision Avoidance. CoRR (2022)
Yanyu Xiong, Qinglan Huang, Taylor D. Canady, Priyash Barya, Shengyan Liu, Opeyemi H. Arogundade, Caitlin M. Race, Congnyu Che, Xiaojing Wang, Lifeng Zhou, Anh Igarashi, Xing Wang, Manish Kohli, Andrew M. Smith, Brian T. Cunningham
Photonic Crystal Enhanced Quantum Dot Biosensor for Cancer-associated miRNA Detection. IEEE SENSORS (2022)
Kelsey Saulnier, Lifeng Zhou, George J. Pappas, Vijay Kumar
Resilient Consensus via Voronoi Communication Graphs. CoRR (2022)
Lifeng Zhou, Vijay Kumar
Robust Multi-Robot Active Target Tracking Against Sensing and Communication Attacks. ACC (2022)
Vishnu Dutt Sharma, Lifeng Zhou, Pratap Tokekar
D2CoPlan: A Differentiable Decentralized Planner for Multi-Robot Coverage. CoRR (2022)
Siddharth Mayya, Ragesh K. Ramachandran, Lifeng Zhou, Vinay Senthil, Dinesh Thakur, Gaurav S. Sukhatme, Vijay Kumar
Adaptive and Risk-Aware Target Tracking for Robot Teams With Heterogeneous Sensors. IEEE Robotics Autom. Lett. 7 (2) (2022)
Elijah S. Lee, Lifeng Zhou, Alejandro Ribeiro, Vijay Kumar
Learning Decentralized Strategies for a Perimeter Defense Game with Graph Neural Networks. CoRR (2022)
Lifeng Zhou, Pratap Tokekar
Risk-Aware Submodular Optimization for Multirobot Coordination. IEEE Trans. Robotics 38 (5) (2022)
Lifeng Zhou, Vishnu D. Sharma, Qingbiao Li, Amanda Prorok, Alejandro Ribeiro, Vijay Kumar
Graph Neural Networks for Decentralized Multi-Robot Submodular Action Selection. CoRR (2021)
Lifeng Zhou, Vijay Kumar
Robust Multi-Robot Active Target Tracking Against Sensing and Communication Attacks. CoRR (2021)
Lifeng Zhou, Pratap Tokekar
Multi-Robot Coordination and Planning in Uncertain and Adversarial Environments. CoRR (2021)
Rishab Balasubramanian, Lifeng Zhou, Pratap Tokekar, P. B. Sujit
Risk-Aware Submodular Optimization for Stochastic Travelling Salesperson Problem. IROS (2021)
Jun Liu, Lifeng Zhou, Pratap Tokekar, Ryan K. Williams
Distributed Resilient Submodular Action Selection in Adversarial Environments. CoRR (2021)
Siddharth Mayya, Ragesh K. Ramachandran, Lifeng Zhou, Gaurav S. Sukhatme, Vijay Kumar
Adaptive and Risk-Aware Target Tracking with Heterogeneous Robot Teams. CoRR (2021)
Jun Liu, Lifeng Zhou, Pratap Tokekar, Ryan K. Williams
Distributed Resilient Submodular Action Selection in Adversarial Environments. IEEE Robotics Autom. Lett. 6 (3) (2021)
Zhongshun Zhang, Jonathon M. Smereka, Joseph Lee, Lifeng Zhou, Yoonchang Sung, Pratap Tokekar
Game tree search for minimizing detectability and maximizing visibility. Auton. Robots 45 (2) (2021)
Guangyao Shi, Ishat E. Rabban, Lifeng Zhou, Pratap Tokekar
Communication-Aware Multi-robot Coordination with Submodular Maximization. ICRA (2021)
Guangyao Shi, Ishat E. Rabban, Lifeng Zhou, Pratap Tokekar
Communication-Aware Multi-robot Coordination with Submodular Maximization. CoRR (2020)
Vishnu D. Sharma, Maymoonah Toubeh, Lifeng Zhou, Pratap Tokekar
Risk-Aware Planning and Assignment for Ground Vehicles using Uncertain Perception from Aerial Vehicles. CoRR (2020)
Rishab Balasubramanian, Lifeng Zhou, Pratap Tokekar, P. B. Sujit
Risk-Aware Submodular Optimization for Multi-objective Travelling Salesperson Problem. CoRR (2020)
Guangyao Shi, Lifeng Zhou, Pratap Tokekar
Robust Multiple-Path Orienteering Problem: Securing Against Adversarial Attacks. CoRR (2020)
Vishnu D. Sharma, Maymoonah Toubeh, Lifeng Zhou, Pratap Tokekar
Risk-Aware Planning and Assignment for Ground Vehicles using Uncertain Perception from Aerial Vehicles. IROS (2020)
Guangyao Shi, Pratap Tokekar, Lifeng Zhou
Robust Multiple-Path Orienteering Problem: Securing Against Adversarial Attacks. Robotics: Science and Systems (2020)
Lifeng Zhou, Pratap Tokekar
Risk-Aware Submodular Optimization for Multi-Robot Coordination. CoRR (2020)
Ragesh K. Ramachandran, Lifeng Zhou, James A. Preiss, Gaurav S. Sukhatme
Resilient Coverage: Exploring the Local-to-Global Trade-off. IROS (2020)
Lifeng Zhou, Vasileios Tzoumas, George J. Pappas, Pratap Tokekar
Distributed Attack-Robust Submodular Maximization for Multi-Robot Planning. ICRA (2020)
Gongyu Yang, Qilin Ye, Wanjun He, Lifeng Zhou, Xinyu Chen, Lei Yu, Wen Yang, Shoushun Chen, Wei Li
Live Demonstration: Real-Time Vi-SLAM With High-Resolution Event Camera. CVPR Workshops (2019)
Lifeng Zhou, Pratap Tokekar
Active Target Tracking With Self-Triggered Communications in Multi-Robot Teams. IEEE Trans Autom. Sci. Eng. 16 (3) (2019)
Lifeng Zhou, Vasileios Tzoumas, George J. Pappas, Pratap Tokekar
Resilient Active Target Tracking With Multiple Robots. IEEE Robotics Autom. Lett. 4 (1) (2019)
Lifeng Zhou, Pratap Tokekar
An Approximation Algorithm for Distributed Resilient Submodular Maximization: Extended Abstract. MRS (2019)
Ragesh K. Ramachandran, Lifeng Zhou, Gaurav S. Sukhatme
Resilient Coverage: Exploring the Local-to-Global Trade-off. CoRR (2019)
Lifeng Zhou, Pratap Tokekar
Sensor Assignment Algorithms to Improve Observability While Tracking Targets. IEEE Trans. Robotics 35 (5) (2019)
Lifeng Zhou, Vasileios Tzoumas, George J. Pappas, Pratap Tokekar
Distributed Attack-Robust Submodular Maximization for Multi-Robot Planning. CoRR (2019)
Zhongshun Zhang, Joseph Lee, Jonathon M. Smereka, Yoonchang Sung, Lifeng Zhou, Pratap Tokekar
Tree Search Techniques for Minimizing Detectability and Maximizing Visibility. ICRA (2019)
Lifeng Zhou, Pratap Tokekar
An Approximation Algorithm for Risk-Averse Submodular Optimization. WAFR (2018)
Lifeng Zhou, Pratap Tokekar
An Approximation Algorithm for Risk-averse Submodular Optimization. CoRR (2018)
Lifeng Zhou, Vasileios Tzoumas, George J. Pappas, Pratap Tokekar
Resilient Active Target Tracking with Multiple Robots. CoRR (2018)
Hong Wang, Jianxin Wang, Lifeng Zhou
A survival ensemble of extreme learning machine. Appl. Intell. 48 (7) (2018)
Zhongshun Zhang, Yoonchang Sung, Lifeng Zhou, Jonathon M. Smereka, Joseph Lee, Pratap Tokekar
A Minimax Tree Based Approach for Minimizing Detectability and Maximizing Visibility. CoRR (2018)
Hong Wang, Lifeng Zhou
SurvELM: An R package for high dimensional survival analysis with extreme learning machine. Knowl. Based Syst. 160 (2018)
Zhongshun Zhang, Lifeng Zhou, Pratap Tokekar
Strategies to Design Signals to Spoof Kalman Filter. ACC (2018)
Zhongshun Zhang, Lifeng Zhou, Pratap Tokekar
Strategies to Inject Spoofed Measurement Data. CoRR (2018)
Lifeng Zhou, Pratap Tokekar
A Lower Bound on Observability for Target Tracking with Range Sensors and its Application to Sensor Assignment. CoRR (2017)
Lifeng Zhou, Pratap Tokekar
Active target tracking with self-triggered communications. ICRA (2017)
Hong Wang, Lifeng Zhou
Random survival forest with space extensions for censored data. Artif. Intell. Medicine 79 (2017)
Zhongshun Zhang, Lifeng Zhou, Pratap Tokekar
Strategies to Design Signals to Spoof Kalman Filter. CoRR (2017)
Lifeng Zhou, Pratap Tokekar
Active Target Tracking with Self-Triggered Communications in Multi-Robot Teams. CoRR (2017)
Lifeng Zhou, Chunguang Li
Outsourcing Eigen-Decomposition and Singular Value Decomposition of Large Matrix to a Public Cloud. IEEE Access 4 (2016)
Lifeng Zhou, Chunguang Li
Outsourcing Large-Scale Quadratic Programming to a Public Cloud. IEEE Access 3 (2015)
Keliang Zhou, Taigang Liu, Lifeng Zhou
Industry 4.0: Towards future industrial opportunities and challenges. FSKD (2015)
Hong Wang, Qingsong Xu, Lifeng Zhou
Deep Web Search Interface Identification: A Semi-Supervised Ensemble Approach. Inf. 5 (4) (2014)
Hong Wang, Qingsong Xu, Lifeng Zhou
Seminal Quality Prediction Using Clustering-Based Decision Forests. Algorithms 7 (3) (2014)
Yuan Song, Qizheng Liao, Shimin Wei, Lei Guo, Hongzhou Song, Lifeng Zhou
Modelling, simulation and experiment of a novel pure rolling cycloid reducer with involute teeth. Int. J. Model. Identif. Control. 21 (2) (2014)
Lifeng Zhou, Lei Chen, Hung Keng Pung, Lek Heng Ngoh
Identifying QoS violations through statistical end-to-end analysis. Int. J. Commun. Syst. 24 (10) (2011)
Lifeng Zhou, Lei Chen, Hung Keng Pung, Lek Heng Ngoh
End-to-end diagnosis of QoS violations with neural network. LCN (2008)
Lifeng Zhou, Hung Keng Pung, Lek Heng Ngoh
A cross-domain framework for coordinated end-to-end QoS adaptation. LCN (2008)
Lei Chen, Lifeng Zhou, Hung Keng Pung
Universal Approximation and QoS Violation Application of Extreme Learning Machine. Neural Process. Lett. 28 (2) (2008)
Lifeng Zhou, Hung Keng Pung, Lek Heng Ngoh
Towards Semantic Modeling for QoS Specification. LCN (2006)
Liming An, Hung Keng Pung, Lifeng Zhou
Design and implementation of a dynamic protocol framework. Comput. Commun. 29 (9) (2006)
Lifeng Zhou, Hung Keng Pung, Lek Heng Ngoh, Tao Gu
Ontology Modeling of a Dynamic Protocol Stack. LCN (2006)
Liming An, Hung Keng Pung, Lifeng Zhou
Design and implementation of a dynamic protocol framework. ICON (2004)
Sae-Whong Suthon, Hung-Keng Rung, Lifeng Zhou
QMan: an adaptive end-to-end QoS management architecture. ICON (2004)