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2020 – today
- 2024
[j22]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): 10865-10879 (2024)- [c34]Lifeng Zhou, Yuke Li:
Coarse-to-fine Alignment Makes Better Speech-image Retrieval. ICME 2024: 1-6 - [c33]Siji Chen, Yanshen Sun, Peihan Li, Lifeng Zhou, Chang-Tien Lu:
Learning Decentralized Flocking Controllers with Spatio-Temporal Graph Neural Network. ICRA 2024: 2596-2602 - [i43]Peihan Li, Vishnu Menon, Bhavanaraj Gudiguntla, Daniel Ting, Lifeng Zhou:
Challenges Faced by Large Language Models in Solving Multi-Agent Flocking. CoRR abs/2404.04752 (2024) - [i42]Jiazhen Li, Peihan Li, Yuwei Wu, Gaurav S. Sukhatme, Vijay Kumar, Lifeng Zhou:
Multi-Robot Target Tracking with Sensing and Communication Danger Zones. CoRR abs/2404.07880 (2024) - [i41]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 abs/2405.01113 (2024) - [i40]Amirhosein Chahe, Lifeng Zhou:
Leveraging LLMs for Enhanced Open-Vocabulary 3D Scene Understanding in Autonomous Driving. CoRR abs/2408.03516 (2024) - [i39]Lifeng Zhou, Yuke Li:
Coarse-to-fine Alignment Makes Better Speech-image Retrieval. CoRR abs/2408.13119 (2024) - [i38]Lifeng Zhou, Yuke Li, Rui Deng, Yuting Yang, Haoqi Zhu:
Cross-Modal Denoising: A Novel Training Paradigm for Enhancing Speech-Image Retrieval. CoRR abs/2408.13705 (2024) - [i37]Peihan Li, Yuwei Wu, Jiazhen Liu, Gaurav S. Sukhatme, Vijay Kumar, Lifeng Zhou:
Resilient and Adaptive Replanning for Multi-Robot Target Tracking with Sensing and Communication Danger Zones. CoRR abs/2409.11230 (2024) - [i36]Yuwei Wu, Yuezhan Tao, Peihan Li, Guangyao Shi, Gaurav S. Sukhatme, Vijay Kumar, Lifeng Zhou:
Hierarchical LLMs In-the-loop Optimization for Real-time Multi-Robot Target Tracking under Unknown Hazards. CoRR abs/2409.12274 (2024) - 2023
- [j21]Lifeng Zhou, Vijay Kumar:
Robust Multi-Robot Active Target Tracking Against Sensing and Communication Attacks. IEEE Trans. Robotics 39(3): 1768-1780 (2023) - [j20]Guangyao Shi, Lifeng Zhou, Pratap Tokekar:
Robust Multiple-Path Orienteering Problem: Securing Against Adversarial Attacks. IEEE Trans. Robotics 39(3): 2060-2077 (2023) - [c32]Rahul Zahroof, Jiazhen Liu, Lifeng Zhou, Vijay Kumar:
Multi-Robot Localization and Target Tracking with Connectivity Maintenance and Collision Avoidance. ACC 2023: 1331-1338 - [c31]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: 1950-1974 - [c30]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: 80:1-80:4 - [c29]Lifeng Zhou:
Design and Kinematics Analysis of DNA Nanomachines. ICIRA (9) 2023: 144-152 - [c28]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: 3282-3288 - [c27]Vishnu Dutt Sharma, Lifeng Zhou, Pratap Tokekar:
D2CoPlan: A Differentiable Decentralized Planner for Multi-Robot Coverage. ICRA 2023: 3425-3431 - [c26]Murat Isik, Matthew Oldland, Lifeng Zhou:
An Energy-Efficient Reconfigurable Autoencoder Implementation on FPGA. IntelliSys (1) 2023: 212-222 - [c25]Peihan Li, Lifeng Zhou:
Assignment Algorithms for Multi-Robot Multi-Target Tracking with Sufficient and Limited Sensing Capability. IROS 2023: 11035-11041 - [c24]Mamadou Barry, Rodrigo Veras, Ziyu Wang, Junhao Xiang, Wang Yu, Lifeng Zhou:
Funeral at Nine. SIGGRAPH Asia Computer Animation Festival 2023: 16:1 - [i35]Murat Isik, Matthew Oldland, Lifeng Zhou:
An Energy-Efficient Reconfigurable Autoencoder Implementation on FPGA. CoRR abs/2301.07050 (2023) - [i34]Elijah S. Lee, Lifeng Zhou, Alejandro Ribeiro, Vijay Kumar:
Graph Neural Networks for Decentralized Multi-Agent Perimeter Defense. CoRR abs/2301.09689 (2023) - [i33]Peihan Li, Lifeng Zhou:
Assignment Algorithms for Multi-Robot Multi-Target Tracking with Sufficient and Limited Sensing Capability. CoRR abs/2303.04894 (2023) - [i32]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 abs/2309.15940 (2023) - [i31]Siji Chen, Yanshen Sun, Peihan Li, Lifeng Zhou, Chang-Tien Lu:
Learning Decentralized Flocking Controllers with Spatio-Temporal Graph Neural Network. CoRR abs/2309.17437 (2023) - [i30]Bill Cai, Fei Lu, Lifeng Zhou:
Energy-Aware Routing Algorithm for Mobile Ground-to-Air Charging. CoRR abs/2310.07729 (2023) - [i29]Qianfeng Wen, Zhongyi Gong, Lifeng Zhou, Zhongshun Zhang:
Monte-Carlo Tree Search for Behavior Planning in Autonomous Driving. CoRR abs/2310.12075 (2023) - [i28]Amirhosein Chahe, Chenan Wang, Abhishek Jeyapratap, Kaidi Xu, Lifeng Zhou:
Dynamic Adversarial Attacks on Autonomous Driving Systems. CoRR abs/2312.06701 (2023) - [i27]Zijian An, Lifeng Zhou:
Double Oracle Algorithm for Game-Theoretic Robot Allocation on Graphs. CoRR abs/2312.11791 (2023) - 2022
- [j19]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): 5615-5622 (2022) - [j18]Lifeng Zhou, Pratap Tokekar:
Risk-Aware Submodular Optimization for Multirobot Coordination. IEEE Trans. Robotics 38(5): 3064-3084 (2022) - [j17]Lifeng Zhou, Vasileios Tzoumas, George J. Pappas, Pratap Tokekar:
Distributed Attack-Robust Submodular Maximization for Multirobot Planning. IEEE Trans. Robotics 38(5): 3097-3112 (2022) - [c23]Lifeng Zhou, Vijay Kumar:
Robust Multi-Robot Active Target Tracking Against Sensing and Communication Attacks. ACC 2022: 4443-4450 - [c22]Jiazhen Liu, Lifeng Zhou, Ragesh K. Ramachandran, Gaurav S. Sukhatme, Vijay Kumar:
Decentralized Risk-Aware Tracking of Multiple Targets. DARS 2022: 408-423 - [c21]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: 1-4 - [c20]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: 195-202 - [i26]Jiazhen Liu, Lifeng Zhou, Ragesh K. Ramachandran, Gaurav S. Sukhatme, Vijay Kumar:
Decentralized Risk-Aware Tracking of Multiple Targets. CoRR abs/2208.02772 (2022) - [i25]Kelsey Saulnier, Lifeng Zhou, George J. Pappas, Vijay Kumar:
Resilient Consensus via Voronoi Communication Graphs. CoRR abs/2209.04381 (2022) - [i24]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 abs/2209.08465 (2022) - [i23]Vishnu Dutt Sharma, Lifeng Zhou, Pratap Tokekar:
D2CoPlan: A Differentiable Decentralized Planner for Multi-Robot Coverage. CoRR abs/2209.09292 (2022) - [i22]Rahul Zahroof, Jiazhen Liu, Lifeng Zhou, Vijay Kumar:
Multi-Robot Localization and Target Tracking with Connectivity Maintenance and Collision Avoidance. CoRR abs/2210.03300 (2022) - [i21]Elijah S. Lee, Lifeng Zhou, Alejandro Ribeiro, Vijay Kumar:
Learning Decentralized Strategies for a Perimeter Defense Game with Graph Neural Networks. CoRR abs/2211.01757 (2022) - [i20]Lifeng Zhou, Kaifeng Wei, Yuke Li, Yiya Hao, Weiqiang Yang, Haoqi Zhu:
Acoustic Pornography Recognition Using Convolutional Neural Networks and Bag of Refinements. CoRR abs/2211.05983 (2022) - 2021
- [j16]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): 283-297 (2021) - [j15]Jun Liu, Lifeng Zhou, Pratap Tokekar, Ryan K. Williams:
Distributed Resilient Submodular Action Selection in Adversarial Environments. IEEE Robotics Autom. Lett. 6(3): 5832-5839 (2021) - [c19]Guangyao Shi, Ishat E. Rabban, Lifeng Zhou, Pratap Tokekar:
Communication-Aware Multi-robot Coordination with Submodular Maximization. ICRA 2021: 8955-8961 - [c18]Rishab Balasubramanian, Lifeng Zhou, Pratap Tokekar, P. B. Sujit:
Risk-Aware Submodular Optimization for Stochastic Travelling Salesperson Problem. IROS 2021: 4720-4725 - [i19]Lifeng Zhou, Pratap Tokekar:
Multi-Robot Coordination and Planning in Uncertain and Adversarial Environments. CoRR abs/2105.00389 (2021) - [i18]Siddharth Mayya, Ragesh K. Ramachandran, Lifeng Zhou, Gaurav S. Sukhatme, Vijay Kumar:
Adaptive and Risk-Aware Target Tracking with Heterogeneous Robot Teams. CoRR abs/2105.03813 (2021) - [i17]Jun Liu, Lifeng Zhou, Pratap Tokekar, Ryan K. Williams:
Distributed Resilient Submodular Action Selection in Adversarial Environments. CoRR abs/2105.07305 (2021) - [i16]Lifeng Zhou, Vishnu D. Sharma, Qingbiao Li, Amanda Prorok, Alejandro Ribeiro, Vijay Kumar:
Graph Neural Networks for Decentralized Multi-Robot Submodular Action Selection. CoRR abs/2105.08601 (2021) - [i15]Lifeng Zhou, Vijay Kumar:
Robust Multi-Robot Active Target Tracking Against Sensing and Communication Attacks. CoRR abs/2109.09838 (2021) - 2020
- [c17]Lifeng Zhou, Vasileios Tzoumas, George J. Pappas, Pratap Tokekar:
Distributed Attack-Robust Submodular Maximization for Multi-Robot Planning. ICRA 2020: 2479-2485 - [c16]Ragesh K. Ramachandran, Lifeng Zhou, James A. Preiss, Gaurav S. Sukhatme:
Resilient Coverage: Exploring the Local-to-Global Trade-off. IROS 2020: 11740-11747 - [c15]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: 11763-11769 - [c14]Guangyao Shi, Pratap Tokekar, Lifeng Zhou:
Robust Multiple-Path Orienteering Problem: Securing Against Adversarial Attacks. Robotics: Science and Systems 2020 - [i14]Lifeng Zhou, Pratap Tokekar:
Risk-Aware Submodular Optimization for Multi-Robot Coordination. CoRR abs/2003.10492 (2020) - [i13]Vishnu D. Sharma, Maymoonah Toubeh, Lifeng Zhou, Pratap Tokekar:
Risk-Aware Planning and Assignment for Ground Vehicles using Uncertain Perception from Aerial Vehicles. CoRR abs/2003.11675 (2020) - [i12]Guangyao Shi, Lifeng Zhou, Pratap Tokekar:
Robust Multiple-Path Orienteering Problem: Securing Against Adversarial Attacks. CoRR abs/2003.13896 (2020) - [i11]Rishab Balasubramanian, Lifeng Zhou, Pratap Tokekar, P. B. Sujit:
Risk-Aware Submodular Optimization for Multi-objective Travelling Salesperson Problem. CoRR abs/2011.01095 (2020) - [i10]Guangyao Shi, Ishat E. Rabban, Lifeng Zhou, Pratap Tokekar:
Communication-Aware Multi-robot Coordination with Submodular Maximization. CoRR abs/2011.01476 (2020)
2010 – 2019
- 2019
- [j14]Lifeng Zhou, Vasileios Tzoumas, George J. Pappas, Pratap Tokekar:
Resilient Active Target Tracking With Multiple Robots. IEEE Robotics Autom. Lett. 4(1): 129-136 (2019) - [j13]Lifeng Zhou, Pratap Tokekar:
Active Target Tracking With Self-Triggered Communications in Multi-Robot Teams. IEEE Trans Autom. Sci. Eng. 16(3): 1085-1096 (2019) - [j12]Lifeng Zhou, Pratap Tokekar:
Sensor Assignment Algorithms to Improve Observability While Tracking Targets. IEEE Trans. Robotics 35(5): 1206-1219 (2019) - [c13]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: 1707-1708 - [c12]Zhongshun Zhang, Joseph Lee, Jonathon M. Smereka, Yoonchang Sung, Lifeng Zhou, Pratap Tokekar:
Tree Search Techniques for Minimizing Detectability and Maximizing Visibility. ICRA 2019: 8791-8797 - [c11]Lifeng Zhou, Pratap Tokekar:
An Approximation Algorithm for Distributed Resilient Submodular Maximization: Extended Abstract. MRS 2019: 216-218 - [i9]Lifeng Zhou, Vasileios Tzoumas, George J. Pappas, Pratap Tokekar:
Distributed Attack-Robust Submodular Maximization for Multi-Robot Planning. CoRR abs/1910.01208 (2019) - [i8]Ragesh K. Ramachandran, Lifeng Zhou, Gaurav S. Sukhatme:
Resilient Coverage: Exploring the Local-to-Global Trade-off. CoRR abs/1910.01917 (2019) - 2018
- [j11]Hong Wang, Jianxin Wang, Lifeng Zhou:
A survival ensemble of extreme learning machine. Appl. Intell. 48(7): 1846-1858 (2018) - [j10]Hong Wang, Lifeng Zhou:
SurvELM: An R package for high dimensional survival analysis with extreme learning machine. Knowl. Based Syst. 160: 28-33 (2018) - [c10]Zhongshun Zhang, Lifeng Zhou, Pratap Tokekar:
Strategies to Design Signals to Spoof Kalman Filter. ACC 2018: 5837-5842 - [c9]Lifeng Zhou, Pratap Tokekar:
An Approximation Algorithm for Risk-Averse Submodular Optimization. WAFR 2018: 144-159 - [i7]Lifeng Zhou, Pratap Tokekar:
An Approximation Algorithm for Risk-averse Submodular Optimization. CoRR abs/1807.09358 (2018) - [i6]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 abs/1807.09437 (2018) - [i5]Lifeng Zhou, Vasileios Tzoumas, George J. Pappas, Pratap Tokekar:
Resilient Active Target Tracking with Multiple Robots. CoRR abs/1809.04032 (2018) - [i4]Zhongshun Zhang, Lifeng Zhou, Pratap Tokekar:
Strategies to Inject Spoofed Measurement Data. CoRR abs/1809.04756 (2018) - 2017
- [j9]Hong Wang, Lifeng Zhou:
Random survival forest with space extensions for censored data. Artif. Intell. Medicine 79: 52-61 (2017) - [c8]Lifeng Zhou, Pratap Tokekar:
Active target tracking with self-triggered communications. ICRA 2017: 2117-2123 - [i3]Lifeng Zhou, Pratap Tokekar:
Active Target Tracking with Self-Triggered Communications in Multi-Robot Teams. CoRR abs/1704.07475 (2017) - [i2]Lifeng Zhou, Pratap Tokekar:
A Lower Bound on Observability for Target Tracking with Range Sensors and its Application to Sensor Assignment. CoRR abs/1706.00871 (2017) - [i1]Zhongshun Zhang, Lifeng Zhou, Pratap Tokekar:
Strategies to Design Signals to Spoof Kalman Filter. CoRR abs/1710.02442 (2017) - 2016
- [j8]Lifeng Zhou, Chunguang Li:
Outsourcing Eigen-Decomposition and Singular Value Decomposition of Large Matrix to a Public Cloud. IEEE Access 4: 869-879 (2016) - 2015
- [j7]Lifeng Zhou, Chunguang Li:
Outsourcing Large-Scale Quadratic Programming to a Public Cloud. IEEE Access 3: 2581-2589 (2015) - [c7]Keliang Zhou, Taigang Liu, Lifeng Zhou:
Industry 4.0: Towards future industrial opportunities and challenges. FSKD 2015: 2147-2152 - 2014
- [j6]Hong Wang, Qingsong Xu, Lifeng Zhou:
Seminal Quality Prediction Using Clustering-Based Decision Forests. Algorithms 7(3): 405-417 (2014) - [j5]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): 184-192 (2014) - [j4]Hong Wang, Qingsong Xu, Lifeng Zhou:
Deep Web Search Interface Identification: A Semi-Supervised Ensemble Approach. Inf. 5(4): 634-651 (2014) - 2011
- [j3]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): 1388-1406 (2011)
2000 – 2009
- 2008
- [j2]Lei Chen, Lifeng Zhou, Hung Keng Pung:
Universal Approximation and QoS Violation Application of Extreme Learning Machine. Neural Process. Lett. 28(2): 81-95 (2008) - [c6]Lifeng Zhou, Lei Chen, Hung Keng Pung, Lek Heng Ngoh:
End-to-end diagnosis of QoS violations with neural network. LCN 2008: 530-531 - [c5]Lifeng Zhou, Hung Keng Pung, Lek Heng Ngoh:
A cross-domain framework for coordinated end-to-end QoS adaptation. LCN 2008: 532-533 - 2006
- [j1]Liming An, Hung Keng Pung, Lifeng Zhou:
Design and implementation of a dynamic protocol framework. Comput. Commun. 29(9): 1309-1315 (2006) - [c4]Lifeng Zhou, Hung Keng Pung, Lek Heng Ngoh, Tao Gu:
Ontology Modeling of a Dynamic Protocol Stack. LCN 2006: 353-360 - [c3]Lifeng Zhou, Hung Keng Pung, Lek Heng Ngoh:
Towards Semantic Modeling for QoS Specification. LCN 2006: 361-368 - 2004
- [c2]Liming An, Hung Keng Pung, Lifeng Zhou:
Design and implementation of a dynamic protocol framework. ICON 2004: 552-558 - [c1]Sae-Whong Suthon, Hung-Keng Rung, Lifeng Zhou:
QMan: an adaptive end-to-end QoS management architecture. ICON 2004: 797-803
Coauthor Index
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