QMan: an adaptive end-to-end QoS management architecture. - Sae-Whong Suthon; Hung-Keng Rung; Lifeng Zhou (ICON, 2004)

Towards Semantic Modeling for QoS Specification. - Lifeng Zhou; Hung Keng Pung; Lek Heng Ngoh (LCN, 2006)

Ontology Modeling of a Dynamic Protocol Stack. - Lifeng Zhou; Hung Keng Pung; Lek Heng Ngoh; Tao Gu 001 (LCN, 2006)

Design and implementation of a dynamic protocol framework. - Liming An; Hung Keng Pung; Lifeng Zhou (Comput. Commun., 2006)

End-to-end diagnosis of QoS violations with neural network. - Lifeng Zhou; Lei Chen 009; Hung Keng Pung; Lek Heng Ngoh (LCN, 2008)

A cross-domain framework for coordinated end-to-end QoS adaptation. - Lifeng Zhou; Hung Keng Pung; Lek Heng Ngoh (LCN, 2008)

Universal Approximation and QoS Violation Application of Extreme Learning Machine. - Lei Chen 009; Lifeng Zhou; Hung Keng Pung (Neural Process. Lett., 2008)

Identifying QoS violations through statistical end-to-end analysis. - Lifeng Zhou; Lei Chen 009; Hung Keng Pung; Lek Heng Ngoh (Int. J. Commun. Syst., 2011)

Seminal Quality Prediction Using Clustering-Based Decision Forests. - Hong Wang 009; Qingsong Xu; Lifeng Zhou (Algorithms, 2014)

Modelling, simulation and experiment of a novel pure rolling cycloid reducer with involute teeth. - Yuan Song; Qizheng Liao; Shimin Wei; Lei Guo 011; Hongzhou Song; Lifeng Zhou (Int. J. Model. Identif. Control., 2014)

Deep Web Search Interface Identification: A Semi-Supervised Ensemble Approach. - Hong Wang 009; Qingsong Xu; Lifeng Zhou (Inf., 2014)

Industry 4.0: Towards future industrial opportunities and challenges. - Keliang Zhou; Taigang Liu; Lifeng Zhou (FSKD, 2015)

Outsourcing Large-Scale Quadratic Programming to a Public Cloud. - Lifeng Zhou; Chunguang Li 001 (IEEE Access, 2015)

Outsourcing Eigen-Decomposition and Singular Value Decomposition of Large Matrix to a Public Cloud. - Lifeng Zhou; Chunguang Li 001 (IEEE Access, 2016)

Active target tracking with self-triggered communications. - Lifeng Zhou; Pratap Tokekar (ICRA, 2017)

Random survival forest with space extensions for censored data. - Hong Wang 009; Lifeng Zhou (Artif. Intell. Medicine, 2017)

A Lower Bound on Observability for Target Tracking with Range Sensors and its Application to Sensor Assignment. - Lifeng Zhou; Pratap Tokekar (CoRR, 2017)

Strategies to Design Signals to Spoof Kalman Filter. - Zhongshun Zhang; Lifeng Zhou; Pratap Tokekar (ACC, 2018)

An Approximation Algorithm for Risk-Averse Submodular Optimization. - Lifeng Zhou; Pratap Tokekar (WAFR, 2018)

A survival ensemble of extreme learning machine. - Hong Wang 009; Jianxin Wang 001; Lifeng Zhou (Appl. Intell., 2018)

A Minimax Tree Based Approach for Minimizing Detectability and Maximizing Visibility. - Zhongshun Zhang; Yoonchang Sung; Lifeng Zhou; Jonathon M. Smereka; Joseph Lee; Pratap Tokekar (CoRR, 2018)

Strategies to Inject Spoofed Measurement Data. - Zhongshun Zhang; Lifeng Zhou; Pratap Tokekar (CoRR, 2018)

SurvELM: An R package for high dimensional survival analysis with extreme learning machine. - Hong Wang 009; Lifeng Zhou (Knowl. Based Syst., 2018)

Live Demonstration: Real-Time Vi-SLAM With High-Resolution Event Camera. - Gongyu Yang; Qilin Ye; Wanjun He; Lifeng Zhou; Xinyu Chen; Lei Yu 006; Wen Yang 001; Shoushun Chen; Wei Li 258 (CVPR Workshops, 2019)

Tree Search Techniques for Minimizing Detectability and Maximizing Visibility. - Zhongshun Zhang; Joseph Lee; Jonathon M. Smereka; Yoonchang Sung; Lifeng Zhou; Pratap Tokekar (ICRA, 2019)

An Approximation Algorithm for Distributed Resilient Submodular Maximization: Extended Abstract. - Lifeng Zhou; Pratap Tokekar (MRS, 2019)

Resilient Coverage: Exploring the Local-to-Global Trade-off. - Ragesh K. Ramachandran; Lifeng Zhou; Gaurav S. Sukhatme (CoRR, 2019)

Resilient Active Target Tracking With Multiple Robots. - Lifeng Zhou; Vasileios Tzoumas; George J. Pappas; Pratap Tokekar (IEEE Robotics Autom. Lett., 2019)

Active Target Tracking With Self-Triggered Communications in Multi-Robot Teams. - Lifeng Zhou; Pratap Tokekar (IEEE Trans Autom. Sci. Eng., 2019)

Sensor Assignment Algorithms to Improve Observability While Tracking Targets. - Lifeng Zhou; Pratap Tokekar (IEEE Trans. Robotics, 2019)

Distributed Attack-Robust Submodular Maximization for Multi-Robot Planning. - Lifeng Zhou; Vasileios Tzoumas; George J. Pappas; Pratap Tokekar (ICRA, 2020)

Resilient Coverage: Exploring the Local-to-Global Trade-off. - Ragesh K. Ramachandran; Lifeng Zhou; James A. Preiss; Gaurav S. Sukhatme (IROS, 2020)

Risk-Aware Planning and Assignment for Ground Vehicles using Uncertain Perception from Aerial Vehicles. - Vishnu D. Sharma; Maymoonah Toubeh; Lifeng Zhou; Pratap Tokekar (IROS, 2020)

Risk-Aware Submodular Optimization for Multi-Robot Coordination. - Lifeng Zhou; Pratap Tokekar (CoRR, 2020)

Risk-Aware Submodular Optimization for Multi-objective Travelling Salesperson Problem. - Rishab Balasubramanian; Lifeng Zhou; Pratap Tokekar; P. B. Sujit (CoRR, 2020)

Communication-Aware Multi-robot Coordination with Submodular Maximization. - Guangyao Shi; Ishat E. Rabban; Lifeng Zhou; Pratap Tokekar (ICRA, 2021)

Risk-Aware Submodular Optimization for Stochastic Travelling Salesperson Problem. - Rishab Balasubramanian; Lifeng Zhou; Pratap Tokekar; P. B. Sujit (IROS, 2021)

Game tree search for minimizing detectability and maximizing visibility. - Zhongshun Zhang; Jonathon M. Smereka; Joseph Lee; Lifeng Zhou; Yoonchang Sung; Pratap Tokekar (Auton. Robots, 2021)

Multi-Robot Coordination and Planning in Uncertain and Adversarial Environments. - Lifeng Zhou; Pratap Tokekar (CoRR, 2021)

Adaptive and Risk-Aware Target Tracking with Heterogeneous Robot Teams. - Siddharth Mayya; Ragesh K. Ramachandran; Lifeng Zhou; Gaurav S. Sukhatme; Vijay Kumar 001 (CoRR, 2021)

Graph Neural Networks for Decentralized Multi-Robot Submodular Action Selection. - Lifeng Zhou; Vishnu D. Sharma; Qingbiao Li; Amanda Prorok; Alejandro Ribeiro; Vijay Kumar 001 (CoRR, 2021)

Distributed Resilient Submodular Action Selection in Adversarial Environments. - Jun Liu 060; Lifeng Zhou; Pratap Tokekar; Ryan K. Williams (IEEE Robotics Autom. Lett., 2021)

Decentralized Risk-Aware Tracking of Multiple Targets. - Jiazhen Liu; Lifeng Zhou; Ragesh K. Ramachandran; Gaurav S. Sukhatme; Vijay Kumar 001 (DARS, 2022)

Photonic Crystal Enhanced Quantum Dot Biosensor for Cancer-associated miRNA Detection. - 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 009; et al. (IEEE SENSORS, 2022)

Graph Neural Networks for Decentralized Multi-Robot Target Tracking. - Lifeng Zhou; Vishnu D. Sharma; Qingbiao Li; Amanda Prorok; Alejandro Ribeiro; Pratap Tokekar; Vijay Kumar 001 (SSRR, 2022)

Resilient Consensus via Voronoi Communication Graphs. - Kelsey Saulnier; Lifeng Zhou; George J. Pappas; Vijay Kumar 001 (CoRR, 2022)

Learning Decentralized Strategies for a Perimeter Defense Game with Graph Neural Networks. - Elijah S. Lee; Lifeng Zhou; Alejandro Ribeiro; Vijay Kumar 001 (CoRR, 2022)

Acoustic Pornography Recognition Using Convolutional Neural Networks and Bag of Refinements. - Lifeng Zhou; Kaifeng Wei; Yuke Li; Yiya Hao; Weiqiang Yang; Haoqi Zhu (CoRR, 2022)

Adaptive and Risk-Aware Target Tracking for Robot Teams With Heterogeneous Sensors. - Siddharth Mayya; Ragesh K. Ramachandran; Lifeng Zhou; Vinay Senthil; Dinesh Thakur; Gaurav S. Sukhatme; Vijay Kumar 001 (IEEE Robotics Autom. Lett., 2022)

Risk-Aware Submodular Optimization for Multirobot Coordination. - Lifeng Zhou; Pratap Tokekar (IEEE Trans. Robotics, 2022)

Distributed Attack-Robust Submodular Maximization for Multirobot Planning. - Lifeng Zhou; Vasileios Tzoumas; George J. Pappas; Pratap Tokekar (IEEE Trans. Robotics, 2022)

Multi-Robot Localization and Target Tracking with Connectivity Maintenance and Collision Avoidance. - Rahul Zahroof; Jiazhen Liu; Lifeng Zhou; Vijay Kumar 001 (ACC, 2023)

Context-Aware Entity Grounding with Open-Vocabulary 3D Scene Graphs. - Haonan Chang; Kowndinya Boyalakuntla; Shiyang Lu; Siwei Cai; Eric Pu Jing; Shreesh Keskar; Shijie Geng; Adeeb Abbas; Lifeng Zhou; Kostas E. Bekris; Abdeslam Boularias (CoRL, 2023)

Spatial Temporal Graph Neural Networks for Decentralized Control of Robot Swarms. - Siji Chen; Yanshen Sun; Peihan Li; Lifeng Zhou; Chang-Tien Lu (SIGSPATIAL/GIS, 2023)

Design and Kinematics Analysis of DNA Nanomachines. - Lifeng Zhou (ICIRA (9), 2023)

Active Metric-Semantic Mapping by Multiple Aerial Robots. - Xu Liu 007; Ankit Prabhu; Fernando Cladera Ojeda; Ian D. Miller; Lifeng Zhou; Camillo J. Taylor; Vijay Kumar 001 (ICRA, 2023)

D2CoPlan: A Differentiable Decentralized Planner for Multi-Robot Coverage. - Vishnu Dutt Sharma; Lifeng Zhou; Pratap Tokekar (ICRA, 2023)

An Energy-Efficient Reconfigurable Autoencoder Implementation on FPGA. - Murat Isik; Matthew Oldland; Lifeng Zhou (IntelliSys (1), 2023)

Assignment Algorithms for Multi-Robot Multi-Target Tracking with Sufficient and Limited Sensing Capability. - Peihan Li; Lifeng Zhou (IROS, 2023)

Funeral at Nine. - Mamadou Barry; Rodrigo Veras; Ziyu Wang; Junhao Xiang; Wang Yu; Lifeng Zhou (SIGGRAPH Asia Computer Animation Festival, 2023)

Graph Neural Networks for Decentralized Multi-Agent Perimeter Defense. - Elijah S. Lee; Lifeng Zhou; Alejandro Ribeiro; Vijay Kumar 001 (CoRR, 2023)

Energy-Aware Routing Algorithm for Mobile Ground-to-Air Charging. - Bill Cai; Fei Lu; Lifeng Zhou (CoRR, 2023)

Robust Multiple-Path Orienteering Problem: Securing Against Adversarial Attacks. - Guangyao Shi; Lifeng Zhou; Pratap Tokekar (IEEE Trans. Robotics, 2023)

Robust Multi-Robot Active Target Tracking Against Sensing and Communication Attacks. - Lifeng Zhou; Vijay Kumar 001 (IEEE Trans. Robotics, 2023)

Coarse-to-fine Alignment Makes Better Speech-image Retrieval. - Lifeng Zhou; Yuke Li (ICME, 2024)

Learning Decentralized Flocking Controllers with Spatio-Temporal Graph Neural Network. - Siji Chen; Yanshen Sun; Peihan Li; Lifeng Zhou; Chang-Tien Lu (ICRA, 2024)

Cross-Modal Denoising: A Novel Training Paradigm for Enhancing Speech-Image Retrieval. - Lifeng Zhou; Yuke Li; Rui Deng; Yuting Yang; Haoqi Zhu (INTERSPEECH, 2024)

Dynamic Adversarial Attacks on Autonomous Driving Systems. - Amirhosein Chahe; Chenan Wang; Abhishek Jeyapratap; Kaidi Xu; Lifeng Zhou (Robotics: Science and Systems, 2024)

Enhancing Unified Streaming and Non-Streaming ASR Through Curriculum Learning With Easy-To-Hard Tasks. - Yuting Yang; Yuke Li; Lifeng Zhou; Binbin Du; Haoqi Zhu (SLT, 2024)

Monte Carlo Tree Search for Behavior Planning in Autonomous Driving. - Qianfeng Wen; Zhongyi Gong; Lifeng Zhou; Zhongshun Zhang (SSRR, 2024)

Challenges Faced by Large Language Models in Solving Multi-Agent Flocking. - Peihan Li; Vishnu Menon; Bhavanaraj Gudiguntla; Daniel Ting; Lifeng Zhou (CoRR, 2024)

Multi-Robot Target Tracking with Sensing and Communication Danger Zones. - Jiazhen Li; Peihan Li; Yuwei Wu 005; Gaurav S. Sukhatme; Vijay Kumar 001; Lifeng Zhou (CoRR, 2024)

Domain-Transferred Synthetic Data Generation for Improving Monocular Depth Estimation. - Seungyeop Lee; Knut Peterson; Solmaz Arezoomandan; Bill Cai; Peihan Li; Lifeng Zhou; David K. Han (CoRR, 2024)

Leveraging LLMs for Enhanced Open-Vocabulary 3D Scene Understanding in Autonomous Driving. - Amirhosein Chahe; Lifeng Zhou (CoRR, 2024)

Resilient and Adaptive Replanning for Multi-Robot Target Tracking with Sensing and Communication Danger Zones. - Peihan Li; Yuwei Wu 005; Jiazhen Liu; Gaurav S. Sukhatme; Vijay Kumar 001; Lifeng Zhou (CoRR, 2024)

Hierarchical LLMs In-the-loop Optimization for Real-time Multi-Robot Target Tracking under Unknown Hazards. - Yuwei Wu 005; Yuezhan Tao; Peihan Li; Guangyao Shi; Gaurav S. Sukhatme; Vijay Kumar 001; Lifeng Zhou (CoRR, 2024)

Boosting Jailbreak Transferability for Large Language Models. - Hanqing Liu; Lifeng Zhou; Huanqian Yan (CoRR, 2024)

Prompt-Guided Environmentally Consistent Adversarial Patch. - Chaoqun Li; Huanqian Yan; Lifeng Zhou; Tairan Chen; Zhuodong Liu; Hang Su (CoRR, 2024)

Global Challenge for Safe and Secure LLMs Track 1. - Xiaojun Jia; Yihao Huang 001; Yang Liu 003; Peng Yan Tan; Weng Kuan Yau; Mun-Thye Mak; Xin Ming Sim; Wee Siong Ng; See-Kiong Ng; Hanqing Liu; Lifeng Zhou; Huanqian Yan; et al. (CoRR, 2024)

Bioinspired designer DNA NanoGripper for virus sensing and potential inhibition. - Lifeng Zhou; Yanyu Xiong; Abhisek Dwivedy; Mengxi Zheng; Laura Cooper; Skye Shepherd; Tingjie Song; Wei Hong; Linh T. P. Le; Xin Chen; Saurabh Umrao; Lijun Rong; et al. (Sci. Robotics, 2024)

A Security-Enhanced Certificateless Designated Verifier Aggregate Signature Scheme for HWMSNs in the YOSO Model. - Xincheng Li; Lifeng Zhou; Xinchun Yin; Jianting Ning (IEEE Internet Things J., 2024)

ReasonDrive: Efficient Visual Question Answering for Autonomous Vehicles with Reasoning-Enhanced Small Vision-Language Models. - Amirhosein Chahe; Lifeng Zhou (CVPR Workshops, 2025)

BLR-MoE: Boosted Language-Routing Mixture of Experts for Domain-Robust Multilingual E2E ASR. - Guodong Ma; Wenxuan Wang; Lifeng Zhou; Yuting Yang; Yuke Li; Binbin Du (ICASSP, 2025)

Bridging the Modality Gap for Speech-image Retrieval with Text Supervision. - Yuting Yang; Lifeng Zhou; Yuke Li; Guodong Ma (ICASSP, 2025)

Query3D: LLM-Powered Open-Vocabulary Scene Segmentation with Language Embedded 3D Gaussians. - Amirhosein Chahe; Lifeng Zhou (WACV (Workshops), 2025)

Double Oracle Algorithm for Game-Theoretic Robot Allocation on Graphs. - Zijian An; Lifeng Zhou (IEEE Trans. Robotics, 2025)

A high step-up DC/DC converter with capacitor-clamped double-switch structure for proton exchange membrane fuel cell application. - Xuanhao Zhou; Zhidong Qi; Liyin Bai; Kaihui Chu; Lifeng Zhou (Int. J. Circuit Theory Appl., 2025)

Large Language Models for Multi-Robot Systems: A Survey. - Peihan Li; Zijian An; Shams Abrar; Lifeng Zhou (CoRR, 2025)

Reinforcement Learning for Game-Theoretic Resource Allocation on Graphs. - Zijian An; Lifeng Zhou (CoRR, 2025)

LLM-Land: Large Language Models for Context-Aware Drone Landing. - Siwei Cai; Yuwei Wu; Lifeng Zhou (CoRR, 2025)

LLM-Flock: Decentralized Multi-Robot Flocking via Large Language Models and Influence-Based Consensus. - Peihan Li; Lifeng Zhou (CoRR, 2025)

Failure-Aware Multi-Robot Coordination for Resilient and Adaptive Target Tracking. - Peihan Li; Jiazhen Liu; Yuwei Wu; Lifeng Zhou (CoRR, 2025)