Lizhen Wu
Associate Research ScientistAbout
Research
Publications
2025
Reducing Scene Graph Generation Parameters Towards UAV Understanding of Structured Environments
Li X, Wang C, Niu Y, Yuan M, Wu L. Reducing Scene Graph Generation Parameters Towards UAV Understanding of Structured Environments. 2025, 00: 4052-4058. DOI: 10.1109/iros60139.2025.11247395.Peer-Reviewed Original ResearchScene graph generationScene graph generation modelCross-attention mechanismReal-world scenesCross-attentionEntity predictionRelation classificationUAV experimentsGraph generationQuery pairsUAV autonomyComputational resourcesSemantic spaceLoss functionUAV applicationsPrediction loss functionObject entitiesComputational speedUAVSceneQuery tripletModel parametersModel performanceUnfamiliar environmentStructured environmentDe-Biasing Correction for Scene Graph Generation Based on Relation Correlation and Probability Expectation
Li X, Wu L, Niu Y, Liu A. De-Biasing Correction for Scene Graph Generation Based on Relation Correlation and Probability Expectation. IEEE Signal Processing Letters 2025, 32: 4014-4018. DOI: 10.1109/lsp.2025.3618206.Peer-Reviewed Original ResearchMUTP-LLM: Empowering Multi-UAV Task Planning with Large Language Models
Yu H, Wang C, Niu Y, Wu L. MUTP-LLM: Empowering Multi-UAV Task Planning with Large Language Models. Guidance Navigation And Control 2025, 05: 477-489. DOI: 10.1142/s2737480725500347.Peer-Reviewed Original ResearchLanguage modelNatural language instructionsNatural language understandingMulti-stage architectureHierarchical plannerMulti-UAVHuman commandsLanguage understandingNavigation waypointsTask planningValidation mechanismTraditional plannersTask successAbstract planTask sequenceSuperior performanceHybrid frameworkSimulation experimentsTraditional approachesSemantic flexibilityUAVWaypointsLanguageInstancesArchitectureLightweight Scene Graph Generation with Transformer for Resource-Constrained Platforms
Li X, Wu L, Niu Y, Yuan M. Lightweight Scene Graph Generation with Transformer for Resource-Constrained Platforms. 2025, 00: 7958-7963. DOI: 10.23919/ccc64809.2025.11179594.Peer-Reviewed Original ResearchResource-constrained platformsScene graph generation modelScene graph generationGraph generation modelScene understanding modelLow-performance processorsEnd-to-endEntity detectionGraph generationPublic datasetsDecoding subjectUnmanned systemsLoss functionPrediction loss functionGenerative modelComputational speedAutonomous decision-makingMission planningPredictive learningTechnology modelResource limitationsPlatformDecodingPrediction modelSceneFAM72A promotes UNG2 degradation and mutagenesis in human cancer cells
Feng Y, Barbulescu P, Chana C, Shirdarreh M, Yang H, Wu L, Mamand S, Kashem M, Zia A, Han M, Tsao J, Pugh T, Cescon D, Schatz D, Sicheri F, Martin A, Pezo R. FAM72A promotes UNG2 degradation and mutagenesis in human cancer cells. Scientific Reports 2025, 15: 23467. PMID: 40604025, PMCID: PMC12223117, DOI: 10.1038/s41598-025-07723-x.Peer-Reviewed Original ResearchConceptsUracil DNA glycosylase 2Proteasomal degradationMutagenic repairMutagenic DNA repairFunctional roleTumorigenic tissuesBase excision repairHuman cancer cellsSubstrate adaptorHuman cell linesE3 ligaseBioinformatics studiesDNA repairGenetic lesionsExcision repairHuman cellsCancer cellsCell linesHuman biologyFAM72AMechanisms of carcinogenesisCancer developmentProtein levelsGenesFAM72Multi-Target Association for UAVs Based on Fused Topology and Visual Features
Li X, Wu L, Niu Y, Yuan M. Multi-Target Association for UAVs Based on Fused Topology and Visual Features. IEEE Signal Processing Letters 2025, 32: 1755-1759. DOI: 10.1109/lsp.2025.3559825.Peer-Reviewed Original ResearchLLMSTP: Empowering Swarm Task Planning with Large Language Models
Yu H, Wang C, Wu L, Liu Y, Niu Y. LLMSTP: Empowering Swarm Task Planning with Large Language Models. Lecture Notes In Electrical Engineering 2025, 1374: 500-510. DOI: 10.1007/978-981-96-3552-8_47.Peer-Reviewed Original ResearchLanguage modelTask planningSwarm formation controlNatural language instructionsNatural language understandingTask planning methodUAV mission planningLanguage understandingTask commandsEnvironment informationUAV behaviorHuman operatorFormation controlUAV functionsUAVMission planningSimulation experimentsHigher accuracyPlanning methodTask typeTaskAccurate mappingMission requirementsLanguageDesign promptsConflict Detection and Resolution Strategies Using Genetic Algorithms and Neural Networks for Airspace Applications
Wu S, Wu L, Zhu Z, Li R. Conflict Detection and Resolution Strategies Using Genetic Algorithms and Neural Networks for Airspace Applications. Lecture Notes In Electrical Engineering 2025, 1326: 682-693. DOI: 10.1007/978-981-96-2468-3_57.Peer-Reviewed Original ResearchNeural networkGenetic algorithmTraditional single algorithmConflict detection algorithmGJK algorithmConflict detection problemElite retention strategyDetection algorithmSingle algorithmDetection problemCombined algorithmConflict detectionConflict problemAlgorithmConflict resolution methodSimulation resultsAirspace conflictsComparison resultsResolution methodNetworkUsage conditionsResolution strategiesCombat effectivenessAirspace applicationsNeuralMulti-UAV Cooperative Task Allocation Based on Fish Swarm Auction Hybrid Algorithm
Mo Z, Zhang T, Zhou X, Wang C, Wu L. Multi-UAV Cooperative Task Allocation Based on Fish Swarm Auction Hybrid Algorithm. Lecture Notes In Electrical Engineering 2025, 1326: 583-596. DOI: 10.1007/978-981-96-2468-3_49.Peer-Reviewed Original ResearchHybrid algorithmTask allocation problemTask allocation modelTask execution timeStep sizeFish swarm algorithmUAV swarmMulti-UAVTask allocationAllocation schemeAuction algorithmLocal optimaConvergence speedSwarm algorithmCooperative combatImprove solution accuracyAllocation problemGlobal searchTask priorityArtificial fishSuperior convergenceAlgorithmSimulation resultsOptimization goalSolution accuracyInsights of Key Technologies for Manned-Unmanned Teaming
Yuan M, Wang C, Wu L, Yin D. Insights of Key Technologies for Manned-Unmanned Teaming. Lecture Notes In Electrical Engineering 2025, 1326: 646-658. DOI: 10.1007/978-981-96-2468-3_54.Peer-Reviewed Original ResearchManned-unmanned teamingHuman-swarm interactionMUM-THuman-machine interactionArtificial intelligenceAugmented RealityHuman-machine interaction interfaceHuman-in-the-loop mannerNatural user interfaceHuman-in-the-loopDevelopment of artificial intelligenceReal-world tasksHuman commandsDialogue systemsIntelligent interfaceUser interfaceSpeech recognitionUnmanned systemsOODA loopReal-time feedbackLevel of autonomyKey technologiesEye trackingTaskDesign elements