人物經曆
2010-2019年西北工業大學本科-博士
2020年至今，中國人民大學高瓴人工智能學院，準聘助理教授
2019-2020年，百度研究院，人工智能研究員
主要成就
科研成果
1、DiHu,XuhongLi,LichaoMou,PuJin,DongChen,LipingJing,XiaoxiangZhu,andDejingDou,Cross-TaskTransferforMultimodalAerialSceneRecognition,InProceedingsoftheEuropeanConferenceonComputerVision(ECCV),2020.
2、RuiQian,DiHu,HeinrichDinkel,MengyueWu,NingXu,andWeiyaoLin,LearningtoVisuallyLocalizeMultipleSoundSourcesviaATwo-stageManner,InProceedingsoftheEuropeanConferenceonComputerVision(ECCV),2020.
3、DiHu,FeipingNie,andXuelongLi,DeepLinearDiscriminantAnalysisHashing,SciSinInform,2019.(CCFA)
4、DiHu,FeipingNie,andXuelongLi,DeepMultimodalClusteringforUnsupervisedAudiovisualLearning,InProceedingsoftheIEEEConferenceonComputerVisionandPatternRecognition(CVPR),2019.(CCFA)
5、DiHu,DongWang,FeipingNie,QiWang,andXuelongLi,ListentotheImage,InProceedingsoftheIEEEConferenceonComputerVisionandPatternRecognition(CVPR),2019.(CCFA)
6、DiHu,ChengzeWang,FeipingNie,andXuelongLi,DenseMultimodalFusionforHierarchicallyJointRepresentation,InProceedingsoftheIEEEConferenceonAcoustics,SpeechandSignalProcessing(ICASSP),2019.
7、DiHu,FeipingNie,andXuelongLi,DiscreteSpectralHashingforEfficientSimilarityRetrieval,IEEETrans.ImageProcessing(TIP),2018.(CCFA)
8、DiHu,FeipingNie,andXuelongLi,DeepBinaryReconstructionforCross-modalHashing,IEEETrans.Multimedia(TMM),2018.
9、XuelongLi,DiHu,andXiaoqiangLu,Image2song:SongRetrievalviaBridgingImageContentandLyricWords,InProceedingsoftheIEEEConferenceonComputerVision(ICCV),2017.(CCFA)
11、XuelongLi,DiHu,andFeipingNie,DeepBinaryReconstructionforCross-modalHashing,InProceedingsoftheACMConferenceonMultimedia(ACMMM),2017.(CCFA)
12、XuelongLi,DiHu,andFeipingNie,LargeGraphHashingwithSpectralRotation,InProceedingsoftheAAAIConferenceonArtificialIntelligence(AAAI),2017.(CCFA)
13、DiHu,XiaoqiangLu,andXuelongLi,MultimodalLearningviaExploringDeepSemanticSimilarity,InProceedingsoftheACMConferenceonMultimedia(ACMMM),2016.(CCFA)
14、DiHu,XuelongLi,andXiaoqiangLu,TemporalMultimodalLearninginAudiovisualSpeechRecognition,InProceedingsoftheIEEEConferenceonComputerVisionandPatternRecognition(CVPR),2016.(CCFA)
15、DiHu,ZhengWang,HaoyiXiong,DongWang,FeipingNie,andDejingDou,HeterogeneousSceneAnalysisviaSelf-supervisedAudiovisualLearning,InProceedingsoftheIEEEConferenceonComputerVisionandPatternRecognitionWorkshop(CVPRW),2020.
16、DiHu,LichaoMou,QingzhongWang,JunyuGao,YuanshengHua,DejingDou,andXiaoxiangZhu,DoesAmbientSoundHelp?-AudiovisualCrowdCounting,InProceedingsoftheIEEEConferenceonComputerVisionandPatternRecognitionWorkshop(CVPRW),2020.
17、YapengTian,DiHu,ChenliangXu,Co-LearnSoundingObjectVisualGroundingandVisuallyIndicatedSoundSeparationinACycle,InProceedingsoftheIEEEConferenceonComputerVisionandPatternRecognitionWorkshop(CVPRW),2020.
18、RuiQian,DiHu,HeinrichDinkel,MengyueWu,NingXu,WeiyaoLin,ATwo-StageFrameworkforMultipleSound-SourceLocalization,InProceedingsoftheIEEEConferenceonComputerVisionandPattern
獲獎情況
2020.9榮獲中國人工智能學會優秀博士論文獎
2019.8入選百度『AIDU』全球頂尖人工智能人才計劃
2019.8榮獲ACMXI’AN優秀博士論文獎（共2人）
2019.5入選CVPRDoctoralConsortium博士生論壇（大陸共4人）
2018.7榮獲國家留學基金委赴卡内基梅隆大學聯合培養學金
社會任職
期刊審稿人:TIP,TKDE,TMM,Neurocomputing
會議程序委員:NeurIPS2020-2021,CVPR201820202021,ICCV20192021,ECCV2020,ICML2021,AAAI201820202021,ACCV20182020
聯合組織者:
CVPR2021TutorialonAudio-visualSceneUnderstanding
WACV2021TutorialonAudio-visualSceneUnderstanding
ICDM2019TutorialonAutomatedDeepLearning:Theory,Algorithms,Platforms,andApplications
學生要求
對客觀存在保持好奇心，自驅，刻苦，以做有趣、有溫度、有價值的研究為目标。
研究方向
機器多模态感知與學習：以大腦的多通道知覺為背景，挖掘并探究多模态信息（如圖像、聲音、觸覺等）在機器感知、推理與理解等方向的潛在問題與方法，讓機器具備『多感官認知能力』。
