个人简介

AcademicQualification: Ph.D.inComputerScienceandTechnology,HarbinInstituteofTechnology,China,1989. M.S.inComputerScienceandTechnology,HarbinInstituteofTechnology,China,1986. B.S.inComputerScienceandTechnology,HarbinUniversityofScienceandTechnology,China,1983. TeachingArea ArtificialIntelligence SoftwareEngineeringWorkingExperience Jan2019-Present Professor, Faculty of Information Technology and International Institute for Next GenerationInternet,MacauUniversityofScienceandTechnology,Macau. Jan2010-Dec2018 Professor/Executive Vice Dean/Dean, School of Electronic and Computer Engineering,PekingUniversity,China. Jan2010-Mar2012 Deputy Director, Guangzhou R&D Center, National Engineering Lab for Video Technology,China. Mar2003-Dec2009 Senior Engineer/General Manager of DTV Department, Zentek Technology Japan, Inc.,Japan. Aug2000-Feb2003 SeniorEngineer/ChiefEngineer,LiberateTechnologiesInc.USA. Jun1992-Jul2000SectionViceChief/StaffEngineer,CanotecCo.,Inc.,CanonGroup.Japan. Mar1989-May1991 Assistant Professor/Associate Professor, Harbin University of Science and Technology/HarbinInstituteofTechnology,China.

研究领域

ComputerVision MultimediaRetrieval ArtificialIntelligentandMachineLearning

近期论文

[1]王文敏，《人工智能原理》，高等教育出版社，中国，2019年8月28日（550千字）。 [2] Lun Huang, WenminWang,Yaxian Xia and Jie Chen. “AdaptivelyAligned Image Captioning viaAdaptive Attention Time.” Advances in neural information processing systems (NeurIPS), 2019. Vancouver, Canada (Accepted). [3] Xiongtao Chen and Wenmin Wang. “Uni-and-Bi-directional Video Prediction via Learning Object-Centric Transformation.”IEEETrans.onMultimedia(TMM),2019.(Accepted). [4] Lun Huang, Wenmin Wang, Jie Chen and Xiaoyong Wei. “Attention on Attention for Image Captioning.” IEEEInt’lConf.onComputerVision(ICCV),2019.Seoul,Korea(Oralpresentation).[5] Zheng Yu, Wenmin Wang, Ge Li. “Multi-Step Self-Attention Network for Cross-Modal Retrieval Based OnA Limited Text Space.” IEEE Int’l Conf. on Acoustics, Speech, and Signal Processing (ICASSP), 2019. Brighton,UK.[6] Lun Huang, WenminWang, GangWang. “Image Captioning with TwoCascadedAgents.” IEEE Int’l Conf. onAcoustics,Speech,andSignalProcessing(ICASSP),2019.Brighton,UK. [7] Jinzhuo Wang, Wenmin Wang and Wen Gao. “Fast andAccurateAction Detection in Videos with MotionCentric Attention Model.” IEEE Trans. on Circuits and Systems for Video Technology (TCSVT), Early Access,Dec2018.[8] Jinzhuo Wang, Wenmin Wang and Wen Gao. “Predicting Diverse Future Frames with Local Transformation-Guided Masking.” IEEE Trans. on Circuits and Systems for Video Technology (TCSVT), EarlyAccess,Nov2018.[9] Jinzhuo Wang, Wenmin Wang, and Wen Gao. “Multiscale deep alternative neural network for large scale videoclassification.”IEEETrans.onMultimedia(TMM),20(10),2018. [10] Ruonan Zhang, Wenmin Wang. “Second- and High-order Graph Matching for Correspondence Problem.” IEEETrans.onCircuitsandSystemsforVideoTechnology(TCSVT),28(10),2018. [11] Jinzhuo Wang, Wenmin Wang, and Wen Gao. “Beyond knowledge distillation: collaborative learning for bidirectionalmodelassistance.”IEEEAccess,Vol.6,2018. [12] Jinzhuo Wang, Wenmin Wang and Wen Gao. “Multi-Scale Deep Alternative Neural Network for LargeScaleVideoClassification.”IEEETransactiononMultimedia(TMM),20(10),2018. [13] Xiongtao Chen, Wenmin Wang, Jinzhuo Wang and Weimian Li. “Learning Object-Centric Transformation forVideoPrediction.”ACM Int’lConf.onMultimedia(MM),2017. [14] Mengdi Fan, Wenmin Wang, Peilei Dong. Liang Han, Ronggang Wang and Ge Li. “Cross-media Retrieval byLearningRich SemanticEmbeddingsofMultimedia.”ACMInt’lConf.onMultimedia (MM),2017. [15] Yihao Zhang, Wenmin Wang and Jinzhuo Wang. "Aligned Local Descriptors and Hierarchical Global Featuresfor PersonRe-identification",Pacific-Rim Conf.onMultimedia(PCM),2017.[16] Baoyang Chen, Wenmin Wang and Jinzhuo Wang. “Video Imagination from a Single Image with TransformationGeneration.”ThematicWorkshops,ACMInt’lConf.onMultimedia(MM), 2017. [17] Hongmeng Song, Wenmin Wang, Jinzhuo Wang and Ronggang Wang. “Collaborative Deep Networks for Pedestrian Detection.”IEEEInt’lConf.onMultimediaBigData(BigMM),2017.(BestPaperAward). [18] Gang Wang, Wenmin Wang, Jingzhuo Wang, Yaohua Bu. “Better Deep Visual Attention with Reinforcement Learning in Action Recognition.” IEEE Int’l Symposium on Circuits and Systems (ISCAS), 2017.[19] Weimian Li, Wenmin Wang, Xiongtao Chen, Jinzhuo Wang and Ge Li. "A joint model for action localization and classification in untrimmed video with visual attention", IEEE Int’l Conf. on Multimedia andExpo(ICME),2017. [20] Liang Han, Wenmin Wang, Mengdi Fan and Ronggang Wang. “Cross-Modality Matching based on Neural Word Embedding and Deep Image Features.” IEEE Int’l Conf. on Acoustics, Speech, and Signal Processing (ICASSP), 2017.[21] Jinzhuo Wang, Wenmin Wang, Ronggang Wang andWen Gao. “Beyond Monte Carlo Tree Search: Playing Go with Deep Alternative Neural Network and Long-Term Evaluation.” Association for the Advance of ArtificialIntelligence(AAAI), 2017. [22] Jinzhuo Wang, Wenmin Wang, Xiongtao Chen, Ronggang Wang and Wen Gao. “Deep Alternative Neural Network: Exploring Contexts as Early as Possible forAction Recognition.” Advances in neural information processingsystems(NIPS), 2016.[23] Ruonan Zhang, Wenmin Wang and Ronggang Wang. “An MCMC-based Prior Sub-hypergraph Matching inPresenceofOutliers.”Int’lConf.onPattern Recognition(ICPR), 2016. [24] Zhihao Li, Wenmin Wang, Nannan Li and Jinzhuo Wang. “Tube ConvNets: Better Exploiting Motion for ActionRecognition.”IEEEInt’lConf.onImageProcessing(ICIP),2016. [25] Peilei Dong and Wenmin Wang. “Better Region Proposals for Pedestrian Detection with R-CNN.” IEEE Int’lConf.onVisualCommunicationsandImageProcessing(VCIP), 2016.(BestTop10%PaperAward)[26] Jinzhuo Wang, Wenmin Wang, Ronggang Wang and Wen Gao. “CSPS: An adaptive pooling method for Image Classification.”IEEETrans.onMultimedia (TMM),18(6),2016.[27] Mingmin Zhen, Wenmin Wang and Ronggang Wang. Regional Subspace Projection Coding for ImageRetrieval, ACMInt’lConf.onMultimedia Retrieval(ICMR),2016. [28] Yang Zhang,Yunqing Xia,Yi Liu and Wenmin Wang. “Clustering Sentences with Density Peaks for Multidocument Summarization.” The 2015 Annual Conf. of the North American Chapter of the ACL (NAACL), 2015. [29] Yang Zhao, Ronggang Wang, Wenmin Wang and Wen Gao. “High Resolution Local Structure Constrained Image Upsampling.”IEEETrans.onImageProcessing(TIP),24(11),2015.