智能媒体分析与视觉感知团队负责人—高赞

发布者:hhxx发布时间:2023-12-29浏览次数:169

高赞,山东省人工智能研究院,三级教授,博士生/硕士生导师,国家万人计划人选、山东省突贡专家,山东省高等学校优秀青年 智能媒体分析与视觉感知创新团队负责人和济南市高校院所 社交网络虚假媒体智能分析与理解创新团队负责人,中国计算机学会和中国图象图形学会高级会员,山东省人工智能学会常务理事。于20072011年分别获山东大学通信与信息系统和北京邮电大学通信与信息系统的硕士、博士学位,此外,20092016年分别被公派到美国卡耐基梅陇大学和新加坡国立大学访问学习。主要研究方向为:人工智能、智能媒体分析、社交网络舆情分析、计算机视觉和机器学习及其应用。

近年来,主持或参与包括国家自然基金重点和国家重点研发等省部级以上项目20余项,获山东省科技进步一等奖、山东省技术发明一等奖和天津市科技进步二等奖各1项。在国际高水平会议和期刊上发表论文100余篇,IEEE/ACM汇刊或CCF A类会议50余篇,6篇论文入选ESI高被引,1篇入选热点论文,2021年获CCF A类会议SIGIR 2021最佳学生论文,2022年获山东省人工智能年度优秀论文,2023年获中国博士后基金会海河学术交流活动论文一等奖。获授权发明专利48项,其中国际专利3项,实现专利转化7项。受邀担任20余个国际知名期刊和会议的领域主席、程序委员会委员和审稿人, 获得ChinaMM2019PCM 2018的杰出审稿人,CAAI TRITTOMM等国际期刊的编委或客座编委。

 

承担科研项目情况

[1].     国家特支人才计划项目,160万,2022.01~2024.12,在研,主持

[2].     国家重点研发计划,No.2019YFB1404700、现代服务业共性关键技术研发及应用示、1314万元、2019.12~2022.11、完成、任务负责人

[3].     山东省科教产融合试点工程揭榜制类重大创新专项揭榜立项,No.2022JBZ003,可解释可通用人工智能关键技术研究及应用,2022.01-2023.121200万元,在研, 课题负责人

[4].     山东省科教产融合试点工程基础研究类项目,No.2022PYI001,面向公共安全监控视频的时序动作智能检测理论和方法研究,2022.01-2023.1250万元,在研, 主持

[5].     济南市高校院所创新团队, No.2020GXRC040, 社交网络虚假媒体智能分析与理解创新团队, 2020.09 - 2023.09, 100万元, 在研, 主持

[6].     山东省教育厅, 山东省高等学校青创科技支持计划, No.2020KJN012, 智能媒体分析与视觉感知创新团队, 2020.03 - 2023.02, 20万元, 在研, 主持

[7].     国家自然科学面上基金,No.61872270、基于双链深度时空网络的跨域人体动作识别算法研究、65万元、2019.01-2022.12、完成、主持

[8].     国家自然科学面上基金,No.61572357、基于多视角多模态潜在关联挖掘的动作识别算法研究、2016.01-2019.1264万元、结题、主持

[9].     国家自然科学青年基金,No.61202168、稀疏化、结构化和判别性约束的多视角行为识别方法研究、2013.01-2015.1224万元、结题、主持

 

部分代表性论文

[1].Zan Gao, Shenxun Wei, Weili Guan, Lei Zhu, Meng Wang, and Shenyong Chen, Identity-Guided Collaborative Learning for Cloth-Changing Person Reidentification, TPAMI, 2023. DOI: 10.1109/TPAMI.2023.3334741. (中科院1区,CCF A类期刊)

[2].Haoyu Zhang, Meng Liu, Yuhong Li, Ming Yan, Zan Gao, Xiaojun Chang, Liqiang Nie, Attribute-guided Collaborative Learning for Partial Person Re-identification, TPAMI, 2023, doi: 10.1109/TPAMI.2023.3312302. (中科院1区,CCF A类期刊)

[3].Zhai, Shuyan, Liu, Meng, Li, Yongqiang, Gao, Zan, Zhu, Lei, Nie, Liqiang, Talking Face Generation with Audio-Deduced Emotional Landmarks, in IEEE Transactions on Neural Networks and Learning Systems, 2023, DOI:10.1109/TNNLS.2023.3274676 (中科院1)

[4].Zhicheng Sheng, Liqiang Nie, Meng Liu, Yinwei Wei, and Zan Gao, Towards Fine-Grained Talking Face Generation, IEEE Transaction Image Processing, DOI:10.1109/TIP.2023.3323452, 2023. (中科院1区,CCF A类期刊)

[5].Zan Gao, Hongwei Wei, Weili Guan, Jie Nie, Meng Wang, and Shenyong Chen, A Semantic-aware Attention and Visual Shielding Network for Cloth-changing Person Re-identificationin IEEE Transactions on Neural Networks and Learning Systems, 2023, DOI:10.1109/TNNLS.2023.3329384 (中科院1)

[6].Yibo Zhao, Hua Zhang, Zan Gao*, Wenjie Gao, Meng Wang and Shengyong Chen, A Novel Action Saliency and Context-Aware Network for Weakly-Supervised Temporal Action Localization, in IEEE Transactions on Multimedia, 2022, DOI 10.1109/TMM.2023.3234362 (中科院1)

[7].Yibo Zhao, Hua Zhang, Zan Gao*, Weili Guan, Jie Nie, Anan Liu, Meng Wang, and Shenyong Chen, A Temporal-Aware Relation and Attention Network for Temporal Action Localization, IEEE Transaction Image Processing, VOL. 31, pp.4746-4760, 2022, DOI:10.1109/TIP.2022.3182866. (CCF A类期刊,中科院1)

[8].Zan Gao, Chao Sun, Zhiyong Cheng, Weili Guan, Anan Liu, and Meng Wang, TBNet: A Two-stream Boundary-aware Network for Generic Image Manipulation Localization, IEEE Transaction Knowledge and Data Engineering, vol. 35, no. 7, pp. 7541-7556, 1 July 2023, doi: 10.1109/TKDE.2022.3187091. (CCF A类期刊,ESI高被引)

[9].Z. Gao, L. Guo, T. Ren, A. -A. Liu, Z. -Y. Cheng and S. Chen, Pairwise Two-Stream ConvNets for Cross-Domain Action Recognition With Small Data, in IEEE Transactions on Neural Networks and Learning Systems, vol. 33, no. 3, pp. 1147-1161, March 2022(中科院1区,ESI高被引)

[10].    Zan Gao, Hongwei Wei, Weili Guan, Weizhi Nie, Meng Liu and Meng Wang, Multigranular Visual-Semantic Embedding for Cloth-Changing Person Re-identification, In Proceedings of the 30th ACM International Conference on Multimedia (MM’22), October 10-14, 2022, Lisbon, Portugal. (CCF A类会议)

[11].    Zan Gao, Shenhao Chen, Yangyang Guo, Weili Guan, Jie Nie, and Anan Liu, Generic Image Manipulation Localization through the Lens of Multi-scale Spatial Inconsistence, In Proceedings of the 30th ACM International Conference on Multimedia (MM’22), October 10-14, 2022, Lisbon, Portugal. (CCF A类会议)

[12].    Zan Gao, Yan Zhang, Hua Zhang, Weili Guan, Dong Feng, Shengyong Chen, Multi-Level View Associative Convolution Network for View-Based 3D Model Retrieval. IEEE Trans. Circuits Syst. Video Technol. 32(4): 2264-2278 (2022).(中科院1区)

[13].    Zan Gao, Yibo Zhao, Hua Zhang, Da Chen, Anan Liu and Shengyong Chen, A Novel Multiple-View Adversarial Learning Network for Unsupervised Domain Adaptation Action Recognition, IEEE Trans. Cybernetics, 2021, DOI: 10.1109/TCYB.2021.3105637(中科院1区)

[14].    Zan Gao, Leming Guo, Weili Guan, Anan Liu, Tongwei Ren and Shengyong Chen, A Pairwise Attentive Adversarial Spatiotemporal Network for Cross-domain Few-shot Action Recognition, IEEE Transactions on Image Processing, 2020, doi: 10.1109/TIP.2020.3038372. (CCF A类期刊,中科院1)

[15].    Z. Gao, L. Gao, H. Zhang, Z. Cheng, R. Hong and S. Chen, DCR: A Unified Framework for Holistic/Partial Person ReID, in IEEE Transactions on Multimedia, vol. 23, pp. 3332-3345, 2021, doi: 10.1109/TMM.2020.3023784(中科院1区)

[16].    Zan Gao, Yuxiang Shao,Weili Guan, Meng Liu, Zhiyong Cheng, and Shengyong Chen. 2021. A Novel Patch Convolutional Neural Network for View-based 3D Model Retrieval. In Proceedings of the 29th ACM International Conference on Multimedia (MM’21), October 20-24, 2021, Virtual Event, China. ACM, Chengdu, Sichuan, P.R China (CCF A类会议, Oral)

[17].    Zan Gao, Yinming Li, Weili Guan, Weizhi Nie, Zhiyong Cheng and Anan Liu, Pairwise View Weighted Graph Network for View-based 3D Model Retrieval, SIGIR, 2020. (CCF A类会议)

[18].    Lishuai Gao, Hua Zhang, Zan Gao*, Weili Guan, Zhiyong Cheng and Meng Wang, Texture Semantically Aligned with Visibility-aware for Partial Person Re-identification, ACM MM 2020. (CCF A类会议)

[19].    Z. Gao, L.S Gao, H.Zhang, Z.Y Cheng and R.C Hong, Deep Spatial Pyramid Feature Collaborative Reconstruction for Partial Person ReID, ACM MM 2019 (CCF A 类会议)

[20].    Z.Gao, D.Y Wang, X.N He and Tat-Seng Chua, Group-pair Convolutional Neural Networks for Multi-view based 3D Object Retrieval, AAAI 2018, OralCCF A 类会议)

[21].    Z. Gao, D.Y WangH. Zhang, G.P Xu and Y.B Xue, A Fast 3D Retrieval Algorithm via Class-Statistic and Pair-Constraint Model, ACM MM 2016. (CCF A类会议)

[22].    Gao, Zan and Li, Yinming and Wan, Shaohua, Exploring Deep Learning for View-Based 3D Model Retrieval, ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), 2020, vol.16(1), pp:1-21. (多媒体领域顶级期刊)

[23].    Zan Gao, Haixin Xue and Shaohua Wan, Multiple Discrimination and Pairwise CNN for view-based 3D object retrieval, Neural Networks, Volume 125, May 2020, Pages 290-302, https://doi.org/10.1016/j.neunet.2020.02.017. (中科院1)

[24].    Z.Gao, H.Z Xuan, S.H Wang, H. Zhang and Y.L Wang, Adaptive Fusion and Category-Level Dictionary Learning Model for Multi-View Human Action Recognition, IEEE Internet of Things Journal, vol. 6, no. 6, pp. 9280-9293, Dec. 2019.(中科院1区,热点论文,高被引论文)

[25].    Z.Gao, D.,Wang, S.H.Wan, H.Zhang, Y.L.Wang, Cognitive-inspired class-statistic matching with triple-constrain for camera free 3D object retrieval, Future Generation Computer Systems, Volume 94, May 2019, Pages 641-653. (中科院1区,高被引论文)

[26].    Leigang Qu, Meng Liu, Jianlong Wu, Zan Gao, Liqiang Nie, Dynamic Modality Interaction Modeling for Image-Text Retrieval, In Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR’21), July 11-15, 2021, Virtual Event, Canada. (CCF A类会议,最佳学生论文)

 

部分代表性授权发明专利

[1]高赞 张桦 徐光平 薛彦兵 申晓霞 宋健明, 基于多视图和多模态特征的自适应动作识别方法, 中国专利,ZL201310386606.92013-08-30

[2]高赞 申晓霞 张桦 薛彦兵 徐光平,基于深度与RGB信息和多尺度多方向等级层次特征的行为识别方法,中国专利,ZL201310259191.92013-06-26

[3]张桦 高赞 张燕 汪日伟 徐光平 薛彦兵,基于特征变换和词典学习的多特征动作识别方法, 中国专利,ZL201410632838.2, 2014-11-12

[4]高赞,魏宏伟,宋健明、顾竟潇、王水跟,徐国智、聂礼强,基于语义感知注意力和视觉屏蔽的换衣行人重识别方法,中国专利,ZL202210670639.52022-08-20

[5]高赞,纪威,王水跟,徐国智,顾竟潇、刘大扬、郝敬全,基于多层次残差网络感知和注意力机制的小目标智能检测方法,中国专利,ZL 202210737757.32022-08-19

[6]高赞 魏宏伟 陈达 程志勇 舒明雷 聂礼强 王英龙,基于衣物脱敏网络的多粒度换衣行人重识别方法,中国专利,ZL202110065609.72021-01-18

[7]高赞 陈琳 宋雪萌 王英龙 聂礼强,基于双重属性信息的跨模态行人重识别方法,中国专利,ZL 202010805183.X2020-08-12

[8]高赞 邵煜翔 程志勇 陈达 舒明雷 聂礼强,基于块卷积神经网络的多视图三维模型检索方法,中国专利,ZL202010487922.52020-06-01

[9]高赞 郭乐铭 张桦 薛彦兵 王志岗 徐光平, 基于双链深度双流网络的小数据跨域动作识别方法, 中国专利,ZL201910653579.4, 2021-10-26

[10]  高赞 轩海珍 张桦 王志岗 薛彦兵 徐光平, 基于多视角间共性特性挖掘的多任务动作识别方法, 中国专利,ZL201910653316.3, 2021-09-10

[11]  高赞 李荫民 张桦 徐光平 薛彦兵 王志岗, 基于全局特征捕捉聚合的多视角神经网络的三维模型检索方法, 中国专利,ZL201910653415.1, 2021-08-24

[12]   高赞 高立帅 张桦, 基于可见感知纹理语义对齐的部分行人重识别方法, 中国专利,ZL202010708118.5, 2020-10-20

[13]   高赞、陈心双、赵一博、马春杰、李传森、刘冬冬,基于边缘引导和多层级搜索的图像篡改检测方法,中国专利,专利号:ZL202310617640.6

[14]   高赞、张攀、徐海霞、马春杰、赵一博、薛彦兵、温显斌、李传森、刘冬冬,衣物屏蔽网络的人体高级语义换衣行人重识别方法及装置,中国专利,专利号:ZL202310627517.2

[15]   高赞、杨红旗、赵一博、马春杰、李传森、刘冬冬,多模态假新闻检测方法及系统,中国专利,专利号:ZL202310610867.8

[16]   Zan Gao, Lin Chen, Xuemeng Song, Yinglong Wang, and Liqiang Nie, CROSS-MODALITY PERSON RE-IDENTIFICATION METHOD BASED ON DUAL-ATTRIBUTE INFORMATION2028092, 7 april 2022 (国际专利)

[17]   Zan Gao, Hongwei Wei, Da Chen, Zhiyong Cheng, Minglei Shu, Liqiang Nie, and Yinglong Wang, MULTI-GRANULARITY CLOTHING CHANGINGSPECIFIC PERSON RE­IDENTIFICATION (REID) METHOD BASED ON CLOTHING DESENSITIZATION NETWORK, 2028095, 7 April 2022 (国际专利)

[18]   GAO, Zan; LI, Yinmin; CHENG, Zhiyong; CHEN, Da; SHU, Minglei and NIE, Liqiang, Multi-View Three-Dimensional Model Retrieval Method Based on Non-Local Graph Convolutional Network, 2020104423, September 2019 (国际专利)