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高 赞




姓    名高赞

职    称教授

导师类型博士生导师、硕士生导师

电子邮箱gaozan114@126.com

办公地点:8-404

研究方向:人工智能、智能媒体分析、计算机视觉和机器学习及其应用

工学博士,教授,硕士/博士生导师,国家青年人才计划人选、山东省突贡专家、天津市高校中青年骨干人才,天津市131创新型人才,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。近年来,主持完成或在研国家基金4项,参与包括国家自然基金重点,国家重点研发计划等省部级以上课题10余项。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40余篇,其中包括TPAMI,TIP,TMM, TCYBE,TNNLS,TCSVT,TOMM,CVPR,SIGIR, ACM MM,WWW和AAAI等, 5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 最佳学生论文。此外,先后获山东省科技进步一等奖和天津市科技进步二等奖各1项,获授权发明专利40余项,其中包括2项国际专利。

目前兼任计算机学会和中国图形图像学会高级会员,山东省人工智能学会常务理事,计算机学会多媒体技术专委会、计算机视觉专委会、模式识别与人工智能委员会委员,中国图形图象学会多媒体技术专委会委员。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ChinaMM2019、PCM 2018的杰出审稿人,担任多个国际期刊编委或客座编委。

(1)国家自然科学面上基金,基于多层次时序关系感知的视频动作检测和定位算法研究、2024.01-2027.12、在研、主持

(2)现代服务业共性关键技术研发及应用示范-服务内容资源管理技术研发,国家重点研发计划,2019-12 至 2022-11,课题骨干

(3)基于双链深度时空网络的跨域人体动作识别算法研究,国家自然科学面上基金,2019/01-2022/12、结题,主持

(4)基于多视角多模态潜在关联挖掘的动作识别算法研究、国家自然科学面上基金, 2016/01-2019/12、结题,主持

(5)稀疏化、结构化和判别性约束的多视角行为识别方法研究、国家自然科学青年基金, 2013/01-2015/12、结题,主持

(6)山东省教育厅,山东省高等学校青创科技支持计划,2020KJN012,智能媒体分析与视觉感知创新团队,2020-03 至 2023-02,主持


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, IEEE Transactions on Pattern Analysis & Machine Intelligence, pp. 2819-2837, vol. 46, 2024

[2] Haoyu Zhang, Meng Liu, Yuhong Li, Ming Yan, Zan Gao, Xiaojun Chang, Liqiang Nie, Attribute-guided Collaborative Learning for Partial Person Re-identification, IEEE Transactions on Pattern Analysis & Machine Intelligence, Volume: 45, Issue: 12, Pages: 14144-14160, 2023

[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

[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

[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-identification,in IEEE Transactions on Neural Networks and Learning Systems, 2023, DOI:10.1109/TNNLS.2023.3329384

[6] Zan Gao, Peng Chen, Tao Zhuo, Meng Liu, Lei Zhu, Meng Wang, Shengyong Chen,A Semantic Perception and CNN-Transformer Hybrid Network for Occluded Person Re-Identification. IEEE Trans. Circuits Syst. Video Technol. 34(4): 2010-2025 (2024)

[7] 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

[8] 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

[9] 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.

[10] 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

[11] 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

[12] 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

[13] 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)

[14] 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

[15] 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, vol. 30, pp. 767-782, 2021

[16] 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

[17] 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 

[18] 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

[19] 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.

[20] 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



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