- 本团队学生名额有限，只招收有学术和科研追求的学生，并甘愿为有学术科研理想的学生“铺路开道”。非科研之路志同道合者勿扰，以免相互折磨。

    + 本团队认为的合格硕士毕业生为：(1)有独立承担横向项目的能力，或 (2) 发表高水平期刊或会议论文，学术有较强的创新，成果国际知名

    + 本团队认为的合格博士毕业生为：成果被视为研究方向的重要成果，受到广泛关注，且“个人姓名与成果关键词之间的绑定关系”受到同领域专家的认可

- 看到此，仍然坚定确定希望进组的学生，请联系邮箱bingkunbao at njupt.edu.cn

鲍秉坤，南京邮电大学通信与信息工程学院副院长，教授、博士生导师，江苏省****重大协同创新平台负责人。入选中组部万人计划-青年拔尖人才、江苏省杰青、江苏省双创人才。研究方向为多媒体计算、社交多媒体、计算机视觉、人工智能等。先后主持国家级项目6项，包括国家重点研发计划：科技创新2030-人工智能重大专项、国家自然科学基金重点项目等。荣获2018年度电子学会科学技术（自然科学类）一等奖。荣获多媒体领域的ACM TOMM 2016年度最佳论文奖（国内学者首次获得）、IEEE MM 2017年度最佳论文奖、Multimedia Modeling 2019年度最佳论文Runner Up奖。荣获ICME 2020 Outstanding Areas Chair。

担任SCI检索期刊Multimedia Systems编委，多媒体领域重要SCI检索期刊Multimedia Tools and Applications客座编委，多媒体领域顶级会议ACM MM 2019/2020领域主席，多媒体领域重要会议MMM 2020宣传主席，MMM 2019/2020 专会组织者，多媒体领域重要会议ICMR 2020专会组织者，多媒体领域重要会议ACM MM Asia 2020专会主席、ACM MM Asia 2019出版主席，多媒体领域重要会议ICME 2020领域主席，ICME 2019分会组织者，多媒体领域重要会议ICIMCS 2018出版主席。

1.  国家重点研发计划：科技创新2030-“新一代人工智能”重大专项，认知计算基础理论与方法研究，2020.11至2023年10月，负责人；

2.  国家自然科学基金重点项目，跨模态社会媒体的深度分析与决策, 2020.01至2024.12，负责人；

3.  国家自然科学基金面上项目，面向社会事件的跨模态知识构建、演化与推理，2019.01至2022.12，负责人；

4.  国家自然科学基金面上项目，面向旅游的地理位置互联网大数据的分析与处理，2016-2019，负责人；

5.  国家自然科学基金青年项目，基于物理空间与网络空间的社会事件分析的研究，2013-2015,负责人；

6.  江苏省自然科学基金杰青项目，多媒体数据感知与分析，2021.01至2023.12，负责人；

7.  江苏省***创新平台项目，×××，2019.10至2022.10，负责人；

8.  北京市自然科学基金面上项目，面向社交网络的社会事件感知、分析与处理，2015-2017，负责人；【结题入选优秀成果】

9.  民口横向，基于关键因素解耦的满意度预测模型效果提升研究， 2022.01至2022.12，负责人；

10.军口横向，×××对抗攻击功能验证系统，2022.08至2022.10，负责人；

11.民口横向，基于视觉认知的广告图片自动生成与评价，2018-2019，负责人；

12.博士后基金特别项目，热点事件在物理空间和网络空间上自动检测与跟踪的研究，2013-2014，负责人；

13.博士后基金面上项目，基于互联网资源的多标签图像标注问题的研究，2012-2013，负责人；

1.Multimedia Systems Associate Editor

2.Multimedia Tools and Applications Leading Guest Editor

3.ACM MM 19’/20’Area Chair

4.ICIG 23' Publicity Chair

5.MMM 20’Publicity Chair,

6.MMM 19’/20’ Special Session Organizer

7.ICMR 2020 Special Session Organizer

8.ACM MM Asia 2020 Special Session Chair

9.ACM MM Asia 2019 Publication Chair

10.ICME 2020 Area Chair

11.ICME 2019 Workshop Organizer

12.ICIMCS 2018 Publication Chair

13.ICIG 19’ Special Session Organizer

13.ICIMCS’15 Special Session chair

[1] Sisi You, Hantao Yao, Bing-kun Bao, Changsheng Xu. UTM: A Unified Multiple Object Tracking Model with Identity-Aware Feature Enhancement. IEEE Conference on Computer Vision and Pattern Recognition (2023).

[2] Ming Tao, Bing-Kun Bao*, Hao Tang, Changsheng Xu. GALIP: Generative Adversarial CLIPs for Text-to-Image Synthesis. IEEE Conference on Computer Vision and Pattern Recognition (2023).

[3] Ming Tao, Bing-Kun Bao*, Hao Tang, Fei Wu, Longhui Wei, Qi Tian: DE-Net: Dynamic Text-guided Image Editing Adversarial Networks, AAAI Conference on Artificial Intelligence (2023).

[4] Mengqi Yuan, Bing-Kun Bao*, Zhiyi Tan, and Changsheng Xu. Adaptive Text Denoising Network for Image Caption Editing. ACM Trans. Multimedia Comput. Commun. Appl.  (2022).

[5] Ming Tao, Hao Tang, Fei Wu, Xiaoyuan Jing, Bing-Kun Bao*, Changsheng Xu. DF-GAN: A Simple and Effective Baseline for Text-to-Image Synthesis. IEEE Conference on Computer Vision and Pattern Recognition (2022). (Oral)

[6] Bin Han, and Bing-Kun Bao: River Channel Extraction in SAR Images Using Level Sets Driven by Symmetric Kullback-Leibler Distance. IEEE Transactions on Geoscience and Remote Sensing (2022).

[7] Bowen Yuan, Bairu Chen, Zhiyi Tan, Xi Shao, Bing-Kun Bao: Unbiased feature enhancement framework for cross-modality person re-identification. Multimedia Systems (2022): 1-11.

[8] Bairu Chen, Yibo Gan, Bing-Kun Bao: Multi-pose Facial Expression Recognition Based on Unpaired Images. ICIG 2021: 374-385.

[9] Wang, Jianyu, Bingkun Bao, and Changsheng Xu: DualVGR: A Dual-Visual Graph Reasoning Unit for Video Question Answering. IEEE Transactions on Multimedia (2021).

[10] Xiang-Jun Shen,Si-Xing Liu, Bing-Kun Bao, Chunhong Pan, Zheng-Jun Zha, Jianping Fan:A generalized least-squares approach regularized with graph embedding for dimensionality reduction. Pattern Recognition 98 (2020)

[11] Wen-Ze Shao,Yuan-Yuan Liu, Lu-Yue Ye, Li-Qian Wang, Qi Ge, Bing-Kun Bao, Hai-Bo Li:DeblurGAN+:Revisiting blind motion deblurring using conditional adversarial networks.Signal Processing 168 (2020)

[12] Timothy Apasiba Abeo, Xiangjun Shen, Bing-Kun Bao, Zheng-Jun Zha, Jianping Fan:A generalized multi-dictionary least squares framework regularized with multi-graph embeddings. Pattern Recognition 90: 1-11 (2019)

[13] Xuan Ma, Bing-Kun Bao, Lingling Yao, Changsheng Xu:Multimodal Latent Factor Model with Language Constraint for Predicate Detection. ICIP 2019: 4454-4458

[14] Junyi Wang, Bing-Kun Bao, Changsheng Xu:Sentiment-Aware Multi-modal Recommendation on Tourist Attractions. MMM (1) 2019: 3-16（MMM 2019 Best Paper Runner Up）

[15] Weiqing Min, Bing-Kun Bao, Shuhuan Mei, Yaohui Zhu, Yong Rui, Shuqiang Jiang:You Are What You Eat: Exploring Rich Recipe Information for Cross-Region Food Analysis. IEEE Trans. Multimedia 20(4): 950-964 (2018) 

[16] Bing-Kun Bao, Yangyang Xiang, Lusong Li, Shuen Lyu, Harsh Munshi, Honghong Zhu:Scalable Cloud Service For Multimedia Analysis Based on Deep Learning. ICME Workshops 2018: 1-4

[17] Jin Zhang, Bing-Kun Bao, Changsheng Xu:Scene Recognition via Bi-enhanced Knowledge Space Learning. ICS 2018: 215-223

[18] Lei Yu, Bing-Kun Bao, Changsheng Xu:A discriminative graph inferring framework towards weakly supervised image parsing. Multimedia Syst. 23(1): 5-18 (2017)

[19] Fudong Nian, Bing-Kun Bao, Teng Li, Changsheng Xu:Multi-Modal Knowledge Representation Learning via Webly-Supervised Relationships Mining. ACM Multimedia 2017: 411-419

[20] Jitao Sang, Yue Gao, Bing-Kun Bao, Cees Snoek, Qionghai Dai:Recent advances in social multimedia big data mining and applications. Multimedia Syst. 22(1): 1-3 (2016)

[21] Bing-Kun Bao, Congyan Lang, Tao Mei, Alberto Del Bimbo:Guest Editorial: Learning Multimedia for Real World Applications. Multimedia Tools Appl. 75(5): 2413-2417 (2016)

[22] Jing Liu, Tongwei Ren, Bing-Kun Bao, Jia Bei:Depth-aware layered edge for object proposal. ICME 2016: 1-6

[23] Bing-Kun Bao, Weiqing Min, Teng Li, Changsheng Xu:Joint Local and Global Consistency on Interdocument and Interword Relationships for Co-Clustering. IEEE Trans. Cybernetics 45(1): 15-28(2015)

[24] Chao Sun, Bing-Kun Bao, Changsheng Xu:Knowing Verb From Object: Retagging With Transfer Learning on Verb-Object Concept Images. IEEE Trans. Multimedia 17(10): 1747-1759(2015)

[25] Weiqing Min, Bing-Kun Bao, Changsheng Xu, M. Shamim Hossain:Cross-Platform Multi-Modal Topic Modeling for Personalized Inter-Platform Recommendation. IEEE Trans. Multimedia 17(10): 1787-1801(2015)

[26] Bing-Kun Bao, Changsheng Xu, Weiqing Min, Mohammod Shamim Hossain:Cross-Platform Emerging Topic Detection and Elaboration from Multimedia Streams. TOMM 11(4): 54:1-54:21 (2015)(ACM TOMM 2016年度最佳论文奖)

[27] Weiqing Min, Bing-Kun Bao, Changsheng Xu:Multimodal Spatio-Temporal Theme Modeling for Landmark Analysis. IEEE MultiMedia 21(3): 20-29 (2014) （IEEE MM 2017年度Best Paper Award）

[28] Weiqing Min, Changsheng Xu, Min Xu, Xian Xiao, Bing-Kun Bao:Mobile Landmark Search with 3D Models. IEEE Trans.  Multimedia 16(3): 623-636 (2014)

[29] Chao Sun, Tianzhu Zhang, Bing-Kun Bao, Changsheng Xu, Tao Mei:Discriminative Exemplar Coding for Sign Language Recognition With Kinect. IEEE Trans. Cybernetics 43(5):1418-1428 (2013)

[30] Bing-Kun Bao, Guangyu Zhu, Jialie Shen, Shuicheng Yan:Robust Image Analysis With Sparse Representation on Quantized Visual Features. IEEE Trans. Image Processing 22(3): 860-871 (2013)

[31] Bing-Kun Bao, Guangcan Liu, Richang Hong, Shuicheng Yan, Changsheng Xu:General Subspace Learning With Corrupted Training Data Via Graph Embedding. IEEE Trans. Image Processing 22(11): 4380-4393 (2013)

[32] Bing-Kun Bao, Weiqing Min, Ke Lu, Changsheng Xu:Social event detection with robust high-order co-clustering. ICMR 2013: 135-142

[33] Bing-Kun Bao, Guangcan Liu, Changsheng Xu, Shuicheng Yan:Inductive Robust Principal Component Analysis. IEEE Trans. Image Processing 21(8): 3794-3800 (2012)

[34] Bing-Kun Bao, Teng Li, Shuicheng Yan:Hidden-Concept Driven Multilabel Image Annotation and Label Ranking. IEEE Trans. Multimedia 14(1): 199-210 (2012)

[35] Bing-Kun Bao,Weiqing Min, Jitao Sang, Changsheng Xu:Multimedia news digger on emerging topics from social streams. ACM Multimedia 2012

[36] Bing-Kun Bao,Bingbing Ni, Yadong Mu,Shuicheng Yan:Efficient region-aware large graph construction towards scalable multi-label propagation. Pattern Recognition 44(3):598-606 (2011)