Prof. Bing-Kun Bao is currently the Professor, Doctoral Supervisor, and Dean with the School of Computer Science, Nanjing University of Posts and Telecommunications, China. Her research interests include artificial intelligence, multimedia computing, social media, and computer vision. Prof. Bao is a recipient of National Natural Science Foundation of China (NSFC) for Distinguished Young Scholars. She was a recipient of the 2016 ACM TOMM Nicolas D. Georganas Best Paper Award, IEEE Multimedia 2017 Best Paper Award, the Best Paper Award from ICIMCS’09, and the MMM’2019 Best Paper Runner-Up Award. She has been the Principal Investigator (PI) of several significant research projects, including the National Key Research and Development Program of China and the Key Program of NSFC. She received the Outstanding Area Chair from ICME 2020. She serves as the Associate Editor of IEEE Transactions on Multimedia, IEEE Transactions on Circuits and Systems for Video Technology, ACM Transactions on Multimedia Computing, Communications and Applications, and Multimedia Systems journal.

IEEE Trans. on Multimedia   Associate Editor

IEEE Trans. on Circuits and Systems for Video Technology    Associate Editor

ACM Trans. on Multimedia Computing, Communications and Applications  Associate Editor

Multimedia Systems              Associate Editor

IEEE Multimedia Systems and Applications Technical Committee     Member

ACM MM                                Area Chair

ICIG 2023                             Organizing Committee Chair

MM Asia 2023                     Demo Chair

MMM 2020                           Publicity Chair

MMM 2019/2020                Special Session Organizer

ICMR 2020                          Special Session Organizer

ACM MM Asia 2020            Special Session Chair

ACM MM Asia 2019           Publication Chair

ICME 2020                          Area Chair

ICME 2019                          Workshop Organizer

ICIMCS 2018                      Publication Chair

1.      National Natural Science Foundation of China for Distinguished Young Scholars: Mutual Generation across Vision and Language, 2024.01-2028.12, PI

2.      National Key Research and Development Program of China: Scientific and Technological Innovation 2030 - “New Generation Artificial Intelligence” Major Project, Research on Basic Theory and Methodology of Cognitive Computing, 2020.11-2023.10, PI

3.      Key Program of National Natural Science Foundation of China: In-depth Analysis and Decision-making on Cross-modal Social Media, 2020.01-2024.12, PI

4.      Jiangsu Provincial Key Research and Development Program: Research and Development of Large Decision-making Models and General Platform Based on Ascend Full-stack Technology - Efficient Learning Methods for Large Decision-making Models, 2023.07-2027.06, Project PI

5.      General Program of National Natural Science Foundation of China: Cross-modal Knowledge Construction, Evolution and Reasoning for Social Events, 2019.01-2022.12, PI

6.      General Program of National Natural Science Foundation of China: Analysis and Processing of Internet Big Data of Geographical Location for Tourism, 2016.01-2019.12, PI

7.      Natural Science Foundation of Jiangsu Province for Distinguished Young Scholars: Multimedia Data Perception and Analysis, 2021.01-2023.12, PI

8.      General Program of Natural Science Foundation of Beijing: Social Event Perception, Analysis and Processing for Social Networks, 2015-2017, PI (Selected as Outstanding Research Output)

[1] Bing-Kun Bao*, Yefei Sheng, Jie Wang, Yaning Li, Sisi You. InstantPainting: Expanding GANs for Efficient Text Conditioned lmage Generation Platform. AAAI Conference on Artificial Intelligence, 2025. (AAAI'25)

[2] Penghang Yu, Zhiyi Tan, Guanming Lu, Bing-Kun Bao*. Mind Individual Information! Principal Graph Learning for Multimedia Recommendation. AAAI Conference on Artificial Intelligence, 2025. 【ORAL】 (AAAI'25)

Code：https://github.com/NJUPT-MCC/PGL

[3] Tianshan Liu, Kin-Man Lam, Bing-Kun Bao*. Injecting Text Clues for Improving Anomalous Event Detection from Weakly Labeled Videos. IEEE Transactions on Image Processing, 2024. (IEEE TIP'24)

[4] Tianshan Liu, Kin-Man Lam, Bing-Kun Bao*. A Memory-Assisted Knowledge Transferring Framework with Curriculum Anticipation for Weakly Supervised Online Activity Detection. International Journal of Computer Vision, 2024. (IJCV'24)

[5] Ming Tao, Bing-Kun Bao*, Hao Tang, Yaowei Wang, Changsheng Xu. CoIn: A Lightweight and Effective Framework for Story Visualization and Continuation. ACM Multimedia, 2024. (ACM MM'24)

Code：https://github.com/NJUPT-MCC/CoIn

[6] Tianshan Liu, Kin-Man Lam, Bing-Kun Bao*. Label Text-aided Hierarchical Semantics Mining for Panoramic Activity Recognition. ACM Multimedia, 2024. (ACM MM'24)

[7] Yifan Jiao, Hantao Yao,  Bing-Kun Bao,  and Changsheng Xu*. Source-guided Target Feature Reconstruction for Cross-domain Classification and Detection. IEEE Transactions on Image Processing, 2024. (IEEE TIP'24)

[8] Penghang Yu, Zhiyi Tan, Guanming Lu, Bing-Kun Bao*. Multi-View Graph Convolutional Network for Multimedia Recommendation. ACM Multimedia, 2023.  (ACM MM'23)

Code：https://github.com/NJUPT-MCC/MGCN

[9] Bowen Yuan, Sisi You, Bing-Kun Bao*. Self-PT: Adaptive Self-Prompt Tuning for Low-Resource Visual Question Answering. ACM Multimedia, 2023. (ACM MM'23)

Code：https://github.com/NJUPT-MCC/Self-PT

[10] 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. (CVPR'23)

Code：https://github.com/NJUPT-MCC/GALIP

[11] 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. (CVPR'23)

[12] 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. (AAAI'23)

Code：https://github.com/NJUPT-MCC/DE-Net

[13] 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】 (CVPR'22)

Code：https://github.com/NJUPT-MCC/DF-GAN

[14] Jianyu Wang, Bingkun Bao*, and Changsheng Xu: DualVGR: A Dual-Visual Graph Reasoning Unit for Video Question Answering. IEEE Transactions on Multimedia, 2021.  (IEEE TMM'21)

Code：https://github.com/NJUPT-MCC/DualVGR-VideoQA