Personal Profile

Dan Guo, earned a Ph.D. degree (2010.06) from Huazhong University of Science and Technology, Wuhan, China. She then joined Hefei University of Technology in July 2010, initially as a postdoctoral researcher in data mining and she is currently a professor and PhD supervisor in the Laboratory of Media Computing. Her current main research include: computer vision, machine learning, deep learning, and pattern recognition. She has led various projects, such as National Natural Science Foundation of China - General Program (Principal Investigator), National Key Research and Development Program of China (Sub-Project Principal Investigator),  National Natural Science Foundation of China - Key Program (Sub-Project Principal Investigator), Natural Science Foundation of Anhui Province - General Program (Principal Investigator), Postdoctoral Foundation of Hefei University of Technology - General Program (Principal Investigator), etc. She also participated in National Key Research and Development Program of China, National Natural Science Foundation of China - Key Program, and National Natural Science Foundation of China - Joint Program.

Academic Experience

Academic Member

· IEEE Senior Member, CCF Senior Member, ACM Member, AAAI Member，CSIG Senior Member；

· Deputy Secretary-General of CSIG Multimedia Professional Committee;

· Chairman of Computer Vision Committee of Anhui Association of Artificial Intelligence, Director of Anhui Artificial Intelligence Society;

· Secretary General of the Female Professors Association of Hefei University of Technology.

Journal Reviewer

· CCF-A: International Journal of Computer Vision (IJCV)，IEEE Transactions on Image Processing (TIP)，IEEE Transactions on Knowledge and Data Engineering (TKDE), ACM Transactions on Information Systems (TOIS), Science China Information Sciences (SCIS).

· CCF-A Chinese Journal: Chinese Journal of Computers,  Journal of Software, Acta Automatica Sinica.

· Other ACM/IEEE Transactions: IEEE Transactions on Multimedia (TMM)，IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)，IEEE Transactions on Neural Networks and Learning Systems (TNNLS)，IEEE Transactions on Cybernetics (TCYB), ACM Transactions on Multimedia Computing Communications and Applications (TOMM).

Conference Reviewer/PC Member

·  CCF-A: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), International Conference on Computer Vision (ICCV), Conference on Neural Information Processing Systems (NeurIPS),  AAAI Conference on Artificial Intelligence (AAAI), ACM International Conference on Multimedia (ACM MM), European Conference on Computer Vision (ECCV); ACM International Conference on Multimedia (ACM MM) Area Chair; International Joint Conference on Artificial Intelligence (IJCAI) Senior Program Committee (SPC) Member.

Executive Guest Editor

· In 2023, proposed and served as the executive guest editor for a special issue of “Deep Learning for Robust Human Body Language Understanding" on the ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM) journal.

· In 2023, proposed and served as the executive guest editor for a special issue of "Trustworthy Cross-Modal Reasoning for Video-Language Understanding" on the Computer Vision and Image Understanding (CVIU) journal.

Talk

· In Honor of Outstanding Academic Performance in Artificial Intelligence, I had been invited as a speaker of 2021 International Joint Conference on Artificial Intelligence (IJCAI)-SAA Young Elite Symposium.

CALL FOR PAPERS

   1.  ACM TOMM. 

    Special issue of ACM TOMM on "Deep Learning for Robust Human Body Language Understanding". For more information, please see https://mc.manuscriptcentral.com/tomm，orBodyLanguage.pdf

   2.  CVIU( Computer Vision and Image Understanding). 

          Special Issue Proposal on "Trustworthy Cross-Modal Reasoning for Video-Language Understanding".  For more information, please see  https://www2.cloud.editorialmanager.com/cviu/default2.aspx，or [SI-Proposal] .pdf

Other Contacts 📨

• EMail：guodan@hfut.edu.cn

• Webpage of Our VUT：https://vut-hfut.github.io/ 

• Welcome partners with the same professional interests to join together!