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, Senior Member of CCF, Senior Member of CSIG;

·  Deputy Secretary-General, Multimedia Technical Committee of CSIG;

·  Executive Deputy Director, Anhui Key Laboratory of Affective Computing and Advanced Intelligent Machines;

·  Council Member of Anhui Association for Artificial Intelligence;

·  Chair of Computer Vision Technical Committee, Anhui Association for Artificial Intelligence.

International Conference AC/SPC/PC & Academic Journal AE/Reviewer

·  CCF-A Conferences: CVPR (AC) / NeurIPS / ICLR / AAAI / ACM MM (AC) / IJCAI (SPC), etc.

·  CCF-A Journals: IJCV / IEEE TIP / IEEE TKDE / IEEE TMM (AE) / ACM TOIS / SCIS, etc.

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

·  Other ACM/IEEE Transactions Journals: ACM TOMM (AE) / IEEE TCSVT / IEEE TNNLS / IEEE TAC / IEEE TSMC / IEEE TCYB / IEEE TBD / IEEE TCSS, etc.

·  Other Conferences & Journals: PR (AE) / EAAI (AE) / CVIU (Guest AE), etc.; ECCV / ICME (AC) / CIKM / ICASSP / MMM / ACCV / ICDM, etc.

CALL FOR PAPERS

1.  ACM TOMM,  Executive Guest Editor

      Special issue of ACM TOMM on "Deep Learning for Robust Human Body Language Understanding",  March 15, 2024. For more information, please see https://mc.manuscriptcentral.com/tomm，orCFP-SI-Deep-Learning-Robust-Human-Body-Language-Understanding.pdf

   2.  CVIU,  Executive Guest Editor 

      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

   3.  CJIG, Executive Guest Editor  

      Special Issue Proposal on "Subtle Visual Computing"".  For more information, please see  https://www2.cloud.editorialmanager.com/cviu/default2.aspx，or [SI-Proposal] .pdf

CALL FOR CHALLENGES:

1.MAC 2024: ACM Multimedia 2024 Micro-Action Analysis Challenge，Challenge Initiator

    The 1st MAC Challenge was successfully held at ACM MM 2024, attracting more than 40 teams worldwide.

    The goal of MAC (Micro-Action Analysis Challenge) is to advance human behavior understanding through full-body micro-actions, promoting the development of deep psychological assessment and human emotional state analysis technologies. MAC includes two tracks: Micro-Action Recognition (MAR) track 和 Multi-label Micro-Action Detection (MMAD) track. 

    For more details, please visit: https://sites.google.com/view/micro-action  | ACM Multimedia 2024 Micro-Action Analysis Challenge.jpg

2. Welcome to the 2nd MAC 2025: ACM Multimedia 2025Micro-Action Analysis Challenge!    

 For more details, please visit: https://sites.google.com/view/micro-action

3. SVC 2026: CVPR 2026 Subtle Visual Computing Challenge, Challenge Organizer

    The 2nd SVC (Subtle Visual Computing) Challenge was successfully held at CVPR 2026, attracting over 140 teams globally.

    SVC aims to bring together researchers worldwide to address key challenges in subtle visual signal detection and analysis, including difficulties in representation learning and insufficient generalization ability across tasks and modalities. It promotes real-world applications in security, healthcare, industry, affective computing, and related fields.SVC consists of two tracks:

    ·  2nd MultiModal Deception Detection (MMDD) Challenge

    ·  1st Domain Generalized Remote Physiological Measurement (PhysDG) Challenge

    For more details, visit: https://sites.google.com/view/svc-cvpr26

Other Contacts 📨

• EMail：guodan@hfut.edu.cn

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