Prof. Guoqing Wang, University of Electronic Science and Technology of China, China
王国庆 教授，电子科技大学
王国庆，现为电子科技大学计算机科学与工程学院教授、博导、国家青年人才。博士毕业于澳大利亚新南威尔士大学。研究方向为Embodied AI （AI+Robotics），是融合传感器感知、智能认知、计算机视觉、自然语言处理、机器学习、以及机器人系统的交叉领域。近年来在IJCV / IEEE TIP/ IEEE TIFS等中科院JCR一区TOP期刊和ICCV / ACM MM等CCF-A类国际会议共计发表学术论文50余篇，多项研究工作得到国内外科技网站报道。申请（含授权）国家发明专利5项，出版学术专著2部。曾获得院卓越科研奖、Australian Dean's Award for Outstanding PhD Theses、新南威尔士大学优秀学生、江苏省优秀硕士论文、江苏省优秀共青团员、CSIRO亮点论文等荣誉。主持/主研多项国家级和省部级科研项目，包括科技部科技创新2030-“新一代人工智能”重大项目、JWKJW重点项目、澳大利亚国家研发计划项目、国家自然基金青年项目、四川省重点研发计划项目等。多项研究成果作为核心技术方案应用于静脉显影仪、高安全身份认证设备、无人救援车辆等智能系统设计，相关产品应用于7个省份的包括医院、银行、学校等在内的30余家单位。担任Electronics、Frontiers in Signal Processing、Signals、电子科技大学学报等国际和国内知名期刊客座编委，担任国际会议SoCAV 2023程序委员会共同主席、担任ACM MM、ICME等顶级国际会议Session Chair，担任AAAI 2023的SPC，担任IEEE TPAMI、IJCV、IEEE TIP、IEEE TIFS、IEEE TMM等国际顶级期刊审稿人，担任CVPR、ICCV、ACM MM、AAAI、IJCAI等CCF-A类会议程序委员会（高级）委员。
Prof. Guoqing Wang received his Ph.D. degree in Jan 2021 from the University of New South Wales (UNSW). In April 2021, Dr. Wang joined School of Computer Science and Engineering, University of Electronic Science and Technology of China (UESTC) as a professor. He receives NSFC Excellent Young Scientists Fund (Overseas) in 2022. His current research interests include artificial intelligence and visual understanding, with special focus on designing intelligent visual systems operating in open world. He has authored over 50 top-tier papers in these areas over various venues including IJCV, IEEE TIP, IEEE TIFS, IEEE TMM, ICCV, ACM MM, etc. He served as the Program Chair of SoCAV 2023, Session Chair of ACM MM 2022 and ICME 2022, and SPC of AAAI 2023. He served as the reviewer of the IEEE TAMI, IEEE TIP, IEEE TIFS, IEEE TMM and IEEE TCSVT and regular (Senior) TPC of CVPR, ICCV, ECCV, ACM MM, AAAI, IJCAI and the guest editor of several international journals. He is a recipient of the Dean's Award for Outstanding PhD Theses（2021), UNSW/CSIRO Full Postgraduate Scholarships (2017-2021) and ICCV Student Travel Grant (2019). Prof. Wang hosts/participates numbers of national projects, including the Scientific Innovation 2030 Major Project for New Generation of AI, the National Natural Science Foundation of China, Australian National R&D project, etc.