Keynote Speakers


Prof. Ran He, IEEE Fellow(2025), IAPR Fellow
Center for Research on Intelligent Perception and Computing
National Laboratory of Pattern Recognition
Institute of Automation, Chinese Academy of Sciences
University of Chinese Academy of Sciences


Ran He received his bachelor's degree (2001) and his master's degree (2004) from the School of Computer Science and Technology, Dalian University of Technology (DUT). After that, he was a Ph.D. candidate in the Institute of Automation, Chinese Academy of Sciences (CASIA), where he received his Ph.D. degree in 2009. He is now a full Professor in the National Laboratory of Pattern Recognition (NLPR, CASIA) and University of Chinese Academy of Sciences. He is leading a "2035 Innovation Team" of AI research in CASIA.He is interested in algorithms for biometrics (face recognition and synthesis, iris recognition, person re-identification), representation learning (pre-training networks using weak/self supervision, or transfer learning), generative learning (generative models, image generation, image translation). His work explores topics in machine/deep learning and computer vision.He has published more than 200 papers in international journals and conferences, including reputable international journals such as IEEE TPAMI, IEEE TIP, IEEE TIFS, IEEE TNN, IEEE TCSVT, and top level international conferences like CVPR, ICCV, ECCV, NeurIPS. He is serving as the Editor board member of IEEE TIP, IEEE TIFS, IEEE TCSVT, IEEE TBIOM, and Pattern Recognition. He has served as the Area Chair of international conferences like CVPR, ECCV, NeurIPS, ICML, LCPR, ICPR and IJCAI. He is the Fellow of IAPR (2021), and the Fellow of IEEE (2025).His research was supported by "Beijing Science Fund for Distinguished Young Scholars" (2018) and "NSFC for Excellent Young Scientist Programme" (2016). His research has won the " CSIG first-class Natural Science Award " (2021), "Beijing second-class Science and Technology Award" and "CAAI second-class Science and Technology Innovation Award" (2015).

赫然 研究员 博导 中国科学院自动化所

国庆70周年阅兵观礼嘉宾
国家青年科学基金ABC类
中国科学院优秀导师
国科大优秀本科生指导教师
中国计算机学会(CCF)理事
中国图象图形学学会(CSIG)理事
IEEE/IAPR Fellow
Vice President for IEEE Biometrics
Vice Chair of IEEE IFS-TC
Deputy Editors-in-Chief for TIFS
Associate EiC for IEEE TBIOM
TPAMI/TIP/TCSVT/TBIOM/IJCV编委

赫然,研究员,IAPR Fellow。主要研究方向是模式识别、生成式人工智能和计算机视觉,并应用到异质图像合成与识别、深度伪造与鉴别。获国家优秀青年科学基金、北京杰出青年科学基金、国家自然联合重点基金、国家重点研发课题和中科院青年促进会优秀会员等项目支持。出版学术专著2部,在权威国际期刊IEEE TPAMI和IJCV上发表论文23篇,第一作者谷歌学术引用过百论文11篇。获IEEE信号处理协会最佳青年论文奖、ICPR最佳科学论文奖、ICB最佳论文提名奖和北京青年优秀科技论文一等奖,以及中国科学院优秀导师(2023/2024)、李佩优秀讲师奖、朱李月华优秀教师奖、中国科学院大学领雁奖等;指导学生获得IEEE生物特征理事会优秀博士论文、北京市优秀博士论文、中国科学院优秀博士论文等。担任IEEE TIP/TIFS/TCSVT/TBIOM、Pattern Recognition和自动化学报等多个国内外期刊编委,NeurIPS/ICML/ICLR/CVPR/ECCV等会议领域主席,ACPR/PRCV/CCBR等会议程序主席。


Prof. Tao Xie
Fellow of ACM, IEEE, AAAS, Chinese Institute of Electronics (CIE), and China Computer Federation (CCF)
Peking University, China

Tao Xie is a Peking University Chair Professor, Chair of the Department of Software Science and Engineering in the School of Computer Science at Peking University, Dean of Fudan University Institute of Systems for Advanced Computing (FiSAC), Chairman and Director of Beijing Tongming Lake Information Technology Application Innovation Center (TongmingLAIC), Dean of Shanghai Institute of Systems for Open Computing (iSOC), Secretary General of Shanghai Open Processor Innovation Center (SOPIC), and Chief Scientist of Beijing Institute of Open Source Chip. He was a Full Professor at the Department of Computer Science, the University of Illinois at Urbana-Champaign (UIUC), USA. He is a Foreign Member of Academia Europaea, and a Fellow of ACM, IEEE, AAAS, Chinese Institute of Electronics (CIE), and China Computer Federation (CCF). He won an Xplorer Prize, NSFC Overseas Distinguished Young Scholar Award, etc. He serves as Director of CCF Technical Committee of System Software (TCSS) and RISC-V International AI/ML SIG Chair. His main research interests include software engineering, system software, software security, trustworthy AI, RISC-V software ecosystem.

谢涛,北京大学讲席教授,北京大学计算机学院软件科学与工程系主任,复旦大学先进计算系统研究院院长,北京通明湖信息技术应用创新中心理事长、主任,上海开放计算系统研究院院长,上海开放处理器产业创新中心秘书长,北京开源芯片研究院首席科学家,国家高等学校学科创新引智基地负责人。曾任美国伊利诺伊大学香槟分校(UIUC)计算机系正教授。当选欧洲科学院外籍院士、ACM/IEEE/AAAS会士、中国电子学会会士、中国计算机学会会士,曾获科学探索奖、国家海外杰青等。担任中国计算机学会系统软件专委会主任,RISC-V国际基金会人工智能与机器学习专委会(AI/ML SIG)主席等。主持国家自然科学基金重大研究计划集成项目、海外及港澳学者合作研究基金及其延续资助项目(海外杰青),国家外国专家项目(“111学科创新引智基地”),国家实验室先导项目,北京市高精尖产业发展资金重大项目等。主要研究领域包括软件工程,系统软件,软件安全,可信人工智能,RISC-V基础软件。


 

顾锞教授
北京工业大学
国家优秀青年科学基金项目获得者

Gu Ke, Professor and Doctoral Supervisor at the School of Information Science and Technology, Beijing University of Technology, is a gainer of the National Science Fund for Excellent Young Scholars and serves as the Associate Director of the Engineering Research Center of Intelligence Perception and Autonomous Control of Ministry of Education. He also holds the position of Deputy Secretary-General of the Education Work Committee of the Chinese Association for Artificial Intelligence (CAAI). In research, he has long been engaged in industrial pollution monitoring, image and video processing, and related fields. He has published more than 110 SCI papers (including 28 first-author papers, 14 corresponding-author papers and 20 ESI hot/highly cited papers), obtained 17 granted national invention patents, received the Best Paper Award in IEEE Transactions on Multimedia in 2018 (as the first author), the Best Paper Candidate Award in IEEE Transactions on Multimedia in 2021 (as the second author), the CAAI Artificial Intelligent Excellent Young Scientist Award in 2020, been selected as the highly cited researcher by Clarivate Analytics in the years of 2020, 2021, and 2025, the most cited Chinese researcher by Elsevier in the years of 2020, 2021, 2022, 2023, and 2024, and been awarded the National Science Fund for Excellent Young Scholars in 2023, the Beijing Natural Science Foundation Outstanding Youth Science Foundation in 2021, the Beijing Haiju Engineering Youth Talent Project in 2018, the Young Elite Scientists Sponsorship Program by the China Association for Science and Technology and the Beijing High tech Innovation Plan Youth Top Talents Project in 2017, etc.

顾锞,北京工业大学信息科学技术学院教授、博士生导师,国家优秀青年科学基金项目获得者、智能感知与自主控制教育部工程研究中心副主任、中国人工智能学会教育工作委员副秘书长。

在科研方面,他长期从事图像视频处理、工业污染监控等方面研究,发表IEEE汇刊论文70余篇,出版专著3部,入选科睿唯安全球高被引科学家、爱思唯尔中国高被引学者、国家优青人才、北京市杰青人才、中国科协青托人才等,获得国际多媒体领域顶刊IEEE T-MM年度唯一最佳论文奖(2018)和最佳论文提名奖(2021)、中国人工智能学会吴文俊人工智能优秀青年奖、中国电子学会优秀博士学位论文优秀奖、中国电子学会自然科学一等奖、北京市技术发明二等奖、中国图象图形学学会技术发明二等奖等,主持国家自然科学基金项目4项、工信部专项课题1项等,担任7个国际重要SCI期刊编委、20余个著名SCI期刊审稿人,是中国电子学会、中国自动化学会、中国人工智能学会、中国计算机学会、中国图象图形学学会、中国仿真学会会员及下属多个专业委员会委员等。在教学方面,他指导学生获得北京市普通高校优秀本科毕业设计(论文)、北京自动化学会优秀研究生、“挑战杯”全国大学生课外学术科技作品竞赛黑科技赛道全国一等奖、“力诺瑞特杯”全国大学生节能减排社会实践与科技竞赛全国一等奖等。