姓名：贾熹滨
职称：教授
授课课程：数字系统设计
电子邮件：jiaxibin@bjut.edu.cn
Name：JIA Xibin
Title：Professor
Course：Digital System Design
Email：jiaxibin@bjut.edu.cn
个人简介：
1996年起在北京工业大学信息学部、都柏林国际学院从事科研教学工作。2015年、2009年分别在加州大学河滨分校、南澳弗林德斯大学进行为期1年和半年的访学。
Personal Profile：
JIA Xibin has engaged in lecturing and research jobs in Information faculty of technology and BDIC, in Beijing University of Technology since 1996. She was a one-year visiting scholar at University of California Riverside U.S. and a half-year visiting scholar at Flinders University Australia respectively.
教育背景：
1991年在重庆大学无线电技术专业获学士学位，1996年在中北大学测试与计量技术获硕士学位，2007年在北京工业大学计算机应用技术专业获博士学位。
Education Background：
She received her B.S. in Wireless technology from Chongqing University in 1991, and her M.S. in Measuring and Testing Technology and Instrument from North University of China in 1996, and her Ph.D. in Computer Application Technology from Beijing University of Technology in 2007.
任职情况：
目前担任北京工业大学教授，博导／硕导，目前是中国计算机学会会员、中国图像图形学学会员，CSIG机器视觉专委会、CSIG多媒体大数据专委会成员, 担任TIIS期刊编委
Position：
She is Professor, research supervisor of M.A. and Ph.D.in BJUT. She is Members of CCF, CSIG, CSIG-MV, CSIG- BVD. She is the editor of TIIS.
主要研究方向：
智能医疗影像、智慧教育、情感计算、行为认知计算、多模态融合、表示学习、迁移学习、小样本学习等。
Research direction：
Intelligent Medical Image, Intelligent education, Affection computing, Behavior Cognitive Computing, Multimodal fusion, Representation learning, Transferring learning, Few-shot learning.
在研课题：
国家自然科学基金面上项目：基于多参数磁共振深度表示学习及迁移学习的非酒精性脂肪肝病炎症、纤维化程度无创性评估研究，2019.1.1-2022.12.30，合作单位负责人；
北京市自然科学基金面上项目：大数据驱动的高校校园安全风险主动感知与早期预警计算方法研究，2020.1.1-2022.12.30，负责人；
Projects under research：
Grant from the National Natural Science Foundation of China: the research of noninvasive assessment of inflammation and fibrosis of non-alcoholic fatty liver disease based on deep representation learning and transfer learning of multi-parameter MRI, 2019.1.1-2022.12.30, Leader of cooperating group side.
Grant from the Beijing Natural Science Foundation: big data driven research on active perceiving and early prediction computing for campus safety, 2020.1.1-2022.12.30, Leader.
发表论文：
(1) Jia, Xibin; Jin, Ya; Su, Xing*; Hu, Yongli; Domain-invariant representation learning using an unsupervised domain adversarial adaptation deep neural network[J] , Neurocomputing, 2019, 355: 209-220.
(2) Xibin Jia; Xiaobo Li; Ya Jin; Jun Miao*; Region-Enhanced Multi-layer Extreme Learning Machine[J], Cognitive Computation, 2019, 11(1): 101-109.
(3) Jia, Xibin; Xiao, Yujie; Yang, Dawei; Yang, Zhenghan*; Lu, Chen; Multiparametric MRIs based assessment of Hepatocellular Carcinoma Differentiation with Multi-scale ResNet[J] , KSII Transactions on Internet and Information Systems, 2019, 13(10): 5179-5196.
(4) Xi-bin JIA; Ya JIN; Xing SU*; Barry CARDIFF; Bir BHANU; Words alignment based on association rules for cross-domain sentiment classification[J], Frontiers of Information Technology & Electronic Engineering, 2018, 19(2): 260-272.
(5) Jia, Xibin*; Wang, Runyuan; Liu, Junfa; Powers, David M. W.; A semi-supervised online sequential extreme learning machine method[J], Neurocomputing, 2016, 174: 168-178.
(6) Xibin Jia; Ya Jin; Junchen Cheng, Domain Alignment Based on Multi-Viewpoint Domain-Shared Feature for Cross- Domain Sentiment Classification[J], Jisuanji Yanjiu yu Fazhan/Computer Research and Development,2018, 55(11):2439-2451 In Chinese.
