Chinese version
个人简介
陈谊：博士，教授，博士生导师，食品安全大数据技术北京市重点实验室主任。
研究方向：可视化与可视分析、数据挖掘与机器学习、食品安全大数据分析
主讲课程：计算机网络（本科生）、信息可视化（研究生）、专业英语论文写作（研究生）
学术兼职：中国图象图形学学会可视化与可视分析专委会副主任、北京图象图形学学会常务理事、中国计算机学会（CCF）杰出会员、CCF虚拟现实与可视化专业委员会委员
联系方式：邮箱, chenyi@th.btbu.edu.cn; 电话，010-68985525
教学科研经历
2003.11- 至今 北京工商大学，计算机科学与技术学科教授
2015.05- 至今 食品安全大数据技术北京市重点实验室主任
2015.05-2022.05 CCF北京工商大学学生分会指导委员会主任
2004.05-2016.04 计算机科学与技术学科带头人
2005.09-2006.09 美国伊利诺依大学（UIC）电子可视化实验室（EVL）访问学者
1996.09-2002.09 北京理工大学计算机科学与工程系，工学硕士、博士研究生
1985.07-2003.10 北京工商大学计算机系讲师、副教授
主要学术成果
先后主持国家自然科学基金“十二五”、“十三五”、“十四五”国家重点研发课题和任务、北京市科技计划项目等多项科研课题。以第一或通讯作者在The Visual Computer（TVC）、Journal of Visualization（JOV）、Journal of Visual Languages and Computing（JVLC）、软件学报、计算机辅助设计与图形学学报等国内外学术期刊和会议上发表论文100余篇，其中SCI/EI收录40篇；以第一发明人获授权国家发明专利30项，登记软件著作权6项；2016年获中国分析测试协会科学技术奖（CAIA奖）特等奖，2017年获中国石油和化工科技进步二等奖；多次担任PacificVis、ChinaVis、ChinaVR、ChinaLDVA国际国内著名可视化学术会议程序委员会委员和审稿人。
科研项目
1、“十四五”国家重点研发课题，2022—2026
2、国家自然科学基金面上项目，2020—2023
3、“十三五”国家重点研发项目子课题，2019—2021
4、国家科技基础性工作专项课题（2015FY111200），2015—2019
5、北京市科技计划项目，2015—2016
6、“十二五”国家科技支撑计划项目子课题，2012-2015
获奖情况
2022年获2017-2021年度北京市高校优秀德育工作者
2020年获北京工商大学2020年度优秀教师
2019年获北京工商大学十佳班主任称号
2018年获北京工商大学优秀研究生导师称号
2017年获中国石油和化工科技进步二等奖
2016年获中国分析测试协会科学技术奖（CAIA奖）特等奖
2016年指导学生在第五届“中国软件杯”大学生软件设计大赛中荣获一等奖，本人获优秀指导老师称号；
2004年荣获北京工商大学优秀教师称号；
授权专利
代表性论文
[1]. Yi Chen, Caixia Wu, Qinghui Zhang, Di Wu. Review of visual analytics methods for food safety risks. npj Science of Food (2023) 7:49:1-14; 2023.9. https://doi.org/10.1038/s41538-023-00226-x.（SCI）
[2]. Yi Chen, Hanqiang Li, Haifeng Dou, Hong Wen, Yu Dong. Prediction and Visual Analysis of Food Safety Risk Based on TabNet-GRA. Foods 2023; 12(16): 3113: 1-18. https://doi.org/10.3390/foods12163113. （SCI）
[3]. Yi Chen, Yandi Guo, Qiuxu Fan, Qinghui Zhang, and Yu Dong. Health-Aware Food Recommendation Based on Knowledge Graph and Multi-Task Learning. 2023; 12(10): 2079: 1-22. https://doi.org/10.3390/foods12102079. （SCI）
[4]. Caixia Wu, Yi Chen, Yu Dong, Fangfang Zhou, Ying Zhao, Christy Jie Liang. VizOPTICS: Getting insights into OPTICS via interactive visual analysis. Computers & Electrical Engineering. 2023, 107 (2023) 108624: 1-15. https://doi.org/10.1016/j.compeleceng.2023.108624.
[5]. Zhiying Luo, Yi Chen, Hanqiang Li, Yue Li, Yandi Guo. TreeMerge: A Visual Comparative Analysis Method for Food Classification Tree in Pesticide Residue Maximum Limit Standards. Agronomy. 2022, 12(12) 3148: 1-22. DEC. 2022. https://doi.org/10.3390/agronomy12123148
[6]. Chen Yi*, Zhang Qinghui, Guan Zeli, Zhao Ying, Chen Wei. GEMvis: a visual analysis method for the comparison and refinement of graph embedding models. The VISUAL COMPUTER（2022）38(9-10): 3449-3462. Sept. 2022. https://doi.org/10.1007/s00371-022-02548-5（SCI）
[7]. Yi Chen, Haifeng Dou, Qiaoying Chang, Chunlin Fan. PRIAS: An Intelligent Analysis System for Pesticide Residue De tection Data and Its Application in Food Safety Supervision. Foods. 2022, 11(6):780:1-15. Mar. 2022. https://doi.org/10.3390/foods11060780（SCI）
[8]. Yi CHEN, Cheng LV, Yue LI, Wei CHEN, Kwan-Liu MA. Ordered matrix representation supporting the visual analysis of associated data. Science China Information Sciences, 2020, 63(8) 184101:1–3, August 2020. https://doi.org/10.1007/s11432-019-2647-3 (SCI)
[9]. Yi Chen*, Zeli Guan, Rong Zhang, Xiaomin Du and Yunhai Wang. A Survey on Visualization Approaches for Exploring Association Relationships in Graph Data. Journal of Visualization (JOV). Vol.22 No.3:625-639. 2019.6. https://doi.org/10.1007/s12650-019-00551-y ( SCI )
[10]. Yi Chen, Yu Dong, Yuehong Sun, Jie Liang. A Multi-comparable Visual Analytic Approach for Complex Hierarchical Data. Journal of Visual Languages and Computing (JVLC): 47 (2018) 19–30. 2018.8. https://doi.org/10.1016/j.jvlc.2018.02.003 (SCI)
[11]. 陈谊，张聪. 一种基于维度投影的多维数据相关性可视分析方法. 计算机辅助设计与图形学学报. Vol.33 No.4: 592-601. 2018.4 (EI)
[12]. 杜晓敏，陈谊*，李玥. TransGraph: 一种基于变换的可视分析关联图. 计算机辅助设计与图形学学报. Vol.30 No.1: 79-89. 2018.1 (EI)
[13]. Yi Chen, Xiaomin Du, Xiaoru Yuan. Ordered Small Multiple Treemaps for Visualizing Time-Varying Hierarchical Pesticide Residue Data. The Visual Computer. 33(6-8):1073-1084. 2017.6 (SCI, EI)
[14]. Chen Yi, Zhang Xinyue, Feng Yuchao, Liang Jie, Chen Hongqian. Sunburst with Ordered Nodes based on Hierarchical Clustering: A Visual Analyzing Method for Associated Hierarchical Pesticide Residue Data [J]. Journal of Visualization. Volume 18, Number 2. J Vis (2015) 18:237-254. May. 2015 （SCI）
[15]. 陈谊，甄远刚，胡海云，粱婕，Kwan-Liu Ma. 一种层次结构中多维属性的可视化方法[J]. 软件学报. 2016, 27(5):1091-1102. 2016年5月 (EI)
[16]. 陈谊，刘莹，田帅，范春林，孙悦红. 食品安全大数据可视分析方法研究. 计算机辅助设计与图形学学报. Vol.29 No.1: 8-16. 2017.1 (EI)
English version
Professor Yi CHEN: Ph.D. and Professor in Computer Science, Ph.D. Graduate Supervisor, Director of Beijing Key Laboratory of Big Data Technology for Food Safety
Research Interests:
Visualization and Visual Analytics, Data Mining and Machine Learning, Big Data Technology for Food Safety
Contact：
Email: chenyi@th.btbu.edu.cn
Teaching Courses:
Computer Network(for undergraduates), Information Visualization (for postgraduates)、English Writing for Computer Science and Technology（for postgraduates）
Education:
Ph.D. in Computer Science, Beijing Institute of Technology
Master in Computer Science, Beijing Institute of Technology
Bachelor in Automation, Beijing Technology and Business University
Experiences Abroad: Visiting scholar in University of Illinois at Chicago, USA, 2005.9-2006.9
Memberships in Academic organizations:
Vice-Chairman of Technical Committee of CSIG VIS (Visualization and Visual Analytics)
Distinguished Member of CCF (China Computer Federation)
Member of Technical Committee of CCF TCVRV (Virtual Reality and Visualization Technology)
Research Projects/Funding:
1、National key research and development program of China. 2023-2026
2、The National Natural Science Foundation of China，2020-2023
3、National key research and development program of China. 2019-2021
4、National Science and Technology Basis Project: The Investigation into the Pesticide Residues Level in the Fruits and Vegetables and the Database Construction (Project No. 2015FY111200), Sub-project: Pesticide Chemical Pollutants Detection Platform Construction, 2015–2019.
5、Beijing Science and Technology Planning Project of the Research on the Pesticide Residues Data Acquisition in Food and Intelligent Analysis Methods, 2015 – 2016.
6、The "12th Five-Year" National Science and Technology Support Project in year 2012 for the Research on the Pesticide Residues Detection Data Collection and Intelligent Analysis Methods and System Implementation (Project No. 2012BAD29B01-2),2012-2015
Awards：
1、 Science and Technology Award granted by China Association for Instrumental Analysis, CAIA Award, The top level award in 2016. 2016.11
2、In the fifth “Chinese Software Cup” software Design Competition for College Students, working as the instructor of the students who won the first prize, and won the Excellent Guide Teacher Award, 2016;
3、Awarded title of “Top 10 researchers in science and engineering in terms of the total research score, Beijing Technology and Business University” in 2012;
4、Awarded title of “Top 10 researchers in science and engineering in terms of the total research score, Beijing Technology and Business University” in 2009;
5、Awarded the title of Outstanding Teachers of Beijing Technology and Business University in 2004;
6、Participated in the National Defense Pre-research Project, which won the first prize of National Defense Science and Technology Progress Award in 2008, and the second prize in 2009.
Brief Introduction of the Publications:
More than 100 papers have been published, over 50 articles are included in SCI/EI, three books are translated, 30 national invention patents are authorized or public, and 6 software copyrights are obtained.
Publications (Selected):
[1] Yi Chen, Caixia Wu, Qinghui Zhang, Di Wu. Review of visual analytics methods for food safety risks. npj Science of Food (2023) 7:49:1-14; 2023.9. https://doi.org/10.1038/s41538-023-00226-x.（SCI）
[2] Yi Chen, Hanqiang Li, Haifeng Dou, Hong Wen, Yu Dong. Prediction and Visual Analysis of Food Safety Risk Based on TabNet-GRA. Foods 2023; 12(16): 3113: 1-18. https://doi.org/10.3390/foods12163113. （SCI）
[3] Yi Chen, Yandi Guo, Qiuxu Fan, Qinghui Zhang, and Yu Dong. Health-Aware Food Recommendation Based on Knowledge Graph and Multi-Task Learning. 2023; 12(10): 2079: 1-22. https://doi.org/10.3390/foods12102079. （SCI）
[4] Caixia Wu, Yi Chen, Yu Dong, Fangfang Zhou, Ying Zhao, Christy Jie Liang. VizOPTICS: Getting insights into OPTICS via interactive visual analysis. Computers & Electrical Engineering. 2023, 107 (2023) 108624: 1-15. https://doi.org/10.1016/j.compeleceng.2023.108624.
[5] Zhiying Luo, Yi Chen, Hanqiang Li, Yue Li, Yandi Guo. TreeMerge: A Visual Comparative Analysis Method for Food Classification Tree in Pesticide Residue Maximum Limit Standards. Agronomy. 2022, 12(12) 3148: 1-22. DEC. 2022. https://doi.org/10.3390/agronomy12123148
[6] Chen Yi*, Zhang Qinghui, Guan Zeli, Zhao Ying, Chen Wei. GEMvis: a visual analysis method for the comparison and refinement of graph embedding models. The VISUAL COMPUTER（2022）38(9-10): 3449-3462. Sept. 2022（SCI）
[7] Yi Chen, Haifeng Dou, Qiaoying Chang, Chunlin Fan. PRIAS: An Intelligent Analysis System for Pesticide Residue De tection Data and Its Application in Food Safety Supervision. Foods. 2022, 11(6):780:1-15. Mar. 2022（SCI）
[8] Yi CHEN, Cheng LV, Yue LI, Wei CHEN, Kwan-Liu MA. Ordered matrix representation supporting the visual analysis of associated data. Science China Information Sciences, 2020, 63(8) 184101:1–3, August 2020. https://doi.org/10.1007/s11432-019-2647-3 (SCI)
[9] Yi Chen*, Zeli Guan, Rong Zhang, Xiaomin Du and Yunhai Wang. A Survey on Visualization Approaches for Exploring Association Relationships in Graph Data. Journal of Visualization (JOV). Vol.22 No.3:625-639. 2019.6 (SCI：WOS:000468457800013，JA)
[10] Yi Chen, Yu Dong, Yuehong Sun, Jie Liang. A Multi-comparable Visual Analytic Approach for Complex Hierarchical Data. Journal of Visual Languages and Computing (JVLC): 47 (2018) 19–30 (SCI: WOS:000440124900003) 2018.8
[11] Chen Yi and Zhang Cong. Visual Analysis of Correlation in Multidimensional Data Based on Dimension Projection Technique. Journal of Computer-Aided .Design & Computer Graphics. Vol.33 No.4: 592-601. 2018.4 (EI: 20183505744867)
[12] Du Xiaomin, Chen Yi*, and Li Yue. TransGraph: A Transformation-based Graph for Analyzing Relations in Data Set. Journal of Computer-Aided Design & Computer Graphics. Vol.30 No.1: 79-89. 2018.1 (EI: 20182005202016)
[13] Yi Chen, Xiaomin Du, Xiaoru Yuan. Ordered Small Multiple Treemaps for Visualizing Time-Varying Hierarchical Pesticide Residue Data. The Visual Computer. 33(6-8):1073-1084. 2017.6 (SCI: 000402964800036, EI: 20171903657446)
[14] Chen Yi, Zhang Xinyue, Feng Yuchao, Liang Jie, Chen Hongqian. Sunburst with Ordered Nodes based on Hierarchical Clustering: A Visual Analyzing Method for Associated Hierarchical Pesticide Residue Data [J]. Journal of Visualization. Volume 18, Number 2. J Vis (2015) 18:237-254. May. 2015 （SCI, WOS:000353409400009）
[15] CHEN Yi, ZHEN Yuan-Gang, HU Hai-Yun, LIANG Jie, Kwan-Liu MA. Visualization Technique for Multi-Attrbute in Hierarchical Structure. Journal of Software, Vol.27, No.5, 1091-1102.2016.(EI)
[16] Yi Chen, Ying Liu, Shuai Tian, et al. A Survey of Visual Analytical Techniques for Big Data in Food Safety Field [J]. Journal of Computer-Aided Design & Computer Graphics: Vol.29 No.1: 8-16. 2017.1 (EI Index No.：20171403532126)