Yu Zhang [email protected] | zhangyu94.github.io Education University of Oxford | Ph.D. student in Computer Science Oxford, UK Advisors: Prof. Min Chen and Prof. Bob Coecke Oct. 2017 – Present • Course Score: 89.5/100 Peking University | B.S. in Intelligence Science and Technology Beijing, China Advisor: Prof. Xiaoru Yuan Sep. 2013 – Jun. 2017 • GPA 3.69/4.0 (rank 2/35)
Research Experience
Oxford Visualization Group | Graduate Research Assistant Oxford, UK Advisors: Prof. Min Chen and Prof. Bob Coecke Oct. 2017 – Present • Developing an interactive machine learning system for visualization digitization • Developing a simulation-based approach to evaluate interaction costs in interactive classification interfaces [7, 4] • Developed a workflow for interactive classification tasks and a system for data reconstruction from historical visualizations [6] Microsoft Research Asia Software Analytics Group | Research Intern Beijing, China Advisor: Dr. Yun Wang Jan. 2021 – Present • Developing an interactive machine learning system for data labeling Statistics Netherlands | Research Intern (Marie Skłodowska-Curie Actions) Heerlen, The Netherlands Advisor: Dr. Tim de Jong Sep. 2019 – Oct. 2019 • Developed interactive classification interfaces for image datasets in the application of solar panel detection from aerial images [7] Peking University Visualization and Visual Analytics Group | Undergraduate Research Assistant Beijing, China Advisor: Prof. Xiaoru Yuan Jan. 2016 – Jul. 2017 • Developed tree visualization systems in a team [5, 2] • Developed a time series visualization system as a team leader [1]
Publications
Manuscript
[7] Using Simulation to Aid the Design and Optimization of Intelligent User Interfaces for Quality Assurance Processes in Machine Learning Yu Zhang, Martijn Tennekes, Tim de Jong, Lyana Curier, Bob Coecke, Min Chen arxiv: 2104.01129, 2021
Papers
[6] MI3: Machine-Initiated Intelligent Interaction for Interactive Classification and Data Reconstruction Yu Zhang, Bob Coecke, Min Chen ACM Transactions on Interactive Intelligent Systems, accepted
[5] BarcodeTree: Scalable Comparison of Multiple Hierarchies Guozheng Li, Yu Zhang, Yu Dong, Jie Liang, Jinson Zhang, Jinsong Wang, Michael MacGuffin, Xiaoru Yuan IEEE Transactions on Visualization and Computer Graphics, 2020
[4] On the Cost of Interactions in Interactive Visual Machine Learning Yu Zhang, Bob Coecke, Min Chen Proceedings of IEEE VIS Workshop on Evaluation of Interactive Visual Machine Learning Systems, 2019
[3] Interaction+: Interaction Enhancement for Web-based Visualizations Min Lu, Jie Liang, Yu Zhang, Guozheng Li, Siming Chen, Zongru Li, Xiaoru Yuan Proceedings of IEEE Pacific Visualization Symposium, 2017
Posters [2] SignalTreeExplorer: A Multi-Tree Comparison System for Visually Exploring Time Sequential Communication Data Guozheng Li, Yu Zhang, Jie Liang, Xiaoru Yuan Proceedings of IEEE Pacific Visualization Symposium, 2017
[1] STAD-HD: Spatial Temporal Anomaly Detection for Heterogeneous Data through Visual Analytics Yu Zhang, Guozheng Li, Chufan Lai, Qiangqiang Liu, Shuai Chen, Lu Feng, Tangzhi Ye, Siming Chen, Ren Zuo, Zhuo Zhang, Zhanyi Wang, Xin Huang, Fengchao Xu, Li Yu, Shunlong Zhang, Qiusheng Li, Xiaoru Yuan Proceedings of IEEE Conference on Visual Analytics Science and Technology, 2016
Teaching
Machine Learning | Teaching Assistant University of Oxford Instructors: Prof. Phil Blunsom and Dr. Anisoara Calinescu Michaelmas Term, 2019 • Responsible for homework marking and class teaching Logic and Proof | Teaching Assistant University of Oxford Instructor: Dr. Christoph Haase Trinity Term, 2019 • Responsible for homework marking and class teaching
Honors & Awards
Outstanding Undergraduate Thesis, Peking University 2017 Founder Scholarship, Peking University & Peking University Founder Group 2016 Merit Student, Peking University 2016 China Computer Federation Elite Collegiate Award, China Computer Federation 2016 IEEE VAST Challenge Outstanding Comprehensive Solution Award, IEEE VAST Challenge Data Analysis Contest (for the work [1]) 2016 Kwang-Hua Scholarship, Peking University & Kwang-Hua Education Foundation 2015 Academic Excellence Award, Peking University 2015 Okamatsu Scholarship, Peking University 2014
Service Reviewing
IEEE Visualization Conference Short Paper Track 2020 Eurographics Conference on Visualization 2019 IEEE Pacific Visualization Symposium 2019 ChinaVis Data Analysis Challenge 2018 – 2020 IEEE Symposium on Visualizations for Cyber Security 2016
Relevant Coursework Introduction to Visualization and Visual Computing, score 96/100 Peking University The Brain and Cognitive Science, score 92/100 Peking University Machine Learning, score 90/100 University of Oxford Computational Learning Theory, score 89/100 University of Oxford Computational Perception and Scene Analysis, score 93/100 Peking University Probability Theory and Statistics, score 91/100 Peking University Digital Image Processing, score 93/100 Peking University