Research Experience
the Visualization Lab: Wakita Lab
Tutor: Ken Wakita (@Titech)
2021.4-Present
Research Proposal:
Database Exploration System based on Visual and Textual Explanations of the Automatically Extracted Facts.
Key Words: Information Visualization, Text Visualization, Text Generation, Text Mining
the Visualization Research Group: DTVIS
Tutor: Richen Liu (@Nanjing Normal University)
2018.9-2020.10
Presentation: ChinaVis 2019;
JA/Conf. Regular Papers:
- Xueyi Chen, Liming Shen, Ziqi Sha, Richen Liu*, Siming Chen, Genlin Ji, and Chao Tan.
A Survey of Multi-Space Techniques in Spatio-Temporal Simulation Data Visualization.
Visual Informatics (ChinaVis'19), 3(3):129-139, 2019. (EI, CSIG-VIS Best Survey Paper Award)
| DOI | PDF |
- Liming Shen, Xueyi Chen, Richen Liu*, Hailong Wang, and Genlin Ji.
Domain-Specific Language Techniques for Visual Computing: A Comprehensive Study.
Archives of Computational Methods in Engineering, 28(4):1-22, 2020. (SCI-TOP, 5-Year IF=7.351)
| DOI | PDF |
- Richen Liu*, Liming Shen, Xueyi Chen, Genlin Ji, Bin Zhao, Chao Tan, and Mingjun Su.
Sketch-Based Slice Interpretative Visualization for Stratigraphic Data.
Journal of Imaging Science and Technology, 63(6):60505-1-60505-10(10), Nov., 2019. (SCI)
| DOI | PDF |
- Xiaohan Wang, Chuyu Zhang, Yu Zhu, Xueyi Chen, Liming Shen, Richen Liu*, and Rongtao Qian.
Hybrid Line-Based and Region-Based Interactive Set Data Visualization.
ACM CHI Conference on Human Factors in Computing Systems (ACM SIGCHI’21), Article No.: 411, pages 1-7, Yokohama, Japan, May 8-13, 2021. (CCF A)
| DOI | PDF |
Posters:
- Shunlong Ye, Guang Yang, Ziyu Yao, Xueyi Chen, Ting Jin, Genlin Ji, and Richen Liu*.
Robust 3-D Field Line Query Based on Data Fusion of Multiple Leap Motions.
IEEE Visualization 2020 (IEEE VIS Poster Paper), Salt Lake City, USA, October 25-30, 2020. (CCF A).
- Liming Shen, Xueyi Chen, Richen Liu*, Rongtao Qian, Genlin Ji, and Chao Tan.
BalloonVis: An Energy Optimization-Based Set Visualization Tool to Explore Literature Data.
ChinaVis 2019 (Poster Paper), 2019.
Papers in Chinese:
- Sitong Fang, Lijun Wang, Min Gao, Rongtao Qian, Xueyi Chen, Liming Shen, Lidan Zhang, Richen Liu, Wang Qiong.
Interactive Power Data Visualization and Analytics.
Journal OF NNU (Natural Science Edition), 29(2):96-106, 2019. (CSCD)
Software Copyright (2019SR1158617):
Interactive Multi-Ensemble and Multi-Layer Literature Data Visualization Application V1.0 (Java);
Project Experience
Undergraduate Training Program for Innovation and Entrepreneurship
(National Level Project)
2018.6-2019.6
Theme: the Recognition and Application of Human Posture and Movement Based on Kinect;
Introduction:
This project made use of Microsoft's game device, Kinect, and was developed with C# and MATLAB.
By taking advantage of human skeleton data captured by the device,
we identified a series of human structures and action states
based on joint angles calculation and comparisons in 3-D space
and further applied them into action recognition and drumming games.
We also optimized this process with a Kalman filter.
5 students and 1 teacher engaged in this project.
2 coding teams (each of which consists of 2 people) are responsible for developments.
Acted as: The Second Director
As the 2nd director of the project, was responsible for software development and related presentation;
Software Copyrights:
- 2019SR0565838: The Recognition of the Human Posture Based on the Joint Angles V1.0 (C#);
- 2019SR0565819: The Virtual Drum Software Based on Kinect Gesture Recognization V1.0 (C#);
A Research Project
2018-2019
Theme: An Interactive Visualization System for Set Data Exploration
Introduction:
We aim to design a Region-based + Line-based visualization system called BalloonVis
to explore the relationships among nested set data,
and take a trade-off considering the pros and cons of these 2 classical deisgns.
The system is built with Java, specifically Prefuse toolkit.
2 people engaged in the development as a team and was guided by 1 teacher.
We basically did all the tasks half-to-half.
Publication:
-
BalloonVis: An Energy Optimization-Based Set Visualization Tool to Explore Literature Data.
ChinaVis 2019 (Poster Paper), 2019.
-
Hybrid Line-Based and Region-Based Interactive Set Data Visualization.
ACM CHI Conference on Human Factors in Computing Systems (ACM SIGCHI’21),
Article No.: 411, pages 1-7, Yokohama, Japan, May 8-13, 2021. (CCF A)
Software Copyright(2019SR1158617):
Interactive Multi-Ensemble and Multi-Layer Literature Data Visualization Application V1.0 (Java);
A Data Mining Course Assignement
2019.5-2019.6
Theme: Weibo Topic Extraction and Visualization
Introduction:
Weibo is a popular SNS in China.
Its data set contains few characters, lots of brand new terms, and many spelling mistakes.
To handle the problem of noise and sparseness,
we designed a completed system to make use of DBSCAN (a density-based clustering algorithm) on it.
Besides, we use a simple method to complete the sentimental analysis.
Eventually, an interactive visualization system is designed to present the result.
The system is built with Java and HTML/JavaScript/CSS.
We made use of Bootstrap toolkit and D3.js and Echarts.js for the front-end.
2 people engaged in the development as a team. I was responsible for the front-end and report.
Undergraduate Thesis
2020.2-2020.6
Theme: Interactive Flow Fields Visualization based on Gesture Query in 3-D with Leap Motion.
(This Undergraduate Thesis has been granted to grade A.)
Introduction:
The extraction of user-defined derived features is significant for feature-based flow field visualization.
This kind of feature extraction often depends on the experience and domain knowledge of experts.
Appropriate interaction design would help users to input and extract features aptly to a large degree.
We propose an interactive flow visualization system based on Leap Motion,
a somatosensory controller with the function of gesture recognization.
A feature extraction algorithm would query the field lines with similar characteristics in the flow field,
providing real-time feedback to users.
A series of parameter adjustment interfaces are provided for further optimization during the process.
The system is developed with C++ with the help of OpenGL.
Publication:
Robust 3-D Field Line Query Based on Data Fusion of Multiple Leap Motions.
IEEE Visualization 2020 (IEEE VIS Poster Paper), Salt Lake City, USA, October 25-30, 2020. (CCF A).
Honors and Awards
- Best Survey Paper Award (the 1st author), ChinaVis'19, 2019.
- Jasso Scholarships for International Students in Japan, 2021.
- the Excellent Student Scholarships, Nanjing Normal University, 2016-2020.
- the Blue Bridge Cup Programming Contest: Groupe A, Java, the Provincial 2nd Class Prize, 2019.
- the Microsoft Imagine Cup: the Provincial 3rd Class Prize (Team Member), 2018.
Leadership Experience
the Students' Union of the College of Computer Science and Technology
2016.9-2018.6
Related awards: the Excellent Officer, the Excellent Minister, and the Excellent Department;
Acted as: Minister of the Design Department
Being familiar with the design works including PPT, videos, posters, brochures, UI designs and others using Adobe and Office software.
