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Email: yli538@connect.hkust-gz.edu.cn
I am LIYUFAN (aka Fish \ 鲤鱼)
a PhD candidate at HKUST (GZ), majoring in Computational Media and Arts. 
My works span two main areas:
 – My research investigates the neural and computational mechanisms underlying human aesthetic perception, with a specific focus on color;
 – My artworks use big data about human behavior and society as resourse to examine the paradox of computational aesthetics and technological crises.
I am also dedicated to finding innovative ways to bridge these two domains, creating a dialogue between science and art.
I have an interdisciplinary educational background, holding an MEng in Artificial Intelligence and Data Design and a BEng in Vehicle Engineering. Additionally, I bring a few years of industry experience as a Product Manager in technology companies.
Education
2023/02 - now
Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China.
– PhD Candidate of Computational Media and Arts
2018/09 - 2021/06
Tongji University, Shanghai, China.
– MEng in Design, Artificial Intelligence and Data Design
2019/09 - 2020/07
Politecnico di Torino, Turin, Italy.
 – Exchange Program, Systemic Design
2014/09 - 2018/06
Beijing Institute of Technology, Beijing, China.
 – BEng of Vehicle Engineering
Publiations
2024 - ISEA
Li, Yufan & Wang, Zhan & Papatheodorou, Theo*. “Staying vigilant in the Age of AI: From content generation to content authentication,” 2024 International Symposium on Electronic Art (ISEA2024), 8 pages. Links: Paper
2023 - VIS Art Program
Li, Yufan & Huang, Yue & Zhang, Kang & Guljajeva, Varvara. “Bitter Data: An Exploration into Data Edibilization of Negative Emotion,” 2023 IEEE VIS Arts Program (VISAP’2023), Melbourne, Australia, 22-27 October 2023. Pages 1–16. Links: Paper
2023 - Journal of Visualization
Li, Yufan & Fan, Zhenbao & Zhu, Yixuan & Yan, Christine & Zhang, Kang*. “Comparing color usage in abstract, oil, and Chinese ink paintings,” Journal of Visualization (2023). Volume 26, pages 1389–1404. Links: Paper
2022 - VINCI
Fan, Zhenbao & Zhu, Yixuan & Yan, Christine & Li, Yufan & Zhang, Kang*. “A Comparative Study of Color Between Abstract Paintings, Oil Paintings and Chinese Ink Paintings,” in 15th International Symposium on Visual Information Communication and Interaction (VINCI’2022). Association for Computing Machinery, New York, NY, USA, Article 4, 1–8. doi: 10.1145/3554944.3554951 Links: Paper
2021 - MIPR 
Li, Yufan & Zhuo, Jinggang & Fan, Ling* & Wang, Harry. “Culture-inspired Multi-modal Color Palette Generation and Colorization: A Chinese Youth Subculture Case,” in 2021 IEEE 4th International Conference on Multimedia Information Processing and Retrieval (MIPR), Tokyo, Japan, 2021 pp. 382-385. doi: 10.1109/MIPR51284.2021.00071 Links: PaperCode & Introduction | VideoDemo
2021 - NIME
Li, Yufan & Zhuo, Jinggang & Fan, Ling* & Wang, Zhe & Wang, Harry. “Semantically Enriched Music Visualization via Multimodal Color Generation,” in NIME 2021 Showcase. Links: PaperCodeVideo
2021 - Master Degree Thesis
Li, Yufan. “Research of Culture-inspired Intelligent Color Design System: A Chinese Youth Subculture Case (受文化启发的智能色彩设计系统与原型开发——以中国青年亚文化为例). J063/LC213, in 2021, Record in the Library of Tongji University. 
2021 - Chinese Patent 
Fan, Ling & Wang, Harry & Li, Yufan & Zhuo, Jinggang. “An image coloring method based on multimodal content encoding (一种基于多模态内容编码的图像着色方法), Published Code:CN113888660A, Tongji University. 
2021 - Chinese Patent 
Fan, Ling & Wang, Harry & Li, Yufan & Zhuo, Jinggang. “A method of visualizing musical colors based on musical semantics(一种基于音乐语义的音乐色彩可视化方法), Published Code:CN113920971A, Tongji University.
Exhibitions
2023/12 
Group Exhibition (BadWater), Douban Ulink Festival (豆瓣友邻生活节), Beijing Quanyechang Cultural Arts Center, Beijing
2022/03-2022/04 
Worries Overloaded, Solo Exhibition (BadWater), PLATESPACE, Beijing
2021/09-2021/10 
Deviant Colors, Solo Exhibition, fRUITYSPACE, Beijing
2021/03-2021/04 
Group Exhibition, The 13th Shanghai Biennale Phase II: Eco Alliance. “Institutions And Colleges”, Power Station of Art, Shanghai
Awards
2016 - National Award
Grand Prize of Industrial Information Innovation Scholarship
2016 - National Award
Group First prize of Formula Student China
2015 - National Award
Advanced Modeling and Product Design Contest of China, Individual First Prize & Group First prize
2015 - Province-wide Award 
First Prize of
Undergraduate Engineering Design Expression Contest of Beijing
2014-2018 - University Award
First-class Scholarships
Occupation
2022/04 - 2022/12
Research Assistant
CMA Thrust, Information Hub,the Hong Kong University of Science and Technology, Guangzhou.
2021/06 - 2022/03 
Senior Product Manager
Pingan Technology Company, Beijing.
2019/02 - 2019/06
Product Assistant (Intern)
Tezign Technology Company, Shanghai
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