Selected Publications Related to Art and Design (Computational Aesthetics)

  1. K. Zhang, From Abstract Painting to Information Visualization, IEEE Computer Graphics and Applications, May/June 2007, 12-16.
  2. K. Zhang*, S. Harrell, and X. Ji, Computational Aesthetics - On Complexity of Computer-Generated Paintings, Leonardo, MIT Press, Vol.45, No.3, 2012, 243-248.
  3. K. Zhang and J.H. Yu, Generating Abstract Paintings in Kandinsky Style, Proc. 6th ACM SIGGRAPH Asia, Art Paper, Hong Kong, China, 19-22 November 2013, ACM Press, Article 18.
  4. Y. Zheng, X.C. Nie, Z.P. Meng, W. Feng, and K. Zhang*, Layered Modeling and Generation of Pollock's Drip Style, The Visual Computer, Vol.31, No.5, 2015, Springer, 589-600.
  5. 闫盼姣,张康,康定斯基抽象风格的计算机生成,装饰,6, 2016.
  6. W.Y. Tao, Y.X. Liu, and K. Zhang, Automatically Generating Abstract Paintings in Malevich Style, Proc. 13th IEEE/ACIS International Conference on Computer and Information Science (ICIS’2014), Taiyuan, China, 4-6 June 2014, 201-205.
  7. K. Zhang*, J.H. Yu, Generation of Kandinsky Art. Leonardo, MIT Press, Vol.49, No.1, 2016, 48-55.
  8. L. Xiong, K. Zhang*, Generation of Miro’s Surrealism, Proc. 9th Symp. on Visual Information Communication and Interaction (VINCI’2016), Dallas, USA, 24-26 September, 2016, ACM Press, 130-137.
  9. G. Lian, Y. Wang, K Zhang*, An Attempt in Modeling Picasso’s Cubism Style, Proc. SIGGRAPH Asia 2016, Macau, China, 5-8 December 2016, ACM Press, Posters: 53.
  10. Y-N. Li, K. Zhang*, and D.J. Li, Rule-Based Automatic Generation of Logo Designs, Leonardo, MIT Press, Vol.50, No.2, 2017.
  11. Z.B. Fan, Y.N. Li, J.H. Yu, K. Zhang*, Visual Complexity of Chinese Ink Paintings, Proc. ACM Symposium on Applied Perception, Cottbus, Germany, 16-17 September 2017, ACM Press.
  12. J.J. Zhang, K. Zhang, J.H. Yu, Computer-Aided Generation of Mandala Thangka Patterns, Proc. 10th Symp. on Visual Information Communication and Interaction (VINCI’2017), Bangkok, Thailand, 14-16 August 2017, ACM Press, 93-100.
  13. J.J. Zhang, J.H. Yu, K. Zhang, X.S. Zheng, J.S. Zhang, Computational Aesthetic Evaluation of Logos, ACM Transactions on Applied Perception, Vol.14, No.3, Article 20, 2017.
  14. K. Zhang*, Y.H. Bo, Y. Yang, Towards a Design Generation Methodology, Proc. 10th Symp. on Visual Information Communication and Interaction (VINCI’2017), Bangkok, Thailand, 14-16 August 2017, ACM Press (poster), 71-72.
  15. L. Jiang, K. Zhang*, Research of Apparel Brand Overlap Based on Customer Perceived Value and Eye Tracking Technology, Tsinghua Science and Technology, Vol.23, No.1, February 2018, 47-64.
  16. C. Li, L. Jiang, K. Zhang*, Generating Circulation Designs Using Shape Grammars, Tsinghua Science and Technology, Vol.23, No.6, December 2018, 680-689.
  17. M. Zhang, H. Li, K. Zhang, J. Yu, Computer Simulation and Generation of Moving Sand Pictures, IEEE Transactions on Visualization and Computer Graphics, Vol.24, No.12, December 2018, 3058-3068.
  18. 张康,樊桢宝,计算美学中的生成技术与美学度量,装饰,3(总299期), 2018, 047-049.
  19. B. Gao, Y. Deng, K. Zhang, Smart Service Design for a Shanghai Garment Store, Touchpoint, Vol.10, No.2, October 2018.
  20. Y.H. Bo, J.H. Yu, K. Zhang*, Computational Aesthetics and Applications, Visual Computing for Industry, Biomedicine and Art, Springer, 1:6, December 2018.
  21. Z.B. Fan, K. Zhang*, X.J. Zheng, Evaluation and Analysis of White Space in Wu Guanzhong’s Chinese Paintings, Leonardo, MIT Press, Vol.52, No.2, 2019, 111-116.
  22. M. Zhang, J.H. Yu, K. Zhang, Artistic Augmentation of Photographs with Droplets, Journal of Computer Science and Technology, Vol.34, No.6, 2019, 1294-1306.
  23. H.Q. Zhao, K. Zhang*, Modeling and Generating Abstract Images of Paul Klee Style, International Journal of Arts and Technology, Vol.11 No.4, Inderscience Publishers, 2019, 380-392.
  24. G.Y. Lian and K. Zhang*, Transformation of Portraits to Picasso’s Cubism Style, The Visual Computer, Vol.36, No.4, 2020, 799-807.
  25. J.J. Zhang, K. Zhang, J.H. Yu*, Parametric Modeling and Generation of Mandala Thangka Patterns, Journal of Computer Languages, online 11 April 2020.
  26. K. Zhang*, J.H. Yu, The Computer-Based Generation of Fonts in the Style of Kandinsky, Leonardo, MIT Press, 2020, doi: 10.1162/leon_a_01888.
  27. Z.B. Fan, K. Zhang*, Visual Order of Chinese Ink Paintings, Visual Computing for Industry, Biomedicine and Art, Springer, 3:23, October 2020.
  28. Z.B. Fan, Y-N. Li*, K. Zhang, J. Yu, M.L. Huang, Measuring and Evaluating the Visual Complexity of Chinese Ink Paintings, The Computer Journal, Oxford University Press, accepted to appear, 2021.
  29. Peichi Zhou, Zipeng Zhao, Kang Zhang, Chen Li, Changbo Wang, An End-to-End Model for Chinese Calligraphy Generation. Multimedia Tools and Applications, Vol.80, No.5, 2021, 6737-6754.
  30. Z.B. Fan, Y. Zhu, S. Markovic, K. Zhang*, A Comparative Study of Oil Paintings and Chinese Ink Paintings on Composition, The Visual Computer, accepted to appear, 2022.
  31. Y. Yang, G. Chen, M. Li, K. Zhang*, Interactive Moiré Patterns Reflecting on the Traditional Nanjing Baiju Opera, Leonardo, MIT Press, accepted to appear, 2022.
  32. * Corresponding author

    For selected computer science papers, please refer to Kang's UTD Publication Page.