Staff profile

Conference Paper

• Large-Scale Multi-Character Interaction Synthesis
  
  Chang, Z., Wang, H., Koulieris, G. A., & Shum, H. P. (2025). Large-Scale Multi-Character Interaction Synthesis. In SIGGRAPH Conference Papers ’25: Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference Conference Papers (pp. 1-10). ACM. https://doi.org/10.1145/3721238.3730750
• Unifying Human Motion Synthesis and Style Transfer with Denoising Diffusion Probabilistic Models
  
  Chang, Z., Findlay, E. J., Zhang, H., & Shum, H. P. (2023). Unifying Human Motion Synthesis and Style Transfer with Denoising Diffusion Probabilistic Models. In Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - GRAPP (pp. 64-74). ScitePress. https://doi.org/10.5220/0011631000003417
• Hard No-Box Adversarial Attack on Skeleton-Based Human Action Recognition with Skeleton-Motion-Informed Gradient
  
  Lu, Z., Wang, H., Chang, Z., Yang, G., & Shum, H. P. (2023). Hard No-Box Adversarial Attack on Skeleton-Based Human Action Recognition with Skeleton-Motion-Informed Gradient. Presented at ICCV 2023: 2023 IEEE/CVF International Conference on Computer Vision (ICCV), Paris, France. https://doi.org/10.1109/ICCV51070.2023.00424

Journal Article

• Physics-Based Motion Tracking of Contact-Rich Interacting Characters
  
  Zhang, X., Chang, Z., Men, Q., & Shum, H. P. H. (in press). Physics-Based Motion Tracking of Contact-Rich Interacting Characters. Computer Graphics Forum.
• On the Design Fundamentals of Diffusion Models: A Survey
  
  Chang, Z., Koulieris, G. A., Chang, H. J., & Shum, H. P. H. (2026). On the Design Fundamentals of Diffusion Models: A Survey. Pattern Recognition, 169, Article 111934. https://doi.org/10.1016/j.patcog.2025.111934
• Real-time and Controllable Reactive Motion Synthesis via Intention Guidance
  
  Zhang, X., Chang, Z., Men, Q., & Shum, H. P. H. (2025). Real-time and Controllable Reactive Motion Synthesis via Intention Guidance. Computer Graphics Forum, 44(6), Article e70222. https://doi.org/10.1111/cgf.70222