Yao Yinghua

team--yao-yinghua

Research Area
  • Generative Modelling
  • AI for Bioscience
  • Best poster award at AI for Science and Nobel Turing Challenge Initiative Conference, Singapore 2024
  • Best paper award at Conference at Parsimony and Learning (CPAL) 2024
  1. Yinghua Yao, Yuangang Pan, and Xixian Chen. Generative Co-Design of Antibody Sequences and Structures via Black-Box Guidance in a Shared Latent Space. Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI), 2025.

  2. Yuanyuan Chang, Yinghua Yao*, Tao Qin, Mengmeng Wang, Ivor Tsang, and Guang Dai, Instructing Text-to-Image Diffusion Models via Classifier-Guided Semantic Optimisation. Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI), 2025.

  3. Zhiqiang Zhong, Yinghua Yao, Davide Mottin, and Jun Pang. EVOL3D: A Large-Scale 3D Structure Dataset for Investigating Mutational Effects in Homologous Proteins. Proceedings of the AI4X International Conference, 2025.

  4. Yinghua Yao, Yuangang Pan, Jing Li, Ivor Tsang, and Xin Yao. Generative Adversarial Ranking Nets. Journal of Machine Learning Research, vol. 25, no. 119, pp. 1–35, 2024. 
  • Conference Reviewer: ICML, NeurIPS, ICLR, AAAI, ACML, ICONIP, CVPR
  • Journal Reviewer: TIT, TPAMI, Machine Learning, TBD, TETCI, Neuro Computing
  • Session chair: IJCAI 2025