Shi Yaxin


Research Area
  • Model Consistent Learning
  • Transfer Learning
  • Deep Generative Models


  • AAAI Conference on Artificial Intelligence Travel Award 2019


  • Neural Optimisation Kernel and Fast Structured Kernel Approximation for Machine Unlearning. AI3 HTCO Seed Fund 2022. Co-PI.


1. Yaxin Shi, Yuangang Pan, Donna Xu, Ivor W. Tsang: Multi-view Alignment and Generation in CCA via Consistent Latent Encoding. Neural Computation.32(10): 1936-1979 (2020)

2. Donna Xu, Yaxin Shi, Ivor W. Tsang, Yew-Soon Ong, Chen Gong, Xiaobo Shen: Survey on Multi-Output Learning. IEEE Trans. Neural Networks Learn. Syst. (TNNLS) 31(7): 2409-2429 (2020)

3. Yaxin Shi, Donna Xu, Yuangang Pan, Ivor W. Tsang, Shirui Pan: Label Embedding with Partial Heterogeneous Contexts. AAAI 2019: 4926-4933.

4.Guoqiang Zhong, Yaxin Shi, Mohamed Cheriet: Relational Fisher Analysis: A general framework for dimensionality reduction. IJCNN 2016: 2244-2251.

Research Services

  • Journal reviewer of TNNLS, T-CYB, Journal of Artificial Intelligence Research (JAIR), IEEE Transactions on Information Forensics & Security (TIFS) and Neural Computing
  • Conference review: ACML 2021, AAAI 2021, NeurIPS 2020, ICML 2020, IJCAI 2020, AAAI 2020, NeurIPS 2019