Yao Yinghua


Research Area
  • Generative Modelling
  • Deep Clustering


  • UTS-SUSTech Scholarship 2018-2022
  • Excellent Undergraduate Thesis Research 2018


1. Jing Li, Yuangang Pan, Yueming Lyu, Yinghua Yao, Yulei Sui, and Ivor W. Tsang. Earning Extra Performance from Restrictive Feedbacks. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023.

2. Yunce Zhao, Dashan Gao, Yinghua Yao, Zeqi Zhang, Bifei Mao and Xin Yao. Robust Deep Learning Models Against Semantic-Preserving Adversarial Attack. International Joint Conference on Neural Networks, 2023. 

3. Yinghua Yao, Yuangang Pan, Ivor W. Tsang, Xin Yao: Differential-Critic GAN: Generating What You Want by a Cue of Preferences. IEEE Transactions on Neural Networks and Learning Systems, 2022.

4. Yinghua Yao, Yuangang Pan, Ivor W. Tsang, Xin Yao: Support Matching: A Novel Regularisation to Escape from Mode Collapse in GANs. In Proceedings of International Conference on Neural Information Processing, 40-48. (2019)

Research Services

  • Conference Reviewer: NeurIPS 2021-2023, ICML 2023, ICML 2021, ICLR 2022-2023, AAAI 2023, ACML 2022-2023, ICONIP 2020-2021
  • Journal Reviewer: TBD, TETCI, Neuro Computing, Machine Learning Journal