Guang Yang bio photo

Email: guangyang@cuhk.edu.hk

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About Me

Here is Guang Yang.

I am a Postdoctoral Fellow in the Department of Statistics and Data Science at The Chinese University of Hong Kong, working with Prof. Junhui Wang. I received my PhD in Statistics from the School of Data Science at City University of Hong Kong under the supervision of Prof. Long Feng. Prior to that, I received my Bachelor’s degree in Economic Statistics from the School of Statistics at Renmin University of China.

My current research interests focus on statistical machine learning and medical imaging analysis.


Backgrounds

  • 2024.09 - Present: Postdoc, Department of Statistics and Data Science, The Chinese University of Hong Kong
  • 2020.09 - 2024.08: PhD, School of Data Science, City University of Hong Kong
  • 2016.09 - 2020.06: BEc, School of Statistics, Renmin University of China


Papers

Journals

  • Yang, G. and Wang, J. Dimension Reduction for Relational Data with Covariates. Under review.
  • Yang, G., Lin, L., Feng, L., Wang, F. and Wang, J. Understanding Partial Transfer in CNNs via Kronecker Product Regression. Under review.
  • Yang, G., Shi, W., Cao, Y. and Feng, L. Learning CNN Filters via Generalized Stein’s Method. Under review.
  • Yang, G. and Feng, L. (2025). Region Detection and Image Clustering via Sparse Kronecker Product Decomposition. Computational Statistics and Data Analysis. [Elsevier]
  • Feng, L.# and Yang, G.# (2023). Deep Kronecker Network. Biometrika. [OUP][arXiv]
  • Zhang, Y., Lian, H., Yang, G., Zhao, S., Ni, P., Chen, H. and Li, C. (2021). Inaccurate-Supervised Learning with Generative Adversarial Nets. IEEE Transactions on Cybernetics. [IEEE]

Conferences

  • Yang, G., Cao, Y. and Feng, L. (2024). Attention boosted Individualized Regression. The Thirty-eighth Annual Conference on Neural Information Processing Systems (NeurIPS 2024). [NeurIPS]
  • Zhang, Y., Yang, G., Zhao, S., Ni, P., Lian, H., Chen, H. and Li, C. (2020). Partial Label Learning via Generative Adversarial Nets. In 24th European Conference on Artificial Intelligence (ECAI 2020). [IOS]


(# alphabetical authorship.)

Teaching Assistants

  • SDSC6001 Statistical Machine Learning
  • SDSC3007 Advanced Statistics
  • SDSC2102 Statistical Methods and Data Analysis