@inproceedings{zhang2021galaxy,
  annotation = {career,astrophysics},
  author = {Zhang, Yu and Liang, Gongbo and Su, Yuanyuan and Jacobs, Nathan},
  author+an = {4=highlight},
  booktitle = {International Conference on Pattern Recognition (ICPR)},
  title = {Multi-Branch Attention Networks for Classifying Galaxy Clusters},
  note = {Acceptance rate: 28.47\%},
  year = {2021},
  month = jan
}

@inproceedings{liang2020optical,
  annotation = {career,astrophysics},
  author = {Liang, Gongbo and Su, Yuanyuan and Lin, Sheng-Chieh and Zhang, Yu and Zhang, Yuanyuan and Jacobs, Nathan},
  author+an = {6=highlight},
  booktitle = {Workshop on Machine Learning and the Physical Sciences at the 34th Conference on Neural Information Processing Systems},
  title = {Optical Wavelength Guided Self-Supervised FeatureLearning For Galaxy Cluster Richness Estimate},
  year = {2020},
  month = dec
}

@article{su2020TNG,
  annotation = {career,astrophysics},
  author = {Su, Yuanyuan and Zhang, Yu and Liang, Gongbo and ZuHone, John and Barnes, David and Jacobs, Nathan and Ntampaka, Michelle and Forman, William and Nulsen, Paul and Kraft, Ralph and Jones, Christine},
  author+an = {6=highlight},
  journal = {Monthly Notices of the Royal Astronomical Society (MNRAS)},
  title = {A deep learning view of the census of galaxy clusters in {IllustrisTNG}},
  doi = {10.1093/mnras/staa2690},
  pdf = {https://arxiv.org/abs/2007.05144},
  year = {2020},
  note = {Impact factor: 5.356}
}