Bo Peng

I am currently a master student in Data Science at School of Information Technology and Electrical Engineering, The University of Melbourne, Australia. In 2020, I received the dual bachelor’s degree in computer science and computer and information science from China Jiliang University and Auckland University of Technology respectively. Starting from August 2023, I will pursue the Ph.D. degree at the University of Technology Sydney under the supervision of Distinguished Professor Jie Lu.

I am also machine learning researcher with research interests in representation learning. If there exists a unified theory in machine learning, computer vision, and pattern recognition, I believe in that it must be representation learning. Under the principled framework of representation learning, my long-term research goals are:

• explore and understand the mechanism and way of encoding sensory data employing by our brain;
• develop unsupervised or self-supervised deep learning methods with high interpretability;
• design new methods for deep subspace clustering and deep clustering.
• revisit knowledge distillation, transfer learning, metric learning, classification, etc;

• Bo Peng , Wenjie Zhu, and Xiuhui Wang. "Deep residual matrix factorization for gait recognition." Proceedings of the 2020 12th International Conference on Machine Learning and Computing. 2020.
• Wenjie Zhu*, and Bo Peng . "Sparse and low-rank regularized deep subspace clustering." Knowledge-Based Systems 204 (2020): 106199.
• Wenjie Zhu*, Bo Peng , et al. "Query set centered sparse projection learning for set based image classification." Applied Intelligence 50 (2020): 3400-3411.
• Bo Peng , and Wenjie Zhu. "Deep Structural Contrastive Subspace Clustering." Asian Conference on Machine Learning (ACML). PMLR, 2021: 1145-1160.
• Wenjie Zhu*, Bo Peng , et al. "Self-Supervised Embedding for Subspace Clustering." Proceedings of the 30th ACM International Conference on Information & Knowledge Management (CIKM). 2021: 3687-3691.
• Wenjie Zhu*, and Bo Peng . "Manifold-based aggregation clustering for unsupervised vehicle re-identification." Knowledge-Based Systems 235 (2022): 107624.
• Chunchun Chen, Wenjie Zhu, Bo Peng , et al. "Towards Robust Community Detection via Extreme Adversarial Attacks." 2022 26th International Conference on Pattern Recognition (ICPR). IEEE, 2022.
• Chunchun Chen, Wenjie Zhu, and Bo Peng . "Differentiated graph regularized non-negative matrix factorization for semi-supervised community detection." Physica A: Statistical Mechanics and its Applications 604 (2022): 127692.