Dr Mingming GONG

Lecturer / ARC DECRA

School of Mathematics and Statistics

• Phone +61 3 834 49211
• Email mingming.gong@unimelb.edu.au
• Website https://mingming-gong.github.io/

• Room: 111 OGS
• Building: Old Geology South
• Campus: Parkville

Research Interests

• Machine Learning
• Causal Reasoning
• Computer Vision

Research Groups

• Data Science
• Deep Learning
• Pure Mathematics
• Statistics

Recent Publications

• Changqing Shen, Xu Wang, Yongxiang Li, Jun Zhu, M. GONG. Dynamic Joint Distribution Alignment Network for Bearing Fault Diagnosis Under Variable Working Conditions. IEEE Transactions on Instrumentation and Measurement, 70, 1-13, 2021. doi: 10.1109/TIM.2021.3055786.

• Jia Shao, Bo Du, C. Wu, M. GONG, T. Liu. HRSiam: High-Resolution Siamese Network, towards Space-Borne Satellite Video Tracking. IEEE transactions on image processing : a publication of the IEEE Signal Processing Society, 30, 3056-3068, 2021. doi: 10.1109/TIP.2020.3045634.

• Sumedha Singla, M. GONG, Craig Riley, Frank Sciurba, Kayhan Batmanghelich. Improving clinical disease subtyping and future events prediction through a chest CT?based deep learning approach. Medical physics, 48, 1168-1181, 2021. doi: 10.1002/mp.14673.

• Yanwu Xu, M. GONG, Junxiang Chen, T. Liu, Kun Zhang, Kayhan Batmanghelich. Generative-Discriminative Complementary Learning. Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI; CORE Rank A*), 6526-6533, 2020.

• Biwei Huang, Kun Zhang, M. GONG, Clark Glymour. Causal Discovery from Non-Identical Variable Sets. Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI; CORE Rank A*), 10153-10161, 2020.

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Current MSc Students

Name	Project title
Menglin YE	"to be confirmed"
Kexin XU	"to be confirmed"