Research output per year
Research output per year
Personal profile
Biography
Dr. Bohan Zhuang is a tenure-track assistant professor at the Faculty of Information Technology, Monash University, Australia. Previously, he was a Senior Research Fellow and finished his PhD in Computer Science at the University of Adelaide, where he was advised by Prof. Ian Reid and Prof. Chunhua Shen. During his undergraduate study, he was fortunately supervised by Prof. Huchuan Lu.
His main research topic is efficient deep learning computing. He has also been contributing to a wide span of applications in Machine Learning and Computer Vision. Apart from academic, he is a music enthusiast and have been playing piano since 4 years old.
Here is my personal website.
Education/Academic qualification
Mathematical and Computer Science, Doctor of Philosophy, University of Adelaide
Award Date: 31 Jul 2018
Research area keywords
- Machine Learning
- Computer Vision
Network
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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AQD: towards accurate quantized object detection
Chen, P., Liu, J., Zhuang, B., Tan, M. & Shen, C., 2021, Proceedings - 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2021. Masson-Forsythe, M. & Mortensen, E. (eds.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 104-113 10 p. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
2 Citations (Scopus) -
Discrimination-aware network pruning for deep model compression
Liu, J., Zhuang, B., Zhuang, Z., Guo, Y., Huang, J., Zhu, J. & Tan, M., 23 Mar 2021, (Accepted/In press) In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 15 p.Research output: Contribution to journal › Article › Research › peer-review
8 Citations (Scopus) -
Effective training of convolutional neural networks with low-bitwidth weights and activations
Zhuang, B., Tan, M., Liu, J., Liu, L., Reid, I. & Shen, C., 14 Jun 2021, (Accepted/In press) In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 13 p.Research output: Contribution to journal › Article › Research › peer-review
3 Citations (Scopus) -
Generative Low-bitwidth Data Free Quantization
Xu, S., Li, H., Zhuang, B., Liu, J., Cao, J., Liang, C. & Tan, M., 2020, Computer Vision – ECCV 2020 : 16th European Conference Glasgow, UK, August 23–28, 2020 Proceedings, Part XII 123. Vedaldi, A., Bischof, H., Brox, T. & Frahm, J-M. (eds.). Cham Switzerland: Springer, p. 1-17 17 p. (Lecture Notes in Computer Science ; vol. 12357 ).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
5 Citations (Scopus) -
Training quantized neural networks with a full-precision auxiliary module
Zhuang, B., Liu, L., Tan, M., Shen, C. & Reid, I. D., 2020, Proceedings - 33th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2020. Liu, C., Mori, G., Saenko, K. & Savarese, S. (eds.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 1488-1497 10 p.Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
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