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Haibo_226

Owheo Building, Room 2.47
Tel +64 3 479 8534
Email haibo.zhang@otago.ac.nz

I received my PhD in Computer Science from the University of Adelaide in Australia, and completed my postdoc at KTH Royal Institute of Technology in Sweden.

My research interests include in wireless networks, high-performance computing, machine learning acceleration, and Internet-of-Things.

I have published over 100 peer-reviewed papers, many of which were published in top-tier referred international journals such as IEEE and ACM Transactions including IEEE TMC, IEEE TPDS, IEEE TCAD, IEEE TKDE, IEEE TWC, and ACM TECS and proceedings of prestigious conferences including INFOCOM, IPDPS, ICPP, ICAPS, and PAKDD.

I have been actively engaged in the research community, serving as a program chair or co-chair for 16 international conferences and a program committee member for over 100 international conferences. Currently, I am an Associate Editor for the Elsevier Journal of Internet of Things and the International Journal of Parallel, Emergent and Distributed Systems.

For more information, please see my research pages

Publications

Dai, F., Chen, Y., Huang, Z., Zhang, H., & Tian, H. (2024). Performance comparison of distributed DNN training on optical versus electrical interconnect systems. In Z. Tari, K. Li & H. Wu (Eds.), Algorithms and architectures for parallel processing: Proceedings of the 23rd International Conference, ICA3PP 2023 (Part 1): Lecture notes in computer science (Vol. 14487). (pp. 401-418). Singapore: Springer. doi: 10.1007/978-981-97-0834-5_23

Arghavani, A., Zhang, H., Huang, Z., & Chen, Y. (2024). Power-adaptive communication with channel-aware transmission scheduling in WBANS. IEEE Internet of Things Journal. Advance online publication. doi: 10.1109/JIOT.2024.3355702

Dai, F., Chen, Y., Huang, Z., & Zhang, H. (2024). Efficient algorithm for all-gather operation in optical interconnect systems. IEEE Open Journal of the Communications Society. Advance online publication. doi: 10.1109/OJCOMS.2023.3349372

Liu, H., Zhang, H., Li, B., Yu, X., Zhang, Y., & Penzel, T. (2023). MSleepNet: A semi-supervision based multi-view hybrid neural network for simultaneous sleep arousal and sleep stage detection. IEEE Transactions on Instrumentation & Measurement. Advance online publication. doi: 10.1109/TIM.2023.3348898

Pang, Y., Zhang, H., Deng, J. D., Peng, L., & Teng, F. (2023). Collaborative learning with heterogeneous local models: A rule-based knowledge fusion approach. IEEE Transactions on Knowledge & Data Engineering. Advance online publication. doi: 10.1109/TKDE.2023.3341808

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