Tao Gu

Tao Gu

Email: firstname dot lastname AT mq.edu.au
Phone: +61-2-9850-4357
Address: Room 267, 4 Research Park Drive, North Ryde, NSW 2109, Australia

Department of Computing, Macquarie University

I am currently a Professor in Department of Computing at Macquarie University, Sydney. I obtained my Ph.D. in Computer Science from National University of Singapore, M.Sc. in Electrical and Electronic Engineering from Nanyang Technological University, and B.Eng. in Automatic Control from Huazhong University of Science and Technology. I am currently serving as an Editor of Proc. of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), an Associate Editor of IEEE Transactions on Mobile Computing (TMC) and IEEE Internet of Things Journal (IoT-J).

The long-term goal of my research aims to discover innovative ways of sensing and connecting the physical world, and embedding AI intelligence to facilitate the building of new applications. My current research interests include Internet of Things, Ubiquitous Computing, Mobile Computing, Embedded AI, Wireless Sensor Networks, and Big Data Analytics. Please visit the Projects page for the specific research we are doing. We usually publish our work in journals and conferences, including ACM/IEEE ToN, IEEE JSAC, IEEE TMC, MobiCom, SenSys, UbiComp, IPSN, and INFOCOM.

On-going Projects

  Critical Supply Chain CRC

  LPWAN

  Mobile Deep Learning

  Indoor Positioning

  Activity and Gesture Detection

Selected Publications

LoRaWAN:

[ToN'20] Xianjin Xia, Yuanqing Zheng, and Tao Gu. FTrack: Parallel Decoding for LoRa Transmissions, IEEE/ACM Transactions on Networking (ToN), 2020.

[INFOCOM'20] Xianjin Xia, Yuanqing Zheng, and Tao Gu. LiteNap: Downclocking LoRa Reception, in Proc. of IEEE INFOCOM 2020, Toronto, Canada, July 6-9, 2020.

[IPSN'20] Yuxiang Lin, Wei Dong, Yi Gao, and Tao Gu. SateLoc: A Virtual Fingerprinting Approach to Outdoor LoRa Localization using Satellite Images, in Proc. of the 19th ACM/IEEE Conference on Information Processing in Sensor Networks (IPSN 2020), Sydney, Australia, April 21-24, 2020.

Mobile Deep Learning:

[TMC'21] Yu Zhang, Tao Gu, and Xi Zhang. MDLdroidLite: a Release-and-Inhibit Control Approach to Resource-Efficient Deep Neural Networks on Mobile Devices, IEEE Transactions on Mobile Computing (TMC), 2021.

[SenSys'20] Yu Zhang, Tao Gu, and Xi Zhang. MDLdroidLite: a Release-and-Inhibit Control Approach to Resource-Efficient Deep Neural Networks on Mobile Devices, in Proc. of the 18th ACM Conference on Embedded Networked Sensor Systems (SenSys 2020), Yokohama, Japan, November 16-19, 2020.

[IPSN'20] Yu Zhang, Tao Gu, and Xi Zhang. MDLdroid: a ChainSGD-reduce Approach to Mobile Deep Learning for Personal Mobile Sensing, in Proc. of the 19th ACM/IEEE Conference on Information Processing in Sensor Networks (IPSN 2020), Sydney, Australia, April 21-24, 2020.

Wireless & Sensing:

[UbiComp'20] Dan Wu, Ruiyang Gao, Youwei Zeng, Jinyi Liu, Leye Wang, Tao Gu, and Daqing Zhang. FingerDraw: Sub-wavelength Level Finger Motion Tracking with WiFi Signals, the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), 2020.

[ToN'19] Xianjin Xia, Shining Li, Yu Zhang, Bingqi Li, Yuanqing Zheng, and Tao Gu. Enabling Out-of-band Coordination of Wi-Fi Communications on Smartphones, IEEE/ACM Transactions on Networking (ToN), Vol. 27, No. 2, pp. 518-531, April 2019.