Tao Gu

Tao Gu

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

Department of Computing, Macquarie University

Biography

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, SenSys, UbiComp, IPSN, and INFOCOM.

On-going Projects

  LPWAN

  Mobile Deep Learning

  Indoor Positioning

  Activity and Gesture Detection

  Sensor Data Analytics

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.

[SenSys'19] Xianjin Xia, Yuanqing Zheng, and Tao Gu. FTrack: Parallel Decoding for LoRa Transmissions, in Proc. of the 17th ACM Conference on Embedded Networked Sensor Systems (SenSys 2019), New York, November 10-13, 2019.

Mobile Deep Learning:

[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.

[UbiComp'18] Xiang Zhang, Lina Yao, Salil Kanhere, Yunhao Liu, Tao Gu, and Kaixuan Chen. MindID: Person Identification from Brain Waves through Attention-based Recurrent Neural Network, the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), Vol. 2, No. 3, Article No. 149, September 2018.

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.

[TMC'19] Yao Wang, Wandong Cai, Tao Gu, and Wei Shao. Your Eyes Reveal Your Secrets: An Eye Movement Based Password Inference on Smartphone, IEEE Transactions on Mobile Computing (TMC), 2019.

[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.

[UbiComp'18] Yu Zhang, Tao Gu, Chu Luo, Vassilis Kostakos, and Aruna Seneviratne. FinDroidHR: Smartwatch Gesture Input with Optical Heartrate Monitor, in Proc. of the 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2018), Singapore, October 9-11, 2018.

[INFOCOM'18] Zhiwei Zhao, Wei Dong, Geyong Min, Gonglong Chen, Tao Gu, and Jiajun Bu. Towards Repeatable Wireless Network Simulation Using Performance Aware Markov Model, in Proc. of IEEE INFOCOM 2018, Honolulu, USA, April 15-19, 2018.

Sensor Data Analytics:

[IoT-J'18] Wei Shao, Flora Salim, Tao Gu, Thanh Dinh, and Jeffrey Chan. Travelling Officer Problem: Managing Car Parking Violations Efficiently Using Sensor Data, IEEE Internet of Things Journal (IoT-J), Vol. 5, No. 2, pp. 802-810, April 2018.

[UbiComp'16] Lina Yao, Feiping Nie, Quan Z. Sheng, Tao Gu, and Sen Wang. Learning from Less for Better: Semi-Supervised Activity Recognition via Shared Structure Discovery, In Proc. of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2016), Heidelberg, Germany, September 12-16, 2016.

[UbiComp'15] Zhiwen Yu, Rong Du, Bin Guo, Tao Gu, Zhu Wang, and Daqing Zhang. Who Should I Invite for My Party? Combining User Preference and Influence Maximization for Social Events, Notes, In Proc. of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2015), Osaka, Japan, September 7-11, 2015.

Recent News

12/2020: We have a paper accepted by INFOCOM 2021. Congratulations to Jiuwu!

11/2020: We have two papers accepted by ACM/IEEE ToN. Congratulations to Xianjin and Zhiwei!

09/2020: Several month’s lockdown in Melbourne can really drive people mad, but nothing could encourage people better than sharing good news. Congratulation to Yu for his SenSys 2020 paper! I believe this is the world-first on-device deep learning framework with both training and inference that is fully enabled on commercial smartphones.

06/2020: I was invited to serve as the TPC Chair of IoTDI 2021.

05/2020: I was appointed as an Editor of IMWUT.

02/2020: We have two papers accepted by IPSN 2020. Congratulations to Yu and Yuxiang!

12/2019: We have an INFOCOM 2020 paper accepted. Congratulations to Xianjin!

09/2019: We will have two PhD students and two visiting overseas students joining our team. Welcome!

07/2019: Our paper on Lora parallel decoding will appear in SenSys 2019. Congratulations to Xianjin!

04/2019: One paper is accepted by ACM/IEEE ToN. Congratulations to Xianjin!

01/2019: My ARC DP grant application on decimetre-level indoor positioning which has a total funding amount of AUD280,000 is successful.

11/2018: Two papers are accepted by TMC.

10/2018: We have three papers in UbiComp 2018. Congratulations to Yu, Liang, and Tianben!

04/2018: We have a paper accepted by INFOCOM 2018. Congratulations to Zhiwei!

Hiring

We are hiring Postdocs and PhD students!

The IoT research team in the Department of Computing at Macquarie University, Sydney, is recruiting several Postdocs and PhD students. Our team has a research focus in the areas of LoRaWANs, wireless sensing, mmWave radar sensing, and mobile deep learning.

Postdoc requirements:

  • PhD degree in Computer Science.
  • Solid theoretical foundation and strong system implementation skills.
  • Excellent publication record in mobile computing, wireless networking, and ubiquitous computing.

PhD student requirements:

  • Master’s degree in Computer Science or Electrical Engineering.
  • Solid theoretical foundation and strong system implementation skills.
  • IELTS above 6.5 overall and no sub-band below 6.0.
  • Self-motivated and have strong passion in conducting high-quality research.

We offer full PhD scholarship and competitive salaries and provide a vibrant research environment with strong facility and team supports. You will join the team led by Prof. Gu who is internationally recognized in the areas of ubiquitous computing, mobile computing and sensor networks. The team constantly published in top conferences and journals. To apply, please send your CV to tao.gu@mq.edu.au. We provide the flexibility of remote start for the successful candidates, given the current situation of COVID-19.