Department of Computer Science and Technology

Course pages 2019–20

Advanced Topics in Mobile Systems and Mobile Data Machine Learning

Lecture Material

1st November 2019 (1h): Introduction.

8th November 2019: System, Energy and Security.

  1. Naser Al Duaij, Alexander Van't Hof, and Jason Nieh. 2019. Heterogeneous Multi-Mobile Computing. In Proceedings of the 17th Annual International Conference on Mobile Systems, Applications, and Services (MobiSys '19). ACM, New York, NY, USA.PDF.
  2. Huan Feng, Kassem Fawaz, and Kang G. Shin. 2017. Continuous Authentication for Voice Assistants. In Proceedings of the 23rd Annual International Conference on Mobile Computing and Networking (MobiCom '17). ACM, New York, NY, USA. PDF.
  3. Jaewon Choi, HyeonJung Park, Jeongyeup Paek, Rajesh Krishna Balan, and JeongGil Ko. 2019. LpGL: Low-power Graphics Library for Mobile AR Headsets. In Proceedings of the 17th Annual International Conference on Mobile Systems, Applications, and Services (MobiSys '19). ACM, New York, NY, USA. PDF.

15th November 2019: Activity Recognition with Machine Learning and Mobile Sensor Data.

  1. Hyeokhyen Kwon, Gregory D. Abowd, and Thomas Ploetz. 2019. Handling annotation uncertainty in human activity recognition. In Proceedings of the 23rd International Symposium on Wearable Computers (ISWC '19). ACM, New York, NY, USA. PDF.
  2. Aaqib Saeed, Tanir Ozcelebi, and Johan Lukkien. 2019. Multi-task Self-Supervised Learning for Human Activity Detection. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 3, 2, Article 61 (June 2019). PDF.
  3. Ming Zeng, Haoxiang Gao, Tong Yu, Ole J. Mengshoel, Helge Langseth, Ian Lane, and Xiaobing Liu. 2018. Understanding and improving recurrent networks for human activity recognition by continuous attention. In Proceedings of the 2018 ACM International Symposium on Wearable Computers (ISWC '18). ACM, New York, NY, USA. PDF.

22nd November 2019: On Device Machine Learning.

  1. Kusupati, Aditya and Singh, Manish and Bhatia, Kush and Kumar, Ashish and Jain, Prateek and Varma, Manik. FastGRNN: A Fast, Accurate, Stable and Tiny Kilobyte Sized Gated Recurrent Neural Network. In Advances in Neural Information Processing Systems 31 (NIPS 2018). PDF.
  2. Biyi Fang, Xiao Zeng, and Mi Zhang. 2018. NestDNN: Resource-Aware Multi-Tenant On-Device Deep Learning for Continuous Mobile Vision. In Proceedings of the 24th Annual International Conference on Mobile Computing and Networking (MobiCom '18). ACM, New York, NY, USA. PDF.
  3. Shuochao Yao, Yiran Zhao, Huajie Shao, Aston Zhang, Chao Zhang, Shen Li, and Tarek Abdelzaher. 2018. RDeepSense: Reliable Deep Mobile Computing Models with Uncertainty Estimations. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Volume 1 Issue 4. 2018 PDF.

29th November 2019: Backscatter Communication, Battery Free and Energy Harvesting Devices.

  1. Nivedita Arora, Steven L. Zhang, Fereshteh Shahmiri, Diego Osorio, Yi-Cheng Wang, Mohit Gupta, Zhengjun Wang, Thad Starner, Zhong Lin Wang, and Gregory D. Abowd. 2018. SATURN: A Thin and Flexible Self-powered Microphone Leveraging Triboelectric Nanogenerator. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 2, 2, Article 60 (July 2018). PDF.
  2. Seulki Lee, and Shahriar Nirjon. Neuro.ZERO: A Zero-Energy Neural Network Accelerator for Embedded Sensing and Inference Systems. In the 17th ACM Conference on Embedded Networked Sensor Systems (SenSys '19), 12 pg, November 2019. New York, NY. PDF.
  3. Junsu Jang and Fadel Adib. 2019. Underwater backscatter networking. In Proceedings of the ACM Special Interest Group on Data Communication (SIGCOMM '19). ACM, New York, NY, USA, 187-199. PDF.

20th Januanry 2020: New Sensing Modalities.

  1. Ke Sun, Ting Zhao, Wei Wang, and Lei Xie. 2018. VSkin: Sensing Touch Gestures on Surfaces of Mobile Devices Using Acoustic Signals. In Proceedings of the 24th Annual International Conference on Mobile Computing and Networking (MobiCom '18). ACM, New York, NY, USA. PDF.
  2. hichao Yue and Dina Katabi. 2019. Liquid Testing with Your Smartphone. In Proceedings of the 17th Annual International Conference on Mobile Systems, Applications, and Services (MobiSys '19). ACM, New York, NY, USA. PDF.
  3. Ali Kiaghadi, Morgan Baima, Jeremy Gummeson, Trisha Andrew, and Deepak Ganesan. 2018. Fabric as a Sensor: Towards Unobtrusive Sensing of Human Behavior with Triboelectric Textiles. In Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems (SenSys '18), Gowri Sankar Ramachandran and Bhaskar Krishnamachari (Eds.). ACM, New York, NY, USA. PDF.

27th January 2020: Urban Mobility and Human Mobility Modelling.

  1. Jie Feng, Yong Li, Chao Zhang, Funing Sun, Fanchao Meng, Ang Guo, and Depeng Jin. 2018. DeepMove: Predicting Human Mobility with Attentional Recurrent Networks. In Proceedings of the 2018 World Wide Web Conference (WWW '18). International World Wide Web Conferences Steering Committee, Geneva, Switzerland. PDF.
  2. Zidong Yang, Ji Hu, Yuanchao Shu, Peng Cheng, Jiming Chen, and Thomas Moscibroda. 2016. Mobility Modeling and Prediction in Bike-Sharing Systems. In Proceedings of the 14th Annual International Conference on Mobile Systems, Applications, and Services (MobiSys '16). ACM, New York, NY, USA. PDF.
  3. Zhang, Junbo and Zheng, Yu and Qi, Dekang and Li, Ruiyuan and Yi, Xiuwen and Li, Tianrui. Predicting citywide crowd flows using deep spatio-temporal residual networks. Artificial Intelligence. 2018. V. 258. Pages 147--166. PDF.

3rd February 2020: Mobile Health.

  1. Chen-Yu Hsu, Aayush Ahuja, Shichao Yue, Rumen Hristov, Zachary Kabelac, and Dina Katabi. 2017. Zero-Effort In-Home Sleep and Insomnia Monitoring using Radio Signals. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 1, 3, Article 59 (September 2017). PDF.
  2. Nam Bui, Nhat Pham, Jessica Jacqueline Barnitz, Phuc Nguyen, Hoang Truong, Taeho Kim, Anh Nguyen, Zhanan Zou, Nicholas Farrow, Jianliang Xiao, Robin Deterding, Thang Dinh, Tam Vu. eBP: A Wearable System For Frequent and Comfortable Blood Pressure Monitoring From User’s Ear. Proc. ACM International Conference on Mobile Computing and Networking (Mobicom '19). ACM, New York, NY, USA. PDF.
  3. Bhanu Teja Gullapalli, Annamalai Natarajan, Gustavo A. Angarita, Robert T. Malison, Deepak Ganesan, and Tauhidur Rahman. 2019. On-body Sensing of Cocaine Craving, Euphoria and Drug-Seeking Behavior Using Cardiac and Respiratory Signals. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 3, 2, Article 46 (June 2019). PDF.
  4. Hanbin Zhang, Chen Song, Aosen Wang, Chenhan Xu, Dongmei Li, and Wenyao Xu. 2019. PDVocal: Towards Privacy-preserving Parkinson's Disease Detection using Non-speech Body Sounds. In The 25th Annual International Conference on Mobile Computing and Networking (MobiCom '19). PDF.