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News

• 11/2018, Our paper "Joint Mobility Pattern Mining with Urban Region Partitions" won the Best Paper Award in MobiQuitous 2018 !
• 06/2018, My Ph.D Thesis was hornerd as Distinguished Thesis of Tsinghua University, China !
• 06/2018, I was hornerd as 2018 Outstanding Graduate Ph.D of Beijing, China !

Short Bio

Weixi Gu currently is a postdoc researcher in University of California, Berkeley, co-headed by Prof. Costas J. Spanos and Prof. Khalid M. Mosalam. He received Ph.D. Degree of Electric Engineering from Tsinghua University, headed by Prof. Lin Zhang. He is also a visiting Ph.D Student in University of California, Berkeley. He received his Master Degree in the School of Software, Tsinghua University, under supervision of Prof. Yunhao Liu. He received his B.E. in Department of Electric Engineering and Computer Science, Shanghai Jiaotong University, China.

Research Interests

• High-dimensional Data Processing and Analysis
• Machine learning
• Mobile and Ubiquitous Computing Systems

Patents

• 05/2014: Authentication method and terminal equipment. Publication number: CN103795537 A. [Link]
• 10/2013: Method and system for recognizing position of mobile equipment. Publication number: CN103369135 A. [Link]

Publications (Selected)

(Full Papers are listed in Goolge Scholar)

Conference papers:

1. [Ubicomp-CPD'20] Collaborative Edge-Network Content Replication: A Joint User Preference and Mobility Approach [PDF] ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2020,Mexico,Cancun.
   Ge Ma(China Academy of Industrial Internet), Qiyang Huan (China Academy of Industrial Internet), Weixi Gu* (China Academy of Industrial Internet)
2. [Ubicomp-CPD'20] Relay Strategy in Online Mobile Games: A Data-driven Approach [PDF] ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2020,Mexico,Cancun.
   Guowei Zhu (China Academy of Industrial Internet), Kan Lv (China Academy of Industrial Internet), Ge Ma (China Academy of Industrial Internet), Weixi Gu* (China Academy of Industrial Internet)
3. [MobiQuitous'18]Joint Mobility Pattern Mining with Urban Region Partitions ( Best Paper ) [PDF] In Proceedings of the EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, New York City, United States, Nov. 5 - Nov. 7, 2018
   Jing Lian, Yang Li, Weixi Gu, Shao-Lun Huang, Lin Zhang
4. [AAAI'18] WiFi-Based Human Identification via Convex Tensor Shapelet Learning. [PDF] In Proceedings of AAAI. 2018.
   Han Zou, Yuxun Zhou, Jianfei Yang, Weixi Gu, Lihua Xie, Costas J. Spanos
5. [AAAI'18] Non-Parametric Outliers Detection in Multiple Time Series A Case Study: Power Grid Data Analysis [PDF]In Proceedings of AAAI. 2018.
   Yuxun Zhou, Han Zou, Reza Arghandeh, Weixi Gu, Costas J. Spanos
6. [MobiQuitous'17] BikeMate: Bike Riding Behavior Monitoring with Smartphones [PDF] In Proceedings of the EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, Melbourne, Australia, Nov 07 - Nov 10, 2017
   Weixi Gu, Zimu Zhou, Yuxun Zhou, Han Zou, Yunxin Liu, Costas J. Spanos, Lin Zhang
7. [ICMLA'17] Multiple Kernel Representation Learning for WiFi-Based Human Activity Recognition. [PDF] 2017 16th IEEE International Conference on Machine Learning and Applications
   Han Zou, Yuxun Zhou, Jianfei Yang, Weixi Gu, Lihua Xie, and Spanos Costas.
8. [GlobeCom'17] Freecount: Device-free crowd counting with commodity wifi. [PDF] IEEE Global Communications Conference
   Han Zou, Yuxun Zhou, Jianfei Yang, Weixi Gu, Lihua Xie, and Spanos Costas.
9. [SECON '17] Freedetector: Device-free occupancy detection with commodity wifi. [PDF] Sensing, Communication and Networking
   Han Zou, Yuxun Zhou, Jianfei Yang, Weixi Gu, Lihua Xie, and Spanos Costas.
10. [MobiQuitous'16]MetroEye: Smart Tracking Your Metro Trips Underground ( Best Paper Runner-Up ) [PDF] In Proceedings of the EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, Hiroshima, Japan, Nov 28 - Dec 01, 2016
    Weixi Gu , Ming Jin, Zimu Zhou, Costas J. Spanos, Lin Zhang
11. [Trustcom'14] ToAuth: Towards Automatic Near Field Authentication for Smartphones.( Best Paper ) [PDF] The 13th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, Beijing, China.
    Weixi Gu, Zheng Yang, Longfei Shangguan, Wei Sun, Kun Jin, and Yunhao Liu
12. [Ubicomp'14] Intelligent Sleep Mining Service with Smartphones .[PDF ] ACM International Joint Conference on Pervasive and Ubiquitous Computing, Seattle, USA, 2014.
    Weixi Gu, Zheng Yang, Longfei Shangguan, Wei Sun, Kun Jin, and Yunhao Liu

Journal papers:

1. [IMWUT] SugarMate: Non-intrusive Blood Glucose Monitoring with Smartphones [PDF] In Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, vol.1, no.3, pp.54:1-54:27, 2017, Maui, USA, Sep 11 - Sep 15, 2017
   Weixi Gu, Yuxun Zhou, Zimu Zhou, Xi Liu, Han Zou, Pei Zhang, Costas J. Spanos, Lin Zhang,
2. [TRC] Measuring Fine-grained Metro Interchange Time via Smartphones [PDF] Elsevier Transportation Research Part C: Emerging Technologies, vol.81, pp.153-171
   Weixi Gu, Kai Zhang, Zimu Zhou, Ming Jin, Yuxun Zhou, Xi Liu, Costas J. Spanos, Zuo-Jun (Max) Shen, Wei-Hua Lin, Lin Zhang
3. [TMC] Sleep Hunter: Towards Fine Grained Sleep Stage Tracking with Smartphones [PDF] IEEE Transactions on Mobile Computing, under review, 2014.
   Weixi Gu, Zheng Yang, Longfei Shangguan, and Yunhao Liu
4. [TPDS] Sherlock: Micro-environment Sensing for Smartphones [PDF] IEEE Transactions on Parallel and Distributed Systems, accepted to appear, 2014.
   Zheng Yang, Longfei Shangguan, Weixi Gu, Zimu Zhou, Chenshu Wu, and Yunhao Liu

Posters, Demos, and Ph.D. Forum Abstracts:

1. [UbiComp'19] Identifying Causal Patterns from Mobile Sensing Data: A Case Study on Blood Glucose Inference. [PDF] Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers
   Miao He, Weixi Gu*, Ying Kong and Lin Zhang
2. [SenSys'18] Real-Time Emotion Detection via E-See. [PDF] Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems
   Weixi Gu, Yue Zhang, Fei Ma, Khalid Mosalam, Lin Zhang, and Shiguang Ni
3. [SenSys'18] Multimodal Emotion Recognition by extracting common and modality-specific information[PDF] Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems
   Wei Zhang, Weixi Gu, Fei Ma, Shiguang Ni, Lin Zhang, and Shao-Lun Huang
4. [SenSys'18] Speech Emotion Recognition via Attention-based DNN from Multi-Task Learning [PDF] Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems
   Fei Ma, Weixi Gu, Wei Zhang, Shiguang Ni, Shao-Lun Huang and Lin Zhang
5. [SenSys'18] Attention-based LSTM-CNNs For Time-series Classification [PDF] Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems
   Qianjin Du, Weixi Gu, Lin Zhang, and Shao-Lun Huang
6. [SenSys'17] Predicting Blood Glucose Dynamics with Multi-time-series Deep Learning [PDF] Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems
   Weixi Gu, Zhou, Z., Zhou, Y., He, M., Zou, H. and Zhang, L
7. [IPSN'17] Non-intrusive blood glucose monitor by multi-task deep learning: PhD forum abstract. [PDF] Proceedings of the 16th ACM/IEEE International Conference on Information Processing in Sensor Networks
   Weixi Gu
8. [Ubicomp'17] BikeSafe: bicycle behavior monitoring via smartphones. [PDF] Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers
   Weixi Gu, Yunxin Liu, Yuxun Zhou, Zimu Zhou, Costas J. Spanos, and Lin Zhang
9. [Ubicomp'17] Group recommendation: by mining users' check-in behaviors. [PDF] Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers
   Miao He, Weixi Gu, and Ying Kong
10. [Mobicom'17] WiFi-based Device-Free Human Activity Recognition via Automatic Representation Learning. [PDF] Proceedings of the 23rd Annual International Conference on Mobile Computing and Networking
    Han Zou, Yuxun Zhou, Jianfei Yang,Weixi Gu, Lihua Xie, and Spanos Costas.
11. [Ubicomp'16] MetroEye: towards fine-grained passenger tracking underground. [PDF] Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct
    Weixi Gu, Ming Jin, Zimu Zhou, Costas J. Spanos, and Lin Zhang.

Projects

• SleepHunter
  

  SleepHunter is a mobile service on mining sleep stages during sleep. It detects sleep stage by recording the user's physical activities and sleep environment. The aim of this project lays two fold. In the first, SleepHunter provides the sleep quality to users by the distribution of different sleep stages. Secondly, users can be woken up when SleepHunter detects the user falls in light sleep, which is good for their health.

• Bubbles
  

  Bubbles is a file management mobile service. Users can leverage it to manage files and share files with other users. Moreover, Bubbles can help users to transfer files by creating local network . Four versions of Bubbles have been developed on OS X, iOS, Windows and Android platforms.