September 15, 2022, Atlanta, USA and virtual (all over the world)

Combining Physical and Data-Driven Knowledge in Ubiquitous Computing

Ubicomp 2022 Workshop

ABOUT THE WORKSHOP

In the real-world ubiquitous computing systems, it is difficult to require a significant amount of data to obtain accurate information through pure data-driven methods. The performance of data-driven methods relies on the quantity and ‘quality’ of data. They perform well when a sufficient amount of data is available, which is regarded as ideal conditions. However, in real-world systems, collecting data can be costly or impossible due to practical limitations. On the other hand, it is promising to utilize physical knowledge to alleviate these issues of data limitation. The physical knowledge includes domain knowledge from experts, heuristics from experiences, analytic models of the physical phenomena and etc.

CALL FOR PAPER

The goal of the workshop is to explore the intersection between (and the combination of) data and physical knowledge. The workshop aims to bring together domain experts that explore the physical understanding of the data, practitioners that develop systems and the researchers in traditional data-driven domains. The workshop welcomes papers, which focuses on addressing these issues in different applications/domains as well as algorithmic and systematic approaches to applying physical knowledge. Therefore, we further seek to develop a community that systematically analyzes the data quality regarding inference and evaluates the improvements from physical knowledge. Preliminary and on-going work is welcomed.

  • The accepted papers are invited to be extended for a journal fast-track submission at (1) Digital Signal Processing: A Review Journal; and (2) Intelligent and Converged Networks with at least 30% contribution on novelty
  • Topics of Interests

    Topics of interests include, but are not limited to, the follows:
    • - Innovations in learning algorithms that combine physical knowledge or models for sensor perception and understanding
    • - Experiences, challenges, analysis, and comparisons of sensor data in terms of its physical properties
    • - Sensor data processing to improve learning accuracy
    • - Machine learning and deep learning with physical knowledge on sensor data
    • - Mobile and pervasive systems that utilize physical knowledge to enhance data acquisition
    • - System services such as time and location estimation enhanced by additional physical knowledge
    • - Heterogeneous collaborative sensing based on physical rules
    • - Distributed sensing for cyber-physical systems
    • - Advanced machine learning algorithms and solutions for efficient sensing
    The application areas include but not limited to:
    • - Human-centric sensing applications
    • - Environmental and structural monitoring
    • - Smart cities and urban health
    • - Health, wellness and medical
    • - Smart energy systems and intelligent transportation networks

    Successful submissions will explain why the topic is relevant to the data limitation caused problem that may be solved through the physical understanding of domain knowledge. In addition to citing relevant, published work, authors must cite and relate their submissions to relevant prior publications of their own. Ethical approval for experiments with human subjects should be demonstrated as part of the submission.

    Important Dates

    Submission Deadline: July 29, 2022 August 5, 2022

    Notifications: August 21, 2022

    Camera-ready: TBD

    Workshop: September 15, 2022

    Submission Guidelines

    Submissions can be made at PCS.

    Please submit short papers that are at most 5 single-spaced 8.5” x 11” pages, including figures and tables, but excluding references, two-column format, using 10-point type on 11-point (tight single-spaced) leading, with a maximum text block of 7” wide x 9” deep with an inter-column spacing of .25”. Submissions may include as many pages as needed for references.

    ACM Template can be found here.

    The accepted paper will be published in the proceedings with Ubicomp papers this year.

    ORGANIZERS

    Workshop Chairs

    Linqi Song City University of Hong Kong

    Zhengxiong Li University of Colorado Denver

    Amir H. Alavi University of Pittsburgh

    Advising Committee

    Wenbo Ding Tsinghua University

    Xinlei Chen Tsinghua University

    Shijia Pan University of California Merced

    Workshop TPC Chairs

    Sicong Liu Xiamen University

    Yongpan Zou Shenzhen University

    Susu Xu Stony Brook University

    Technical Programm Committee

    Yaxiong Xie Princeton University

    Susu Xu Stony Brook University

    Shuai Wang Southeast University

    Weitao Xu City University of Hong Kong

    Shijia Pan University of California Merced

    Sicong Liu Xiamen University

    Amir H. Alavi University of Pittsburgh

    Yongpan Zou Shenzhen University

    Linqi Song City University of Hong Kong

    Wenbo Ding Tsinghua University

    Zhengxiong Li University of Colorado Denver

    Xinlei Chen Tsinghua University

    Chenglin Miao University of Georgia

    Hailu Xu California State University, Long Beach

    Yidan Hu Rochester Institute of Technology

    Yinchen Jin University at Buffalo

    Qianyi Huang Shaanxi University of Science & Technology

    Zimu Zhou Singapore Management University

    Chengwen Luo Shenzhen University

    Man Zhou Huazhong University of Science and Technology

    Yu Yang Lehigh University

    Wenchuan Wei University of California San Diego

    Yuchong Zhang Chalmers University of Technology

    Web Chairs

    Guangfeng Yan City University of Hong Kong

    Xiaoming Xue City University of Hong Kong

    Publicity Chair

    TBD TBD

    AGENDA

    15th September 2022 (UTC+8)

    Keynote Speech (9:00-9:40)

    TBD


    Oral Session 1 (9:40-11:40)

    All presenters need to enter the online conference room at least 10 minutes in advance, and ensure all the audio and video devices are working properly.


    TBD


    Oral Session 2 (13:00-17:20)

    All presenters need to enter the online conference room at least 10 minutes in advance, and ensure all the audio and video devices are working properly.


    TBD


    THE VENUE

    The CPD 2022 workshop is part of Ubicomp 2022, which will be held at Atlanta.

    Online Conference Room (Main)

    ZOOM

    Room number : To be announced

    Password : NA

    Click to add to your conference list

    Backup Conference Room

    Only activated when ZOOM is not available

    VOOV/Tencent Meeting(VooV)
    Room number : To be announced
    Click to add to your conference list