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<!DOCTYPE html>
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<h1> CPD 2023 </h1>
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<li><a class="page-scroll" href="#section-intro">About</a></li>
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<!-- <div class="event-date">October 8, 2023, Cancun, Mexico and virtual (all over the world)</div> -->
<div class="event-date">October 8, 2023, Cancun</div>
<h1>Combining Physical and Data-Driven Knowledge in Ubiquitous Computing </h1>
<p class="lead">
<strong>
Ubicomp 2023 Workshop
</strong>
</p>
<!-- <button type="button" class="btn btn-default btn-lg">STAY IN THE LOOP</button> -->
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<!-- .Jumbotron-->
<section id="section-intro" class="section-wrapper about-event">
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<div class="col-md-12">
<h1>ABOUT THE WORKSHOP</h1>
<p class="lead">
With the proliferation of connected devices with advanced sensing, computing, and communication capabilities, ubiquitous computing systems have become prevalent nowadays. They have the potential to revolutionize various industries by enabling new applications and services (e.g., patient monitoring, personalized recommendations, traffic control, home energy management). However, in real-world ubiquitous computing systems, data collection can be expensive or impossible. Due to the limited quantity and quality of data available, pure data-driven methods may not perform well. A promising approach to overcome these limitations is to utilize physical knowledge, including domain knowledge from experts, heuristics based on experience, and analytic models of physical phenomena.
</p>
</div>
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<strong>Eventas, Inc.</strong><br>
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San Francisco, CA 94103<br>
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<h1>CALL FOR PAPER</h1>
<p class="lead">The theme of this workshop is to advance the theoretical understanding, algorithmic development and system implementations of ubiquitous computing systems that integrate physical knowledge with data-driven methods. The workshop will provide an inclusive gathering for researchers and practitioners from various fields and facilitate future collaborations. The overall goal is to grow the community who are dedicated to improving ubiquitous computing systems by fusing physical knowledge into data-driven methods. The workshop welcomes research papers as well as position papers.
<li><b>The accepted paper will be published in the ACM Digital Library with the proceedings of UbiComp 2023. </b></li>
<li><b>The accepted papers may be selected for a fast-track submission to
(1) Digital Signal Processing: A Review Journal; and
(2) Intelligent and Converged Networks, with at least 30% contribution on novelty.
</b></li>
</p>
<h2>Topics of Interests</h2>
<b>Topics of interests include, but are not limited to:</b>
<ul class="lead">
<li>- Innovations in learning algorithms that combine physical knowledge or models for sensor perception and understanding
</li>
<li>- Experiences, challenges, analysis, and comparisons of sensor data in terms of its physical properties
</li>
<li>- Sensor data processing to improve learning accuracy
</li>
<li>- Machine learning and deep learning with physical knowledge on sensor data
</li>
<li>- Mobile and pervasive systems that utilize physical knowledge to enhance data acquisition
</li>
<li>- System services such as time and location estimation enhanced by additional physical knowledge
</li>
<li>- Heterogeneous collaborative sensing based on physical rules
</li>
<li>- Distributed sensing for cyber-physical systems
</li>
<li>- Advanced machine learning algorithms and solutions for efficient sensing
</li>
</ul>
<b>The application areas include but not limited to:</b>
<ul class="lead">
<li>- Human-centric sensing </li>
<li>- Environmental and structural monitoring </li>
<li>- Smart cities </li>
<li>- Health, wellness and medical </li>
<li>- Smart energy systems</li>
<li>- Intelligent transportation networks </li>
</ul>
<p class="lead">
Authors must cite and relate their submissions to relevant prior publications of their own. If applicable, ethical approval for experiments with human subjects should be demonstrated as part of the submission.
</p>
<h2>Important Dates</h2>
<!-- <p class="lead">Submission Deadline: June 15, 2023 (AoE) </p> -->
<p class="lead">Submission Deadline: <s style="color:red">June 15, 2023 (AoE)</s> June 22, 2023 (AoE)</a></p>
<p class="lead">Notification of acceptance: June 30, 2023</p>
<p class="lead">Deadline of camera-ready papers: July 31, 2023</p>
<p class="lead">Workshop: October 8, 2023</p>
<h2>Submission Guidelines</h2>
<p class="lead">Submissions can be made at <b><a href= "https://new.precisionconference.com/sigchi">PCS</a></b>.</p>
<!--The workshop proposal page can be found via: SIGCHI -> UbiComp/ISWC 2023 -> UbiComp/ISWC 2023 Workshop Proposals. -->
<p class="lead">Please submit short papers that are at most <b>5 single-spaced 8.5” x 11” pages</b>, 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.</p>
<p class="lead"><b>ACM Template can be found <a href="https://www.ubicomp.org/ubicomp-iswc-2023/authors/formatting/">here.</a></b></p>
<!-- <p class="lead">The accepted paper will be published in the proceedings with Ubicomp papers this year.</p> -->
</div>
</div>
</div>
</section>
<section id="section-speaker" class="section-wrapper team">
<div class="container">
<div class="row">
<div class="col-md-12">
<div class="section-title">
<h1>ORGANIZERS</h1>
</div>
</div>
</div>
<div class="row">
<div class="col-md-12">
<div>
<h2>Workshop Chairs</h2>
</div>
</div>
<div class="col-sm-6 col-md-4">
<figure class="thumbnail">
<!-- <a href="#"><img src="img/img-team-2.jpg" class="img-responsive" alt="Image"></a> -->
<figcaption class="caption text-center">
<h3><a href="https://yuanzhangxiao.github.io/">Yuanzhang Xiao</a>
<small>University of Hawaii at Manoa</small>
</h3>
</figcaption>
</figure>
</div>
<div class="col-sm-6 col-md-4">
<figure class="thumbnail">
<!-- <a href="#"><img src="img/img-team-1.jpg" class="img-responsive" alt="Image"></a> -->
<figcaption class="caption text-center">
<h3><a href="https://sites.google.com/site/jiexuhomepage/">Jie Xu</a>
<small>University of Miami</small>
</h3>
</figcaption>
</figure>
</div>
</div>
<!-- .row -->
<div class="row">
<div class="col-md-12">
<div>
<h2>Advising Committee</h2>
</div>
</div>
</div>
<div class="row">
<div class="col-md-12">
<div>
<h2>Workshop TPC Chairs</h2>
</div>
</div>
<div class="col-sm-6 col-md-4">
<figure class="thumbnail">
<!-- <a href="#"><img src="img/img-team-2.jpg" class="img-responsive" alt="Image"></a> -->
<figcaption class="caption text-center">
<h3><a href="https://jwwthu.github.io/">Weiwei Jiang</a>
<small>Beijing University of Posts and Telecommunications</small>
</h3>
</figcaption>
</figure>
</div>
<div class="col-sm-6 col-md-4">
<figure class="thumbnail">
<!-- <a href="#"><img src="img/img-team-2.jpg" class="img-responsive" alt="Image"></a> -->
<figcaption class="caption text-center">
<h3><a href="https://sites.pitt.edu/~alavi/">Amir H. Alavi</a>
<small>University of Pittsburgh</small>
</h3>
</figcaption>
</figure>
</div>
</div>
<div class="row">
<div class="col-md-12">
<div>
<h2>Technical Programm Committee</h2>
</div>
</div>
<div class="col-sm-6 col-md-4">
<figure class="thumbnail">
<!-- <a href="#"><img src="img/img-team-1.jpg" class="img-responsive" alt="Image"></a> -->
<figcaption class="caption text-center">
<h3><a href="https://liusc1028.github.io/sicongliu.html">Sicong Liu</a>
<small>Xiamen University</small>
</h3>
</figcaption>
</figure>
</div>
<div class="col-sm-6 col-md-4">
<figure class="thumbnail">
<!-- <a href="#"><img src="img/img-team-1.jpg" class="img-responsive" alt="Image"></a> -->
<figcaption class="caption text-center">
<h3><a href="http://susu-xu.com/">Susu Xu</a>
<small>Stony Brook University</small>
</h3>
</figcaption>
</figure>
</div>
<div class="col-sm-6 col-md-4">
<figure class="thumbnail">
<!-- <a href="#"><img src="img/img-team-1.jpg" class="img-responsive" alt="Image"></a> -->
<figcaption class="caption text-center">
<h3><a href="http://gavingu.github.io/">Weixi Gu</a>
<small>China Academy of Industrial Internet</small>
</h3>
</figcaption>
</figure>
</div>
<div class="col-sm-6 col-md-4">
<figure class="thumbnail">
<!-- <a href="#"><img src="img/img-team-1.jpg" class="img-responsive" alt="Image"></a> -->
<figcaption class="caption text-center">
<h3><a href="https://ubicomp-cpd.com/2023.html">Shuai Wang</a>
<small>Southeast University</small>
</h3>
</figcaption>
</figure>
</div>
<div class="col-sm-6 col-md-4">
<figure class="thumbnail">
<!-- <a href="#"><img src="img/img-team-1.jpg" class="img-responsive" alt="Image"></a> -->
<figcaption class="caption text-center">
<h3><a href="https://yongpanzou.github.io/">Yongpan Zou</a>
<small>Shenzhen University</small>
</h3>
</figcaption>
</figure>
</div>
<div class="col-sm-6 col-md-4">
<figure class="thumbnail">
<!-- <a href="#"><img src="img/img-team-1.jpg" class="img-responsive" alt="Image"></a> -->
<figcaption class="caption text-center">
<h3><a href="https://sites.google.com/site/aisquaredlab/home">Linqi Song</a>
<small>City University of Hong Kong</small>
</h3>
</figcaption>
</figure>
</div>
<div class="col-sm-6 col-md-4">
<figure class="thumbnail">
<!-- <a href="#"><img src="img/img-team-1.jpg" class="img-responsive" alt="Image"></a> -->
<figcaption class="caption text-center">
<h3><a href="http://ssr-group.net/">Wenbo Ding</a>
<small>Tsinghua University</small>
</h3>
</figcaption>
</figure>
</div>
<div class="col-sm-6 col-md-4">
<figure class="thumbnail">
<!-- <a href="#"><img src="img/img-team-1.jpg" class="img-responsive" alt="Image"></a> -->
<figcaption class="caption text-center">
<h3><a href="https://cse.ucdenver.edu/~lizheng/">Zhengxiong Li</a>
<small>University of Colorado Denver</small>
</h3>
</figcaption>
</figure>
</div>
<div class="col-sm-6 col-md-4">
<figure class="thumbnail">
<!-- <a href="#"><img src="img/img-team-1.jpg" class="img-responsive" alt="Image"></a> -->
<figcaption class="caption text-center">
<h3><a href="https://www.yangle.cc/">Le Yang</a>
<small>Xi’an Jiaotong University</small>
</h3>
</figcaption>
</figure>
</div>
<div class="col-sm-6 col-md-4">
<figure class="thumbnail">
<!-- <a href="#"><img src="img/img-team-1.jpg" class="img-responsive" alt="Image"></a> -->
<figcaption class="caption text-center">
<h3><a href="https://www.xuhailu.com/">Hailu Xu</a>
<small>California State University</small>
</h3>
</figcaption>
</figure>
</div>
<div class="col-sm-6 col-md-4">
<figure class="thumbnail">
<!-- <a href="#"><img src="img/img-team-1.jpg" class="img-responsive" alt="Image"></a> -->
<figcaption class="caption text-center">
<h3><a href="https://www.acsu.buffalo.edu/~yincheng/">Yincheng Jin</a>
<small>University at Buffalo</small>
</h3>
</figcaption>
</figure>
</div>
<div class="col-sm-6 col-md-4">
<figure class="thumbnail">
<!-- <a href="#"><img src="img/img-team-1.jpg" class="img-responsive" alt="Image"></a> -->
<figcaption class="caption text-center">
<h3><a href="https://www.yyang.site/">Yu Yang</a>
<small>Lehigh University</small>
</h3>
</figcaption>
</figure>
</div>
<div class="col-sm-6 col-md-4">
<figure class="thumbnail">
<!-- <a href="#"><img src="img/img-team-1.jpg" class="img-responsive" alt="Image"></a> -->
<figcaption class="caption text-center">
<h3><a href="https://ubicomp-cpd.com/2023.html">Miao He</a>
<small>Yanqi Lake Beijing Institute of Mathematical Sciences and Applications</small>
</h3>
</figcaption>
</figure>
</div>
<div class="col-sm-6 col-md-4">
<figure class="thumbnail">
<!-- <a href="#"><img src="img/img-team-1.jpg" class="img-responsive" alt="Image"></a> -->
<figcaption class="caption text-center">
<h3><a href="https://ubicomp-cpd.com/2023.html">Tan Li</a>
<small>City University of Hong Kong</small>
</h3>
</figcaption>
</figure>
</div>
<div class="col-sm-6 col-md-4">
<figure class="thumbnail">
<!-- <a href="#"><img src="img/img-team-1.jpg" class="img-responsive" alt="Image"></a> -->
<figcaption class="caption text-center">
<h3><a href="https://www.weitaoxu.com/">Weitao Xu</a>
<small>City University of Hong Kong</small>
</h3>
</figcaption>
</figure>
</div>
<div class="col-sm-6 col-md-4">
<figure class="thumbnail">
<!-- <a href="#"><img src="img/img-team-1.jpg" class="img-responsive" alt="Image"></a> -->
<figcaption class="caption text-center">
<h3><a href="https://www.linkedin.com/in/raysheriff/">Ray E. Sheriff</a>
<small>Edge Hill University</small>
</h3>
</figcaption>
</figure>
</div>
<div class="col-sm-6 col-md-4">
<figure class="thumbnail">
<!-- <a href="#"><img src="img/img-team-2.jpg" class="img-responsive" alt="Image"></a> -->
<figcaption class="caption text-center">
<h3><a href="https://jwwthu.github.io/">Weiwei Jiang</a>
<small>Beijing University of Posts and Telecommunications</small>
</h3>
</figcaption>
</figure>
</div>
<div class="col-sm-6 col-md-4">
<figure class="thumbnail">
<!-- <a href="#"><img src="img/img-team-2.jpg" class="img-responsive" alt="Image"></a> -->
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<h3><a href="https://sites.pitt.edu/~alavi/">Amir H. Alavi</a>
<small>University of Pittsburgh</small>
</h3>
</figcaption>
</figure>
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<h3><a href="http://tns.thss.tsinghua.edu.cn/~jingao/">Jingao Xu</a>
<small>Tsinghua University</small>
</h3>
</figcaption>
</figure>
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<div class="col-sm-6 col-md-4">
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<h3><a href="https://scholar.google.com/citations?user=E7MXjIAAAAAJ&hl=en">Man Zhou</a>
<small>Huazhong University of Science and Technology</small>
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</figcaption>
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<h3><a href="https://scholar.google.com.tw/citations?user=sLRuvDQAAAAJ&hl=en">Marzieh Khakifirooz</a>
<small>Tecnológico de Monterrey</small>
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<h3><a href="">Tao Sun</a>
<small>Peng Cheng Laboratory</small>
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<h3><a href="">Achyut Shankar</a>
<small>University of Warwick</small>
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<h2>Web Chairs</h2>
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<h3><a href="https://letian-zhang.github.io/">Letian Zhang</a>
<small>Middle Tennessee State University</small>
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<h2>Publicity Chair</h2>
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<h1>AGENDA</h1>
<h2>8th October 2023 (Eastern Standard Time)</h2>
</div>
<h2>Oral Session 1 (8:30 AM - 10:10 AM): Sensing</h2>
<div>
<h3><b>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.</b></h3>
<br>
</div>
<div>
<h3><b>8:30-8:50 </b>CaliFormer: Leveraging Unlabeled Measurements to Calibrate Sensors with Self-supervised Learning</h3>
<h4>Haoyang Wang, Tsinghua University, Yuxuan Liu, Tsinghua Berkeley Shenzhen Institute, Chenyu Zhao, Tsinghua University, Jiayou He, Hong Kong University of Science and Technology, Wenbo Ding, Tsinghua University and Pengcheng Lab, and Xinlei Chen, Tsinghua University and Pengcheng Lab.</h4>
<h3><b>08:50-09:10 </b>SolareSkin: Self-powered Visible Light Sensing Through a Solar Cell E-Skin</h3>
<h4>Jiarong Li, Tsinghua-Berkeley Shenzhen Institute, Tsinghua University, Peng Cheng Laboratory, Changshuo Ge, Tsinghua University, Jun Tao, Tsinghua University, Jingyang Wang, Tsinghua University, Xiaomin Xu, Tsinghua University andTsinghua-Berkeley Shenzhen Institute, Xinlei Chen, Tsinghua University and Peng Cheng Laboratory, Weihua Gui, Central South University andPeng Cheng Laboratory, Xiaojun Liang, Peng Cheng Laboratory, and Wenbo Ding Tsinghua-Berkeley Shenzhen Institute, Tsinghua University, and Peng Cheng Laboratory.</h4>
<h3><b>09:10-09:30 </b>A Wireless Integrated System with Hybrid Embedded Sensing for the Continuous Monitoring of Bird Flight</h3>
<h4>Shilong Mu, Tsinghua-Berkeley Shenzhen Institute, Ho Ngai Chow, Tsinghua University, Mi Zhou, Tsinghua-Berkeley Shenzhen Institute, Runze Zhao Tsinghua University, Kai Chong Lei, Tsinghua University, Zihan Geng, Tsinghua University, Yuxing Han Tsinghua-Berkeley Shenzhen Institute, and Wenbo Ding, Tsinghua-Berkeley Shenzhen Institute.</h4>
<h3><b>09:30-09:50 </b>Field Reconstruction-Based Non-Rendezvous Calibration for Mobile Air Pollution Sensors</h3>
<h4>Ji Luo, Tsinghua-Berkeley Shenzhen Institute, Yiling Hu, Shenzhen Environmental Thinking Science and Technology (ETST) Company Ltd., Chengzhao Yu, Tsinghua-Berkeley Shenzhen Institute, Chaopeng Hong, Tsinghua University, Xiao-Ping Zhang, Tsinghua University, and Xinlei Chen, Tsinghua University and Pengcheng Lab.</h4>
<h3><b>09:50-10:10 </b>WSTac: Interactive Surface Perception based on Whisker-Inspired and Self-Illuminated Vision-Based Tactile Sensor</h3>
<h4>Kai Chong Lei, Tsinghua University, Kit Wa Sou, Tsinghua-Berkeley Shenzhen Institute, Wang Sing Chan, Tsinghua-Berkeley Shenzhen institute, Jiayi Yan, Tsinghua University, Siqi Ping, Tsinghua-Berkeley Shenzhen Institute, Dengfeng Peng, Shenzhen University, Wenbo Ding, Tsinghua-Berkeley Shenzhen Institute, and Xiao-Ping Zhang, Tsinghua University.</h4>
<br>
</div>
<h3>5-min break</h3>
<h2>Oral Session 2 (10:15 AM - 11:35 AM): Machine Learning I — Forecasting and Classification</h2>
<div>
<h3><b>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.</b></h3>
<br>
</div>
<div>
<h3><b>10:15-10:35 </b>LSTM Based Short-Term Data Center Electrical Consumption Forecasting</h3>
<h4>Feiyang Chen, The Chinese University of Hong Kong, Shenzhen, Chenye Wu, The Chinese University of Hong Kong, Shenzhen, Jiasheng Zhang, Tsinghua University, and Guanchi Liu, Tencent Inc.</h4>
<h3><b>10:35-10:55 </b>Data Center Peak Electrical Demand Forecasting: A Multi-Feature SARIMA-LSTM Model</h3>
<h4>Zeyu Yang, The Chinese University of Hong Kong, Shenzhen, Chenye Wu, The Chinese University of Hong Kong, Shenzhen, Guanchi Liu, Tencent Inc., and Jiasheng Zhang, Tsinghua University.</h4>
<h3><b>10:55-11:15 </b>Cross-domain Feature Distillation Framework for Enhancing Classification in Ear-EEG Brain-Computer Interfaces</h3>
<h4>Ying Sun, Beihang University, Xiaolin Liu, Beihang University, ui Na, Beijing Institute of Technology, Shuai Wang, Beihang University, Dezhi Zheng, Beihang university, and Shangchun Fan, Beihang University.</h4>
<h3><b>11:15-11:35 </b>Machine Learning-based Multi-Class Traffic Management for Smart Grid Communication Network</h3>
<h4>Weiwei Jiang Beijing University of Posts and Telecommunications, Haoyu Han, Beijing University of Posts and Telecommunications, Miao He, Yanqi Lake Beijing Institute of Mathematical Sciences and Applications, and Weixi Gu, China Academy of Industrial Internet.</h4>
<br>
</div>
<h3>5-min break</h3>
<h2>Oral Session 3 (11:40 AM - 01:20 PM): Machine Learning II — Reinforcement Learning and Federated Learning</h2>
<div>
<h3><b>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.</b></h3>
<br>
</div>
<div>
<h3><b>11:40-12:00 </b>Ground-to-air Heterogeneous Data Communication for Disaster-Response by Attention-based Graph Reinforcement Learning</h3>
<h4>Jiyuan Ren S, Tsinghua University, Yanggang Xu, Tsinghua University, Zuxin Li, Tsinghua-Berkeley Shenzhen Institute, Chaopeng Hong, Tsinghua University, Xiao-Ping Zhang, Tsinghua University, and Xinlei Chen, Tsinghua University and Pengcheng Lab.</h4>
<h3><b>12:00-12:20 </b>SmoothLander: A Quadrotor Landing Control System with Smooth Trajectory Guarantee Based on Reinforcement Learning</h3>
<h4>Chenyu Zhao, Tsinghua University, Haoyang Wang, Tsinghua University, Jiaqi Li, Tsinghua University, Fanhang Man, Tsinghua-Berkeley Shenzhen Institute, Shilong Mu, Tsinghua-Berkeley Shenzhen Institute, Wenbo Ding, Tsinghua-Berkeley Shenzhen Institute, Xiao-Ping Zhang, Tsinghua University, Xinlei Chen, Tsinghua University and Pengcheng Lab.</h4>
<h3><b>12:20-12:40 </b>Cooperative Multi-Type Multi-Agent Deep Reinforcement Learning for Resource Management in Space-Air-Ground Integrated Networks</h3>
<h4>Hengxi Zhang, Tsinghua University, Huaze Tang, Tsinghua University, Wenbo Ding, Tsinghua-Berkeley Shenzhen Institute, and Xiao-Ping Zhang, Tsinghua University and Ryerson University.</h4>
<h3><b>12:40-01:00 </b>Inclusive Data Representation in Federated Learning: A Novel Approach Integrating Textual and Visual Prompt</h3>
<h4>Zihao Zhao, Tsinghua-Berkeley Shenzhen Institute, Zhenpeng Shi, Tsinghua University, Yang Liu, Institute for AI Industry Research, and Wenbo Ding, Tsinghua-Berkeley Shenzhen Institute.</h4>
<h3><b>01:00-01:20 </b>Client Clustering for Energy-Efficient Clustered Federated Learning in Wireless Networks</h3>
<h4>Jieming Bian, University of Miami and Jie Xu, University of Miami.</h4>
<br>
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<!--h2>Keynote Speech (9:00-9:40)</h2-->
<!--h3>TBD</h3-->
<!--h3>Efficient On-Device Deep Learning: towards Ubiquitous Intelligence on the Edge</h3-->
<!--h4>Speaker: <a href="https://yunxinliu.github.io/">Prof. Yunxin Liu, Tsinghua University</a></h4-->
<!--p class="lead"> Abstract: With the advances of hardware, software, and artificial intelligence (AI), there is a new computing paradigm shift from centralized intelligence in the cloud to distributed intelligence on the edge. In the era of edge computing, it is critical to infuse AI to empower diverse edge devices and applications. This talk overviews the challenges and opportunities of on-device deep learning and introduces our recent research work on making on-device deep-learning more efficient, focusing on how to build affordable AI models customized for diverse edge devices and how to maximize the performance of on-device model inference by fully utilizing the heterogeneous computing resources.</p-->
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<!-- <h2>TBD</h2> -->
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<h3><b>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.</b></h3>
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<!-- <h3><b>8:30-8:50 </b>TRACT: Towards Large-Scale Crowdsensing With High-Efficiency Swarm Path Planning</h3> -->
<!-- <h4>Presenter: Zuxin Li, Tsinghua-Berkeley Shenzhen Institute</h4> -->
<!-- <h3><b>8:50-09:10 </b>Multimodal Surface Sensing based on Hybrid Flexible Triboelectric and Piezoresistive Sensor</h3> -->
<!-- <h4>Presenter: Zenan Lin, Tsinghua-Berkeley Shenzhen Institute</h4> -->
<!-- <h3><b>09:10-09:30 </b>EmoTracer: A Wearable Physiological and Psychological Monitoring System With Multi-modal Sensors</h3> -->
<!-- <h4>Presenter: Danyang Wang, Shenzhen University</h4> -->
<!-- <h3><b>9:30-9:50 </b>Design of High Sensitivity Interdigital Capactive Humidity Sensor Based on Uncertainty Analysis</h3> -->
<!-- <h4>Presenter: Dapeng Li, Beihang University</h4> -->
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<!-- <h3>5-min break</h3>
<h2>Oral Session 2 (9:55-11:15): Privacy and Security</h2>
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<h3><b>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.</b></h3>
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<h3><b>9:55-10:15 </b>Privacy-Preserving Cooperative Visible Light Positioning for Nonstationary Environment: A Federated Learning Perspective</h3>
<h4>Presenter: Tiankuo Wei, Xiamen University</h4>
<h3><b>10:15-10:35 </b>Privacy-preserved Intermediate Feature Compression for Cyber-Physical Systems</h3>
<h4>Presenter: Zixi Wang, Xi'an Jiaotong University</h4>
<h3><b>10:35-10:55 </b>MobileKey: A Fast and Robust Key Generation System for Mobile Devices</h3>
<h4>Presenter: Keqi Song, City University of Hong Kong</h4>
<h3><b>10:55-11:15 </b>Anomaly Detection based on Broad Leaning System for Rolling Element Bearing Fault Diagnosis</h3>
<h4>Presenter: Le Yang, Xi'an Jiaotong University</h4>
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<!-- <h3>5-min break</h3>
<h2>Oral Session 3 (11:20-12:40): Learning for Wireless Systems</h2> -->
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<h3><b>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.</b></h3>
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<!-- <h3><b>11:20-11:40 </b>Power and Interference Control for VLC-Based UDN: A Reinforcement Learning Approach</h3> -->
<!-- <h4>Presenter: Xiao Tang, Xiamen University</h4> -->
<!-- <h3><b>11:40-12:00 </b>Incentivizing Mobility of Multi-agent Vehicle Swarms with Deep Reinforcement Learning for Sensing Coverage Optimization</h3> -->
<!-- <h4>Presenter: Mohib Azam, Stony Brook University</h4> -->
<!-- <h3><b>12:00-12:20 </b>Federated Capsule Graph Neural Network with Personalization</h3> -->
<!-- <h4>Presenter: Meilin Yang, Tsinghua-Berkeley Shenzhen Institute</h4> -->
<!-- <h3><b>12:20-12:40 </b>DeliverSense: Efficient Delivery Drone Scheduling for Crowdsensing with Deep Reinforcement Learning</h3> -->
<!-- <h4>Presenter: Xuecheng Chen, Tsinghua-Berkeley Shenzhen Institute</h4> -->
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<h1>THE VENUE</h1>
<p>The CPD 2023 workshop is part of Ubicomp 2023, which will be held at Cancun.</p>
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<h1>Awards</h1>
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<h2>The Award of Best Paper</h2>
<div>
<h3>Scheduling UAV Swarm with Attention-based Graph Reinforcement Learning for Ground-to-air Heterogeneous Data Communication
</h3>
<h4>Authors: Jiyuan Ren, Yanggang Xu, Zuxin Li, Chaopeng Hong, Xiao-Ping Zhang, Xinlei Chen
</h4>
<br>
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<h2>The Award of Best Paper Runner-Up</h2>
<div>
<h3>Inclusive Data Representation in Federated Learning: A Novel Approach Integrating Textual and Visual Prompt
</h3>
<h4>Authors: Zihao Zhao, Zhenpeng Shi, Yang Liu, and Wenbo Ding
</h4>
<br>
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<h2>The Award of Best Presentation</h2>
<div>
<h3>CaliFormer: Leveraging Unlabeled Measurements to Calibrate Sensors with Self-supervised Learning
</h3>
<h4>Authors: Haoyang Wang, Yuxuan Liu, Chenyu Zhao, Jiayou He, Wenbo Ding, and Xinlei Chen
</h4>
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