November 18, 2024, Washington, D.C., USA

The 7th International Workshop on Physics Embedded AI Solutions in Mobile Computing

MobiCom 2024 Workshop

ABOUT THE WORKSHOP

In the real-world mobile 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. We aim to bring researchers that explore this direction together and search for systematic solutions across various applications.

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.

Topics of Interests

Topics of interests include, but are not limited to:

- 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 & medical
- Smart energy systems and intelligent transportation networks
- Large Language Model and its applications in mobile system

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.

Important Dates

Submission Deadline: ~~July 12, 2024 (AoE)~~ July 19, 2024 (AoE)

Notifications: August 15, 2024

Camera-ready: September 13, 2024

Workshop: November 18, 2024

Submission Guidelines

Submissions must be original, unpublished work, and not currently under consideration elsewhere. Submitted papers must be no longer than five (5) pages, including all figures, tables, followed by 1 page references. Submission should be single PDF file with all fonts embedded, in two-column 10pt ACM format. All submissions must be double-blind and authors must remove all references to their names and affiliations. Prospective authors are encouraged to use the same PDF formatting guidelines as the main conference. Authors of accepted papers are expected to present their work at the workshop. Accepted papers will be published in the MobiCom Workshop Proceedings, and available at the ACM Digital Library.

You may find these templates useful in complying with the above requirements. For Latex users, please use \documentclass[sigconf, 10pt, anonymous]{acmart}. But as an author, you bear the final responsibility to verify (manually or through the above online paper checker) that your submission is format-compliant.

Submission: Picasso 2024 HotCRP

ORGANIZERS

Workshop Chairs

Wenbo Ding Tsinghua University

Zhengxiong Li University of Colorado Denver

Amir H. Alavi University of Pittsburgh

Advising Committee

Hae Young Noh Stanford University

Pei Zhang University of Michigan-Ann Arbor

Workshop TPC Chairs

Susu Xu Johns Hopkins University

Xinlei Chen Tsinghua University

Ishara Dharmasena Loughborough University

Technical Programm Committee

Susu Xu Johns Hopkins University

Di Jin Amazon Alexa AI

Zhengxiong Li University of Colorado Denver

Linqi Song City University of Hong Kong

Yongpan Zou Shenzhen University

Weitao Xu City University of Hongkong

Shijia Pan University of California Merced

Mostafa Mirshekari Stanford University

Shahab Bahrami The University of British Columbia

Marzieh Khakifirooz Tecnológico de Monterrey, Mexico

M. Hadi Amini Florida International University

Roozbeh Jafari Texas A&M University

Pan Hu Stanford University

Miadreza Shafie-khah University of Vaasa

Sicong Liu Xiamen University

Wenbo Ding Tsinghua University

Le Yang Xi’an Jiaotong University

Xinlei Chen Tsinghua University

Yi Ding The University of Texas at Dallas

Yu Yang Lehigh University

Guang Wang Florida State University

Ji Jia Inceptio Technology

AGENDA

Morning Session

11:00 - 12:00 Poster Session

12:00 - 13:00 Lunch Break

Afternoon Session

13:10 - 13:40 Keynote 1: Optical Wireless Communications for the Heterogeneous Networks of Intelligent Transportation

Speaker: Jian Song, Professor, Department of Electronic Engineering, Tsinghua University

13:40 - 14:10 Keynote 2: Multi-Agent Decision Making in the Open World

Speaker: Tian Lan, Professor, Department of Electrical and Computer Engineering, George Washington University

14:10 - 14:20 Coffee Break

Chapter 1: AI and Machine Learning in Applications

14:20 - 14:35 CCCG: Self-supervised Color Constancy with Collaborative Generative Network

Presenter: Chenye Wu

Authors: Ruo Peng (The Chinese University of Hong Kong, Shenzhen), Chenye Wu (The Chinese University of Hong Kong, Shenzhen)

14:35 - 14:50 Energy-based Active Learning for Bringing Beam-induced Domain Gap for 3D Object Detection

Presenter: Jing Shao

Authors: Le Yang (Xi'an Jiaotong University), Yixuan Yan (Xi'an Jiaotong University), Jing Shao (Northeastern University), Hao Cheng (Hong Kong University of Science and Technology), Fan Li (Xi'an Jiaotong University)

14:50 - 15:05 Misaligned Over-The-Air Computation of Multi-Sensor Data with Wiener-Denoiser Network

Presenter: Mingjun Du

Authors: Mingjun Du (Tsinghua University), Sihui Zheng (Tsinghua University), Xiao-Ping Zhang (Tsinghua University), Yuhan Dong (Tsinghua University)

15:05 - 15:20 Proximal Federated Learning for Body Mass Index Monitoring using Commodity WiFi

Presenter: Jin Lu

Authors: Jiaxi Li (University of Georgia), Kiran Davuluri (University of Michigan), Khairul Mottakin (University of Michigan), Zheng Song (University of Michigan), Fei Dou (University of Georgia), Jin Lu (University of Georgia)

15:20 - 15:30 Coffee Break

15:30 - 16:00 Keynote 3: Human-centric Immersive Sensing with Physical Knowledge

Speaker: Zhisheng Yan, Associate Professor, Department of Information Sciences and Technology, George Mason University

Chapter 2: Networks and Systems

16:00 - 16:15 Predicting Community Case Transfer Path and Processing Time using Decoder Models

Presenter: Yuanbo Tang

Authors: Yiwen Liu (Tsinghua University), Dongdong Zhang (Tsinghua University), Xinyu Yang (Tsinghua University), Yuanbo Tang (Tsinghua University), Yang Chen (Tsinghua University), Qingmin Liao (Tsinghua University), Yang Li (Tsinghua University)

16:15 - 16:30 Multi-Agent Target Pursuit Using Perception Uncertainty-Aware Reinforcement Learning

Presenter: Yuhan Cheng

Authors: Yuhan Cheng (Tsinghua University), Jirong Zha (Tsinghua University), Renjue Yang (Yunnan province forest fire monitor center), Zhi Sun (Yunnan province forest fire monitor center), Susu Xu (Johns Hopkins University), Xinlei Chen (Tsinghua University)

16:30 - 16:45 Hybrid Data-Driven and Simulation-Driven Prediction of mmWave Network Performance

Presenter: Zihao Feng

Authors: Zihao Feng (University of California San Diego), Xingyu Chen (University of California San Diego), Xuyang Cao (Princeton University), Xinyu Zhang (University of California San Diego)

16:45 - 17:00 VLocSense: Integrated VLC System for Indoor Passive Localization and Human Sensing

Presenter: Jiarong Li

Authors: Jiarong Li (Tsinghua University), Changshuo Ge (Tsinghua University), Chihan Xu (Tsinghua University), Junhao Gong (Tsinghua University), Weihua Gui (Central South University), Chaobo Zhang (Peng Cheng Laboratory), Xiaojun Liang (Peng Cheng Laboratory), Wenbo Ding (Tsinghua University)

17:00 - 17:10 Coffee Break

Chapter 3: Security, Robotics, and HCI

17:10 - 17:25 A Black-Box Approach for Quantifying Leakage of Trace-Based Correlated Data

Presenter: Shafizur Rahman Seeam

Authors: Shafizur Rahman Seeam (Rochester Institute of Technology), Zhengxiong Li (University of Colorado Denver), Yidan Hu (Rochester Institute of Technology)

17:25 - 17:40 HandySense: A Multimodal Collection System for Human Two-Handed Dexterous Manipulation

Presenter: Jiarong Li

Authors: Shilong Mu (Tsinghua University), Jingyang Wang (Tsinghua University), Xinyue Chai (Tsinghua University), Xingting Li (University of Science and Technology Beijing), Tong Wu (Tsinghua University), Wenbo Ding (Tsinghua University)

17:40 - 17:55 Safe Routes, Safer Rides: A Multi-Tiered Approach to Trajectory Anomaly Detection

Presenter: Chenye Wu

Authors: Sirui He (The Chinese University of Hong Kong, Shenzhen), Chenye Wu (The Chinese University of Hong Kong, Shenzhen), Zuxin Li (Tsinghua University), Yang Li (Tsinghua University)

17:55 - 18:10 Distill Drops into Data: Event-based Rain-Background Decomposition Network

Presenter: Chenyu Zhao

Authors: Ciyu Ruan (Tsinghua University), Chenyu Zhao (Tsinghua University), Chenxin Liang (Tsinghua University), Xinyu Luo (Tsinghua University), Jingao Xu (Tsinghua University), Xinlei Chen (Tsinghua University)

18:10 - 18:20 Closing Remarks

Poster List:

1. Optimizing Limited-Stop Transit Operations Through Simulation: A Case Study of Shenzhen, China

Presenter: Jiarong Li

Authors: Tianyu Zhang (Tsinghua University), Xiancai Tian (Shenzhen Intellifusion Technologies), Jinkai Li (Shenzhen Intellifusion Technologies), Xin Jin (Tsinghua University)

2. Temperature Compensation for Humidity Sensors using ISSA-BP Neural Network

Presenter: Dapeng Li

Authors: Dapeng Li (Beihang University), Hechu Zhang (Beihang University), Yu Yang (Beihang University), Wei Li (University College London), Shuai Wang (Beihang University), Dezhi Zheng (Beijing Institute of Technology)

3. EventTracker: 3D Localization and Tracking of High-Speed Object with Event and Depth Fusion

Presenter: Chenyu Zhao

Authors: Xinyu Luo (Tsinghua University), Haoyang Wang (Tsinghua University), Ciyu Ruan (Tsinghua University), Chenxin Liang (Tsinghua University), Jingao Xu (Tsinghua University), Xinlei Chen (Tsinghua University)

4. LT-LayoutLM: Layout Explicit Information Fusion Method Based on the LayoutLM Model

Presenter: Yu Zhang

Authors: Yu Zhang (OIGCN), Xiang Yu (OIGCN), Xuguang Tao (OIGCN)

5. MAMGDT: Enhancing Multi-Agent Systems with Multi-Game Decision Transformer

Presenter: Zihan Wang

Authors: Chao Wang (Tsinghua University), Huaze Tang (Tsinghua University), Wenbo Ding (Tsinghua University)

6. MetaGlucose: Low-cost and Practical Cold Liquid Glucose Level Measurement for Health

Presenter: Xinmin Fang

Authors: Yilin Song (Cherry Creek High School), Xinmin Fang (University of Colorado Denver), Zheshuo Li (University of Colorado Denver), Zhengxiong Li (University of Colorado Denver)

7. FormerReckoning: Physics Inspired Transformer for Accurate Inertial Navigation

Presenter: Chenyu Zhao

Authors: Jiaqi Li (Tsinghua University), Chenyu Zhao (Tsinghua University), Yuzhu Mao (Tsinghua University), Xinlei Chen (Tsinghua University), Wenbo Ding (Tsinghua University), Xiaoyang Qu (Ping An Technology), Jianzong Wang (Ping An Technology)

8. Scalable Multi-Agent Reinforcement Learning for Effective UAV Scheduling in Multi-Hop Emergency Networks

Presenter: Yuhan Cheng

Authors: Yanggang Xu (Tsinghua University), Jirong Zha (Tsinghua University), Jiyuan Ren (Tsinghua University), Xintao Jiang (Sichuan University), Hongfei Zhang (Yunnan province forest fire monitor center), Xinlei Chen (Tsinghua University)