Qingxin Xia

ABOUT

Hi, こにちは, 你好~

I am currently a specially appointed assistant professor at Hara Lab, Osaka University, Japan. I received my Ph.D. degree from Osaka University in 2021, mentored by Prof. Takuya Maekawa. I received my M.E. and B.E. degrees from Ocean University of China in 2018 and 2015, respectively, mentored by Prof. Feng Hong.

My research interests include ubiquitous computing and mobile sensing, and my work is closely related to that of Prof. Thomas Ploetz and Prof. Paul Lukowicz. I primary study human activity recognition using wearable sensor data in industrial and nursing care settings based on unsupervised and supervised learning techniques.

I am actively looking for job opportunities!

News

2023/04/05:I will present my work at the Advanced Seminar of MDM 2023 (only two were accepted).
2023/03/21:One paper is accepted to the Journal of Pervasive and Mobile Computing 2023.
2022/10/01:My doctor thesis is recommended to the Information Processing Society of Japan.
2022/08/01:One paper is accepted to PerCom 2022.
2020/02/14:One paper is accepted to ACM IMWUT, UbiComp 2020.
2019/02/14:One paper is accepted to ACM IMWUT, UbiComp 2019.

RESEARCH

Robust Unsupervised Factory Activity Recognition with Body-worn Accelerometer Using Temporal Structure of Multiple Sensor Data Motifs

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), 2020 [PDF]

Qingxin Xia, Joseph Korpela, Yasuo Namioka, and Takuya Maekawa

Acceleration-based Human Activity Recognition of Packaging Tasks Using Motif-guided Attention Networks

IEEE Int'l Conference on Pervasive Computing and Communications (PerCom), 2022 [PDF]

Jaime Morales, Naoya Yoshimura, Qingxin Xia, Atsushi Wada, Yasuo Namioka, Takuya Maekawa

Comparative Analysis of High- and Low-Performing Factory Workers with Attention-Based Neural Networks

Mobile and Ubiquitous Systems: Computing, Networking and Services (MobiQuitous), 2021 [PDF]

Qingxin Xia, Atsushi Wada, Takanori Yoshii, Yasuo Namioka, Takuya Maekawa

Unsupervised Factory Activity Recognition With Wearable Sensors Using Process Instruction Information

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), 2019 [PDF]

Qingxin Xia, Atsushi Wada, Joseph Korpela, Takuya Maekawa, and Yasuo Namioka

COMMITTEE ACTIVITY

Invited talk: Unsupervised factory activity recognition technique using wearable sensors. IPSJ SIGUBI 2021

Program Committee Member: ABC'22, ABC'23

Reviewer of: IMWUT'21, IMWUT'22, IMWUT'23

MY CONTACT DETAILS

Address: Multimedia Data Engineering Lab. Department of Multimedia Engineering. Graduate School of Information Science and Technology. Osaka University

E-mail: xiqxin@outlook.com