NEWS: We have multiple openings for PhD and Master’s students! Please feel free to reach out via email at xuemeng@sdu.edu.cn or xuem.yun@gmail.com.

Welcome! I am currently a tenure-track professor in the School of Computer Science and Technology at Shandong University, working with Prof. Xiuzhen Cheng. Prior to SDU, I was a Post-doctoral Fellow at the Hong Kong University of Science and Technology (HKUST), under the guidance of Prof. Qian Zhang. Prior to HKUST, I received my Ph.D. in Computer Science from Wuhan University (WHU) in 2022, under the supervision of Prof. Yanjiao Chen. I also obtained my master’s degree from WHU. Additionally, I spent my senior year as a visiting student at the USSLAb of Zhejiang University (ZJU).

My research interests include mobile and ubiquitous computing, smart healthcare, and IoT/AI security.

🔥 News

2026.01: Made it to Qingdao! Officially starting at SDU!
2025.11: Invited to serve on the TPC for ACM WWW 2026.
2025.09: 🎉🎉 One paper is accepted by IEEE TDSC 2025!
2025.09: 🎉🎉 Starting January 2026, I will be joining the School of Computer Science and Technology at Shandong University as a Tenure-Track Professor.
2025.08: 🎉🎉 ACM MobiCom 2025 has accepted two of our papers!
2025.03: 🎉🎉 One paper is accepted by ACM Ubicomp/IMWUT 2025!
2024.09: 🎉🎉 One paper is accepted by IEEE TDSC 2024!
2023.10: 🎉🎉 One paper is accepted by ACM Ubicomp 2024!

📝 Publications

Ubicomp/IMWUT 2025

Meng Xue, Yinan Zhu, Wentao Xie, Zhixian Wang, Yanjiao Chen, Kui Jiang, and Qian Zhang

Code
In this work, we present a novel source-free domain adaptation framework for HAR that effectively handles substantial domain discrepancies across different datasets. Our approach introduces two key innovations: (1) a Discriminative Information Gramian (DIG) method that quantifies the relationship between target-domain samples and the source domain without requiring access to source data, and (2) an unsupervised domain generalization technique that ensures consistent feature extraction across augmented data samples, enhancing the model’s effectiveness in the target domain.

Ubicomp 2024

Meng Xue, Yuyang Zeng, Shengkang Gu, Qian Zhang, Bowei Tian, and Changzheng Chen

Demo
In this paper, we propose SDE, a contactless, convenient, and ubiquitous DED screening system based on RF signals. By constructing frame chirps variance, we extract fine-grained spontaneous blinking action from RF signals.

TDSC 2024

Meng Xue, Zhixian Wang, Qian Zhang, Xueluan Gong, Zhihang Liu, and Yanjiao Chen

Code
In this work, we propose a novel backdoor defense approach called ARTEMIS, which utilizes distribution shifts to eliminate the discrepancy between poisoned and benign samples in the feature space. Additionally, ARTEMIS learns from domain-invariant features after the shift.

Ubicomp 2023

Meng Xue, Peng Kuang, Xueluan Gong, Qian ZHANG, and Yanjiao Chen

Projects
In this paper, we propose a physical adversarial attack that exploits reverberation, a natural indoor acoustic effect, to realize imperceptible, fast, and targeted black-box attacks. Moreover, we generate reverberation-alike perturbations that blend naturally with the original voice sample.

Ubicomp 2022

Meng Xue, Yanjiao Chen, Xueluan Gong, Jian Zhang, and Chunkai Fan

Presentaion
Diaper wetness monitoring is essential in various situations (e.g., babies and patients) to guarantee hygiene and avoid embarrassment. In this paper, we introduce Wet-Ra, a contactless, ubiquitous, and user-friendly diaper wetness monitoring system based on RF signals.

Ubicomp 2021

Yanjiao Chen, Meng Xue, Jian Zhang, Qianyun Guan, Zhiyuan Wang, Qian Zhang, and Wei Wang

In this paper, we propose to leverage the distinctive chest motions during speaking to establish a secure multi-factor authentication system, named ChestLive. We use acoustic sensing to monitor chest motions with a built-in speaker and microphone on smartphones.

Meta-Learning for Human-Centered Wireless Sensing: Architecture, Applications, and Challenges. Xue, Meng, Yanjiao Chen, Xueluan Gong, Houze Cao, Jian Zhang, and Qian Zhang. IEEE Network, 2022.

DetectDUI: An In-Car Detection System for Drink Driving and BACs. Yanjiao Chen, Meng Xue, Jian Zhang, Runmin Ou, Qian Zhang, Peng Kuang. IEEE/ACM TON, 2021.

D-DAE: Defense-Penetrating Model Extraction Attacks. Yanjiao Chen, Rui Guan, Xueluan Gong, Jianshuo Dong, Meng Xue. IEEE Symposium on Security and Privacy, 2023.

Kaleidoscope: Physical Backdoor Attacks against Deep Neural Networks with RGB Filters. Xueluan Gong, Ziyao Wang, Yanjiao Chen, Meng Xue, Qian Wang, Yuzhe Gu. IEEE TDSC, 2023.

Technical Program Committee: ACM WWW 2026.
Reviewer of IMWUT/Ubicomp.
Reviewer of ACM Transactions on Computing for Healthcare.
Reviewer of IEEE Transactions on Information Forensics and Security.
Reviewer of IEEE Transactions on Dependable and Secure.
Reviewer of Information and Software Technology, IST.
Reviewer of Neural Networks.
Reviewer of Journal of Information Security and Applications.
Reviewer of IEEE network.
Teaching Assistant of Operating Systems, at Zhejiang University.
Teaching Assistant of Computer Networking, at Wuhan University, 2019.09 - 2020.01