Underlined authors are the students under my supervision.
Conference Paper
MuST2-Learn: Multi-view Spatial-Temporal-Type Learning for Heterogeneous Municipal Service Time Estimation.
Nadia Asif, Zhiqing Hong, Shaogang Ren, Xiaonan Zhang, Xiaojun Shang, and Yukun Yuan
The 33rd ACM
International Conference on Advances in Geographic Information Systems
(ACM SIGSPATIAL 2025), Minneapolis, MN, Nov. 3-6, 2025.
Energy-aware E-taxi Fleet Coordination under Power Rationing
via Dynamic Charging Rate.
Yukun Yuan, Zilong Zeng, Xiaonan Zhang, and Shan Lin
The 2025 American Control Conference (ACC 2025), Denver, CO, Jul. 8-10, 2025. (Accept Ratio: 18.7%)
Poster Abstract: Non-Intrusive Speaker Diarization via mmWave Sensing.
Shaoying Wang, Hansong Zhou, Yukun Yuan, and Xiaonan Zhang
The 23rd ACM Conference on Embedded Networked Sensor Systems (ACM SenSys 2025), Irvine, USA, May 6-9, 2025.
Similarity-Guided Rapid Deployment of Federated Intelligence over Heterogeneous Edge Computing.
Hansong Zhou, Jingjing Fu, Yukun Yuan, Linke Guo, and Xiaonan Zhang
The 44th IEEE International Conference on Computer Communications (IEEE INFOCOM 2025), London, UK, May 19-22, 2025. (Accept Ratio: 18.7%)
Achieving Robust Resource Orchestration for Highly Dense Heterogeneous IoT Systems.
ChunChih Lin, Chenxu Jiang, Xiaonan Zhang, and Linke Guo.
The 44th IEEE International Conference on Computer Communications (IEEE INFOCOM 2025), London, UK, May 19-22, 2025. (Accept Ratio: 18.7%)
Adversarial Robust ViT-based Automatic Modulation Recognition in Practical Deep Learning-based Wireless Systems.
Gen Li, ChunChih Lin, Xiaonan Zhang, Xiaolong Ma, and Linke Guo.
Proceedings of the 46th IEEE Symposium on Security and Privacy (Oakland) (S&P 2025), San Francisco, CA, May 12-15, 2025. (Accept Ratio: 14.3%)
RF Sensing-enabled Interference Mitigation for Wi-Fi-based IoT Systems: A Deep Learning Approach.
ChunChih Lin, Gen Li, Xiaonan Zhang, and Linke Guo.
IEEE Conference on Communications and Network Security (IEEE CNS 2024), Taipei, Taiwan, Sep 30 - Oct 3, 2024.
FedAR: Addressing Client Unavailability in Federated Learning with Local Update Approximation and Rectification.
Chutian Jiang, Hansong Zhou, Xiaonan Zhang, and Shayok Charkraborty.
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2024), Vilnius, Sep 9-13, 2024. (Accept Ratio: 24%)
FreeEM: Uncovering Parallel Memory EMR Covert Communication in Volatile Environments.
Sihan Yu, Jingjing Fu, Chenxu Jiang, ChunChih Lin, Zhenkai Zhang, Long Cheng, Ming Li, Xiaonan Zhang, and Linke Guo.
The 22nd ACM International Conference on Mobile Systems, Applications, and Services (ACM MobiSys 2024), Tokyo, Japan, Jun 3-7, 2024.
A Vibration Signal Enhancement Scheme for mmWave-based Sound Eavesdropping.
Shaoying Wang, Xiaonan Zhang.
IEEE INFOCOM The Second DeepWireless Workshop: Deep Learning for Wireless Communications, Sensing, and Security (DeepWireless 2024), Vancouver, Canada, May 20th, 2024.
Waste Not, Want Not: Service Migration-Assisted Federated Intelligence for Multi-Modality Mobile Edge Computing.
Hansong Zhou, Shaoying Wang, Chutian Jiang, Xiaonan Zhang, Linke Guo, Yukun Yuan.
The ACM 24th International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing (ACM MobiHoc 2023), Washington D.C., Oct 23-26, 2023. (Accept Ratio: 21.9%)
Generative Graph Augmentation for Minority Class in Fraud Detection.
Lin Meng, Hesham Mostafa, Marcel Nassar, Xiaonan Zhang, and Jiawei Zhang
The 32nd ACM International Conference on Information and Knowledge Management (ACM CIKM 2023), University of Birmingham and Eastside Rooms, UK, Oct 21-25, 2023. (Accept Ratio: 27.4%)
Location-Adaptive Generative Graph Augmentation for Fraud Detection.
Lin Meng, Xiaonan Zhang, Jiawei Zhang, and Philip S. Yu
The 5th IEEE International Conference on Cognitive Machine Intelligence (IEEE CogMI 2023), Atlanta, GA, Nov 1-3, 2023.
DQN-based QoE Enhancement for Data Collection in Heterogeneous IoT Network.
Hansong Zhou, Sihan Yu, Xiaonan Zhang, Linke Guo, Beatriz Lorenzo.
IEEE 19th International Conference on Mobile Ad Hoc and Smart Systems (IEEE MASS 2022), Denver, Colorado, Oct. 20-22, 2022.
CrossCas: A Novel Cross-Platform Approach for Predicting Cascades in OSNs with Hidden Markov Model.
Jinwei Liu, Xiaonan Zhang, Richard Alo, Xiuzhen Huang, Long Cheng, Feng Deng.
IEEE Global Communications Conference (IEEE GLOBECOM 2022), Dec 2022.
Robust Design for the IRS-Assisted Multicast Communications With Statistical CSI Errors.
Bolin Chen, Jiangtian Nie, Weiheng Zhang, Xiaonan Zhang, and Zehui Xiong.
2022 IEEE Global Communications Conference (IEEE GLOBECOM 2022), Dec 2022.
Defending against Cross-Technology Jamming in Heterogeneous IoT Systems.
Sihan Yu, ChunChih Lin, Xiaonan Zhang, and Linke Guo.
The 42nd IEEE International Conference on Distributed Computing Systems (IEEE ICDCS 2022), July 2022. (Accept Ratio: 19.9%).
Physical-Level Parallel Inclusive Communication for Heterogeneous IoT Devices.
Sihan Yu, Xiaonan Zhang, Pei Huang, and Linke Guo.
The 41st IEEE International Conference on Computer Communication (IEEE INFOCOM 2022), May 2022. (Accept Ratio: 19.9%).
AuthCTC: Defending Against Waveform Emulation Attack in Heterogeneous IoT Environments.
Sihan Yu, Xiaonan Zhang, Pei Huang, Linke Guo, Long Cheng and Kuangching Wang.
The 15th ACM ASIA Conference on Computer and Communications Security (ACM AsiaCCS 2020), Taipei, Taiwan, Oct. 5-9, 2020. (Accept Ratio: 21%)
