Xiao Zhang (张啸)

I am currently an Associate Professor in the School of Computer Science and Technology at Shandong University.

Email: xiaozhang@sdu.edu.cn & tobexiao1@gmail.com

Address: Binhai Road No.72, Jimo District, Qingdao, Shandong, China.

Student recruitment: We are looking for well motivated Master students and Undergraduate students who are interested in Distributed Learning, Federated learning, Edge Intelligence, Big Data Mining. Please feel free to drop me an email.

招收硕士研究生和本科科研助理，有较强的学习科研自驱力，有意向同学欢迎通过email发送简历。

TIPS: We encourage you to showcase your proficient programming skills, good command of English, and effective communication abilities. We will provide you with various training and guidance to support your steady growth.

Research Interests

Federated Learning / Distributed Learning
- FL or DL theory in resource-limited edge environment
- Personalized or robust FL or DL algorithms design
- Kinds of applications with FL or DL, such as HAR, POI recommendation, smart healthcare
Big Data Mining: Multivariate time series analysis, anomaly detection
Distributed Learning System Optimization

Professional Experience & Education

Associate Professor. School of Computer Science and Technology, Shandong University, Sep. 2023 - Present.
Assistant Professor. School of Computer Science and Technology, Shandong University, June 2019 - Aug. 2023.
Visiting Scholar. Rutgers, the State University of New Jersey, Oct 2017 - Oct 2018.
- Working with Prof. Hui Xiong.
Visiting Student. George-August-University of Goettingen, June 2015 - Aug 2015.
- Working with Prof. Xiaoming Fu.
Ph.D. in Department of Computer Science and Technilogy, Nanjing University, June, 2019.
- Advisor: Prof. Sanglu Lu, Prof. Wenzhong Li
B.E. in School of Software. Central South University, 2013.

Selected Publications(Google Scholar Profile: Xiao Zhang(张啸))

* Corresponding author

Journal Paper

Jing Qiao, Shikun Shen, Shuzhen Chen, Xiao Zhang*, Tian Lan, Xiuzhen Cheng, and Dongxiao Yu*. De-RPOTA: Decentralized Learning With Resource Adaptation and Privacy Preservation Through Over-the-Air Computation (Extexsion of MobiHoc2023). Accepted to Appear in IEEE/ACM Transactions on Networking, 2024. (CCF-A).
Xiao Zhang, Shuqing Xu, Huashan Chen, Zekai Chen, Fuzhen Zhuang, Hui Xiong, Dongxiao Yu. Rethinking Robust Multivariate Time Series Anomaly Detection: A Hierarchical Spatio-Temporal Variational Perspective. Accepted to Appear in IEEE Transactions on Knowledge and Data Engineering, 2024. (CCF-A).
Ziming Ye,Xiao Zhang*, Xu Chen, Hui Xiong, Dongxiao Yu. Adaptive Clustering based Personalized Federated Learning Framework for Next POI Recommendation with Location Noise. Accepted to Appear in IEEE Transactions on Knowledge and Data Engineering, 2023. (CCF-A).
Xiao Zhang, Yangyang Wang, Shuzhen Chen, Cui Wang, Dongxiao Yu, Xiuzhen Cheng. Robust communication-efficient decentralized learning with heterogeneity. Accepted to Appear in Journal of Systems Architecture, 2023. DOI 10.1016/j.sysarc.2023.102900. (CCF-B).
Hongzheng Yu, Zekai Chen, Xiao Zhang *, Xu Chen, Fuzhen Zhuang, Hui Xiong, Xiuzhen Cheng. FedHAR: Semi-Supervised Online Learning for Personalized Federated Human Activity Recognition. Accepted to Appear in IEEE Transactions on Mobile Computing, 2021. DOI 10.1109/TMC.2021.3136853. (CCF-A, ESI Highly Cited).
Zekai Chen, Dingshuo Chen, Xiao Zhang *, Zixuan Yuan, Xiuzhen Cheng. Learning Graph Structures with Transformer for Multivariate Time Series Anomaly Detection in IoT. Accepted to Appear in IEEE Internet of Things Journal, 2021. DOI 10.1109/JIOT.2021.3100509. (IF=9.936, JCR Q1, ESI Highly Cited).
Xiao Zhang, Wenzhong Li, Xu Chen, and Sanglu Lu. MoodExplorer: Towards Compound Emotion Detection via Smartphone Sensing. in the Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 1, 4 (IMWUT/Ubicomp 2018). (CCF-A).

Conference Paper

Mingyi Li, Xiao Zhang*, Qi Wang, Tengfei LIU, Ruofan Wu, Weiqiang Wang, Fuzhen Zhuang, Hui Xiong, Dongxiao Yu*. Resource-Aware Federated Self-Supervised Learning with Global Class Representations. Proceedings of the Thirty-eighth Annual Conference on Neural Information Processing Systems (NeurIPS 2024). (CCF-A).
Jing Qiao, Zuyuan Zhang, Sheng Yue*, Yuan Yuan, Zhipeng Cai,Xiao Zhang*, Ju Ren, Dongxiao Yu. BR-DeFedRL: Byzantine-Robust Decentralized Federated Reinforcement Learning with Fast Convergence and Communication Efficiency. Proceedings of the IEEE International Conference on Computer Communications (INFOCOM 2024). (CCF-A).
Yangyang Wang, Xiao Zhang*, Mingyi Li, Tian Lan, Huanshan Chen, Hui Xiong, Xiuzhen Cheng, Dongxiao Yu*. Theoretical Convergence Guaranteed Resource-Adaptive Federated Learning with Mixed Heterogeneity. Proceedings of the 29th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2023). (CCF-A).
Xiao Zhang, Ziming Ye, Jianfeng Lu, Fuzhen Zhuang, Yanwei Zheng, Dongxiao Yu. Fine-Grained Preference-Aware Personalized Federated POI Recommendation with Data Sparsity. Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2023). (CCF-A).
Jing Qiao, Shikun Shen, Shuzhen Chen, Xiao Zhang*, Tian Lan, Xiuzhen Cheng, Dongxiao Yu*. Communication Resources Limited Decentralized Learning with Privacy Guarantee through Over-the-Air Computation. Proceedings of the 24th International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing (MobiHoc 2023). (CCF-B, Best Paper Award Runner-Up).
Zekai Chen, Xiao Zhang*, Xiuzhen Cheng. ASM2TV: An Adaptive Semi-Supervised Multi-Task Multi-View Learning Framework for Human Activity Recognition. Proceedings of the 36th AAAI Conference on Artificial Intelligence (AAAI 2022). (CCF-A).
Xiao Zhang, Fuzhen Zhuang, Wenzhong Li, Haochao Ying, Hui Xiong, Sanglu Lu. Inferring mood instability via smartphone sensing: a multi-view learning approach. in 27th ACM International Conference on Multimedia (ACM MM 2019), 1401-1409, Nice, France, 21 - 25 October 2019. (CCF-A).
Xiao Zhang, Wenzhong Li, Vu Nguyen, Fuzhen Zhuang, Hui Xiong, Sanglu Lu. Label-Sensitive Task Grouping by Bayesian Nonparametric Approach for Multi-Task Multi-Label Learning. the 27th International Joint Conference on Artificial Intelligence (IJCAI 2018). (CCF-A).

Honors and Award

ACM QINGDAO Rising Star, 2023
CAAI BDSC Rising Star, 2022
Program A for Outstanding Ph.D. Candidate of Nanjing University, 2018
First-Class Ph.D. International Academic Exchange Award of Nanjing University, 2018
Joint-PhD Student Scholarship of China Scholarship Council, 2017
Huawei Scholarship, 2017

People

Students: Mingyi Li (1 NeurIPS, 1 ICDM), Yangyang Wang (1 KDD, 1 JSA), Yan Li, Qi Wang, Zengzhe Chen, Mingyu Sun
Alumni: Ziming Ye (MS2024, 1 SIGIR, 1TKDE), Shuqing Xu (MS2024, 1TKDE), Qilin Wang (MS2023, 1 T-ITS), Rongwen Xu (MS2023), Peng Liu (MS2023), Tianli Wang (MS2023), Hongzheng Yu (MS2022, 1 TMC, 1 JBHI), Maiwang Shi (MS2022)