Xiao Zhang (张啸)

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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

    • Spatial-Temporal data mining

    • Multivariate time series analysis, anomaly detection

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

  • 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).

  • Xiao Zhang, Qilin Wang, Ziming Ye, Haochao Ying, Dongxiao Yu. Federated Representation Learning with Data Heterogeneity for Human Mobility Prediction. Accepted to Appear in IEEE Transactions on Intelligent Transportation Systems, 2023. (IF=9.551, JCR Q1, 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, Hongzheng Yu, Yang Yang, Jingjing Gu, Yujun Li, Fuzhen Zhuang, Dongxiao Yu, Zhaochun Ren. HarMI: Human Activity Recognition via Multi-Modality Incremental Learning. IEEE Journal of Biomedical and Health Informatics, 2021. (IF=5.223,JCR Q1).

  • Xiao Zhang, Wenzhong Li, Haochao Ying, Feng Li, Siyi Tang, Sanglu Lu. Emotion Detection in Online Social Networks: A Multilabel Learning Approach. IEEE Internet of Things Journal, 2020, 7(9) . (IF=9.936, JCR Q1).

  • 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

  • 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, Fangtian Zhong, Qi Luo, Xiao Zhang, Yanwei Zheng. EdgeViT: Efficient Visual Modeling for Edge Computing. Proceedings of the 17th International Conference on Wireless Algorithms, Systems, and Applications (WASA 2022). (Best Paper Award).

  • 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).

  • Xiao Zhang, Wenzhong Li, and Sanglu Lu. Emotion detection in online social network based on multi-label learning. the 22rd International Conference on Database Systems for Advanced Applications (DASFAA 2017). (CCF-B).

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: Ziming Ye (1 SIGIR, 1TKDE), Shuqing Xu, Mingyi Li (1 ICDM), Yangyang Wang (1 KDD, 1 JSA), Yan Li, Qi Wang

  • Alumni: 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)