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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).

  • Yuyang Xu, Haochao Ying, Siyi Qian, Fuzhen Zhuang, Xiao Zhang, Deqing Wang, Jian Wu, Hui Xiong. Time-aware Context-Gated Graph Attention Network for Clinical Risk Prediction. Accepted to Appear in IEEE Transactions on Knowledge and Data Engineering, 2022. (CCF-A).

  • 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).

  • 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).

  • Zheng Cao, Bohan Yu, Biwen Lei, Haochao Ying, Xiao Zhang, Danny Z Chen, Jian Wu. Cascaded SE-ResUnet for segmentation of thoracic organs at risk. Neurocomputing, 2021. (CCF-C).

  • 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): 8133-8143. (IF=9.936, JCR Q1).

  • Shijian Xu, Wenzhong Li, Xiao Zhang, Songcheng Gao, Tong Zhan, Sanglu Lu. Predicting and Recommending the next Smartphone Apps based on Recurrent Neural Network. CCF Transactions on Pervasive Computing and Interaction, 2020, 2(4): 314-328.

  • Ming Huang, Fuzhen Zhuang, Xiao Zhang, Xiang Ao, Zhengyu Niu, Min-ling Zhang, Qing He. Supervised representation learning for multi-label classification. Machine Learning, 2019, 108(5): 747-763. (CCF-B).

  • 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).

  • Haochao Ying, Jian Wu, Guandong Xu, Yanchi Liu, Tingting Liang, Xiao Zhang, Hui Xiong. Time-aware metric embedding with asymmetric projection for successive POI recommendation. World Wide Web, 2018. (CCF-B).

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).

  • 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).

  • Zekai Chen, Fangtian Zhong, Zhumin Chen, Xiao Zhang, Robert Pless, Xiuzhen Cheng. DCAP: Deep Cross Attentional Product Network for User Response Prediction. CIKM 2021. (CCF-B).

  • Qiang Zhou, Jingjing Gu, Xinjiang Lu, Fuzhen Zhuang, Yanchao Zhao, Qiuhong Wang, Xiao Zhang. Modeling Heterogeneous Relations across Multiple Modes for Potential Crowd Flow Prediction. AAAI 2021. (CCF-A).

  • Songcheng Gao, Wenzhong Li, Lynda J Song,Xiao Zhang, Mingkai Lin, Sanglu Lu. PersonalitySensing: A Multi-View Multi-Task Learning Approach for Personality Detection based on Smartphone Usage. Proceedings of the 28th ACM International Conference on Multimedia (ACM MM 2020). (CCF-A).

  • Zekai Chen, E Jiaze, Xiao Zhang, Hao Sheng, Xiuzhen Cheng. Multi-Task Time Series Forecasting With Shared Attention. International Conference on Data Mining Workshops (ICDMW 2020).

  • 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).

  • Haojie Ma, Wenzhong Li, Xiao Zhang, Songcheng Gao, Sanglu Lu. AttnSense: Multi-level Attention Mechanism For Multimodal Human Activity Recognition. the 28th International Joint Conference on Artificial Intelligence (IJCAI 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).

  • Fei Yi, Zhiwen Yu, Fuzhen Zhuang, Xiao Zhang, Bin Guo, and Hui Xiong. An Integrated Model for Crime Prediction Using Temporal and Spatial Factors. in the 2018 IEEE International Conference on Data Mining (ICDM'18). (CCF-B).

  • Shijian Xu, Wenzhong Li, Xiao Zhang, Songcheng Gao, Tong Zhan, Yongzhu Zhao, Wei-wei Zhu, Tianzi Sun. Predicting Smartphone App Usage with Recurrent Neural Networks. in the 13th International Conference on Wireless Algorithms, Systems, and Applications (WASA 2018). (CCF-C).

  • 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).

  • Xiao Zhang, Wenzhong Li, Hong Huang, Cam-Tu Nguyen, Xu Chen, Xiaoliang Wang, Sanglu Lu. Predicting Happiness State Based on Emotion Representative Mining in Online Social Networks. in The Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2017). (CCF-C).

  • Qisen Wang, Wenzhong Li, Xiao Zhang, Sanglu Lu. Academic Paper Recommendation Based on Community Detection in Citation-Collaboration Networks. in The 18th Asia Pacific Web Conference (APWeb 2016). (CCF-C).