Xiao Zhang
Orcid: 0000-0003-0824-9284Affiliations:
- Shandong University, School of Computer Science and Technology, Qingdao, China
- Nanjing University, State Key Laboratory for Novel Software Technology, China (PhD)
According to our database1,
Xiao Zhang
authored at least 32 papers
between 2016 and 2023.
Collaborative distances:
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Bibliography
2023
IEEE Trans. Knowl. Data Eng., July, 2023
FedHAR: Semi-Supervised Online Learning for Personalized Federated Human Activity Recognition.
IEEE Trans. Mob. Comput., June, 2023
Federated Representation Learning With Data Heterogeneity for Human Mobility Prediction.
IEEE Trans. Intell. Transp. Syst., June, 2023
Comput. Commun., April, 2023
J. Syst. Archit., 2023
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, 2023
Communication Resources Limited Decentralized Learning with Privacy Guarantee through Over-the-Air Computation.
Proceedings of the Twenty-fourth International Symposium on Theory, 2023
Theoretical Convergence Guaranteed Resource-Adaptive Federated Learning with Mixed Heterogeneity.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
2022
IEEE J. Biomed. Health Informatics, 2022
Learning Graph Structures With Transformer for Multivariate Time-Series Anomaly Detection in IoT.
IEEE Internet Things J., 2022
Forecasting fine-grained city-scale cellular traffic with sparse crowdsourced measurements.
Comput. Networks, 2022
Proceedings of the Wireless Algorithms, Systems, and Applications, 2022
ASM2TV: An Adaptive Semi-supervised Multi-Task Multi-View Learning Framework for Human Activity Recognition.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Neurocomputing, 2021
CoRR, 2021
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
Modeling Heterogeneous Relations across Multiple Modes for Potential Crowd Flow Prediction.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
IEEE Internet Things J., 2020
Predicting and Recommending the next Smartphone Apps based on Recurrent Neural Network.
CCF Trans. Pervasive Comput. Interact., 2020
PersonalitySensing: A Multi-View Multi-Task Learning Approach for Personality Detection based on Smartphone Usage.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020
Proceedings of the 20th International Conference on Data Mining Workshops, 2020
2019
Time-aware metric embedding with asymmetric projection for successive POI recommendation.
World Wide Web, 2019
Mach. Learn., 2019
Proceedings of the 27th ACM International Conference on Multimedia, 2019
AttnSense: Multi-level Attention Mechanism For Multimodal Human Activity Recognition.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
2018
Proceedings of the Wireless Algorithms, Systems, and Applications, 2018
Label-Sensitive Task Grouping by Bayesian Nonparametric Approach for Multi-Task Multi-Label Learning.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Proceedings of the IEEE International Conference on Data Mining, 2018
2017
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017
Predicting Happiness State Based on Emotion Representative Mining in Online Social Networks.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017
Proceedings of the Database Systems for Advanced Applications, 2017
2016
Academic Paper Recommendation Based on Community Detection in Citation-Collaboration Networks.
Proceedings of the Web Technologies and Applications - 18th Asia-Pacific Web Conference, 2016