Xiao Zhang

Orcid: 0000-0003-0824-9284

Affiliations:
  • 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:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2023
Time-Aware Context-Gated Graph Attention Network for Clinical Risk Prediction.
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

Robust decentralized stochastic gradient descent over unstable networks.
Comput. Commun., April, 2023

Robust communication-efficient decentralized learning with heterogeneity.
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
HarMI: Human Activity Recognition Via Multi-Modality Incremental Learning.
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

EdgeViT: Efficient Visual Modeling for Edge Computing.
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
Cascaded SE-ResUnet for segmentation of thoracic organs at risk.
Neurocomputing, 2021

ASM2TV: An Adaptive Semi-Supervised Multi-Task Multi-View Learning Framework.
CoRR, 2021

DCAP: Deep Cross Attentional Product Network for User Response Prediction.
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
Emotion Detection in Online Social Networks: A Multilabel Learning Approach.
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

Multi-Task Time Series Forecasting With Shared Attention.
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

Supervised representation learning for multi-label classification.
Mach. Learn., 2019

Inferring Mood Instability via Smartphone Sensing: A Multi-View Learning Approach.
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
Predicting Smartphone App Usage with Recurrent Neural Networks.
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

An Integrated Model for Crime Prediction Using Temporal and Spatial Factors.
Proceedings of the IEEE International Conference on Data Mining, 2018

2017
MoodExplorer: Towards Compound Emotion Detection via Smartphone Sensing.
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

Emotion Detection in Online Social Network Based on Multi-label Learning.
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


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