Shuai Zhang

Orcid: 0000-0001-8502-2927

Affiliations:
  • Beihang University, School of Computer Science and Engineering, Beijing Advanced Innovation Center for Big Data and Brain Computing, China


According to our database1, Shuai Zhang authored at least 12 papers between 2017 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

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Bibliography

2023
Expanding the prediction capacity in long sequence time-series forecasting.
Artif. Intell., May, 2023

2022
Jump Self-attention: Capturing High-order Statistics in Transformers.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

AutoST: Towards the Universal Modeling of Spatio-temporal Sequences.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

AIQoSer: Building the efficient Inference-QoS for AI Services.
Proceedings of the 30th IEEE/ACM International Symposium on Quality of Service, 2022

Learning Music Sequence Representation From Text Supervision.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
POLLA: Enhancing the Local Structure Awareness in Long Sequence Spatial-temporal Modeling.
ACM Trans. Intell. Syst. Technol., 2021

A Bisubmodular Approach to Event Detection and Prediction in Multivariate Social Graphs.
IEEE Trans. Comput. Soc. Syst., 2021

Triplet Attention: Rethinking the Similarity in Transformers.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

MERITS: Medication Recommendation for Chronic Disease with Irregular Time-Series.
Proceedings of the IEEE International Conference on Data Mining, 2021

Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2017
Stacked Kernel Network.
CoRR, 2017

An Efficient Approach to Event Detection and Forecasting in Dynamic Multivariate Social Media Networks.
Proceedings of the 26th International Conference on World Wide Web, 2017


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