Chaoli Zhang

Orcid: 0000-0003-4059-8396

Affiliations:

Zhejiang Normal University, School of Computer Science and Technology, Jinhua, China
DAMO Academy, Alibaba Group, Hangzhou, China
Shanghai Jiao Tong University, Department of computer science and engineering, China (PhD 2020)

According to our database¹, Chaoli Zhang authored at least 19 papers between 2022 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

A Survey on Diffusion Models for Time Series and Spatio-Temporal Data.

[BibT_eX]

[DOI]

ACM Comput. Surv., June, 2026

From Memorization to Creation: Evaluating the Cognitive Depth of LLM?Generated Educational Questions.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

2025

Large Language Models for Education: A survey and outlook.

[BibT_eX]

[DOI]

IEEE Signal Process. Mag., November, 2025

WDformer: A Wavelet-based Differential Transformer Model for Time Series Forecasting.

[BibT_eX]

[DOI]

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

2024

Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., October, 2024

Time Series Analysis for Education: Methods, Applications, and Future Directions.

[BibT_eX]

[DOI]

CoRR, 2024

A Survey on Diffusion Models for Time Series and Spatio-Temporal Data.

[BibT_eX]

[DOI]

CoRR, 2024

Bringing Generative AI to Adaptive Learning in Education.

[BibT_eX]

[DOI]

CoRR, 2024

Skip-Step Contrastive Predictive Coding for Time Series Anomaly Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2024

Advancing Multivariate Time Series Anomaly Detection: A Comprehensive Benchmark with Real-World Data from Alibaba Cloud.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook.

[BibT_eX]

[DOI]

CoRR, 2023

Benchmarks and Custom Package for Electrical Load Forecasting.

[BibT_eX]

[DOI]

Leandro Von Krannichfeldt

Yi Wang

CoRR, 2023

Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects.

[BibT_eX]

[DOI]

CoRR, 2023

DiffLoad: Uncertainty Quantification in Load Forecasting with Diffusion Model.

[BibT_eX]

[DOI]

CoRR, 2023

DCdetector: Dual Attention Contrastive Representation Learning for Time Series Anomaly Detection.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Transformers in Time Series: A Survey.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

AHPA: Adaptive Horizontal Pod Autoscaling Systems on Alibaba Cloud Container Service for Kubernetes.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Netrca: An Effective Network Fault Cause Localization Algorithm.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2022

TFAD: A Decomposition Time Series Anomaly Detection Architecture with Time-Frequency Analysis.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Chaoli Zhang

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