Chaoli Zhang

According to our database, Chaoli Zhang authored at least 16 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

Kexin Zhang, Qingsong Wen, Chaoli Zhang, Rongyao Cai, Ming Jin, Yong Liu, James Y. Zhang, Yuxuan Liang, Guansong Pang, Dongjin Song, Shirui Pan

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

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

Shengzhong Mao, Chaoli Zhang, Yichi Song, Jindong Wang, Xiao-Jun Zeng, Zenglin Xu, Qingsong Wen

CoRR, 2024

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

Yiyuan Yang, Ming Jin, Haomin Wen, Chaoli Zhang, Yuxuan Liang, Lintao Ma, Yi Wang, Chenghao Liu, Bin Yang, Zenglin Xu, Jiang Bian, Shirui Pan, Qingsong Wen

CoRR, 2024

Large Language Models for Education: A Survey and Outlook.

Shen Wang, Tianlong Xu, Hang Li, Chaoli Zhang, Joleen Liang, Jiliang Tang, Philip S. Yu, Qingsong Wen

CoRR, 2024

Bringing Generative AI to Adaptive Learning in Education.

Hang Li, Tianlong Xu, Chaoli Zhang, Eason Chen, Jing Liang, Xing Fan, Haoyang Li, Jiliang Tang, Qingsong Wen

CoRR, 2024

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

Kexin Zhang, Qingsong Wen, Chaoli Zhang, Liang Sun, Yong Liu

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.

Chaoli Zhang, Yingying Zhang, Lanshu Peng, Qingsong Wen, Yiyuan Yang, Chong-Jiong Fan, Minqi Jiang, Lunting Fan, Liang Sun

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.

Ming Jin, Qingsong Wen, Yuxuan Liang, Chaoli Zhang, Siqiao Xue, Xue Wang, James Zhang, Yi Wang, Haifeng Chen, Xiaoli Li, Shirui Pan, Vincent S. Tseng, Yu Zheng, Lei Chen, Hui Xiong

CoRR, 2023

Benchmarks and Custom Package for Electrical Load Forecasting.

Zhixian Wang, Qingsong Wen, Chaoli Zhang, Liang Sun, Leandro Von Krannichfeldt, Yi Wang

CoRR, 2023

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

Kexin Zhang, Qingsong Wen, Chaoli Zhang, Rongyao Cai, Ming Jin, Yong Liu, James Zhang, Yuxuan Liang, Guansong Pang, Dongjin Song, Shirui Pan

CoRR, 2023

DiffLoad: Uncertainty Quantification in Load Forecasting with Diffusion Model.

Zhixian Wang, Qingsong Wen, Chaoli Zhang, Liang Sun, Yi Wang

CoRR, 2023

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

Yiyuan Yang, Chaoli Zhang, Tian Zhou, Qingsong Wen, Liang Sun

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

Transformers in Time Series: A Survey.

Qingsong Wen, Tian Zhou, Chaoli Zhang, Weiqi Chen, Ziqing Ma, Junchi Yan, Liang Sun

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.

Zhiqiang Zhou, Chaoli Zhang, Lingna Ma, Jing Gu, Huajie Qian, Qingsong Wen, Liang Sun, Peng Li, Zhimin Tang

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

2022

Netrca: An Effective Network Fault Cause Localization Algorithm.

Chaoli Zhang, Zhiqiang Zhou, Yingying Zhang, Linxiao Yang, Kai He, Qingsong Wen, Liang Sun

Proceedings of the IEEE International Conference on Acoustics, 2022

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

Chaoli Zhang, Tian Zhou, Qingsong Wen, Liang Sun

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