TFAD: A Decomposition Time Series Anomaly Detection Architecture with Time-Frequency Analysis. - Chaoli Zhang 001; Tian Zhou 004; Qingsong Wen; Liang Sun 001 (CIKM, 2022)

Netrca: An Effective Network Fault Cause Localization Algorithm. - Chaoli Zhang 001; Zhiqiang Zhou; Yingying Zhang; Linxiao Yang; Kai He; Qingsong Wen; Liang Sun 001 (ICASSP, 2022)

AHPA: Adaptive Horizontal Pod Autoscaling Systems on Alibaba Cloud Container Service for Kubernetes. - Zhiqiang Zhou; Chaoli Zhang 001; Lingna Ma; Jing Gu; Huajie Qian; Qingsong Wen; Liang Sun 001; Peng Li; Zhimin Tang (AAAI, 2023)

Transformers in Time Series: A Survey. - Qingsong Wen; Tian Zhou 004; Chaoli Zhang 001; Weiqi Chen; Ziqing Ma; Junchi Yan; Liang Sun 001 (IJCAI, 2023)

DCdetector: Dual Attention Contrastive Representation Learning for Time Series Anomaly Detection. - Yiyuan Yang; Chaoli Zhang 001; Tian Zhou 004; Qingsong Wen; Liang Sun 001 (KDD, 2023)

DiffLoad: Uncertainty Quantification in Load Forecasting with Diffusion Model. - Zhixian Wang; Qingsong Wen; Chaoli Zhang 001; Liang Sun 001; Yi Wang 022 (CoRR, 2023)

Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects. - Kexin Zhang 007; Qingsong Wen; Chaoli Zhang 001; Rongyao Cai; Ming Jin 005; Yong Liu 007; James Zhang; Yuxuan Liang; Guansong Pang; Dongjin Song; Shirui Pan (CoRR, 2023)

Benchmarks and Custom Package for Electrical Load Forecasting. - Zhixian Wang; Qingsong Wen; Chaoli Zhang 001; Liang Sun 001; Leandro Von Krannichfeldt; Yi Wang 022 (CoRR, 2023)

Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook. - Ming Jin 005; Qingsong Wen; Yuxuan Liang; Chaoli Zhang 001; Siqiao Xue; Xue Wang 010; James Zhang; Yi Wang 022; Haifeng Chen; Xiaoli Li 001; Shirui Pan; Vincent S. Tseng; et al. (CoRR, 2023)

Advancing Multivariate Time Series Anomaly Detection: A Comprehensive Benchmark with Real-World Data from Alibaba Cloud. - Chaoli Zhang 001; Yingying Zhang; Lanshu Peng; Qingsong Wen; Yiyuan Yang; Chong-Jiong Fan; Minqi Jiang; Lunting Fan; Liang Sun 001 (CIKM, 2024)

Skip-Step Contrastive Predictive Coding for Time Series Anomaly Detection. - Kexin Zhang 007; Qingsong Wen; Chaoli Zhang 001; Liang Sun 001; Yong Liu 007 (ICASSP, 2024)

Bringing Generative AI to Adaptive Learning in Education. - Hang Li 007; Tianlong Xu; Chaoli Zhang 001; Eason Chen; Jing Liang 008; Xing Fan; Haoyang Li; Jiliang Tang; Qingsong Wen (CoRR, 2024)

Large Language Models for Education: A Survey and Outlook. - Shen Wang 005; Tianlong Xu; Hang Li 007; Chaoli Zhang 001; Joleen Liang; Jiliang Tang; Philip S. Yu; Qingsong Wen (CoRR, 2024)

A Survey on Diffusion Models for Time Series and Spatio-Temporal Data. - Yiyuan Yang; Ming Jin 005; Haomin Wen; Chaoli Zhang 001; Yuxuan Liang; Lintao Ma; Yi Wang 022; Chenghao Liu; Bin Yang 002; Zenglin Xu; Jiang Bian 001; Shirui Pan; et al. (CoRR, 2024)

Time Series Analysis for Education: Methods, Applications, and Future Directions. - Shengzhong Mao; Chaoli Zhang 001; Yichi Song; Jindong Wang 001; Xiao-Jun Zeng; Zenglin Xu; Qingsong Wen (CoRR, 2024)

Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects. - Kexin Zhang 007; Qingsong Wen; Chaoli Zhang 001; Rongyao Cai; Ming Jin 005; Yong Liu 007; James Y. Zhang; Yuxuan Liang; Guansong Pang; Dongjin Song; Shirui Pan (IEEE Trans. Pattern Anal. Mach. Intell., 2024)