[KT6] [PAKDD'26 Keynote] Qingsong Wen, "Agentic AI Tutors for Personalized Education at Scale", Invited Keynote Talk @ the 30th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'26), Hong Kong, China, Jun 2026. [Website]
[KT5] [IEEE SWC'26 Keynote] Qingsong Wen, "Agentic AI Tutors for Smart Education at Scale", Invited Keynote Talk @ 2026 IEEE Smart World Congress (IEEE SWC'26), Rende, Calabria, Italy, Sep 2026. [Website]
[KT4] [IEEE ICHMS'25 Keynote] Qingsong Wen, "AI for Education: Leveraging Large Models for Autonomous Error Analysis and Correction", Invited Keynote Talk @ 2025 IEEE International Conference on Human-Machine Systems (IEEE ICHMS'25), Abu Dhabi, UAE, May 2025. [Website]
[KT3] [AAAI'25 WS Keynote] Qingsong Wen, "AI for Time Series Analysis: from Transformer to LLM and Foundation Models", Invited Keynote Talk @ AAAI'25 Workshop on AI for Time Series Analysis, Philadelphia, PA, USA, Feb. 2025. [Website]
[KT2] [NeurIPS'24 WS Keynote] Qingsong Wen, "LLM and Foundation Models for Time Series Analysis", Invited Keynote Talk @ NeurIPS'24 Workshop on Time Series in the Age of Large Models, Vancouver, Canada, Dec. 15, 2024. [Website] [slides]
[KT1] [CIKM'22 WS Keynote] Qingsong Wen, “Customized Transformers for Time Series Forecasting”, Invited Keynote Talk @ CIKM'22 Workshop on Applied Machine Learning Methods for Time Series Forecasting, Atlanta, USA, Oct. 21st, 2022. [Website] [Slides]
[IT11] Qingsong Wen, Panel Discussion @ AIED'26 Workshop on NextGen Learning Interfaces, Seoul, Korea, June 28, 2026. [Website]
[IT10] Qingsong Wen, "Time Series Intelligence in the Era of Foundation Models, LLMs, and Agents", Invited Talk @ The Finance and Economics Club (FnE Club) by China Institute of America, New York, USA, May 2026. [Link]
[IT9] Qingsong Wen, Panel Discussion @ NeurIPS'25 Workshop on Recent Advances in Time Series Foundation Models (BERT2S), San Diego, USA, Dec 2025. [Website]
[IT8] Qingsong Wen, “FM and LLM for Time Series Analysis and Applications: from AlOps to EdTech", Invited Talk @ Tsinghua, SJTU, CQU, ECNU, TGO, June/July, 2025.
[IT7] Qingsong Wen, “LLM and Foundation Models for Time Series Forecasting”, Invited Practitioner Talk @ 45th International Symposium on Forecasting (IJF), Jun. 29-Jul. 2, 2025. [Link]
[IT6] Qingsong Wen, "AI for Education: Leveraging Large Models for Autonomous Error Analysis and Correction", Invited Talk @ 2025 IEEE SMC Society Workshop on AI Applications and Challenges, Bellevue, USA, May 2025. [Website]
[IT5] Qingsong Wen, “AI for Time Series Analysis - Algorithms and Applications”, Invited Talk @ Peking University, Nankai University, June 20-21, 2024. [Link1] [Link2]
[IT4] Qingsong Wen, “Time-LLM: Time Series Forecasting by Reprogramming Large Language Models”, Invited Talk @ 2023 CCF international AIOps Challenge and 'AlOps in the Age of Large Language Models' Summit, Dec. 16, 2023. [Slides] [Report]
[IT3] Qingsong Wen, “Intelligent Time Series Analysis and Application”, Invited Talk @ Shanghai Jiao Tong University (SJTU), Mar. 27th, 2023.
[IT2] Qingsong Wen, “Intelligent Time Series Analysis and Application”, Invited Talk @ LOGS, Dec. 10th, 2022. [Slides]
[IT1] Qingsong Wen, “Robust and Intelligent Time Series Analysis and Application”, Invited Talk @ Tsinghua University, Oct. 28th, 2022 (100+ onsite and online audiences). [Slides]
[TU13] [KDD'26 Tutorial] Yuxuan Liang, Haomin Wen, Yushan Jiang, Ming Jin, Dongjin Song, Min Wu, Shirui Pan, Qingsong Wen, "Foundation Models for Time Series Analysis: Concepts, Methodologies, and Applications," in 32nd ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD 2026), Jeju, Korea, Aug. 2026.
[TU12] [KDD'26 Tutorial] Wenjie Du, Yiyuan Yang, Tianxiang Zhan, Qingsong Wen, "End-to-End Learning for Partially-Observed Time Series with PyPOTS," in 32nd ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD 2026), Jeju, Korea, Aug. 2026.
[TU11] [SMC'26 Tutorial] Qingsong Wen, Tianlong Xu, Joleen Liang, Haoyang Li, "Error-Aware Socratic Tutoring at Scale: Personalized and Safe Human-AI Dialogue in K12 Math," Tutorial at the 2026 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2026), Seattle, USA, Oct. 2026.
[TU10] [AAAI'26 Tutorial] Yuxuan Liang, Qingxiang Liu, Ming Jin, Xu Liu, Yushan Jian, Dongjin Song, Shirui Pan, Qingsong Wen, "Foundation Models for Time Series Analysis: A Tutorial," Tutorial at the 40th AAAI Conference on Artificial Intelligence (AAAI 2026), Singapore, Jan. 2026.
[TU9] [SMC'25 Tutorial] Tianlong Xu, Aoxiao Zhong, Joleen Liang, Qingsong Wen, "Advancing Human-Machine Systems in Education: Socratic AI Tutoring for Personalized Math Education," Tutorial at the 2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2025), Vienna, Austria, Oct. 2025. [Website]
[TU8] [KDD'25 Tutorial] Miao Yu, Fanci Meng, Xinyun Zhou, Shilong Wang, Junyuan Mao, Linsey Pang, Tianlong Chen, Kun Wang, Xinfeng Li, Yongfeng Zhang, Bo An, Qingsong Wen*, "A Survey on Trustworthy LLM Agents: Threats and Countermeasures," in 31st ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD 2025), Toronto, Canada, Aug. 2025. [Website]
[TU7] [KDD'25 Tutorial] Yuxuan Liang, Haomin Wen, Yutong Xia, Ming Jin, Bin Yang, Flora Salim, Qingsong Wen, Shirui Pan, Gao Cong, "Foundation Models for Spatio-Temporal Data Science: A Tutorial and Survey," in 31st ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD 2025), Toronto, Canada, Aug. 2025. [Website]
[TU6] [KDD'25 Tutorial] Kun Yi, Qi Zhang, Wei Fan, Longbing Cao, Shoujin Wang, Guodong Long, Liang Hu, Hui He, Qingsong Wen, Hui Xiong, "Deep Learning in the Frequency Domain: Advances, Challenges, and Applications for Time Series Analysis," in 31st ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD 2025), Toronto, Canada, Aug. 2025. [Website]
[TU5] [MM'25 Tutorial] Yuxuan Liang, Siru Zhong, Xixuan Hao, Hao Miao, Yan Zhao, Qingsong Wen, Roger Zimmermann, "Multimodal Learning for Spatio-Temporal Data Mining," Tutorial at the 33rd ACM International Conference on Multimedia (MM 2025), Dublin, Ireland, Oct. 2025. [Website]
[TU4] [AAAI'25 Tutorial] Yuxuan Liang, Jiaxi Hu, Ming Jin, Dongjin Song, Shirui Pan and Qingsong Wen, "Foundation Models for Time Series Analysis: A Tutorial," Tutorial at the 39th AAAI Conference on Artificial Intelligence (AAAI 2025), Philadelphia, PA, USA, Feb. 2025. [Website]
[TU3] [KDD'24 Tutorial] Yuxuan Liang, Haomin Wen, Yuqi Nie, Yushan Jiang, Ming Jin, Dongjin Song, Shirui Pan, Qingsong Wen, "Foundation Models for Time Series Analysis," Tutorial at the 30th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD 2024), Barcelona, Spain, Aug. 2024. [Website]
[TU2] [ICDM'23 Tutorial] Qingsong Wen, Linxiao Yang, Tian Zhou, Weiqi Chen, Bingqing Peng, Liang Sun, "Robust Time Series Analysis and Applications: An Interdisciplinary Approach", Tutorial at 23rd IEEE International Conference on Data Mining (ICDM 2023), Shanghai, China, Dec., 2023. [Website] [Slides]
[TU1] [KDD'22 Tutorial] Qingsong Wen, Linxiao Yang, Tian Zhou, Liang Sun, "Robust Time Series Analysis and Applications: An Industrial Perspective," Tutorial at the 28th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD 2022), Washington DC, USA, Aug., 2022 (70+ onsite audiences). [Website] [Slides]