• PhD Supervisor, University of Oxford, UK
• Chair, IEEE CIS Task Force on AI for Time Series and Spatio-Temporal Data [Link]
• Vice Chair, INNS AI for Education Section [Link]
• Committee, IEEE Machine Learning for Signal Processing Technical Committee (MLSP TC)
• Member, ACM/AAAI/AAAS/INNS/SIAM/ACSIC/CAAI/CCF
• Senior Member, IEEE

Associate Editor, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) (IF: 20.8), from 05/2025 to ...

Associate Editor, IEEE Signal Processing Letters (IF: 3.9), from 04/2024 to 09/2025

Associate Editor, Neurocomputing (IF: 6.0), from 02/2020 to 02/2025

Guest Editor, IEEE Internet of Things Journal (IF: 10.6), 2024

• Special Issue on "Energy Internet: A Cyber-Physical-Social Perspective". [link]

Guest Editor, Applied Energy (IF: 11.2) and Advances in Applied Energy, 2022

• Joint Special Issue on "Data Openness and Sharing for Low Carbon Energy Systems" [link]

Organizer of Conference:

• Program Co-Chair, KDD 2026 AI for Education Day
• Vertical Chair, 2026 IEEE CAI Generative AI Models, AI in Education and Agentic AI
• Program Co-Chair, 2026 IEEE International Conference on Cybernetics (IEEE CYB 2026) [link]
• Tutorial/Workshop Co-Chair, 2026 IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC 2026) [link]
• PC Chair of Surveys and Vision Track, 2026 IEEE International Conference on Data Science and Advanced Analytics (IEEE DSAA 2026) [link]

Organizer/Chair of Workshop on AI for Time Series/Spatio-Temporal Data (@ AAAI, IJCAI, KDD, ICDM, SDM, WWW)

• AAAI Workshop on AI for Time Series Analysis: Theory, Algorithms, and Applications (AAAI'24-AI4TS, AAAI'25-AI4TS, AAAI'26-AI4TS)
• KDD Workshop on Mining and Learning from Time Series (KDD'23-MiLeTS, KDD'24-MiLeTS, KDD'25-MiLeTS)
• IJCAI Workshop on AI for Time Series Analysis: Theory, Algorithms, and Applications (IJCAI'23-AI4TS, IJCAI'24-AI4TS, IJCAI'25-AI4TS)
• WWW Workshop on Spatio-Temporal Data Mining from the Web (WWW'25-WebST, WWW'26-WebST)
• WWW Workshop on AI for Web-Centric Time Series Analysis (AI4TS): Theory, Algorithms, and Applications (WWW'25-AI4TS)
• SDM Workshop on AI for Time Series Analysis: Theory, Algorithms, and Applications (SDM'24-AI4TS, SDM'25-AI4TS)
• ICDM 2023 Workshop on AI for Time Series Analysis: Theory, Algorithms, and Applications (ICDM'23-AI4TS)

Organizer/Chair of Workshop on AI for Education (@ KDD, AAAI, IJCNN, CAI)

• KDD 2026 AI for Education Day
• AAAI Workshop on AI for Education: Tools, Opportunities, and Risks in the Generative AI Era (AAAI'25-AI4EDU)
• IJCNN Workshop on AI Innovations for Education: Transforming Teaching and Learning through Cutting-Edge Technologies (IJCNN25-AI4EDU)
• KDD Workshop on AI for Education: Advancing Personalized Education with LLM and Adaptive Learning (KDD'24-AI4EDU)
• IEEE CAI Workshop on AI for Education: Exploring LLMs and Adaptive Learning for Personalized Education (CAI'24-AI4EDU)

Organizer/Chair of Workshop on AI for Finance (@ ICAIF, PAKDD)

• PAKDD 2025 Workshop on AI and Data Science for Digital Finance
• ICAIF 2025 Workshop on Rethinking Financial Time-Series: Foundations, Frontiers, and Future Directions (link)
• ICAIF 2024 Workshop on Foundation Models for Time Series: Exploring New Frontiers (ICAIF'24-FM4TS)

Organizer/Chair of Workshop on AI Agent for Information Retrieval (@ KDD, AAAI, WWW, CIKM)

• KDD Workshop on AI Agent for Information Retrieval (KDD'25-Agent4IR)
• AAAI Workshop on AI Agent for Information Retrieval: Generating and Ranking (AAAI'25-Agent4IR)
• WWW Workshop on AI Agent for Information Retrieval: Generating and Ranking (WWW'25-Agent4IR)
• CIKM Workshop on AI Agent for Information Retrieval (CIKM'24-Agent4IR)

Organizer/Chair of other Workshops:

• KDD Workshop on AI for Supply Chain (KDD'25-AI4SupplyChain)
• KDD Workshop on LLMs for Scientific and Societal Advances (KDD'25-SciSoc)

Area of Machine Learning, Data Mining, Big Data, Signal Processing, Wireless Communications, Networks, etc.

• Area Chair, Annual Conference on Neural Information Processing Systems (NeurIPS 2024, NeurIPS 2025)
• Area Chair, International Conference on Machine Learning (ICML 2025, ICML 2026)
• Area Chair, International Conference on Learning Representations (ICLR 2026)
• Area Chair, ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2025)
• Area Chair, The International Joint Conference on Artificial Intelligence (IJCAI 2025)
• Area Chair, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2024, 2025)
• Senior PC Member, The International Joint Conference on Artificial Intelligence (IJCAI 2021, 2023, 2024)
• PC Member, ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2021, 2022, 2023)
• PC Member, The AAAI Conference on Artificial Intelligence (AAAI 2020, 2021, 2022, 2023)
• PC Member, The International Joint Conference on Artificial Intelligence (IJCAI 2019, 2020)
• PC Member, IEEE International Conference on Data Mining (ICDM 2019, 2020)
• PC Member, IEEE International Conference on Big Data (BigData 2017, 2019, 2020)
• PC Member, IEEE Global Communications Conference (GLOBECOM 2017, 2018, 2019, 2020, 2021, 2022, 2023)
• PC Member, IEEE International Conference on Communications (ICC 2018)
• PC Member, IEEE Vehicular Technology Conference (VTC 2017-Fall, 2018-Fall)
• PC Member, IEEE International Workshop on Signal Processing Systems (SiPS 2017, 2018)
• PC Member, The International Conference on Computer Communications and Networks (ICCCN 2017, 2018)
• PC Member, The European Signal Processing Conference (EUSIPCO 2017, 2018)
• Session Chair: IJCAI'19, KDD'21, AAAI'23, KDD'23

Area of Machine Learning, Data Mining, Big Data Analytics and System

• Journal: Nature Computational Science, TPAMI, TKDE, TNNLS, JMLR, // AIJ, AIRE, NEUCOM, MACH, etc.
• Conference: NeurIPS, ICML, ICLR, // AAAI, IJCAI, // KDD, ICDM, BigData, etc.

Area of Signal Processing, Wireless Communications, and Networks

• Journal: TSP, TCOM, TWC, TMC, TON, // SPL, CL, WCL, ELL, DSP, PHYCOM, ETT, JSPS, etc.
• Conference: ICASSP, GlobalSIP, // GLOBECOM, ICC, WCNC, etc.

Area of FPGA, VLSI, Circuit and System

• Journal: TCAS-I, TCAS-II, etc.
• Conference: ISCAS, MWSCAS, etc.

(Topic: AI for Education, Time Series Analysis, Autoscaling, Anomaly Detection, Root Cause Analysis, AIOps, etc.)

• [A9] [Top 100 Most Influential Chinese Elites by Forbes], awarded as one of the Forbes China Top 100 Most Influential Chinese Elites, 2025 [link]
• [A8] [AI in Education Competition 2025 by AIREA, First Runner-Up & Second Runner-Up], Deep K12 math error attribution (First Runner-Up) and MathAgent (Second Runner-Up), 2025 [link]
• [A7] [The 10 Most Visionary EdTech Leaders to Follow in 2025], featured on the cover of The Education Insights Magazine, 2025 [link]
• [A6] [AAAI/IAAI 2025 Innovative Application Award], AI-Driven Virtual Teacher for Enhanced Educational Efficiency; Knowledge Tagging with Large Language Model based Multi-Agent System, 2025.
• [A5] [Most Influential Paper] Qingsong Wen, Tian Zhou, Chaoli Zhang, Weiqi Chen, Ziqing Ma, Junchi Yan, Liang Sun, "Transformers in Time Series: A Survey" was selected as Most Influential IJCAI'23 Papers, Rank 1st (1/700+) (Version: 2023-09)!
• [A4] [AAAI/IAAI 2023 Innovative Application Award], AHPA Autoscaling System in Alibaba Cloud (Media: [Alibaba Middleware] [modb] [copyfuture]); Energy Forecasting System in Alibaba Cloud (Media: [techweb] [geekpark] [chinapower] [sohu]), 2023.
• [A3] [ICASSP Grand Challenge 2022, Gold Prize] Qingsong Wen (Team Leader), Chaoli Zhang, Zhiqiang Zhou, Yingying Zhang, Linxiao Yang, Kai He, Liang Sun, (Team Name: MindOps), "Root Cause Analysis for Wireless Network Fault Localization" (AIOps in Network), Gold Prize (1/382). [link] [link]. Media Coverage: [CSDN] [TechWeb] [LIE YUNWANG], 2022.
• [A2] [Most Influential Paper] Qingsong Wen, Liang Sun, Fan Yang, Xiaomin Song, Jingkun Gao, Xue Wang, Huan Xu, "Time Series Data Augmentation for Deep Learning: A Survey" was selected as Most Influential IJCAI'21 Papers, Rank 1st (1/600+) (Version: 2022-02) & (Version: 2022-05)!
• [A1] [KDD Cup 2021, Top 1%] Chen Zhou, Zhiqiang Zhou, Qingsong Wen, Liang Sun, (Team Name: Insight), "Multi-dataset Time Series Anomaly Detection", Top 1% (6/603). [Oral] [link] [link], 2021.