Services & Awards

[Recent Services]

Organizer of Conference/Workshop:

Organizer/Chair of Workshop on AI for Time Series (AI4TS @ AAAI, IJCAI, KDD, ICDM, SDM)

• KDD 2024 Workshop on Mining and Learning from Time Series (KDD'24-MiLeTS) [Link]

• KDD 2023 Workshop on Mining and Learning from Time Series (KDD'23-MiLeTS) [Link]

• IJCAI 2024 Workshop on AI for Time Series Analysis: Theory, Algorithms, and Applications (IJCAI'24-AI4TS) [Link]

• IJCAI 2023 Workshop on AI for Time Series Analysis: Theory, Algorithms, and Applications (IJCAI'23-AI4TS) [Link]

• AAAI 2024 Workshop on AI for Time Series Analysis: Theory, Algorithms, and Applications (AAAI'24-AI4TS) [Link]

• SDM 2024 Workshop on AI for Time Series Analysis: Theory, Algorithms, and Applications (SDM'24-AI4TS) [Link]

• ICDM 2023 Workshop on AI for Time Series Analysis: Theory, Algorithms, and Applications (ICDM'23-AI4TS) [Link]

Organizer/Chair of Workshop on AI for Education (AI4EDU @ KDD, CAI)

• KDD 2024 Workshop on AI for Education (AI4EDU): Advancing Personalized Education with LLM and Adaptive Learning (KDD'24-AI4EDU) [Link]

• IEEE CAI 2024 Workshop on AI for Education: Exploring LLMs and Adaptive Learning for Personalized Education (CAI'24-AI4EDU) [Link]

Editor of Journal:

Associate Editor, Neurocomputing (IF: 6.0), since 02/2020

Associate Editor, IEEE Signal Processing Letters (IF: 3.9), since 04/2024

Guest Editor, IEEE Internet of Things Journal (IF: 10.6, JCR Q1), Paper deadline: 1/1/2024

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

Guest Editor, Applied Energy (IF: 11.2, JCR Q1) and Advances in Applied Energy, 03/2022

• Joint Special Issue on "Data Openness and Sharing for Low Carbon Energy Systems" [link1], [link2]

Guest Editor, Pattern Recognition (IF: 8.0, JCR Q1), Coming Soon

• Special Issue on "Graph Databases, Graph Computing, Graph Representation Learning, Knowledge Graph for Energy Internet: Theory, Models, Algorithms and Applications".

Area Chair/Session Chair/(S)PC of Conference:

Area of Machine Learning, Data Mining, and Big Data

• PC Member, ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2021, 2022, 2023)

  • Senior PC Member, The International Joint Conference on Artificial Intelligence (IJCAI 2021, 2023, 2024)

  • 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)

  • Session Chair: IJCAI'19, KDD'21, AAAI'23, KDD'23

Area of Signal Processing, Wireless Communications, and Networks

• • Area Chair, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2024)

• 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)

Reviewer of Journal/Conference:

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

• • Journal: JMLR, TPAMI, TKDE, TNNLS, // 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.

Professional Membership

• Committee of IEEE Machine Learning for Signal Processing Technical Committee (MLSP TC)

• IEEE Senior Member

• ACM/AAAI/CAAI/CCF Member

[Recent Awards]

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

• [A6] [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)! 

• [A5] [AAAI/IAAI 2023 Deployed Application Award], for AHPA Autoscaling System in Alibaba Cloud, 2023. Media Coverage: [Alibaba Middleware] [modb] [copyfuture] 

• [A4] [AAAI/IAAI 2023 Deployed Application Award], for Energy Forecasting System in Alibaba Cloud, 2023. Media Coverage: [techweb] [geekpark] [chinapower] [sohu]

• [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.