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Qingsong Wen, Ph.D. of Georgia Tech
Head of AI & Chief Scientist @ Squirrel Ai Learning, PhD Supervisor @ University of Oxford
Chair of CIS Task Force on AI for Time Series and Spatio-Temporal Data @ IEEE
Vice Chair of AI for Education Section @ INNS
Forbes Top 100 Most Influential Chinese Elites (福布斯中国全球最具影响力华人精英 Top 100)
Email: qingsongedu AT gmail DOT com
About:
About:
Qingsong Wen is currently the Head of AI & Chief Scientist at Squirrel Ai Learning (a top EdTech unicorn with 3,000+ learning centers across 1,500+ cities, serving tens of millions of students globally), and PhD Supervisor at University of Oxford. Before that, he worked at Alibaba, Qualcomm, Marvell, etc., and received his M.S. and Ph.D. degrees in Electrical and Computer Engineering from Georgia Institute of Technology, USA. His research interests include machine learning, data mining, and signal processing, especially AI for Time Series, AI for Education, LLM & AI Agent. He has published over 150 top-ranked AI conference and journal papers, had multiple Oral/Spotlight Papers at NeurIPS, ICML, ICLR, ACL, AAAI, had multiple Most Influential Papers at IJCAI, received multiple IAAI Innovative Application Awards at AAAI, and won First Place of SP Grand Challenge at ICASSP. Currently, he serves as Chair of IEEE CIS Task Force on AI for Time Series and Spatio-Temporal Data, and Vice Chair of INNS AI for Education Section. He also regularly serves as Area Chair of the top conferences including NeurIPS, ICML, ICLR, KDD, IJCAI, ICASSP, etc, and Associate Editor for IEEE Transactions on Pattern Analysis and Machine Intelligence (IF=20.8).
R&D Interests: AI for Time Series, AI for Education, LLM & AI Agent
Recent News:
Recent News:
Hiring Research Interns & Applied/Research Scientists (Seattle & Shanghai & Remote) in LLM & AI Agent, AI for Education, AI for Time Series! Please send me CV if you are interested.
11/2025: [KDD x 4] Four papers (on LLM, RAG, Education, Time Series, etc.) were accepted by KDD 2026!
11/2025: Will serve as an Area Chair for ICML 2026!
11/2025: [Top 100 Most Influential Chinese Elites by Forbes], awarded as one of the 2025 Forbes China Top 100 Most Influential Chinese Elites!
11/2025: [AAAI x 4] Four papers (on LLM, Agent, Time Series, etc.) were accepted by AAAI 2026!
10/2025: Will serve as Program Co-Chair of IEEE CYB 2026!
10/2025: Will serve as PC Chair (Surveys and Vision Track ) of IEEE DSAA 2026!
09/2025: Honored to be featured in the Industry Corner of the IEEE SMC Society eNewsletter!
09/2025: [NeurIPS x 5] Five papers related to LLM, XAI, and Time Series were accepted by NeurIPS 2025!
09/2025: One paper was selected as a "Spotlight" at NeurIPS 2025 (Top 3.5%)!
09/2025: [EMNLP x 4] Four papers (on Education, LLM, Agent, etc.) were accepted by EMNLP 2025!
09/2025: Glad that we won the First Runner-Up & Second Runner-Up awards at the AI in Education Competition 2025 by AIREA!
09/2025: One tutorial titled "Foundation Models for Time Series Analysis: A Tutorial" was accepted by AAAI 2026 Tutorials!
08/2025: Glad that we will organize AAAI 2026 Workshop on AI for Time Series (AAAI'26-AI4TS)!
08/2025: Glad that we will organize ACM ICAIF 2025 Workshop on Rethinking Financial Time-Series!
08/2025: Will serve as an Area Chair for ICLR 2026!
08/2025: [TPAMI x 1] One paper on AI for Time Series was accepted by IEEE TPAMI (IF=20.8)!
07/2025: [SPM x 2] Two papers on LLM for Education and Brain Foundation Model were accepted by IEEE Signal Processing Magazine (IF=9.6)!
07/2025: [MM x 2] Two papers on MLLM and VLM were accepted by MM 2025!
05/2025: [ACL x 5] Five papers (on Agent, LLM, Education, Time Series, etc.) were accepted by ACL 2025!
05/2025: [KDD x 8] Eight papers (on Agent, LLM, Education, Time Series, etc.) were accepted by KDD 2025!
05/2025: We will organize Four Workshops (Time Series, Supply Chain, Information Retrieval, and Societal Advances) at KDD 2025!
05/2025: We will organize Three lecture-style Tutorials (on LLM Agent, Time Series, and Spatio-Temporal Data) at KDD 2025!
05/2025: Glad to serve as Associate Editor for IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) (Top AI Journal, IF=20.8)!
05/2025: Glad to serve as Chair for IEEE CIS Task Force on AI for Time Series and Spatio-Temporal Data!
05/2025: [ICML x 2] Two papers were accepted by ICML 2025!
05/2025: Will give a Keynote Talk on AI for Education at 2025 IEEE SMC Society Workshop on AI Applications and Challenges!
04/2025: Two papers were accepted by IJCAI 2025!
03/2025: Glad that we will organize IJCAI 2025 Workshop on AI for Time Series (IJCAI'25-AI4TS)!
03/2025: Featured on the cover of The Education Insights Magazine as one of “𝐓𝐡𝐞 10 𝐌𝐨𝐬𝐭 𝐕𝐢𝐬𝐢𝐨𝐧𝐚𝐫𝐲 𝐄𝐝𝐓𝐞𝐜𝐡 𝐋𝐞𝐚𝐝𝐞𝐫𝐬 𝐭𝐨 𝐅𝐨𝐥𝐥𝐨𝐰 𝐢𝐧 2025”!
03/2025: One tutorial titled Advancing Human-Machine Systems in Education was accepted by IEEE SMC 2025 Tutorials!
02/2025: One tutorial titled Multimodal Learning for Spatio-Temporal Data Mining was accepted by ACM MM 2025 Tutorials!
02/2025: Will serve as Workshop Co-Chair of IEEE SMC 2026!
02/2025: Will serve as an Area Chair for NeurIPS 2025!
02/2025: [TPAMI x 1] One paper on GNN for Time Series was accepted by IEEE TPAMI (IF=20.8)!
02/2025: One paper was selected as a "Spotlight" at ICLR 2025 (Top 5%)!
01/2025: [ICLR x 3] Three papers were accepted by ICLR 2025!
01/2025: [VLDB x 2] Two papers were accepted by VLDB 2025!
01/2025: Will give a Keynote Talk on AI for Education at 2025 IEEE International Conference on Human-Machine Systems!
01/2025: Will give a Keynote Talk on AI for Time Series at AAAI'25 Time Series Workshop!
12/2024: Glad to give a Keynote Talk on AI for Time Series at NeurIPS'24 Time Series Workshop!
12/2024: Will give a Practitioner Talk on AI for Time Series at 45th International Symposium on Forecasting (IJF)!
12/2024: Will serve as an Area Chair for ICML 2025!
12/2024: [AAAI x 4] Four papers were accepted by AAAI 2025!
11/2024: Glad that our papers on AI for Education at AAAI 2025 will receive two AAAI/IAAI Innovative Application Awards!
11/2024: Will serve as an Area Chair for IJCAI 2025!
11/2024: Glad that we will organize SDM 2025 Workshop on AI for Time Series (SDM'25-AI4TS)!
11/2024: Glad that we will organize Three Workshops at WWW 2025 (Time Series, Spatio-Temporal Data, AI Agent)!
10/2024: One tutorial titled "Foundation Models for Time Series Analysis: A Tutorial" was accepted by AAAI 2025 Tutorials!
09/2024: Glad that we will organize Three Workshops at AAAI 2025 (AI for Time Series, AI for Education, AI Agent for Information Retrieval).
09/2024: [NeurIPS x 7] Seven papers related to Time Series, LLM, and GNN were accepted by NeurIPS 2024!
09/2024: Two papers on LLM for Financial and Investment Management were accepted by JPM!
09/2024: Glad that we will organize ACM ICAIF Workshop on Foundation Models for Time Series (ICAIF'24-FM4TS)!
09/2024: One paper was accepted by IEEE TKDE!
08/2024: [TPAMI x 1] One paper on GNN for Time Series was accepted by IEEE TPAMI (IF=20.8)!
08/2024: Will serve as Area Chair for KDD 2025 and ICASSP 2025!
07/2024: Three papers on AI Agent, AIOps, and Time Series were accepted by CIKM 2024!
06/2024: Glad that we will organize ACM CIKM 2024 Workshop on AI Agent for Information Retrieval (CIKM'24-Agent4IR)!
06/2024: [New Products] Our products, powered by AI for Education, were launched at Squirrel AI [Media: AI Era, QbitAI, Synced]!
06/2024: Glad to serve as Vice Chair for INNS AI for Education Section!
05/2024: Will serve as an Area Chair for NeurIPS 2024!
05/2024: [KDD x 4] Four papers related to LLM, AIOps, and Time Series were accepted by KDD 2024!
05/2023: One Tutorial titled "Foundation Models for Time Series Analysis" was accepted by KDD 2024 Tutorials!
05/2024: [ICML x 2] Two papers on LLM for Time Series and Time Series Imputation were accepted by ICML 2024!
05/2024: One paper was selected as a "Spotlight" at ICML 2024 (Top 3.5%)!
05/2024: Honored to be featured in an Exclusive Interview with Synced (Jiqizhixin)!
04/2024: [TPAMI x 1] One paper on Self-Supervised Learning for Time Series was accepted by IEEE TPAMI (IF=23.6)!
04/2024: One paper on Foundation Models for Education was accepted by IEEE Intelligent Systems (IF=6.4)!
04/2024: Serve as Associate Editor for IEEE Signal Processing Letters!
03/2024: Glad that we will organize KDD 2024 Workshop on AI for Education (KDD'24-AI4EDU)!
03/2024: Glad that we will organize KDD 2024 Workshop on Mining and Learning from Time Series (KDD'24-MiLeTS)!
03/2024: Glad that we will organize IJCAI 2024 Workshop on AI for Time Series (IJCAI'24-AI4TS)!
03/2024: One paper was accepted by ICDE 2024!
01/2024: [WWW x 2] Two papers were accepted by WWW 2024!
01/2024: [ICLR x 7] Seven papers were accepted by ICLR 2024 (related to Time Series, LLM, Transformer, GNN, XAI, TPP, and all are Open-Sourced)!
01/2024: One paper was selected as a "Spotlight" at ICLR 2024 (Top 5%)!
01/2024: Glad that we will organize IEEE CAI 2024 Workshop on AI for Education (CAI'24-AI4EDU)!
11/2023: One paper titled "Weakly Guided Adaptation for Robust Time Series Forecasting" was accepted by VLDB 2024!
11/2023: Glad that we will organize SDM 2024 Workshop on AI for Time Series (SDM'24-AI4TS)!
09/2023: Glad that we will organize AAAI 2024 Workshop on AI for Time Series (AAAI'24-AI4TS)!
09/2023: [NeurIPS x 2] Two papers on Time Series Forecasting and Anomaly Detection were accepted by NeurIPS 2023!
09/2023: One IJCAI'23 paper titled "Transformers in Time Series: A Survey" was selected as Most Influential IJCAI Papers, Rank 1st (1/700+)!
09/2023: One tutorial titled "Robust Time Series Analysis and Applications: An Interdisciplinary Approach" was accepted by ICDM 2023 Tutorials!
09/2023: Will serve as an Area Chair for ICASSP 2024!
06/2023: Served as Guest Editor of the Special Issue on "Energy Internet: A Cyber-Physical-Social Perspective" at IEEE Internet of Things Journal (IF=10.6)!
05/2023: One paper on Time Series Anomaly Detection was accepted by KDD 2023!
05/2023: One paper titled "MagicScaler: Uncertainty-aware, Predictive Autoscaling" was accepted by VLDB 2023!
04/2023: One paper titled "Transformers in Time Series: A Survey" was accepted by IJCAI 2023!
04/2023: Glad that we will organize KDD 2023 Workshop on Mining and Learning from Time Series (KDD'23-MiLeTS)!
03/2023: Glad that we will organize IJCAI 2023 Workshop on AI for Time Series (IJCAI'23-AI4TS)!
03/2023: Glad that we will organize ICDM 2023 Workshop on AI for Time Series (ICDM'23-AI4TS)!
03/2023: Three papers on Load Forecasting were accepted by IEEE TSG (IF=10.275)!
02/2023: Honored to be elevated to IEEE Senior Member!
01/2023: Six Patent Applications on Time Series and AIOps would be filed!
12/2022: Will serve as an SPC/PC Member for IJCAI & KDD 2023!
11/2022: Honored to be elected as a Member of the IEEE Machine Learning for Signal Processing Technical Committee (MLSP TC)!
11/2022: One paper on large-scale air quality prediction using Transformer was accepted by AAAI 2023!
10/2022: Honored to be invited to give a Talk on Robust and Intelligent Time Series Analysis and Application at CS Dept. of Tsinghua University!
10/2022: Two papers on Cloud Autoscaling and Energy Forecasting Systems were accepted by AAAI/IAAI 2023 with two AAAI/IAAI Innovative Application Awards!
10/2022: Our paper on Time Series Forecasting was selected as an "Oral" at NeurIPS 2022 (Top 2%)!
09/2022: [NeurIPS x 2] Two papers on Time Series Forecasting and Temporal Event Prediction were accepted by NeurIPS 2022!
09/2022: [New Product] Our product "Accurate and Trustworthy Energy Forecasting", powered by Intelligent Time Series and Decision, was launched at Alibaba Cloud!
07/2022: Honored to be invited at 2022 CIKM Workshop on Applied Machine Learning Methods for Time Series Forecasting to give a Keynote Talk!
07/2022: [PIEEE x 1] One paper titled "A Cyber-Physical-Social Perspective on Future Smart Distribution Systems" was accepted by Proceedings of the IEEE!
05/2022: [ICML x 1] One paper titled "FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting" was accepted by ICML 2022!
05/2022: One tutorial titled "Robust Time Series Analysis and Applications: An Industrial Perspective" was accepted by KDD 2022 Tutorials!
05/2022: One paper titled "Learning to Rotate: Quaternion Transformer for Complicated Periodical Time Series Forecasting" was accepted by KDD 2022!
04/2022: One paper titled "Robust Load Forecasting towards Adversarial Attacks via Bayesian Learning" was accepted by IEEE TPWRS (IF=7.326)!
04/2022: One paper titled "Learning Robust Deep State Space for Unsupervised Anomaly Detection in Contaminated Time-Series" was accepted by IEEE TKDE (IF=9.235)!
03/2022: One paper titled "RobustScaler: QoS-Aware Autoscaling for Complex Workloads" was accepted by ICDE 2022 (see Mo4Tech, Alicloudnative)!
03/2022: Served as Guest Editor of the Special Issue on "Data Openness and Sharing for Low Carbon Energy Systems" at Applied Energy (IF=11.446)!
03/2022: [New Product] Our product "Advanced Horizontal Pod Autoscaler", powered by our Intelligent Time Series and Decision, was launched at Alibaba Cloud (Aliyun Developer, InfoQ)!
02/2022: Our team obtained "Root Cause Analysis for Wireless Network Fault Localization"(AIOps Challenge), 2022 ICASSP Grand Challenge, 1st Place (1/382)!
02/2022: One IJCAI'21 paper titled "Time Series Data Augmentation for Deep Learning: A Survey" was selected as Most Influential IJCAI Papers, Rank 1st (1/600+)!
01/2022: One US Patent titled "Change of Variance Detection in Time Series Data" was granted!
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