🏷 About Me
I am currently a 3rd year PhD student in East China Normal University, a member of the Decision Intelligence Lab, advised by Prof. Bin Yang. I earned my bachelor’s degree (2019-2023) at Shanghai University. For more information, you may take a look at my Google Scholar 
Research Interests
My current research interests cover Time Series Analysis, AutoML, Foundation Models, and Agentic Systems. Here are some selected works:
- Time Series Analysis: Focusing on expert models and representation learning (CATCH, DUET, K2VAE, SRSNet);
- AutoML: Supporting fully automated neural architecture search (AutoCTS++, FACTS);
- Foundation Models: Developing general-purpose Sequence Foundation Models (Aurora, FLAME, Horai);
- Agentic Systems: Exploring the potential of agentic systems in real-world applications (ST-EVO, TimeART).
🔥 News
- 2026.01: 🥂🥂 Four of our papers are accepted by ICLR 2026!
- 2025.12: ⭐️⭐️ Time series model (DUET) was selected as one of the most influential papers by Paper Digest.
- 2025.11: 🎉🎉 Our paper "Rethinking Irregular Time Series Forecasting: A Simple yet Effective Baseline" has been accepted as an Oral paper by AAAI 2026!
- 2025.09: 🎈🎈 Our paper "Enhancing Time Series Forecasting through Selective Representation Spaces: A Patch Perspective" has been accepted as a Spotlight Poster by NeurIPS 2025!
- 2025.09: 📑📑 Our paper "DBLoss: Decomposition-based Loss Function for Time Series Forecasting" has been accepted by NeurIPS 2025!
- 2025.05: ⭐️⭐️ Our paper "TAB: Unified Benchmarking of Time Series Anomaly Detection Methods" has been accepted by PVLDB 2025!
- 2025.05: 🎉🎉 Our paper "K2VAE: A Koopman-Kalman Enhanced Variational AutoEncoder for Probabilistic Time Series Forecasting" has been accepted as a Spotlight Poster by ICML 2025!
- 2025.01: 🎈🎈 Our paper "CATCH: Channel-Aware Multivariate Time Series Anomaly Detection via Frequency Patching" has been accepted by ICLR 2025!
- 2024.12: 🏖️🏖️ Our paper "EasyTime: Time Series Forecasting Made Easy" has been accepted by ICDE 2025!
- 2024.11: 🤖🤖 Our paper "DUET: Dual Clustering Enhanced Multivariate Time Series Forecasting" has been accepted by SIGKDD 2025
- 2024.10: ⭐️⭐️ I have been awarded the National Scholarship!
- 2024.08: 🎉🎉 Our paper "TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods" receives VLDB 2024 Best Research Paper Award Nomination!
- 2024.08: 🥂🥂 The AutoCTS series is integrated into the leaderboard for time series analytics, called OpenTS
- 2024.07: 📑📑 Our paper "FACTS: Fully Automated Correlated Time Series Forecasting in Minutes" has been accepted by PVLDB 2025
- 2024.07: 🎓🎓 Our paper "AutoCTS++: Zero-shot Joint Neural Architecture and Hyperparameter Search for Correlated Time Series Forecasting" has been accepted by VLDBJ 2024.
📝 Publications
Accepted Papers
Aurora: Towards Universal Generative Multimodal Time Series Forecasting
🧑💻 Xingjian Wu, Jianxin Jin, Wanghui Qiu, Peng Chen, Yang Shu, Bin Yang, Chenjuan Guo#
🏛️ International Conference on Learning Representations (ICLR), 2026. CORE A*.
🧑💻 Xvyuan Liu, Xiangfei Qiu, Hanyin Cheng, Xingjian Wu, Chenjuan Guo, Bin Yang, Jilin Hu#
🏛️ International Conference on Learning Representations (ICLR), 2026. CORE A*.
Rethinking Irregular Time Series Forecasting: A Simple yet Effective Baseline
🧑💻 Xvyuan Liu*, Xiangfei Qiu*, Xingjian Wu*, Zhengyu Li, Chenjuan Guo, Jilin Hu#, Bin Yang
🏛️ Association for the Advancement of Artificial Intelligence Conference on Artificial Intelligence (AAAI), 2026. CCF A.
🏆 Accepted as an Oral paper (Top 4%).
Enhancing Time Series Forecasting through Selective Representation Spaces: A Patch Perspective
🧑💻 Xingjian Wu, Xiangfei Qiu, Hanyin Cheng, Zhengyu Li, Jilin Hu, Chenjuan Guo, Bin Yang#
🏛️ Conference on Neural Information Processing Systems (NeurIPS), 2025. CCF A.
🏆 Accepted as a Spotlight poster (Top 3.2%).
Decomposition-based Loss Function for Time Series Forecasting
🧑💻 Xiangfei Qiu, Xingjian Wu, Hanyin Cheng, Xvyuan Liu, Chenjuan Guo, Jilin Hu#, Bin Yang
🏛️ Conference on Neural Information Processing Systems (NeurIPS), 2025. CCF A.
K2VAE: A Koopman-Kalman Enhanced Variational AutoEncoder for Probabilistic Time Series Forecasting
🧑💻 Xingjian Wu*, Xiangfei Qiu*, Hongfan Gao, Jilin Hu, Bin Yang#, Chenjuan Guo
🏛️ International Conference on Machine Learning (ICML), 2025. CCF A.
🏆 Accepted as a Spotlight poster (Top 2.6%).
TAB: Unified Benchmarking of Time Series Anomaly Detection Methods
🧑💻 Xiangfei Qiu, Zhe Li, Wanghui Qiu, Shiyan Hu, Lekui Zhou, Xingjian Wu, Zhengyu Li, Chenjuan Guo, Aoying Zhou, Zhenli Sheng, Jilin Hu#, Christian S. Jensen, Bin Yang
🏛️ International Conference on Very Large Databases (PVLDB), 2025. CCF A.
CATCH: Channel-Aware Multivariate Time Series Anomaly Detection via Frequency Patching
🧑💻 Xingjian Wu, Xiangfei Qiu, Zhengyu Li, Yihang Wang, Jilin Hu, Chenjuan Guo, Hui Xiong, Bin Yang#
🏛️ International Conference on Learning Representations (ICLR), 2025. CORE A*.
EasyTime: Time Series Forecasting Made Easy
🧑💻 Xiangfei Qiu*, Xiuwen Li*, Ruiyang Pang*, Zhicheng Pan*, Xingjian Wu*, Liu Yang*, Jilin Hu, Yang Shu, Xuesong Lu, Chengcheng Yang, Chenjuan Guo, Aoying Zhou, Christian S. Jensen and Bin Yang#.
🏛️ IEEE International Conference on Data Engineering (ICDE), 2025. CCF A.
DUET: Dual Clustering Enhanced Multivariate Time Series Forecasting
🧑💻 Xiangfei Qiu, Xingjian Wu, Yan Lin, Chenjuan Guo, Jilin Hu#, Bin Yang
🏛️ ACM Knowledge Discovery and Data Mining (SIGKDD), 2025. CCF A.
Fully Automated Correlated Time Series Forecasting in Minutes
🧑💻 Xinle Wu, Xingjian Wu, Dalin Zhang, Miao Zhang, Chenjuan Guo, Bin Yang#, Christian S. Jensen
🏛️ International Conference on Very Large Databases (PVLDB), 2025. CCF A.
🧑💻 Xinle Wu*, Xingjian Wu*, Bin Yang#, Lekui Zhou, Chenjuan Guo, Xiangfei Qiu, Jilin Hu, Zhenli Sheng, Christian S. Jensen
🏛️ VLDB Journal (VLDBJ), 2024. CCF A.
TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods
🧑💻 Xiangfei Qiu, Jilin Hu#, Lekui Zhou, Xingjian Wu, Junyang Du, Buang Zhang, Chenjuan Guo, Aoying Zhou, Christian S. Jensen, Zhenli Sheng, Bin Yang
🏛️ International Conference on Very Large Databases (PVLDB), 2024. CCF A.
Preprints
ST-EVO: Towards Generative Spatio-Temporal Evolution of Multi-Agent Communication Topologies
🧑💻 Xingjian Wu, Xvyuan Liu, Junkai Lu, Siyuan Wang, Xiangfei Qiu, Yang Shu, Jilin Hu, Chenjuan Guo, Bin Yang#
arXiv preprint, 2026.
TimeART: Towards Agentic Time Series Reasoning via Tool-Agumentation
🧑💻 Xingjian Wu, Junkai Lu, Zhengyu Li, Xiangfei Qiu, Jilin Hu, Chenjuan Guo, Christian S. Jensen, Bin Yang#
arXiv preprint, 2026.
FLAME: Flow Enhanced Legendre Memory Models for General Time Series Forecasting
🧑💻 Xingjian Wu, Hanyin Cheng, Xiangfei Qiu, Zhengyu Li, Jilin Hu, Chenjuan Guo, Bin Yang#
arXiv preprint, 2025.
Task-Aware Mixture-of-Experts for Time Series Analysis
🧑💻 Xingjian Wu, Zhengyu Li, Hanyin Cheng, Xiangfei Qiu, Jilin Hu, Chenjuan Guo, Bin Yang#
arXiv preprint, 2025.
🧑💻 Xiangfei Qiu, Liu Yang, Hanyin Cheng, Xingjian Wu, Rongjia Wu, Zhigang Zhang, Ding Tu, Chenjuan Guo, Bin Yang, Christian S. Jensen, Jilin Hu#
arXiv preprint, 2025.
🧑💻 Xiangfei Qiu, Xvyuan Liu, Tianen Shen, Xingjian Wu, Hanyin Cheng, Bin Yang, Jilin Hu#
arXiv preprint, 2026.
🧑💻 Xiangfei Qiu, Kangjia Yan, Xvyuan Liu, Xingjian Wu, Jilin Hu#
arXiv preprint, 2026.
DAG: A Dual Causal Network for Time Series Forecasting with Exogenous Variables
🧑💻 Xiangfei Qiu, Yuhan Zhu, Zhengyu Li, Hanyin Cheng, Xingjian Wu, Chenjuan Guo, Bin Yang, Jilin Hu#
arXiv preprint, 2025.
🧑💻 Xiangfei Qiu, Hanyin Cheng, Xingjian Wu, Jilin Hu, Chenjuan Guo, Bin Yang
arXiv preprint, 2025.
Empowering Time Series Analysis with Large-Scale Multimodal Pretraining
🧑💻 Peng Chen, Siyuan Wang, Shiyan Hu, Xingjian Wu, Yang Shu, Zhongwen Rao, Meng Wang, Yijie Li, Bin Yang, Chenjuan Guo#
arXiv preprint, 2025.
*Equal Contribution, # Corresponding Author. More working drafts / preprints under review will be released later ⌛️
🎓 Educations
- 2016.09 - 2019.06 |
High School Affiliated to Fudan University - 2019.09 - 2023.06 |
Bachelor in Computer Science (Shanghai University) - 2023.09 - 2028.06 (Expected) |
PhD in Data Science (East China Normal University)
🎖 Honors and Awards
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2025.12 PaperDigest Most Influential Paper
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2025.10 First-class Scholarship for Academic Excellence
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2024.10 National Scholarship
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2024.11 Outstanding Student of East China Normal University
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2024.08 VLDB Best Research Paper Award Nomination
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2023.08 Outstanding Graduate of Shanghai University
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2023.06 Ministry of Education-Huawei, Future Star Scholarship
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2022.12 ASC STUDENT SUPERCOMPUTER CHALLENGE, (International Second Prize)
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2021.10 Outstanding Student of Shanghai University
💬 Invited Talks
- 2025.12 The 45th Academic Salon of DASE, ECNU.
- 2025.04 Conduct a popular science lecture on large language models for Shanghai No.1 Welfare Institute (a department - level unit).
- 2025.03 Conduct a popular science lecture on large language models for Shanghai Art & Design Academy (a department - level unit).
💻 Applications
- aurora-model: A PyPI package for Multimodal Time Series Forecasting.
- AutoCTS series: AutoML for Time Series analytics.
- EasyTime: Time Series Forecasting Made Easy.
📖 Services
- 2026.02 Proceedings Chair of ST-FM Workshop at MDM26.
- 2026.02 PC Member of International Conference on Machine Learning (ICML 2026), (Main Track).
- 2026.02 PC Member of International Joint Conference on Artificial Intelligence (IJCAI 2026), (Main & Survey Track).
- 2025.10 PC Member of International Conference on Learning Representations (ICLR 2026), (Main Track).
- 2025.08 PC Member of Association for the Advancement of Artificial Intelligence (AAAI 2026), (Main Technical Track).
- 2025.02 PC Member of International Joint Conference on Artificial Intelligence (IJCAI 2025), (Main & Survey Track).
- 2024.12 PC Member of International Conference on Learning Representations (ICLR 2025), (Main Track).
💼 Attendance
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2026.01 Annual AAAI Conference on Artificial Intelligence (AAAI 2026)
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2025.12 China Data 2025
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2025.10 China National Computer Congress (CNCC 2025)
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2025.09 CCF Big Data 2025
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2025.08 National Database Conference (NDBC 2025)
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2025.07 International Conference on Machine Learning (ICML 2025)
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2025.04 International Conference on Learning Representations (ICLR 2025)
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2024.12 Pujiang AI Academic Conference
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2024.08 National Database Conference (NDBC 2024)