Xingjian Wu

According to our database, Xingjian Wu authored at least 33 papers between 2009 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Differentiable Mixture-of-Agents Incentivizes Swarm Intelligence of Large Language Models.

Xingjian Wu, Junkai Lu, Siyu Yan, Xiangfei Qiu, Jilin Hu, Chenjuan Guo, Bin Yang

CoRR, May, 2026

CoRA: Boosting Time Series Foundation Models for Multivariate Forecasting through Correlation-aware Adapter.

Hanyin Cheng, Xingjian Wu, Yang Shu, Zhongwen Rao, Lujia Pan, Bin Yang, Chenjuan Guo

CoRR, March, 2026

GCGNet: Graph-Consistent Generative Network for Time Series Forecasting with Exogenous Variables.

Zhengyu Li, Xiangfei Qiu, Yuhan Zhu, Xingjian Wu, Jilin Hu, Chenjuan Guo, Bin Yang

CoRR, March, 2026

PATRA: Pattern-Aware Alignment and Balanced Reasoning for Time Series Question Answering.

Junkai Lu, Peng Chen, Xingjian Wu, Yang Shu, Chenjuan Guo, Christian S. Jensen, Bin Yang

CoRR, February, 2026

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

CoRR, February, 2026

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

CoRR, February, 2026

SEER: Transformer-based Robust Time Series Forecasting via Automated Patch Enhancement and Replacement.

Xiangfei Qiu, Xvyuan Liu, Tianen Shen, Xingjian Wu, Hanyin Cheng, Bin Yang, Jilin Hu

CoRR, February, 2026

Bridging Time and Frequency: A Joint Modeling Framework for Irregular Multivariate Time Series Forecasting.

Xiangfei Qiu, Kangjia Yan, Xvyuan Liu, Xingjian Wu, Jilin Hu

CoRR, February, 2026

TimeART: Towards Agentic Time Series Reasoning via Tool-Augmentation.

Xingjian Wu, Junkai Lu, Zhe Li, Xiangfei Qiu, Jilin Hu, Chenjuan Guo, Christian S. Jensen, Bin Yang

CoRR, January, 2026

Towards Efficient 3D Object Detection for Vehicle-Infrastructure Collaboration via Risk-Intent Selection.

Li Wang, Boqi Li, Hang Chen, Xingjian Wu, Yichen Wang, Jiewen Tan, Xinyu Zhang, Huaping Liu

CoRR, January, 2026

Rethinking Irregular Time Series Forecasting: A Simple Yet Effective Baseline.

Xvyuan Liu, Xiangfei Qiu, Xingjian Wu, Zhengyu Li, Chenjuan Guo, Jilin Hu, Bin Yang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

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

CoRR, December, 2025

DBLoss: Decomposition-based Loss Function for Time Series Forecasting.

Xiangfei Qiu, Xingjian Wu, Hanyin Cheng, Xvyuan Liu, Chenjuan Guo, Jilin Hu, Bin Yang

CoRR, October, 2025

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

CoRR, October, 2025

Multi-Scale Spatial-Temporal Hypergraph Network with Lead-Lag Structures for Stock Time Series Forecasting.

Xiangfei Qiu, Liu Yang, Hanyin Cheng, Xingjian Wu, Rongjia Wu, Zhigang Zhang, Ding Tu, Chenjuan Guo, Bin Yang, Christian S. Jensen, Jilin Hu

CoRR, September, 2025

ASTGI: Adaptive Spatio-Temporal Graph Interactions for Irregular Multivariate Time Series Forecasting.

Xvyuan Liu, Xiangfei Qiu, Hanyin Cheng, Xingjian Wu, Chenjuan Guo, Bin Yang, Jilin Hu

CoRR, September, 2025

Aurora: Towards Universal Generative Multimodal Time Series Forecasting.

Xingjian Wu, Jianxin Jin, Wanghui Qiu, Peng Chen, Yang Shu, Bin Yang, Chenjuan Guo

CoRR, September, 2025

Unlocking the Power of Mixture-of-Experts for Task-Aware Time Series Analytics.

Xingjian Wu, Zhengyu Li, Hanyin Cheng, Xiangfei Qiu, Jilin Hu, Chenjuan Guo, Bin Yang

CoRR, September, 2025

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

CoRR, September, 2025

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

Proc. VLDB Endow., May, 2025

K²VAE: A Koopman-Kalman Enhanced Variational AutoEncoder for Probabilistic Time Series Forecasting.

Xingjian Wu, Xiangfei Qiu, Hongfan Gao, Jilin Hu, Bin Yang, Chenjuan Guo

CoRR, May, 2025

A Comprehensive Survey of Deep Learning for Multivariate Time Series Forecasting: A Channel Strategy Perspective.

Xiangfei Qiu, Hanyin Cheng, Xingjian Wu, Jilin Hu, Chenjuan Guo

CoRR, February, 2025

DUET: Dual Clustering Enhanced Multivariate Time Series Forecasting.

Xiangfei Qiu, Xingjian Wu, Yan Lin, Chenjuan Guo, Jilin Hu, Bin Yang

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

K2VAE: A Koopman-Kalman Enhanced Variational AutoEncoder for Probabilistic Time Series Forecasting.

Xingjian Wu, Xiangfei Qiu, Hongfan Gao, Jilin Hu, Bin Yang, Chenjuan Guo

Proceedings of the Forty-second International Conference on Machine Learning, 2025

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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

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, Bin Yang

Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

2024

Fully Automated Correlated Time Series Forecasting in Minutes.

Xinle Wu, Xingjian Wu, Dalin Zhang, Miao Zhang, Chenjuan Guo, Bin Yang, Christian S. Jensen

Proc. VLDB Endow., October, 2024

AutoCTS++: zero-shot joint neural architecture and hyperparameter search for correlated time series forecasting.

Xinle Wu, Xingjian Wu, Bin Yang, Lekui Zhou, Chenjuan Guo, Xiangfei Qiu, Jilin Hu, Zhenli Sheng, Christian S. Jensen

VLDB J., September, 2024

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

Proc. VLDB Endow., May, 2024

Flexible Chitosan-Based Capacitive Humidity Sensors for Respiratory Monitoring.

Miaoxin Pan, Jumei Zhou, Shichen Weng, Xingjian Wu

Sensors, March, 2024

Comparative Analysis of Learning-Based Methods for Transient Stability Assessment.

Xingjian Wu, Xiaoting Wang, Xiaozhe Wang, Peter E. Caines, Jingyu Liu

CoRR, 2024

2009

Probabilistic Constrained MPC for Multiplicative and Additive Stochastic Uncertainty.

Mark Cannon, Basil Kouvaritakis, Xingjian Wu

IEEE Trans. Autom. Control., 2009

Model predictive control for systems with stochastic multiplicative uncertainty and probabilistic constraints.

Mark Cannon, Basil Kouvaritakis, Xingjian Wu

Autom., 2009