Zhongwen Rao

According to our database, Zhongwen Rao authored at least 13 papers between 2023 and 2025.

Collaborative distances:

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

2025

LightGTS: A Lightweight General Time Series Forecasting Model.

Yihang Wang, Yuying Qiu, Peng Chen, Yang Shu, Zhongwen Rao, Lujia Pan, Bin Yang, Chenjuan Guo

CoRR, June, 2025

ChronoSteer: Bridging Large Language Model and Time Series Foundation Model via Synthetic Data.

Chengsen Wang, Qi Qi, Zhongwen Rao, Lujia Pan, Jingyu Wang, Jianxin Liao

CoRR, May, 2025

Air Quality Prediction with Physics-Guided Dual Neural ODEs in Open Systems.

Jindong Tian, Yuxuan Liang, Ronghui Xu, Peng Chen, Chenjuan Guo, Aoying Zhou, Lujia Pan, Zhongwen Rao, Bin Yang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Towards a General Time Series Anomaly Detector with Adaptive Bottlenecks and Dual Adversarial Decoders.

Qichao Shentu, Beibu Li, Kai Zhao, Yang Shu, Zhongwen Rao, Lujia Pan, Bin Yang, Chenjuan Guo

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

AimTS: Augmented Series and Image Contrastive Learning for Time Series Classification.

Yuxuan Chen, Shanshan Huang, Yunyao Cheng, Peng Chen, Zhongwen Rao, Yang Shu, Bin Yang, Lujia Pan, Chenjuan Guo

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

2024

Exploiting counter-examples for active learning with partial labels.

Fei Zhang, Yunjie Ye, Lei Feng, Zhongwen Rao, Jieming Zhu, Marcus Kalander, Chen Gong, Jianye Hao, Bo Han

Mach. Learn., June, 2024

MTS-UNMixers: Multivariate Time Series Forecasting via Channel-Time Dual Unmixing.

Xuanbing Zhu, Dunbin Shen, Zhongwen Rao, Huiyi Ma, Yingguang Hao, Hongyu Wang

CoRR, 2024

Air Quality Prediction with Physics-Informed Dual Neural ODEs in Open Systems.

Jindong Tian, Yuxuan Liang, Ronghui Xu, Peng Chen, Chenjuan Guo, Aoying Zhou, Lujia Pan, Zhongwen Rao, Bin Yang

CoRR, 2024

ROSE: Register Assisted General Time Series Forecasting with Decomposed Frequency Learning.

Yihang Wang, Yuying Qiu, Peng Chen, Kai Zhao, Yang Shu, Zhongwen Rao, Lujia Pan, Bin Yang, Chenjuan Guo

CoRR, 2024

Enhancing Multivariate Time Series Forecasting with Mutual Information-driven Cross-Variable and Temporal Modeling.

Shiyi Qi, Liangjian Wen, Yiduo Li, Yuanhang Yang, Zhe Li, Zhongwen Rao, Lujia Pan, Zenglin Xu

CoRR, 2024

2023

MTS-Mixers: Multivariate Time Series Forecasting via Factorized Temporal and Channel Mixing.

Zhe Li, Zhongwen Rao, Lujia Pan, Zenglin Xu

CoRR, 2023

Ti-MAE: Self-Supervised Masked Time Series Autoencoders.

Zhe Li, Zhongwen Rao, Lujia Pan, Pengyun Wang, Zenglin Xu

CoRR, 2023

SMARTformer: Semi-Autoregressive Transformer with Efficient Integrated Window Attention for Long Time Series Forecasting.

Yiduo Li, Shiyi Qi, Zhe Li, Zhongwen Rao, Lujia Pan, Zenglin Xu

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023