Jiecheng Lu

According to our database, Jiecheng Lu authored at least 13 papers between 2024 and 2026.

Collaborative distances:

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

2026

CAST: Causal Anchored Simplex Transport for Distribution-Valued Time Series.

Jiecheng Lu, Jieqi Di, Runhua Wu, Yuwei Zhou

CoRR, May, 2026

Beyond Similarity: Temporal Operator Attention for Time Series Analysis.

Jevon Twitty, Vinh Pham, Nitiwith Rotchanarak, Viresh Pati, Yubin Kim, Shihao Yang, Jiecheng Lu

CoRR, May, 2026

HyperMLP: An Integrated Perspective for Sequence Modeling.

Jiecheng Lu, Shihao Yang

CoRR, February, 2026

StretchTime: Adaptive Time Series Forecasting via Symplectic Attention.

Yubin Kim, Viresh Pati, Jevon Twitty, Vinh Pham, Shihao Yang, Jiecheng Lu

CoRR, February, 2026

Free Energy Mixer.

Jiecheng Lu, Shihao Yang

CoRR, February, 2026

ZeroS: Zero-Sum Linear Attention for Efficient Transformers.

Jiecheng Lu, Xu Han, Yan Sun, Viresh Pati, Yubin Kim, Siddhartha Somani, Shihao Yang

CoRR, February, 2026

CAPS: Unifying Attention, Recurrence, and Alignment in Transformer-based Time Series Forecasting.

Viresh Pati, Yubin Kim, Vinh Pham, Jevon Twitty, Shihao Yang, Jiecheng Lu

CoRR, February, 2026

2025

WAVE: Weighted Autoregressive Varying Gate for Time Series Forecasting.

Jiecheng Lu, Xu Han, Yan Sun, Shihao Yang

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

Linear Transformers as VAR Models: Aligning Autoregressive Attention Mechanisms with Autoregressive Forecasting.

Jiecheng Lu, Shihao Yang

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

In-context Time Series Predictor.

Jiecheng Lu, Yan Sun, Shihao Yang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Autoregressive Moving-average Attention Mechanism for Time Series Forecasting.

Jiecheng Lu, Xu Han, Yan Sun, Shihao Yang

CoRR, 2024

CATS: Enhancing Multivariate Time Series Forecasting by Constructing Auxiliary Time Series as Exogenous Variables.

Jiecheng Lu, Xu Han, Yan Sun, Shihao Yang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

ARM: Refining Multivariate Forecasting with Adaptive Temporal-Contextual Learning.

Jiecheng Lu, Xu Han, Shihao Yang

Proceedings of the Twelfth International Conference on Learning Representations, 2024