output
19932026
most citedConvolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting

7.1k citations

4,898 papers

quant-ph2026

Universal entanglement detection with geometrically optimal witnesses

Xuanran Zhu, Keyi Huang, Chao Zhang +3

Constructing optimal entanglement witnesses for arbitrary quantum systems remains a formidable challenge, hindered by the structural complexity of high-dimensional quantum state sp…

cs.OS2026★ 1 cited

No More Translation at Runtime: LLM-Empowered Static Binary Translation

Zhibo Liu, Huaijin Wang, Wai Kin Wong +2

While AArch64 CPUs are becoming strong market contenders, their software ecosystem lags behind the mature x86-64 environment, hindering the adoption of the new architectures and im…

cs.HC2026★ 1 cited

ATCion: Exploring the Design of Icon-based Visual Aids for Enhancing In-cockpit Air Traffic Control Communication

Yue Lyu, Xizi Wang, Hanlu Ma +2

Effective communication between pilots and air traffic control (ATC) is essential for aviation safety, but verbal exchanges over radios are prone to miscommunication, especially un…

cs.MM2026

CARA: Concept-Aware Risk Attention for Interpretable Collision Anticipation

Zhishan Tao, Ruoyu Wang, Yucheng Wu +6

Collision anticipation in autonomous driving requires not only accurate early warnings but also interpretable reasoning about what risk factors are being tracked and how risk evolv…

cs.LG2026

CEDAR: Controlled and Event-Driven Demand Forecasting via Residual Decomposition

Junjie Meng, Ranxu Zhang, Zi-an Zhang +6

Forecasting in large-scale e-commerce marketplaces is increasingly required to support planning: merchants need to evaluate sales outcomes under future action sequences such as bud…

cond-mat.mes-hall2026

The Continuum Model for Uniaxially Strained Bilayer Graphene Moiré Systems

Tong Liu, X. R. Wang, Jiansheng Wu

We construct a continuum model for a one-dimensional moiré superlattice formed by stretching one layer of AB-stacked bilayer graphene along the x direction by a factor s. Following…