activity
20242026
most citedDuoCast: Duo-Probabilistic Diffusion for Precipitation Nowcasting

1 citations · 1 across the 15 of their papers we have counts for

collaborators

17 papers

cs.AI2026

No Single Neuron of Failure: Distributed Safety Alignment Against White-Box Attacks

Simiao Xie, Chuancheng Shi, Shangze Li +5

With the rapid release of open-weight large foundation models, safety threats are shifting from black-box jailbreaks to neuron-level white-box attacks that directly identify and ma…

cs.CL2026

Q-BridgeNet: A Quantization Network for Cross-Lingual Sign Language Translation

Liqian Feng, Lintao Wang, Xiaochen Liu +5

Most sign language translation (SLT) methods focus on isolated native sign-spoken pairs (e.g., American Sign Language - English). Extending language-specific SLT models to multilin…

cs.CV2026

GeoRoPE: Ground-Aware Rotary Adaptation for Remote Sensing Foundation Models

Yu Luo, Kun Hu, Mengwei He +7

Remote-sensing foundation models (RSFMs) benefit from pretraining on imagery from multiple sensors and ground sampling distances (GSDs), but such exposure alone does not resolve sc…

cs.CV2026

SRENet: Spectral Re-Entry Network for Point Cloud Action Recognition

Qiuxia Wu, Jiarui Lan, Wenxiong Kang +2

Recognizing human actions from point cloud sequences is critical for 3D perception driven applications such as autonomous driving and human-computer interaction. However, the irreg…

cs.CV2026

PhenoYieldNet: Learning Crop-Aware Phenological Responses for Multi-Crop Yield Prediction

Yu Luo, Xiaogang Zhu, Shan Zeng +4

Accurate crop yield prediction is crucial for sustainable agriculture and global food security. While existing methods are predominantly developed for single-crop prediction, they…

cs.LG2026

McCast: Memory-Guided Latent Drift Correction for Long-Horizon Precipitation Nowcasting

Penghui Wen, Yu Luo, Lintao Wang +4

Existing precipitation nowcasting methods typically adopt an autoregressive formulation, where future states are predicted from previous outputs. However, such an approach accumula…