7 citations
- Instituto de Astrofísica de CanariasES5 papers
- Chinese Academy of SciencesCN4 papers
- Goddard Space Flight CenterUS3 papers
- Kavli Institute for Theoretical SciencesCN3 papers
- Universidad de La LagunaES3 papers
- California Institute of TechnologyUS2 papers
- Ehime UniversityJP2 papers
- Herzberg Institute of AstrophysicsCA2 papers
- Institute of Space SciencesES2 papers
- KU LeuvenBE2 papers
- Kyoto UniversityJP2 papers
- National Space Science CenterCN2 papers
17 papers
Multi-Feature Riemannian Hypergraph for Online Test-Time Adaptation of Motor Imagery Brain-Computer Interface
Siqi Li, Zhi Li, Tong Liu +5
In clinical motor imagery brain-computer interface (MI-BCI) decoding, cross-day transferability and online operation remain two critical challenges. Hypergraphs can improve transfe…
Practical Lossless Volumetric Medical Image Compression via Tri-plane Context Tree Learning
Yuanchao Bai, Yifan Zhao, Kai Wang +5
Lossless compression of volumetric medical images is of paramount importance for clinical and research applications where data fidelity is essential. Traditional compression method…
ROLoad-PMP: Securing Sensitive Operations for Kernels and Bare-Metal Firmware
Wende Tan, Chenyang Li, Yangyu Chen +3
A common way for attackers to compromise victim systems is hijacking sensitive operations (e.g., control-flow transfers) with attacker-controlled inputs. Existing solutions in gene…
When Context Bites: Detecting RAG Poisoning via Document-Level Attention Collapse
Yingtao Ren, Ziyi Zhao, Yiwei Fu +3
Retrieval-augmented generation (RAG) is indispensable for enhancing large language models. However, RAGs are increasingly susceptible to poisoning attacks, in which adversarial doc…
Life 2.0: A Scalable Distributed Space-Telescope Array for Biosignature Spectroscopy
Jian Ge, Zhangqi Dang, Ziru Zhang +15
Answering the question "Are we alone?" requires atmospheric spectroscopy of nearby terrestrial planets. For an Earth--Sun analog, even the strongest transmission signals are expect…
SPADE: An Input-Adaptive Sparse Attention Engine for Fast Video Diffusion Models Inference
Shanghao Liu, Renze Chen, Size Zheng +4
Video diffusion transformers (vDiTs) generate high quality but pay quadratic self-attention cost, making inference prohibitive at video-token scales. The challenge is input-adaptiv…