3 papers
cs.CR2026
A Calibrated and Explainable Bimodal Machine Learning Framework for Hybrid Intrusion Detection
Hafsa Aslam, Yue Li, Saba Aslam +1
Modern communication systems face critical gaps in detecting unknown attacks and rare threat classes due to extreme data imbalance and black-box decision logic. We propose a bimoda…
cs.SE2026
OpenHarmony Bench: Evaluating LLMs and Coding Agents on OpenHarmony App Development
Li Li, Han Hu, Tianjian Zhang +27
We present OPENHARMONY BENCH, an app-level coding benchmark for evaluating LLM-based coding agents on OpenHarmony ArkTS applications. Unlike function-level benchmarks, it evaluates…
cs.CV2026
Gaussian-JEPA: Joint-Embedding Predictive Learning for 3D Gaussian Splats
Bin Ren, Qi Ma, Yue Li +7
3D Gaussian Splatting (3DGS) represents 3D content with anisotropic primitives that jointly encode geometry and appearance. Fixed-budget encoders consume sampled observations of Ga…