2 citations
- Huazhong University of Science and TechnologyCN2 papers
- Sun Yat-sen UniversityCN2 papers
- University of Chinese Academy of SciencesCN2 papers
- Beihang UniversityCN1 paper
- Beijing Academy of Artificial IntelligenceCN1 paper
- Beijing Electronic Science and Technology InstituteCN1 paper
- Beijing Jiaotong UniversityCN1 paper
- China Center of Advanced Science and TechnologyCN1 paper
- Chinese Academy of SciencesCN1 paper
- Chinese University of Hong KongHK1 paper
- Communication University of ChinaCN1 paper
- Guangxi UniversityCN1 paper
7 papers
MATEE: Efficiently Bridging the Semantic Gap in TrustZone via Arm Pointer Authentication
Shiqi Liu, Xiang Li, Jie Wang +2
Trusted Execution Environments (TEEs) employ hardware-based isolation mechanisms to safeguard the confidentiality and integrity of sensitive code and data. One such prevalent imple…
LDFE: Laplacian Decoupled Feature Enhancement Block for Dual-Stream CNN-based RGB-IR Object Detection
Wenhao Dong, Xiaoyan Luo, Linlin Yang +4
The complementary information between RGB and IR images can significantly enhance object detection performance under extreme conditions. Existing methods prefer dual-stream CNN bac…
Task-Relevant Representation Decoupling for Visual Reinforcement Learning Generalization
Jinwen Wang, Youfang Lin, Xiaobo Hu +4
Visual Reinforcement Learning (VRL) has achieved considerable success in solving control tasks. However, generalizing learned policies to new environments remains a major challenge…
Energy-Dependent Shifts of Medium-Scale Anisotropies in Very-High-Energy Cosmic Rays Observed by LHAASO-KM2A
The LHAASO collabration, Zhen Cao, F. Aharonian +310
Small deviations from isotropy in the arrival directions of Galactic cosmic rays serve as a unique probe of the local magnetic environment. In this Letter, we report observations o…
Capturing Context-Aware Route Choice Semantics for Trajectory Representation Learning
Ji Cao, Yu Wang, Tongya Zheng +6
Trajectory representation learning (TRL) aims to encode raw trajectory data into low-dimensional embeddings for downstream tasks such as travel time estimation, mobility prediction…
Deep learning with hybrid frequency differencing and principal component analysis for 21-cm foreground and beam mitigation
Zitong Wang, Feng Shi, Le Zhang +5
Twenty-one-centimeter intensity mapping is a powerful probe of the large-scale distribution of neutral hydrogen (HI) and cosmological observables such as baryon acoustic oscillatio…