916 citations
- UNSW SydneyAU51 papers
- University of OsloNO41 papers
- Australian National UniversityAU31 papers
- The University of SydneyAU30 papers
- Center for Astrophysics Harvard & SmithsonianUS22 papers
- ARC Centre of Excellence in Future Low-Energy Electronics TechnologiesAU21 papers
- Monash UniversityAU19 papers
- University of OtagoNZ19 papers
- Chinese Academy of SciencesCN18 papers
- Australian Nuclear Science and Technology OrganisationAU16 papers
- Massachusetts Institute of TechnologyUS15 papers
- Nanjing UniversityCN15 papers
652 papers
Hop-Decayed Influence: New Vulnerabilities of Structural Auxiliary Indexing in GraphRAG Pipelines with LLM
Jisung Park, John Le, Heath Cooper
GraphRAG pipelines construct auxiliary structures during offline indexing--semantic summaries, hierarchical edges, and pre-computed scores--that determine how retrieval is prioriti…
DiMoP: Diffusion-Driven Motion Representation Learning With Frame-Level Pseudo-Classification for Skeleton-Based Action Recognition
Shanaka Ramesh Gunasekara, Wanqing Li, Nikalal Kaldera +2
Robust skeleton-based action recognition requires representations that capture a wide spectrum of motions, from subtle to moderate and strong ones. Existing methods often focus on…
Structural Leakage in Graph Encryption: Attacks and Defenses
Hua Shen, Renzhi Chen, Ge Wu +3
Graph encryption schemes (GES) enable secure outsourcing of graph data while supporting efficient queries. This report provides a comprehensive analysis of structural leakage in GE…
Learning Disentangled Representations for Generalized Multi-view Clustering
Xin Zou, Ruimeng Liu, Chang Tang +4
Multi-View Clustering (MVC) has gained significant attention for its ability to leverage complementary information across diverse views. However, existing deep MVC methods often st…
Video Understanding: From Geometry and Semantics to Unified Models
Zhaochong An, Zirui Li, Mingqiao Ye +9
Video understanding aims to enable models to perceive, reason about, and interact with the dynamic visual world. In contrast to image understanding, video understanding inherently…
Energy-Efficient Routing Protocol in Vehicular Opportunistic Networks: A Dynamic Cluster-based Routing Using Deep Reinforcement Learning
Meisam Sharifi Sani, Saeid Iranmanesh, Raad Raad +1
Opportunistic Networks (OppNets) employ the Store-Carry-Forward (SCF) paradigm to maintain communication during intermittent connectivity. However, routing performance suffers due…