16 citations · 19 across the 4 of their papers we have counts for
5 papers
HARP: Orchestrating Automated Parallel Training on Heterogeneous GPU Clusters
Antian Liang, Zhigang Zhao, Kai Zhang +6
With the rapid evolution of GPU architectures, the heterogeneity of model training infrastructures is steadily increasing. In such environments, effectively utilizing all available…
Survey of Filtered Approximate Nearest Neighbor Search over the Vector-Scalar Hybrid Data
Yanjun Lin, Kai Zhang, Zhenying He +2
Filtered approximate nearest neighbor search (FANNS), an extension of approximate nearest neighbor search (ANNS) that incorporates scalar filters, has been widely applied to constr…
MAPN: Enhancing Heterogeneous Sparse Graph Representation by Mamba-based Asynchronous Aggregation
Xuqi Mao, Zhenying He, X. Sean Wang
Graph neural networks (GNNs) have become the state of the art for various graph-related tasks and are particularly prominent in heterogeneous graphs (HetGs). However, several issue…
HetFS: A Method for Fast Similarity Search with Ad-hoc Meta-paths on Heterogeneous Information Networks
Xuqi Mao, Zhenyi Chen, Zhenying He +3
Numerous real-world information networks form Heterogeneous Information Networks (HINs) with diverse objects and relations represented as nodes and edges in heterogeneous graphs. S…
RoarGraph: A Projected Bipartite Graph for Efficient Cross-Modal Approximate Nearest Neighbor Search
Meng Chen, Kai Zhang, Zhenying He +2
Approximate Nearest Neighbor Search (ANNS) is a fundamental and critical component in many applications, including recommendation systems and large language model-based application…