1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.DB2026
AlayaLaser: Efficient Index Layout and Search Strategy for Large-scale High-dimensional Vector Similarity Search
Weijian Chen, Haotian Liu, Yangshen Deng +3
On-disk graph-based approximate nearest neighbor search (ANNS) is essential for large-scale, high-dimensional vector retrieval, yet its performance is widely recognized to be limit…
cs.DC2024
HopGNN: Boosting Distributed GNN Training Efficiency via Feature-Centric Model Migration
Weijian Chen, Shuibing He, Haoyang Qu +1
Distributed training of graph neural networks (GNNs) has become a crucial technique for processing large graphs. Prevalent GNN frameworks are model-centric, necessitating the trans…
cs.DC2024★ 1 cited
Optimizing Large Model Training through Overlapped Activation Recomputation
Ping Chen, Wenjie Zhang, Shuibing He +10
Large model training often uses recomputation to alleviate memory pressure and pipelines to exploit the parallelism of data, tensors, and devices. However, existing recomputation a…