2 citations · 2 across the 2 of their papers we have counts for
3 papers
cs.DB2026
Curator: Efficient Vector Search with Low-Selectivity Filters
Yicheng Jin, Yongji Wu, Wenjun Hu +4
Embedding-based dense retrieval has become the cornerstone of many critical applications, where approximate nearest neighbor search (ANNS) queries are often combined with filters o…
cs.DC2025
Phantora: Maximizing Code Reuse in Simulation-based Machine Learning System Performance Estimation
Jianxing Qin, Jingrong Chen, Xinhao Kong +8
Modern machine learning (ML) training workloads place substantial demands on both computational and communication resources. Consequently, accurate performance estimation has becom…
cs.DC2025★ 2 cited
HeterMoE: Efficient Training of Mixture-of-Experts Models on Heterogeneous GPUs
Yongji Wu, Xueshen Liu, Shuowei Jin +6
The Mixture-of-Experts (MoE) architecture has become increasingly popular as a method to scale up large language models (LLMs). To save costs, heterogeneity-aware training solution…