1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.DC2025
Improving the End-to-End Efficiency of Offline Inference for Multi-LLM Applications Based on Sampling and Simulation
Jingzhi Fang, Yanyan Shen, Yue Wang +1
As large language models (LLMs) have shown great success in many tasks, they are used in various applications. While a lot of works have focused on the efficiency of single-LLM app…
cs.LG2025
A Selective Learning Method for Temporal Graph Continual Learning
Hanmo Liu, Shimin Di, Haoyang Li +3
Node classification is a key task in temporal graph learning (TGL). Real-life temporal graphs often introduce new node classes over time, but existing TGL methods assume a fixed se…
cs.DB2018★ 1 cited
DDSL: Efficient Subgraph Listing on Distributed and Dynamic Graphs
Xun Jian, Yue Wang, Xiayu Lei +2
Subgraph listing is a fundamental problem in graph theory and has wide applications in areas like sociology, chemistry, and social networks. Modern graphs can usually be large-scal…