5 citations · 5 across the 2 of their papers we have counts for
3 papers
cs.AI2026
To Think or Not to Think: Allocating Reasoning Where It Helps
Zhengdong He, Yunfan Zhou, Jianguo Yao +2
Reinforcement learning (RL) has proven effective in enhancing the reasoning performance of large language models (LLMs), particularly in complex mathematical and programming tasks.…
cs.LG2025
STRCMP: Integrating Graph Structural Priors with Language Models for Combinatorial Optimization
Xijun Li, Jiexiang Yang, Jinghao Wang +3
Combinatorial optimization (CO) problems, central to operation research and theoretical computer science, present significant computational challenges due to their NP-hard nature.…
cs.DC2021★ 5 cited
Learning to Optimize DAG Scheduling in Heterogeneous Environment
Jinhong Luo, Yunfan Zhou, Xijun Li +3
Scheduling job flows efficiently and rapidly on distributed computing clusters is one of huge challenges for daily operation of data centers. In a practical scenario, a single job…