Publications (7)
A Multi-task Deep Feature Selection Method for Brain Imaging Genetics
Chenglin Yu, Dingnan Cui, Muheng Shang +5
Using brain imaging quantitative traits (QTs) to identify the genetic risk factors is an important research topic in imaging genetics. Many efforts have been made via building line…
The Hidden Footprint: Making Storage a First-Class Metric for LLM Agent Evaluation
Chenglin Yu, Hongquan Gui, Ying Yu +3
The paper introduces AgentFootprint, a benchmark that measures the persistent storage footprint left by large language model agents after execution, providing metrics on retention,…
Gate-controlled neuromorphic functional transition in an electrochemical graphene transistor
Chenglin Yu, Shaorui Li, Zhoujie Pan +8
Neuromorphic devices have gained significant attention as potential building blocks for the next generation of computing technologies owing to their ability to emulate the function…
Large Transport Gap Modulation in Graphene via Electric Field Controlled Reversible Hydrogenation
Shaorui Li, Jiaheng Li, Yongchao Wang +5
Graphene is of interest in the development of next-generation electronics due to its high electron mobility, flexibility and stability. However, graphene transistors have poor on/o…
InfiAgent: Self-Evolving Pyramid Agent Framework for Infinite Scenarios
Chenglin Yu, Yang Yu, Songmiao Wang +5
Large Language Model (LLM) agents have demonstrated remarkable capabilities in organizing and executing complex tasks, and many such agents are now widely used in various applicati…
Compile, Then Page: Executable SOP Programs and a Capability-Gated Runtime for Procedural LLM Agents
Chenglin Yu, Li Yin, Ying Yu +4
The paper proposes compiling standard operating procedures into executable pseudo‑code and running them with a program‑guided stack machine that pages the active frame while a larg…
InfiAgent: An Infinite-Horizon Framework for General-Purpose Autonomous Agents
Chenglin Yu, Yuchen Wang, Songmiao Wang +2
LLM agents can reason and use tools, but they often break down on long-horizon tasks due to unbounded context growth and accumulated errors. Common remedies such as context compres…