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Home/Authors/Jianghao Lin

Jianghao Lin

5 indexed papers

Recent (6 mo)
5
With code
0
Influential cites
0
Benchmarked
0

Publications per year

5
26

Top categories

Info Retrieval×2AI×2NLP×1ML×1Optimization and Control×1Crypto×1Software Eng.×1

Frequent co-authors

Chenyu Zhou3×
Dongdong Ge3×
Xiaolei Guo2×
Weinan Zhang2×
Yaqi Wu1×
Jiaqi Huang1×

Research Timeline

2026
SkillProbe: Security Auditing for Emerging Agent Skill Marketplaces via Multi-Agent Collaboration

The paper proposes SkillProbe, a multi-agent security auditing framework, demonstrating that high-popularity skills in LLM agent marketplaces are often insecure due to systemic combinatorial risks.

OR-Space: A Full-Lifecycle Workspace Benchmark for Industrial Optimization Agents

The paper introduces OR-Space, a novel full-lifecycle workspace benchmark designed to rigorously evaluate industrial optimization agents by simulating real-world, multi-stage OR workflows that go beyond simple model translation.

DynaTree: Dynamic Agentic Retrieval Tree for Time-Sensitive News Retrieval

DynaTree introduces a two-stage framework that pre-constructs a reusable retrieval tree offline using coordinated agents, allowing for efficient, structure-aware, and highly effective time-sensitive news retrieval online.

DynaKRAG: A Unified Framework for Learnable Evidence Control in Multi-Hop Retrieval-Augmented Generation

This paper introduces DynaKRAG, a method for multi-hop retrieval-augmented generation that learns a shared policy for evidence operations, achieving state-of-the-art results on three benchmarks.

GraphBU: MILP Instance Generation with Graph-Native Block Units

This paper introduces GraphBU, a graph-native MILP instance generator whose unit is a local subproblem plus its interface, promoting coupling and preserving feasibility.

Highlighted terms show continued research focus across papers

Papers

cs.CLcs.IREmpiricalRecentJul 7, 2026

DynaKRAG: A Unified Framework for Learnable Evidence Control in Multi-Hop Retrieval-Augmented Generation

Yaqi Wu, Xiaolei Guo, Chenyu Zhou, Jiaqi Huang +6 more

This paper introduces DynaKRAG, a method for multi-hop retrieval-augmented generation that learns a shared policy for evidence operations, achieving state-of-the-art results on three benchmarks.

View →
cs.LGmath.OCEmpirical
Recent
Jul 7, 2026

GraphBU: MILP Instance Generation with Graph-Native Block Units

Xiaolei Guo, Chenyu Zhou, Jianghao Lin, Dongdong Ge

This paper introduces GraphBU, a graph-native MILP instance generator whose unit is a local subproblem plus its interface, promoting coupling and preserving feasibility.

View →
cs.IRcs.AIRecentMay 29, 2026

DynaTree: Dynamic Agentic Retrieval Tree for Time-Sensitive News Retrieval

Siyuan Qi, Xinyuan Wang, Yingxuan Yang, Haochuan Guo +4 more

DynaTree introduces a two-stage framework that pre-constructs a reusable retrieval tree offline using coordinated agents, allowing for efficient, structure-aware, and highly effective time-sensitive n…

View →
cs.AIRecentMay 27, 2026

OR-Space: A Full-Lifecycle Workspace Benchmark for Industrial Optimization Agents

Chenyu Zhou, Xinyun Lu, Jiangyue Zhao, Jianghao Lin +2 more

The paper introduces OR-Space, a novel full-lifecycle workspace benchmark designed to rigorously evaluate industrial optimization agents by simulating real-world, multi-stage OR workflows that go beyo…

View →
cs.CRcs.SERecentMar 22, 2026

SkillProbe: Security Auditing for Emerging Agent Skill Marketplaces via Multi-Agent Collaboration

Zihan Guo, Zhiyu Chen, Xiaohang Nie, Jianghao Lin +2 more

The paper proposes SkillProbe, a multi-agent security auditing framework, demonstrating that high-popularity skills in LLM agent marketplaces are often insecure due to systemic combinatorial risks.

View →