Demo Data from SIGIR 2026 / reviewers in the wild / expert
Letian Yuan
dblp:233/7610
· DBLP profile ↗
4ranked-venue papers
0as first author
3since 2021 · last 2026
0009-0008-1512-1856ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Security and privacy · 3 · 3 since 2021Systems, architecture and hardware · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Network and information security
2 papers |
Systems and software security · 67% Web and mobile security · 33% | |
| Software engineering, system software, and programming languages
1 paper |
Software testing · 100% | |
| Artificial intelligence
1 paper |
Language models and text generation · 100% |
Topics — the 6 heaviest of 6, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Systems and software security › information flow tracking › taint analysis
taint-style vulnerability detection |
0.9 | 1 | 2025 | Make Agent Defeat Agent: Automatic Detection of Taint-Style Vulnerabilities in LLM-based Agents · USENIX Security Symposium 2025 |
Systems and software security
vulnerability discovery |
0.9 | 1 | 2025 | Make Agent Defeat Agent: Automatic Detection of Taint-Style Vulnerabilities in LLM-based Agents · USENIX Security Symposium 2025 |
Web and mobile security › web security
web vulnerability detection |
0.9 | 1 | 2025 | Effective Directed Fuzzing with Hierarchical Scheduling for Web Vulnerability Detection · USENIX Security Symposium 2025 |
Software testing › fuzzing
directed fuzzing |
0.9 | 1 | 2025 | Effective Directed Fuzzing with Hierarchical Scheduling for Web Vulnerability Detection · USENIX Security Symposium 2025 |
Software testing
fuzzing |
0.9 | 1 | 2025 | Effective Directed Fuzzing with Hierarchical Scheduling for Web Vulnerability Detection · USENIX Security Symposium 2025 |
Natural language and speech › Language models and text generation
LLM agents |
0.3 | 1 | 2025 | Make Agent Defeat Agent: Automatic Detection of Taint-Style Vulnerabilities in LLM-based Agents · USENIX Security Symposium 2025 |
Methods — techniques the papers use, named apart from their topics
static taint analysis · 1.7large language model · 1.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Measuring and Understanding Expectation Inconsistency in Java Libraries
Yuan Zhang 0009, Letian Yuan, Guangliang Yang 0001, Youkun Shi, Min Yang 0002 |
IEEE Trans. Inf. Forensics Secur. | 3 |
| 2025 | Effective Directed Fuzzing with Hierarchical Scheduling for Web Vulnerability Detection
Yuan Zhang 0009, Jiarun Dai, Xinyou Huang, Bocheng Xiang, Guangliang Yang 0001, Letian Yuan, Lei Zhang 0096, Min Yang 0002 |
USENIX Security Symposium | 7 |
| 2025 | Make Agent Defeat Agent: Automatic Detection of Taint-Style Vulnerabilities in LLM-based Agents
Yuan Zhang 0009, Jiaqi Luo, Jiarun Dai, Letian Yuan, Zhengmin Yu, Youkun Shi, Chengyuan Zhou, Hao Chen 0003, Min Yang 0002 |
USENIX Security Symposium | 6 |
| 2017 | Adaptive impedance based force and position control for pneumatic compliant systemabstractThe compliant control of the robot is widely used in the Human-Machine Interface (HMI) and robot bionics. Because the system and the environment are mutually constrained, when the external environment changes, the control environment of the system will change with it, which deteriorates the control performance of the system. This article solves the problem of how to realize the compliant control with changing environment and proposes the adaptive impedance control and compensation based on a specific compliance system. We first model our compliance system by focusing on the system's internal cylinder, pressure difference transmitter its other components and then acquire its transfer function. Then we apply the impedance control and adaptive impedance control to the compliance system. Comparing these two methods, we prove that the adaptive impedance control has better tracking performance and robustness in uncertain environment. Furthermore, the stability of the adaptive impedance compliance system is proved by the Lyapunov function. Finally, we verify this algorithm with a flange experimental platform and design an experiment about contact force between the flange and different objects. The stability and practicability of the experimental algorithm are substantiated. Renhe Guan, Letian Yuan, Xiaoliang Gu, Ali Anwar 0002, Weiyang Lin |
IECON | 3 |