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Xiaojian Li

9 accepted papers

2026

AICrypto: Evaluating Cryptography Capabilities of Large Language Models

ICML 2026poster

Large language models (LLMs) have demonstrated remarkable capabilities across a variety of domains. However, their applications in cryptography, which serve as a foundational pillar of cybersecurity, remain largely unexplored. To address this gap, we build \textbf{AICrypto}, a comprehensive benchmar…

Cited by 0SourceScholar
2026

Position: Preparing for AI Systems That Deceive Developers

ICML 2026poster

AI systems may exhibit deceptive behaviors that mislead developers about their capabilities, propensities, or actions. Such deception can take distinct forms across the development lifecycle: training subversion, evaluation gaming, and control evasion. We argue that the AI community should prioritiz…

Cited by 0SourceScholar
2025

A Safety-Enhanced Autonomous Resection Method for Precision Laparoscopic Surgery amid Tissue Deformation

IROS 2025

Resection of pathological tissue is a common procedure in surgical oncology for treating tumors. In robot-assisted electrosurgery, the use of predefined markers to guide autonomous robotic resection is gaining traction. Accurate tracking of these markers and minimizing electrocautery damage are crit

Cited by 0SourceScholar
2025

Nuclear Deployed!: Analyzing Catastrophic Risks in Decision-making of Autonomous LLM Agents

ACL 2025finding

Large language models (LLMs) are evolving into autonomous decision-makers, raising concerns about catastrophic risks in high-stakes scenarios, particularly in Chemical, Biological, Radiological and Nuclear (CBRN) domains. Based on the insight that such risks can originate from trade-offs between the…

2024

A Force-driven and Vision-driven Hybrid Control Method of Autonomous Laparoscope-Holding Robot

ICRA 2024poster

Laparoscope-holding robots significantly enhance the stability and precision of visualization in minimally invasive surgeries. Most existing robots of this kind depend on visual servo systems and struggle with efficient, rapid adjustments in the field-of-view (FOV), especially when identifying organ…

Cited by 0SourceScholar
2024

An Integrated Position-velocity-force Method for Safety-enhanced Shared Control in Robot-assisted Surgical Cutting

ICRA 2024poster

Numerous studies have emphasized the application of autonomous intelligence in human-robot shared control to enhance surgical convenience and efficiency. However, the neglect of human dominance may reduce surgical safety. This paper developed a safety-enhanced human-robot shared control method by in…

Cited by 0SourceScholar
2022

SIRNet: Fine-Grained Surgical Interaction Recognition

RA-L 2022

Surgical interaction recognition (SIR) plays a crucial role in navigation decision support for minimally invasive surgery (MIS) or robot-assisted MIS. Currently, the research in SIR is at a coarse-grained level and barely considers the surgical interaction dependencies unrelated to endoscopic images

Cited by 14SourcecodeScholar
2017

Design of an automated controller with collision-avoidance capability for in-vivo transportation of biological cells

IROS 2017poster

As the rapid development of precision medicine, in-vivo manipulation of micro/nano-scaled particles has attracted increasing attention in recent years. The collision is one of the main reasons that falls the in-vivo particle transportation fail. In this paper, we develop an in-vivo cell transportati…

Cited by 1SourceScholar
2016

Automated in-vivo transportation of biological cells with a disturbance compensation controller

IROS 2016poster

As rapid development of precision medicine, in vivo manipulation of micro/nano-scaled particles have attracted increasing attention in recent years. To accommodate complex in-vivo environment, robot-aided automated manipulation technology is highly demanded in trapping and controlling micro/nano-par…

Cited by 3SourceScholar