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Xianglong Liu

31 papers hereh-index 17894 citations57 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author16
  • last author12

Across the 28 of 31 papers where every author was matched, so the position is known.

fields
  • cs.CV12
  • cs.CR8
  • cs.RO3
  • cs.AI2
  • cs.CL2
  • cs.SE2
same name
  • Xianglong Liu — 22 papers, h 5
  • Xianglong Liu — 10 papers, h 9
  • Xianglong Liu — 9 papers, h 6
  • Xianglong Liu — 6 papers, h 7
  • Xianglong Liu — 6 papers, h 9
  • Xianglong Liu — 3 papers, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

works on
adversarial attacks 1autonomous driving 1multimodal learning 1robustness evaluation 1vision-language models 1

From the 1 of 31 linked papers with an AI index.

activity
20242026
most citedVisual Adversarial Attack on Vision-Language Models for Autonomous Driving

1 citations · 1 across the 9 of their papers we have counts for

collaborators
Showing cs.AIShow all

3 papers · 1 filter

cs.AI2026

GuardAD: Safeguarding Autonomous Driving MLLMs via Markovian Safety Logic

Tianyuan Zhang, Peng Yue, Zihao Peng +8

Multimodal large language models (MLLMs) are increasingly integrated into autonomous driving (AD) systems; however, they remain vulnerable to diverse safety threats, particularly i…

cs.AI2026

How Emotion Shapes the Behavior of LLMs and Agents: A Mechanistic Study

Moran Sun, Tianlin Li, Yuwei Zheng +4

Emotion plays an important role in human cognition and performance. Motivated by this, we investigate whether analogous emotional signals can shape the behavior of large language m…

cs.AI2024

Compromising Embodied Agents with Contextual Backdoor Attacks

Aishan Liu, Yuguang Zhou, Xianglong Liu +9

Large language models (LLMs) have transformed the development of embodied intelligence. By providing a few contextual demonstrations, developers can utilize the extensive internal…

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