Jun Zhuang
8 papers · 2022–2026 · 5 conferences · across top CS/AI conferences
Achievements
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🌍
Conference Polyglot
(4)
🌉
Interdisciplinary Bridge
🗺️
Taxonomy Completionist
(20)
🧭
Keyword Pioneer
🐝
Cross-Pollinator
(15)
Conferences
AAAI (3)
ACL (2)
EACL (1)
EMNLP (1)
MICCAI (1)
Top co-authors
Keywords
large language model
(3)
node classification
(2)
graph convolutional network
(2)
graph neural network
(2)
jailbreak attack
(2)
adversarial robustness
(2)
attention mechanism
(1)
graph representation learning
(1)
prompt engineering
(1)
content moderation
(1)
instruction following
(1)
medical image classification
(1)
intent detection
(1)
adversarial defense
(1)
dynamic graph
(1)
red teaming
(1)
sensitive attribute
(1)
fair graph learning
(1)
noisy input
(1)
quantum neural network
(1)
Papers
Learning to Conceal Risk: Controllable Multi-turn Red Teaming for LLMs in the Financial Domain
ACL 2026
Now You Hear Me: Audio Narrative Attacks Against Large Audio–Language Models
EACL 2026
QAPNet: A Quantum-Attentive Patchwise Network for Robust Medical Image Classification Under Noisy Inputs
AAAI 2026
Fair Graph Learning with Limited Sensitive Attribute Information
AAAI 2026
Exploring the Vulnerability of the Content Moderation Guardrail in Large Language Models via Intent Manipulation
EMNLP 2025
NQNN: Noise-aware Quantum Neural Networks for Medical Image Classification
MICCAI 2025
Understanding Survey Paper Taxonomy about Large Language Models via Graph Representation Learning
ACL 2024
Defending Graph Convolutional Networks against Dynamic Graph Perturbations via Bayesian Self-Supervision
AAAI 2022