Jun Zhuang
9 papers · 2022–2026 · 6 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Silver
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(22)
🐣
Hot Topic Early Bird
⚡
Prolific Year · Productive
Top co-authors
Research topics
Deep Learning
(5)
Architectures
(5)
Artificial Intelligence
(4)
Machine Learning
(4)
Core AI
(4)
Learning Types · Machine Learning
(3)
Learning Types · Deep Learning
(2)
Computer Vision
(1)
Natural Language Processing
(1)
Analysis
(1)
Application Areas
(1)
Core Methods
(1)
Optimization & Theory
(1)
Resources & Methods
(1)
Keywords
large language model
(3)
adversarial robustness
(2)
graph neural network
(2)
node classification
(2)
graph convolutional network
(2)
jailbreak attack
(2)
self-supervised learning
(1)
attention mechanism
(1)
graph representation learning
(1)
prompt engineering
(1)
content moderation
(1)
instruction following
(1)
medical image classification
(1)
intent detection
(1)
set prediction
(1)
adversarial defense
(1)
dynamic graph
(1)
red teaming
(1)
sensitive attribute
(1)
fair graph learning
(1)
Papers
Fair Graph Learning with Limited Sensitive Attribute Information
AAAI 2026
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
PaQ-DETR: Learning Pattern and Quality-Aware Dynamic Queries for Object Detection
CVPR 2026
QAPNet: A Quantum-Attentive Patchwise Network for Robust Medical Image Classification Under Noisy Inputs
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