Lihua Jing
10 papers · 2023–2026 · 4 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (24) 💎 Century Club · Bronze ⚡ Prolific Year · Productive
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Keyword Collector
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Research topics
Machine Learning
(8)
Artificial Intelligence
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Core AI
(7)
Learning Types · Machine Learning
(7)
Deep Learning
(5)
Computer Vision
(3)
Analysis
(3)
Learning Types · Deep Learning
(3)
Architectures
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Core Methods
(2)
Natural Language Processing
(1)
Security & Privacy
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Application Areas
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Generation · Computer Vision
(1)
Generation · Natural Language Processing
(1)
Keywords
image change captioning
(2)
image captioning
(2)
backdoor attack
(2)
vision transformer
(1)
self-attention mechanism
(1)
neural network security
(1)
image generation
(1)
change detection
(1)
object detection
(1)
visual question answering
(1)
optimal transport
(1)
self-supervised learning
(1)
attention mechanism
(1)
data augmentation
(1)
natural language generation
(1)
ensemble learning
(1)
visual reasoning
(1)
multimodal interaction
(1)
false positive
(1)
feature learning
(1)
Papers
False Positives Matter: Multidimensional Localization Evaluation and Training-Free Explainable Adversarial Patch Defense
AAAI 2026
Attention-Imperceptible Backdoor Attacks on Vision Transformers
AAAI 2025
EntropyMark: Towards More Harmless Backdoor Watermark via Entropy-based Constraint for Open-source Dataset Copyright Protection
CVPR 2025
Find and Perceive: Tell Visual Change with Fine-Grained Comparison
IJCAI 2025
INTER: Mitigating Hallucination in Large Vision-Language Models by Interaction Guidance Sampling
ICCV 2025
Preventing Latent Diffusion Model-Based Image Mimicry via Angle Shifting and Ensemble Learning
IJCAI 2025
Revisiting Change Captioning from Self-supervised Global-Part Alignment
AAAI 2025
Frequency Shuffling and Enhancement for Open Set Recognition
AAAI 2024
PAD: Patch-Agnostic Defense against Adversarial Patch Attacks
CVPR 2024
The Victim and The Beneficiary: Exploiting a Poisoned Model to Train a Clean Model on Poisoned Data
ICCV 2023