Meikang Qiu
13 papers · 2023–2026 · 6 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (41) 🌍 Conference Polyglot · Silver 👥 Mega-Team · Squad 🗃️ Keyword Collector (75)
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Prolific Year · Productive
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Renaissance Researcher
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Century Club · Bronze
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Research topics
Machine Learning
(8)
Artificial Intelligence
(5)
Deep Learning
(5)
Core AI
(5)
Computer Vision
(4)
Application Areas
(4)
Architectures
(4)
Core Methods
(4)
Learning Types · Machine Learning
(4)
Data Science & Analytics
(3)
Natural Language Processing
(2)
Applications
(2)
Learning Types · Deep Learning
(2)
Models
(2)
Optimization & Theory
(2)
Keywords
graph neural network
(3)
vision-language model
(2)
diffusion model
(2)
multimodal learning
(2)
representation learning
(2)
feature selection
(1)
distributed learning
(1)
feature learning
(1)
knowledge distillation
(1)
graph representation learning
(1)
zero-shot learning
(1)
medical imaging
(1)
visual reasoning
(1)
flow matching
(1)
minimax optimization
(1)
neural network optimization
(1)
medical image classification
(1)
synthetic data generation
(1)
time series
(1)
visual question answering
(1)
Papers
AutoDebias: An Automated Framework for Detecting and Mitigating Backdoor Biases in Text-to-Image Models
CVPR 2026
Manipulation Intention Understanding for Zero-Shot Composed Image Retrieval
AAAI 2026
MultiFinBen: Benchmarking Large Language Models for Multilingual and Multimodal Financial Application
ACL 2026
A Novel Sparse Active Online Learning Framework for Fast and Accurate Streaming Anomaly Detection Over Data Streams
IJCAI 2025
fairGNN-WOD: Fair Graph Learning Without Complete Demographics
IJCAI 2025
Hierarchical Features Matter: A Deep Exploration of Progressive Parameterization Method for Dataset Distillation
CVPR 2025
MIMO: A Medical Vision Language Model with Visual Referring Multimodal Input and Pixel Grounding Multimodal Output
CVPR 2025
T2S: High-resolution Time Series Generation with Text-to-Series Diffusion Models
IJCAI 2025
A Closer Look at GAN Priors: Exploiting Intermediate Features for Enhanced Model Inversion Attacks
ECCV 2024
Graph Attention Network with High-Order Neighbor Information Propagation for Social Recommendation
IJCAI 2024
Visual Attention Prompted Prediction and Learning
IJCAI 2024
Communication-Efficient Stochastic Gradient Descent Ascent with Momentum Algorithms
IJCAI 2023
Deep Graph Representation Learning and Optimization for Influence Maximization
ICML 2023