Zihang Meng
10 papers · 2018–2025 · 5 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (23) π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver
π
Keyword Champion
(2)
π
Conference Pioneer
β‘
Prolific Year Β· Productive
π
Century Club Β· Bronze
Venues
Top co-authors
Research topics
Machine Learning
(5)
Artificial Intelligence
(4)
Computer Vision
(3)
Deep Learning
(3)
Mathematics & Optimization
(3)
Optimization
(3)
Optimization & Theory
(3)
Natural Language Processing
(2)
Analysis
(2)
Applications
(2)
Core AI
(2)
Generation
(2)
Learning Paradigms
(2)
Learning Types
(2)
Techniques
(2)
Keywords
linear programming
(2)
differentiable optimization
(2)
few-shot learning
(2)
multimodal learning
(1)
image captioning
(1)
bipartite matching
(1)
visual grounding
(1)
human attention
(1)
canonical correlation analysis
(1)
multi-class classification
(1)
auc optimization
(1)
differentiable programming
(1)
riemannian manifold
(1)
deep neural network
(1)
stochastic differential equation
(1)
infinitesimal generator
(1)
multimodal large language model
(1)
projection matrix
(1)
stochastic algorithm
(1)
text-video retrieval
(1)
Papers
Bidirectional Likelihood Estimation with Multi-Modal Large Language Models for Text-Video Retrieval
ICCV 2025
Visual Delta Generator with Large Multi-modal Models for Semi-supervised Composed Image Retrieval
CVPR 2024
Object-Centric Unsupervised Image Captioning
ECCV 2022
On the Versatile Uses of Partial Distance Correlation in Deep Learning
ECCV 2022
An Online Riemannian PCA for Stochastic Canonical Correlation Analysis
NeurIPS 2021
Connecting What To Say With Where To Look by Modeling Human Attention Traces
CVPR 2021
Differentiable Optimization of Generalized Nondecomposable Functions using Linear Programs
NeurIPS 2021
Neural TMDlayer: Modeling Instantaneous Flow of Features via SDE Generators
ICCV 2021
Physarum Powered Differentiable Linear Programming Layers and Applications
AAAI 2021
Efficient Relative Attribute Learning using Graph Neural Networks
ECCV 2018