Zihang Meng

Computer Science · Physical Sciences

6h-index128citations25works1.52yr avg
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Research Topics

Domain Adaptation and Few-Shot Learning(8), Multimodal Machine Learning Applications(5), Advanced Image and Video Retrieval Techniques(4), Anomaly Detection Techniques and Applications(4), Adversarial Robustness in Machine Learning(4)

Publications24 total

Bidirectional Likelihood Estimation with Multi-Modal Large Language Models for Text-Video Retrieval
arXiv (Cornell University)·2025Open Access
Visual Delta Generator with Large Multi-Modal Models for Semi-Supervised Composed Image Retrieval
2024· 6 cited
Visual Delta Generator with Large Multi-modal Models for Semi-supervised Composed Image Retrieval
arXiv (Cornell University)·2024Open Access
On the Versatile Uses of Partial Distance Correlation in Deep Learning
arXiv (Cornell University)·2022Open Access
Object-Centric Unsupervised Image Captioning
Lecture notes in computer science·2022· 13 cited
On the Versatile Uses of Partial Distance Correlation in Deep Learning
Lecture notes in computer science·2022· 20 citedOpen Access
Differentiable Optimization of Generalized Nondecomposable Functions using Linear Programs
PubMed·2022Open Access
Object-Centric Unsupervised Image Captioning
arXiv (Cornell University)·2021Open Access
An Online Riemannian PCA for Stochastic Canonical Correlation Analysis.
PubMed·2021· 2 citedOpen Access
Neural TMDlayer: Modeling Instantaneous flow of features via SDE Generators
2021 IEEE/CVF International Conference on Computer Vision (ICCV)·2021
Neural TMDlayer: Modeling Instantaneous flow of features via SDE Generators
arXiv (Cornell University)·2021Open Access
An Online Riemannian PCA for Stochastic Canonical Correlation Analysis
arXiv (Cornell University)·2021· 2 citedOpen Access
Connecting What to Say With Where to Look by Modeling Human Attention Traces
2021· 29 cited
Physarum Powered Differentiable Linear Programming Layers and Applications
Proceedings of the AAAI Conference on Artificial Intelligence·2021· 5 citedOpen Access
Connecting What to Say With Where to Look by Modeling Human Attention Traces
arXiv (Cornell University)·2021· 2 citedOpen Access
Stochastic Canonical Correlation Analysis: A Riemannian Approach
2021
Graph Neural Networks to Predict Customer Satisfaction Following Interactions with a Corporate Call Center
arXiv (Cornell University)·2021· 1 citedOpen Access
Physarum Powered Differentiable Linear Programming Layers and Applications
PubMed·2020· 1 citedOpen Access
Learning Amyloid Pathology Progression from Longitudinal PIB-PET Images in Preclinical Alzheimer's Disease
2020· 4 cited
Fooling Computer Vision into Inferring the Wrong Body Mass Index
arXiv (Cornell University)·2019· 2 citedOpen Access
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Frequent Co-authors

Vikas Singh(10), Rudrasis Chakraborty(5), Sathya N. Ravi(5), Vikas Singh(5), Ser-Nam Lim(4), Hyunwoo J. Kim(2), Glenn Fung(2), Licheng Yu(2), Ning Zhang(2), Tamara L. Berg(2), Babak Damavandi(2), Amy Bearman(2), Xingjian Zhen(2), David Yang(2), Xuefei Cao(2), Ashish Shah(2), Young Kyun Jang(2), Donghyun Kim(2), Dat Huynh(2), Nagesh Adluru(1)