Linjun Zhang - Concepedia

Author

Linjun Zhang

City University of Hong Kong

Also Known As

Bansal, Mohit, Goyal, Anirudh, Linjun ZHANG, Linjun Zhang, Yao, Huaxiu, Zhang, Linjun

Publications

475

Citations

H-Index

Concepts

All Affiliations

City University of Hong Kong Stanford University Rutgers Sexual and Reproductive Health and Rights

About

Linjun Zhang is an author at City University of Hong Kong specializing in engineering, deep learning, and machine learning.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	8	8	191
2	Language Studies	2	2	61
3	Business	1	1	34
4	Health Sciences	1	1	18
5	Social Sciences	1	1	25

Linjun Zhang

Publications

396

Citations

H-Index

Page 1

	Year	Citations
Highly Sensitive Multifunctional Electronic Skin Based on Nanocellulose/MXene Composite Films with Good Electromagnetic Shielding Biocompatible Antibacterial Properties Dong-Ning Liu, Yujiao Gao, Yiheng Song, Biomacromolecules	2021	64
The Cost of Privacy: Optimal Rates of Convergence for Parameter Estimation with Differential Privacy Tommaso Cai, Yichen Wang, Linjun Zhang arXiv (Cornell University)	2019	48
Exactly scale-free scale-free networks Linjun Zhang, Michael Small, Kevin Judd Physica A Statistical Mechanics and its Applications Cluster ComputingNetwork ScienceGraph TheoryEngineeringBusiness	2015	34
RULE: Reliable Multimodal RAG for Factuality in Medical Vision Language Models Peng Xia, Kangyu Zhu, Haoran Li, Natural Language ProcessingMultimodal LlmEngineeringSemantic InterpretationVision Language Model	2024	32
Analyzing and Mitigating Object Hallucination in Large Vision-Language Models Yiyang Zhou, Chenhang Cui, Jaehong Yoon, arXiv (Cornell University) EngineeringMachine LearningObject HallucinationNatural Language ProcessingMultimodal Llm	2023	29
High rodent abundance increases seed removal but decreases scatter‐hoarding and seedling recruitment along an elevational gradient Fei Yu, Linjun Zhang, Yang Wang, Integrative Zoology Range ShiftSmall RodentsBiodiversityEngineeringEcologically-based Rodent Management	2022	25
How Does Mixup Help With Robustness and Generalization? Linjun Zhang, Zhun Deng, Kenji Kawaguchi, arXiv (Cornell University) Artificial IntelligenceEngineeringMachine LearningAutoencodersRobustness (Computer Science)	2020	21
Improving Out-of-Distribution Robustness via Selective Augmentation Huaxiu Yao, Yu Wang, Sai Li, arXiv (Cornell University)	2022	21
Improving Generalization in Meta-learning via Task Augmentation Huaxiu Yao, Long-Kai Huang, Linjun Zhang, Artificial IntelligenceData AugmentationCognitive ScienceEngineeringMachine Learning	2021	19
Classifying functional nuclear images with convolutional neural networks: a survey Qiang Lin, Zhengxing Man, Yongchun Cao, IET Image Processing Nuclear ImagingConvolutional Neural NetworkEngineeringPathologyDiagnostic Imaging	2020	18

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