Linjun Zhang

According to our database, Linjun Zhang authored at least 66 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Foreword for the Collection of Papers from the Workshop on the Analysis of Census Noisy Measurement Files and Differential Privacy.

Jörg Drechsler, Ruobin Gong, Weijie Su, Linjun Zhang

J. Priv. Confidentiality, 2024

MMed-RAG: Versatile Multimodal RAG System for Medical Vision Language Models.

Peng Xia, Kangyu Zhu, Haoran Li, Tianze Wang, Weijia Shi, Sheng Wang, Linjun Zhang, James Zou, Huaxiu Yao

CoRR, 2024

NEAT: Nonlinear Parameter-efficient Adaptation of Pre-trained Models.

Yibo Zhong, Haoxiang Jiang, Lincan Li, Ryumei Nakada, Tianci Liu, Linjun Zhang, Huaxiu Yao, Haoyu Wang

CoRR, 2024

RULE: Reliable Multimodal RAG for Factuality in Medical Vision Language Models.

Peng Xia, Kangyu Zhu, Haoran Li, Hongtu Zhu, Yun Li, Gang Li, Linjun Zhang, Huaxiu Yao

CoRR, 2024

F-FOMAML: GNN-Enhanced Meta-Learning for Peak Period Demand Forecasting with Proxy Data.

Zexing Xu, Linjun Zhang, Sitan Yang, S. Rasoul Etesami, Hanghang Tong, Huan Zhang, Jiawei Han

CoRR, 2024

Set-Based Prompting: Provably Solving the Language Model Order Dependency Problem.

Reid McIlroy-Young, Katrina Brown, Conlan Olson, Linjun Zhang, Cynthia Dwork

CoRR, 2024

Synthetic Oversampling: Theory and A Practical Approach Using LLMs to Address Data Imbalance.

Ryumei Nakada, Yichen Xu, Lexin Li, Linjun Zhang

CoRR, 2024

Calibrated Self-Rewarding Vision Language Models.

Yiyang Zhou, Zhiyuan Fan, Dongjie Cheng, Sihan Yang, Zhaorun Chen, Chenhang Cui, Xiyao Wang, Yun Li, Linjun Zhang, Huaxiu Yao

CoRR, 2024

Differentially Private Federated Learning: Servers Trustworthiness, Estimation, and Statistical Inference.

Zhe Zhang, Ryumei Nakada, Linjun Zhang

CoRR, 2024

FAIRM: Learning invariant representations for algorithmic fairness and domain generalization with minimax optimality.

Sai Li, Linjun Zhang

CoRR, 2024

Contrastive Learning on Multimodal Analysis of Electronic Health Records.

Tianxi Cai, Feiqing Huang, Ryumei Nakada, Linjun Zhang, Doudou Zhou

CoRR, 2024

Provable Multi-Party Reinforcement Learning with Diverse Human Feedback.

Huiying Zhong, Zhun Deng, Weijie J. Su, Zhiwei Steven Wu, Linjun Zhang

CoRR, 2024

Distribution-Free Fair Federated Learning with Small Samples.

Qichuan Yin, Junzhou Huang, Huaxiu Yao, Linjun Zhang

CoRR, 2024

Selective Learning: Towards Robust Calibration with Dynamic Regularization.

Zongbo Han, Yifeng Yang, Changqing Zhang, Linjun Zhang, Joey Tianyi Zhou, Qinghua Hu, Huaxiu Yao

CoRR, 2024

Differentially Private Sliced Inverse Regression: Minimax Optimality and Algorithm.

Xintao Xia, Linjun Zhang, Zhanrui Cai

CoRR, 2024

Can AI Be as Creative as Humans?

Haonan Wang, James Zou, Michael Mozer, Anirudh Goyal, Alex Lamb, Linjun Zhang, Weijie J. Su, Zhun Deng, Michael Qizhe Xie, Hannah Brown, Kenji Kawaguchi

CoRR, 2024

Peak Period Demand Forecasting with Proxy Data: GNN-Enhanced Meta-Learning.

Zexing Xu, Linjun Zhang, Sitan Yang, Nan Jiang

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2024

Fair Risk Control: A Generalized Framework for Calibrating Multi-group Fairness Risks.

Lujing Zhang, Aaron Roth, Linjun Zhang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Conformal Prediction for Deep Classifier via Label Ranking.

Jianguo Huang, Huajun Xi, Linjun Zhang, Huaxiu Yao, Yue Qiu, Hongxin Wei

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Analyzing and Mitigating Object Hallucination in Large Vision-Language Models.

Yiyang Zhou, Chenhang Cui, Jaehong Yoon, Linjun Zhang, Zhun Deng, Chelsea Finn, Mohit Bansal, Huaxiu Yao

Proceedings of the Twelfth International Conference on Learning Representations, 2024

RULE: Reliable Multimodal RAG for Factuality in Medical Vision Language Models.

Peng Xia, Kangyu Zhu, Haoran Li, Hongtu Zhu, Yun Li, Gang Li, Linjun Zhang, Huaxiu Yao

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

The Power of Contrast for Feature Learning: A Theoretical Analysis.

Wenlong Ji, Zhun Deng, Ryumei Nakada, James Zou, Linjun Zhang

J. Mach. Learn. Res., 2023

Holistic Analysis of Hallucination in GPT-4V(ision): Bias and Interference Challenges.

Chenhang Cui, Yiyang Zhou, Xinyu Yang, Shirley Wu, Linjun Zhang, James Zou, Huaxiu Yao

CoRR, 2023

What Should Data Science Education Do with Large Language Models?

Xinming Tu, James Zou, Weijie J. Su, Linjun Zhang

CoRR, 2023

Safeguarding Data in Multimodal AI: A Differentially Private Approach to CLIP Training.

Alyssa Huang, Peihan Liu, Ryumei Nakada, Linjun Zhang, Wanrong Zhang

CoRR, 2023

Score Attack: A Lower Bound Technique for Optimal Differentially Private Learning.

T. Tony Cai, Yichen Wang, Linjun Zhang

CoRR, 2023

HappyMap: A Generalized Multi-calibration Method.

Zhun Deng, Cynthia Dwork, Linjun Zhang

CoRR, 2023

Beyond Confidence: Reliable Models Should Also Consider Atypicality.

Mert Yüksekgönül, Linjun Zhang, James Y. Zou, Carlos Guestrin

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

HappyMap : A Generalized Multicalibration Method.

Zhun Deng, Cynthia Dwork, Linjun Zhang

Proceedings of the 14th Innovations in Theoretical Computer Science Conference, 2023

Discover and Cure: Concept-aware Mitigation of Spurious Correlation.

Shirley Wu, Mert Yüksekgönül, Linjun Zhang, James Zou

Proceedings of the International Conference on Machine Learning, 2023

FaiREE: fair classification with finite-sample and distribution-free guarantee.

Puheng Li, James Zou, Linjun Zhang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

FIFA: Making Fairness More Generalizable in Classifiers Trained on Imbalanced Data.

Zhun Deng, Jiayao Zhang, Linjun Zhang, Ting Ye, Yates Coley, Weijie J. Su, James Zou

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Freeze then Train: Towards Provable Representation Learning under Spurious Correlations and Feature Noise.

Haotian Ye, James Zou, Linjun Zhang

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Understanding Multimodal Contrastive Learning and Incorporating Unpaired Data.

Ryumei Nakada, Halil Ibrahim Gulluk, Zhun Deng, Wenlong Ji, James Zou, Linjun Zhang

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Reinforcement Learning with Stepwise Fairness Constraints.

Zhun Deng, He Sun, Steven Wu, Linjun Zhang, David C. Parkes

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

The influence of visual deprivation on the development of the thalamocortical network: Evidence from congenitally blind children and adults.

Junfeng Lin, Linjun Zhang, Runhua Guo, Saiyi Jiao, Xiaomeng Song, Suting Feng, Ke Wang, Mingyang Li, Yudan Luo, Zaizhu Han

NeuroImage, 2022

Understanding Dynamics of Nonlinear Representation Learning and Its Application.

Kenji Kawaguchi, Linjun Zhang, Zhun Deng

Neural Comput., 2022

C-Mixup: Improving Generalization in Regression.

Huaxiu Yao, Yiping Wang, Linjun Zhang, James Y. Zou, Chelsea Finn

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

When and How Mixup Improves Calibration.

Linjun Zhang, Zhun Deng, Kenji Kawaguchi, James Zou

Proceedings of the International Conference on Machine Learning, 2022

Improving Out-of-Distribution Robustness via Selective Augmentation.

Huaxiu Yao, Yu Wang, Sai Li, Linjun Zhang, Weixin Liang, James Zou, Chelsea Finn

Proceedings of the International Conference on Machine Learning, 2022

Meta-Learning with Fewer Tasks through Task Interpolation.

Huaxiu Yao, Linjun Zhang, Chelsea Finn

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Scaffolding Sets.

Maya Burhanpurkar, Zhun Deng, Cynthia Dwork, Linjun Zhang

CoRR, 2021

High-Dimensional Differentially-Private EM Algorithm: Methods and Near-Optimal Statistical Guarantees.

Zhe Zhang, Linjun Zhang

CoRR, 2021

A Central Limit Theorem for Differentially Private Query Answering.

Jinshuo Dong, Weijie J. Su, Linjun Zhang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Adversarial Training Helps Transfer Learning via Better Representations.

Zhun Deng, Linjun Zhang, Kailas Vodrahalli, Kenji Kawaguchi, James Y. Zou

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Improving Generalization in Meta-learning via Task Augmentation.

Huaxiu Yao, Long-Kai Huang, Linjun Zhang, Ying Wei, Li Tian, James Zou, Junzhou Huang, Zhenhui Li

Proceedings of the 38th International Conference on Machine Learning, 2021

How Does Mixup Help With Robustness and Generalization?

Linjun Zhang, Zhun Deng, Kenji Kawaguchi, Amirata Ghorbani, James Zou

Proceedings of the 9th International Conference on Learning Representations, 2021

G² smooth, curvature constrained, local motion planning for automated vehicles.

Sanghoon Oh, Linjun Zhang, H. Eric Tseng, Lu Xu, Gábor Orosz

Proceedings of the IEEE Conference on Control Technology and Applications, 2021

Improving Adversarial Robustness via Unlabeled Out-of-Domain Data.

Zhun Deng, Linjun Zhang, Amirata Ghorbani, James Zou

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Classifying functional nuclear images with convolutional neural networks: a survey.

Qiang Lin, Zhengxing Man, Yongchun Cao, Tao Deng, Chengcheng Han, Chuangui Cao, Linjun Zhang, Sitao Zeng, Ruiting Gao, Weilan Wang, Jinshui Ji, Xiaodi Huang

IET Image Process., 2020

The Cost of Privacy in Generalized Linear Models: Algorithms and Minimax Lower Bounds.

T. Tony Cai, Yichen Wang, Linjun Zhang

CoRR, 2020

A Lightweight Algorithm to Uncover Deep Relationships in Data Tables.

Jin Cao, Yibo Zhao, Linjun Zhang, Jason Li

CoRR, 2020

Interpreting Robust Optimization via Adversarial Influence Functions.

Zhun Deng, Cynthia Dwork, Jialiang Wang, Linjun Zhang

Proceedings of the 37th International Conference on Machine Learning, 2020

Motion Prediction of Human-Driven Vehicles in Mixed Traffic with Connected Autonomous Vehicles.

Linjun Zhang, Eric H. Tseng

Proceedings of the 2020 American Control Conference, 2020

2019

MRCS: matrix recovery-based communication-efficient compressive sampling on temporal-spatial data of dynamic-scale sparsity in large-scale environmental IoT networks.

Zhonghu Xu, Linjun Zhang, Jinqi Shen, Hao Zhou, Xuefeng Liu, Jiannong Cao, Kai Xing

EURASIP J. Wirel. Commun. Netw., 2019

The Cost of Privacy: Optimal Rates of Convergence for Parameter Estimation with Differential Privacy.

T. Tony Cai, Yichen Wang, Linjun Zhang

CoRR, 2019

2018

Beyond-Line-of-Sight Identification by Using Vehicle-to-Vehicle Communication.

Linjun Zhang, Gábor Orosz

IEEE Trans. Intell. Transp. Syst., 2018

Hierarchical Design of Connected Cruise Control in the Presence of Information Delays and Uncertain Vehicle Dynamics.

Linjun Zhang, Jing Sun, Gábor Orosz

IEEE Trans. Control. Syst. Technol., 2018

2016

Motif-Based Design for Connected Vehicle Systems in Presence of Heterogeneous Connectivity Structures and Time Delays.

Linjun Zhang, Gábor Orosz

IEEE Trans. Intell. Transp. Syst., 2016

Black-box modeling of connected vehicle networks.

Linjun Zhang, Gábor Orosz

Proceedings of the 2016 American Control Conference, 2016

2015

Nonlinear dynamics of connected vehicle systems with communication delays.

Linjun Zhang, Gábor Orosz

Proceedings of the American Control Conference, 2015

2014

How is that complex network complex?

Michael Small, Kevin Judd, Linjun Zhang

Proceedings of the IEEE International Symposium on Circuits and Systemss, 2014

2013

Exactly scale-free scale-free networks.

Linjun Zhang, Michael Small, Kevin Judd

CoRR, 2013

2012

Optimal trajectory control of flexible two-link manipulator based on PDE model.

Linjun Zhang, Jinkun Liu

Proceedings of the 51th IEEE Conference on Decision and Control, 2012

Nonlinear PDE observer design for a flexible two-link manipulator.

Linjun Zhang, Jinkun Liu

Proceedings of the American Control Conference, 2012

2008

Cortical competition during language discrimination.

Jingjing Zhao, Hua Shu, Linjun Zhang, Xiaoyi Wang, Qiyong Gong, Ping Li

NeuroImage, 2008