Jianyi Zhang
Duke University
H-index: 8
North America-United States
Top articles of Jianyi Zhang
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Min-K%++: Improved Baseline for Detecting Pre-Training Data from Large Language Models | arXiv preprint arXiv:2404.02936 | Jingyang Zhang Jingwei Sun Eric Yeats Yang Ouyang Martin Kuo | 2024/4/3 |
Unlocking the Potential of Federated Learning: The Symphony of Dataset Distillation via Deep Generative Latents | arXiv preprint arXiv:2312.01537 | Yuqi Jia Saeed Vahidian Jingwei Sun Jianyi Zhang Vyacheslav Kungurtsev | 2023/12/3 |
DACBERT: Leveraging Dependency Agreement for Cost-Efficient Bert Pretraining | arXiv preprint arXiv:2311.04799 | Martin Kuo Jianyi Zhang Yiran Chen | 2023/11/8 |
Towards Building the Federated GPT: Federated Instruction Tuning | Jianyi Zhang Saeed Vahidian Martin Kuo Chunyuan Li Ruiyi Zhang | 2024/4/14 | |
ReAugKD: Retrieval-augmented knowledge distillation for pre-trained language models | Jianyi Zhang Aashiq Muhamed Aditya Anantharaman Guoyin Wang Changyou Chen | 2023/7 | |
Why do we need large batch sizes in contrastive learning? A gradient-bias perspective | Changyou Chen Jianyi Zhang Yi Xu Liqun Chen Jiali Duan | 2022 | |
Next Generation Federated Learning for Edge Devices: An Overview | Jianyi Zhang Zhixu Du Jingwei Sun Ang Li Minxue Tang | 2022/12/14 | |
Rethinking normalization methods in federated learning | Zhixu Du Jingwei Sun Ang Li Pin-Yu Chen Jianyi Zhang | 2022/12/9 | |
Join-Chain Network: A Logical Reasoning View of the Multi-head Attention in Transformer | 2022 IEEE International Conference on Data Mining (ICDM) | Jianyi Zhang Yiran Chen Jianshu Chen | 2022/10/6 |
Fed-CBS: A Heterogeneity-Aware Client Sampling Mechanism for Federated Learning via Class-Imbalance Reduction | Jianyi Zhang Ang Li Minxue Tang Jingwei Sun Xiang Chen | 2023/7/3 | |
FADE: Enabling Large-Scale Federated Adversarial Training on Resource-Constrained Edge Devices | Minxue Tang Jianyi Zhang Mingyuan Ma Louis DiValentin Aolin Ding | 2022/9/29 | |
FLOP: Federated Learning on Medical Datasets using Partial Networks | Qian Yang Jianyi Zhang Weituo Hao Gregory P Spell Lawrence Carin | 2021/8/14 | |
Towards Fair Federated Learning with Zero-Shot Data Augmentation | Weituo Hao Mostafa El-Khamy Jungwon Lee Jianyi Zhang Kevin J Liang | 2021 | |
Variance reduction in stochastic particle-optimization sampling | Jianyi Zhang Yang Zhao Lawrence Carin Changyou Chen | 2020/11/21 | |
Stochastic particle-optimization sampling and the non-asymptotic convergence theory | Jianyi Zhang Ruiyi Zhang Lawrence Carin Changyou Chen | 2020/6/3 |
Co-Authors
