Takip et
Jianyi Zhang
Jianyi Zhang
Ph.D., Researcher, Duke University
duke.edu üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
Cyclical stochastic gradient MCMC for Bayesian deep learning
R Zhang, C Li, J Zhang, C Chen, AG Wilson
ICLR 2020, 2019
3352019
Towards Fair Federated Learning with Zero-Shot Data Augmentation
W Hao, M El-Khamy, J Lee, J Zhang, KJ Liang, C Chen, LC Duke
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
1192021
Towards Building the Federated GPT: Federated Instruction Tuning
J Zhang, S Vahidian, M Kuo, C Li, R Zhang, T Yu, Y Zhou, G Wang, ...
2024 IEEE International Conference on Acoustics, Speech and Signal …, 2023
1142023
FLOP: Federated Learning on Medical Datasets using Partial Networks
Q Yang*, J Zhang*, W Hao, G Spell, L Carin
KDD 2021, 2021
962021
Fed-CBS: A Heterogeneity-Aware Client Sampling Mechanism for Federated Learning via Class-Imbalance Reduction
J Zhang, A Li, M Tang, J Sun, X Chen, F Zhang, C Chen, Y Chen, H Li
Fortieth International Conference on Machine Learning (ICML 2023), 2022
492022
Stochastic particle-optimization sampling and the non-asymptotic convergence theory
J Zhang, R Zhang, L Carin, C Chen
International Conference on Artificial Intelligence and Statistics, 1877-1887, 2020
492020
Why do we need large batch sizes in contrastive learning? A gradient-bias perspective
C Chen, J Zhang, Y Xu, L Chen, J Duan, Y Chen, S Tran, B Zeng, ...
Thirty-sixth Conference on Neural Information Processing Systems (Neurips 2022), 2022
332022
Rethinking normalization methods in federated learning
Z Du, J Sun, A Li, PY Chen, J Zhang, HH Li, Y Chen
Proceedings of the 3rd International Workshop on Distributed Machine …, 2022
282022
Min-K%++: Improved Baseline for Detecting Pre-Training Data from Large Language Models
J Zhang, J Sun, E Yeats, Y Ouyang, M Kuo, J Zhang, H Yang, H Li
arXiv preprint arXiv:2404.02936, 2024
272024
ReAugKD: Retrieval-augmented knowledge distillation for pre-trained language models
J Zhang, A Muhamed, A Anantharaman, G Wang, C Chen, K Zhong, ...
The 61st Annual Meeting of the Association for Computational Linguistics …, 2023
162023
Variance reduction in stochastic particle-optimization sampling
J Zhang, Y Zhao, R Zhang, L Carin, C Chen
International Conference on Machine Learning, 11307-11316, 2020
112020
Self-adversarially learned bayesian sampling
Y Zhao, J Zhang, C Chen
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 5893-5900, 2019
72019
FADE: Enabling Large-Scale Federated Adversarial Training on Resource-Constrained Edge Devices
M Tang, J Zhang, M Ma, L DiValentin, A Ding, A Hassanzadeh, H Li, ...
arXiv preprint arXiv:2209.03839, 2022
62022
Unlocking the potential of federated learning: The symphony of dataset distillation via deep generative latents
Y Jia, S Vahidian, J Sun, J Zhang, V Kungurtsev, NZ Gong, Y Chen
European Conference on Computer Vision, 18-33, 2025
52025
ARTIST: Improving The Generation Of Text-Rich Images By Disentanglement
J Zhang, Y Zhou, J Gu, C Wigington, T Yu, Y Chen, T Sun, R Zhang
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2025, 2024
52024
Next Generation Federated Learning for Edge Devices: An Overview
J Zhang, Z Du, J Sun, A Li, M Tang, Y Wu, Z Gao, M Kuo, HH Li, Y Chen
2022 IEEE 8th International Conference on Collaboration and Internet …, 2022
52022
Federated Large Language Models: Current Progress and Future Directions
Y Yao, J Zhang, J Wu, C Huang, Y Xia, T Yu, R Zhang, S Kim, R Rossi, ...
arXiv preprint arXiv:2409.15723, 2024
32024
Mllm-fl: Multimodal large language model assisted federated learning on heterogeneous and long-tailed data
J Zhang, HF Yang, A Li, X Guo, P Wang, H Wang, Y Chen, H Li
arXiv preprint arXiv:2409.06067, 2024
22024
SLED: Self Logits Evolution Decoding for Improving Factuality in Large Language Models
J Zhang, DC Juan, C Rashtchian, CS Ferng, H Jiang, Y Chen
The Thirty-Eighth Annual Conference on Neural Information Processing Systems …, 2024
12024
Join-Chain Network: A Logical Reasoning View of the Multi-head Attention in Transformer
J Zhang, Y Chen, J Chen
2022 IEEE International Conference on Data Mining (ICDM), 2022
12022
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Makaleler 1–20