| Cyclical stochastic gradient MCMC for Bayesian deep learning R Zhang, C Li, J Zhang, C Chen, AG Wilson ICLR 2020, 2019 | 321 | 2019 |
| 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 | 111 | 2021 |
| 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 | 96 | 2023 |
| FLOP: Federated Learning on Medical Datasets using Partial Networks Q Yang, J Zhang, W Hao, G Spell, L Carin KDD 2021, 2021 | 91 | 2021 |
| 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 | 49 | 2020 |
| 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 | 43 | 2022 |
| 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 | 27 | 2022 |
| 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 | 27 | 2022 |
| 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 | 16 | 2024 |
| 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 | 14 | 2023 |
| 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 | 12 | 2020 |
| Self-adversarially learned bayesian sampling Y Zhao, J Zhang, C Chen Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 5893-5900, 2019 | 7 | 2019 |
| 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 | 6 | 2022 |
| 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 | 5 | 2022 |
| 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 | 3 | 2025 |
| 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 | 3 | 2024 |
| 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 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2025, 2024 | 2 | 2024 |
| 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 | 2 | 2024 |
| 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 | 1 | 2024 |
| 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 | 1 | 2022 |
Chen ChangyouAssociate Professor at University at Buffalo在 buffalo.edu 的电子邮件经过验证
