Jie Zhang

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 17

Top Topics

Eigenvalue Decomposition

Prior Knowledge

Top Venues

USENIX Annual Technical Conference

Publications

Jie Zhang, Hongjing Huang, Jie Sun, Juan Gómez-Luna, Onur Mutlu, Zeke Wang
SparseACC: A Generalized Linear Model Accelerator for Sparse Datasets. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43 (3) (2024)
Lei Zhang, Jie Zhang, Bowen Lei, Subhabrata Mukherjee, Xiang Pan, Bo Zhao, Caiwen Ding, Yao Li, Dongkuan Xu
Accelerating Dataset Distillation via Model Augmentation. CVPR (2023)
Jie Sun, Li Su, Zuocheng Shi, Wenting Shen, Zeke Wang, Lei Wang, Jie Zhang, Yong Li, Wenyuan Yu, Jingren Zhou, Fei Wu
Legion: Automatically Pushing the Envelope of Multi-GPU System for Billion-Scale GNN Training. USENIX Annual Technical Conference (2023)
Hongjing Huang, Yingtao Li, Jie Sun, Xueying Zhu, Jie Zhang, Liang Luo, Jialin Li, Zeke Wang
P4SGD: Programmable Switch Enhanced Model-Parallel Training on Generalized Linear Models on Distributed FPGAs. CoRR (2023)
Jie Zhang, Bo Li, Chen Chen, Lingjuan Lyu, Shuang Wu, Shouhong Ding, Chao Wu
Delving into the Adversarial Robustness of Federated Learning. AAAI (2023)
Dongyao Zhu, Bowen Lei, Jie Zhang, Yanbo Fang, Ruqi Zhang, Yiqun Xie, Dongkuan Xu
Rethinking Data Distillation: Do Not Overlook Calibration. CoRR (2023)
Jie Zhang, Xiaohua Qi, Bo Zhao
Federated Generative Learning with Foundation Models. CoRR (2023)
Jie Zhang, Chen Chen, Lingjuan Lyu
IDEAL: Query-Efficient Data-Free Learning from Black-Box Models. ICLR (2023)
Hongjing Huang, Yingtao Li, Jie Sun, Xueying Zhu, Jie Zhang, Liang Luo, Jialin Li, Zeke Wang
P4SGD: Programmable Switch Enhanced Model-Parallel Training on Generalized Linear Models on Distributed FPGAs. IEEE Trans. Parallel Distributed Syst. 34 (8) (2023)
Tao Shen, Jie Zhang, Xinkang Jia, Fengda Zhang, Zheqi Lv, Kun Kuang, Chao Wu, Fei Wu
Federated mutual learning: a collaborative machine learning method for heterogeneous data, models, and objectives. Frontiers Inf. Technol. Electron. Eng. 24 (10) (2023)
Jie Zhang, Bo Li, Jianghe Xu, Shuang Wu, Shouhong Ding, Lei Zhang, Chao Wu
Towards Efficient Data Free Blackbox Adversarial Attack. CVPR (2022)
Hongjing Huang, Zeke Wang, Jie Zhang, Zhenhao He, Chao Wu, Jun Xiao, Gustavo Alonso
Shuhai: A Tool for Benchmarking High Bandwidth Memory on FPGAs. IEEE Trans. Computers 71 (5) (2022)
Jie Zhang, Lei Zhang, Gang Li, Chao Wu
Adversarial Examples for Good: Adversarial Examples Guided Imbalanced Learning. ICIP (2022)
Jie Zhang, Zhiqi Li, Bo Li, Jianghe Xu, Shuang Wu, Shouhong Ding, Chao Wu
Federated Learning with Label Distribution Skew via Logits Calibration. ICML (2022)
Jie Zhang, Chen Chen, Bo Li, Lingjuan Lyu, Shuang Wu, Shouhong Ding, Chunhua Shen, Chao Wu
DENSE: Data-Free One-Shot Federated Learning. NeurIPS (2022)
Jie Zhang, Zhiqi Li, Bo Li, Jianghe Xu, Shuang Wu, Shouhong Ding, Chao Wu
Federated Learning with Label Distribution Skew via Logits Calibration. CoRR (2022)
Zeke Wang, Hongjing Huang, Jie Zhang, Fei Wu, Gustavo Alonso
FpgaNIC: An FPGA-based Versatile 100Gb SmartNIC for GPUs. USENIX Annual Technical Conference (2022)