Jie Zhang

According to our database, Jie Zhang authored at least 28 papers between 2020 and 2024.

Collaborative distances:

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

2024

SparseACC: A Generalized Linear Model Accelerator for Sparse Datasets.

Jie Zhang, Hongjing Huang, Jie Sun, Juan Gómez-Luna, Onur Mutlu, Zeke Wang

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., March, 2024

Demystifying Datapath Accelerator Enhanced Off-path SmartNIC.

Xuzheng Chen, Jie Zhang, Ting Fu, Yifan Shen, Shu Ma, Kun Qian, Lingjun Zhu, Chao Shi, Yin Zhang, Ming Liu, Zeke Wang

CoRR, 2024

Understanding Routable PCIe Performance for Composable Infrastructures.

Wentao Hou, Jie Zhang, Zeke Wang, Ming Liu

Proceedings of the 21st USENIX Symposium on Networked Systems Design and Implementation, 2024

DmRPC: Disaggregated Memory-aware Datacenter RPC for Data-intensive Applications.

Jie Zhang, Xuzheng Chen, Yin Zhang, Zeke Wang

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

2023

Federated mutual learning: a collaborative machine learning method for heterogeneous data, models, and objectives.

Tao Shen, Jie Zhang, Xinkang Jia, Fengda Zhang, Zheqi Lv, Kun Kuang, Chao Wu, Fei Wu

Frontiers Inf. Technol. Electron. Eng., October, 2023

P4SGD: Programmable Switch Enhanced Model-Parallel Training on Generalized Linear Models on Distributed FPGAs.

Hongjing Huang, Yingtao Li, Jie Sun, Xueying Zhu, Jie Zhang, Liang Luo, Jialin Li, Zeke Wang

IEEE Trans. Parallel Distributed Syst., August, 2023

Helios: An Efficient Out-of-core GNN Training System on Terabyte-scale Graphs with In-memory Performance.

Jie Sun, Mo Sun, Zheng Zhang, Jun Xie, Zuocheng Shi, Zihan Yang, Jie Zhang, Fei Wu, Zeke Wang

CoRR, 2023

Federated Generative Learning with Foundation Models.

Jie Zhang, Xiaohua Qi, Bo Zhao

CoRR, 2023

Addressing Catastrophic Forgetting in Federated Class-Continual Learning.

Jie Zhang, Chen Chen, Weiming Zhuang, LingJuan Lv

CoRR, 2023

Legion: Automatically Pushing the Envelope of Multi-GPU System for Billion-Scale GNN Training.

Jie Sun, Li Su, Zuocheng Shi, Wenting Shen, Zeke Wang, Lei Wang, Jie Zhang, Yong Li, Wenyuan Yu, Jingren Zhou, Fei Wu

Proceedings of the 2023 USENIX Annual Technical Conference, 2023

SmartDS: Middle-Tier-centric SmartNIC Enabling Application-aware Message Split for Disaggregated Block Storage.

Jie Zhang, Hongjing Huang, Lingjun Zhu, Shu Ma, Dazhong Rong, Yijun Hou, Mo Sun, Chaojie Gu, Peng Cheng, Chao Shi, Zeke Wang

Proceedings of the 50th Annual International Symposium on Computer Architecture, 2023

Federated Domain Adaptation via Pseudo-label Refinement.

Gang Li, Qifei Zhang, Peizheng Wang, Jie Zhang, Chao Wu

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

IDEAL: Query-Efficient Data-Free Learning from Black-Box Models.

Jie Zhang, Chen Chen, Lingjuan Lyu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Rethinking Data Distillation: Do Not Overlook Calibration.

Dongyao Zhu, Yanbo Fang, Bowen Lei, Yiqun Xie, Dongkuan Xu, Jie Zhang, Ruqi Zhang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

TARGET: Federated Class-Continual Learning via Exemplar-Free Distillation.

Jie Zhang, Chen Chen, Weiming Zhuang, Lingjuan Lyu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Accelerating Dataset Distillation via Model Augmentation.

Lei Zhang, Jie Zhang, Bowen Lei, Subhabrata Mukherjee, Xiang Pan, Bo Zhao, Caiwen Ding, Yao Li, Dongkuan Xu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Delving into the Adversarial Robustness of Federated Learning.

Jie Zhang, Bo Li, Chen Chen, Lingjuan Lyu, Shuang Wu, Shouhong Ding, Chao Wu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Shuhai: A Tool for Benchmarking High Bandwidth Memory on FPGAs.

Hongjing Huang, Zeke Wang, Jie Zhang, Zhenhao He, Chao Wu, Jun Xiao, Gustavo Alonso

IEEE Trans. Computers, 2022

QEKD: Query-Efficient and Data-Free Knowledge Distillation from Black-box Models.

Jie Zhang, Chen Chen, Jiahua Dong, Ruoxi Jia, Lingjuan Lyu

CoRR, 2022

FpgaNIC: An FPGA-based Versatile 100Gb SmartNIC for GPUs.

Zeke Wang, Hongjing Huang, Jie Zhang, Fei Wu, Gustavo Alonso

Proceedings of the 2022 USENIX Annual Technical Conference, 2022

DENSE: Data-Free One-Shot Federated Learning.

Jie Zhang, Chen Chen, Bo Li, Lingjuan Lyu, Shuang Wu, Shouhong Ding, Chunhua Shen, Chao Wu

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

Federated Learning with Label Distribution Skew via Logits Calibration.

Jie Zhang, Zhiqi Li, Bo Li, Jianghe Xu, Shuang Wu, Shouhong Ding, Chao Wu

Proceedings of the International Conference on Machine Learning, 2022

Adversarial Examples for Good: Adversarial Examples Guided Imbalanced Learning.

Jie Zhang, Lei Zhang, Gang Li, Chao Wu

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Towards Efficient Data Free Blackbox Adversarial Attack.

Jie Zhang, Bo Li, Jianghe Xu, Shuang Wu, Shouhong Ding, Lei Zhang, Chao Wu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

A Practical Data-Free Approach to One-shot Federated Learning with Heterogeneity.

Jie Zhang, Chen Chen, Bo Li, Lingjuan Lyu, Shuang Wu, Jianghe Xu, Shouhong Ding, Chao Wu

CoRR, 2021

2020

Federated Mutual Learning.

Tao Shen, Jie Zhang, Xinkang Jia, Fengda Zhang, Gang Huang, Pan Zhou, Fei Wu, Chao Wu

CoRR, 2020

Benchmarking High Bandwidth Memory on FPGAs.

Zeke Wang, Hongjing Huang, Jie Zhang, Gustavo Alonso

CoRR, 2020

Shuhai: Benchmarking High Bandwidth Memory On FPGAS.

Zeke Wang, Hongjing Huang, Jie Zhang, Gustavo Alonso

Proceedings of the 28th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2020