Jie Zhang

Orcid: 0000-0003-1720-3704

Affiliations:
  • Zhejiang University, School of Software Technology, Collaborative Innovation Center of Artificial Intelligence, Hangzhou, China
  • Tencent Youtu Lab (former)


According to our database1, Jie Zhang authored at least 22 papers between 2020 and 2024.

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Bibliography

2024
SparseACC: A Generalized Linear Model Accelerator for Sparse Datasets.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., March, 2024

2023
Federated mutual learning: a collaborative machine learning method for heterogeneous data, models, and objectives.
Frontiers Inf. Technol. Electron. Eng., October, 2023

P4SGD: Programmable Switch Enhanced Model-Parallel Training on Generalized Linear Models on Distributed FPGAs.
IEEE Trans. Parallel Distributed Syst., August, 2023

Federated Generative Learning with Foundation Models.
CoRR, 2023

Addressing Catastrophic Forgetting in Federated Class-Continual Learning.
CoRR, 2023

Legion: Automatically Pushing the Envelope of Multi-GPU System for Billion-Scale GNN Training.
Proceedings of the 2023 USENIX Annual Technical Conference, 2023

SmartDS: Middle-Tier-centric SmartNIC Enabling Application-aware Message Split for Disaggregated Block Storage.
Proceedings of the 50th Annual International Symposium on Computer Architecture, 2023

IDEAL: Query-Efficient Data-Free Learning from Black-Box Models.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Rethinking Data Distillation: Do Not Overlook Calibration.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Accelerating Dataset Distillation via Model Augmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Delving into the Adversarial Robustness of Federated Learning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Shuhai: A Tool for Benchmarking High Bandwidth Memory on FPGAs.
IEEE Trans. Computers, 2022

QEKD: Query-Efficient and Data-Free Knowledge Distillation from Black-box Models.
CoRR, 2022

FpgaNIC: An FPGA-based Versatile 100Gb SmartNIC for GPUs.
Proceedings of the 2022 USENIX Annual Technical Conference, 2022

DENSE: Data-Free One-Shot Federated Learning.
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.
Proceedings of the International Conference on Machine Learning, 2022

Adversarial Examples for Good: Adversarial Examples Guided Imbalanced Learning.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Towards Efficient Data Free Blackbox Adversarial Attack.
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.
CoRR, 2021

2020
Federated Mutual Learning.
CoRR, 2020

Benchmarking High Bandwidth Memory on FPGAs.
CoRR, 2020

Shuhai: Benchmarking High Bandwidth Memory On FPGAS.
Proceedings of the 28th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2020


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