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Jie Zhang
ORCID
Publication Activity (10 Years)
Years Active: 2021-2024
Publications (10 Years): 22
Top Topics
Highly Dynamic Environments
Knowledge Transfer
Adaptation Process
Service Provisioning
Top Venues
CoRR
IEEE Trans. Computers
IEEE Trans. Parallel Distributed Syst.
IEEE Netw.
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Publications
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Yue Zeng
,
Zhihao Qu
,
Song Guo
,
Baoliu Ye
,
Jie Zhang
,
Jing Li
,
Bin Tang
SafeDRL: Dynamic Microservice Provisioning With Reliability and Latency Guarantees in Edge Environments.
IEEE Trans. Computers
73 (1) (2024)
Jinyu Chen
,
Wenchao Xu
,
Zicong Hong
,
Song Guo
,
Haozhao Wang
,
Jie Zhang
,
Deze Zeng
OTAS: An Elastic Transformer Serving System via Token Adaptation.
CoRR
(2024)
Ruibin Li
,
Qihua Zhou
,
Song Guo
,
Jie Zhang
,
Jingcai Guo
,
Xinyang Jiang
,
Yifei Shen
,
Zhenhua Han
Dissecting Arbitrary-scale Super-resolution Capability from Pre-trained Diffusion Generative Models.
CoRR
(2023)
Zhijie Rao
,
Jingcai Guo
,
Xiaocheng Lu
,
Qihua Zhou
,
Jie Zhang
,
Kang Wei
,
Chenxin Li
,
Song Guo
Attribute-Aware Representation Rectification for Generalized Zero-Shot Learning.
CoRR
(2023)
Feijie Wu
,
Song Guo
,
Haozhao Wang
,
Haobo Zhang
,
Zhihao Qu
,
Jie Zhang
,
Ziming Liu
From Deterioration to Acceleration: A Calibration Approach to Rehabilitating Step Asynchronism in Federated Optimization.
IEEE Trans. Parallel Distributed Syst.
34 (5) (2023)
Jie Zhang
,
Song Guo
,
Jingcai Guo
,
Deze Zeng
,
Jingren Zhou
,
Albert Y. Zomaya
Towards Data-Independent Knowledge Transfer in Model-Heterogeneous Federated Learning.
IEEE Trans. Computers
72 (10) (2023)
Yue Zeng
,
Zhihao Qu
,
Song Guo
,
Bin Tang
,
Baoliu Ye
,
Jing Li
,
Jie Zhang
RuleDRL: Reliability-Aware SFC Provisioning With Bounded Approximations in Dynamic Environments.
IEEE Trans. Serv. Comput.
16 (5) (2023)
Jingcai Guo
,
Qihua Zhou
,
Ruibing Li
,
Xiaocheng Lu
,
Ziming Liu
,
Junyang Chen
,
Xin Xie
,
Jie Zhang
ParsNets: A Parsimonious Orthogonal and Low-Rank Linear Networks for Zero-Shot Learning.
CoRR
(2023)
Yingchun Wang
,
Jingcai Guo
,
Jie Zhang
,
Song Guo
,
Weizhan Zhang
,
Qinghua Zheng
Towards Fairer and More Efficient Federated Learning via Multidimensional Personalized Edge Models.
IJCNN
(2023)
Yi Liu
,
Song Guo
,
Jie Zhang
,
Qihua Zhou
,
Yingchun Wang
,
Xiaohan Zhao
Feature Correlation-guided Knowledge Transfer for Federated Self-supervised Learning.
CoRR
(2022)
Xiaosong Ma
,
Jie Zhang
,
Song Guo
,
Wenchao Xu
Layer-wised Model Aggregation for Personalized Federated Learning.
CVPR
(2022)
Jie Zhang
,
Song Guo
,
Zhihao Qu
,
Deze Zeng
,
Haozhao Wang
,
Qifeng Liu
,
Albert Y. Zomaya
Adaptive Vertical Federated Learning on Unbalanced Features.
IEEE Trans. Parallel Distributed Syst.
33 (10) (2022)
Feijie Wu
,
Shiqi He
,
Song Guo
,
Zhihao Qu
,
Haozhao Wang
,
Weihua Zhuang
,
Jie Zhang
Sign Bit is Enough: A Learning Synchronization Framework for Multi-hop All-reduce with Ultimate Compression.
CoRR
(2022)
Leijie Wu
,
Song Guo
,
Junxiao Wang
,
Zicong Hong
,
Jie Zhang
,
Yaohong Ding
Federated Unlearning: Guarantee the Right of Clients to Forget.
IEEE Netw.
36 (5) (2022)
Yingchun Wang
,
Song Guo
,
Jingcai Guo
,
Weizhan Zhang
,
Richard Yida Xu
,
Jie Zhang
,
Yi Liu
Efficient Stein Variational Inference for Reliable Distribution-lossless Network Pruning.
CoRR
(2022)
Xiaosong Ma
,
Jie Zhang
,
Song Guo
,
Wenchao Xu
Layer-wised Model Aggregation for Personalized Federated Learning.
CoRR
(2022)
Yufeng Zhan
,
Jie Zhang
,
Zicong Hong
,
Leijie Wu
,
Peng Li
,
Song Guo
A Survey of Incentive Mechanism Design for Federated Learning.
IEEE Trans. Emerg. Top. Comput.
10 (2) (2022)
Jie Zhang
,
Song Guo
,
Zhihao Qu
,
Deze Zeng
,
Yufeng Zhan
,
Qifeng Liu
,
Rajendra Akerkar
Adaptive Federated Learning on Non-IID Data With Resource Constraint.
IEEE Trans. Computers
71 (7) (2022)
Feijie Wu
,
Shiqi He
,
Song Guo
,
Zhihao Qu
,
Haozhao Wang
,
Weihua Zhuang
,
Jie Zhang
Sign bit is enough: a learning synchronization framework for multi-hop all-reduce with ultimate compression.
DAC
(2022)
Jingcai Guo
,
Song Guo
,
Jie Zhang
,
Ziming Liu
Fed-FSNet: Mitigating Non-I.I.D. Federated Learning via Fuzzy Synthesizing Network.
CoRR
(2022)
Yingchun Wang
,
Jingcai Guo
,
Song Guo
,
Weizhan Zhang
,
Jie Zhang
Exploring Optimal Substructure for Out-of-distribution Generalization via Feature-targeted Model Pruning.
CoRR
(2022)
Jie Zhang
,
Song Guo
,
Xiaosong Ma
,
Haozhao Wang
,
Wenchao Xu
,
Feijie Wu
Parameterized Knowledge Transfer for Personalized Federated Learning.
NeurIPS
(2021)