Jie Zhang

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 30

Top Topics

Knowledge Transfer

Social Cognition

Video Streaming

Highly Dynamic Environments

Top Venues

IEEE Trans. Computers

IEEE Trans. Parallel Distributed Syst.

IEEE Trans. Serv. Comput.

Publications

Zhijie Rao, Jingcai Guo, Xiaocheng Lu, Jingming Liang, Jie Zhang, Haozhao Wang, Kang Wei, Xiaofeng Cao
Dual Expert Distillation Network for Generalized Zero-Shot Learning. CoRR (2024)
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)
Xingyuan Wang, Yufei Xue, Jie Zhang, Yan Hong, Song Guo, Xianyi Zeng
A Sustainable Supply Chain Design for Personalized Customization in Industry 5.0 Era. IEEE Trans. Ind. Informatics 20 (6) (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)
Xuan Liu, Jie Zhang, Song Guo, Haoyang Shang, Chengxu Yang, Quanyan Zhu
Exploring Prosocial Irrationality for LLM Agents: A Social Cognition View. CoRR (2024)
Sikai Bai, Jie Zhang, Shuaicheng Li, Song Guo, Jingcai Guo, Jun Hou, Tao Han, Xiaocheng Lu
DiPrompT: Disentangled Prompt Tuning for Multiple Latent Domain Generalization in Federated Learning. CoRR (2024)
Xueyang Tang, Song Guo, Jie Zhang, Jingcai Guo
Learning Personalized Causally Invariant Representations for Heterogeneous Federated Clients. ICLR (2024)
Qihua Zhou, Jingcai Guo, Song Guo, Ruibin Li, Jie Zhang, Bingjie Wang, Zhenda Xu
On the Robustness of Neural-Enhanced Video Streaming against Adversarial Attacks. AAAI (2024)
Jinyu Chen, Wenchao Xu, Zicong Hong, Song Guo, Haozhao Wang, Jie Zhang, Deze Zeng
OTAS: An Elastic Transformer Serving System via Token Adaptation. INFOCOM (2024)
Yingchun Wang, Song Guo, Jingcai Guo, Jie Zhang, Weizhan Zhang, Caixia Yan, Yuanhong Zhang
Towards performance-maximizing neural network pruning via global channel attention. Neural Networks 171 (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)