Jie Zhang

According to our database, Jie Zhang authored at least 63 papers between 2008 and 2024.

Collaborative distances:

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

2024

A Sustainable Supply Chain Design for Personalized Customization in Industry 5.0 Era.

Xingyuan Wang, Yufei Xue, Jie Zhang, Yan Hong, Song Guo, Xianyi Zeng

IEEE Trans. Ind. Informatics, June, 2024

SafeDRL: Dynamic Microservice Provisioning With Reliability and Latency Guarantees in Edge Environments.

Yue Zeng, Zhihao Qu, Song Guo, Baoliu Ye, Jie Zhang, Jing Li, Bin Tang

IEEE Trans. Computers, January, 2024

Towards performance-maximizing neural network pruning via global channel attention.

Yingchun Wang, Song Guo, Jingcai Guo, Jie Zhang, Weizhan Zhang, Caixia Yan, Yuanhong Zhang

Neural Networks, 2024

Exploring Prosocial Irrationality for LLM Agents: A Social Cognition View.

Xuan Liu, Jie Zhang, Song Guo, Haoyang Shang, Chengxu Yang, Quanyan Zhu

CoRR, 2024

SFP: Spurious Feature-Targeted Pruning for Out-of-Distribution Generalization.

Yingchun Wang, Jingcai Guo, Song Guo, Yi Liu, Jie Zhang, Weizhan Zhang

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

OTAS: An Elastic Transformer Serving System via Token Adaptation.

Jinyu Chen, Wenchao Xu, Zicong Hong, Song Guo, Haozhao Wang, Jie Zhang, Deze Zeng

Proceedings of the IEEE INFOCOM 2024, 2024

Dual Expert Distillation Network for Generalized Zero-Shot Learning.

Zhijie Rao, Jingcai Guo, Xiaocheng Lu, Jingming Liang, Jie Zhang, Haozhao Wang, Kang Wei, Xiaofeng Cao

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

ParsNets: A Parsimonious Composition of Orthogonal and Low-Rank Linear Networks for Zero-Shot Learning.

Jingcai Guo, Qihua Zhou, Xiaocheng Lu, Ruibin Li, Ziming Liu, Jie Zhang, Bo Han, Junyang Chen, Xin Xie, Song Guo

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Easing Concept Bleeding in Diffusion via Entity Localization and Anchoring.

Jiewei Zhang, Song Guo, Peiran Dong, Jie Zhang, Ziming Liu, Yue Yu, Xiao-Ming Wu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Causally Motivated Personalized Federated Invariant Learning with Shortcut-Averse Information-Theoretic Regularization.

Xueyang Tang, Song Guo, Jingcai Guo, Jie Zhang, Yue Yu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Amend to Alignment: Decoupled Prompt Tuning for Mitigating Spurious Correlation in Vision-Language Models.

Jie Zhang, Xiaosong Ma, Song Guo, Peng Li, Wenchao Xu, Xueyang Tang, Zicong Hong

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Learning Personalized Causally Invariant Representations for Heterogeneous Federated Clients.

Xueyang Tang, Song Guo, Jie Zhang, Jingcai Guo

Proceedings of the Twelfth International Conference on Learning Representations, 2024

DiPrompT: Disentangled Prompt Tuning for Multiple Latent Domain Generalization in Federated Learning.

Sikai Bai, Jie Zhang, Song Guo, Shuaicheng Li, Jingcai Guo, Jun Hou, Tao Han, Xiaocheng Lu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

On the Robustness of Neural-Enhanced Video Streaming against Adversarial Attacks.

Qihua Zhou, Jingcai Guo, Song Guo, Ruibin Li, Jie Zhang, Bingjie Wang, Zhenda Xu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Combating Data Imbalances in Federated Semi-supervised Learning with Dual Regulators.

Sikai Bai, Shuaicheng Li, Weiming Zhuang, Jie Zhang, Kunlin Yang, Jun Hou, Shuai Yi, Shuai Zhang, Junyu Gao

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Towards Data-Independent Knowledge Transfer in Model-Heterogeneous Federated Learning.

Jie Zhang, Song Guo, Jingcai Guo, Deze Zeng, Jingren Zhou, Albert Y. Zomaya

IEEE Trans. Computers, October, 2023

From Deterioration to Acceleration: A Calibration Approach to Rehabilitating Step Asynchronism in Federated Optimization.

Feijie Wu, Song Guo, Haozhao Wang, Haobo Zhang, Zhihao Qu, Jie Zhang, Ziming Liu

IEEE Trans. Parallel Distributed Syst., May, 2023

RuleDRL: Reliability-Aware SFC Provisioning With Bounded Approximations in Dynamic Environments.

Yue Zeng, Zhihao Qu, Song Guo, Bin Tang, Baoliu Ye, Jing Li, Jie Zhang

IEEE Trans. Serv. Comput., 2023

ParsNets: A Parsimonious Orthogonal and Low-Rank Linear Networks for Zero-Shot Learning.

Jingcai Guo, Qihua Zhou, Ruibing Li, Xiaocheng Lu, Ziming Liu, Junyang Chen, Xin Xie, Jie Zhang

CoRR, 2023

FreePIH: Training-Free Painterly Image Harmonization with Diffusion Model.

Ruibin Li, Jingcai Guo, Song Guo, Qihua Zhou, Jie Zhang

CoRR, 2023

Attribute-Aware Representation Rectification for Generalized Zero-Shot Learning.

Zhijie Rao, Jingcai Guo, Xiaocheng Lu, Qihua Zhou, Jie Zhang, Kang Wei, Chenxin Li, Song Guo

CoRR, 2023

Combating Data Imbalances in Federated Semi-supervised Learning with Dual Regulators.

Sikai Bai, Shuaicheng Li, Weiming Zhuang, Jie Zhang, Song Guo, Kunlin Yang, Jun Hou, Shuai Zhang, Junyu Gao, Shuai Yi

CoRR, 2023

On Knowledge Editing in Federated Learning: Perspectives, Challenges, and Future Directions.

Leijie Wu, Song Guo, Junxiao Wang, Zicong Hong, Jie Zhang, Jingren Zhou

CoRR, 2023

Dissecting Arbitrary-scale Super-resolution Capability from Pre-trained Diffusion Generative Models.

Ruibin Li, Qihua Zhou, Song Guo, Jie Zhang, Jingcai Guo, Xinyang Jiang, Yifei Shen, Zhenhua Han

CoRR, 2023

Opponent Modeling Based Dynamic Resource Trading for UAV-Assisted Edge Computing.

Jinxiang Bai, Zhe Wang, Jun Li, Long Shi, Jie Zhang, Kang Wei, Hengtao He

Proceedings of the 98th IEEE Vehicular Technology Conference, 2023

SwapPrompt: Test-Time Prompt Adaptation for Vision-Language Models.

Xiaosong Ma, Jie Zhang, Song Guo, Wenchao Xu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Prophet: Conflict-Free Sharding Blockchain via Byzantine-Tolerant Deterministic Ordering.

Zicong Hong, Song Guo, Enyuan Zhou, Jianting Zhang, Wuhui Chen, Jinwen Liang, Jie Zhang, Albert Y. Zomaya

Proceedings of the IEEE INFOCOM 2023, 2023

Towards Fairer and More Efficient Federated Learning via Multidimensional Personalized Edge Models.

Yingchun Wang, Jingcai Guo, Jie Zhang, Song Guo, Weizhan Zhang, Qinghua Zheng

Proceedings of the International Joint Conference on Neural Networks, 2023

Towards Unbiased Training in Federated Open-world Semi-supervised Learning.

Jie Zhang, Xiaosong Ma, Song Guo, Wenchao Xu

Proceedings of the International Conference on Machine Learning, 2023

2022

Adaptive Vertical Federated Learning on Unbalanced Features.

Jie Zhang, Song Guo, Zhihao Qu, Deze Zeng, Haozhao Wang, Qifeng Liu, Albert Y. Zomaya

IEEE Trans. Parallel Distributed Syst., 2022

A Survey of Incentive Mechanism Design for Federated Learning.

Yufeng Zhan, Jie Zhang, Zicong Hong, Leijie Wu, Peng Li, Song Guo

IEEE Trans. Emerg. Top. Comput., 2022

Adaptive Federated Learning on Non-IID Data With Resource Constraint.

Jie Zhang, Song Guo, Zhihao Qu, Deze Zeng, Yufeng Zhan, Qifeng Liu, Rajendra Akerkar

IEEE Trans. Computers, 2022

Federated Unlearning: Guarantee the Right of Clients to Forget.

Leijie Wu, Song Guo, Junxiao Wang, Zicong Hong, Jie Zhang, Yaohong Ding

IEEE Netw., 2022

Edge Learning: The Enabling Technology for Distributed Big Data Analytics in the Edge.

Jie Zhang, Zhihao Qu, Chenxi Chen, Haozhao Wang, Yufeng Zhan, Baoliu Ye, Song Guo

ACM Comput. Surv., 2022

Exploring Optimal Substructure for Out-of-distribution Generalization via Feature-targeted Model Pruning.

Yingchun Wang, Jingcai Guo, Song Guo, Weizhan Zhang, Jie Zhang

CoRR, 2022

Efficient Stein Variational Inference for Reliable Distribution-lossless Network Pruning.

Yingchun Wang, Song Guo, Jingcai Guo, Weizhan Zhang, Richard Yida Xu, Jie Zhang, Yi Liu

CoRR, 2022

Exploiting Personalized Invariance for Better Out-of-distribution Generalization in Federated Learning.

Xueyang Tang, Song Guo, Jie Zhang

CoRR, 2022

Demystify Self-Attention in Vision Transformers from a Semantic Perspective: Analysis and Application.

Leijie Wu, Song Guo, Yaohong Ding, Junxiao Wang, Wenchao Xu, Richard Yida Xu, Jie Zhang

CoRR, 2022

FedTune: A Deep Dive into Efficient Federated Fine-Tuning with Pre-trained Transformers.

Jinyu Chen, Wenchao Xu, Song Guo, Junxiao Wang, Jie Zhang, Haozhao Wang

CoRR, 2022

Feature Correlation-guided Knowledge Transfer for Federated Self-supervised Learning.

Yi Liu, Song Guo, Jie Zhang, Qihua Zhou, Yingchun Wang, Xiaohan Zhao

CoRR, 2022

Fed-FSNet: Mitigating Non-I.I.D. Federated Learning via Fuzzy Synthesizing Network.

Jingcai Guo, Song Guo, Jie Zhang, Ziming Liu

CoRR, 2022

A Coalition Formation Game Approach for Personalized Federated Learning.

Leijie Wu, Song Guo, Yaohong Ding, Yufeng Zhan, Jie Zhang

CoRR, 2022

Hierarchical Channel-spatial Encoding for Communication-efficient Collaborative Learning.

Qihua Zhou, Song Guo, Yi Liu, Jie Zhang, Jiewei Zhang, Tao Guo, Zhenda Xu, Xun Liu, Zhihao Qu

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

Sign bit is enough: a learning synchronization framework for multi-hop all-reduce with ultimate compression.

Feijie Wu, Shiqi He, Song Guo, Zhihao Qu, Haozhao Wang, Weihua Zhuang, Jie Zhang

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

Layer-wised Model Aggregation for Personalized Federated Learning.

Xiaosong Ma, Jie Zhang, Song Guo, Wenchao Xu

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

2021

Parameterized Knowledge Transfer for Personalized Federated Learning.

Jie Zhang, Song Guo, Xiaosong Ma, Haozhao Wang, Wenchao Xu, Feijie Wu

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Dual-view Attention Networks for Single Image Super-Resolution.

Jingcai Guo, Shiheng Ma, Jie Zhang, Qihua Zhou, Song Guo

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

2019

Multi-Path Routing Oriented Flow Statistics Collection in Software Defined Networks.

Jie Zhang, Song Guo, Deze Zeng, Zhihao Qu

Proceedings of the 25th IEEE International Conference on Parallel and Distributed Systems, 2019

2018

Energy-Efficient Coordinated Multipoint Scheduling in Green Cloud Radio Access Network.

Deze Zeng, Jie Zhang, Lin Gu, Song Guo, Jiangtao Luo

IEEE Trans. Veh. Technol., 2018

Stochastic Scheduling Towards Cost Efficient Network Function Virtualization in Edge Cloud.

Deze Zeng, Jie Zhang, Lin Gu, Song Guo

Proceedings of the 15th Annual IEEE International Conference on Sensing, 2018

2017

It Can Drain Out Your Energy: An Energy-Saving Mechanism Against Packet Overhearing in High Traffic Wireless LANs.

Tao Xiong, Junmei Yao, Jie Zhang, Wei Lou

IEEE Trans. Mob. Comput., 2017

Take Renewable Energy into CRAN toward Green Wireless Access Networks.

Deze Zeng, Jie Zhang, Song Guo, Lin Gu, Kun Wang

IEEE Netw., 2017

Which DRM grade could BYOD users employ? A differentiated DRM service between the cloud and mobile devices.

Jie Zhang, Wei Lou

Proceedings of the 25th IEEE/ACM International Symposium on Quality of Service, 2017

Joint Optimization of Virtual Function Migration and Rule Update in Software Defined NFV Networks.

Jie Zhang, Deze Zeng, Lin Gu, Hong Yao, Muzhou Xiong

Proceedings of the 2017 IEEE Global Communications Conference, 2017

Minimize Coflow Completion Time via Joint Optimization of Flow Scheduling and Processor Placement.

Deze Zeng, Jie Zhang, Lin Gu, Peng Li, Hong Yao

Proceedings of the 2017 IEEE Global Communications Conference, 2017

2016

On Eliminating the Exposed Terminal Problem Using Signature Detection.

Junmei Yao, Tao Xiong, Jie Zhang, Wei Lou

IEEE Trans. Mob. Comput., 2016

2015

MIO: Enhancing Wireless Communications Security Through Physical Layer Multiple Inter-Symbol Obfuscation.

Tao Xiong, Wei Lou, Jie Zhang, Hailun Tan

IEEE Trans. Inf. Forensics Secur., 2015

On Rule Placement for Multi-path Routing in Software-Defined Networks.

Jie Zhang, Deze Zeng, Lin Gu, Hong Yao, Yuanyuan Fan

Proceedings of the Collaborative Computing: Networking, Applications, and Worksharing, 2015

2014

On eliminating energy inefficiency of the packet overhearing problem in high traffic wireless LANs.

Tao Xiong, Jie Zhang, Wei Lou

Proceedings of the Eleventh Annual IEEE International Conference on Sensing, 2014

Community Clinic: Economizing Mobile Cloud Service Cost via Cloudlet Group.

Jie Zhang, Tao Xiong, Wei Lou

Proceedings of the 11th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, 2014

2012

Symbol-level detection: A new approach to silencing hidden terminals.

Tao Xiong, Jie Zhang, Junmei Yao, Wei Lou

Proceedings of the 20th IEEE International Conference on Network Protocols, 2012

2011

The digital rights management game in peer-to-peer streaming systems.

Jie Zhang, Wei Lou

Proceedings of the INFOCOM 2011. 30th IEEE International Conference on Computer Communications, 2011

2008

A Large Scale Distance Learning System for IPv6/IPv4 Hybrid Environment.

Zhiwen Wang, Jie Zhang, Yanze Lian, Qinghua Zheng

Proceedings of the International Conference on Computer Science and Software Engineering, 2008