Jie Zhang

92 papers A* 23B 9C 1Journal 56Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
AFedLF: Adaptive Layer Freezing of Foundation Models in Heterogeneous Federated Learning.
IEEE Trans. Mob. Comput.
Yue Zeng, Jie Zhang, Song Guo, Baoliu Ye, Zhihao Qu, Zicong Hong, Bin Tang, Jinyu Chen, Junlong Zhou, Jiaying Yu
2026 J jnl
EMFormer: Efficient Multi-Scale Transformer for Accumulative Context Weather Forecasting.
CoRR
Hao Chen, Tao Han, Jie Zhang, Song Guo, Fenghua Ling, Lei Bai
2025 J jnl
Advanced Product Personalization in Blockchain-Enabled Metaverse: A Diffusion Model for Automatic Style Generation.
IEEE Internet Things J.
Mengsi Li, Jie Zhang, Yan Hong, Xiangpeng Xie, Meng Zhang, Song Guo
2025 A* conf
Causally Motivated Sycophancy Mitigation for Large Language Models.
ICLR
Haoxi Li, Xueyang Tang, Jie Zhang, Song Guo, Sikai Bai, Peiran Dong, Yue Yu
2025 J jnl
Collaborative Neural Architecture Search for Personalized Federated Learning.
IEEE Trans. Computers
Yi Liu, Song Guo, Jie Zhang, Zicong Hong, Yufeng Zhan, Qihua Zhou
2025 J jnl
Data Quality-Aware Mixed-Precision Quantization via Hybrid Reinforcement Learning.
IEEE Trans. Neural Networks Learn. Syst.
Yingchun Wang, Song Guo, Jingcai Guo, Yuanhong Zhang, Weizhan Zhang, Qinghua Zheng, Jie Zhang
2025 J jnl
DiEP: Adaptive Mixture-of-Experts Compression through Differentiable Expert Pruning.
CoRR
Sikai Bai, Haoxi Li, Jie Zhang, Zicong Hong, Song Guo
2025 A* conf
Exploring Prosocial Irrationality for LLM Agents: A Social Cognition View.
ICLR
Xuan Liu, Jie Zhang, Haoyang Shang, Song Guo, Chengxu Yang, Quanyan Zhu
2025 J jnl
Feature Correlation-Guided Knowledge Transfer for Federated Self-Supervised Learning.
IEEE Trans. Neural Networks Learn. Syst.
Yi Liu, Song Guo, Jie Zhang, Yufeng Zhan, Qihua Zhou, Yingchun Wang
2025 J jnl
LazyEviction: Lagged KV Eviction with Attention Pattern Observation for Efficient Long Reasoning.
CoRR
Haoyue Zhang, Hualei Zhang, Xiaosong Ma, Jie Zhang, Song Guo
2025 J jnl
Metaverse-Oriented User Preference Recommendation Systems Based on DSD-Transformer.
IEEE Internet Things J.
Yan Hong, Ru Rao, Xinping Li, Jie Zhang, Xiaoqun Dai, Meng Zhang, Song Guo
2025 J jnl
Model Decomposition and Reassembly for Purified Knowledge Transfer in Personalized Federated Learning.
IEEE Trans. Mob. Comput.
Jie Zhang, Song Guo, Xiaosong Ma, Wenchao Xu, Qihua Zhou, Jingcai Guo, Zicong Hong, Jun Shan
2025 J jnl
STCast: Adaptive Boundary Alignment for Global and Regional Weather Forecasting.
CoRR
Hao Chen, Tao Han, Jie Zhang, Song Guo, Lei Bai
2025 J jnl
Social Group Oriented Recommendation Systems in Wireless Edge-Empowered Metaverse.
IEEE Netw.
Xinping Li, Yan Hong, Meng Zhang, Xiangpeng Xie, Jie Zhang, Song Guo
2025 J jnl
Think How to Think: Mitigating Overthinking with Autonomous Difficulty Cognition in Large Reasoning Models.
CoRR
Yongjiang Liu, Haoxi Li, Xiaosong Ma, Jie Zhang, Song Guo
2025 — conf
Uni-IL: Unified Incremental Learning of Vision-Language Models via Mixture of Attribute-Guided Experts.
MMAsia
Fanyu Meng, Yufeng Zhan, Jie Zhang, Zhiyuan Wang, Yuanqing Xia
2025 J jnl
United Minds or Isolated Agents? Exploring Coordination of LLMs under Cognitive Load Theory.
CoRR
Haoyang Shang, Xuan Liu, Zi Liang, Jie Zhang, Haibo Hu, Song Guo
2024 J jnl
A Sustainable Supply Chain Design for Personalized Customization in Industry 5.0 Era.
IEEE Trans. Ind. Informatics
Xingyuan Wang, Yufei Xue, Jie Zhang, Yan Hong, Song Guo, Xianyi Zeng
2024 A* conf
Amend to Alignment: Decoupled Prompt Tuning for Mitigating Spurious Correlation in Vision-Language Models.
ICML
Jie Zhang, Xiaosong Ma, Song Guo, Peng Li, Wenchao Xu, Xueyang Tang, Zicong Hong
2024 J jnl
CA-MoE: Channel-Adapted MoE for Incremental Weather Forecasting.
CoRR
Hao Chen, Han Tao, Guo Song, Jie Zhang, Yunlong Yu, Yonghan Dong, Chuang Yang, Lei Bai
2024 A* conf
Causally Motivated Personalized Federated Invariant Learning with Shortcut-Averse Information-Theoretic Regularization.
ICML
Xueyang Tang, Song Guo, Jingcai Guo, Jie Zhang, Yue Yu
2024 A* conf
Combating Data Imbalances in Federated Semi-supervised Learning with Dual Regulators.
AAAI
Sikai Bai, Shuaicheng Li, Weiming Zhuang, Jie Zhang, Kunlin Yang, Jun Hou, Shuai Yi, Shuai Zhang, Junyu Gao
2024 A* conf
DiPrompT: Disentangled Prompt Tuning for Multiple Latent Domain Generalization in Federated Learning.
CVPR
Sikai Bai, Jie Zhang, Song Guo, Shuaicheng Li, Jingcai Guo, Jun Hou, Tao Han, Xiaocheng Lu
2024 J jnl
DiPrompT: Disentangled Prompt Tuning for Multiple Latent Domain Generalization in Federated Learning.
CoRR
Sikai Bai, Jie Zhang, Shuaicheng Li, Song Guo, Jingcai Guo, Jun Hou, Tao Han, Xiaocheng Lu
2024 A* conf
Dual Expert Distillation Network for Generalized Zero-Shot Learning.
IJCAI
Zhijie Rao, Jingcai Guo, Xiaocheng Lu, Jingming Liang, Jie Zhang, Haozhao Wang, Kang Wei, Xiaofeng Cao
2024 J jnl
Dual Expert Distillation Network for Generalized Zero-Shot Learning.
CoRR
Zhijie Rao, Jingcai Guo, Xiaocheng Lu, Jingming Liang, Jie Zhang, Haozhao Wang, Kang Wei, Xiaofeng Cao
2024 A* conf
Easing Concept Bleeding in Diffusion via Entity Localization and Anchoring.
ICML
Jiewei Zhang, Song Guo, Peiran Dong, Jie Zhang, Ziming Liu, Yue Yu, Xiao-Ming Wu
2024 J jnl
Exploring Prosocial Irrationality for LLM Agents: A Social Cognition View.
CoRR
Xuan Liu, Jie Zhang, Song Guo, Haoyang Shang, Chengxu Yang, Quanyan Zhu
2024 J jnl
Human Cognition Modeling for the Metaverse-Oriented Design System.
IEEE Netw.
Yan Hong, Song Guo, Xianyi Zeng, Jie Zhang
2024 A* conf
Learning Personalized Causally Invariant Representations for Heterogeneous Federated Clients.
ICLR
Xueyang Tang, Song Guo, Jie Zhang, Jingcai Guo
2024 A* conf
OTAS: An Elastic Transformer Serving System via Token Adaptation.
INFOCOM
Jinyu Chen, Wenchao Xu, Zicong Hong, Song Guo, Haozhao Wang, Jie Zhang, Deze Zeng
2024 J jnl
OTAS: An Elastic Transformer Serving System via Token Adaptation.
CoRR
Jinyu Chen, Wenchao Xu, Zicong Hong, Song Guo, Haozhao Wang, Jie Zhang, Deze Zeng
2024 A* conf
On the Robustness of Neural-Enhanced Video Streaming against Adversarial Attacks.
AAAI
Qihua Zhou, Jingcai Guo, Song Guo, Ruibin Li, Jie Zhang, Bingjie Wang, Zhenda Xu
2024 A* conf
ParsNets: A Parsimonious Composition of Orthogonal and Low-Rank Linear Networks for Zero-Shot Learning.
IJCAI
Jingcai Guo, Qihua Zhou, Xiaocheng Lu, Ruibin Li, Ziming Liu, Jie Zhang, Bo Han, Junyang Chen, Xin Xie, Song Guo
2024 A* conf
SFP: Spurious Feature-Targeted Pruning for Out-of-Distribution Generalization.
ACM Multimedia
Yingchun Wang, Jingcai Guo, Song Guo, Yi Liu, Jie Zhang, Weizhan Zhang
2024 J jnl
SafeDRL: Dynamic Microservice Provisioning With Reliability and Latency Guarantees in Edge Environments.
IEEE Trans. Computers
Yue Zeng, Zhihao Qu, Song Guo, Baoliu Ye, Jie Zhang, Jing Li, Bin Tang
2024 A* conf
Towards Safe Concept Transfer of Multi-Modal Diffusion via Causal Representation Editing.
NeurIPS
Peiran Dong, Bingjie Wang, Song Guo, Junxiao Wang, Jie Zhang, Zicong Hong
2024 J jnl
Towards performance-maximizing neural network pruning via global channel attention.
Neural Networks
Yingchun Wang, Song Guo, Jingcai Guo, Jie Zhang, Weizhan Zhang, Caixia Yan, Yuanhong Zhang
2023 J jnl
Attribute-Aware Representation Rectification for Generalized Zero-Shot Learning.
CoRR
Zhijie Rao, Jingcai Guo, Xiaocheng Lu, Qihua Zhou, Jie Zhang, Kang Wei, Chenxin Li, Song Guo
2023 J jnl
Combating Data Imbalances in Federated Semi-supervised Learning with Dual Regulators.
CoRR
Sikai Bai, Shuaicheng Li, Weiming Zhuang, Jie Zhang, Song Guo, Kunlin Yang, Jun Hou, Shuai Zhang, Junyu Gao, Shuai Yi
2023 J jnl
Dissecting Arbitrary-scale Super-resolution Capability from Pre-trained Diffusion Generative Models.
CoRR
Ruibin Li, Qihua Zhou, Song Guo, Jie Zhang, Jingcai Guo, Xinyang Jiang, Yifei Shen, Zhenhua Han
2023 J jnl
FreePIH: Training-Free Painterly Image Harmonization with Diffusion Model.
CoRR
Ruibin Li, Jingcai Guo, Song Guo, Qihua Zhou, Jie Zhang
2023 J jnl
From Deterioration to Acceleration: A Calibration Approach to Rehabilitating Step Asynchronism in Federated Optimization.
IEEE Trans. Parallel Distributed Syst.
Feijie Wu, Song Guo, Haozhao Wang, Haobo Zhang, Zhihao Qu, Jie Zhang, Ziming Liu
2023 J jnl
On Knowledge Editing in Federated Learning: Perspectives, Challenges, and Future Directions.
CoRR
Leijie Wu, Song Guo, Junxiao Wang, Zicong Hong, Jie Zhang, Jingren Zhou
2023 — conf
Opponent Modeling Based Dynamic Resource Trading for UAV-Assisted Edge Computing.
VTC Fall
Jinxiang Bai, Zhe Wang, Jun Li, Long Shi, Jie Zhang, Kang Wei, Hengtao He
2023 J jnl
ParsNets: A Parsimonious Orthogonal and Low-Rank Linear Networks for Zero-Shot Learning.
CoRR
Jingcai Guo, Qihua Zhou, Ruibing Li, Xiaocheng Lu, Ziming Liu, Junyang Chen, Xin Xie, Jie Zhang
2023 A* conf
Prophet: Conflict-Free Sharding Blockchain via Byzantine-Tolerant Deterministic Ordering.
INFOCOM
Zicong Hong, Song Guo, Enyuan Zhou, Jianting Zhang, Wuhui Chen, Jinwen Liang, Jie Zhang, Albert Y. Zomaya
2023 J jnl
Prophet: Conflict-Free Sharding Blockchain via Byzantine-Tolerant Deterministic Ordering.
CoRR
Zicong Hong, Song Guo, Enyuan Zhou, Jianting Zhang, Wuhui Chen, Jinwen Liang, Jie Zhang, Albert Y. Zomaya
2023 J jnl
RuleDRL: Reliability-Aware SFC Provisioning With Bounded Approximations in Dynamic Environments.
IEEE Trans. Serv. Comput.
Yue Zeng, Zhihao Qu, Song Guo, Bin Tang, Baoliu Ye, Jing Li, Jie Zhang
2023 A* conf
SwapPrompt: Test-Time Prompt Adaptation for Vision-Language Models.
NeurIPS
Xiaosong Ma, Jie Zhang, Song Guo, Wenchao Xu
2023 J jnl
Towards Data-Independent Knowledge Transfer in Model-Heterogeneous Federated Learning.
IEEE Trans. Computers
Jie Zhang, Song Guo, Jingcai Guo, Deze Zeng, Jingren Zhou, Albert Y. Zomaya
2023 B conf
Towards Fairer and More Efficient Federated Learning via Multidimensional Personalized Edge Models.
IJCNN
Yingchun Wang, Jingcai Guo, Jie Zhang, Song Guo, Weizhan Zhang, Qinghua Zheng
2023 A* conf
Towards Unbiased Training in Federated Open-world Semi-supervised Learning.
ICML
Jie Zhang, Xiaosong Ma, Song Guo, Wenchao Xu
2023 J jnl
Towards Unbiased Training in Federated Open-world Semi-supervised Learning.
CoRR
Jie Zhang, Xiaosong Ma, Song Guo, Wenchao Xu
2022 J jnl
A Coalition Formation Game Approach for Personalized Federated Learning.
CoRR
Leijie Wu, Song Guo, Yaohong Ding, Yufeng Zhan, Jie Zhang
2022 J jnl
A Survey of Incentive Mechanism Design for Federated Learning.
IEEE Trans. Emerg. Top. Comput.
Yufeng Zhan, Jie Zhang, Zicong Hong, Leijie Wu, Peng Li, Song Guo
2022 J jnl
Adaptive Federated Learning on Non-IID Data With Resource Constraint.
IEEE Trans. Computers
Jie Zhang, Song Guo, Zhihao Qu, Deze Zeng, Yufeng Zhan, Qifeng Liu, Rajendra Akerkar
2022 J jnl
Adaptive Vertical Federated Learning on Unbalanced Features.
IEEE Trans. Parallel Distributed Syst.
Jie Zhang, Song Guo, Zhihao Qu, Deze Zeng, Haozhao Wang, Qifeng Liu, Albert Y. Zomaya
2022 J jnl
Demystify Self-Attention in Vision Transformers from a Semantic Perspective: Analysis and Application.
CoRR
Leijie Wu, Song Guo, Yaohong Ding, Junxiao Wang, Wenchao Xu, Richard Yida Xu, Jie Zhang
2022 J jnl
Edge Learning: The Enabling Technology for Distributed Big Data Analytics in the Edge.
ACM Comput. Surv.
Jie Zhang, Zhihao Qu, Chenxi Chen, Haozhao Wang, Yufeng Zhan, Baoliu Ye, Song Guo
2022 J jnl
Efficient Stein Variational Inference for Reliable Distribution-lossless Network Pruning.
CoRR
Yingchun Wang, Song Guo, Jingcai Guo, Weizhan Zhang, Richard Yida Xu, Jie Zhang, Yi Liu
2022 J jnl
Exploiting Personalized Invariance for Better Out-of-distribution Generalization in Federated Learning.
CoRR
Xueyang Tang, Song Guo, Jie Zhang
2022 J jnl
Exploring Optimal Substructure for Out-of-distribution Generalization via Feature-targeted Model Pruning.
CoRR
Yingchun Wang, Jingcai Guo, Song Guo, Weizhan Zhang, Jie Zhang
2022 J jnl
Feature Correlation-guided Knowledge Transfer for Federated Self-supervised Learning.
CoRR
Yi Liu, Song Guo, Jie Zhang, Qihua Zhou, Yingchun Wang, Xiaohan Zhao
2022 J jnl
Fed-FSNet: Mitigating Non-I.I.D. Federated Learning via Fuzzy Synthesizing Network.
CoRR
Jingcai Guo, Song Guo, Jie Zhang, Ziming Liu
2022 J jnl
FedTune: A Deep Dive into Efficient Federated Fine-Tuning with Pre-trained Transformers.
CoRR
Jinyu Chen, Wenchao Xu, Song Guo, Junxiao Wang, Jie Zhang, Haozhao Wang
2022 J jnl
Federated Unlearning: Guarantee the Right of Clients to Forget.
IEEE Netw.
Leijie Wu, Song Guo, Junxiao Wang, Zicong Hong, Jie Zhang, Yaohong Ding
2022 A* conf
Hierarchical Channel-spatial Encoding for Communication-efficient Collaborative Learning.
NeurIPS
Qihua Zhou, Song Guo, Yi Liu, Jie Zhang, Jiewei Zhang, Tao Guo, Zhenda Xu, Xun Liu, Zhihao Qu
2022 A* conf
Layer-wised Model Aggregation for Personalized Federated Learning.
CVPR
Xiaosong Ma, Jie Zhang, Song Guo, Wenchao Xu
2022 J jnl
Layer-wised Model Aggregation for Personalized Federated Learning.
CoRR
Xiaosong Ma, Jie Zhang, Song Guo, Wenchao Xu
2022 J jnl
Sign Bit is Enough: A Learning Synchronization Framework for Multi-hop All-reduce with Ultimate Compression.
CoRR
Feijie Wu, Shiqi He, Song Guo, Zhihao Qu, Haozhao Wang, Weihua Zhuang, Jie Zhang
2022 A* conf
Sign bit is enough: a learning synchronization framework for multi-hop all-reduce with ultimate compression.
DAC
Feijie Wu, Shiqi He, Song Guo, Zhihao Qu, Haozhao Wang, Weihua Zhuang, Jie Zhang
2021 J jnl
From Deterioration to Acceleration: A Calibration Approach to Rehabilitating Step Asynchronism in Federated Optimization.
CoRR
Feijie Wu, Song Guo, Haozhao Wang, Zhihao Qu, Haobo Zhang, Jie Zhang, Ziming Liu
2021 A* conf
Parameterized Knowledge Transfer for Personalized Federated Learning.
NeurIPS
Jie Zhang, Song Guo, Xiaosong Ma, Haozhao Wang, Wenchao Xu, Feijie Wu
2021 J jnl
Parameterized Knowledge Transfer for Personalized Federated Learning.
CoRR
Jie Zhang, Song Guo, Xiaosong Ma, Haozhao Wang, Wenchao Xu, Feijie Wu
2020 A* conf
Dual-view Attention Networks for Single Image Super-Resolution.
ACM Multimedia
Jingcai Guo, Shiheng Ma, Jie Zhang, Qihua Zhou, Song Guo
2019 B conf
Multi-Path Routing Oriented Flow Statistics Collection in Software Defined Networks.
ICPADS
Jie Zhang, Song Guo, Deze Zeng, Zhihao Qu
2018 J jnl
Energy-Efficient Coordinated Multipoint Scheduling in Green Cloud Radio Access Network.
IEEE Trans. Veh. Technol.
Deze Zeng, Jie Zhang, Lin Gu, Song Guo, Jiangtao Luo
2018 B conf
Stochastic Scheduling Towards Cost Efficient Network Function Virtualization in Edge Cloud.
SECON
Deze Zeng, Jie Zhang, Lin Gu, Song Guo
2017 J jnl
It Can Drain Out Your Energy: An Energy-Saving Mechanism Against Packet Overhearing in High Traffic Wireless LANs.
IEEE Trans. Mob. Comput.
Tao Xiong, Junmei Yao, Jie Zhang, Wei Lou
2017 B conf
Joint Optimization of Virtual Function Migration and Rule Update in Software Defined NFV Networks.
GLOBECOM
Jie Zhang, Deze Zeng, Lin Gu, Hong Yao, Muzhou Xiong
2017 B conf
Minimize Coflow Completion Time via Joint Optimization of Flow Scheduling and Processor Placement.
GLOBECOM
Deze Zeng, Jie Zhang, Lin Gu, Peng Li, Hong Yao
2017 J jnl
Take Renewable Energy into CRAN toward Green Wireless Access Networks.
IEEE Netw.
Deze Zeng, Jie Zhang, Song Guo, Lin Gu, Kun Wang
2017 B conf
Which DRM grade could BYOD users employ? A differentiated DRM service between the cloud and mobile devices.
IWQoS
Jie Zhang, Wei Lou
2016 J jnl
On Eliminating the Exposed Terminal Problem Using Signature Detection.
IEEE Trans. Mob. Comput.
Junmei Yao, Tao Xiong, Jie Zhang, Wei Lou
2015 J jnl
MIO: Enhancing Wireless Communications Security Through Physical Layer Multiple Inter-Symbol Obfuscation.
IEEE Trans. Inf. Forensics Secur.
Tao Xiong, Wei Lou, Jie Zhang, Hailun Tan
2015 C conf
On Rule Placement for Multi-path Routing in Software-Defined Networks.
CollaborateCom
Jie Zhang, Deze Zeng, Lin Gu, Hong Yao, Yuanyuan Fan
2014 B conf
Community Clinic: Economizing Mobile Cloud Service Cost via Cloudlet Group.
MASS
Jie Zhang, Tao Xiong, Wei Lou
2014 B conf
On eliminating energy inefficiency of the packet overhearing problem in high traffic wireless LANs.
SECON
Tao Xiong, Jie Zhang, Wei Lou
2012 B conf
Symbol-level detection: A new approach to silencing hidden terminals.
ICNP
Tao Xiong, Jie Zhang, Junmei Yao, Wei Lou
2011 A* conf
The digital rights management game in peer-to-peer streaming systems.
INFOCOM
Jie Zhang, Wei Lou
2008 — conf
A Large Scale Distance Learning System for IPv6/IPv4 Hybrid Environment.
CSSE (5)
Zhiwen Wang, Jie Zhang, Yanze Lian, Qinghua Zheng