A Large Scale Distance Learning System for IPv6/IPv4 Hybrid Environment. - Zhiwen Wang; Jie Zhang 076; Yanze Lian; Qinghua Zheng (CSSE (5), 2008)

The digital rights management game in peer-to-peer streaming systems. - Jie Zhang 076; Wei Lou (INFOCOM, 2011)

Symbol-level detection: A new approach to silencing hidden terminals. - Tao Xiong; Jie Zhang 076; Junmei Yao; Wei Lou (ICNP, 2012)

Community Clinic: Economizing Mobile Cloud Service Cost via Cloudlet Group. - Jie Zhang 076; Tao Xiong; Wei Lou (MASS, 2014)

On eliminating energy inefficiency of the packet overhearing problem in high traffic wireless LANs. - Tao Xiong; Jie Zhang 076; Wei Lou (SECON, 2014)

On Rule Placement for Multi-path Routing in Software-Defined Networks. - Jie Zhang 076; Deze Zeng; Lin Gu 002; Hong Yao; Yuanyuan Fan (CollaborateCom, 2015)

MIO: Enhancing Wireless Communications Security Through Physical Layer Multiple Inter-Symbol Obfuscation. - Tao Xiong; Wei Lou; Jie Zhang 076; Hailun Tan (IEEE Trans. Inf. Forensics Secur., 2015)

On Eliminating the Exposed Terminal Problem Using Signature Detection. - Junmei Yao; Tao Xiong; Jie Zhang 076; Wei Lou (IEEE Trans. Mob. Comput., 2016)

Minimize Coflow Completion Time via Joint Optimization of Flow Scheduling and Processor Placement. - Deze Zeng; Jie Zhang 076; Lin Gu 002; Peng Li 017; Hong Yao (GLOBECOM, 2017)

Joint Optimization of Virtual Function Migration and Rule Update in Software Defined NFV Networks. - Jie Zhang 076; Deze Zeng; Lin Gu 002; Hong Yao; Muzhou Xiong (GLOBECOM, 2017)

Which DRM grade could BYOD users employ? A differentiated DRM service between the cloud and mobile devices. - Jie Zhang 076; Wei Lou (IWQoS, 2017)

Take Renewable Energy into CRAN toward Green Wireless Access Networks. - Deze Zeng; Jie Zhang 076; Song Guo 001; Lin Gu 002; Kun Wang 005 (IEEE Netw., 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 076; Wei Lou (IEEE Trans. Mob. Comput., 2017)

Stochastic Scheduling Towards Cost Efficient Network Function Virtualization in Edge Cloud. - Deze Zeng; Jie Zhang 076; Lin Gu 002; Song Guo 001 (SECON, 2018)

Energy-Efficient Coordinated Multipoint Scheduling in Green Cloud Radio Access Network. - Deze Zeng; Jie Zhang 076; Lin Gu 002; Song Guo 001; Jiangtao Luo (IEEE Trans. Veh. Technol., 2018)

Multi-Path Routing Oriented Flow Statistics Collection in Software Defined Networks. - Jie Zhang 076; Song Guo 001; Deze Zeng; Zhihao Qu (ICPADS, 2019)

Dual-view Attention Networks for Single Image Super-Resolution. - Jingcai Guo; Shiheng Ma; Jie Zhang 076; Qihua Zhou; Song Guo 001 (ACM Multimedia, 2020)

Parameterized Knowledge Transfer for Personalized Federated Learning. - Jie Zhang 076; Song Guo 001; Xiaosong Ma; Haozhao Wang; Wenchao Xu 001; Feijie Wu (NeurIPS, 2021)

Layer-wised Model Aggregation for Personalized Federated Learning. - Xiaosong Ma; Jie Zhang 076; Song Guo 001; Wenchao Xu 001 (CVPR, 2022)

Sign bit is enough: a learning synchronization framework for multi-hop all-reduce with ultimate compression. - Feijie Wu; Shiqi He; Song Guo 001; Zhihao Qu; Haozhao Wang; Weihua Zhuang; Jie Zhang 076 (DAC, 2022)

Hierarchical Channel-spatial Encoding for Communication-efficient Collaborative Learning. - Qihua Zhou; Song Guo 001; Yi Liu 057; Jie Zhang 076; Jiewei Zhang; Tao Guo 004; Zhenda Xu; Xun Liu; Zhihao Qu (NeurIPS, 2022)

A Coalition Formation Game Approach for Personalized Federated Learning. - Leijie Wu; Song Guo 001; Yaohong Ding; Yufeng Zhan; Jie Zhang 076 (CoRR, 2022)

Fed-FSNet: Mitigating Non-I.I.D. Federated Learning via Fuzzy Synthesizing Network. - Jingcai Guo; Song Guo 001; Jie Zhang 076; Ziming Liu (CoRR, 2022)

Feature Correlation-guided Knowledge Transfer for Federated Self-supervised Learning. - Yi Liu 057; Song Guo 001; Jie Zhang 076; Qihua Zhou; Yingchun Wang; Xiaohan Zhao (CoRR, 2022)

FedTune: A Deep Dive into Efficient Federated Fine-Tuning with Pre-trained Transformers. - Jinyu Chen; Wenchao Xu 001; Song Guo 001; Junxiao Wang; Jie Zhang 076; Haozhao Wang (CoRR, 2022)

Demystify Self-Attention in Vision Transformers from a Semantic Perspective: Analysis and Application. - Leijie Wu; Song Guo 001; Yaohong Ding; Junxiao Wang; Wenchao Xu 001; Richard Yida Xu; Jie Zhang 076 (CoRR, 2022)

Exploiting Personalized Invariance for Better Out-of-distribution Generalization in Federated Learning. - Xueyang Tang; Song Guo 001; Jie Zhang 076 (CoRR, 2022)

Efficient Stein Variational Inference for Reliable Distribution-lossless Network Pruning. - Yingchun Wang; Song Guo 001; Jingcai Guo; Weizhan Zhang; Richard Yida Xu; Jie Zhang 076; Yi Liu 057 (CoRR, 2022)

Exploring Optimal Substructure for Out-of-distribution Generalization via Feature-targeted Model Pruning. - Yingchun Wang; Jingcai Guo; Song Guo 001; Weizhan Zhang; Jie Zhang 076 (CoRR, 2022)

Edge Learning: The Enabling Technology for Distributed Big Data Analytics in the Edge. - Jie Zhang 076; Zhihao Qu; Chenxi Chen; Haozhao Wang; Yufeng Zhan; Baoliu Ye; Song Guo 001 (ACM Comput. Surv., 2022)

Federated Unlearning: Guarantee the Right of Clients to Forget. - Leijie Wu; Song Guo 001; Junxiao Wang; Zicong Hong; Jie Zhang 076; Yaohong Ding (IEEE Netw., 2022)

Adaptive Federated Learning on Non-IID Data With Resource Constraint. - Jie Zhang 076; Song Guo 001; Zhihao Qu; Deze Zeng; Yufeng Zhan; Qifeng Liu; Rajendra Akerkar (IEEE Trans. Computers, 2022)

A Survey of Incentive Mechanism Design for Federated Learning. - Yufeng Zhan; Jie Zhang 076; Zicong Hong; Leijie Wu; Peng Li 017; Song Guo 001 (IEEE Trans. Emerg. Top. Comput., 2022)

Adaptive Vertical Federated Learning on Unbalanced Features. - Jie Zhang 076; Song Guo 001; Zhihao Qu; Deze Zeng; Haozhao Wang; Qifeng Liu; Albert Y. Zomaya (IEEE Trans. Parallel Distributed Syst., 2022)

Towards Unbiased Training in Federated Open-world Semi-supervised Learning. - Jie Zhang 076; Xiaosong Ma; Song Guo 001; Wenchao Xu 001 (ICML, 2023)

Towards Fairer and More Efficient Federated Learning via Multidimensional Personalized Edge Models. - Yingchun Wang; Jingcai Guo; Jie Zhang 076; Song Guo 001; Weizhan Zhang; Qinghua Zheng (IJCNN, 2023)

Prophet: Conflict-Free Sharding Blockchain via Byzantine-Tolerant Deterministic Ordering. - Zicong Hong; Song Guo 001; Enyuan Zhou; Jianting Zhang; Wuhui Chen; Jinwen Liang; Jie Zhang 076; Albert Y. Zomaya (INFOCOM, 2023)

SwapPrompt: Test-Time Prompt Adaptation for Vision-Language Models. - Xiaosong Ma; Jie Zhang 076; Song Guo 001; Wenchao Xu 001 (NeurIPS, 2023)

Opponent Modeling Based Dynamic Resource Trading for UAV-Assisted Edge Computing. - Jinxiang Bai; Zhe Wang 005; Jun Li 004; Long Shi 001; Jie Zhang 076; Kang Wei; Hengtao He (VTC Fall, 2023)

Dissecting Arbitrary-scale Super-resolution Capability from Pre-trained Diffusion Generative Models. - Ruibin Li; Qihua Zhou; Song Guo 001; Jie Zhang 076; Jingcai Guo; Xinyang Jiang; Yifei Shen; Zhenhua Han (CoRR, 2023)

On Knowledge Editing in Federated Learning: Perspectives, Challenges, and Future Directions. - Leijie Wu; Song Guo 001; Junxiao Wang; Zicong Hong; Jie Zhang 076; Jingren Zhou 001 (CoRR, 2023)

Combating Data Imbalances in Federated Semi-supervised Learning with Dual Regulators. - Sikai Bai; Shuaicheng Li; Weiming Zhuang; Jie Zhang 076; Song Guo 001; Kunlin Yang; Jun Hou; Shuai Zhang; Junyu Gao 001; Shuai Yi (CoRR, 2023)

Attribute-Aware Representation Rectification for Generalized Zero-Shot Learning. - Zhijie Rao; Jingcai Guo; Xiaocheng Lu; Qihua Zhou; Jie Zhang 076; Kang Wei; Chenxin Li; Song Guo 001 (CoRR, 2023)

FreePIH: Training-Free Painterly Image Harmonization with Diffusion Model. - Ruibin Li; Jingcai Guo; Song Guo 001; Qihua Zhou; Jie Zhang 076 (CoRR, 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 001; Xin Xie 001; Jie Zhang 076 (CoRR, 2023)

RuleDRL: Reliability-Aware SFC Provisioning With Bounded Approximations in Dynamic Environments. - Yue Zeng 002; Zhihao Qu; Song Guo 001; Bin Tang 002; Baoliu Ye; Jing Li 093; Jie Zhang 076 (IEEE Trans. Serv. Comput., 2023)

From Deterioration to Acceleration: A Calibration Approach to Rehabilitating Step Asynchronism in Federated Optimization. - Feijie Wu; Song Guo 001; Haozhao Wang; Haobo Zhang 002; Zhihao Qu; Jie Zhang 076; Ziming Liu (IEEE Trans. Parallel Distributed Syst., 2023)

Towards Data-Independent Knowledge Transfer in Model-Heterogeneous Federated Learning. - Jie Zhang 076; Song Guo 001; Jingcai Guo; Deze Zeng; Jingren Zhou 001; Albert Y. Zomaya (IEEE Trans. Computers, 2023)

Combating Data Imbalances in Federated Semi-supervised Learning with Dual Regulators. - Sikai Bai; Shuaicheng Li; Weiming Zhuang; Jie Zhang 076; Kunlin Yang; Jun Hou; Shuai Yi; Shuai Zhang; Junyu Gao 001 (AAAI, 2024)

On the Robustness of Neural-Enhanced Video Streaming against Adversarial Attacks. - Qihua Zhou; Jingcai Guo; Song Guo 001; Ruibin Li; Jie Zhang 076; Bingjie Wang; Zhenda Xu (AAAI, 2024)

DiPrompT: Disentangled Prompt Tuning for Multiple Latent Domain Generalization in Federated Learning. - Sikai Bai; Jie Zhang 076; Song Guo 001; Shuaicheng Li; Jingcai Guo; Jun Hou; Tao Han; Xiaocheng Lu (CVPR, 2024)

Learning Personalized Causally Invariant Representations for Heterogeneous Federated Clients. - Xueyang Tang; Song Guo 001; Jie Zhang 076; Jingcai Guo (ICLR, 2024)

Amend to Alignment: Decoupled Prompt Tuning for Mitigating Spurious Correlation in Vision-Language Models. - Jie Zhang 076; Xiaosong Ma; Song Guo 001; Peng Li 017; Wenchao Xu 001; Xueyang Tang; Zicong Hong (ICML, 2024)

Causally Motivated Personalized Federated Invariant Learning with Shortcut-Averse Information-Theoretic Regularization. - Xueyang Tang; Song Guo 001; Jingcai Guo; Jie Zhang 076; Yue Yu 001 (ICML, 2024)

Easing Concept Bleeding in Diffusion via Entity Localization and Anchoring. - Jiewei Zhang; Song Guo 001; Peiran Dong; Jie Zhang 076; Ziming Liu; Yue Yu 001; Xiao-Ming Wu (ICML, 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 076; Bo Han; Junyang Chen 001; Xin Xie 001; Song Guo 001 (IJCAI, 2024)

Dual Expert Distillation Network for Generalized Zero-Shot Learning. - Zhijie Rao; Jingcai Guo; Xiaocheng Lu; Jingming Liang; Jie Zhang 076; Haozhao Wang; Kang Wei; Xiaofeng Cao (IJCAI, 2024)

OTAS: An Elastic Transformer Serving System via Token Adaptation. - Jinyu Chen; Wenchao Xu 001; Zicong Hong; Song Guo 001; Haozhao Wang; Jie Zhang 076; Deze Zeng (INFOCOM, 2024)

SFP: Spurious Feature-Targeted Pruning for Out-of-Distribution Generalization. - Yingchun Wang; Jingcai Guo; Song Guo 001; Yi Liu 057; Jie Zhang 076; Weizhan Zhang (ACM Multimedia, 2024)

Towards Safe Concept Transfer of Multi-Modal Diffusion via Causal Representation Editing. - Peiran Dong; Bingjie Wang; Song Guo 001; Junxiao Wang; Jie Zhang 076; Zicong Hong (NeurIPS, 2024)

Towards performance-maximizing neural network pruning via global channel attention. - Yingchun Wang; Song Guo 001; Jingcai Guo; Jie Zhang 076; Weizhan Zhang; Caixia Yan; Yuanhong Zhang (Neural Networks, 2024)

SafeDRL: Dynamic Microservice Provisioning With Reliability and Latency Guarantees in Edge Environments. - Yue Zeng 002; Zhihao Qu; Song Guo 001; Baoliu Ye; Jie Zhang 076; Jing Li 093; Bin Tang 002 (IEEE Trans. Computers, 2024)

A Sustainable Supply Chain Design for Personalized Customization in Industry 5.0 Era. - Xingyuan Wang; Yufei Xue; Jie Zhang 076; Yan Hong 002; Song Guo 001; Xianyi Zeng (IEEE Trans. Ind. Informatics, 2024)

Human Cognition Modeling for the Metaverse-Oriented Design System. - Yan Hong 002; Song Guo 001; Xianyi Zeng; Jie Zhang 076 (IEEE Netw., 2024)

Causally Motivated Sycophancy Mitigation for Large Language Models. - Haoxi Li; Xueyang Tang; Jie Zhang 076; Song Guo 001; Sikai Bai; Peiran Dong; Yue Yu 001 (ICLR, 2025)

Exploring Prosocial Irrationality for LLM Agents: A Social Cognition View. - Xuan Liu 001; Jie Zhang 076; Haoyang Shang; Song Guo 001; Chengxu Yang; Quanyan Zhu (ICLR, 2025)

Collaborative Neural Architecture Search for Personalized Federated Learning. - Yi Liu 057; Song Guo 001; Jie Zhang 076; Zicong Hong; Yufeng Zhan; Qihua Zhou (IEEE Trans. Computers, 2025)

Model Decomposition and Reassembly for Purified Knowledge Transfer in Personalized Federated Learning. - Jie Zhang 076; Song Guo 001; Xiaosong Ma; Wenchao Xu 001; Qihua Zhou; Jingcai Guo; Zicong Hong; Jun Shan (IEEE Trans. Mob. Comput., 2025)

Advanced Product Personalization in Blockchain-Enabled Metaverse: A Diffusion Model for Automatic Style Generation. - Mengsi Li; Jie Zhang 076; Yan Hong 002; Xiangpeng Xie 001; Meng Zhang 011; Song Guo 001 (IEEE Internet Things J., 2025)

Social Group Oriented Recommendation Systems in Wireless Edge-Empowered Metaverse. - Xinping Li; Yan Hong 002; Meng Zhang 011; Xiangpeng Xie 001; Jie Zhang 076; Song Guo 001 (IEEE Netw., 2025)

Data Quality-Aware Mixed-Precision Quantization via Hybrid Reinforcement Learning. - Yingchun Wang; Song Guo 001; Jingcai Guo; Yuanhong Zhang; Weizhan Zhang; Qinghua Zheng; Jie Zhang 076 (IEEE Trans. Neural Networks Learn. Syst., 2025)

United Minds or Isolated Agents? Exploring Coordination of LLMs under Cognitive Load Theory. - Haoyang Shang; Xuan Liu 001; Zi Liang; Jie Zhang 076; Haibo Hu; Song Guo 001 (CoRR, 2025)

LazyEviction: Lagged KV Eviction with Attention Pattern Observation for Efficient Long Reasoning. - Haoyue Zhang; Hualei Zhang; Xiaosong Ma; Jie Zhang 076; Song Guo 001 (CoRR, 2025)

Feature Correlation-Guided Knowledge Transfer for Federated Self-Supervised Learning. - Yi Liu 057; Song Guo 001; Jie Zhang 076; Yufeng Zhan; Qihua Zhou; Yingchun Wang (IEEE Trans. Neural Networks Learn. Syst., 2025)

Think How to Think: Mitigating Overthinking with Autonomous Difficulty Cognition in Large Reasoning Models. - Yongjiang Liu; Haoxi Li; Xiaosong Ma; Jie Zhang 076; Song Guo 001 (CoRR, 2025)