百晓学者学者目录

吴珺

副教授，湖北工业大学

精选作品

期刊论文

2026

Robust contrastive graph clustering via reliable augmentation and two-stage self-supervision

Meng Li, Jun Wu, Yuanyuan Li, Lei Qu

Expert Systems With Applications，Vol. 302

DOI

2025

Combining association-rule-guided sequence augmentation with listwise contrastive learning for session-based recommendation☆

Xiangkui Lu, Jun Wu

Information Processing & Management，Vol. 62, No. 3

DOI

2025

基于区块链和人工智能技术的协同创新研究

吴珺

《信息与电脑》

2024

Text-dominant strategy for multistage optimized modality fusion in multimodal sentiment analysis

Jun Wu, Jiangpeng Wang, Shilong Jing, Jinyu Liu, Tianfeng Zhang, Min Han, Pengfei Zhan, Gan Zuo

Multimedia Systems

DOI

2024

MLGAT: multi-layer graph attention networks for multimodal emotion recognition in conversations

Jun Wu, Junwei Wu, Yu Zheng, Pengfei Zhan, Min Han, Gan Zuo, Li Yang

Journal of Intelligent Information Systems

DOI

2023

Hierarchical multiples self-attention mechanism for multi-modal analysis

Jun Wu, Tianliang Zhu, Jiahui Zhu, Tianyi Li, Wang Chunzhi

Multimedia Systems

DOI

2023

AB-GRU: An attention-based bidirectional GRU model for multimodal sentiment fusion and analysis

Jun Wu, Xinli Zheng, Jiangpeng Wang, Junwei Wu, Ji Wang

Mathematical Biosciences & Engineering

DOI

2022

A Optimized BERT for Multimodal Sentiment Analysis

Jun Wu, Tianliang Zhu, Jiahui Zhu, Tianyi Li, Chunzhi Wang

ACM Transactions on Multimedia Computing Communications and Applications

DOI

2022

Multi-Modal Sentiment Analysis Based on Interactive Attention Mechanism

Jun Wu, Tianliang Zhu, Xinli Zheng, Chunzhi Wang

Applied Sciences

DOI

2021

Graph-based rank aggregation method for high-dimensional and partial rankings

Yu Xiao, Hong-Zhong Deng, Xin Lu, Jun Wu

Journal Of The Operational Research Society，Vol. 720, No. 10

DOI

2019

基于深度学习的Wi-Fi网络入侵检测方法

刘明峰，郭顺森，韩然，侯路，吴珺，田小川

《计算机工程与设计》

DOI

2018

一种无监督的数据库用户行为异常检测方法

李海斌，李琦，汤汝鸣，吴珺，吕志远，裴丹，史俊杰，董旭，房双德，杨一飞，吴烨

《小型微型计算机系统》

2017

面向大数据的多维粒矩阵关联分析及应用

吴珺，王春枝

《计算机科学》

2016

城市隧道交通大数据分析及应用

吴珺，王春枝

《土木工程与管理学报》

2016

基于上下文感知的云计算平台分析研究

吴珺，黄志雄，王春枝

《华中师范大学学报(自然科学版)》

2016

Cooperative Spectrum Sensing With Data Mining of Multiple Users’ Historical Sensing Data

Xin-Lin Huang, Yu Gao, Jun Wu, Jian Chen, Yuan Xu

IEEE Access

DOI

2016

Historical Spectrum Sensing Data Mining for Cognitive Radio Enabled Vehicular Ad-Hoc Networks

Xin-Lin Huang, Jun Wu, Wenfeng Li, Zhifeng Zhang, Fu-Sheng Zhu, Minghao Wu

IEEE Transactions on Dependable and Secure Computing

DOI

2010

数据挖掘技术在彩票销售数据分析中的应用研究

吴珺

《郑州大学》

预印本

2026

Multi-Modal Style Transfer-based Prompt Tuning for Efficient Federated Domain Generalization

Yuliang Chen, Xi Lin, Jun Wu, Xiangrui Cai, Qiaolun Zhang, Xichun Fan, Jiapeng Xu, Xiu Su

arXiv preprint

DOI

2026

Addressing Imbalance in Multi-Label Data via Label-Specific Distance-based Oversampling

Bin Liu, Jun Wu, Haoyu Peng, Ao Zhou, Jin Wang, QiaoSong Chen, Grigorios Tsoumakas

arXiv preprint

2025

Addressing Cold-start Problem in Click-Through Rate Prediction via Supervised Diffusion Modeling

Wenqiao Zhu, Lulu Wang, Jun Wu

arXiv preprint

2025

SoK: Benchmarking Poisoning Attacks and Defenses in Federated Learning

Heyi Zhang, Yule Liu, Xinlei He, Jun Wu, Tianshuo Cong, Xinyi Huang

arXiv preprint

2025

FedPF: Accurate Target Privacy Preserving Federated Learning Balancing Fairness and Utility

Kangkang Sun, Jun Wu, Minyi Guo, Jianhua Li, Jianwei Huang

arXiv preprint

2025

Invariant Link Selector for Spatial-Temporal Out-of-Distribution Problem

Katherine Tieu, Dongqi Fu, Jun Wu, Jingrui He

arXiv preprint

2024

Trustworthy Transfer Learning: A Survey

Jun Wu, Jingrui He

arXiv preprint

DOI

2024

Learning to Hash for Recommendation: A Survey

Fangyuan Luo, Yankai Chen, Jun Wu, Tong Li, Philip S. Yu, Xue Liu

arXiv preprint

2023

Differentially Private Graph Neural Network with Importance-Grained Noise Adaption

Yuxin Qi, Xi Lin, Jun Wu

arXiv preprint

2023

Optimizing the Collaboration Structure in Cross-Silo Federated Learning

Wenxuan Bao, Haohan Wang, Jun Wu, Jingrui He

arXiv preprint

2023

Privacy Inference-Empowered Stealthy Backdoor Attack on Federated Learning under Non-IID Scenarios

Haochen Mei, Gaolei Li, Jun Wu, Longfei Zheng

arXiv preprint

2022

A Unified Meta-Learning Framework for Dynamic Transfer Learning

Jun Wu, Jingrui He

arXiv preprint

2022

Non-IID Transfer Learning on Graphs

Jun Wu, Jingrui He, Elizabeth Ainsworth

arXiv preprint

2022

Adaptive Transfer Learning for Plant Phenotyping

Jun Wu, Elizabeth A. Ainsworth, Sheng Wang, Kaiyu Guan, Jingrui He

arXiv preprint

2022

BOBA: Byzantine-Robust Federated Learning with Label Skewness

Wenxuan Bao, Jun Wu, Jingrui He

arXiv preprint

2022

LightFR: Lightweight Federated Recommendation with Privacy-preserving Matrix Factorization

Honglei Zhang, Fangyuan Luo, Jun Wu, Xiangnan He, Yidong Li

arXiv preprint

DOI

2022

From Bi-Level to One-Level: A Framework for Structural Attacks to Graph Anomaly Detection

Yulin Zhu, Yuni Lai, Kaifa Zhao, Xiapu Luo, Mingquan Yuan, Jun Wu, Jian Ren, Kai Zhou

arXiv preprint

2020

Continuous Transfer Learning with Label-informed Distribution Alignment

Jun Wu, Jingrui He

arXiv preprint

2020

Adversarial Robustness through Bias Variance Decomposition: A New Perspective for Federated Learning

Yao Zhou, Jun Wu, Haixun Wang, Jingrui He

arXiv preprint

2020

GAN-based Recommendation with Positive-Unlabeled Sampling

Yao Zhou, Jianpeng Xu, Jun Wu, Zeinab Taghavi Nasrabadi, Evren Korpeoglu, Kannan Achan, Jingrui He

arXiv preprint

2019

DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification

Jun Wu, Jingrui He, Jiejun Xu

arXiv preprint

2018

ImVerde: Vertex-Diminished Random Walk for Learning Network Representation from Imbalanced Data

Jun Wu, Jingrui He, Yongming Liu

arXiv preprint

研究方向

大数据技术及其应用数据挖掘及智能决策智慧城市及ITS系统

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