Junji Jiang

22 papers A* 5A 1Journal 15Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Transformer with multi-scale Gaussian kernel attention for brain disease diagnosis.
Biomed. Signal Process. Control.
Junji Jiang, Yueying Zhou, Jinshan Zhang, Lishan Qiao
2025 J jnl
Enhanced Cognitive Load Detection in Air Traffic Control Operators Using EEG and a Hybrid Deep Learning Approach.
IEEE Access
Yueying Zhou, Junji Jiang, Lijun Wang, Shanshan Liang, Hao Liu
2025 J jnl
Knowledge enhanced graph contrastive learning for match outcome prediction.
Inf. Process. Manag.
Junji Jiang, Likang Wu, Zhipeng Hu, Runze Wu, Xudong Shen, Hongke Zhao
2024 J jnl
Deep graph representation learning influence maximization with accelerated inference.
Neural Networks
Tanmoy Chowdhury, Chen Ling, Junji Jiang, Junxiang Wang, My T. Thai, Liang Zhao
2024 J jnl
Going Beyond XAI: A Systematic Survey for Explanation-Guided Learning.
ACM Comput. Surv.
Yuyang Gao, Siyi Gu, Junji Jiang, Sungsoo Ray Hong, Dazhou Yu, Liang Zhao
2024 J jnl
Quantifying uncertainty in graph neural network explanations.
Frontiers Big Data
Junji Jiang, Chen Ling, Hongyi Li, Guangji Bai, Xujiang Zhao, Liang Zhao
2024 J jnl
Supporting Your Idea Reasonably: A Knowledge-Aware Topic Reasoning Strategy for Citation Recommendation.
IEEE Trans. Knowl. Data Eng.
Likang Wu, Zhi Li, Hongke Zhao, Zhenya Huang, Yongqiang Han, Junji Jiang, Enhong Chen
2024 J jnl
Team formation in large organizations: A deep reinforcement learning approach.
Decis. Support Syst.
Bing Lv, Junji Jiang, Likang Wu, Hongke Zhao
2023 A* conf
Deep Graph Representation Learning and Optimization for Influence Maximization.
ICML
Chen Ling, Junji Jiang, Junxiang Wang, My T. Thai, Renhao Xue, James Song, Meikang Qiu, Liang Zhao
2023 J jnl
Deep Graph Representation Learning and Optimization for Influence Maximization.
CoRR
Chen Ling, Junji Jiang, Junxiang Wang, My T. Thai, Lukas Xue, James Song, Meikang Qiu, Liang Zhao
2023 J jnl
Forecasting movements of stock time series based on hidden state guided deep learning approach.
Inf. Process. Manag.
Junji Jiang, Likang Wu, Hongke Zhao, Hengshu Zhu, Wei Zhang
2023 A* conf
KMF: Knowledge-Aware Multi-Faceted Representation Learning for Zero-Shot Node Classification.
IJCAI
Likang Wu, Junji Jiang, Hongke Zhao, Hao Wang, Defu Lian, Mengdi Zhang, Enhong Chen
2023 J jnl
KMF: Knowledge-Aware Multi-Faceted Representation Learning for Zero-Shot Node Classification.
CoRR
Likang Wu, Junji Jiang, Hongke Zhao, Hao Wang, Defu Lian, Mengdi Zhang, Enhong Chen
2023 A conf
Knowledge-Aware Cross-Semantic Alignment for Domain-Level Zero-Shot Recommendation.
CIKM
Junji Jiang, Hongke Zhao, Ming He, Likang Wu, Kai Zhang, Jianping Fan
2022 A* conf
An Invertible Graph Diffusion Neural Network for Source Localization.
WWW
Junxiang Wang, Junji Jiang, Liang Zhao
2022 J jnl
An Invertible Graph Diffusion Neural Network for Source Localization.
CoRR
Junxiang Wang, Junji Jiang, Liang Zhao
2022 A* conf
DeepGAR: Deep Graph Learning for Analogical Reasoning.
ICDM
Chen Ling, Tanmoy Chowdhury, Junji Jiang, Junxiang Wang, Xuchao Zhang, Haifeng Chen, Liang Zhao
2022 J jnl
DeepGAR: Deep Graph Learning for Analogical Reasoning.
CoRR
Chen Ling, Tanmoy Chowdhury, Junji Jiang, Junxiang Wang, Xuchao Zhang, Haifeng Chen, Liang Zhao
2022 J jnl
Going Beyond XAI: A Systematic Survey for Explanation-Guided Learning.
CoRR
Yuyang Gao, Siyi Gu, Junji Jiang, Sungsoo Ray Hong, Dazhou Yu, Liang Zhao
2022 A* conf
Source Localization of Graph Diffusion via Variational Autoencoders for Graph Inverse Problems.
KDD
Chen Ling, Junji Jiang, Junxiang Wang, Liang Zhao
2022 J jnl
Source Localization of Graph Diffusion via Variational Autoencoders for Graph Inverse Problems.
CoRR
Chen Ling, Junji Jiang, Junxiang Wang, Liang Zhao
2021 — conf
GraphGT: Machine Learning Datasets for Graph Generation and Transformation.
NeurIPS Datasets and Benchmarks
Yuanqi Du, Shiyu Wang, Xiaojie Guo, Hengning Cao, Shujie Hu, Junji Jiang, Aishwarya Varala, Abhinav Angirekula, Liang Zhao