Confidence-Aware Negative Sampling Method for Noisy Knowledge Graph Embedding. - Yingchun Shan; Chenyang Bu; Xiaojian Liu; Shengwei Ji; Lei Li 002 (ICBK, 2018)

Local Graph Edge Partitioning with a Two-Stage Heuristic Method. - Shengwei Ji; Chenyang Bu; Lei Li 002; Xindong Wu 001 (ICDCS, 2019)

Web Log Analysis in Genealogy System. - Xiaojian Liu; Yi Zhu 006; Shengwei Ji (ICKG, 2020)

An Abnormal Data Analysis and Processing Method for Genealogy Graph Databases. - Jianxuan Shao; Guliu Liu; Shengwei Ji (ICKG, 2020)

Meta-path Enhanced Knowledge Graph Convolutional Network for Recommender Systems. - Ru Wang; Meng Wu; Shengwei Ji (ICBK, 2021)

A Weak Supervision Approach with Adversarial Training for Named Entity Recognition. - Jianxuan Shao; Chenyang Bu; Shengwei Ji; Xindong Wu 001 (PRICAI (2), 2021)

Local Graph Edge Partitioning. - Shengwei Ji; Chenyang Bu; Lei Li 002; Xindong Wu 001 (ACM Trans. Intell. Syst. Technol., 2021)

BERT- and BiLSTM-Based Sentiment Analysis of Online Chinese Buzzwords. - Xinlu Li; Yuanyuan Lei 003; Shengwei Ji (Future Internet, 2022)

Comparative Research on Embedding Methods for Video Knowledge Graph. - Zhihong Zhou; Qiang Xu; Hui Ding; Shengwei Ji (CACML, 2023)

IKGN: Intention-aware Knowledge Graph Network for POI Recommendation. - Xiaoyu Zhu; Chenyang Bu; Bingbing Dong; Shengwei Ji; Yi He 007; Xindong Wu 001 (ICDM, 2023)

Discovering Reliable Information Extraction Patterns with Pre-Trained Model for Text with Writing Style. - Chenyang Bu; Jiacheng Liu; Jiaxuan Liu; Shengwei Ji; Hongbin Yang (SMC, 2023)

HUSS: A Heuristic Method for Understanding the Semantic Structure of Spreadsheets. - Xindong Wu 001; Hao Chen; Chenyang Bu; Shengwei Ji; Zan Zhang 002; Victor S. Sheng (Data Intell., 2023)

Text clustering based on pre-trained models and autoencoders. - Qiang Xu; Hao Gu; Shengwei Ji (Frontiers Comput. Neurosci., 2023)

A lightweight mixup-based short texts clustering for contrastive learning. - Qiang Xu; Haibo Zan; Shengwei Ji (Frontiers Comput. Neurosci., 2023)

SNG-TE: Sports News Generation with Text-Editing Model. - Qiang Xu; Wei Zhang; Hui Ding; Shengwei Ji (Intell. Autom. Soft Comput., 2023)

PromptGCN: Bridging Subgraph Gaps in Lightweight GCNs. - Shengwei Ji; Yujie Tian; Fei Liu 038; Xinlu Li; Le Wu (CoRR, 2024)

Prompt Transfer for Dual-Aspect Cross Domain Cognitive Diagnosis. - Fei Liu 038; Yizhong Zhang; Shuochen Liu; Shengwei Ji; Kui Yu; Le Wu (CoRR, 2024)

MD-GCCF: Multi-view deep graph contrastive learning for collaborative filtering. - Xinlu Li; Yujie Tian; Bingbing Dong; Shengwei Ji (Neurocomputing, 2024)

LocalTGEP: A Lightweight Edge Partitioner for Time-Varying Graph. - Shengwei Ji; Chenyang Bu; Lei Li 002; Xindong Wu 001 (IEEE Trans. Emerg. Top. Comput., 2024)

Semantic- and relation-based graph neural network for knowledge graph completion. - Xinlu Li; Yujie Tian; Shengwei Ji (Appl. Intell., 2024)

Layer-Wise Learning Rate Optimization for Task-Dependent Fine-Tuning of Pre-Trained Models: An Evolutionary Approach. - Chenyang Bu; Yuxin Liu; Manzong Huang; Jianxuan Shao; Shengwei Ji; Wenjian Luo; Xindong Wu 001 (ACM Trans. Evol. Learn. Optim., 2024)

Multi-Level Knowledge Distillation with Positional Encoding Enhancement. - Lixiang Xu; Zhiwen Wang; Lu Bai 001; Shengwei Ji; Bing Ai; Xiaofeng Wang; Philip S. Yu (Pattern Recognit., 2025)

Improved Extrapolation Method With Prior Aperture Phase Distribution. - Siteng HuYan; Zhihao Zhang; Shengwei Ji; Wei Chen; Jia Zhao; Xiao Xu; Liuge Du (IEEE Trans. Instrum. Meas., 2025)

LocalDGP: local degree-balanced graph partitioning for lightweight GNNs. - Shengwei Ji; Shengjie Li; Fei Liu 038; Qiang Xu (Appl. Intell., 2025)

Simplified multi-view graph neural network for multilingual knowledge graph completion. - Bingbing Dong; Chenyang Bu; Yi Zhu 006; Shengwei Ji; Xindong Wu 001 (Frontiers Comput. Sci., 2025)