Shengwei Ji

According to our database, Shengwei Ji authored at least 21 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

LocalDGP: local degree-balanced graph partitioning for lightweight GNNs.

Shengwei Ji, Shengjie Li, Fei Liu, Qiang Xu

Appl. Intell., January, 2025

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

ACM Trans. Evol. Learn. Optim., December, 2024

Semantic- and relation-based graph neural network for knowledge graph completion.

Xinlu Li, Yujie Tian, Shengwei Ji

Appl. Intell., April, 2024

LocalTGEP: A Lightweight Edge Partitioner for Time-Varying Graph.

Shengwei Ji, Chenyang Bu, Lei Li, Xindong Wu

IEEE Trans. Emerg. Top. Comput., 2024

MD-GCCF: Multi-view deep graph contrastive learning for collaborative filtering.

Xinlu Li, Yujie Tian, Bingbing Dong, Shengwei Ji

Neurocomputing, 2024

Prompt Transfer for Dual-Aspect Cross Domain Cognitive Diagnosis.

Fei Liu, Yizhong Zhang, Shuochen Liu, Shengwei Ji, Kui Yu, Le Wu

CoRR, 2024

PromptGCN: Bridging Subgraph Gaps in Lightweight GCNs.

Shengwei Ji, Yujie Tian, Fei Liu, Xinlu Li, Le Wu

CoRR, 2024

2023

A lightweight mixup-based short texts clustering for contrastive learning.

Qiang Xu, Haibo Zan, Shengwei Ji

Frontiers Comput. Neurosci., 2023

Text clustering based on pre-trained models and autoencoders.

Qiang Xu, Hao Gu, Shengwei Ji

Frontiers Comput. Neurosci., 2023

HUSS: A Heuristic Method for Understanding the Semantic Structure of Spreadsheets.

Xindong Wu, Hao Chen, Chenyang Bu, Shengwei Ji, Zan Zhang, Victor S. Sheng

Data Intell., 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

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

IKGN: Intention-aware Knowledge Graph Network for POI Recommendation.

Xiaoyu Zhu, Chenyang Bu, Bingbing Dong, Shengwei Ji, Yi He, Xindong Wu

Proceedings of the IEEE International Conference on Data Mining, 2023

Comparative Research on Embedding Methods for Video Knowledge Graph.

Zhihong Zhou, Qiang Xu, Hui Ding, Shengwei Ji

Proceedings of the 2023 2nd Asia Conference on Algorithms, Computing and Machine Learning, 2023

2022

BERT- and BiLSTM-Based Sentiment Analysis of Online Chinese Buzzwords.

Xinlu Li, Yuanyuan Lei, Shengwei Ji

Future Internet, 2022

2021

Local Graph Edge Partitioning.

Shengwei Ji, Chenyang Bu, Lei Li, Xindong Wu

ACM Trans. Intell. Syst. Technol., 2021

A Weak Supervision Approach with Adversarial Training for Named Entity Recognition.

Jianxuan Shao, Chenyang Bu, Shengwei Ji, Xindong Wu

Proceedings of the PRICAI 2021: Trends in Artificial Intelligence, 2021

Meta-path Enhanced Knowledge Graph Convolutional Network for Recommender Systems.

Ru Wang, Meng Wu, Shengwei Ji

Proceedings of the 2021 IEEE International Conference on Big Knowledge, 2021

2020

An Abnormal Data Analysis and Processing Method for Genealogy Graph Databases.

Jianxuan Shao, Guliu Liu, Shengwei Ji

Proceedings of the 2020 IEEE International Conference on Knowledge Graph, 2020

Web Log Analysis in Genealogy System.

Xiaojian Liu, Yi Zhu, Shengwei Ji

Proceedings of the 2020 IEEE International Conference on Knowledge Graph, 2020

2019

Local Graph Edge Partitioning with a Two-Stage Heuristic Method.

Shengwei Ji, Chenyang Bu, Lei Li, Xindong Wu

Proceedings of the 39th IEEE International Conference on Distributed Computing Systems, 2019

2018

Confidence-Aware Negative Sampling Method for Noisy Knowledge Graph Embedding.

Yingchun Shan, Chenyang Bu, Xiaojian Liu, Shengwei Ji, Lei Li

Proceedings of the 2018 IEEE International Conference on Big Knowledge, 2018