Ke Shu

According to our database, Ke Shu authored at least 15 papers between 2020 and 2026.

Collaborative distances:

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

2026

Detecting Latin in Historical Books with Large Language Models: A Multimodal Benchmark.

Yu Wu, Ke Shu, Jonas Fischer, Lidia Pivovarova, David Rosson, Eetu Mäkelä, Mikko Tolonen

Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

2025

Dual-Channel Graph Ranking Contrastive Learning for Dissolved Gas Analysis.

Yingyue Zhang, Huifang Ma, Di Zhang, Ke Shu, Xiaolong Li

IEEE Trans. Ind. Informatics, August, 2025

Machine Learning Tackles the Challenge of Powder X-ray Diffraction Indexing for All Crystal Systems.

Ke Shu, Dong-Yun Gui, Wei-Xin Yan, Chun-Hai Wang

J. Chem. Inf. Model., 2025

2024

GraphSmin: Imbalanced dissolved gas analysis with contrastive dual-channel graph filters.

Ke Shu, Huifang Ma, Jinpeng Yang, Di Zhang

Adv. Eng. Informatics, 2024

Path-Aware Co-contrastive Learning for Signed Directed Network Embedding.

Yuechen Tang, Huifang Ma, Ke Shu, Zhixin Li, Liang Chang

Proceedings of the Database Systems for Advanced Applications, 2024

Graph Contrastive Learning for Dissolved Gas Analysis.

Yingyue Zhang, Huifang Ma, Di Zhang, Ke Shu, Xiaolong Li

Proceedings of the Advanced Data Mining and Applications - 20th International Conference, 2024

GCS: A Graph-Augmented Semi-supervised Contrastive Learning Approach for Imbalanced Dissolved Gas Analysis in Power Transformers.

Ke Shu, Huifang Ma, Li Yu, Qibin Zhang

Proceedings of the Advanced Data Mining and Applications - 20th International Conference, 2024

2023

A Scalable Query-Aware Enormous Database Generator for Database Evaluation.

Qingshuai Wang, Yuming Li, Rong Zhang, Ke Shu, Zhenjie Zhang, Aoying Zhou

IEEE Trans. Knowl. Data Eng., May, 2023

2022

Cross-Modal Food Retrieval: Learning a Joint Embedding of Food Images and Recipes With Semantic Consistency and Attention Mechanism.

Hao Wang, Doyen Sahoo, Chenghao Liu, Ke Shu, Palakorn Achananuparp, Ee-Peng Lim, Steven C. H. Hoi

IEEE Trans. Multim., 2022

Application-Oriented Workload Generation for Transactional Database Performance Evaluation.

Luyi Qu, Yuming Li, Rong Zhang, Ting Chen, Ke Shu, Weining Qian, Aoying Zhou

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

2020

Face Anti-Spoofing Based on Dynamic Color Texture Analysis Using Local Directional Number Pattern.

Junwei Zhou, Ke Shu, Peng Liu, Jianwen Xiang, Shengwu Xiong

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Domain Adaptation Based Person-Specific Face Anti-spoofing Using Color Texture Features.

Junwei Zhou, Ke Shu, Dongdong Zhao, Zhe Xia

Proceedings of the ICMLT 2020: 5th International Conference on Machine Learning Technologies, 2020

Dependency Preserved Raft for Transactions.

Zihao Zhang, Huiqi Hu, Yang Yu, Weining Qian, Ke Shu

Proceedings of the Database Systems for Advanced Applications, 2020

Quantitative Contention Generation for Performance Evaluation on OLTP Databases.

Chunxi Zhang, Rong Zhang, Weining Qian, Ke Shu, Aoying Zhou

Proceedings of the Web and Big Data - 4th International Joint Conference, 2020

Evaluating Fault Tolerance of Distributed Stream Processing Systems.

Xiaotong Wang, Cheng Jiang, Junhua Fang, Ke Shu, Rong Zhang, Weining Qian, Aoying Zhou

Proceedings of the Web and Big Data - 4th International Joint Conference, 2020