Xiaoze Liu

According to our database, Xiaoze Liu authored at least 17 papers between 2019 and 2024.

Collaborative distances:

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

2024

Knowledge Graphs Meet Multi-Modal Learning: A Comprehensive Survey.

Zhuo Chen, Yichi Zhang, Yin Fang, Yuxia Geng, Lingbing Guo, Xiang Chen, Qian Li, Wen Zhang, Jiaoyan Chen, Yushan Zhu, Jiaqi Li, Xiaoze Liu, Jeff Z. Pan, Ningyu Zhang, Huajun Chen

CoRR, 2024

2023

CollaborEM: A Self-Supervised Entity Matching Framework Using Multi-Features Collaboration.

Congcong Ge, Pengfei Wang, Lu Chen, Xiaoze Liu, Baihua Zheng, Yunjun Gao

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

Real-time Workload Pattern Analysis for Large-scale Cloud Databases.

Jiaqi Wang, Tianyi Li, Anni Wang, Xiaoze Liu, Lu Chen, Jie Chen, Jianye Liu, Junyang Wu, Feifei Li, Yunjun Gao

Proc. VLDB Endow., 2023

Simulation of big data mixed attribute feature detection for power system intelligent operation and maintenance based on improved random forest algorithm.

Ze Li, Xiaoze Liu, Lin Ji, Guanglong He, Liang Sun

J. Intell. Fuzzy Syst., 2023

Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-Specificity.

Cunxiang Wang, Xiaoze Liu, Yuanhao Yue, Xiangru Tang, Tianhang Zhang, Jiayang Cheng, Yunzhi Yao, Wenyang Gao, Xuming Hu, Zehan Qi, Yidong Wang, Linyi Yang, Jindong Wang, Xing Xie, Zheng Zhang, Yue Zhang

CoRR, 2023

Universal Multi-modal Entity Alignment via Iteratively Fusing Modality Similarity Paths.

Bolin Zhu, Xiaoze Liu, Xin Mao, Zhuo Chen, Lingbing Guo, Tao Gui, Qi Zhang

CoRR, 2023

MultiEM: Efficient and Effective Unsupervised Multi-Table Entity Matching.

Xiaocan Zeng, Pengfei Wang, Yuren Mao, Lu Chen, Xiaoze Liu, Yunjun Gao

CoRR, 2023

Quiver: Supporting GPUs for Low-Latency, High-Throughput GNN Serving with Workload Awareness.

Zeyuan Tan, Xiulong Yuan, Congjie He, Man-Kit Sit, Guo Li, Xiaoze Liu, Baole Ai, Kai Zeng, Peter R. Pietzuch, Luo Mai

CoRR, 2023

Unsupervised Entity Alignment for Temporal Knowledge Graphs.

Xiaoze Liu, Junyang Wu, Tianyi Li, Lu Chen, Yunjun Gao

Proceedings of the ACM Web Conference 2023, 2023

2022

ClusterEA: Scalable Entity Alignment with Stochastic Training and Normalized Mini-batch Similarities.

Yunjun Gao, Xiaoze Liu, Junyang Wu, Tianyi Li, Pengfei Wang, Lu Chen

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

PinSQL: Pinpoint Root Cause SQLs to Resolve Performance Issues in Cloud Databases.

Xiaoze Liu, Zheng Yin, Chao Zhao, Congcong Ge, Lu Chen, Yunjun Gao, Dimeng Li, Ziting Wang, Gaozhong Liang, Jian Tan, Feifei Li

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

2021

LargeEA: Aligning Entities for Large-scale Knowledge Graphs.

Congcong Ge, Xiaoze Liu, Lu Chen, Baihua Zheng, Yunjun Gao

Proc. VLDB Endow., 2021

Multi-context embedding based personalized place semantics recognition.

Ling Chen, Mingrui Han, Hongyu Shi, Xiaoze Liu

Inf. Process. Manag., 2021

CollaborER: A Self-supervised Entity Resolution Framework Using Multi-features Collaboration.

Congcong Ge, Pengfei Wang, Lu Chen, Xiaoze Liu, Baihua Zheng, Yunjun Gao

CoRR, 2021

Deep learning based multimodal complex human activity recognition using wearable devices.

Ling Chen, Xiaoze Liu, Liangying Peng, Menghan Wu

Appl. Intell., 2021

Make It Easy: An Effective End-to-End Entity Alignment Framework.

Congcong Ge, Xiaoze Liu, Lu Chen, Baihua Zheng, Yunjun Gao

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

2019

Deep Multi-Task Learning Based Urban Air Quality Index Modelling.

Ling Chen, Yifang Ding, Dandan Lyu, Xiaoze Liu, Hanyu Long

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2019