Xiaoze Liu

According to our database, Xiaoze Liu authored at least 30 papers between 2019 and 2025.

Collaborative distances:

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

2025

SUV: Scalable Large Language Model Copyright Compliance with Regularized Selective Unlearning.

Tianyang Xu, Xiaoze Liu, Feijie Wu, Xiaoqian Wang, Jing Gao

CoRR, March, 2025

A hybrid estimation of distribution algorithm for agile earth observing satellite task scheduling problem.

Chunchun Ma, Panxing Huang, Xiaoze Liu, Chu-ge Wu, Rui Xu

Swarm Evol. Comput., 2025

Knowledge Graphs for Multi-modal Learning: Survey and Perspective.

Zhuo Chen, Yichi Zhang, Yin Fang, Yuxia Geng, Lingbing Guo, Jiaoyan Chen, Xiaoze Liu, Jeff Z. Pan, Ningyu Zhang, Huajun Chen, Wen Zhang

Inf. Fusion, 2025

CausalEval: Towards Better Causal Reasoning in Language Models.

Longxuan Yu, Delin Chen, Siheng Xiong, Qingyang Wu, Dawei Li, Zhikai Chen, Xiaoze Liu, Liangming Pan

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Towards Federated RLHF with Aggregated Client Preference for LLMs.

Feijie Wu, Xiaoze Liu, Haoyu Wang, Xingchen Wang, Lu Su, Jing Gao

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Distributed representations of entities in open-world knowledge graphs.

Lingbing Guo, Zhuo Chen, Jiaoyan Chen, Yichi Zhang, Zequn Sun, Zhongpu Bo, Yin Fang, Xiaoze Liu, Huajun Chen, Wen Zhang

Knowl. Based Syst., 2024

Evaluating the Factuality of Large Language Models using Large-Scale Knowledge Graphs.

Xiaoze Liu, Feijie Wu, Tianyang Xu, Zhuo Chen, Yichi Zhang, Xiaoqian Wang, Jing Gao

IEEE Data Eng. Bull., 2024

Improving Causal Reasoning in Large Language Models: A Survey.

Siheng Xiong, Delin Chen, Qingyang Wu, Longxuan Yu, Qingzhen Liu, Dawei Li, Zhikai Chen, Xiaoze Liu, Liangming Pan

CoRR, 2024

On the Client Preference of LLM Fine-tuning in Federated Learning.

Feijie Wu, Xiaoze Liu, Haoyu Wang, Xingchen Wang, Jing Gao

CoRR, 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

BehaMiner: System Behavior Mining for Audit Log Based on Graph Learning.

Xiu Ma, Xiaoze Liu, Ce Li, Ziyang Yu, Qi Zhang, Qiujian Lv, Yan Wang, Jianguo Jiang

Proceedings of the Wireless Artificial Intelligent Computing Systems and Applications, 2024

A Fault Analysis and Reasoning Method for Vehicle Information Systems Based on Knowledge Graphs.

Tu Sun, Fuping Zeng, Xiaoze Liu

Proceedings of the 24th IEEE International Conference on Software Quality, 2024

Key Remote Cooperation of Cross-regional Power Communication Network Based on Side Channel Attack and Defense Algorithm.

Yu Cui, Xinran Liu, Ze Li, He Cui, Xiaoze Liu

Proceedings of the 2024 International Conference on Power Electronics and Artificial Intelligence, 2024

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

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

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

SaySelf: Teaching LLMs to Express Confidence with Self-Reflective Rationales.

Tianyang Xu, Shujin Wu, Shizhe Diao, Xiaoze Liu, Xingyao Wang, Yangyi Chen, Jing Gao

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

SHIELD: Evaluation and Defense Strategies for Copyright Compliance in LLM Text Generation.

Xiaoze Liu, Ting Sun, Tianyang Xu, Feijie Wu, Cunxiang Wang, Xiaoqian Wang, Jing Gao

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 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

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

Cunxiang Wang, Xiaoze Liu, Yuanhao Yue, Xiangru Tang, Tianhang Zhang, Cheng Jiayang, 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

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