Lyuzhou Chen

According to our database, Lyuzhou Chen authored at least 22 papers between 2022 and 2025.

Collaborative distances:

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

2025

Mitigating Prior Errors in Causal Structure Learning: A Resilient Approach via Bayesian Networks.

Lyuzhou Chen, Taiyu Ban, Xiangyu Wang, Derui Lyu, Huanhuan Chen

IEEE Trans. Pattern Anal. Mach. Intell., December, 2025

Integrating Large Language Model for Improved Causal Discovery.

Taiyu Ban, Lyuzhou Chen, Derui Lyu, Xiangyu Wang, Qinrui Zhu, Qiang Tu, Huanhuan Chen

IEEE Trans. Artif. Intell., November, 2025

Improving knowledge graphs via data-based causal structures.

Derui Lyu, Xiangyu Wang, Lyuzhou Chen, Taiyu Ban, Kaiming Xiao, Lihua Liu

Knowl. Inf. Syst., August, 2025

Harnessing the Power of Knowledge Graphs to Improve Causal Discovery.

Taiyu Ban, Xiangyu Wang, Lyuzhou Chen, Derui Lyu, Xi Fan, Huanhuan Chen

IEEE Trans. Emerg. Top. Comput. Intell., June, 2025

Large-Scale Hierarchical Causal Discovery via Weak Prior Knowledge.

Xiangyu Wang, Taiyu Ban, Lyuzhou Chen, Derui Lyu, Qinrui Zhu, Huanhuan Chen

IEEE Trans. Knowl. Data Eng., May, 2025

LLM-Driven Causal Discovery via Harmonized Prior.

Taiyu Ban, Lyuzhou Chen, Derui Lyu, Xiangyu Wang, Qinrui Zhu, Huanhuan Chen

IEEE Trans. Knowl. Data Eng., April, 2025

Clinical causal analysis via iterative active structure learning.

Zhenchao Tao, Meiyan Chi, Lyuzhou Chen, Taiyu Ban, Qiang Tu, Fei Gao, Wei Wang

Memetic Comput., March, 2025

Active differentiable structure learning for clinical causal discovery.

Zhenchao Tao, Yanze Gao, Yijia Sun, Qiang Tu, Fei Gao, Lyuzhou Chen, Wei Wang, Huanhuan Chen

Knowl. Based Syst., 2025

Expanding the Category of Classifiers with LLM Supervision.

Derui Lyu, Xiangyu Wang, Taiyu Ban, Lyuzhou Chen, Xiren Zhou, Huanhuan Chen

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Continuous Structure Constraint Integration for Robust Causal Discovery.

Lyuzhou Chen, Taiyu Ban, Derui Lyu, Yijia Sun, Kangtao Hu, Xiangyu Wang, Huanhuan Chen

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

Knowledge Verification From Data.

Xiangyu Wang, Taiyu Ban, Lyuzhou Chen, Xingyu Wu, Derui Lyu, Huanhuan Chen

IEEE Trans. Neural Networks Learn. Syst., March, 2024

Research Ideas Discovery via Hierarchical Negative Correlation.

Lyuzhou Chen, Xiangyu Wang, Taiyu Ban, Muhammad Usman, Shikang Liu, Derui Lyu, Huanhuan Chen

IEEE Trans. Neural Networks Learn. Syst., February, 2024

Quality Evaluation of Triples in Knowledge Graph by Incorporating Internal With External Consistency.

Taiyu Ban, Xiangyu Wang, Lyuzhou Chen, Xingyu Wu, Qiuju Chen, Huanhuan Chen

IEEE Trans. Neural Networks Learn. Syst., February, 2024

Decentralised Knowledge Graph Evolution via Blockchain.

Xiangyu Wang, Taiyu Ban, Lyuzhou Chen, Muhammad Usman, Yifeng Guan, Derui Lyu, Jian Cheng, Huanhuan Chen, Cyril Leung, Chunyan Miao

IEEE Trans. Serv. Comput., 2024

Leveraging Multisource Label Learning for Underground Object Recognition.

Derui Lyu, Lyuzhou Chen, Taiyu Ban, Xiangyu Wang, Qinrui Zhu, Xiren Zhou, Huanhuan Chen

IEEE Trans. Geosci. Remote. Sens., 2024

Differentiable Structure Learning with Partial Orders.

Taiyu Ban, Lyuzhou Chen, Xiangyu Wang, Xin Wang, Derui Lyu, Huanhuan Chen

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

A distribution-based representation of Knowledge Quality.

Xiangyu Wang, Taiyu Ban, Lyuzhou Chen, Muhammad Usman, Tianhao Wu, Qiuju Chen, Huanhuan Chen

Knowl. Based Syst., December, 2023

Accurate Label Refinement From Multiannotator of Remote Sensing Data.

Xiangyu Wang, Lyuzhou Chen, Taiyu Ban, Derui Lyu, Yifeng Guan, Xingyu Wu, Xiren Zhou, Huanhuan Chen

IEEE Trans. Geosci. Remote. Sens., 2023

Causal Structure Learning Supervised by Large Language Model.

Taiyu Ban, Lyuzhou Chen, Derui Lyu, Xiangyu Wang, Huanhuan Chen

CoRR, 2023

From Query Tools to Causal Architects: Harnessing Large Language Models for Advanced Causal Discovery from Data.

Taiyu Ban, Lyuzhou Chen, Xiangyu Wang, Huanhuan Chen

CoRR, 2023

Mitigating Prior Errors in Causal Structure Learning: Towards LLM driven Prior Knowledge.

Lyuzhou Chen, Taiyu Ban, Xiangyu Wang, Derui Lyu, Huanhuan Chen

CoRR, 2023

2022

Dynamic Link Prediction for Discovery of New Impactful COVID-19 Research Approaches.

Xiangyu Wang, Yuan Li, Taiyu Ban, Jiarun Zhu, Lyuzhou Chen, Muhammad Usman, Xin Wang, Huanhuan Chen, Xiaomei Chen, Cyril Leung, Chunyan Miao

IEEE J. Biomed. Health Informatics, 2022