Xiangyu Wang

According to our database, Xiangyu Wang authored at least 28 papers between 2020 and 2025.

Collaborative distances:

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

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

Reservoir-enhanced Segment Anything Model for Subsurface Diagnosis.

Xiren Zhou, Shikang Liu, Xinyu Yan, Yizhan Fan, Xiangyu Wang, Yu Kang, Jiancheng Lv, Huanhuan Chen

CoRR, April, 2025

Event extraction based on self-data augmentation with large language models.

Lishan Yang, Xi Fan, Xiangyu Wang, Xin Wang, Qiuju Chen

Memetic Comput., March, 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

MTMT: Consolidating Multiple Thinking Modes to Form a Thought Tree for Strengthening LLM.

Changcheng Li, Xiangyu Wang, Qiuju Chen, Xiren Zhou, Huanhuan Chen

CoRR, 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

Multi-Model Consistency for LLMs' Evaluation.

Qinrui Zhu, Derui Lyu, Xi Fan, Xiangyu Wang, Qiang Tu, Yibin Zhan, Huanhuan Chen

Proceedings of the International Joint Conference on Neural Networks, 2024

Constructing a Knowledge-Guided Mental Health Chatbot with LLMs.

Xi Fan, Lishan Yang, Xiangyu Wang, Derui Lyu, Huanhuan Chen

Proceedings of the Asian Conference on Machine Learning, 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

Feature Selection in the Data Stream Based on Incremental Markov Boundary Learning.

Xingyu Wu, Bingbing Jiang, Xiangyu Wang, Taiyu Ban, Huanhuan Chen

IEEE Trans. Neural Networks Learn. Syst., October, 2023

Temporal knowledge graph embedding via sparse transfer matrix.

Xin Wang, Shengfei Lyu, Xiangyu Wang, Xingyu Wu, Huanhuan Chen

Inf. Sci., April, 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

Knowledge Extraction From National Standards for Natural Resources: A Method for Multi-Domain Texts.

Taiyu Ban, Xiangyu Wang, Xin Wang, Jiarun Zhu, Lvzhou Chen, Yizhan Fan

J. Database Manag., 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

Link Prediction in Continuous-Time Dynamic Heterogeneous Graphs with Causality of Event Types.

Jiarun Zhu, Xingyu Wu, Muhammad Usman, Xiangyu Wang, Huanhuan Chen

Int. J. Crowd Sci., 2022

2021

Unsupervised Change Detection in Satellite Images With Generative Adversarial Network.

Caijun Ren, Xiangyu Wang, Jian Gao, Xiren Zhou, Huanhuan Chen

IEEE Trans. Geosci. Remote. Sens., 2021

2020

Unsupervised Change Detection in Satellite Images with Generative Adversarial Network.

Caijun Ren, Xiangyu Wang, Jian Gao, Huanhuan Chen

CoRR, 2020