Large-Scale Hierarchical Causal Discovery via Weak Prior Knowledge.
IEEE Trans. Knowl. Data Eng., May, 2025
LLM-Driven Causal Discovery via Harmonized Prior.
IEEE Trans. Knowl. Data Eng., April, 2025
Knowledge Verification From Data.
IEEE Trans. Neural Networks Learn. Syst., March, 2024
Research Ideas Discovery via Hierarchical Negative Correlation.
IEEE Trans. Neural Networks Learn. Syst., February, 2024
Decentralised Knowledge Graph Evolution via Blockchain.
IEEE Trans. Serv. Comput., 2024
Leveraging Multisource Label Learning for Underground Object Recognition.
IEEE Trans. Geosci. Remote. Sens., 2024
Differentiable Structure Learning with Partial Orders.
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.
Proceedings of the International Joint Conference on Neural Networks, 2024
Constructing a Knowledge-Guided Mental Health Chatbot with LLMs.
Proceedings of the Asian Conference on Machine Learning, 2024
Accurate Label Refinement From Multiannotator of Remote Sensing Data.
IEEE Trans. Geosci. Remote. Sens., 2023
Causal Structure Learning Supervised by Large Language Model.
CoRR, 2023
Mitigating Prior Errors in Causal Structure Learning: Towards LLM driven Prior Knowledge.
CoRR, 2023