Prof. Jiye Liang
School of Computer and Information Technology
Shanxi University, China
Email: [email protected]
Qualifications
Ph.D., University of Manitoba, Canada
M.Sc., University of Petroleum, China
Publications (Selected)
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Wei, W., Wu, J. G., Guo, X. Y., et al. (2025). Self-Constrained Clustering Ensemble. IEEE Transactions on Pattern Analysis and Machine Intelligence, 47(12), 11946–11960.
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Yan, Z. C., Wang, J. P., Chen, J. Y., et al. (2025). Atomic Fact Decomposition Helps Attributed Question Answering. IEEE Transactions on Knowledge and Data Engineering, 37(12), 6959–6972.
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Wang, F., Wang, Z. Y., & Liang, J. Y. (2025). Feature selection algorithm for dynamically evolving feature spaces. Neurocomputing, 658, Article 131747.
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Xu, Z. K., Liang, J. Y., Wei, Z. P., et al. (2026). Clinical knowledge enhanced medical image classification. Pattern Recognition, 172, Article 112414.
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Guo, Z. H., Song, P., Feng, C. J., et al. (2025). Causal Inference for Multi-Criteria Rating Recommender Systems. ACM Transactions on Information Systems, 43(6), Article 158.
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Zhang, Y. J., Li, L., Wei, W., et al. (2026). Pseudo-distribution elite critics: Enhancing accuracy in reinforcement learning value estimation. Neural Networks, 193, Article 108018.
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Yang, S. J., Cao, F. Y., Yu, K., & Liang, J. Y. (2025). Chain graphs structure learning given local background knowledge. International Journal of Approximate Reasoning, 186, Article 109524.
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Ning, X. C., Wang, Y. J., Yu, K., et al. (2025). Summary Graph Induced Invariant Learning for Generalizable Graph Learning. IEEE Transactions on Knowledge and Data Engineering, 37(6), 3739–3752.
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Du, Z. J., Liang, J. Y., Yao, K. X., & Cao, F. L. (2025). TSI-GCN: Translation and scaling invariant GCN for 3D point cloud analysis. Pattern Recognition Letters, 195, 30–36.
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Guan, L., Li, D. S., Chen, Y. L., et al. (2025). PipeOptim: Ensuring Effective 1F1B Schedule With Optimizer-Dependent Weight Prediction. IEEE Transactions on Knowledge and Data Engineering, 37(5), 2831–2845.
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Chen, Q. Q., Cao, F. Y., Xing, Y., & Liang, J. Y. (2025). An efficient Bayes error rate estimation method. Machine Learning, 114(6), Article 134.
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Wang, D., Wei, W., Li, L., et al. (2025). Rethinking exploration-exploitation trade-off in reinforcement learning via cognitive consistency. Neural Networks, 187, Article 107342.
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Cao, F. Y., Jing, X. C., Yu, K., & Liang, J. Y. (2025). FWCEC: An Enhanced Feature Weighting Method via Causal Effect for Clustering. IEEE Transactions on Knowledge and Data Engineering, 37(2), 685–697.
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Du, H. Y., Wang, W. J., Zhang, W. H., et al. (2025). Learning robust MLPs on graphs via cross-layer distillation from a causal perspective. Pattern Recognition, 162, Article 111367.
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Qiang, P. P., Tan, H. Y., Li, X. L., et al. (2025). Enhancing few-shot KB-VQA with panoramic image captions guided by Large Language Models. Neurocomputing, 623, Article 129373.
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Yu, K., Rong, C., Wang, H., et al. (2025). Federated local causal structure learning. Science China Information Sciences, 68(3), Article 132105.
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Liang, Z. M., Bai, L., Fan, J. Y., et al. (2025). Contrastive Learning With Enhancing Detailed Information for Pre-Training Vision Transformer. IEEE Transactions on Circuits and Systems for Video Technology, 35(1), 219–231.
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Guo, Z. H., Song, P., Feng, C. J., et al. (2025). Causal intervention for knowledge graph denoising in recommender systems. International Journal of Machine Learning and Cybernetics, 16(11), 8551–8567.
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Fan, Y., Zhang, H., Li, R., et al. (2025). Weakly-supervised explainable question answering via question aware contrastive learning and adaptive gate mechanism. Information Sciences, 697, Article 121763.
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Cao, F. Y., Wang, Y. X., Yu, K., & Liang, J. Y. (2024). Causal Discovery From Unknown Interventional Datasets Over Overlapping Variable Sets. IEEE Transactions on Knowledge and Data Engineering, 36(12), 7725–7742.
Profile Details
https://cs.sxu.edu.cn/faculty/professor/1445/index.htm
https://www.researchgate.net/scientific-contributions/Jiye-Liang-13940574
https://scholar.google.com/citations?user=ElmbPa4AAAAJ&hl=en
WOS ResearcherID: G-6810-2011