[1] Junbiao Cui, Qin Yue, Jianqing Liang, Jiye Liang. Human cognition-inspired hierarchical fuzzy learning machine[C]. International Conference on Machine Learning (ICML), 2025: 11620-11648. (CCF A 类会议)

[2] Junbiao Cui, Jianqing Liang, Qin Yue, Jiye Liang. A general representation learning framework with generalization performance guarantees[C]. International Conference on Machine Learning (ICML), 2023: 6522-6544. (CCF A 类会议)

[3] Junbiao Cui, Jiye Liang. Fuzzy learning machine[C]. Advances in Neural Information Processing Systems (NeurIPS), 2022: 36693-36705. (CCF A 类会议)

[4] Yuxin Fan, Junbiao Cui, Jiye Liang. Learning textual prompts for open-world semi-supervised learning[C]. The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025: 14756-14765. (CCF A 类会议)

[5] Qin Yue, Junbiao Cui, Jianqing Liang, Liang Bai. Class semantic attribute perception guided zero-shot learning[C]. AAAI Conference on Artificial Intelligence (AAAI), 2025: 22281-22289. (CCF A 类会议)

[6] Jiye Liang, Yixiao Li, Junbiao Cui. Label noise correction via fuzzy learning machine[C]. AAAI Conference on Artificial Intelligence (AAAI), 2025: 18676-18683. (CCF A 类会议)

[7] Qin Yue, Jiye Liang, Junbiao Cui, Liang Bai. Dual bidirectional graph convolutional networks for zero-shot node classification[C]. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2022: 2408-2417. (CCF A类会议)

[8] Wei Wei, Qin Yue, Kai Feng, Junbiao Cui, Jiye Liang. Unsupervised dimensionality reduction based on fusing multiple clustering results[J]. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023, 35(3): 3211-3223. (CCF A 类期刊)

[9] Yuxin Fan, Junbiao Cui, Jiye Liang, Jianqing Liang. Open-world semi-supervised learning with class semantic correlations[C]. International Joint Conference on Artificial Intelligence (IJCAI), 2025: 5092-5100. (CCF B 类会议)

[10] Zhiqiang Li, Jie Wang, Jianqing Liang, Junbiao Cui, Xingwang Zhao, Jiye Liang. Uncertainty-guided graph contrastive learning from a unified perspective[C]. International Joint Conference on Artificial Intelligence (IJCAI), 2025: 5653-5661. (CCF B 类会议)

[11] Kaixuan Yao, Mingx Zhang, Jiao Zhao, Junbiao Cui, Jiye Liang. Cross-channel graph attention mechanism for deep convolutional neural networks. European Conference on Artificial Intelligence (ECAI), 2025, Accepted. (CCF B 类会议)

[12] Jiye Liang, Junbiao Cui, Jie Wang, Wei Wei. Graph-based semi-supervised learning via improving the quality of the graph dynamically[J]. Machine Learning, 2021, 110: 1345-1388. (CCF B类期刊)

[13] Qin Yue, Junbiao Cui, Liang Bai, Jianqing Liang, Jiye Liang. A zero-shot learning boosting framework via concept-constrained clustering[J]. Pattern Recognition, 2024, 145: 109937. (CCF B类期刊)

[14] Jie Wang, Jianqing Liang, Junbiao Cui, Jiye Liang. Semi-supervised learning with mixed-order graph convolutional networks[J]. Information Sciences, 2021, 573: 171-181. (CCF B类期刊)

[15] Wei Wei, Junbiao Cui, Jiye Liang, Junhong Wang. Fuzzy rough approximations for set-valued data[J]. Information Sciences, 2016, 360: 181-201. (CCF B类期刊)

[16] Wei Wei, Xiaoying Wu, Jiye Liang, Junbiao Cui, Yijun Sun. Discernibility matrix based incremental attribute reduction for dynamic data[J]. Knowledge-Based Systems, 2018, 140: 142-157. (CCF C类期刊)

[17] Xincheng Zhong, Junbiao Cui, Zhuangwei Ji. Energy-based jamming pattern open set recognition via spiking wavelet transformer[J]. PLoS One, 2025, 20(6): e0325381

[18] Xincheng Zhong, Junbiao Cui. Positive-negative prototypes fusion framework for open set recognition[J]. Scientific Reports, 2025, 15(1): 23815

[1] 国家自然科学基金专项项目，概念认知启发的开放世界学习(62541608)， 2026-01至2026-12，主持

[2] 山西省基础研究计划青年项目，类别信息引导的开放世界学(202503021212096)，2025-12至2028.12，主持

[3] 科技创新2030—“新一代人工智能”重大项目，认知计算基础理论与方法研究 (No.2020AAA0106100)，2020-11至2024-10，参与

[4] 国家自然科学基金（联合基金）重点项目，网络大数据分析挖掘的理论与方法 (No.U21A20473)，2022-01至2025-12，参与

[5] 国家自然科学基金面上项目，基于多粒度的半监督学习方法(No.61876103)，2019-01至2022-12，参与