[1]Jiye Liang, Zijin Du, Jianqing Liang, Kaixuan Yao, Feilong Cao. Long and short-range dependency graph structure learning framework on point cloud. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023,45(12):14975 - 14989.

[2]Qingqiang Chen, Fuyuan Cao, Ying Xing, Jiye Liang. Evaluating classification model against bayes error rate. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023, 45(8): 9639-9653.

[3]Liang Bai, Jiye Liang, Yunxiao Zhao. Self-constrained spectral clustering. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023, 45(4): 5126-5138.

[4]Liang Bai, Minxue Qi, Jiye Liang. Spectral clustering with robust self-learning constraints. Artificial Intelligence, 2023, 320: 103924.

[5]Fuyuan Cao, Qingqiang Chen, Ying Xing, Jiye Liang. Efficient classification by removing bayesian confusing samples. IEEE Transactions on Knowledge and Data Engineering, 2023, 36(3): 1084 - 1098.

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

[7]Yu Xie, Zhiguo Qin, Maoguo Gong, Bin Yu, Jiye Liang. Random deep graph matching. IEEE Transactions on Knowledge and Data Engineering, 2023, 35(10): 10411-10422.

[8]Junbiao Cui, Jianqing Liang, Qin Yue, Jiye Liang*. A general representation learning framework with generalization performance guarantees, International Conference on Machine Learning.2023: 6522-6544.

[9]Wei Wei, Lijun Zhang, Lin Li, Huizhong Song, Jiye Liang. Set-membership Belief State-based Reinforcement Learning for POMDPs. International Conference on Machine Learning.2023: 36856 - 36867.

[10] Wentao Cui, Liang Bai. Contrastive learning with the feature reconstruction amplifier. Proceedings of the AAAI Conference on artificial intelligence. 2023, 37(6): 7279-7287.

[11] Shaoru Guo, Chenhao Wang, Yubo Chen, Kang Liu, Ru Li, Jun Zhao. EventOA: An event ontology alignment benchmark based on FrameNet and Wikidata. Findings of the Association for Computational Linguistics: ACL, 2023:10038–10052.

[12] Yujie Wang, Hu Zhang, Jiye Liang, Ru Li. Dynamic heterogeneous-graph reasoning with language models and knowledge representation learning for commonsense question answering. Findings of the Association for Computational Linguistics: ACL. 2023: 10038-10052.

[13] Ruili Pu, Yang Li, Suge Wang, Deyu Li, Jianxing Zheng, Jian Liao. Enhancing event causality identification with event causal label and event pair interaction graph. Findings of the Association for Computational Linguistics: ACL. 2023: 10314-10322.

[14] Yong Guan, Jiaoyan Chen, Freddy Lecue, Jeff Pan, Juanzi Li, Ru Li. Trigger-argument based explanation for event detection. Findings of the Association for Computational Linguistics: ACL, 2023: 10314-10322.

[15] 闫涛, 钱宇华, 李飞江, 闫泓任(学), 王婕婷, 梁吉业, 郑珂银, 吴鹏, 陈路, 胡治国, 乔志伟, 张江峰(学), 翟小鹏(外). 三维时频变换视角的智能微观三维形貌重建方法. 中国科学：信息科学, 2023, 53(2): 282-308.

[16] 刘郭庆(学), 钱宇华, 张亚宇(学), 王婕婷. 给定预算下基于相对熵置信区间的蒙特卡洛树搜索最优动作识别算法, 计算机学报, 2023, 1780-1794.

[17] 张江峰(学), 闫涛, 王克琪(学), 钱宇华, 吴鹏. 多景深图像聚焦信息的三维形貌重建：数据集与模型,计算机学报, 2023, 46(8): 1734-1752.

[18] 郭虎升, 丛璐(学), 高淑花(学), 王文剑. 基于在线集成的概念漂移自适应分类方法,计算机研究与发展, 2023, 60(7): 1592–1602.

[19] 杜航原, 曹振武(学), 王文剑, 白亮. 融合知识的多视图属性网络异常检测模型, 自动化学报, 2023, 49(8): 1732-1744.

[20] 白鹤翔,王浩然(学). 基于边缘特征增强的任意形状文本检测网络, 自动化学报, 2023, 49(5): 1019-1030.