[1] Ke Zunwang, Sheng Jiabao, Li Zhe, Wushour Silamu, et al. Knowledge-Guided Sentiment Analysis Via Learning From Natural Language Explanations[J]. IEEE Access, 2021, 9: 3570-3578. (SCI收录)
[2] Ke Zunwang, Li Zhe, Zhou Chenzhi, Wushour Silamu, et al. Rumor Detection on Social Media via Fused Semantic Information and a Propagation Heterogeneous Graph[J]. Symmetry, 2020, 12(11): 1806. (SCI收录)
[3] Chen Siqi, Pei Yijie, Ke Zunwang*, Wushour Silamu. Low-Resource Named Entity Recognition via the Pre-Training Model[J]. Symmetry, 2021, 13(5): 786. (SCI收录)
[4] Li Zhe, Maimaiti M, Sheng Jiabao, Ke Zunwang, Wushour Silamu, et al. An Empirical Study on Deep Neural Network Models for Chinese Dialogue Generation[J]. Symmetry, 2020, 12(11): 1756. (SCI收录)
[5] 李瑜泽, 栾馨, 柯尊旺*, 等. 知识感知的预训练语言模型综述[J]. 计算机工程, 2021, 47(9), 18-33.
[6] 任泽裕,王振超,柯尊旺*,李哲,吾守尔·斯拉木. 多模态数据融合综述[J]. 计算机工程与应用, 2021, 57(18): 49-64.
[7] Pei Yijie, Chen Siqi, Ke Zunwang*, Wushour Silamu, et al. AB-LaBSE: Uyghur Sentiment Analysis via the Pre-Training Model with BiLSTM[J]. Applied Sciences, 2022, 12(3): 1182.
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