师资队伍
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史学文 讲师
基本资料
性别:男
学位:工学博士
职称:讲师
邮箱:polarlion@qq.com;https://polarlion.github.io/
研究方向
机器翻译、文本挖掘
教育背景

2009.09-2013.06:湖南大学,信息安全,本科学历,工学学士学位

2013.09-2023.03:北京理工大学,计算机科学与技术,硕博连读,工学博士学位


个人简历

工作经历:

2023.07-至今:东北财经大学,讲师

 

主要学术成果:

近年来在计算机科学、人工智能等领域的在国内外会议、期刊上发表论文十余篇,


主要学术成果如下:

Yi-Kun Tang, Heyan Huang, Xuewen Shi, Xian-Ling Mao. Bridging insight gaps in topic dependency discovery with a knowledge-inspired topic model. Information Processing and Management. 2025  (中科院1区,CCF B类期刊)

Yi-Kun Tang, Heyan Huang, Xuewen Shi, Xian-Ling Mao. Beyond Labels and Topics: Discovering Causal Relationships in Neural Topic Modeling. The Web Conference (WWW). 2024(CCF A类会议)

Peiqi Guo, Ping Jian, Xuewen Shi. Modeling Logical Content and Pattern Information for Contextual Reasoning. IJCNN 2024(CCF C类会议)

Heyan Huang, Yi-Kun Tang, Xuewen Shi, Xian-Ling Mao. Dependency-Aware Neural Topic Model Information Processing and Management. 2024 (中科院1区,CCF B类期刊)

Xuewen Shi, Heyan Huang, Ping Jian, Yi-Kun Tang: Approximating to the Real Translation Quality for Neural Machine Translation via Causal Motivated Methods. ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), 2023 (CCF C类期刊)

Yi-Kun Tang, Heyan Huang, Xuewen Shi, Xian-Ling Mao: Neural Variational Gaussian Mixture Topic Model. ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), 2023 (CCF C类期刊)

Xuewen Shi, Heyan Huang, Ping Jian, Yi-Kun Tang: Improving neural machine translation with sentence alignment learning. Neurocomputing (2021) (中科院2区,CCF C类期刊)

Xuewen Shi, Heyan Huang, Ping Jian, Yi-Kun Tang: Removing Input Confounder for Translation Quality Estimation via a Causal Motivated Method. APWeb-WAIM 2021 (CCF C类会议)

Xuewen Shi, Heyan Huang, Ping Jian, Yi-Kun Tang: Reducing Length Bias in Scoring Neural Machine Translation via a Causal Inference Method. CCL 2021

Xuewen Shi, Heyan Huang, Ping Jian, Yi-Kun Tang: The method for reducing gender bias of pronouns in Uyghur to Chinese neural machine translation. Journal of Xiamen University (Natural Science), 2021

Xuewen Shi, Heyan Huang, Ping Jian, Yi-Kun Tang: Case-Sensitive Neural Machine Translation. PAKDD 2020 (CCF C类会议)

Chao Su, Heyan Huang, Shumin Shi, Ping Jian, Xuewen Shi: Neural machine translation with Gumbel Tree-LSTM based encoder. Journal of Visual Communication and Image Representation, 2020 (CCF C类期刊)

Xuewen Shi, Heyan Huang, Wenguan Wang, Ping Jian, Yi-Kun Tang: Improving Neural Machine Translation by Achieving Knowledge Transfer with Sentence Alignment Learning. CoNLL 2019 (CCF C类会议)

Xuewen Shi, Heyan Huang, Shuyang Zhao, Ping Jian, Yi-Kun Tang: Tag Recommendation by Word-Level Tag Sequence Modeling. DASFAA 2019 (CCF B类会议)

Yi-Kun Tang, Heyan Huang, Xuewen Shi, Xianling Mao: Picture News Collection: A Dataset for Automatic Picture News Thumbnail Selection. WISE 2019: (CCF C类会议)

Xuewen Shi, Heyan Huang, Ping Jian, Yi-Kun Tang: Training Set Similarity Based Parameter Selection for Statistical Machine Translation. APWeb-WAIM 2018 (CCF C类会议)

Xuewen Shi, Heyan Huang, Ping Jian, Yuhang Guo, Xiaochi Wei, Yi-Kun Tang: Neural Chinese Word Segmentation as Sequence to Sequence Translation. SMP 2017