
姓名 吉亚图 职称 讲师
所属学科:计算机科学与技术
电子邮箱:MLjyt@imut.edu.cn
联系电话:0471-3603464
一、基本情况
姓名 吉亚图,性别 男,出生年月 1990年3月,民族 蒙古族,籍贯 内蒙古乌兰察布,学位 博士,职称 讲师,硕士生导师。现就职于内蒙古工业大学计算机应用技术学科。
二、招生信息
【1】招生专业:0812-计算机科学与技术,081203-计算机应用技术,085211-计算机技术
【2】研究方向:人工智能,机器学习,自然语言处理,图像处理,语音信号处理
【3】研究生培养情况:无
三、教育背景
2017年.9月-2020年.12月,内蒙古大学计算机学院(系)计算机应用技术专业,获得博士学位
四、学术兼职、人才工程或专家称谓
【1】中国计算机学会会员
【2】期刊会议审稿人:TALLIP, NLPCC, ICANN, PRICAI
五、发表论文
【1】Yatu Ji, Lei Shi, Yila Su, Qing-dao-er-ji Ren, Nier Wu, Hongbin Wang. A Strategy for Referential Problem in Low-Resource Neural Machine Translation. International Conference of Artificial Neural Networks and Machine Learning, (ICANN2021). (CCF-C类)
【2】Yatu Ji, Hongxu Hou, Junjie Chen, Nier Wu. Adversarial Training for Unknown Word Problems in Neural Machine Translation, ACM Transactions on Asian and Low-Resource Language Information Processing, 2020 (1): 17-29. (CCF-C类, SCI-3区)
【3】Yatu Ji, Hongxu Hou, Junjie Chen, Nier Wu. Improving Mongolian-Chinese Neural Machine Translation with Morphological Noise, Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics-SRW (ACL2019), 123-129. (CCF-A类)
【4】Yatu Ji, Hongxu Hou, Junjie Chen, Nier Wu. Training with Additional Semantic Constraints for Enhancing Neural Machine Translation, The Pacific Rim International Conferences on Artificial Intelligence (PRICAI2019), 300-313. (CCF-C类)
【5】Yatu Ji, Hongxu Hou, Nier Wu, Junjie Chen. Exploring the Advantages of Corpus in Neural Machine Translation of Agglutinative Language, Artificial Neural Networks and Machine Learning (ICANN2019), 326-336. (CCF-C类)
【6】Yatu Ji, Hongxu Hou, Junjie Chen, Nier Wu. Noise-Based Adversarial Training for Enhancing Agglutinative Neural Machine Translation, The Pacific Rim International Conferences on Artificial Intelligence (PRICAI2019), 392-396. (CCF-C类)
【7】Yatu Ji, Hongxu Hou, Ying Lei, Zhong Ren. An optimized regularization method to enhance low-resource MT, International Conference of Parallel and Distributed Computing, Applications and Technologies (PDCAT2018), 285-295 (EI)
【8】Nier Wu, Hongxu Hou, Yatu Ji, Wei Zheng. Autoregressive Pre-training Model-assisted Low-resource Neural Machine Translation, The Pacific Rim International Conferences on Artificial Intelligence (PRICAI2021). (CCF-C类)
【9】Nier Wu, Hongxu Hou, Yatu Ji, Wei Zheng. Low-resource Neural Machine Translation Combined with Semantic Aware Pre-training Method, The Pacific Rim International Conferences on Artificial Intelligence (PRICAI2021). (CCF-C类)
【10】Junjie Chen, Hongxu Hou, Yatu Ji, Jing Gao. Graph Convolutional Networks with Structural Attention Model for Aspect Based Sentiment Analysis, International Joint Conference on Neural Networks (IJCNN2019), 1–7. (CCF-C类)
【11】Junjie Chen, Hongxu Hou, Yatu Ji, Jing Gao, Tiangang bai. Graph-based Attention Networks for Aspect Level Sentiment Analysis, International Conference on Tools with Artificial Intelligence (ICTAI2019), 1188–1194. (CCF-C类)
【12】Junjie Chen, Hongxu Hou, Yatu Ji, Jing Gao, Tiangang bai. GCNDA: Graph Convolutional Networks with Dual Attention Mechanisms for Aspect Based Sentiment Analysis, International Conference on Neural Information Processing of the Asia-Pacific Neural Network Societ, (ICONIP2019). 189–197, (CCF-C类)
【13】Junjie Chen, Hongxu Hou, Jing Gao, Yatu Ji, Tiangang bai. RGCN: Recurrent Graph Convolutional Networks for Target-dependent Sentiment Analysis, International Conference on Knowledge Science, Engineering and Management (KSEM2019), 667–675. (CCF-C类)
【14】Tiangang Bai, Hongxu Hou, Yatu Ji. Sub-word Embedding Auxiliary Encoding in Mongolian-Chinese Neural Machine Translation. ACM International Conference Proceeding Series, 292–296. (EI)
【15】任众,侯宏旭,吉亚图等. 字粒度切分在蒙汉神经机器翻译中的应用,中文信息学报,2019 33(01):85-92(CSCD)
【16】武子玉,侯宏旭,白天罡,吉亚图等. 基于CSGAN的多模型融合蒙汉神经及其翻译研究,江西师范大学学报,2019(CSCD)
六、出版专著或教材:
无
七、科研创新:
【1】吉亚图, 苏依拉.《基于神经网络的蒙古语语义分析软件V1.0》, 2017(软件著作权)
【2】侯宏旭,吉亚图,飞龙等.《蒙汉变分翻译系统》,2019(软件著作权)
八、科研项目(近5年作为项目负责人的科研项目)
【1】研究生科研创新能力提升重点项目,基于注意力机制的神经机器翻译的研究,2018
【2】内蒙古工业大学人才引进科研项目,蒙古文机器翻译中数据稀疏问题的研究,2021
九、获奖情况
【1】2021年6月,内蒙古大学优秀博士论文奖
【2】2019年9月,Springer Best Student Paper Award
【3】2019年6月,第十五届全国机器翻译评测(蒙汉)第三名,团队Leader
【4】2018年6月,第十四届全国机器翻译评测(蒙汉)第三名,团队Leader
十、其他