基本信息

张家俊  男  研究员 博士生导师  中国科学院自动化研究所
电子邮件: jjzhang@nlpr.ia.ac.cn
通信地址: No. 95 zhongguancun east road
邮政编码: 100190

研究领域

机器翻译

自然语言处理

跨语言文本分析

招生信息

   
招生专业
081104-模式识别与智能系统
招生方向
自然语言处理,机器翻译,文本挖掘

教育背景

2006-09--2011-06   中国科学院自动化研究所   博士
2002-09--2006-06   吉林大学   本科
学历
博士研究生

学位
博士

工作经历

2019-11~现在,中国科学院自动化研究所,研究员

2015-10~现在,中国科学院大学, 岗位教授

2014-11~2019-10, 中国科学院自动化研究所, 副研究员

2011-07~2014-10,中国科学院自动化研究所, 助理研究员

工作简历
2019-11~现在, 中国科学院自动化研究所, 研究员
2014-11~2019-10,中国科学院自动化研究所, 副研究员
2013-09~2014-09,微软亚洲研究院, 访问研究员
2011-07~2014-10,中国科学院自动化研究所, 助理研究员
社会兼职
2020-10-24-今,中国中文信息学会青年工作委员会, 副主任
2018-10-26-今,中国中文信息学会机器翻译专委会, 副主任
2017-11-10-今,中国计算机学会中文信息处理专委会, 委员
2017-10-14-今,中国中文信息学会计算语言学专委会, 委员
2014-05-01-今,中国人工智能学会青年工作委员会, 常务委员
2013-07-31-今,中国中文信息学会青年工作委员会, 执委

教授课程

自然语言处理与应用
自然语言处理
自然语言理解

专利与奖励

   
奖励信息
(1) 新疆维吾尔自治区科技进步二等奖, 二等奖, 省级, 2019
(2) 中国中文信息学会“钱伟长中文信息处理科学技术奖”汉王青年创新奖, 一等奖, 其他, 2018
(3) NLPCC-2017最佳论文奖, , 其他, 2017
(4) 中国科协“青年人才托举工程”, 国家级, 2015
(5) 中国中文信息学会“钱伟长中文信息处理科学技术奖”, 一等奖, 其他, 2014
(6) NLPCC-2012最佳论文奖, 其他, 2012
(7) PACLIC-2009最佳论文奖, 其他, 2009
专利成果
[1] 宗成庆, 黄鑫, 张家俊, 周玉. 多模态机器翻译方法、装置、电子设备和存储介质. CN: CN112800785B, 2021-07-27.

[2] 周玉, 朱军楠, 张家俊, 宗成庆. 抽取生成混合型摘要生成方法. CN: CN109597886B, 2021-07-06.

[3] 张家俊, 王唯康, 李志飞, 宗成庆. 人机混合的应答方法、系统、装置. CN: CN109783704B, 2021-02-02.

[4] 王少楠, 孙静远, 张家俊, 宗成庆. 神经语义编解码分析方法及系统. CN: CN112232084A, 2021-01-15.

[5] 王少楠, 张家俊, 宗成庆. 基于多通道自编码器的多模态词汇表示方法与系统. CN: CN108536735B, 2020-12-15.

[6] 王唯康, 张家俊, 李志飞, 宗成庆. 融合规则信息的可控制性对话管理扩展方法. CN: CN108268616B, 2020-09-01.

[7] 周玉, 朱军楠, 张家俊, 宗成庆. 图文摘要生成方法. CN: CN109508400B, 2020-08-28.

[8] 张家俊, 周玉, 闫璟辉, 宗成庆, 杨里. 神经机器翻译模型训练方法、神经机器翻译方法及装置. US: CN111539229A, 2020-08-14.

[9] 向露, 刘洋, 张家俊, 周玉, 宗成庆. 篇章因果关系判断方法、系统、装置. CN: CN109918646B, 2020-08-11.

[10] 张家俊, 李浩然, 宗成庆. 融合蕴含知识的自动文摘方法及系统. CN: CN108763211B, 2020-07-31.

[11] 王少楠, 孙静远, 张家俊, 宗成庆. 基于弹性突触门的跨受试者神经解码系统、方法、装置. CN: CN111445542A, 2020-07-24.

[12] 张家俊, 赵阳, 宗成庆. 提高神经机器翻译准确度的方法、翻译方法及系统和设备. CN: CN107943795B, 2020-05-19.

[13] 王少楠, 张家俊, 宗成庆. 融合中文单词内部结构信息的句子表示的构建方法及系统. CN: CN107423284B, 2020-03-06.

[14] 王少楠, 张家俊, 宗成庆. 一种基于动态融合机制的多模态词汇表示方法. CN: CN107480196B, 2020-02-07.

[15] 张家俊, 李浩然, 宗成庆. 多语言自动文摘方法. CN: CN106874362B, 2020-01-10.

[16] 张家俊, 赵阳, 王亦宁, 宗成庆. 基于神经机器翻译系统的单词预测方法及系统. CN: CN106844352B, 2019-11-08.

[17] 张家俊, 李浩然, 周玉, 宗成庆. 基于文本-图像匹配的多模态自动文摘方法. CN: CN106997387B, 2019-08-09.

[18] 张家俊, 李浩然, 周玉, 宗成庆. 基于改进的PageRank算法的文本-音频自动文摘方法. CN: CN107015966B, 2019-07-19.

[19] 周玉, 朱军楠, 张家俊, 宗成庆. 图文摘要的评价方法. CN: CN109543512A, 2019-03-29.

[20] 张家俊, 刘洋, 宗成庆. 一种双语篇章标注方法. CN: CN106021224B, 2019-03-15.

[21] 张家俊, 周龙, 马宏远, 杜翠兰, 张翠, 赵晓航, 宗成庆. 基于深层神经网络翻译模型的解码方法. 中国: CN108647214A, 2018-10-12.

[22] 张家俊, 黄国平, 周玉, 宗成庆. 人机交互翻译模型的更新方法及更新系统. 中国: CN107066451A, 2017-08-18.

[23] 张家俊, 黄国平, 周玉, 宗成庆. 基于锚点的增长式实时双语词对齐的对齐方法及对齐系统. 中国: CN106844332A, 2017-06-13.

[24] 张家俊, 黄国平, 周玉, 宗成庆. 同时识别双语术语与词对齐的实现方法及实现系统. 中国: CN106649289A, 2017-05-10.

[25] 张家俊, 李浩然, 宗成庆. 一种汉语隐式篇章关系识别方法. 中国: CN105955956A, 2016.09.21.

[26] 宗成庆, 翟飞飞, 张家俊, 周玉. 一种基于谓词论元结构的统计机器翻译方法. 中国: CN103020045A, 2013-04-03.

[27] 宗成庆, 张家俊. 一种基于模糊树到精确树的统计机器翻译方法. 中国: CN102117270A, 2011-07-06.

出版信息

   
发表论文
[1] Lu, Jinliang, Zhang, Jiajun. Exploiting Curriculum Learning in Unsupervised Neural Machine Translation. EMNLPnull. 2021, [2] Lin, Haitao, Ma, Liqun, Zhu, Junnan, Xiang, Lu, Zhou, Yu, Zhang, Jiajun, Zong, Chengqing. CSDS: A Fine-Grained Chinese Dataset for Customer Service Dialogue Summarization. EMNLPnull. 2021, [3] Shuxian Zou, Shaonan Wang, Jiajun Zhang, Chengqing Zong. Towards Brain-to-Text Generation: Neural Decoding with Pre-trained Encoder-Decoder Models. NeurIPS-AI4Science[J]. 2021, [4] Yu Lu, Jiali Zeng, Jiajun Zhang, Shuangzhi Wu, Mu Li. Attention Calibration for Transformer in Neural Machine Translation. ACLnull. 2021, [5] Sun, Jingyuan, Wang, Shaonan, Zhang, Jiajun, Zong, Chengqing. Neural Encoding and Decoding With Distributed Sentence Representations. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS[J]. 2021, 32(2): 589-603, http://dx.doi.org/10.1109/TNNLS.2020.3027595.
[6] Xu, Yangyifan, Liu, Yijin, Meng, Fandong, Zhang, Jiajun, Xu, Jinan, Zhou, Jie. Bilingual Mutual Information Based Adaptive Training for Neural Machine Translation. ACLnull. 2021, http://arxiv.org/abs/2105.12523.
[7] Xin Huang, Jiajun Zhang, Zong Chengqing. Entity-level Cross-modal Learning Improves Multi-modal Machine Translation. EMNLP-findingsnull. 2021, [8] Wang, Hao, Wang, Bin, Duan, Jianyong, Zhang, Jiajun. Chinese Spelling Error Detection Using a Fusion Lattice LSTM. ACM TRANSACTIONS ON ASIAN AND LOW-RESOURCE LANGUAGE INFORMATION PROCESSING[J]. 2021, 20(2): http://dx.doi.org/10.1145/3426882.
[9] Zhu, Junnan, Xiang, Lu, Zhou, Yu, Zhang, Jiajun, Zong, Chengqing. Graph-based Multimodal Ranking Models for Multimodal Summarization. ACM TRANSACTIONS ON ASIAN AND LOW-RESOURCE LANGUAGE INFORMATION PROCESSING[J]. 2021, 20(4): [10] Lin, Haitao, Xiang, Lu, Zhou, Yu, Zhang, Jiajun, Zong, Chengqing. Augmenting Slot Values and Contexts for Spoken Language Understanding with Pretrained Models. 2021, [11] Hao He, Qian Wang, Zhipeng Yu, Yang Zhao, Jiajun Zhang, Zong Chengqing. Synchronous Interactive Decoding for Multilingual Neural Machine Translation. AAAInull. 2021, [12] Wang, Shaonan, Zhang, Jiajun, Wang, Haiyan, Lin, Nan, Zong, Chengqing. Fine-grained neural decoding with distributed word representations. INFORMATION SCIENCES[J]. 2020, 507: 256-272, http://dx.doi.org/10.1016/j.ins.2019.08.043.
[13] Zong Chengqing. Attend, Translate and Summarize: An Efficient Method for Neural Cross-Lingual Summarization. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (ACL). 2020, [14] 张家俊. istill and Replay for Continual Language Learning. COLING-2020. 2020, [15] Wang, Kexin, Zhou, Yu, Zhang, Jiajun, Wang, Shaonan, Zong, Chengqing. Structurally Comparative Hinge Loss for Dependency-Based Neural Text Representation. ACM TRANSACTIONS ON ASIAN AND LOW-RESOURCE LANGUAGE INFORMATION PROCESSING[J]. 2020, 19(4): https://www.webofscience.com/wos/woscc/full-record/WOS:000582616900012.
[16] Wang, Qian, Liu, Yuchen, Ma, Cong, Lu, Yu, Wang, Yining, Zhou, Long, Zhao, Yang, Zhang, Jiajun, Zong, Chengqing, Assoc Comp Linguist. CASIA's System for IWSLT 2020 Open Domain Translation. 17TH INTERNATIONAL CONFERENCE ON SPOKEN LANGUAGE TRANSLATION (IWSLT 2020)null. 2020, 130-139, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000563427100015.
[17] 田科, 张家俊. 基于预训练模型的机器翻译译文检测方法. 情报工程. 2020, 6(5): 15-26, http://lib.cqvip.com/Qikan/Article/Detail?id=7103342044.
[18] Zong Chengqing. Touch Editing: A Flexible One-Time Interaction Approach for Translation. The 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (AACL) and the 10th International Joint Conference on Natural Language Processing (IJCNLP). 2020, [19] Zong Chengqing. Multimodal Sentence Summarization via Multimodal Selective Encoding. COLING-2020. 2020, [20] Zong Chengqing. Knowledge Graph Enhanced Neural Machine Translation via Multi-task Learning on Sub-entity Granularity. Proceedings of 28th International Conference on Computational Linguistics (COLING 2020). 2020, [21] Zhang, Jiajun, Zhou, Long, Zhao, Yang, Zong, Chengqing. Synchronous bidirectional inference for neural sequence generation. ARTIFICIAL INTELLIGENCE[J]. 2020, 281: http://dx.doi.org/10.1016/j.artint.2020.103234.
[22] 张家俊. Non-autoregressive Neural Machine Translation with Distortion Model. NLPCC-2020. 2020, [23] Zhou, Long, Zhang, Jiajun, Kang, Xiaomian, Zong, Chengqing. Deep Neural Network-based Machine Translation System Combination. ACM TRANSACTIONS ON ASIAN AND LOW-RESOURCE LANGUAGE INFORMATION PROCESSING[J]. 2020, 19(5): https://www.webofscience.com/wos/woscc/full-record/WOS:000582617800005.
[24] Zong Chengqing. Knowledge Graphs Enhanced Neural Machine Translation. The 29th International Joint Conference on Artificial Intelligence and the 17th Pacific Rim International Conference on Artificial Intelligence (IJCAI-PRICAI 2020). 2020, [25] Kang, Xiaomian, Zhao, Yang, Zhang, Jiajun, Zong, Chengqing. Dynamic Context Selection for Document-level Neural Machine Translation via Reinforcement Learning. 2020, http://arxiv.org/abs/2010.04314.
[26] Shaonan Wang, Jiajun Zhang, Nan Lin, Chengqing Zong. Probing Brain Activation Patterns by Dissociating Semantics and Syntax in Sentences. The Thirty-Fourth AAAI Conference on Artificial Intelligencenull. 2020, 9201-9208, [27] Zong Chengqing. Keywords-Guided Abstractive Sentence Summarization. AAAI-2020. 2020, [28] Zhang, JiaJun, Zong, ChengQing. Neural machine translation: Challenges, progress and future. SCIENCE CHINA-TECHNOLOGICAL SCIENCESnull. 2020, 63(10): 2028-2050, http://lib.cqvip.com/Qikan/Article/Detail?id=7103080204.
[29] Zhou, Long, Zhang, Jiajun, Zong, Chengqing, Assoc Computat Linguist. Improving Autoregressive NMT with Non-Autoregressive Model. WORKSHOP ON AUTOMATIC SIMULTANEOUS TRANSLATION CHALLENGES, RECENT ADVANCES, AND FUTURE DIRECTIONSnull. 2020, 24-29, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000563392400004.
[30] Zong Chengqing, Sun Jingyuan, Wang Shaonan, Zhang Jiajun. Towards Sentence-Level Brain Decoding with Distributed Representations. 2019, http://ir.ia.ac.cn/handle/173211/23195.
[31] Huang, Guoping, Zhang, Jiajun, Zhou, Yu, Zong, Chenqing. Input Method for Human Translators: A Novel Approach to Integrate Machine Translation Effectively and Imperceptibly. ACM TRANSACTIONS ON ASIAN AND LOW-RESOURCE LANGUAGE INFORMATION PROCESSING[J]. 2019, 18(1): http://ir.ia.ac.cn/handle/173211/23189.
[32] Zong Chengqing. Synchronously Generating Two Languages with Interactive Decoding. EMNLP-2019. 2019, [33] 赵阳, 周龙, 王迁, 马聪, 刘宇宸, 王亦宁, 向露, 张家俊, 周玉, 宗成庆. 民汉稀缺资源神经机器翻译技术研究. 江西师范大学学报:自然科学版. 2019, 43(6): 630-637, http://lib.cqvip.com/Qikan/Article/Detail?id=7100429130.
[34] Sun, Jingyuan, Wang, Shaonan, Zhang, Jiajun, Zong, Chengqing, AAAI. Towards Sentence-Level Brain Decoding with Distributed Representations. THIRTY-THIRD AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTY-FIRST INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE / NINTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCEnull. 2019, 7047-7054, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000486572501072.
[35] Zhang, Jiajun, Zhao, Yang, Li, Haoran, Zong, Chengqing. Attention With Sparsity Regularization for Neural Machine Translation and Summarization. IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING[J]. 2019, 27(3): 507-518, http://ir.ia.ac.cn/handle/173211/23190.
[36] Liu Yuchen, Zhang Jiajun, Xiong Hao, Zhou Long, He Zhongjun, Wu Hua, Wang Haifeng, Zong Chengqing. Synchronous Speech Recognition and Speech-to-Text Translation with Interactive Decoding. 2019, http://arxiv.org/abs/1912.07240.
[37] Zhou, Long, Zhang, Jiajun, Zong, Chengqing. Synchronous Bidirectional Neural Machine Translation. Transactions of the Association for Computational Linguistics[J]. 2019, 7: 91-105, https://doaj.org/article/be56f86d78244209b624a440db54419e.
[38] 张家俊. Incremental Learning from Scratch for Task-Oriented Dialogue System. ACL-2019. 2019, [39] Bai He, Zhou Yu, Zhang Jiajun, Zong Chengqing, ACL, Korhonen A, Traum D, Marquez L. Memory Consolidation for Contextual Spoken Language Understanding with Dialogue Logistic Inference. 57TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2019)null. 2019, 5448-5453, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000493046107099.
[40] Zhou Long, Zhang Jiajun, Zong Chengqing, Yu Heng. Sequence Generation: From Both Sides to the Middle. 2019, http://arxiv.org/abs/1906.09601.
[41] Wang Weikang, Zhang Jiajun, Li Qian, Zong Chengqing, Li Zhifei. Are You for Real? Detecting Identity Fraud via Dialogue Interactions. 2019, http://arxiv.org/abs/1908.06820.
[42] Li, Haoran, Zhu, Junnan, Ma, Cong, Zhang, Jiajun, Zong, Chengqing. Read, Watch, Listen, and Summarize: Multi-Modal Summarization for Asynchronous Text, Image, Audio and Video. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING[J]. 2019, 31(5): 996-1009, http://ir.ia.ac.cn/handle/173211/24573.
[43] Wu Hua, He Zhongjun, Zong Chengqing, Zhang Jiajun, Zhao Yang. Addressing the Under-translation Problem from the Entropy Perspective. 2019, http://ir.ia.ac.cn/handle/173211/23194.
[44] Zhu Junnan, Wang Qian, Wang Yining, Zhou Yu, Zhang Jiajun, Wang Shaonan, Zong Chengqing. NCLS: Neural Cross-Lingual Summarization. 2019, http://arxiv.org/abs/1909.00156.
[45] Zhang Jiajun, Zong Chengqing. Deep Learning for Natural Language Processing. Deep Learning: Fundamentals, Theory and Applicationsnull. 2019, http://ir.ia.ac.cn/handle/173211/23192.
[46] Wang Yining, Zhou Long, Zhang Jiajun, Zhai Feifei, Xu Jingfang, Zong Chengqing, ACL, Korhonen A, Traum D, Marquez L. A Compact and Language-Sensitive Multilingual Translation Method. 57TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2019)null. 2019, 1213-1223, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000493046102021.
[47] Zong Chengqing, Zhang Jiajun, Li Xiaoqing. One Sentence One Model for Neural Machine Translation. 2018, http://ir.ia.ac.cn/handle/173211/23204.
[48] Zong Chengqing, He Zhongjun, Wu Hua, Zhao Yang, Zhang Jiajun. Addressing Troublesome Words in Neural Machine Translation. 2018, http://ir.ia.ac.cn/handle/173211/23196.
[49] Zhao Yang, Zong Chengqing, Zhang Jiajun, Wang Yining. Phrase Table as Recommendation Memory for Neural Machine Translation. 2018, http://ir.ia.ac.cn/handle/173211/23202.
[50] Zong Chengqing, Zhang Jiajun, Wang Shaonan. Learning Multimodal Word Representation via Dynamic Fusion Methods. 2018, http://arxiv.org/abs/1801.00532.
[51] Liu Tianshang, Zhu Junnan, Li Haoran, Zong Chengqing, Zhang Jiajun. Multi-modal Sentence Summarization with Modality Attention and Image Filtering. 2018, http://ir.ia.ac.cn/handle/173211/23108.
[52] Liu Yang, Zhang Jiajun. Deep Learning in Machine Translation. Deep Learning in Natural Language Processingnull. 2018, http://ir.ia.ac.cn/handle/173211/23191.
[53] Zhang Jiajun, Zhu Junnan, Zong Chengqing, Li Haoran, Liu Tianshang, Zhou Yu. MSMO: Multimodal Summarization with Multimodal Output. 2018, http://ir.ia.ac.cn/handle/173211/23200.
[54] Zong Chengqing, Lin Nan, Wang Shaonan, Zhang Jiajun. Investigating Inner Properties of Multimodal Representation and Semantic Compositionality with Brain-based Componential Semantics. 2018, http://arxiv.org/abs/1711.05516.
[55] Junnan Zhu, Haoran Li, Tianshang Liu, Chengqing Zong, Jiajun Zhang. Review Headline Generation with User Embedding. 2018, http://ir.ia.ac.cn/handle/173211/23665.
[56] Wang Shaonan, Zhang Jiajun, Lin Nan, Zong Chengqing, AAAI. Investigating Inner Properties of Multimodal Representation and Semantic Compositionality with Brain-Based Componential Semantics. THIRTY-SECOND AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTIETH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE / EIGHTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCEnull. 2018, 5964-5972, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000485488906008.
[57] Li Haoran, Zhang Jiajun, Zong Chengqing, Zhu Junnan. Ensure the Correctness of the Summary: Incorporate Entailment Knowledge into Abstractive Sentence Summarization. 2018, http://ir.ia.ac.cn/handle/173211/23206.
[58] Zong Chengqing, Li Zhifei, Zhang Han, Hwang MeiYuh, Zhang Jiajun, Wang Weikang. A Teacher-Student Framework for Maintainable Dialog Manager. 2018, http://ir.ia.ac.cn/handle/173211/23199.
[59] Zhao Liang, Zong Chengqing, Bai He, Zhou Yu, Zhang Jiajun, Hwang MeiYuh. Source-Critical Reinforcement Learning for Transferring Spoken Language Understanding to a New Language. 2018, http://arxiv.org/abs/1808.06167.
[60] Zhai Feifei, Wang Yining, Zhang Jiajun, Zong Chengqing, Xu Jingfang. Three Strategies to Improve One-to-Many Multilingual Translation. 2018, http://ir.ia.ac.cn/handle/173211/23197.
[61] Wang, Shaonan, Zhang, Jiajun, Zong, Chengqing. Empirical Exploring Word-Character Relationship for Chinese Sentence Representation. ACM TRANSACTIONS ON ASIAN AND LOW-RESOURCE LANGUAGE INFORMATION PROCESSING[J]. 2018, 17(3): https://www.webofscience.com/wos/woscc/full-record/WOS:000433090800001.
[62] Wang Shaonan, Zhang Jiajun, Zong Chengqing, AAAI. Learning Multimodal Word Representation via Dynamic Fusion Methods. THIRTY-SECOND AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTIETH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE / EIGHTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCEnull. 2018, 5973-5980, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000485488906009.
[63] Zhang Jiajun, Zhao Yang, Zong Chengqing. Exploiting Pre-Ordering for Neural Machine Translation. 2018, http://ir.ia.ac.cn/handle/173211/23205.
[64] Chen Jiajun, Zhang Jiajun. Machine Translation. Machine Translationnull. 2018, http://ir.ia.ac.cn/handle/173211/23193.
[65] Wang Shaonan, Zhang Jiajun, Zong Chengqing. Associative Multichannel Autoencoder for Multimodal Word Representation. 2018, http://ir.ia.ac.cn/handle/173211/23198.
[66] Wang, Shaonan, Zhang, Jiajun, Lin, Nan, Zong, Chengqing. Investigating inner properties of multimodal representation and semantic compositionality with brain-based componential semantics. 32nd AAAI Conference on Artificial Intelligence, AAAI 2018null. 2018, 5964-5972, [67] Long Zhou, Jiajun Zhang, Chengqing Zong. Look-ahead Attention for Generation in Neural Machine Translation. 2017, http://arxiv.org/abs/1708.09217.
[68] Yining Wang, Jiajun Zhang, Chengqing Zong, Yang Zhao. Cost-aware Learning Rate for Neural Machine Translation. 2017, http://ir.ia.ac.cn/handle/173211/23920.
[69] 热合木马合木提, 于斯音于苏普, 张家俊, 宗成庆, 艾斯卡尔艾木都拉. 基于模糊匹配与音字转换的维吾尔语人名识别. 清华大学学报. 自然科学版[J]. 2017, 57(2): 188-196, [70] Shaonan Wang, Chengqing Zong, Jiajun Zhang. Learning Sentence Representation with Guidance of Human Attention. 2017, http://arxiv.org/abs/1609.09189.
[71] Li, Haoran, Zhang, Jiajun, Zong, Chengqing. Implicit Discourse Relation Recognition for English and Chinese with Multiview Modeling and Effective Representation Learning. ACM TRANSACTIONS ON ASIAN AND LOW-RESOURCE LANGUAGE INFORMATION PROCESSING[J]. 2017, 16(3): http://ir.ia.ac.cn/handle/173211/23107.
[72] Long Zhou, Wenpeng Hu, Jiajun Zhang, Chengqing Zong. Neural System Combination for Machine Translation. 2017, http://arxiv.org/abs/1704.06393.
[73] Chuanhai Dong, Jiajun Zhang, Huijia Wu, Chengqing Zong. Multichannel LSTM-CRF for Named Entity Recognition in Chinese Social Media. 2017, http://ir.ia.ac.cn/handle/173211/20026.
[74] Haoran Li, Junnan Zhu, Cong Ma, Jiajun Zhang, Chengqing Zong. Multi-modal Summarization for Asynchronous Collection of Text, Image, Audio and Video. 2017, http://ir.ia.ac.cn/handle/173211/20063.
[75] 张家俊, 宗成庆. 神经网络语言模型在统计机器翻译中的应用. 情报工程. 2017, 3(3): 21-28, http://lib.cqvip.com/Qikan/Article/Detail?id=672601284.
[76] Zhou Long, Hu Wenpeng, Zhang Jiajun, Zong Chengqing, Barzilay R, Kan MY. Neural System Combination for Machine Translation. PROCEEDINGS OF THE 55TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2017), VOL 2null. 2017, 378-384, http://dx.doi.org/10.18653/v1/P17-2060.
[77] Junnan Zhu, Long Zhou, Haoran Li, Jiajun Zhang, Yu Zhou, Chengqing Zong. Augmenting Neural Sentence Summarization through Extractive Summarization. 2017, http://ir.ia.ac.cn/handle/173211/20039.
[78] 宗成庆, 张家俊, 宗成庆, 吴惠甲. A Dynamic Window Neural Network for CCG Supertagging. 2017, http://arxiv.org/abs/1610.02749.
[79] Wu Huijia, Zhang Jiajun, Zong Chengqing, AAAI. A Dynamic Window Neural Network for CCG Supertagging. THIRTY-FIRST AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCEnull. 2017, 3337-3343, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000485630703054.
[80] Wu Huijia, Zong Chengqing, Zhang Jiajun. Shortcut Sequence Tagging. 2017, http://arxiv.org/abs/1701.00576.
[81] Chengqing Zong, Shaonan Wang, Jiajun Zhang. Exploiting Word Internal Structures for Generic Chinese Sentence Representation. 2017, http://ir.ia.ac.cn/handle/173211/20062.
[82] Huijia Wu, Jiajun Zhang, Chengqing Zong. A Dynamic Window Network for CCG Supertagging. 2017, http://ir.ia.ac.cn/handle/173211/20060.
[83] Yang Liu, Jiajun Zhang, Chengqing Zong. Memory Augmented Attention Model for Chinese Implicit Discourse Relation Recognition. 2017, http://ir.ia.ac.cn/handle/173211/23998.
[84] Yang Zhao, Chengqing Zong, Jiajun Zhang, Yining Wang. Towards Neural Machine Translation with Partially Aligned Corpora. 2017, http://arxiv.org/abs/1711.01006.
[85] Yang Liu, Xi Zhou, Yating Yang, Chengqing Zong, Jiajun Zhang. A Bilingual Discourse Corpus and Its Applications. 2016, http://ir.ia.ac.cn/handle/173211/23997.
[86] Jiajun Zhang, Haoran Li, Chengqing Zong, Yu Zhou. GuideRank: A Guided Ranking Graph Model for Multilingual Multi-document Summarization. 2016, http://ir.ia.ac.cn/handle/173211/19940.
[87] Zhang Jiajun, Zong Chengqing, Wu Huijia. An Empirical Exploration of Skip Connections for Sequential Tagging. 2016, http://arxiv.org/abs/1610.03167.
[88] Chengqing Zong, Long Zhou, Haoran Li, Xiaomian Kang, Jiajun Zhang. An End-to-End Chinese Discourse Parser with Adaptation to Explicit and Non-explicit Relation Recognition. 2016, http://ir.ia.ac.cn/handle/173211/20017.
[89] Chengqing Zong, Jiajun Zhang, Yu Zhou, Chengqing Zong, Guoping Huang. Learning from User Feedback for Machine Translation in Real-Time. Natural Language Understanding and Intelligent Applications: 5th CCF Conference on Natural Language Processing and Chinese Computing, NLPCC 2016, and 24th International Conference on Computer Processing of Oriental Languages, ICCPOL 2016, Kunming, China, December 2--6, 2016, Proceedingsnull. 2016, http://ir.ia.ac.cn/handle/173211/14812.
[90] Yu Zhou, Chengqing Zong, Jiajun Zhang, Guoping Huang. A Simple, Straightforward and Effective Model for Joint Bilingual Terms Detection and Word Alignment in SMT. Natural Language Understanding and Intelligent Applications: 5th CCF Conference on Natural Language Processing and Chinese Computing, NLPCC 2016, and 24th International Conference on Computer Processing of Oriental Languages, ICCPOL 2016, Kunming, China, December 2--6, 2016, Proceedingsnull. 2016, http://ir.ia.ac.cn/handle/173211/14811.
[91] Chengqing Zong, Jiajun Zhang. Exploiting Source-side Monolingual Data in Neural Machine Translation. 2016, http://ir.ia.ac.cn/handle/173211/20022.
[92] Yu Zhou, Chengqing Zong, Jiajun Zhang, Haoran Li. Predicting Implicit Discourse Relation with Multi-view Modeling and Effective Representation Learning. 2016, http://ir.ia.ac.cn/handle/173211/19938.
[93] Zhang, Jiajun, Zhou, Yu, Zong, Chengqing. Abstractive Cross-Language Summarization via Translation Model Enhanced Predicate Argument Structure Fusing. IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING[J]. 2016, 24(10): 1842-1853, https://www.webofscience.com/wos/woscc/full-record/WOS:000381442600014.
[94] Zhang Jiajun, Li Xiaoqing, Zong Chengqing. Towards Zero Unknown Word in Neural Machine Translation. Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligencenull. 2016, http://ir.ia.ac.cn/handle/173211/13014.
[95] Li Haoran, Zhang Jiajun, Zhou Yu, Zong Chengqing, Lin CY, Xue N, Zhao D, Huang X, Feng Y. Predicting Implicit Discourse Relation with Multi-view Modeling and Effective Representation Learning. NATURAL LANGUAGE UNDERSTANDING AND INTELLIGENT APPLICATIONS (NLPCC 2016)null. 2016, 10102: 374-386, [96] Yu Zhou, Hongyuang Ma, Jiajun Zhang, Chunlu Zhao, Guoping Huang. MinKSR: A Novel MT Evaluation Metric for Coordinating Human Translators with the CAT-Oriented Input Method. Machine Translation: 12th China Workshop, CWMT 2016, Urumqi, China, August 25--26, 2016, Revised Selected Papersnull. 2016, http://ir.ia.ac.cn/handle/173211/14813.
[97] Hu Wenpeng, Zheng Nan, Zhang Jiajun. Different Contexts Lead to Different Word Embeddings. 2016, http://ir.ia.ac.cn/handle/173211/20681.
[98] Zhou Yu, Zong Chengqing, Zhang Jiajun, Huang Guoping. MinKSR: Learning from User Feedback for Machine Translation in Real-Time. 2016, http://ir.ia.ac.cn/handle/173211/21763.
[99] Li Haoran, Zhang Jiajun, Zhou Yu, Zong Chengqing, Lin CY, Xue N, Zhao D, Huang X, Feng Y. GuideRank: A Guided Ranking Graph Model for Multilingual Multi-document Summarization. NATURAL LANGUAGE UNDERSTANDING AND INTELLIGENT APPLICATIONS (NLPCC 2016)null. 2016, 10102: 608-620, [100] Zong Chengqing, Zhou Yu, Zhang Jiajun, Huang Guoping. A Simple, Straightforward and Effective Model for Joint Bilingual Terms Detection and Word Alignment in SMT. 2016, http://ir.ia.ac.cn/handle/173211/21762.
[101] 吴惠甲, 宗成庆, 张家俊. 一种神经范畴标注模型. 软件学报. 2016, 2691-2700, http://lib.cqvip.com/Qikan/Article/Detail?id=670476748.
[102] 胡文鹏, 郑楠, 张家俊. Different Contexts Lead to Different Word Embeddings. Proceedings of COLING 2016: Technical Papers[J]. 2016, http://ir.ia.ac.cn/handle/173211/14714.
[103] Zhang, Jiajun, Liu, Shujie, Li, Mu, Zhou, Ming, Zong, Chengqing. Towards Machine Translation in Semantic Vector Space. ACM TRANSACTIONS ON ASIAN AND LOW-RESOURCE LANGUAGE INFORMATION PROCESSING[J]. 2015, 14(2): https://www.webofscience.com/wos/woscc/full-record/WOS:000370872500004.
[104] Zhang, Jiajun, Zong, Chengqing. Deep Neural Networks in Machine Translation: An Overview. IEEE INTELLIGENT SYSTEMS[J]. 2015, 30(5): 16-25, http://ir.ia.ac.cn/handle/173211/9012.
[105] Zhang Jiajun, Zhang Dakun, Hao Jie, Yang Q, Wooldridge M. Local Translation Prediction with Global Sentence Representation. PROCEEDINGS OF THE TWENTY-FOURTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE (IJCAI)null. 2015, 1398-1404, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000442637801068.
[106] Zhang Dakun, Hao Jie, Zhang Jiajun. Local Translation Prediction with Global Sentence Representation. 2015, http://arxiv.org/abs/1502.07920.
[107] Jiajun Zhang, Haoran Li, Chengqing Zong. Predicting Implicit Discourse Relations with Purely Distributed Representations. 2015, http://ir.ia.ac.cn/handle/173211/19928.
[108] Zhou Yu, Huang Guoping, Zhang Jiajun, Zong Chengqing. A New Input Method for Human Translators: Integrating Machine Translation Effectively and Imperceptibly. 2015, http://ir.ia.ac.cn/handle/173211/20683.
[109] Jiajun Zhang, Mu Li, Ming Zhou, Chengqing Zong, Shujie Liu. Towards Machine Translation in Semantic Vector Space. ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP)[J]. 2015, 14(2): 26-, http://ir.ia.ac.cn/handle/173211/19930.
[110] Huang Guoping, Zhang Jiajun, Zhou Yu, Zong Chengqing, Yang Q, Wooldridge M. A New Input Method for Human Translators: Integrating Machine Translation Effectively and Imperceptibly. PROCEEDINGS OF THE TWENTY-FOURTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE (IJCAI)null. 2015, 1163-1169, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000442637801035.
[111] Zhai Feifei, Zhang Jiajun, Zhou Yu, Zong Chengqing, Toutanova K, Wu H. RNN-based Derivation Structure Prediction for SMT. PROCEEDINGS OF THE 52ND ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, VOL 2null. 2014, 779-784, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000493811100126.
[112] Zhou Yu, Zong Chengqing, Zhang Jiajun. RNN-based derivation structure prediction for SMT. Annual Meeting of Association for Computational Linguistics (ACL)null. 2014, 779-784, http://ir.ia.ac.cn/handle/173211/4771.
[113] Zhang Jiajun, Liu Shujie, Li Mu, Zhou Ming, Zong Chengqing, AAAI. Mind the Gap: Machine Translation by Minimizing the Semantic Gap in Embedding Space. PROCEEDINGS OF THE TWENTY-EIGHTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCEnull. 2014, 1657-1663, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000485439701092.
[114] Chengqing Zong, Jiajun Zhang. Bilingually-constrained Phrase Embeddings for Machine Translation. Annual Meeting of Association for Computational Linguistics (ACL)null. 2014, 111-121, http://ir.ia.ac.cn/handle/173211/4787.
[115] Zhang Jiajun, Liu Shujie, Li Mu, Zhou Ming, Zong Chengqing, Toutanova K, Wu H. Bilingually-constrained Phrase Embeddings for Machine Translation. PROCEEDINGS OF THE 52ND ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, VOL 1null. 2014, 111-121, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000493814100011.
[116] Liu Yang, Hao Jie, Zhang Dakun, Zhang Jiajun. Making Language Model as Small as Possible in Statistical Machine Translation. 2014, http://ir.ia.ac.cn/handle/173211/23996.
[117] Zhou Ming, Zhang Jiajun, Liu Shujie, Li Mu, Zong Chengqing. Mind the Gap: Machine Translation by Minimizing the Semantic Gap in Embedding Space. 2014, http://ir.ia.ac.cn/handle/173211/20684.
[118] Zhang, Jiajun, Zong, Chengqing. A unified approach for effectively integrating source-side syntactic reordering rules into phrase-based translation. LANGUAGE RESOURCES AND EVALUATION[J]. 2013, 47(2): 449-474, https://www.webofscience.com/wos/woscc/full-record/WOS:000319776500007.
[119] 张家俊. Unsupervised Tree Induction for Tree-based Translation. Transactions of Association for Computational Linguistics (TACL). 2013, [120] Zhang, JiaJun, Zhai, FeiFei, Zong, ChengQing. A Substitution-Translation-Restoration Framework for Handling Unknown Words in Statistical Machine Translation. JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY[J]. 2013, 28(5): 907-918, https://www.webofscience.com/wos/woscc/full-record/WOS:000324661300014.
[121] Zong Chengqing, Zhang Jiajun, Zhou Yu. Handling ambiguities of bilingual predicate-argument structures for statistical machine translation. Annual Meeting of Association for Computational Linguistics (ACL)null. 2013, 1127-1136, http://ir.ia.ac.cn/handle/173211/4781.
[122] Zhang Jiajun, Zong Chengqing. Learning a phrase-based translation model from monolingual data with application to domain adaptation. Annual Meeting of Association for Computational Linguistics (ACL)null. 2013, 1425-1434, http://ir.ia.ac.cn/handle/173211/4779.
[123] 张家俊. Handling Ambiguities of Bilingual Predicate-Argument Structures for SMT. the 51stAnnual Meeting of the Association for Computational Linguistics (ACL). 2013, [124] Zhang, Jiajun, Zhai, Feifei, Zong, Chengqing. Syntax-Based Translation With Bilingually Lexicalized Synchronous Tree Substitution Grammars. IEEE TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING[J]. 2013, 21(8): 1586-1597, https://www.webofscience.com/wos/woscc/full-record/WOS:000318545200005.
[125] Zhang Jiajun, Zhou Yu, Zong Chengqing. Machine translation by modeling predicateargument structure transformation. International Conference on Computational Linguistics (COLING)null. 2012, 3019-3036, http://ir.ia.ac.cn/handle/173211/4769.
[126] Zhang Jiajun, Zhou Yu, Zong Chengqing. Treebased translation without using parse trees. International Conference on Computational Linguistics (COLING)null. 2012, 3037-3054, http://ir.ia.ac.cn/handle/173211/4766.
[127] Zong Chengqing, Zhang Jiajun. A Comparative Study on Discontinuous Phrase Translation. 2012, http://ir.ia.ac.cn/handle/173211/20688.
[128] Hussain Amir, Cambria Erik, Durrani Tariq, Zhang Jiajun. Towards a chinese common and common sense knowledge base for sentiment analysis. 2012, http://ir.ia.ac.cn/handle/173211/20695.
[129] Zhang Jiajun, Zong Chengqing, Zhai Feifei. Handling Unknown Words in Statistical Machine Translation from a New Perspective. 2012, http://ir.ia.ac.cn/handle/173211/20689.
[130] 张家俊. 融合源语言句法知识的统计机器翻译方法研究. 2011, http://www.irgrid.ac.cn/handle/1471x/976958.
[131] 张家俊. Augmenting String-to-Tree Models with Fuzzy Use of Source-side Syntax.. Proceedings of Conference on Empirical Methods in Natural Language Processing. 2011, [132] Zong Chengqing, Zhang Jiajun, Zhai Feifei, Zhou Yu. Simple but Effective Approaches to Improving Tree-to-tree Model. 2011, http://ir.ia.ac.cn/handle/173211/20690.
[133] Zong Chengqing, Zhang Jiajun. Augmenting string-to-tree translation models with fuzzy use of source-side syntax. Empirical Methods in Natural Language Processing (EMNLP)null. 2011, 204-215, http://ir.ia.ac.cn/handle/173211/4752.
[134] 涂眉, 周玉, 陈钰枫, 宗成庆, 翟飞飞, 张家俊. 多语言文本机器翻译系统-中科院自动化所CWMT2011评测技术报告. 2011, http://ir.ia.ac.cn/handle/173211/21770.
[135] 张家俊, 周玉, 宗成庆, 陈钰枫, 李茂西. 中科院自动化所CWMT2009评测技术报告. 2009, http://ir.ia.ac.cn/handle/173211/21774.
[136] Zong Chengqing, Zhang Jiajun. A Framework for Effectively Integrating Hard and Soft Syntactic Rules into Phrase Based Translation. 2009, http://ir.ia.ac.cn/handle/173211/20691.
[137] Zhou Yu, Zhang Jiajun, Zong Chengqing, Li Maoxi. The CASIA Statistical Machine Translation System for IWSLT 2009. 2009, http://ir.ia.ac.cn/handle/173211/20692.
[138] 张家俊. A Framework for Effectively Integrating Hard and Soft Syntactic Rule into Phrase Based Translation. Pacific Asia Conference on Language, Information and Computation. 2009, [139] 宗成庆, 周玉, 陈钰枫, 李茂西, 张家俊, 何彦青. CWMT’08统计机器翻译研讨会自动化所技术报告. 2008, http://ir.ia.ac.cn/handle/173211/21776.
[140] Zong Chengqing, Chen Yufeng, Fang Licheng, Li Maoxi, Zhang Jiajun, He Yanqing, Zhou Yu. The CASIA Statistical Machine Translation System for IWSLT 2008. 2008, http://ir.ia.ac.cn/handle/173211/20694.
[141] 张家俊, 宗成庆. COLING 2008会议介绍. 中文信息学报. 2008, 22(6): 125-126, http://lib.cqvip.com/Qikan/Article/Detail?id=28740317.
[142] Zong Chengqing, Zhang Jiajun, Li Shoushan. Sentence Type Based Reordering Model for Statistical Machine Translation. 2008, http://ir.ia.ac.cn/handle/173211/20693.
发表著作
(1) Deep Learning in Machine Translation, Springer, 2018-05, 第 2 作者
(2) 文本数据挖掘, 清华大学出版社, 2019-05, 第 3 作者
(3) Text Data Mining, Springer, 2021-05, 第 3 作者

科研活动

   
科研项目
( 1 ) 基于单语语料的无监督统计机器翻译模型研究, 主持, 国家级, 2014-01--2016-12
( 2 ) 面向汉语文本理解的语义计算方法, 主持, 国家级, 2016-01--2017-12
( 3 ) 日汉双向机器翻译引擎, 主持, 国家级, 2014-04--2016-03
( 4 ) 中国科协“青年人才托举工程”, 主持, 国家级, 2015-01--2017-12
( 5 ) 基于弱监督的神经网络机器翻译模型研究, 主持, 国家级, 2017-01--2020-12
( 6 ) 基于深度神经网络的高性能中日互译机器翻译系统的开发与研究, 主持, 院级, 2017-04--2018-03
( 7 ) 多语种语音识别与机器翻译, 主持, 国家级, 2018-02--2021-12
( 8 ) 人机交互式机器翻译译文动态优化方法研究, 主持, 院级, 2018-05--2019-04
( 9 ) 基于知识的机器翻译技术研究, 主持, 院级, 2018-05--2019-04
( 10 ) 神经网络机器翻译关键技术研究, 主持, 院级, 2018-01--2018-12
( 11 ) 面向多语言的机器翻译技术研究, 主持, 院级, 2018-05--2019-04
( 12 ) 基于深度学习的机器翻译, 主持, 院级, 2018-06--2019-06
( 13 ) 词汇认知图谱构建及示范, 主持, 省级, 2018-12--2020-12
( 14 ) 北京智源人工智能研究院智源青年科学家项目, 主持, 研究所(学校), 2019-12--2020-12
( 15 ) 北京智源人工智能研究院智源青年科学家项目, 主持, 研究所(学校), 2020-12--2021-11
( 16 ) 基金委优秀青年基金项目-机器翻译, 主持, 国家级, 2022-01--2024-12

指导学生

已指导学生

刘天赏  硕士研究生  085211-计算机技术  

胡文鹏  硕士研究生  085211-计算机技术  

田科  硕士研究生  085211-计算机技术  

现指导学生

贺楚祎  硕士研究生  085211-计算机技术  

李鑫  硕士研究生  085211-计算机技术  

邹淑娴  硕士研究生  081203-计算机应用技术  

金飞虎  硕士研究生  081104-模式识别与智能系统  

王晨  硕士研究生  081104-模式识别与智能系统  

卢宇  博士研究生  081104-模式识别与智能系统  

王迁  博士研究生  081104-模式识别与智能系统  

马力群  硕士研究生  085400-电子信息  

徐杨一帆  博士研究生  081203-计算机应用技术  

陆金梁  博士研究生  081104-模式识别与智能系统