张家俊-中国科学院大学-UCAS

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] 赵阳, 张家俊, 宗成庆. Transformer: A General Framework from Machine Translation to Others.. Machine Intelligence Research[J]. 2023, [2] 金飞虎, 陆金梁, 张家俊, 宗成庆. Instance-aware Prompt Learning for Language Understanding and Generation.. ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP)[J]. 2023, [3] 陆金梁, 金飞虎, 张家俊. Adapter Tuning With Task-Aware Attention Mechanism. ICASSPnull. 2023, [4] 陆金梁, 张家俊. Towards Unified Multi-Domain Machine Translation With Mixture of Domain Experts. IEEE ACM Trans. Audio Speech Lang. Process[J]. 2023, [5] 黄鑫, 张家俊, 宗成庆. 基于跨模态实体信息融合的神经机器翻译方法. 自动化学报[J]. 2023, 49(1): [6] 陆金梁, 卢宇, 张家俊. Take a Closer Look at Multilinguality! Improve Multilingual Pre-Training Using Monolingual Corpora Only. EMNLP Findingsnull. 2023, [7] 李翀, 王少楠, 张云豪, 张家俊, 宗成庆. Interpreting and Exploiting Functional Specialization in Multi-Head Attention under Multi-task Learning. EMNLPnull. 2023, [8] 金飞虎, 张家俊, 宗成庆. Parameter-efficient Tuning for Large Language Model without Calculating Its Gradients. EMNLPnull. 2023, [9] Huang, Xin, Zhang, Jiajun, Zong, Chengqing. Contrastive Adversarial Training for Multi-Modal Machine Translation. ACM TRANSACTIONS ON ASIAN AND LOW-RESOURCE LANGUAGE INFORMATION PROCESSING[J]. 2023, 22(6): http://dx.doi.org/10.1145/3587267.
[10] Shaonan Wang, Yunhao Zhang, Xiaohan Zhang, Jingyuan Sun, Nan Lin, Jiajun Zhang, Chengqing Zong. An fmri dataset for concept representation with semantic feature annotations. Scientific Data[J]. 2022, [11] Qian Wang, Jiajun Zhang. Addressing Asymmetry in Multilingual Neural Machine Translation with Fuzzy Task Clustering. COLINGnull. 2022, [12] Wang, Qian, Zhang, Jiajun, Zong, Chengqing. Synchronous Inference for Multilingual Neural Machine Translation. IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING[J]. 2022, 30: 1827-1839, http://dx.doi.org/10.1109/TASLP.2022.3178241.
[13] 张肖寒, 王少楠, 林楠, 张家俊, 宗成庆. Probing Word Syntactic Representations in the Brain by a Feature Elimination Method. In Proceedings of the 2022 AAAI Conference on Artificial Intelligence, Virtual Conference. Feb. 22-Mar. 1, 2022[J]. 2022, [14] 王少楠, 张家俊, 宗成庆. 基于语言计算方法的语言认知实验综述. 中文信息学报. 2022, 36(4): 1-11, https://d.wanfangdata.com.cn/periodical/zwxxxb202204001.
[15] Lin, Haitao, Zhu, Junnan, Xiang, Lu, Zhou, Yu, Zhang, Jiajun, Zong, Chengqing. Other Roles Matter! Enhancing Role-Oriented Dialogue Summarization via Role Interactions. ACLnull. 2022, [16] Qian Wang, Jiajun Zhang. Parameter Differentiation based Multilingual Neural Machine Translation. AAAInull. 2022, [17] 王少楠, 丁鼐, 林楠, 张家俊, 宗成庆. 语言认知与语言计算--人与机器的语言理解. 中国科学:信息科学[J]. 2022, 52(10): 1748-1774, http://lib.cqvip.com/Qikan/Article/Detail?id=7108417302.
[18] Shuxian, Zou, Shaonan, Wang, Jiajun, Zhang, Chengqing, Zong. Cross-Modal Cloze Task: A New Task to Brain-to-Word Decoding. ACLnull. 2022, [19] Shaonan Wang, Xiaohan Zhang, Jiajun Zhang, Chengqing Zong. A synchronized multimodal neuroimaging dataset for studying brain language processing. SCIENTIFIC DATA[J]. 2022, 9(1): 1-10, https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9525723/.
[20] Kang, Xiaomian, Zhao, Yang, Zhang, Jiajun, Zong, Chengqing. Enhancing Lexical Translation Consistency for Document-Level Neural Machine Translation. ACM TRANSACTIONS ON ASIAN AND LOW-RESOURCE LANGUAGE INFORMATION PROCESSING[J]. 2022, 21(3): http://dx.doi.org/10.1145/3485469.
[21] Qian Wang, Chen Wang, Jiajun Zhang. Investigating Parameter Sharing in Multilingual Speech Translation. Interspeechnull. 2022, [22] 王少楠, 张云豪, 张肖寒, 孙静远, 林楠, 张家俊, 宗成庆. An fMRI Dataset for Concept Representation with Semantic Feature Annotations. Nature- Scientific Data. Scientific Data[J]. 2022, [23] Yu Lu, Jiajun Zhang. Norm-based Noisy Corpora Filtering and Refurbishing in Neural Machine Translation. EMNLPnull. 2022, [24] 王晨, 刘宇宸, 陈博兴, 张家俊, Wei Luo, Zhongqiang Huang, 宗成庆. Discrete Cross-Modal Alignment Enables Zero-Shot Speech Translation.. Conference on Empirical Methods in Natural Language Processing (EMNLP), December 7–11, 2022, Abu Dhabi.[J]. 2022, [25] Lu, Yu, Zhang, Jiajun, Zeng, Jiali, Wu, Shuangzhi, Zong, Chengqing. Attention Analysis and Calibration for Transformer in Natural Language Generation. IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING[J]. 2022, 30: 1927-1938, http://dx.doi.org/10.1109/TASLP.2022.3180678.
[26] Yu Lu, Jiali Zeng, Jiajun Zhang, Shuangzhi Wu, Mu Li. Learning Confidence for Transformer-based Neural Machine Translation. ACLnull. 2022, [27] Lu, Jinliang, Zhang, Jiajun. Exploiting Curriculum Learning in Unsupervised Neural Machine Translation. EMNLPnull. 2021, [28] 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, [29] 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, [30] Yu Lu, Jiali Zeng, Jiajun Zhang, Shuangzhi Wu, Mu Li. Attention Calibration for Transformer in Neural Machine Translation. ACLnull. 2021, [31] 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.
[32] 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.
[33] Xin Huang, Jiajun Zhang, Zong Chengqing. Entity-level Cross-modal Learning Improves Multi-modal Machine Translation. EMNLP-findingsnull. 2021, [34] 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.
[35] 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): http://dx.doi.org/10.1145/3445794.
[36] Lin, Haitao, Xiang, Lu, Zhou, Yu, Zhang, Jiajun, Zong, Chengqing. Augmenting Slot Values and Contexts for Spoken Language Understanding with Pretrained Models. 2021, [37] Hao He, Qian Wang, Zhipeng Yu, Yang Zhao, Jiajun Zhang, Zong Chengqing. Synchronous Interactive Decoding for Multilingual Neural Machine Translation. AAAInull. 2021, [38] 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, [39] 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.
[40] 张家俊. istill and Replay for Continual Language Learning. COLING-2020. 2020, [41] 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): http://dx.doi.org/10.1145/3387633.
[42] 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.
[43] 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[J]. 2020, 6(5): 15-26, http://lib.cqvip.com/Qikan/Article/Detail?id=7103342044.
[44] 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, [45] Zong Chengqing. Multimodal Sentence Summarization via Multimodal Selective Encoding. COLING-2020. 2020, [46] 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, [47] 张家俊. Non-autoregressive Neural Machine Translation with Distortion Model. NLPCC-2020. 2020, [48] Zhang, Jiajun, Zhou, Long, Zhao, Yang, Zong, Chengqing. Synchronous bidirectional inference for neural sequence generation. ARTIFICIAL INTELLIGENCE[J]. 2020, 281(281 (2020) 103234): http://dx.doi.org/10.1016/j.artint.2020.103234.
[49] 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): http://dx.doi.org/10.1145/3389791.
[50] 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, [51] 陆金梁, 张家俊. 基于多语言预训练语言模型的译文质量估计方法. 厦门大学学报:自然科学版[J]. 2020, 59(2): 151-158, https://kns.cnki.net/KCMS/detail/detail.aspx?dbcode=CJFQ&dbname=CJFDLAST2020&filename=XDZK202002003&v=MTU1ODRSN3FlWitkcEZpamhVNzNJUFNuUlpiRzRITkhNclk5Rlo0UjhlWDFMdXhZUzdEaDFUM3FUcldNMUZyQ1U=.
[52] 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.
[53] 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, [54] Zong Chengqing. Keywords-Guided Abstractive Sentence Summarization. AAAI-2020. 2020, [55] Zhang, JiaJun, Zong, ChengQing. Neural machine translation: Challenges, progress and future. SCIENCE CHINA-TECHNOLOGICAL SCIENCESnull. 2020, 63(10): 2028-2050, https://www.sciengine.com/doi/10.1007/s11431-020-1632-x.
[56] 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.
[57] Liu, Yang, Wang, Shaonan, Zhang, Jiajun, Zong, Chengqing. Experience-based Causality Learning for Intelligent Agents. ACM TRANSACTIONS ON ASIAN AND LOW-RESOURCE LANGUAGE INFORMATION PROCESSING[J]. 2019, 18(4): http://dx.doi.org/10.1145/3314943.
[58] 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.
[59] Zong Chengqing. Synchronously Generating Two Languages with Interactive Decoding. EMNLP-2019. 2019, [60] 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[J]. 2019, 43(6): 630-637, http://lib.cqvip.com/Qikan/Article/Detail?id=7100429130.
[61] 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.
[62] Sun, Jingyuan, Wang, Shaonan, Zhang, Jiajun, Zong, Chengqing, AAAI. Towards Sentence-Level Brain Decoding with Distributed Representations. THIRTYTHIRDAAAICONFERENCEONARTIFICIALINTELLIGENCETHIRTYFIRSTINNOVATIVEAPPLICATIONSOFARTIFICIALINTELLIGENCECONFERENCENINTHAAAISYMPOSIUMONEDUCATIONALADVANCESINARTIFICIALINTELLIGENCEnull. 2019, 7047-7054, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000486572501072.
[63] Wang Weikang, Zhang Jiajun, Li Qian, Hwang MeiYuh, Zong Chengqing, Li Zhifei, ACL, Korhonen A, Traum D, Marquez L. Incremental Learning from Scratch for Task-Oriented Dialogue Systems. 57TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2019)null. 2019, 3710-3720, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000493046106020.
[64] 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.
[65] 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.
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[159] 张家俊. Handling Ambiguities of Bilingual Predicate-Argument Structures for SMT. the 51stAnnual Meeting of the Association for Computational Linguistics (ACL). 2013, [160] 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.
[161] 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.
[162] 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.
[163] Zong Chengqing, Zhang Jiajun. A Comparative Study on Discontinuous Phrase Translation. 2012, http://ir.ia.ac.cn/handle/173211/20688.
[164] 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.
[165] 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.
[166] 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, [167] 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.
[168] 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－中国科学院自动化所CWMT2011评测技术报告. 2011, http://ir.ia.ac.cn/handle/173211/21770.
[169] 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.
[170] 张家俊, 周玉, 宗成庆, 陈钰枫, 李茂西. 中国科学院自动化所CWMT2009评测技术报告. 2009, http://ir.ia.ac.cn/handle/173211/21774.
[171] 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.
[172] 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.
[173] 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, [174] 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.
[175] 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.
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[177] Zong Chengqing, Zhang Jiajun, Li Shoushan. Sentence Type Based Reordering Model for Statistical Machine Translation. 2008, http://ir.ia.ac.cn/handle/173211/20693.
[178] Jin feihu, Lu jinliang, Zhang jiajun. UNIFIED PROMPT LEARNING MAKES PRE-TRAINED LANGUAGE MODELS BETTER FEW-SHOT LEARNERS. [179] Shaonan Wang, Xiaohan Zhang, Jiajun Zhang, Chengqing Zong. A synchronized multimodal neuroimaging dataset for studying brain language processing. SCIENTIFIC DATA. 9(1): http://dx.doi.org/10.1038/s41597-022-01708-5.
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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