Jiajun Zhang    张家俊 (In Chinese)
Ph.D.
Professor
Natural Language Processing Group
National Laboratory of Pattern Recognition

Institute of Automation Chinese Academy of Sciences
Email: jjzhang@nlpr.ia.ac.cn or jiajunzhangwing@gmail.com

Education:
2002.9-2006.7  BS. College of Computer Science and Technology, Jilin University
2006.9-2011.7  Ph.D. Institute of Automation Chinese Academy of Sciences


Research Interests:
Natural Language Processing, Machine Translation, Multi-lingual Text Analysis, Cross-modal Information Processing


Bio (in Chinese):

张家俊,中国科学院自动化研究所研究员、博士生导师,主要研究方向为机器翻译和自然语言处理,获得国家优秀青年科学基金资助,入选中国科协首届青年人才托举工程、中国科学院青年创新促进会优秀会员和北京智源青年科学家。发表CCF-A/B类论文80余篇,出版学术专著2部、译著1部,6次获得最佳/优秀论文奖,3次被评为IJCAI、ACL和NAACL的杰出SPC和审稿人。获得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、青年创新奖一等奖和2020年北京市科学技术奖一等奖等。担任中国中文信息学会理事、青年工作委员会主任和机器翻译专委会副主任。担任ACL/EMNLP/COLING的(资深)领域主席,担任《自动化学报》等期刊的编委。

News:

Our translated Chinese version of Prof. Philipp Koehn's book Neural Machine Translation (神经机器翻译) has been published (2022.4).

Two papers accepted by IEEE/ACM Transactions on Audio, Speech and Language Processing.

Two papers accepted by ACL main conference and one accepted by ACL-Findings 2022.

Our book Text Data Mining has been published by Springer (2021.5).

I will serve as a Senior Area Chair (SAC) for EMNLP-2022, AACL-2022 and an Area Chair for COLING-2022.

I served as a Senior Area Chair for ACL-2021 and an Area Chair for EMNLP-2021.




Recent Talks:

Interactive Decoding for Neural Machine Translation. 2021.


Datasets:

The datasets constructed by our lab can be found at ZNLP in github.


Recent Publications: (Full List: Google Scholar)

2022:

Yu Lu and Jiajun Zhang. Norm-based Noisy Corpora Filtering and Refurbishing in Neural Machine Translation. Proceedings of EMNLP-2022.

Chen Wang, Yuchen Liu, Boxing Chen, Jiajun Zhang, Wei Luo, Zhongqiang Huang and Chengqing Zong. Discrete Cross-Modal Alignment Enables Zero-Shot Speech Translation. Proceedings of EMNLP-2022.

Shaonan Wang, Xiaohan Zhang, Jiajun Zhang and Chengqing Zong. A Synchronized Multimodal Neuroimaging Dataset for Studying Brain Language Processing. Scientific Data 2022.

Qian Wang and Jiajun Zhang. Addressing Asymmetry in Multilingual Neural Machine Translation with Fuzzy Task Clustering. Proceedings of COLING-2022.

Qian Wang, Chen Wang and Jiajun Zhang. Investigating Parameter Sharing in Multilingual Speech Translation. Proceedings of Interspeech 2022.

Qian Wang, Jiajun Zhang and Chengqing Zong. Synchronous Inference for Multilingual Neural Machine Translation. IEEE/ACM Transactions on Audio, Speech and Language Processing 2022.

Yu Lu, Jiajun Zhang, Jiali Zeng, Shuangzhi Wu and Chengqing Zong. Attention Analysis and Calibration for Transformer in Natural Language Generation. IEEE/ACM Transactions on Audio, Speech and Language Processing 2022.

Yu Lu, Jiali Zeng, Jiajun Zhang, Shuangzhi Wu, Mu Li. Learning Confidence for Transformer-based Neural Machine Translation. Proceedings of ACL-2022.

Haitao Lin, Junnan Zhu, Lu Xiang, Yu Zhou, Jiajun Zhang, Chengqing Zong. Other Roles Matter! Enhancing Role-Oriented Dialogue Summarization via Role Interactions. Proceedings of ACL-2022.

Shuxian Zou, Shaonan Wang, Jiajun Zhang, Chengqing Zong. Cross-Modal Cloze Task: A New Task to Brain-to-Word Decoding. Proceedings of ACL-Findings 2022.

Qian Wang and Jiajun Zhang. Parameter Differentiation based Multilingual Neural Machine Translation. Proceedings of AAAI-2022.

Xiaohan Zhang, Shaonan Wang, Nan Lin, Jiajun Zhang and Chengqing Zong. Probing Word Syntactic Representations in the Brain by a Feature Elimination Method. Proceedings of AAAI-2022

2021:

Chengqing Zong, Rui Xia and Jiajun Zhang. Text Data Mining. Springer, 2021.5.

Yu Lu, Jiali Zeng, Jiajun Zhang, Shuangzhi Wu and Mu Li. Attention Calibration for Transformer in Neural Machine Translation.. In Proc. of ACL 2021: 1288-1298.

Yangyifan Xu, Yijin Liu, Fandong Meng, Jiajun Zhang, Jinan Xu and Jie Zhou. Bilingual Mutual Information Based Adaptive Training for Neural Machine Translation.. In Proc. of ACL 2021: 511-516.

Jinliang Lu and Jiajun Zhang. Exploiting Curriculum Learning in Unsupervised Neural Machine Translation.. In Proc. of EMNLP (Findings) 2021: 924-934.

Xin Huang, Jiajun Zhang and Chengqing Zong. Entity-level Cross-modal Learning Improves Multi-modal Machine Translation.. In Proc. of EMNLP (Findings) 2021: 1067-1080.

Haitao Lin, Liqun Ma, Junnan Zhu, Lu Xiang, Yu Zhou, Jiajun Zhang and Chengqing Zong. CSDS: A Fine-Grained Chinese Dataset for Customer Service Dialogue Summarization.. In Proc. of EMNLP 2021: 4436-4451.

Hao He, Qian Wang, Zhipeng Yu, Yang Zhao, Jiajun Zhang and Chengqing Zong. Synchronous Interactive Decoding for Multilingual Neural Machine Translation.. In Proc. of AAAI 2021: 12981-12988.

Jingyuan Sun, Shaonan Wang, Jiajun Zhang and Chengqing Zong. Neural Encoding and Decoding With Distributed Sentence Representations.. IEEE Trans. Neural Networks Learn. Syst. 32(2): 589-603 (2021).

Junnan Zhu, Lu Xiang, Yu Zhou, Jiajun Zhang and Chengqing Zong. Graph-based Multimodal Ranking Models for Multimodal Summarization.. ACM Trans. Asian Low Resour. Lang. Inf. Process. 20(4): 60:1-60:21 (2021).

2020:

Jiajun Zhang, Long Zhou, Yang Zhao and Chengqing Zong. Synchronous Bidirectional Inference for Neural Sequence Generation. Artificial Intelligence, 281(2020)103234, pp.1-19.

Shaonan Wang, Jiajun Zhang, Haiyan Wang, Nan Lin and Chengqing Zong. Fine-grained Neural Decoding with Distributed Word Representations. Information Sciences, 507 (2020) 256–272.

Yang Zhao, Jiajun Zhang, Yu Zhou and Chengqing Zong. Knowledge Graphs Enhanced Neural Machine Translation. In Proc. of IJCAI 2020.

Junnan Zhu, Yu Zhou, Jiajun Zhang and Chengqing Zong. Attend, Translate and Summarize: An Efficient Method for Neural Cross-Lingual Summarization. In Proc. of ACL 2020.

Yuchen Liu, Jiajun Zhang, Hao Xiong, Long Zhou, Zhongjun He, Hua Wu, Haifeng Wang and Chengqing Zong. Synchronous Speech Recognition and Speech-to-Text Translation with Interactive Decoding. In Proc. of AAAI 2020.

Shaonan Wang, Jiajun Zhang, Nan Lin and Chengqing Zong. Probing Brain Activation Patterns by Dissociating Semantics and Syntax in Sentences. In Proc. of AAAI 2020.

Junnan Zhu, Yu Zhou, Jiajun Zhang, Haoran Li, Chengqing Zong and Changliang Li. Multimodal Summarization with Guidance of Multimodal Reference. In Proc. of AAAI 2020.

Haoran Li, Junnan Zhu, Jiajun Zhang, Chengqing Zong and Xiaodong He. Keywords-Guided Abstractive Sentence Summarization. In Proc. of AAAI 2020.

Awards:

Best Paper Award: PACLIC-2009, NLPCC-2012, CWMT-2014, NLPCC-2017, CCMT-2019;

Qian Weichang Chinese Information Porcessing Science and Technology Award, 2014, First Prize

Outstanding Reviewer: ACL-IJCNLP-2015, NAACL-2018;

Outstanding Senior Program Committee (SPC): IJCAI-2018;

Young Elite Scientists Sponsorship Program by CAST (2015)

Youth Innovation Promotion Association Chinese Academy of Sciences (2017)

CIPS Hanvon Youngth Innovation Award, 2018;

Beijing Science and Technology Progress Award, 2020, First Prize;

NSFC Excellent Young Scientists Fund, 2021;



Research Activity :

Senior Program Committee: AAAI (2019-2022).

Senior Program Committee: IJCAI (2017-2022)

Senior Area Chair: ACL-2021, EMNLP-2022, AACL-2022.

Area Chair: ACL-2020, EMNLP-2021, EMNLP-2019, COLING-2022, COLING-2020, COLING-2018.

PC Co-Chair: CWMT-2018.

Demo Co-Chair: NLPCC 2014; Area Co-Chair: NLPCC-2020, NLPCC-2017.

Program Committee: ACL (2014, 2015, 2017, 2018, 2019), EMNLP (2015-2018), NAACL (2016-2019), COLING (2014-2018), IJCAI (2013, 2015, 2017, 2018), AAAI(2017-2019), NLPCC (2012-2017), PACLIC (2011-2017), IALP (2013-2017), CWMT (2009-2017).

Editorial Board: Machine Translation.

Journal Reviewer: IEEE TPAMI, IEEE/ACM TASLP, IEEE TC, IEEE TNNLS, ACM TALLIP, IEEE TKDE.