Yue Zhang

Phone: +86 571 87381107
Email: yue.zhang@wias.org.cn

Research Tutorials

  • 2021. Yue Zhang. Graph Neural Networks in NLP. ADL, Chinese Computer Federation (CCF)
  • 2019. Yue Zhang. Graph Neural Networks in NLP. ATT14, Chinese Information Processing Society of China (CIPS)
  • 2018. Yue Zhang. Joint Models in NLP. The Empirical Methods on Natural Language Processing (EMNLP). [PDF], [PPTX]
  • 2018. Yue Zhang. Joint Models for NLP. The Seventh CCF International Conference on Natural Language Processing and Chinese Computing(NLPCC). [PDF], [PPTX]
  • 2017. Wanxiang Che and Yue Zhang. Deep Learning for Syntactic and Semantic Analysis. The International Joint Conference on Natural Language Processing (IJCNLP).[PPTX]
  • 2017. Yue Zhang. Joint Models for NLP. The China National Conference on Computational Linguistics (CCL).
  • 2016. Yue Zhang and Duy-Tin Vo. Neural Network for Sentiment Analysis. A conference tutorial at Empirical Methods for Natural Language Processing (EMNLP).[PDF]
  • 2016. Wanxiang Che and Yue Zhang. Deep Learning for Syntactic and Semantic Analysis. A conference tutorial at China Conference on Computational Linguistics (CCL).
  • 2014. Yue Zhang , Meishan Zhang, and Ting Liu. Syntactic Processing Using Global Discriminative Learning and Beam-Search Decoding. A conference tutorial at the 52nd Annual Meeting of the Association for Computational Linguistics (ACL). Baltimore, USA, June.
  • 2010. Qin Iris Wang and Yue Zhang. Recent Advances in DependencyParsing. A conference tutorial at Human Language Technologies: The 11th Annual Conference ofthe North American Chapter of the Association for Computational Linguistics (HLT:NAACL).

Invited Talks and Consultancy

  • 2021. Keynote at IALP on Challenges in NLP.
  • 2021. Invited talk to Tianjin University on Challenges in NLP.
  • 2021. Keynote at PACLIC on Document-Level NLP.
  • 2021. Invited talk to Alibaba Inc. on Text Summarization.
  • 2021. Invited talk to Zhejiang Lab on Text Summarization.
  • 2021. Invited talk to Tencent Inc.on Beyond Words — Commonsense Reasoning in Language Understanding.
  • 2021. Invited talk to Oxford ML Summer School on Challenges in NLP.
  • 2021. Keynote at CAAI on Open-domain Dialogue.
  • 2021. Keynote at YSSNLP on Compositional Generalization of Machine Translation.
  • 2021. Invited talk to CCF-NLP Seminar Series on Text Summarization.
  • 2021. Invited talk to Zhejiang University on Text Summarization.
  • 2021. Invited talk to Frontiers of Natural Languge Generation, Harbin Institue of Technology on Machine Translation
  • 2021. Invited talk to Institute of Automation, CAS on Semantic Representation for Dialogue Modeling.
  • 2021. Invited talk to Institute of Software, CAS on The Bottleneck of NLP.
  • 2020. Keynote at CTC on Beyond Words — Commonsense Reasoning in Language Understanding.
  • 2020. Chair at COLING2020 PANEL2 On The Generalization of NLP Models – Ways Around Data Hunger .
  • 2020. Keynote at COLING2020 WS-MSR on AMR to Text Generation - A Brief Review And A Case Study Using Back-parsing .
  • 2020. Keynote at CAAI Industry Forum on The Bottleneck of NLP Fundamental Tasks in NLP.
  • 2019. Invited talk to Zhejiang Gongshang University on Fundamental Tasks in NLP And Their Applications on Finance.
  • 2019. Invited talk to Hundsun Technologies Inc. on Natural Language Processing And Computational Financial Research.
  • 2019. Invited talk to Technische Universit ̈at Darmstadt on Graph Neural Networks in NLP.
  • 2019. Invited talk to HSBC open day on Sep on NLP and financial markets.
  • 2019. Invited talk to CIPS Summer School on Advanced Technology Tutorial on Graph neural networks in NLP.
  • 2019. Keynote at CCF Social Media Program on Cross-domain sentiment analysis.
  • 2019. Local chair to NiuTrans Machine Translation workshop.
  • 2019. Invited attendance to Dagstuhl seminar
  • 2018. Invited talk to Uppsala University on Graph Recurrent Neural Networks.
  • 2018. Invited talk to Harbin Institute of Technology on Graph Recurrent Neural Networks.
  • 2018. Invited talk to Guangdong University of Foreign Studies on Graph Recurrent Neural Networks.
  • 2018. Invited talk to Chengdu Machine Translation Forum on Graph Recurrent Neural Networks.
  • 2018. Invited talk to Beijing Language and Culture University on Consituent Parsing.
  • 2018. Invited talk to Rxhui.com on Chinese Parsing.
  • 2017. Invited talk to Jinritoutiao Ltd on Deep Learning for parsing.
  • 2017. Invited talk to Alibaba Group on deep learning for NLP.
  • 2017. Invited talk to Tsinghua University on deep learning for parsing.
  • 2017. Invited talk to Harbin Institute of Technology, Xiamen University and Zhengzhou University on deep learning for parsing.
  • 2017. Invited talk to Soochow University on deep learning using heterogeneous data.
  • 2017. Invited talk to Chinese Academia of Sciences (Automaton institute) on Chinese lexical syntactic analysis.
  • 2017. Invited talk to A-STAR on deep learning for parsing.
  • 2017. Invited talk to Singapore Deep Learning for Finance Summit on using deep learning for predicting USA stock markets.
  • 2016. Invited talk to Deep Learning Summit Singapore on sentiment analysis.
  • 2016. Invited talk to SmartConnected.World and ICEC 2016, Suwon, Korea on keep learning.
  • 2016. Invited talk to Heilongjiang University (China) on stock market prediction.
  • 2016. Invited talk to National University of Singapore on deep learning for parsing.
  • 2016. Invited talk to University of Berkeley for neural network structured prediction.
  • 2016. Invited talk to University of South California, Information Science Institute for neural network structured prediction.
  • 2016. Invited talk to Singapore Actuary Society on text mining.
  • 2016. Invited talk to Zhengzhou University (China) on Chinese syntactic parsing.
  • 2015. Invited talk National University of Singapore, School of Computing, on deep learning for stock market prediction.
  • 2015. Yue Zhang. Deep learning for stock market prediction. An invited talk to ADSM Deep learning workshop, Singapore.
  • 2015. Invited talk to Harbin Institute of Technology on deep learning for parsing.
  • 2015. Invited talk to Leshan Normal University (China) on stock market prediction.
  • 2015. Invited talk to Chinese Academy of Sciences on stock market prediction.
  • 2015. Invited talk to Global Innovators Forum on Technology and Society, Harbin, China, on text mining.
  • 2015. Invited talks to Soochow University (China) on stock market prediction and deep learning methods for POS tagging.
  • 2014. Yue Zhang. Statistical Machine Translation Using Text Generation. An invited talk to Singapore NLP research workshop 2014.
  • 2014. Invited talk to Tsinghua University (China) on CCG parsing.
  • 2014. Yue Zhang. Syntactic machine translation based on discriminative text synthesis. An invited talk to ADSM NLP workshop, Singapore.
  • 2014. Invited talk to Nanjing University (China) on stock market predication.
  • 2014. Invited talk to Harbin Instatute of Technology (China) on deep learning.
  • 2014. Invited talk to Ludong University (China) on statistical machine translation.
  • 2014. Invited talks to Universitat Pompeu Fabra (Spain) on statistical text generation.
  • 2014. Invited talks to University of A Coruna (Spain), Chinese Academy of Sciences (Institute of Computing Technology), Peking University (China) and Tsinghua University (China) on Chinese syntactic analysis.
  • 2013. Yue Zhang. Semantics Based Statistical Machine Translationand Partial Tree Linearization. An invited talk to Chinese Workshop of Machine Translation (CWMT).
  • 2013. Invited talks to Tsinghua University (China) and Northeast University (China) on dependency parsing.
  • 2013. Invited talks to the Chinese Academy of Sciences (Institute of Automation), Baidu Inc (China) and Harbin Institute of Technology on word ordering.
  • 2012. Invited talk to the Institute of Infocomm Research (Singapore) on CCG parsing.
  • 2011. Stephen Clark and Yue Zhang. Surprisingly Efficient Parsing for a Wide-Coverage Lexicalised-Grammar Parser. Cambridge NLIP seminar.
  • 2010. Invited talk at Uppsala University (Sweden) on dependency parsing.
  • 2009. Invited talk to the NLIP group seminar, University of Cambridge on dependency parsing.
  • 2008. Invited talk to the School of Informatics (ICCS), University of Edinburgh on dependency parsing.
  • 2008. Consultancy for Sharp Research Europe Ltd. on word segmentation.

Research grants

  • PI. Industry Grant. Sponsor: Tencent Inc. Frontiers on the applications of natural language understanding and generation. Jul 2021 – Jul 2022
  • Collaborator. Singapore MOE Tier3 grant. The Science of Certified AI. Jul 2021 – Jun 2026
  • PI. Industry Grant. Sponsor: Xinhua News Agency. Research on stance detection in news domain. Jun 2021 – Jun 2022
  • PI. Industry Grant. Sponsor: Tencent Inc. Research on general dialogue state tracking. Apr 2021 – Dec 2022
  • PI. Industry Grant. Sponsor: Hangzhou Feizhu Inc. Research on labeling videos and excersices. Mar 2021 – Mar 2022
  • PI. Industry Grant. Sponsor: Alibaba Damo Inc. Research on open-domain text information extraction. Jun 2020 – Jun 2021
  • PI. Industry Grant. Sponsor: Lan-bridge Inc. Research on Lan-bridge machine translation system. Sep 2020 – Aug 2023
  • PI. Industry Grant. Sponsor: Tencent Inc. Research on semantic generation technologies for dialogue system. Jun 2020 – Mar 2021
  • PI. NSFC Grant. Knowledge extraction and fusion for cross-domain constituent parsing. Jan 2020 -- Dec 2023
  • PI. Industry Grant. Natural language processing and its application on text generation. Jul 2019 -- Jul 2020
  • PI. Industry Grant. NTeiwen entity extraction and machine translation system. Oct 2018 – Oct 2019
  • PI. Industry Grant. Text intelligence research for china capital market. Sep 2018 – Aug 2019
  • PI. Industry Grant. Capital Market and Unstructured Data. Mar 2017 – Feb 2018
  • Co-PI. SUTD-STE corporate lab project 1 (Big data analysis) and project 3 (Malicious insider detection). Sep 2016 – Sep 2019
  • PI. Temasek Laboratory seed grant. Deep learning for Singlish parsing. Aug 2016 – Aug 2017
  • PI for WP2. MINDEF grant. Cross-functional information systems for decision making. Dec 2014 - Dec 2017
  • PI. Singapore MOE Tier2 grant. Statistical machine translation by syntactic transfer. Jun 2013 - Jun 2016
  • PI. SUTD startup research grant. Statistical parsing and machine translation. Jul 2012 - Jul 2015

Students

  • Sep. 2021 – . PhD advisor of Fang Guo (Westlake University).
  • Sep. 2021 – . PhD advisor of Qingkai Min (Westlake University).
  • Sep. 2020 – . PhD advisor of Yun Luo (Westlake University).
  • Sep. 2020 – . PhD advisor of Yongjing Yin (Westlake University).
  • Sep. 2020 – . PhD advisor of Yafu Li (Westlake University).
  • Sep. 2020 – . PhD Co-advisor of Sixuan Wu (Westlake University).
  • Sep. 2020 – . PhD Co-advisor of Yaoxian Song (Westlake University).
  • Sep. 2019 - . PhD advisor of Yulong Chen (Westlake University).
  • Sep. 2019 - . PhD advisor of Cunxiang Wang (Westlake University).
  • Sep. 2019 - . PhD advisor of Xuefeng Bai (Westlake University).
  • Sep. 2018 - . PhD advisor of Leyang Cui (Westlake University).
  • Sep. 2018 - . PhD advisor of Qiankun Fu(Westlake University).
  • Sep. 2018 - . PhD advisor of Yile Wang (Westlake University).
  • Sep. 2018 - . PhD advisor of Hanmeng Liu (Westlake University).
  • Sep. 2018 - . PhD advisor of Jian Liu (Westlake University).
  • Sep. 2018 - . PhD advisor of Chen Jia (Westlake University).
  • Jan. 2017 - . PhD advisor of Lu Cao (SUTD).
  • Sep. 2016 - . PhD advisor of Gary Goh (SUTD).
  • Sep. 2015 - . PhD advisor of Fei Dong (SUTD).
  • Jan. 2015 - . PhD advisor of Shuailong Liang (SUTD).
  • Jan. 2015 - . PhD advisor of Zhiyang Teng (SUTD).
  • Sep. 2014 - . PhD advisor of Jie Yang (SUTD).
  • Sep. 2014 - . PhD advisor of Thieu Ni Ni (SUTD).
  • Sep. 2013 - . PhD advisor of Vo Duy Tin (SUTD).
  • Jun. 2013 - . External PhD co-advisor of Cher Pei Hua (University of Queensland, Australia).
  • Sep. 2013 - Sep. 2014. MSc co-supervisor of Hussan Dugum (SUTD/MIT).

Alumni

    Post-doctors:
  • Zhongqing Wang, Feb. 2016 -- Jan. 2017; now at Soochow University, China
  • Thien Hai Nguyen, Feb.2016 -- Jan. 2017; now at Alibaba in Singapore
  • Chingyun Chang, Mar. 2015 - Feb. 2016; now at Amazon London, UK
  • Yafeng Ren, Sep. 2015 -- Sep. 2016; now at Guangdong University of Foreign Studies, China
  • Meishan Zhang, Nov. 2014 - Nov. 2015; now works as associated professor at Tianjin University, China
  • Likun Qiu, Jan. 2014 - Jan. 2015; now research fellow at Alibaba, China

    • RAs:
  • Yuze Gao, Oct. 2016 - Aug. 2018；now works as a research engineer at A-STAR*, Singapore
  • Yu Yuan, Aug. 2017 - Jun. 2018; now at Nanjing University of Information Science and Technology
  • Qi Liu, Mar. 2017 - Mar. 2018; now Ph.d candidate at University of Oxford
  • Homgmin Wang, Aug. 2016 – Aug. 2017; now Ph.d candidate at UCSB
  • Ratish Puduppully, Mar. 2017 – Sep. 2017; now Ph.d candidate at University of Edinburgh
  • Jiangming Liu, May. 2015 - Sep. 2017; now Ph.d candidate at University of Edinburgh
  • Hongshen Chen, Dec. 2015 – Jun. 2016; now at JD, China
  • Lin Li, Aug. 2015 -- Jan. 2016; now at Huawei, China
  • Yijia Liu, Nov. 2013 - Nov. 2014; now at Alibaba, China
  • Zhongye Jia, May. 2013 - Feb. 2014; Baosteel Central Research Institute, China

    • Graduated Phd Students:
  • Jie Yang, now Postdoc at Harford University, USA
  • Fei Dong, now works at Ebay Shanghai, China
  • Tin D. Vo, currently a data scientist at  Chata.ai., Canada
  • Zhiyang Teng , currently works as assistant researcher at Westlake University, China