I received my Ph.D. degree from Singapore University of Technology and Design in Sept. 2020. My advisor is Prof. Wei Lu. I am quite interested in natural language processing, machine learning and deep learning. Grounding research progresses into practical applications makes me excited.
I am on twitter.

Experience:

  • Sept. 2020 - Now, Applied & Research Scientist (DMT Programme) at JD.com
    Recommendation & NLP
  • May. 2020 - Aug. 2020, Applied Scientist Intern at Amazon AWS (Seattle, US)
    Low-resource NLP
  • Jun. 2019 - Feb. 2020, Research Intern at Microsoft Research Asia
    Document summarization with Dr. Xingxing Zhang
  • Dec. 2018 - May 2019, Visiting Scholar at Peking University
    Knowledge graph completion with Prof. Xu Sun
  • Mar. 2017 - Present, Research assistant at Singapore University of Technology and Design
    Natural Language Processing with Prof. Wei Lu
  • Sept. 2015 -Feb. 2017, Research assistant at Singapore University of Technology and Design
    Data Integration with Prof. Meihui Zhang

Press Coverage of My Work:


Publications:

  • [18] An Industrial Framework for Personalized Serendipitous Recommendation in E-commerce.
  • Zongyi Wang, Yanyan Zou, Linfang Hou, Anyu Dai, Nan Qiao, Luobao Zou, Mian Ma, Zhuoye Ding, Sulong Xu. Recsys 2023.
    [paper]

  • [17] Automatic Product Copywriting for E-Commerce.
  • Yanyan Zou, Xueying Zhang, Jing Zhou, Shiliang Diao, Jiajia Chen, Zhuoye Ding, Zhen He, Xueqi He, Yun Xiao, Bo Long, Mian Ma, Sulong Xu, Han Yu, Lingfei Wu. AI Magazine 2023.
    [paper]

  • [16] Automatic Scene-based Topic Channel Construction System for E-Commerce.
  • Peng Lin*, Yanyan Zou*#, Lingfei Wu, Mian Ma, Zhuoye Ding, Bo Long. EMNLP 2022. (* refers to equal contribution, # refers to corresponding author.)
    [paper]

  • [15] Summarizing Dialogues with Negative Cues.
  • Junpeng Liu*, Yanyan Zou*#, Yuxuan Xi, Shengjie Li, Mian Ma, Zhuoye Ding, Bo Long. COLING 2022. (* refers to equal contribution, # refers to corresponding author.)
    [paper]

  • [14] Negative Guided Abstractive Dialogue Summarization.
  • Junpeng Liu*, Yanyan Zou*#, Yuxuan Xi, Shengjie Li, Mian Ma, Zhuoye Ding, Bo Long. INTERSPEECH 2022. (* refers to equal contribution, # refers to corresponding author.)
    [paper]

  • [13] Interactive Latent Knowledge Selection for E-Commerce Product Copywriting Generation.
  • Zeming Wang, Yanyan Zou#,, Yuejian Fang, Hongshen Chen, Mian Ma, Zhuoye Ding, Bo Long. ACL-ECNLP 2022. (# refers to corresponding author.)
    [paper]

  • [12] Automatic Product Copywriting for E-Commerce.
  • Yanyan Zou*, Xueying Zhang*, Hainan Zhang, Jing Zhou, Shiliang Diao, Jiajia Chen, Zhuoye Ding, Zhen He, Xueqi He, Yun Xiao, Bo Long, Han Yu, Lingfei Wu. AAAI/IAAI 2022. (* refers to equal contribution.)
    [paper]

  • [11] Topic-Aware Contrastive Learning for Abstractive Dialogue Summarization.
  • Junpeng Liu, Yanyan Zou#, Hainan Zhang, Hongshen Chen, Zhuoye Ding, Caixia Yuan and Xiaojie WANG. EMNLP 2021. (# refers to corresponding author.)
    [arxiv]

  • [10] FCM: A Fine-grained Comparison Model for Multi-turn Dialogue Reasoning.
  • Xu Wang, Hainan Zhang, Shuai Zhao, Yanyan Zou, Hongshen Chen, Zhuoye Ding, Bo Cheng and Yanyan Lan. EMNLP 2021.

  • [9] Adaptive Bridge between Training and Inference for Dialogue Generation.
  • Haoran Xu, Hainan Zhang, Yanyan Zou, Hongshen Chen, Zhuoye Ding and Yanyan Lan. EMNLP 2021.

  • [8] Pre-training for Abstractive Document Summarization by Reinstating Source Text.
  • Yanyan Zou, Xingxing Zhang, Wei Lu, Furu Wei, and Ming Zhou. EMNLP 2020.
    [paper]

  • [7] Text2Math: End-to-end Parsing Text into Math Expressions.
  • Yanyan Zou and Wei Lu. EMNLP 2019.
    [paper][supp][code]

  • [6] Aligning Cross-lingual Entities with Multi-Aspect Information.
  • Yanyan Zou*, Hsiu-Wei Yang*, Peng Shi*, Wei Lu, Jimmy Lin and Xu Sun. EMNLP 2019. (* refers to equal contribution.)
    [paper][code]

  • [5] Incorporating Fine-grained Events in Stock Movement Prediction.
  • Deli Chen, Yanyan Zou, Xuancheng Ren, Ruihan Bao, Keiko Harimoto and Xu Sun. EMNLP-ECONLP 2019.
    [arxiv]

  • [4] Quantity Tagger: A Latent-Variable Sequence Labeling Approach to Solving Addition-Subtraction Word Problems.
  • Yanyan Zou and Wei Lu. ACL 2019.
    [paper][supp][code]

  • [3] Joint Detection and Location of English Puns.
  • Yanyan Zou and Wei Lu. NAACL 2019.
    [paper][code]

  • [2] Learning Cross-lingual Distributed Logical Representations for Semantic Parsing.
  • Yanyan Zou and Wei Lu. ACL 2018.
    [paper][code][slides]

  • [1] CLTR: Collectively Linking Temporal Records Across Heterogeneous Sources.
  • Yanyan Zou and Kasun S. Perera. DASFAA 2017.
    [paper]

    Awards and Honors:

    • IAAI ‘Innovative Application’ Award by AAAI 2022 with accepted paper "Automatic Product Copywriting for E-Commerce"
    • SUTD President's Graduate Fellowship, SUTD, Singapore, 2015-2020
    • Outstanding Student (1st-class), XMU, P.R.China, 2015,2014,2013,2012
    • Outstanding Graduate Student (1st-class), XMU, P.R.China, 2015
    • Excellent Student Scholarship (top 5% students), XMU, P.R.China, 2015
    • National Scholarship (top 5% students), Ministry of Education of P.R.China, 2014
    • Honorable Mention, Mathematical Contest in Modeling, USA, 2014
    • 1st prize, Fujian, Natioanl Mathematical Modeling Contest, P.R.China, 2013
    • National Motivational Scholarship (top 5% students), Ministry of Education of P.R.China, 2013,2012

    Academic Service and Teaching:

    • PC&Reviewer: EMNLP, ACL, NAACL, AAAI, IJCAI, NLPCC, NeroComputing
    • 2017: Teaching assistant for 50.034 Introduction to Probability and Statistics (UG Course), SUTD, with Prof. Alexander Binder and Dr. Subhajit Datta
    • 2016: Teaching assistant for 50.008 Database(UG Course), SUTD, with Prof. Meihui Zhang