Kaili Huang

Microsoft Applied Scientist. Stanford CS. LinkedIn. Email.



CA 94305

Hi! I’m an enthusiastic machine learning engineer and researcher. My interests broadly include machine learning, deep learning, natural language processing, multi-modality modeling, information retrieval, question answering, dialog systems, knowledge graphs, etc.

I’m working at Microsoft as an Applied Scientist, where I work on natural language processing and multi-modality modeling. I graduated from Stanford University with a master’s degree in Computer Science. Before attending Stanford, I received my bachelor’s degree from Tsinghua University, and then worked at ByteDance as a Machine Learning Engineer for 1 year.

I’m happy to connect on Linkedin!

Selected Publications

  1. NLPCC
    A Large-Scale Chinese Short-Text Conversation Dataset
    Wang, Yida, Ke, Pei, Zheng, Yinhe,  Huang, Kaili, Jiang, Yong, Zhu, Xiaoyan, and Huang, Minlie
    In Natural Language Processing and Chinese Computing (NLPCC), 2020
  2. TACL
    CrossWOZ: A Large-Scale Chinese Cross-Domain Task-Oriented Dialogue Dataset
    Zhu, Qi,  Huang, Kaili, Zhang, Zheng, Zhu, Xiaoyan, and Huang, Minlie
    Transactions of the Association for Computational Linguistics (TACL), 2020
  3. ACL
    KdConv: A Chinese Multi-domain Dialogue Dataset Towards Multi-turn Knowledge-driven Conversation
    Zhou, Hao, Zheng, Chujie,  Huang, KailiHuang, Minlie, and Zhu, Xiaoyan
    In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (ACL), Jul 2020