Kaili Huang

Microsoft Applied Scientist. Stanford CS. LinkedIn. Email.

prof_pic.jpg

Stanford

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