Yao Ming (明遥)

Ph.D. Candidate in CSE @ HKUST
Researcher in Explainable Machine Learning + Visualization

I am a 3rd-year Ph.D. student in CSE, HKUST, working with Prof. Huamin Qu and the VisLab. My research interest lies in the intersection between Visualization and Machine Learning. I am passionate about making machine learning systems more transparent and explainable using visualization and interaction techniques.

Prior to HKUST, I received my B.S. in Civil Engineering with a minor in Economics from Tsinghua University in 2016. During my undergraduate, I found my interests in chorus, graphic design, and computer science.

I am on the job market! Seeking for full-time jobs and internships.


Featured Research

Explainable Machine Learning

1. Interpretable & Explainable Deep Learining
Interpretable and Steerable Sequence Learning via Prototypes
Yao Ming, Panpan Xu, Huamin Qu, Liu Ren.
KDD '19Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019 (Accepted for Oral Presentation).
    Understanding Hidden Memories of Recurrent Neural Networks
    Yao Ming, Shaozu Cao, Ruixiang Zhang, Zhen Li, Yuanzhe Chen, Yangqiu Song, Huamin Qu.
    VISIEEE Visualization Conference (VAST), 2017.
    2. ML Transparency & Explainable Machine Learning
    RuleMatrix: Visualizing and Understanding Classifiers using Rules
    Yao Ming, Huamin Qu, Enrico Bertini.
    TVCGIEEE Transactions on Visualization and Computer Graphics, 2018.
    ATMSeer: Increasing Transparency and Controllability in Automated Machine Learning
    Qianwen Wang, Yao Ming, Zhihua Jin, Qiaomu Shen, Dongyu Liu, Micah J. Smith, Kalyan Veeramachaneni, Huamin Qu.
    CHIProceedings of the SIGCHI Conference on Human Factors in Computing Systems, 2019 (to appear).
    A Survey on Visualization for Explainable Classifier
    Yao Ming, Huamin Qu (Supervisor).
    ManuascriptVisLab@HKUST, 2017.

    Research / Work Experience

    Aug 2016 - Present
    HKUST-WeChat Joint Lab on AI TechnologyHong Kong
    Lab Member
    Jun 2019 - Present
    Alibaba Damo AcademyHangzhou, China
    Research Intern (advised by Dr. Hongxia Yang)
    Aug 2018 - Dec 2018
    Robert Bosch LLCSunnyvale, CA
    Research Intern (advised by Dr. Panpan Xu), Human Machine Interaction Group
    Jan 2018 - Jun 2018
    New York UniversityNY
    Research Intern (advised by Prof. Enrico Bertini), VIDA Lab
    Aug 2015 - Sep 2015
    Carnegie Mellon UniversityPittsburg, PA
    Research Intern (advised by Dr. Xuesong Liu), Dept. of CEE
    Mar 2015 - Jul 2015
    Tsinghua UniversityBeijing, China
    Research Assistant (advised by Prof. Yong-Jin Liu), Dept. of Computer Science

    Honors and Awards

    2018Yelp Dataset Challenge Round 10 Grand Prize Award

    For "Understanding Hiddem Memories of Recurrent Neural Networks"

    2016 - 2020Hong Kong PhD Fellowship (HKPF)

    250 Fellowships awarded in all 8 Universities in Hong Kong each year .

    2016Outstanding Graduate of Beijing

    Awarded to graduates with outstanding academic performance of the universities at Beijing

    2015Nomination of Tsinghua Top Talent Scholarship

    Considered to be the most prestigious prize for outstanding students at Tsinghua.

    Around 50 students nominated from 3000+ students each year.

    2015National Endeavor Scholarship

    Awarded to students with top 2% academic performance each year.

    2015Second Prize in the 1st National Geotechnical Engineering Contest
    2015Honorable Mention in 2015 MCM/ICM
    20142nd Prize in the 20th Tsinghua Structure Design Competition

    Over 100 teams participated; 10 selected to go to final; 3 awarded the 2nd prize.

    2014National Scholarship

    Awarded to students with top 2% academic performance each year.

    2013First-class Comprehensive Scholarship of Tsinghua University