Avatar

Steeve Huang

Co-Founder & CTO, Rosetta.ai

Research Assistant & MSc in CS,

University of Southern California

Biography

Steeve Huang (Kung-Hsiang) is a graduate student and a research assistant at the Information Sciences Institue, University of Southern California under the supervision of Dr. Nanyun Peng. His research interest is knowledge-enhanced event extraction and temporal reasoning in the biomedical domain. In addition, he is the Chief Technology Officer of Rosetta.ai, in charge of the core Deep Learning-based recommender system that empowers our clients with over millions of online shoppers.

Interests

  • Information Extraction
  • Knowledge Reasoning
  • Structured Prediction
  • Graph Neural Networks

Education

  • MSc in Computer Science, 2020 -

    University of Southern California

  • BEng in Computer Science, 2014 - 2018

    Hong Kong University of Science and Technlogy

  • Exchange Program, 2016

    Georgia Institute of Technology

Experience

 
 
 
 
 

Research Assistant

Information Sciences Institute

Jan 2020 – Present California, United States
 
 
 
 
 

Co-Founder & CTO

Rosetta.ai

Aug 2018 – Present Taipei, Taiwan
 
 
 
 
 

Machine Learning Engineer

Industrial Technology Research Institute

May 2018 – Aug 2018 Hsinchu, Taiwan
 
 
 
 
 

Junior Data Scientist

Emos.ai

Feb 2018 – May 2016 Hong Kong

Recent Publications

Biomedical Event Extraction on Graph Edge-conditioned Attention Networks with Hierarchical Knowledge Graphs
EMNLP 2020 (Short-Findings)
PDF Code
A-HA: A Hybrid Approach for Hotel Recommendation
RecSys Challenge Workshop 2019
PDF Code

Awards

Dean’s Scholarship

University of Southern California Jan 2020
Merit-based scholarship issued on admission.

4th Place, 2019 ACM RecSys Challenge

ACM RecSys, Trivago Jul 2019
Build session-based, context-aware recommender systems for hotel metasearch.

Silver Medal, The 2nd YouTube-8M Video Understanding Challenge

Kaggle Aug 2018
Build a compact (< 1GB) video classification model for video understanding.

Competitions Master

Kaggle Jun 2018

Silver Medal, Avito Demand Prediction Challenge

Kaggle Jun 2018
Predict the demand for an online advertisement based on natural language metadata and context.

Bronze Medal, TalkingData AdTracking Fraud Detection Challenge

Kaggle May 2018
Detect fraudulent click traffic for mobile app ads.

Final List, IT Challenge

ATOS Apr 2018
Create an innovative Chatbot solution.

Bronze Medal, 2018 Data Science Bowl

Kaggle Apr 2018
Create a model to identify the nuclei from an image, evaluated at the pixel-level.

Gold Medal, Toxic Comment Classification Challenge

Kaggle Mar 2018
Build multi-headed models that’s capable of detecting different types of of toxicity like threats, obscenity, insults, and identity-based hate.

Bronze Medal, Recruit Restaurant Visitor Forecasting

Kaggle Feb 2018
Construct a regression model for predicting the number of visitors a restaurant will receive.

Silver Medal, Statoil/C-CORE Iceberg Classifier Challenge

Kaggle Jan 2018
Build a classifier to distinuish between ship and iceberg from remotely shot images.

First Place, Smart City in Hong Kong

DC Holdings Dec 2017

Second Place, Public Welfare Datathon (公益数据骇客马拉松)

IBM Sep 2017

First Runner-up, Imagine Cup Hong Kong Final

Microsoft May 2017

Reaching Out Award Scholarship

Hong Kong University of Science and Technology Mar 2017

Dean’s List

Hong Kong University of Science and Technology Dec 2015

University Full Scholarship

Hong Kong University of Science and Technology Mar 2014

Recent Posts

*

A Gentle Introduction to Graph Neural Networks (Basics, DeepWalk, and GraphSage)

Hands-on Graph Neural Networks with PyTorch & PyTorch Geometric