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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
A-HA: A Hybrid Approach for Hotel Recommendation

Awards

Dean’s Scholarship

Merit-based scholarship issued on admission.

4th Place, 2019 ACM RecSys Challenge

Build session-based, context-aware recommender systems for hotel metasearch.

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

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

Competitions Master

Silver Medal, Avito Demand Prediction Challenge

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

Bronze Medal, TalkingData AdTracking Fraud Detection Challenge

Detect fraudulent click traffic for mobile app ads.

Final List, IT Challenge

Create an innovative Chatbot solution.

Bronze Medal, 2018 Data Science Bowl

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

Gold Medal, Toxic Comment Classification Challenge

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

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

Silver Medal, Statoil/C-CORE Iceberg Classifier Challenge

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

First Place, Smart City in Hong Kong

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

First Runner-up, Imagine Cup Hong Kong Final

Reaching Out Award Scholarship

University Full Scholarship