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Steeve Huang

CS PhD candidate, UIUC

Biography

Kung-Hsiang (Steeve) Huang is a PhD candidate and an Amazon Fellow at the University of Illinois Urbana-Champaign. He is part of the BLENDER Lab, led by Professor Heng Ji. His research goal is to reduce false information around the world. To achieve this goal, he works towards three main research directions: fact-checking, fake news detection, and improving faithfulness for text generation models. Prior to joining UIUC, he obtained his master’s degree from the University of Southern California, where he was advised by Professor Nanyun Peng. Steeve earned his bachelor’s degree at the Hong Kong University of Science and Technology. In addition, he was a co-founder of Rosetta.ai, in charge of the core Deep Learning-based recommender system that empowers our clients with millions of online shoppers.

Interests

  • Fact-checking
  • Fake News Detection
  • Faithfulness

Education

  • PhD in Computer Science, 2021 - 2024

    University of Illinois at Urbana-Champaign

  • MSc in Computer Science, 2020 - 2021

    University of Southern California

  • BEng in Computer Science, 2014 - 2018

    Hong Kong University of Science and Technlogy

  • Exchange Program, 2016

    Georgia Institute of Technology

Recent News

  • [Mar 2024] Two papers (paper 1, paper 2) accepted by NAACL 2024!
  • [Feb 2024] Serve as an Action Editor/ Area Chair for ARR Feb cycle (ACL 2024).
  • [Sep 2023] Selected as an Amazon Fellow at the Amazon-Illinois Center!
  • [May 2023] Two papers (paper 1, paper 2) accepted by ACL 2023!
  • [Jan 2023] One paper accepted by EACL 2023 (Findings)!
  • [Nov 2022] Gave a tutorial at AACL 2022!
  • [Aug 2022] One paper accepted by COLING 2022!
  • [Aug 2022] Gave a tutorial at KDD 2022!

Experience

 
 
 
 
 

Research Intern

Salesforce

May 2023 – Aug 2023 CA, United States
 
 
 
 
 

Applied Scientist Intern

Amazon

May 2022 – Aug 2022 NY, United States
 
 
 
 
 

Research Assistant

University of Illinois at Urbana-Champaign

Aug 2021 – Present IL, United States
 
 
 
 
 

Research Assistant

Information Sciences Institute

Jan 2020 – Jul 2021 CA, United States
 
 
 
 
 

Chief Technology Officer

Rosetta.ai

Aug 2018 – Aug 2021 Taipei, Taiwan

Recent Publications

From Pixels to Insights: A Survey on Automatic Chart Understanding in the Era of Large Foundation Models
Can LLMs Produce Faithful Explanations For Fact-checking? Towards Faithful Explainable Fact-Checking via Multi-Agent Debate
Do LVLMs Understand Charts? Analyzing and Correcting Factual Errors in Chart Captioning
AMRFact: Enhancing Summarization Factuality Evaluation with AMR-driven Training Data Generation
Embrace Divergence for Richer Insights: A Multi-document Summarization Benchmark and a Case Study on Summarizing Diverse Information from News Articles

Awards

Amazon Fellowship

2023 Amazon Fellow at the Amazon-Illinois Center on AI for Interactive Conversational Experiences (AICE)

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