Biography

I’m a PhD student in the Spoken Language Systems Group at MIT CSAIL, working with Dr. James Glass.

I am currently working on conversational AI, including but not limited to language understanding, question answering, information retrieval and extraction. I’m generally interested in machine learning for NLP and improving NLP agents' reasoning and logical capabilities. Previously I have worked on various projects on language and speech, including temporal relation extraction, automatic fact-checking, and end-to-end speech synthesis.

During my undergrad studies at National Taiwan University (NTU), I researched on speech and language understanding under Prof. Hung-Yi Lee and Prof. Lin-Shan Lee, and worked on machine learning problems for computer vision under Prof. Yu-Chiang Frank Wang at Academia Sinica/NTU. I also interned twice with the NLP team at Apple in California.

Here is my Curriculum Vitae (updated Nov 2022).

Interests

  • Natural Language Processing
  • Speech Processing
  • Machine Learning

Education

  • PhD Student in EECS, 2018 - Present

    Massachusetts Institute of Technology

  • BSE in Electrical Engineering, 2013 - 2018

    National Taiwan University

Experience

 
 
 
 
 

PhD Student

MIT CSAIL

Sep 2018 – Present Cambridge, MA, USA
Research Assistant in Spoken Language Systems group
 
 
 
 
 

NLP Intern

Apple Inc

Jul 2018 – Aug 2018 Cupertino, CA, USA
Research internship on NLP Team
 
 
 
 
 

NLP Intern

Apple Inc

Jun 2017 – Sep 2017 Cupertino, CA, USA
Research internship on NLP Team
 
 
 
 
 

Undergraduate Student

National Taiwan University (NTU)

Sep 2013 – Jan 2018 Taipei, Taiwan
  • Major in Electrical Engineering
  • Undergraduate Researcher in Speech Processing & Machine Learning Lab
  • Undergraduate Researcher in Vision & Learning Lab
  • Teaching Assistant for Machine Learning, Data Analytics & Modeling, and Signal & Systems

Publications

Wei Fang , James Glass (2021). Cross-Document Temporal Relation Extraction with Temporal Anchoring Events. Preprint.

PDF

Wei Fang (2021). On End-to-end Automatic Fact-checking Systems. S.M. Thesis.

PDF

Wei Fang , Moin Nadeem , Mitra Mohtarami , James Glass (2019). Neural Multi-Task Learning for Stance Prediction. EMNLP-IJCNLP FEVER Workshop.

Project DOI

Wei Fang , Yu-An Chung , James Glass (2019). Towards Transfer Learning for End-to-End Speech Synthesis from Deep Pre-Trained Language Models. Technical Report.

PDF

Chia-Hsuan Lee , Hung-Yi Lee , Szu-Lin Wu , Chi-Liang Liu , Wei Fang , Jui-Yang Hsu , Bo-Hsiang Tseng (2019). Machine Comprehension of Spoken Content: TOEFL Listening Test and Spoken SQuAD. TASLP.

Project DOI

Moin Nadeem , Wei Fang , Brian Xu , Mitra Mohtarami , James Glass (2019). FAKTA: An Automatic End-to-End Fact Checking System. NAACL (demo).

Preprint Project DOI

Chung-Wei Lee , Wei Fang , Chih-Kuan Yeh , Yu-Chiang Frank Wang (2018). Multi-Label Zero-Shot Learning with Structured Knowledge Graphs. CVPR.

Preprint Project Poster DOI

Wei Fang , Jui-Yang Hsu , Hung-Yi Lee , Lin-Shan Lee (2016). Hierarchical Attention Model for Improved Machine Comprehension of Spoken Content. SLT.

Preprint Code Dataset Project Poster DOI

Projects

.js-id-deep-learning
Machine Learning Other Projects

Automatic Fact Checking

With the rapid increase of fake news in social media and its negative influence on people and public opinion, we present FAKTA, an unified framework for automatic fact checking that predicts the factuality of given claims and provides evidence at the document and sentence level to explain its predictions.

Multi-Label ZSL with Knowledge Graphs

Inspired by the way humans utilize semantic knowledge between objects of interests, we propose a novel deep learning framework that incorporates knowledge graphs for describing the relationships between multiple labels to achieve multi-label zero-shot learning (ML-ZSL).

Modular Chatbot

We built a modular dialogue system with deep learning techniques for the task of assisting people in department stores.

QA for TOEFL Listening Comprehension

Here is a short talk I gave on SPMLLab’s recent work on speech question answering in .

MasterView (VR System)

At the 2016 HackNTU Hackathon, our team developed MasterView, a virtual reality system that shows the expert’s moves in first-person perspective so the user can imitate and practice.

Slither.AR (AR Game)

Using common and well-known development tools, we transform slither.io, a game based on ‘Snake’, into an interactive augmented-reality game.

Large Scale Equivalence Checking and Functional Correction

In the 2015 CAD Contest, we developed a system to identify equivalent cuts in both equivalent and nonequivalent circuits for design partitioning.

Contact

  • weifang@mit.edu
  • Stata Center 32-G436, 32 Vassar St, Cambridge, MA, 02139, United States