Yung-Sung Chuang (莊永松) How to pronounce?

Yung-Sung Chuang
Yung-Sung Chuang

MIT EECS PhD Student
Office: 32-G436

Hi! I'm a third-year PhD student in Electrical Engineering and Computer Science at Massachusetts Institute of Technology, where I work with Jim Glass.

My research interest broadly covers the deep learning technique for natural language processing and speech processing. In particular, I aim to utilize the ability of machines to help people grasp large information in text/audio form in efficient ways.

Previously, I was an undergraduate student in Electrical Engineering at National Taiwan University. I joined Speech Processing Lab supervised by Hung-Yi Lee and Lin-shan Lee, and Machine Intelligence Understanding Lab supervised by Yun-Nung (Vivian) Chen. I received the NTU Presidential Award for top 5% students four times in 2018-2020, Irving T. Ho Memorial Scholarship in 2018 and 2019. Here is my Curriculum Vitae.

Email: yungsung [AT] mit.edu

Links: [CV] [Twitter] [Github] [Google Scholar] [DBLP] [Blog] [Linkedin] [Instagram]

Recent News


Publications

2023

  • Natural Language Embedded Programs for Hybrid Language Symbolic Reasoning
    Tianhua Zhang, Jiaxin Ge, Hongyin Luo, Yung-Sung Chuang, Mingye Gao, Yuan Gong, Xixin Wu, Yoon Kim, Helen Meng, James Glass
    In arXiv preprint, 2023.
    [bib] [abstract] [pdf] [code]
  • DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models
    Yung-Sung Chuang, Yujia Xie, Hongyin Luo, Yoon Kim, James Glass, Pengcheng He
    In arXiv preprint, 2023.
    [bib] [abstract] [pdf] [code]
  • On Robustness-Accuracy Characterization of Large Language Models using Synthetic Datasets
    Ching-Yun Ko, Pin-Yu Chen, Payel Das, Yung-Sung Chuang, Luca Daniel
    In Workshop on Efficient Systems for Foundation Models@ ICML2023 , July 2023.
    [bib] [abstract] [pdf]
  • Revealing the Blind Spot of Sentence Encoder Evaluation by HEROS
    Cheng-Han Chiang, Yung-Sung Chuang, James Glass, Hung-yi Lee
    In Proceedings of the 8th Workshop on Representation Learning for NLP (RepL4NLP 2023) , 2023.
    [bib] [abstract] [pdf] [data]
  • Expand, Rerank, and Retrieve: Query Reranking for Open-Domain Question Answering
    Yung-Sung Chuang, Wei Fang, Shang-Wen Li, Wen-tau Yih, James Glass
    In Findings of The 61st Annual Meeting of the Association for Computational Linguistics, 2023.
    [bib] [abstract] [pdf] [code]
  • SAIL: Search-Augmented Instruction Learning
    Hongyin Luo, Yung-Sung Chuang, Yuan Gong, Tianhua Zhang, Yoon Kim, Xixin Wu, Danny Fox, Helen Meng, James Glass
    In arXiv preprint, 2023.
    [bib] [abstract] [pdf] [code] [demo] [web]
  • Interpretable Unified Language Checking
    Hongyin Luo, Tianhua Zhang, Yung-Sung Chuang, Wei Fang, Luc Gaitskell, Thomas Hartvigsen, Xixin Wu, Danny Fox, Helen Meng, James Glass
    In arXiv preprint, 2023.
    [bib] [abstract] [pdf] [code]
  • C2KD: Cross-Lingual Cross-Modal Knowledge Distillation for Multilingual Text-Video Retrieval
    Andrew Rouditchenko, Yung-Sung Chuang, Nina Shvetsova, Samuel Thomas, Rogerio Feris, Brian Kingsbury, Leonid Karlinsky, David Harwath, Hilde Kuehne, James Glass
    In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023.
    [bib] [abstract] [pdf] [code & dataset]
  • Visual Language Pretrained Multiple Instance Zero-Shot Transfer for Histopathology Images
    Ming Y Lu, Bowen Chen, Andrew Zhang, Drew FK Williamson, Richard J Chen, Tong Ding, Long Phi Le, Yung-Sung Chuang, Faisal Mahmood
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023.
    [bib] [abstract] [pdf] [supplementary material]

2022

  • DUAL: Discrete Spoken Unit Adaptive Learning for Textless Spoken Question Answering
    Guan-Ting Lin, Yung-Sung Chuang, Ho-Lam Chung, Shu-wen Yang, Hsuan-Jui Chen, Shuyan Dong, Shang-Wen Li, Abdelrahman Mohamed, Hung-yi Lee, Lin-shan Lee.
    Submitted to Interspeech 2022.
    [bib] [abstract] [pdf] [code]

2021

2020

  • Lifelong Language Knowledge Distillation
    Yung-Sung Chuang, Shang-Yu Su, Yun-Nung Chen.
    In The Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020.
    [bib] [abstract] [pdf] [code] [video]

  • Dual Inference for Improving Language Understanding and Generation
    Yung-Sung Chuang*, Shang-Yu Su*, Yun-Nung Chen.
    In The Conference on Empirical Methods in Natural Language Processing: Findings (EMNLP), 2020.
    [bib] [abstract] [pdf] [code]

  • SpeechBERT: An Audio-and-text Jointly Learned Language Model for End-to-end Spoken Question Answering
    Yung-Sung Chuang, Chi-Liang Liu, Hung-Yi Lee, Lin-shan Lee.
    In Interspeech, 2020. (Interspeech 2020 Travel Grant)
    [bib] [abstract] [pdf] [video]

2019



Projects


Honors

  • Dean’s list (4 times), Electrical Engineering Dept. at NTU, Spring ’18, Spring ’19, Fall ’19, Spring ’20
  • Irving T. Ho Memorial Scholarship (2 times), EECS at NTU, Fall ’18, Fall ’19
  • Travel Grant, INTERSPEECH 2020 conference, Sep. 2020
  • Appier Best Application Award, 2020 NTU CSIE Undergrad Special Research Exhibition, Jun. 2020
  • 2nd Place & Appier 1st Award, 2019 NTU CSIE Undergrad Special Research Exhibition, Jun. 2019
  • 2nd Place, 2019 NTUEE Undergraduate Innovation Award, Jun. 2019
  • 1st Place, 2018 H. Spectrum Demo Day (out of 21 teams), Jul. 2018
  • 1st Place, NCTS Health Hackathon 2018 (out of 18 teams), Jun. 2018
  • Top 8 Finalist, Microsoft Imagine Cup Taiwan National Final 2018, Apr. 2018
  • Best Tech Award & Microsoft Enterprise Award, MakeNTU 2018 (out of 50 teams), Mar. 2018
  • 1st place of Dept. of Transportation, HackNTU 2017 (out of 100+ teams), Jul. 2017

Services

  • Reviewer:
    NeurIPS 2021, 2022, 2023
    ICLR 2022, 2023, 2024
    ICML 2022, 2023
    EMNLP 2022, 2023
    ACL 2023
    AAAI 2023
    ICASSP 2022, 2023
    TASL 2023