Heng-Jui Chang (pronunciation)

I'm a Ph.D. candidate at MIT in the Spoken Language Systems Group, advised by Dr. James Glass. I received a Master's in Computer Science from MIT and a Bachelor's in Electrical Engineering from National Taiwan University, where I worked with Prof. Lin-shan Lee and Prof. Hung-yi Lee. My research focuses on audio representation learning, multimodal LLMs, and model efficiency.
Email: hengjui [at] mit.edu

     

2022–Present Summers 2023–2025 2017–2021

News

  • (Aug 2025) My paper (USAD) was accepted to ASRU 2025.
  • (May 2025) My paper (DC-Spin) done during an internship at Meta was accepted to Interspeech 2025.
  • (Apr 2024) I received the IEEE Ganesh N. Ramaswamy Memorial Student Grant for my ICASSP paper.
  • (Mar 2024) My paper (R-Spin) was accepted to NAACL 2024.
  • (Feb 2024) I have obtained my Master of Science degree in EECS from MIT.
  • (Dec 2023) My paper (CoLLD) done during an internship at Meta was accepted to ICASSP 2024.


Selected Publications  (full list)

PE-AV Pushing the Frontier of Audiovisual Perception with Large-Scale Multimodal Correspondence Learning
Apoorv Vyas, Heng-Jui Chang, Cheng-Fu Yang, Po-Yao Huang, Luya Gao, Julius Richter, Sanyuan Chen, Matt Le, Piotr Dollár, Christoph Feichtenhofer, Ann Lee, Wei-Ning Hsu
Preprint 2025
USAD USAD: Universal Speech and Audio Representation via Distillation
Heng-Jui Chang, Saurabhchand Bhati, James Glass, Alexander H. Liu
IEEE Automatic Speech Recognition and Understanding Workshop (ASRU) 2025
DC-Spin DC-Spin: A Speaker-invariant Speech Tokenizer for Spoken Language Models
Heng-Jui Chang, Hongyu Gong, Changhan Wang, James Glass, Yu-An Chung
Interspeech 2025
R-Spin R-Spin: Efficient Speaker and Noise-invariant Representation Learning with Acoustic Pieces
Heng-Jui Chang, James Glass
Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL) 2024
CoLLD CoLLD: Contrastive Layer-to-layer Distillation for Compressing Multilingual Pre-trained Speech Encoders
Heng-Jui Chang, Ning Dong, Ruslan Mavlyutov, Sravya Popuri, Yu-An Chung
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2024
IEEE Ganesh N. Ramaswamy Memorial Student Grant
Large-Scale Eval A Large-Scale Evaluation of Speech Foundation Models
Shu-wen Yang, Heng-Jui Chang*, Zili Huang*, Andy T. Liu*, Cheng-I Lai*, Haibin Wu*, Jiatong Shi, Xuankai Chang, Hsiang-Sheng Tsai, Wen-Chin Huang, Tzu-hsun Feng, Po-Han Chi, Yist Y. Lin, Yung-Sung Chuang, Tzu-Hsien Huang, Wei-Cheng Tseng, Kushal Lakhotia, Abdelrahman Mohamed, Shang-Wen Li, Shinji Watanabe, Hung-yi Lee
IEEE/ACM Transactions on Audio, Speech, and Language Processing (TASLP) 2024
DinoSR DinoSR: Self-Distillation and Online Clustering for Self-supervised Speech Representation Learning
Alexander H. Liu, Heng-Jui Chang, Michael Auli, Wei-Ning Hsu, James Glass
Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS) 2023
Spin Self-supervised Fine-tuning for Improved Content Representations by Speaker-invariant Clustering
Heng-Jui Chang, Alexander H. Liu, James Glass
Interspeech 2023
SpeechCLIP SpeechCLIP: Integrating Speech with Pre-Trained Vision and Language Model
Yi-Jen Shih, Hsuan-Fu Wang, Heng-Jui Chang, Layne Berry, Hung-yi Lee, David Harwath
IEEE Spoken Language Technology Workshop (SLT) 2022
SUPERB-SG SUPERB-SG: Enhanced Speech processing Universal PERformance Benchmark for Semantic and Generative Capabilities
Hsiang-Sheng Tsai*, Heng-Jui Chang*, Weng-Chin Huang*, Zili Huang*, Kushal Lakhotia*, Shu-wen Yang, Shuyan Dong, Andy T. Liu, Cheng-I Lai, Jiatong Shi, Xuankai Chang, Phil Hall, Hsuan-Jui Chen, Shang-Wen Li, Shinji Watanabe, Abdelrahman Mohamed, Hung-yi Lee
Annual Meeting of the Association for Computational Linguistics (ACL) 2022
DistilHuBERT DistilHuBERT: Speech Representation Learning by Layer-wise Distillation of Hidden-unit BERT
Heng-Jui Chang, Shu-wen Yang, Hung-yi Lee
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2022

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Last updated December 2025
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