Liming Wang

Liming Wang (汪黎明)

limingw@csail.mit.edu

I'm a postdoctoral associate at the spoken language system group of the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL). Prior to that, I did my PhD at the University of Illinois Urbana-Champaign (UIUC), advised by Mark Hasegawa-Johnson. I am the recipient of Robert T. Chien Memorial Award for Electrical Engineering (2023) and Rambus Computer Engineering Fellowship (2020) for my research. I am on the 2024-2025 academic job market.

CV / Scholar / LinkedIn / Github

Research

Current research interest includes:

Statistical learning theory for multimodal learning
Multimodal learning with unpaired modalities
Multimodal linguistic unit discovery
Generative models

* denotes equal contribution.

	Automatic Prediction of Amyotrophic Lateral Sclerosis Progression using Longitudinal Speech Transformer Liming Wang, Yuan Gong, Nauman Dawalatabad, Marco Vilela, Katerina Placek, Brian Tracey, Yishu Gong, Fernando Vieira, James Glass Interspeech, 2024 project page / arXiv
	Towards Unsupervised Speech Recognition without Pronunciation Models Junrui Ni, Liming Wang, Yang Zhang, Kaizhi Qian, Heting Gao, Mark Hasegawa-Johnson, Chang D. Yoo In submission, 2024 project page / arXiv
	Unsupervised Speech Recognition with N-skipgram and Positional Unigram Matching Liming Wang, Mark Hasegawa-Johnson, Chang D. Yoo International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024 project page / arXiv
	A Theory of Unsupervised Speech Recognition Liming Wang, Mark Hasegawa-Johnson, Chang D. Yoo ACL, 2023 project page / arXiv
	Listen, Decipher and Sign: toward Unsupervised Speech-to-Sign Language Recognition Liming Wang, Junrui Ni, Heting Gao, Jialu Li, Kai Chieh Chang, Xulin Fan, Junkai Wu, Mark Hasegawa-Johnson, Chang D. Yoo ACL (Findings), 2023 project page / arXiv
	Unsupervised Text-to-Speech Synthesis by Unsupervised Automatic Speech Recognition Junrui Ni, Liming Wang*, Heting Gao, Kaizhi Qian, Yang Zhang, Shiyu Chang, Mark Hasegawa-Johnson Interspeech, 2022 project page / arXiv
	Self-supervised Semantic-driven Phoneme Discovery for Zero-resource Speech Recognition Liming Wang, Siyuan Feng, Mark Hasegawa-Johnson, Chang D. Yoo ACL, 2022 project page / arXiv
	A Translation Framework for Multimodal Spoken Unit Discovery Liming Wang, Mark Hasegawa-Johnson, Asilomar Conference on Signals, Systems, and Computers, 2021
	Coreference by Appearance: Visually Grounded Event Coreference Resolution Liming Wang, Shengyu Feng, Xudong Lin, Manling Li, Heng Ji, Shih-Fu Chang The Fourth Workshop on Computational Models of Reference, Anaphora and Coreference (CRAC), 2021.
	Align or Attend? Toward more Efficient and Accurate Spoken Word discovery Using Speech-to-Image Retrieval Liming Wang, Xinsheng Wang, Mark Hasegawa-Johnson, Odette Scharenborg, Najim Dehak ICASSP, 2021 project page / arXiv
	A DNN-HMM-DNN Hybrid Model for Discovering Word-like Units from Spoken Captions and Image Regions Liming Wang, Mark Hasegawa-Johnson Interspeech, 2020 project page / arXiv
	Multimodal Word Discovery with Spoken Descriptions and Visual Concepts Liming Wang, Mark Hasegawa-Johnson TASLP, 2020 project page / arXiv
	Multimodal Word Discovery with Phone Sequence and Visual Concepts Liming Wang, Mark Hasegawa-Johnson Interspeech, 2019 project page / arXiv
	XNMT: The eXtensible Neural Machine Translation Toolkit Graham Neubig, Matthias Sperber, Xinyi Wang, Matthieu Felix, Austin Matthews, Sarguna Padmanabhan, Ye Qi, Devendra Sachan, Philip Arthur, Pierre Godard, John Hewitt, Rachid Riad, Liming Wang AMTA, 2018 project page / arXiv
	Linguistic Unit Discovery from Multimodal Inputs in Unwritten Languages: Summary of the "Speaking Rosetta" JSALT 2017 Workshop. Odette Scharenborg, Laurent Besacier, Alan Black, Mark Hasegawa-Johnson, Florian Metze, Graham Neubig, Sebastian St¨uker, Pierre Godard, Markus M¨uller, Lucas Ondel, Shruti Palaskar, Philip Arthur, Francesco Ciannella, Mingxing Du, Elin Larsen, Danny Merkx, Rachid Riad, Liming Wang, Emmanuel Dupoux ICASSP, 2018 project page / arXiv

Template: Jon Barron