Ronglai Zuo (左镕来) Ph.D. Candidate Room 4209, Academic Building HKUST, Clear Water Bay Kowloon, Hong Kong Email: rzuo [at] cse.ust.hk; zrl2016ustc [at] outlook.com [CV] [Google Scholar] [Linkedin]

Biography

I am currently a final-year Ph.D. candidate at Department of Computer Science and Engineering, The Hong Kong University of Science and Technology (HKUST), supervised by Prof. Brian Mak. Before that, I received my B.Eng. degree of Electronic Information Engineering from Special Class for the Gifted Young, University of Science and Technology of China (USTC), in 2020. I am now a research intern at Microsoft Research Asia supervised by Fangyun Wei.

My research mainly focuses on sign language understanding and generation, while I am also interested in video understanding and multimodal learning.

Looking for a research-oriented position starting in Fall 2024! Please drop me an email if you are interested in my background.

News

[02/2024] One paper is accepted by LREC-COLING 2024.

[01/2024] One paper is accepted by ACM TOMM.

[02/2023] One paper is accepted by CVPR 2023.

[09/2022] One paper is accepted by NeurIPS 2022.

[06/2022] One paper is accepted by Interspeech 2022.

[04/2022] Start my internship at MSRA!

[03/2022] One paper is accepted by CVPR 2022.

[12/2021] Pass my Ph.D. qualifying exam. Now I am a Ph.D. candidate!

[09/2020] Start my Ph.D. journey at HKUST!

[07/2020] Finish my undergraduate study at USTC. Memorable 4 years in Hefei!

Publications

(*indicates co-first authors)

• A Hong Kong Sign Language Corpus Collected from Sign-interpreted TV News
  Zhe Niu*, Ronglai Zuo*, Brian Mak, and Fangyun Wei
  Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING), Turin, Italy, 2024
  [pdf] [dataset]
• Improving Continuous Sign Language Recognition with Consistency Constraints and Signer Removal
  Ronglai Zuo and Brian Mak
  ACM Transactions on Multimedia Computing, Communications and Applications (TOMM), 2024
  [pdf] [code]
• Natural Language-Assisted Sign Language Recognition
  Ronglai Zuo, Fangyun Wei, and Brian Mak
  IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver, Canada, 2023
  [pdf] [code]
• Two-Stream Network for Sign Language Recognition and Translation
  Yutong Chen*, Ronglai Zuo*, Fangyun Wei*, Yu Wu, Shujie Liu, and Brian Mak
  Advances in Neural Information Processing Systems (NeurIPS), New Orleans, USA, 2022, Spotlight
  [pdf] [code]
• C2SLR: Consistency-enhanced Continuous Sign Language Recognition
  Ronglai Zuo and Brian Mak
  IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, USA, 2022
  [pdf] [code]
• Local Context-aware Self-attention for Continuous Sign Language Recognition
  Ronglai Zuo and Brian Mak
  Annual Conference of International Speech Communication Association (Interspeech), Incheon, Korea, 2022
  [pdf] [code]

Preprints

• Towards Online Sign Language Recognition and Translation
  Ronglai Zuo, Fangyun Wei, and Brian Mak
  Under Review, 2024
  [pdf] [code]
• A Simple Baseline for Spoken Language to Sign Language Translation with 3D Avatars
  Ronglai Zuo*, Fangyun Wei*, Zenggui Chen, Brian Mak, Jiaolong Yang, and Xin Tong
  Under Review, 2024
  [pdf] [code] [project]

Honors & Awards

• Stars of Tomorrow, Microsoft Research Asia, 2023
• Outstanding Graduate, USTC, 2020
• Outstanding Students, USTC, 2017-2019

Services

• Conference Reviewer: CVPR, ICCV, ECCV, ACCV, NeurIPS, ICLR
• Journal Reviewer: TMM, PR, IPM

Teaching

• TA in COMP2012 Object-Oriented Programming and Data Structures, Fall 2023
• TA in COMP2011 Programming with C++, Spring 2021, Fall 2021

© 2024 Ronglai Zuo. Last updated in 03/2024.