Shuo Li
Portrait of Shuo Li

Shuo Li

Postdoc

Tsinghua University

shuoli@mail.tsinghua.edu.cn

About

I am a postdoc at Tsinghua University. My postdoc advisor is Yang Liu, and Peng Li provides research guidance for my postdoctoral work.

I received my Ph.D. from Harbin Engineering University under the supervision of Xiaojun Bi.

My research focuses on machine translation, translation quality estimation, and multimodal language understanding. I study language technologies for low-resource and historical scripts, including Dongba pictograms, Manchu archival texts, and ancient Chinese.

News

  • I joined Tsinghua University as a postdoc, working with Yang Liu and Peng Li.

  • DongbaMIE appeared in Findings of EMNLP. Our work on Dongba script translation appeared in npj Heritage Science.

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Selected Publications

Full list on Google Scholar

2026

  1. GC-Fusion: Enhancing Dongba Manuscript Translation via Multimodal LLMs with Glyph-Coordinate Fusion

    Junyao Xing, Xiaojun Bi, Shuo Li

    Expert Systems with Applications, 133358, 2026

    Paper
  2. M3Trans: Scaling MLLM-based Manchu Archival Image to Classical Chinese Machine Translation via Domain Adaptation Fine-tuning

    Xiaojun Bi, Haipeng Sun, Weizheng Qiao, Zheng Chen, Shuo Li

    Expert Systems with Applications, 134076, 2026

    Paper
  3. A Weakly Supervised Preference Alignment Framework for Robust Ancient Chinese Translation

    Xiaojun Bi, Shuo Li, Junyao Xing, Yiwen Sun

    Pattern Recognition, 113562, 2026

    PaperCode

2025

  1. DongbaMIE: A Multimodal Information Extraction Dataset for Evaluating Semantic Understanding of Dongba Pictograms

    Xiaojun Bi, Shuo Li, Junyao Xing, Ziyue Wang, Fuwen Luo, Weizheng Qiao, Lu Han, Ziwei Sun, Peng Li, Yang Liu

    EMNLP (Findings), 976-990, 2025

    PaperCodeDataset
  2. Multimodal Context-Aware Translation of the Endangered Dongba Script

    Shuo Li, Xiaojun Bi, Junyao Xing, Ziyue Wang, Fuwen Luo, Peng Li, Yang Liu

    npj Heritage Science 13(1), 527, 2025

    PaperData & Resources
  3. TIMTQE: Benchmarking Machine Translation Quality Estimation for Text Images

    Shuo Li, Xiaojun Bi, Yiwen Sun

    IEEE Signal Processing Letters 33, 106-110, 2025

    PaperCodeDataset

2024

  1. Information Dropping Data Augmentation for Machine Translation Quality Estimation

    Shuo Li, Xiaojun Bi, Tao Liu, Zheng Chen

    IEEE/ACM Transactions on Audio, Speech, and Language Processing 32, 2112-2124, 2024

    Paper
  2. Omni-Scale Feature Learning for Lightweight Image Dehazing

    Zheng Chen, Xiaojun Bi, Shuo Li, Jianyu Yue

    Applied Intelligence 54(20), 10039-10054, 2024

    Paper
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2022

  1. A Novel Approach Using Convolutional Transformer for Massive MIMO CSI Feedback

    Xiaojun Bi, Shuo Li, Changdong Yu, Yu Zhang

    IEEE Wireless Communications Letters 11(5), 1017-1021, 2022

    Paper

Professional Services

Journal Reviewer

  • International Journal of Multimedia Information Retrieval
  • Journal on Computing and Cultural Heritage
  • Scientific Reports
  • Neural Networks

Conference Reviewer

  • PRCV
  • CCMT

Contact

I welcome discussions about machine translation, multimodal language understanding, and low-resource languages.

shuoli@mail.tsinghua.edu.cn Tsinghua University, Beijing, China