Zuchao Li (Charlie) 李祖超
Associate Researcher
School of Computer Science
Wuhan University
Room E306, School of Computer Science Building
Wuhan University, Wuhan 430072, China
Email: zcli.charlie AT gmail DOT com
Homepage: https://zcli-charlie.github.io/
[Google Scholar] [Github]
Biography
I am now a Associate Researcher at Wuhan University. I got my PhD degree from Department of Computer Science and Technology, Shanghai Jiao Tong University, advised by Prof. Hai Zhao. I have visited National Institute of Information and Communications Technology (NICT) as Limited Technical Researcher, Japan, hosted by Doc. Masao Utiyama and Doc. Eiichiro Sumita.My research interests including the language sequence modeling, linguistic structure parsing, and language representation learning from various types of data (unlabeled or noisy data, structured data like tree, graph, etc.). Specifically, I focus on theoretical and algorithmic approaches for syntax/semantic parsing, self-supervised/weakly supervised learning, structure learning, and related NLP tasks.
I am actively recruiting master/PhD students and undergraduate interns! Welcome to contact me with your detailed CV in advance!
I also welcome students from outside the School of Computer Science (or outside of Wuhan University) to join the research group, and will arrange appropriate research/development assignments based on your background.
Research Fields / Working Projects
1. Large Language Model (LLM) Pre-training (BatGPT)
2. Low-resource Syntax / Semantic Parsing
3. Alignment Improved Representation Learning
4. Better Optimization During Model Fintune
5. Better Inference Framework
( # Equal Contribution; * Corresponding Author; [Full List])
A Novel Energy based Model Method for Multi-modal Aspect-Based Sentiment Analysis [PDF]
Tianshuo Peng, Zuchao Li*, Ping Wang, Lefei Zhang, and Hai Zhao
AAAI Conference on Artificial Intelligence (AAAI 2024), 2024
Multi-modal Latent Space Learning for Chain-of-Thought Reasoning in Language Models [PDF]
Liqi He, Zuchao Li*, Xiantao Cai, and Ping Wang
AAAI Conference on Artificial Intelligence (AAAI 2024), 2024
N-Gram Unsupervised Compoundation and Feature Injection for Better Symbolic Music Understanding [PDF]
Jinhao Tian, Zuchao Li*, Jiajia Li, and Ping Wang*
AAAI Conference on Artificial Intelligence (AAAI 2024), 2024
Cross-lingual Universal Dependency Parsing Only From One Monolingual Treebank [PDF]
Kailai Sun, Zuchao Li*, and Hai Zhao*
IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI 2023), 2023
Enhancing Visually-Rich Document Understanding via Layout Structure Modeling [PDF]
Qiwei Li, Zuchao Li*, Xiantao Cai, Bo Du, and Hai Zhao
the 31st ACM International Conference on Multimedia (MM 2023), 2023
MAPLE: Semi-Supervised Learning with Multi-Alignment and Pseudo-Learning [PDF]
Juncheng Yang, Chao Li, Zuchao Li*, Wei Yu, Bo Du, and Shijun Li*
the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2023), 2023
FSUIE: A Novel Fuzzy Span Mechanism for Universal Information Extraction [PDF]
Tianshuo Peng, Zuchao Li*, Lefei Zhang, Bo Du, and Hai Zhao
Annual Meeting of the Association for Computational Linguistics (ACL 2023), 2023
Bidirectional Looking with A Novel Double Exponential Moving Average to Adaptive and Non-adaptive Momentum Optimizers [PDF]
Yineng Chen, Zuchao Li*, Lefei Zhang, Bo Du, and Hai Zhao
International Conference on Machine Learning (ICML 2023), 2023
iRe^2F: Rethinking Effective Refinement in Language Structure Prediction via Efficient Iterative Retrospecting and Reasoning [PDF]
Zuchao Li, Xingyi Guo, Letian Peng, Lefei Zhang, and Hai Zhao*
International Joint Conference on Artificial Intelligence (IJCAI 2023), 2023
Fine-grained Position Helps Memorizing More, A Novel Music Compound Transformer Model with Feature Interaction Fusion [PDF]
Zuchao Li, Ruhang Gong, Yineng Chen, and Kehua Su*
AAAI Conference on Artificial Intelligence (AAAI 2023), 2023
Explicit Alignment Learning for Neural Machine Translation [PDF]
Zuchao Li, Hai Zhao*, Fengshun Xiao, Masao Utiyama and Eiichiro Sumita
International Joint Conference on Artificial Intelligence (IJCAI 2022), 2022
Text Compression-aided Transformer Encoding [PDF]
Zuchao Li, Zhuosheng Zhang, Hai Zhao, Rui Wang, Kehai Chen, Masao Utiyama, Eiichiro Sumita
IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI 2021), 2021
Multilingual Pre-training with Universal Dependency Learning [PDF]
Kailai Sun*, Zuchao Li* and Hai Zhao
Neural Information Processing Systems (NeurIPS 2021), 2021
Syntax for Semantic Role Labeling, to Be, or Not to Be [PDF]
Shexia He#, Zuchao Li#, Hai Zhao*, Hongxiao Bai, Gongshen Liu
Annual Meeting of the Association for Computational Linguistics (ACL 2018), 2018
Unsupervised Neural Machine Translation with Universal Grammar [PDF]
Zuchao Li, Masao Utiyama, Eiichiro Sumita, Hai Zhao
Conference on Empirical Methods in Natural Language Processing (EMNLP 2021), 2021
Restricted or Not: A General Training Framework for Neural Machine Translation [PDF]
Zuchao Li, Masao Utiyama, Eiichiro Sumita, and Hai Zhao
Annual Meeting of the Association for Computational Linguistics, Student Research Workshop (ACL Workshop 2022), 2022
What Works and Doesn't Work, A Deep Decoder for Neural Machine Translation [PDF]
Zuchao Li, Yiran Wang, Masao Utiyama, Eiichiro Sumita, Hai Zhao, and Taro Watanabe.
Annual Meeting of the Association for Computational Linguistics, Findings (ACL-Findings 2022), 2022
Reference Language based Unsupervised Neural Machine Translation [PDF]
Zuchao Li, Hai Zhao, Rui Wang, Masao Utiyama and Eiichiro Sumita
Conference on Empirical Methods in Natural Language Processing, Findings (EMNLP-Finds 2020), 2020
Grammatical Error Correction as GAN-like Sequence Labeling [PDF]
Kevin Parnow#, Zuchao Li#, Hai Zhao*
Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics, Findings (ACL-Findings 2021), 2021
- Journal Reviewer: TASLP, TALLIP, TCBB, etc.
- Conference Program Committee: NeurIPS, ICML, ICLR, ACL, EMNLP, AAAI, IJCAI, NLPCC, CCL, etc.
- Top 100 Chinese Rising Stars in Artificial Intelligence, Baidu Scholarship
- SJTU Outstanding Ph.D. Scholarship, 85th CSE Education and Development Fund & Yang Yuanqing Education Fund
- Jinhao Tian (WHU master Student, 2023)
- Qiwei Li (WHU master Student, 2023)
- Jiliang Hu (WHU master Student, 2023)
- Ziyi Pan (WHU master Student, 2023)
- Tianshuo Peng (WHU undergraduate Student, 2022)
- Liqi He (WHU undergraduate Student, 2022)
- Ruhan Gong (WHU master Student, 2022)
- Yineng Chen (WHU undergraduate Student, 2022)
- Xin Yan (WHU undergraduate Student, 2022)
- Shitou Zhang (WHU undergraduate Student → MS Student at HKUST, 2022)
- Letian Peng (co-supervised with Prof. Hai Zhao. SJTU Undergraduate Student, 2021 → PhD Student at UCSD, 2022)
- Kailai Sun (co-supervised with Prof. Hai Zhao. SJTU Undergraduate Student, 2020 → MS Student at SJTU, 2022)
- Yifei Yang (co-supervised with Prof. Hai Zhao. CSU Undergraduate Student, 2020 → PhD Student at SJTU, 2021)
- Yao Yao (co-supervised with Prof. Hai Zhao. SEU Undergraduate Student, 2021 → PhD Student at SJTU, 2022)
- Ziming Cheng (co-supervised with Prof. Hai Zhao. SJTU MS Student, 2022)