About Me
Hi there! My name is Beiduo Chen.
I'm currently a Ph.D. candidate and am going to start my doctoral training in The Center for Information and Language Processing (CIS) at Ludwig-Maximilians-Universität München (LMU Munich), supervised by Prof. Dr. Barbara Plank. My new homepage is in the making!
I received my master degree at University of Science and Technology of China, supervised by Prof. Dr. Wu Guo, and co-advised by Prof. Dr. Zhen-Hua Ling at the USTC NLP Group.
My main research interests lie within deep learning for natural language processing, and I am particularly interested in multilinguality.
Education
- Ph.D. Candidate
2023.09 - 2026.06 (Expected): The Center for Information and Language Processing, Ludwig-Maximilians-Universität München
- Master's Degree
2020.09 - 2023.06: School of Information Science and Technology, University of Science and Technology of China
- Bachelor's Degree
2016.09 - 2020.06: School of Information Science and Technology, University of Science and Technology of China
Experience
Publications
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Pre-training Language Model as a Multi-perspective Course Learner
Beiduo Chen, Shaohan Huang, Zihan Zhang, Wu Guo, Zhenhua Ling, Haizhen Huang, Furu Wei, Weiwei Deng and Qi Zhang
Findings of the 61st Annual Meeting of the Association for Computational Linguistics (Findings of ACL 2023)
[paper]
[arxiv]
[model]
[slides]
[poster]
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Multi-Level Contrastive Learning for Cross-Lingual Alignment
Beiduo Chen, Wu Guo, Bin Gu, Quan Liu, Yongchao Wang
2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2022)
[paper]
[arxiv]
[code]
[slides]
[poster]
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Wider & Closer: Mixture of Short-channel Distillers for Zero-shot Cross-lingual Named Entity Recognition
Jun-Yu Ma*, Beiduo Chen*, Jia-Chen Gu, Zhenhua Ling, Wu Guo, Quan Liu, Zhigang Chen and Cong Liu
The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022 Main Conference)
[paper]
[arxiv]
[code]
[slides]
[poster]
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Feature Aggregation in Zero-Shot Cross-Lingual Transfer Using Multilingual BERT
Beiduo Chen, Wu Guo, Quan Liu, Kun Tao
26TH International Conference on Pattern Recognition (ICPR 2022)
[paper]
[arxiv]
[poster]
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USTC-NELSLIP at SemEval-2022 Task 11: Gazetteer-Adapted Integration Network for Multilingual Complex Named Entity Recognition
Beiduo Chen, Jun-Yu Ma, Jiajun Qi, Wu Guo, Zhen-Hua Ling, Quan Liu
The 16th International Workshop on Semantic Evaluation at 2022 Annual Conference of the North American Chapter of the Association for Computational Linguistics (SemEval at NAACL 2022)
[paper]
[arxiv]
[code]
[slides]
[poster]
Shared Tasks
- 2022 Rank 1st on three tracks (Chinese, Code-mixed and Bangla), and rank 2nd on the other ten tracks in SemEval-2022 Task 11 MultiCoNER , as the first author.
Selected Honors
- 2023 Outstanding Graduate Award of University of Science and Technology of China.
- 2023 Outstanding Graduate Award of Ordinary Colleges and Universities in Anhui Province.
- 2022 China National Scholarship.
- 2020 Suzhou Yucai Scholarship: Top 1 GPA (3.93/4.3) in the class (1/120) of that year.
- 2019 Scholarship of the Institute of Electrics, Chinese Academy of Sciences: Top 3% GPA in the department of that year.
- 2018 The third prize (provincial) in Contemporary Undergraduate Mathematical Contest in Modeling of China.
- 2017 Gold Award for Outstanding Student.
Service
- Program committee/reviewing:
- Conference: ACL 2023, EMNLP 2023, ICASSP 2022, ICPR 2022
- Teaching assistant:
- Signals and Systems (210049, 210049.05, USTC), 2021
- Computer Programming A (CS1001A, 210522.02, USTC), 2019
- Electromagnetism C (PHYS1004C, 022503.03, USTC), 2018
Patent
-
基于数据增强训练的多特征融合神经机器翻译检错方法 (CN112926345A)
陈贝多, 黄青青, 杜俊
China National Intellectual Property Administration (CNIPA)
[pdf]
Last updated: 2023/07