CV

A PDF version of my Resume is here.

Education

• Ph.D. Candidate in Natural Language Processing, Ludwig-Maximilians-Universität München, 2024 - 2027 (expected)
• Master of Engineering in Information and Communication Engineering, University of Science and Technology of China, 2020 - 2023
• Bachelor of Engineering in Electronic and Information Engineering, University of Science and Technology of China, 2016 - 2020

Work experience

• June 2022 - January 2023: Research intern
  • Microsoft Research Asia, Beijing, China
  • Research at the natural language computing group, focus on pre-training methods based on ELECTRA.
  • Supervisor: Shaohan Huang
• June 2021 - March 2022: Research intern
  • iFLYTEK Research, Hefei, China
  • Research at the state key laboratory of cognitive intelligence, focus on multilinguality.
  • Supervisor: Quan Liu

Publications

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. 2023. Pre-training Language Model as a Multi-perspective Course Learner. In Findings of the Association for Computational Linguistics: ACL 2023, pages 114–128, Toronto, Canada. Association for Computational Linguistics.

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. 2022. Wider & Closer: Mixture of Short-channel Distillers for Zero-shot Cross-lingual Named Entity Recognition. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 5171–5183, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics.

Feature Aggregation in Zero-Shot Cross-Lingual Transfer Using Multilingual BERT

B. Chen, W. Guo, Q. Liu and K. Tao, "Feature Aggregation in Zero-Shot Cross-Lingual Transfer Using Multilingual BERT," 2022 26th International Conference on Pattern Recognition (ICPR), Montreal, QC, Canada, 2022, pp. 1428-1435, doi: 10.1109/ICPR56361.2022.9956721. keywords: {Fuses;Bit error rate;Tagging;Linguistics;Benchmark testing;Transformers;Pattern recognition},

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, and Quan Liu. 2022. USTC-NELSLIP at SemEval-2022 Task 11: Gazetteer-Adapted Integration Network for Multilingual Complex Named Entity Recognition. In Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022), pages 1613–1622, Seattle, United States. Association for Computational Linguistics.

Multi-Level Contrastive Learning for Cross-Lingual Alignment

B. Chen, W. Guo, B. Gu, Q. Liu and Y. Wang, "Multi-Level Contrastive Learning for Cross-Lingual Alignment," ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Singapore, Singapore, 2022, pp. 7947-7951, doi: 10.1109/ICASSP43922.2022.9747720. keywords: {Training;Conferences;Semantics;Bit error rate;Estimation;Benchmark testing;Signal processing;Cross-language pre-trained model;contrastive learning;multi-level;cross-zero NCE;cross-lingual alignment},

Teaching

NLP for Climate Change (Algor.u.formale Aspekte) SoSe 2024

Signals and Systems 210049, 210049.05

Computer Programming A, CS1001A, 210522.02

Electromagnetism C, PHYS1004C, 022503.03

Service and leadership

• Program committee/reviewing:
  • Conference: ACL 2023/2024, EMNLP 2023, ICASSP 2022, ICPR 2022
  • Journal: TPAMI

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.
• 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.
• 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.

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) [pdf]
陈贝多, 黄青青, 杜俊
China National Intellectual Property Administration (CNIPA)