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ORCIDNuo Chen 0002
Person information
- affiliation: East China Normal University, School of Data Science and Engineering, Shanghai, China
Other persons with the same name
- Nuo Chen — disambiguation page
- Nuo Chen 0001
![[0009-0000-5880-4712]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0009-0000-5880-4712")
— Hong Kong University of Science and Technology (Guangzhou), China (and 2 more) - Nuo Chen 0003 — New York University, NY, USA (and 1 more)
- Nuo Chen 0004 — Hong Kong Polytechnic University, Hong Kong (and 1 more)
- Nuo Chen 0005 — Nanjing University of Science and Technology, School of Electronic and Optical Engineering, China
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Conference and Workshop Papers
- 2024
[c9]Qiushi Sun, Chengcheng Han, Nuo Chen, Renyu Zhu, Jingyang Gong, Xiang Li, Ming Gao:
Make Prompt-based Black-Box Tuning Colorful: Boosting Model Generalization from Three Orthogonal Perspectives. LREC/COLING 2024: 10958-10969- [c8]Jiayi Wu, Renyu Zhu, Nuo Chen, Qiushi Sun, Xiang Li, Ming Gao:
Structure-aware Fine-tuning for Code Pre-trained Models. LREC/COLING 2024: 15362-15372 - [c7]Qiushi Sun, Nuo Chen, Jianing Wang, Ming Gao, Xiang Li:
TransCoder: Towards Unified Transferable Code Representation Learning Inspired by Human Skills. LREC/COLING 2024: 16713-16726 - 2023
- [c6]Chengcheng Han, Liqing Cui, Renyu Zhu, Jianing Wang, Nuo Chen, Qiushi Sun, Xiang Li, Ming Gao:
When Gradient Descent Meets Derivative-Free Optimization: A Match Made in Black-Box Scenario. ACL (Findings) 2023: 868-880 - [c5]Jianing Wang, Nuo Chen, Qiushi Sun, Wenkang Huang, Chengyu Wang, Ming Gao:
HugNLP: A Unified and Comprehensive Library for Natural Language Processing. CIKM 2023: 5111-5116 - [c4]Nuo Chen, Qiushi Sun, Jianing Wang, Xiang Li, Ming Gao:
Pass-Tuning: Towards Structure-Aware Parameter-Efficient Tuning for Code Representation Learning. EMNLP (Findings) 2023: 577-591 - [c3]Jianing Wang, Qiushi Sun, Nuo Chen, Chengyu Wang, Jun Huang, Ming Gao, Xiang Li:
Uncertainty-aware Parameter-Efficient Self-training for Semi-supervised Language Understanding. EMNLP (Findings) 2023: 7873-7884 - [c2]Nuo Chen, Qiushi Sun, Jianing Wang, Ming Gao, Xiaoli Li, Xiang Li:
Evaluating and Enhancing the Robustness of Code Pre-trained Models through Structure-Aware Adversarial Samples Generation. EMNLP (Findings) 2023: 14857-14873 - 2022
- [c1]Nuo Chen, Qiushi Sun, Renyu Zhu, Xiang Li, Xuesong Lu, Ming Gao:
CAT-probing: A Metric-based Approach to Interpret How Pre-trained Models for Programming Language Attend Code Structure. EMNLP (Findings) 2022: 4000-4008
Informal and Other Publications
- 2024
- [i8]Jiayi Wu, Renyu Zhu, Nuo Chen, Qiushi Sun, Xiang Li, Ming Gao:
Structure-aware Fine-tuning for Code Pre-trained Models. CoRR abs/2404.07471 (2024) - 2023
- [i7]Jianing Wang, Nuo Chen, Qiushi Sun, Wenkang Huang, Chengyu Wang, Ming Gao:
HugNLP: A Unified and Comprehensive Library for Natural Language Processing. CoRR abs/2302.14286 (2023) - [i6]Qiushi Sun, Chengcheng Han, Nuo Chen, Renyu Zhu, Jingyang Gong, Xiang Li, Ming Gao:
Make Prompt-based Black-Box Tuning Colorful: Boosting Model Generalization from Three Orthogonal Perspectives. CoRR abs/2305.08088 (2023) - [i5]Chengcheng Han, Liqing Cui, Renyu Zhu, Jianing Wang, Nuo Chen, Qiushi Sun, Xiang Li, Ming Gao:
When Gradient Descent Meets Derivative-Free Optimization: A Match Made in Black-Box Scenario. CoRR abs/2305.10013 (2023) - [i4]Jianing Wang, Qiushi Sun, Nuo Chen, Xiang Li, Ming Gao:
Boosting Language Models Reasoning with Chain-of-Knowledge Prompting. CoRR abs/2306.06427 (2023) - [i3]Qiushi Sun, Nuo Chen, Jianing Wang, Xiang Li, Ming Gao:
TransCoder: Towards Unified Transferable Code Representation Learning Inspired by Human Skills. CoRR abs/2306.07285 (2023) - [i2]Jianing Wang, Qiushi Sun, Nuo Chen, Chengyu Wang, Jun Huang, Ming Gao, Xiang Li:
Uncertainty-aware Parameter-Efficient Self-training for Semi-supervised Language Understanding. CoRR abs/2310.13022 (2023) - 2022
- [i1]Nuo Chen, Qiushi Sun, Renyu Zhu, Xiang Li, Xuesong Lu, Ming Gao:
CAT-probing: A Metric-based Approach to Interpret How Pre-trained Models for Programming Language Attend Code Structure. CoRR abs/2210.04633 (2022)
Coauthor Index
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