Renyu Zhu

According to our database, Renyu Zhu authored at least 15 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Structure-aware Fine-tuning for Code Pre-trained Models.

Jiayi Wu, Renyu Zhu, Nuo Chen, Qiushi Sun, Xiang Li, Ming Gao

CoRR, 2024

A Survey of Neural Code Intelligence: Paradigms, Advances and Beyond.

Qiushi Sun, Zhirui Chen, Fangzhi Xu, Kanzhi Cheng, Chang Ma, Zhangyue Yin, Jianing Wang, Chengcheng Han, Renyu Zhu, Shuai Yuan, Qipeng Guo, Xipeng Qiu, Pengcheng Yin, Xiaoli Li, Fei Yuan, Lingpeng Kong, Xiang Li, Zhiyong Wu

CoRR, 2024

A Dataset for the Validation of Truth Inference Algorithms Suitable for Online Deployment.

Fei Wang, Haoyu Liu, Haoyang Bi, Xiangzhuang Shen, Renyu Zhu, Runze Wu, Minmin Lin, Tangjie Lv, Changjie Fan, Qi Liu, Zhenya Huang, Enhong Chen

CoRR, 2024

2023

Towards Long-term Annotators: A Supervised Label Aggregation Baseline.

Haoyu Liu, Fei Wang, Minmin Lin, Runze Wu, Renyu Zhu, Shiwei Zhao, Kai Wang, Tangjie Lv, Changjie Fan

CoRR, 2023

Exchanging-based Multimodal Fusion with Transformer.

Renyu Zhu, Chengcheng Han, Yong Qian, Qiushi Sun, Xiang Li, Ming Gao, Xuezhi Cao, Yunsen Xian

CoRR, 2023

Rethinking Noisy Label Learning in Real-world Annotation Scenarios from the Noise-type Perspective.

Renyu Zhu, Haoyu Liu, Runze Wu, Minmin Lin, Tangjie Lv, Changjie Fan, Haobo Wang

CoRR, 2023

Make Prompt-based Black-Box Tuning Colorful: Boosting Model Generalization from Three Orthogonal Perspectives.

Qiushi Sun, Chengcheng Han, Nuo Chen, Renyu Zhu, Jingyang Gong, Xiang Li, Ming Gao

CoRR, 2023

Meta-Learning Triplet Network with Adaptive Margins for Few-Shot Named Entity Recognition.

Chengcheng Han, Renyu Zhu, Jun Kuang, FengJiao Chen, Xiang Li, Ming Gao, Xuezhi Cao, Wei Wu

CoRR, 2023

Personalized Programming Guidance Based on Deep Programming Learning Style Capturing.

Yingfan Liu, Renyu Zhu, Ming Gao

Proceedings of the Computer Science and Education. Computer Science and Technology, 2023

When Gradient Descent Meets Derivative-Free Optimization: A Match Made in Black-Box Scenario.

Chengcheng Han, Liqing Cui, Renyu Zhu, Jianing Wang, Nuo Chen, Qiushi Sun, Xiang Li, Ming Gao

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Finding Global Homophily in Graph Neural Networks When Meeting Heterophily.

Xiang Li, Renyu Zhu, Yao Cheng, Caihua Shan, Siqiang Luo, Dongsheng Li, Weining Qian

Proceedings of the International Conference on Machine Learning, 2022

Programming Knowledge Tracing: A Comprehensive Dataset and A New Model.

Renyu Zhu, Dongxiang Zhang, Chengcheng Han, Ming Gao, Xuesong Lu, Weining Qian, Aoying Zhou

Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

CAT-probing: A Metric-based Approach to Interpret How Pre-trained Models for Programming Language Attend Code Structure.

Nuo Chen, Qiushi Sun, Renyu Zhu, Xiang Li, Xuesong Lu, Ming Gao

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

A Neural Network Architecture for Program Understanding Inspired by Human Behaviors.

Renyu Zhu, Lei Yuan, Xiang Li, Ming Gao, Wenyuan Cai

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

On Disambiguating Authors: Collaboration Network Reconstruction in a Bottom-up Manner.

Na Li, Renyu Zhu, Xiaoxu Zhou, Xiangnan He, Wenyuan Cai, Ming Gao, Aoying Zhou

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021