Renyu Zhu

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 25

Top Topics

Multimodal Fusion

Named Entity Recognition

Top Venues

Publications

Yingfan Liu, Renyu Zhu, Ming Gao
Personalized Programming Guidance based on Deep Programming Learning Style Capturing. CoRR (2024)
Jiayi Wu, Renyu Zhu, Nuo Chen, Qiushi Sun, Xiang Li, Ming Gao
Structure-aware Fine-tuning for Code Pre-trained Models. CoRR (2024)
Chengcheng Han, Renyu Zhu, Jun Kuang, Fengjiao Chen, Xiang Li, Ming Gao, Xuezhi Cao, Yunsen Xian
Conjoin after Decompose: Improving Few-Shot Performance of Named Entity Recognition. LREC/COLING (2024)
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
A Survey of Neural Code Intelligence: Paradigms, Advances and Beyond. CoRR (2024)
Fei Wang, Haoyu Liu, Haoyang Bi, Xiangzhuang Shen, Renyu Zhu, Runze Wu, Minmin Lin, Tangjie Lv, Changjie Fan, Qi Liu, Zhenya Huang, Enhong Chen
A Dataset for the Validation of Truth Inference Algorithms Suitable for Online Deployment. CoRR (2024)
Jiayi Wu, Renyu Zhu, Nuo Chen, Qiushi Sun, Xiang Li, Ming Gao
Structure-aware Fine-tuning for Code Pre-trained Models. LREC/COLING (2024)
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)
Chengcheng Han, Renyu Zhu, Jun Kuang, FengJiao Chen, Xiang Li, Ming Gao, Xuezhi Cao, Wei Wu
Meta-Learning Triplet Network with Adaptive Margins for Few-Shot Named Entity Recognition. CoRR (2023)
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 (2023)
Renyu Zhu, Haoyu Liu, Runze Wu, Minmin Lin, Tangjie Lv, Changjie Fan, Haobo Wang
Rethinking Noisy Label Learning in Real-world Annotation Scenarios from the Noise-type Perspective. CoRR (2023)
Haoyu Liu, Fei Wang, Minmin Lin, Runze Wu, Renyu Zhu, Shiwei Zhao, Kai Wang, Tangjie Lv, Changjie Fan
Towards Long-term Annotators: A Supervised Label Aggregation Baseline. CoRR (2023)
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 (2023)
Renyu Zhu, Chengcheng Han, Yong Qian, Qiushi Sun, Xiang Li, Ming Gao, Xuezhi Cao, Yunsen Xian
Exchanging-based Multimodal Fusion with Transformer. CoRR (2023)
Yingfan Liu, Renyu Zhu, Ming Gao
Personalized Programming Guidance Based on Deep Programming Learning Style Capturing. ICCSE (1) (2023)
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)
Xiang Li, Renyu Zhu, Yao Cheng, Caihua Shan, Siqiang Luo, Dongsheng Li, Weining Qian
Finding Global Homophily in Graph Neural Networks When Meeting Heterophily. ICML (2022)
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 (2022)
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)
Renyu Zhu, Lei Yuan, Xiang Li, Ming Gao, Wenyuan Cai
A Neural Network Architecture for Program Understanding Inspired by Human Behaviors. ACL (1) (2022)
Xiang Li, Renyu Zhu, Yao Cheng, Caihua Shan, Siqiang Luo, Dongsheng Li, Weining Qian
Finding Global Homophily in Graph Neural Networks When Meeting Heterophily. CoRR (2022)
Renyu Zhu, Dongxiang Zhang, Chengcheng Han, Ming Gao, Xuesong Lu, Weining Qian, Aoying Zhou
Programming Knowledge Tracing: A Comprehensive Dataset and A New Model. ICDM (Workshops) (2022)
Renyu Zhu, Lei Yuan, Xiang Li, Ming Gao, Wenyuan Cai
A Neural Network Architecture for Program Understanding Inspired by Human Behaviors. CoRR (2022)
Na Li, Renyu Zhu, Xiaoxu Zhou, Xiangnan He, Wenyuan Cai, Ming Gao, Aoying Zhou
On Disambiguating Authors: Collaboration Network Reconstruction in a Bottom-up Manner. ICDE (2021)
Renyu Zhu, Dongxiang Zhang, Chengcheng Han, Ming Gao, Xuesong Lu, Weining Qian, Aoying Zhou
Programming Knowledge Tracing: A Comprehensive Dataset and A New Model. CoRR (2021)
Na Li, Renyu Zhu, Xiaoxu Zhou, Xiangnan He, Wenyuan Cai, Ming Gao, Aoying Zhou
On Disambiguating Authors: Collaboration Network Reconstruction in a Bottom-up Manner. CoRR (2020)