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2020 – today
- 2024
[c10]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: 3707-3717- [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 - [i15]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 abs/2403.08826 (2024) - [i14]Yingfan Liu, Renyu Zhu, Ming Gao:
Personalized Programming Guidance based on Deep Programming Learning Style Capturing. CoRR abs/2403.14638 (2024) - [i13]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 abs/2403.14734 (2024) - [i12]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
- [c7]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 - [c6]Yingfan Liu, Renyu Zhu, Ming Gao:
Personalized Programming Guidance Based on Deep Programming Learning Style Capturing. ICCSE (1) 2023: 214-231 - [i11]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 abs/2302.07739 (2023) - [i10]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) - [i9]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) - [i8]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 abs/2307.16889 (2023) - [i7]Renyu Zhu, Chengcheng Han, Yong Qian, Qiushi Sun, Xiang Li, Ming Gao, Xuezhi Cao, Yunsen Xian:
Exchanging-based Multimodal Fusion with Transformer. CoRR abs/2309.02190 (2023) - [i6]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 abs/2311.14709 (2023) - 2022
- [c5]Renyu Zhu, Lei Yuan, Xiang Li, Ming Gao, Wenyuan Cai:
A Neural Network Architecture for Program Understanding Inspired by Human Behaviors. ACL (1) 2022: 5142-5153 - [c4]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 - [c3]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: 298-307 - [c2]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: 13242-13256 - [i5]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 abs/2205.07308 (2022) - [i4]Renyu Zhu, Lei Yuan, Xiang Li, Ming Gao, Wenyuan Cai:
A Neural Network Architecture for Program Understanding Inspired by Human Behaviors. CoRR abs/2206.04730 (2022) - [i3]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) - 2021
- [c1]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: 888-899 - [i2]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 abs/2112.08273 (2021) - 2020
- [i1]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 abs/2011.14333 (2020)
Coauthor Index
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