On Disambiguating Authors: Collaboration Network Reconstruction in a Bottom-up Manner. - Na Li; Renyu Zhu; Xiaoxu Zhou; Xiangnan He 001; Wenyuan Cai; Ming Gao 001; Aoying Zhou (ICDE, 2021)

A Neural Network Architecture for Program Understanding Inspired by Human Behaviors. - Renyu Zhu; Lei Yuan; Xiang Li 067; Ming Gao 001; Wenyuan Cai (ACL (1), 2022)

CAT-probing: A Metric-based Approach to Interpret How Pre-trained Models for Programming Language Attend Code Structure. - Nuo Chen 002; Qiushi Sun; Renyu Zhu; Xiang Li 067; Xuesong Lu; Ming Gao 001 (EMNLP (Findings), 2022)

Programming Knowledge Tracing: A Comprehensive Dataset and A New Model. - Renyu Zhu; Dongxiang Zhang; Chengcheng Han 004; Ming Gao 001; Xuesong Lu; Weining Qian; Aoying Zhou (ICDM (Workshops), 2022)

Finding Global Homophily in Graph Neural Networks When Meeting Heterophily. - Xiang Li 067; Renyu Zhu; Yao Cheng; Caihua Shan; Siqiang Luo; Dongsheng Li 002; Weining Qian (ICML, 2022)

When Gradient Descent Meets Derivative-Free Optimization: A Match Made in Black-Box Scenario. - Chengcheng Han 004; Liqing Cui; Renyu Zhu; Jianing Wang 002; Nuo Chen 002; Qiushi Sun; Xiang Li 067; Ming Gao 001 (ACL (Findings), 2023)

Personalized Programming Guidance Based on Deep Programming Learning Style Capturing. - Yingfan Liu; Renyu Zhu; Ming Gao 001 (ICCSE (1), 2023)

Meta-Learning Triplet Network with Adaptive Margins for Few-Shot Named Entity Recognition. - Chengcheng Han 004; Renyu Zhu; Jun Kuang; Fengjiao Chen; Xiang Li 067; Ming Gao 001; Xuezhi Cao; Wei Wu (CoRR, 2023)

Rethinking Noisy Label Learning in Real-world Annotation Scenarios from the Noise-type Perspective. - Renyu Zhu; Haoyu Liu; Runze Wu 001; Minmin Lin; Tangjie Lv; Changjie Fan; Haobo Wang 001 (CoRR, 2023)

Exchanging-based Multimodal Fusion with Transformer. - Renyu Zhu; Chengcheng Han 004; Yong Qian; Qiushi Sun; Xiang Li 067; Ming Gao 001; Xuezhi Cao; Yunsen Xian (CoRR, 2023)

Towards Long-term Annotators: A Supervised Label Aggregation Baseline. - Haoyu Liu; Fei Wang 063; Minmin Lin; Runze Wu 001; Renyu Zhu; Shiwei Zhao; Kai Wang 064; Tangjie Lv; Changjie Fan (CoRR, 2023)

Conjoin after Decompose: Improving Few-Shot Performance of Named Entity Recognition. - Chengcheng Han 004; Renyu Zhu; Jun Kuang; Fengjiao Chen; Xiang Li 067; Ming Gao 001; Xuezhi Cao; Yunsen Xian (LREC/COLING, 2024)

Make Prompt-based Black-Box Tuning Colorful: Boosting Model Generalization from Three Orthogonal Perspectives. - Qiushi Sun; Chengcheng Han 004; Nuo Chen 002; Renyu Zhu; Jingyang Gong; Xiang Li 067; Ming Gao 001 (LREC/COLING, 2024)

Structure-aware Fine-tuning for Code Pre-trained Models. - Jiayi Wu 001; Renyu Zhu; Nuo Chen 002; Qiushi Sun; Xiang Li 067; Ming Gao 001 (LREC/COLING, 2024)

A Dataset for the Validation of Truth Inference Algorithms Suitable for Online Deployment. - Fei Wang 063; Haoyu Liu; Haoyang Bi; Xiangzhuang Shen; Renyu Zhu; Runze Wu 001; Minmin Lin; Tangjie Lv; Changjie Fan; Qi Liu 003; Zhenya Huang; Enhong Chen (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 002; Chengcheng Han 004; Renyu Zhu; Shuai Yuan; Qipeng Guo; Xipeng Qiu; et al. (CoRR, 2024)

Digital Player: Evaluating Large Language Models based Human-like Agent in Games. - Jiawei Wang; Kai Wang 064; Shaojie Lin; Runze Wu 001; Bihan Xu; Lingeng Jiang; Shiwei Zhao; Renyu Zhu; Haoyu Liu; Zhipeng Hu; Zhong Fan; Le Li; et al. (CoRR, 2025)

The Effects of Data Augmentation on Confidence Estimation for LLMs. - Rui Wang 076; Renyu Zhu; Minmin Lin; Runze Wu 001; Tangjie Lv; Changjie Fan; Haobo Wang 001 (CoRR, 2025)