Exploiting Entity BIO Tag Embeddings and Multi-task Learning for Relation Extraction with Imbalanced Data. - Wei Ye 004; Bo Li 099; Rui Xie 003; Zhonghao Sheng; Long Chen; Shikun Zhang (ACL (1), 2019)

A Hybrid Character Representation for Chinese Event Detection. - Xiangyu Xi; Tong Zhang 001; Wei Ye 004; Jinglei Zhang; Rui Xie 003; Shikun Zhang (IJCNN, 2019)

DeepLink: A Code Knowledge Graph Based Deep Learning Approach for Issue-Commit Link Recovery. - Rui Xie 003; Long Chen; Wei Ye 004; Zhiyu Li; Tianxiang Hu; Dongdong Du; Shikun Zhang (SANER, 2019)

Graph Enhanced Dual Attention Network for Document-Level Relation Extraction. - Bo Li 099; Wei Ye 004; Zhonghao Sheng; Rui Xie 003; Xiangyu Xi; Shikun Zhang (COLING, 2020)

Exploiting Code Knowledge Graph for Bug Localization via Bi-directional Attention. - Jinglei Zhang; Rui Xie 003; Wei Ye 004; Yuhan Zhang; Shikun Zhang (ICPC, 2020)

Leveraging Code Generation to Improve Code Retrieval and Summarization via Dual Learning. - Wei Ye 004; Rui Xie 003; Jinglei Zhang; Tianxiang Hu; Xiaoyin Wang; Shikun Zhang (WWW, 2020)

Exploiting Method Names to Improve Code Summarization: A Deliberation Multi-Task Learning Approach. - Rui Xie 003; Wei Ye 004; Jinan Sun; Shikun Zhang (ICPC, 2021)

3Rs: Data Augmentation Techniques Using Document Contexts For Low-Resource Chinese Named Entity Recognition. - Zheyu Ying; Jinglei Zhang; Rui Xie 003; Guochang Wen; Feng Xiao; Xueyang Liu; Shikun Zhang (IJCNN, 2022)

Low-Resources Project-Specific Code Summarization. - Rui Xie 003; Tianxiang Hu; Wei Ye 004; Shikun Zhang (ASE, 2022)

Exploiting Pseudo Image Captions for Multimodal Summarization. - Chaoya Jiang; Rui Xie 003; Wei Ye 004; Jinan Sun; Shikun Zhang (ACL (Findings), 2023)

PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization. - Yidong Wang; Zhuohao Yu 001; Zhengran Zeng; Linyi Yang; Cunxiang Wang; Hao Chen 102; Chaoya Jiang; Rui Xie 003; Jindong Wang 001; Xing Xie 001; Wei Ye 004; Shikun Zhang; et al. (CoRR, 2023)

Enhancing In-Context Learning via Implicit Demonstration Augmentation. - Xiaoling Zhou; Wei Ye 004; Yidong Wang; Chaoya Jiang; Zhemg Lee; Rui Xie 003; Shikun Zhang (ACL (1), 2024)

PURE: Aligning LLM via Pluggable Query Reformulation for Enhanced Helpfulness. - Wenjin Yao; Yidong Wang; Zhuohao Yu 001; Rui Xie 003; Shikun Zhang; Wei Ye 004 (EMNLP (Findings), 2024)

PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization. - Yidong Wang; Zhuohao Yu 001; Wenjin Yao; Zhengran Zeng; Linyi Yang; Cunxiang Wang; Hao Chen 102; Chaoya Jiang; Rui Xie 003; Jindong Wang 001; Xing Xie 001; Wei Ye 004; et al. (ICLR, 2024)

Improving Long-Tail Vulnerability Detection Through Data Augmentation Based on Large Language Models. - Xiao Deng; Fuyao Duan; Rui Xie 003; Wei Ye 004; Shikun Zhang (ICSME, 2024)

Boosting Model Resilience via Implicit Adversarial Data Augmentation. - Xiaoling Zhou; Wei Ye 004; Zhemg Lee; Rui Xie 003; Shikun Zhang (IJCAI, 2024)

Leveraging In-and-Cross Project Pseudo-Summaries for Project-Specific Code Summarization. - Yupeng Wu; Tianxiang Hu; Ninglin Liao; Rui Xie 003; Minghui Zhang; Dongdong Du; Shujun Lin (IJCNN, 2024)

CoderUJB: An Executable and Unified Java Benchmark for Practical Programming Scenarios. - Zhengran Zeng; Yidong Wang; Rui Xie 003; Wei Ye 004; Shikun Zhang (ISSTA, 2024)

Can Large Language Models Recall Reference Location Like Humans? - Ye Wang; Xinrun Xu; Rui Xie 003; Wenxin Hu; Wei Ye 004 (CoRR, 2024)

CodeShell Technical Report. - Rui Xie 003; Zhengran Zeng; Zhuohao Yu 001; Chang Gao; Shikun Zhang; Wei Ye 004 (CoRR, 2024)

Exploring Vision-Language Models for Imbalanced Learning. - Yidong Wang; Zhuohao Yu 001; Jindong Wang 001; Qiang Heng; Hao Chen 102; Wei Ye 004; Rui Xie 003; Xing Xie 001; Shikun Zhang (Int. J. Comput. Vis., 2024)

All-Optical Nonlinear Diffractive Deep Network for Ultrafast Image Denoising. - Xiaoling Zhou; Zhemg Lee; Wei Ye 004; Rui Xie 003; Wenbo Zhang; Guanju Peng; Zongze Li; Shikun Zhang (CVPR, 2025)

Mitigating spurious correlations with causal logit perturbation. - Xiaoling Zhou; Wei Ye 004; Rui Xie 003; Shikun Zhang (Inf. Sci., 2025)

Seed&Steer: Guiding Large Language Models with Compilable Prefix and Branch Signals for Unit Test Generation. - Shuaiyu Zhou; Zhengran Zeng; Xiaoling Zhou; Rui Xie 003; Shikun Zhang; Wei Ye 004 (CoRR, 2025)