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ORCIDRui Xie 0003
Person information
- unicode name: 谢睿
- affiliation: Peking University, National Engineering Research Center for Software Engineering, Beijing, China
Other persons with the same name
- Rui Xie — disambiguation page
- Rui Xie 0001 — Chinese Academy of Sciences, State Key Laboratory of Remote Sensing Science, Beijing, China (and 1 more)
- Rui Xie 0002
![[0000-0001-9769-8131]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0001-9769-8131")
— University of Central Florida, Department of Statistics and Data Science, Oviedo, FL, USA (and 1 more) - Rui Xie 0004 — Hunan University, College of Economics and Trade, Changsha, China
- Rui Xie 0005 — Meituan, Beijing, China
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2020 – today
- 2024
[j1]Yidong Wang, Zhuohao Yu, Jindong Wang, Qiang Heng, Hao Chen, Wei Ye, Rui Xie, Xing Xie, Shikun Zhang:
Exploring Vision-Language Models for Imbalanced Learning. Int. J. Comput. Vis. 132(1): 224-237 (2024)- [c19]Xiaoling Zhou, Wei Ye, Yidong Wang, Chaoya Jiang, Zhemg Lee, Rui Xie, Shikun Zhang:
Enhancing In-Context Learning via Implicit Demonstration Augmentation. ACL (1) 2024: 2810-2828 - [c18]Wenjin Yao, Yidong Wang, Zhuohao Yu, Rui Xie, Shikun Zhang, Wei Ye:
PURE: Aligning LLM via Pluggable Query Reformulation for Enhanced Helpfulness. EMNLP (Findings) 2024: 8721-8744 - [c17]Yidong Wang, Zhuohao Yu, Wenjin Yao, Zhengran Zeng, Linyi Yang, Cunxiang Wang, Hao Chen, Chaoya Jiang, Rui Xie, Jindong Wang, Xing Xie, Wei Ye, Shikun Zhang, Yue Zhang:
PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization. ICLR 2024 - [c16]Xiaoling Zhou, Wei Ye, Zhemg Lee, Rui Xie, Shikun Zhang:
Boosting Model Resilience via Implicit Adversarial Data Augmentation. IJCAI 2024: 5653-5661 - [c15]Yupeng Wu, Tianxiang Hu, Ninglin Liao, Rui Xie, Minghui Zhang, Dongdong Du, Shujun Lin:
Leveraging In-and-Cross Project Pseudo-Summaries for Project-Specific Code Summarization. IJCNN 2024: 1-8 - [c14]Zhengran Zeng, Yidong Wang, Rui Xie, Wei Ye, Shikun Zhang:
CoderUJB: An Executable and Unified Java Benchmark for Practical Programming Scenarios. ISSTA 2024: 124-136 - [c13]Rui Xie, Linsen Ma, Alex Zhong, Feng Chen, Tong Zhang:
ZipCache: A DRAM/SSD Cache with Built-in Transparent Compression. MEMSYS 2024: 116-128 - [i13]Ye Wang, Xinrun Xu, Rui Xie, Wenxin Hu, Wei Ye:
Can Large Language Models Recall Reference Location Like Humans? CoRR abs/2402.17010 (2024) - [i12]Rui Xie, Zhengran Zeng, Zhuohao Yu, Chang Gao, Shikun Zhang, Wei Ye:
CodeShell Technical Report. CoRR abs/2403.15747 (2024) - [i11]Zhengran Zeng, Yidong Wang, Rui Xie, Wei Ye, Shikun Zhang:
CoderUJB: An Executable and Unified Java Benchmark for Practical Programming Scenarios. CoRR abs/2403.19287 (2024) - [i10]Xiaoling Zhou, Wei Ye, Zhemg Lee, Rui Xie, Shikun Zhang:
Boosting Model Resilience via Implicit Adversarial Data Augmentation. CoRR abs/2404.16307 (2024) - [i9]Xiaoling Zhou, Wei Ye, Yidong Wang, Chaoya Jiang, Zhemg Lee, Rui Xie, Shikun Zhang:
Enhancing In-Context Learning via Implicit Demonstration Augmentation. CoRR abs/2407.00100 (2024) - [i8]Rui Xie, Asad Ul Haq, Linsen Ma, Krystal Sun, Sanchari Sen, Swagath Venkataramani, Liu Liu, Tong Zhang:
SmartQuant: CXL-based AI Model Store in Support of Runtime Configurable Weight Quantization. CoRR abs/2407.15866 (2024) - 2023
- [c12]Chaoya Jiang, Rui Xie, Wei Ye, Jinan Sun, Shikun Zhang:
Exploiting Pseudo Image Captions for Multimodal Summarization. ACL (Findings) 2023: 161-175 - [c11]Linsen Ma, Rui Xie, Tong Zhang:
ZipKV: In-Memory Key-Value Store with Built-In Data Compression. ISMM 2023: 150-162 - [i7]Yidong Wang, Zhuohao Yu, Jindong Wang, Qiang Heng, Hao Chen, Wei Ye, Rui Xie, Xing Xie, Shikun Zhang:
Exploring Vision-Language Models for Imbalanced Learning. CoRR abs/2304.01457 (2023) - [i6]Chaoya Jiang, Rui Xie, Wei Ye, Jinan Sun, Shikun Zhang:
Exploiting Pseudo Image Captions for Multimodal Summarization. CoRR abs/2305.05496 (2023) - [i5]Yidong Wang, Zhuohao Yu, Zhengran Zeng, Linyi Yang, Cunxiang Wang, Hao Chen, Chaoya Jiang, Rui Xie, Jindong Wang, Xing Xie, Wei Ye, Shikun Zhang, Yue Zhang:
PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization. CoRR abs/2306.05087 (2023) - 2022
- [c10]Zheyu Ying, Jinglei Zhang, Rui Xie, Guochang Wen, Feng Xiao, Xueyang Liu, Shikun Zhang:
3Rs: Data Augmentation Techniques Using Document Contexts For Low-Resource Chinese Named Entity Recognition. IJCNN 2022: 1-8 - [c9]Rui Xie, Tianxiang Hu, Wei Ye, Shikun Zhang:
Low-Resources Project-Specific Code Summarization. ASE 2022: 68:1-68:12 - [i4]Rui Xie, Tianxiang Hu, Wei Ye, Shikun Zhang:
Low-Resources Project-Specific Code Summarization. CoRR abs/2210.11843 (2022) - 2021
- [c8]Rui Xie, Wei Ye, Jinan Sun, Shikun Zhang:
Exploiting Method Names to Improve Code Summarization: A Deliberation Multi-Task Learning Approach. ICPC 2021: 138-148 - [i3]Rui Xie, Wei Ye, Jinan Sun, Shikun Zhang:
Exploiting Method Names to Improve Code Summarization: A Deliberation Multi-Task Learning Approach. CoRR abs/2103.11448 (2021) - 2020
- [c7]Bo Li, Wei Ye, Zhonghao Sheng, Rui Xie, Xiangyu Xi, Shikun Zhang:
Graph Enhanced Dual Attention Network for Document-Level Relation Extraction. COLING 2020: 1551-1560 - [c6]Jinglei Zhang, Rui Xie, Wei Ye, Yuhan Zhang, Shikun Zhang:
Exploiting Code Knowledge Graph for Bug Localization via Bi-directional Attention. ICPC 2020: 219-229 - [c5]Wei Ye, Rui Xie, Jinglei Zhang, Tianxiang Hu, Xiaoyin Wang, Shikun Zhang:
Leveraging Code Generation to Improve Code Retrieval and Summarization via Dual Learning. WWW 2020: 2309-2319 - [i2]Wei Ye, Rui Xie, Jinglei Zhang, Tianxiang Hu, Xiaoyin Wang, Shikun Zhang:
Leveraging Code Generation to Improve Code Retrieval and Summarization via Dual Learning. CoRR abs/2002.10198 (2020)
2010 – 2019
- 2019
- [c4]Wei Ye, Bo Li, Rui Xie, Zhonghao Sheng, Long Chen, Shikun Zhang:
Exploiting Entity BIO Tag Embeddings and Multi-task Learning for Relation Extraction with Imbalanced Data. ACL (1) 2019: 1351-1360 - [c3]Xiangyu Xi, Tong Zhang, Wei Ye, Jinglei Zhang, Rui Xie, Shikun Zhang:
A Hybrid Character Representation for Chinese Event Detection. IJCNN 2019: 1-8 - [c2]Rui Xie, Long Chen, Wei Ye, Zhiyu Li, Tianxiang Hu, Dongdong Du, Shikun Zhang:
DeepLink: A Code Knowledge Graph Based Deep Learning Approach for Issue-Commit Link Recovery. SANER 2019: 434-444 - [i1]Wei Ye, Bo Li, Rui Xie, Zhonghao Sheng, Long Chen, Shikun Zhang:
Exploiting Entity BIO Tag Embeddings and Multi-task Learning for Relation Extraction with Imbalanced Data. CoRR abs/1906.08931 (2019) - 2011
- [c1]Wei Ye, Xuan Luo, Rui Xie, Haibin Zhang, Kaida Jiang, Yaohui Jin:
Combining sFlow and Tracker traffic analysis: A novel estimation approach for network-wide BitTorrent distribution. APNOMS 2011: 1-4
Coauthor Index
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last updated on 2024-12-17 21:51 CET by the dblp team
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