北大知识计算实验室
The Knowledge Computing Lab
The Knowledge Computing Lab
At The National Engineering Research Center for Software Engineering
Dr. Wei Ye is now an associate professor at National Engineering Research Center for Software Engineering, Peking University. In 2011, he obtained a doctorate degree from the School of Electronics Engineering and Computer Science, Peking University, working with Prof. Shikun Zhang. Wei Ye has a broad interest in real-world problems related to natural languages, knowledge graphs, and programming languages. More specifically, he is now conducting research into information extraction, natural language generation, and deep-learning-based program analysis.
The Knowledge Computing Lab at Peking University is part of National Engineering and Research Center for Software Engineering, where faculties, students and software engineers work together on advanced algorithms towards natural language understanding and programming language comprehension. Our research topics include, but are not limited to, relation extraction, sequence modeling, sentiment analysis, code knowledge graph, code summarization and code retrieval. We have won more than 10 awards in national and international AI competitions. We distinguish ourselves as being practice-oriented, as our researches have been applied in large-scale real-world projects in areas such as enterprise intelligence, medical AI, petition, legal system, and human resources.
We are looking for highly self-motivated students to work with us as PhD candidates (several positions open for 2024 Fall) or for Master's Degree. If you share our vision and are interested in working with us, please send your resume to wye#pku.edu.cn.
| No. | Title |
|---|---|
| 01 | Bo Li, Dingyao Yu, Wei Ye*, Jinglei Zhang, Shikun Zhang*. Sequence Generation with Label Augmentation for Relation Extraction. AAAI'23 (CCF Rank A, Full Paper) |
| 02 | Bo Li, Wei Ye*, Jinglei Zhang, Shikun Zhang*. Reviewing Labels: Label Graph Network with Top-k Prediction Set for Relation Extraction. AAAI'23 (CCF Rank A, Full Paper) |
| 03 | Xi Xiangyu, Jianwei Lv, Shuaipeng Liu, Wei Ye*, Fan Yang and Guanglu Wan. MUSIED: A Benchmark for Event Detection from Multi-Source Heterogeneous Informal Texts. EMNLP'22 (CCF Rank B, Full Paper) |
| 04 | Chaoya Jiang, Haiyang Xu, Chenliang Li, Ming Yan, Wei Ye*, Shikun Zhang*, Bin Bi and Songfang Huang. TRIPS:Efficient Vision-and-Language Pre-training with Text-relevant Patch Selection. EMNLP'22 (CCF Rank B, Full Paper) |
| 05 | Yidong Wang, Hao Chen, Yue Fan, Wang SUN, Ran Tao, Wenxin Hou, Renjie Wang, Linyi Yang, Zhi Zhou, Lan-Zhe Guo, Heli Qi, Zhen Wu, Yu-Feng Li, Satoshi Nakamura, Wei Ye, Marios Savvides, Bhiksha Raj, Takahiro Shinozaki, Bernt Schiele, Jindong Wang, Xing Xie, Yue Zhang. USB: A Unified Semi-supervised Learning Benchmark, NeurIPS'22 (CCF Rank A, Datasets and Benchmarks Track) |
| 06 | Botao Yu, Peiling Lu, Rui Wang, Wei Hu, Xu Tan, Wei Ye, Shikun Zhang, Tao Qin, Tie-Yan Liu. Museformer: Transformer with Fine- and Coarse-Grained Attention for Music Generation. NeurIPS'22 (CCF Rank A, Full Paper) |
| 07 | Peiyang Liu, Xi Xiangyu, Wei Ye* and Shikun Zhang. Label Smoothing for Text Mining, COLING'22 (CCF Rank B, Full Paper) |
| 08 | Zile Qiao, Wei Ye*, Tong Zhang, Tong Mo, Weiping Li and Shikun Zhang. Exploiting Hybrid Semantics of Relation Paths for Multi-hop Question Answering Over Knowledge Graphs, COLING'22 (CCF Rank B, Full Paper) |
| 09 | Yinyi Wei, Shuaipeng Liu, Jianwei Lv, Xi Xiangyu, Wei Ye*, Tong Mo, Fan Yang and Guanglu Wan. DESED: Dialogue-based Explanation for Sentence-level Event Detection, COLING'22 (CCF Rank B, Full Paper) |
| 10 | Rui Xie, Tianxiang Hu, Wei Ye*, Shikun Zhang*. Low-Resources Project-Specific Code Summarization, ASE'22 (CCF Rank A, Full Paper) |
| 11 | Xiangyu Xi, Chenxu Lv, Yuncheng Hua, Wei Ye*, Chaobo Sun, Shuaipeng Liu, Fan Yang, Guanglu Wan. A Low-Cost, Controllable and Interpretable Task-Oriented Chatbot: With Real-World After-Sale Services as Example. SIGIR'22 (CCF Rank A, Industry Track) |
| 12 | Zheyu Ying, Xueyang Liu*, Jinglei Zhang, Rui Xie, Guochang Wen, Xiongfeng Xiao, Shikun Zhang. 3Rs:Data Augmentation Techniques Using Document Contexts For Low-Resource Chinese Named Entity Recognition. IJCNN'22(CCF Rank C,full paper) |
| 13 | Tong Zhang, Wei Ye*, Baosong Yang, Long Zhang, Xingzhang Ren, Dayiheng Liu, Jinan Sun*, Shikun Zhang, Haibo Zhang, Wen Zhao. Frequency-Aware Contrastive Learning for Neural Machine Translation. AAAI'22 (CCF Rank A, Full Paper) |
| 14 | Peiyang Liu, Xi Wang, Sen Wang, Wei Ye*, Xiangyu Xi and Shikun Zhang. Improving Embedding-based Large-scale Retrieval via Label Enhancement. In EMNLP'21 (CCF Rank B, Findings) |
| 15 | Peiyang Liu, Xi Wang, Lin Wang, Wei Ye*, Xiangyu Xi and Shikun Zhang. Distilling Knowledge from BERT into Simple Fully Connected Neural Networks for Efficient Vertical Retrieval. In CIKM'21 (CCF Rank B, Applied Paper) |
| 16 | Xi Xiangyu, Wei Ye*, Shikun Zhang*, Quanxiu Wang, Huixing Jiang and Wei Wu. Capturing Event Argument Interaction via A Bi-Directional Entity-Level Recurrent Decoder. In ACL'21 (CCF Rank A, Full Paper) |
| 17 | Tong Zhang, Long Zhang, Wei Ye*, Bo Li, Jinan Sun, Shikun Zhang*, Xiaoyu Zhu and Wen Zhao. Point, Disambiguate and Copy: Incorporating Bilingual Dictionaries for Neural Machine Translation. In ACL'21 (CCF Rank A, Full Paper) |
| 18 | Luyao Ma, Yating Zhang, Tianyi Wang, Xiaozhong Liu, Wei Ye*, Changlong Sun and Shikun Zhang. Legal Judgment Prediction with Multi-Stage Case Representation Learning in the Real Court Setting. In SIGIR'21. (CCF Rank A, Full Paper) |
| 19 | Long Zhang, Tong Zhang, Haibo Zhang, Baosong Yang, Wei Ye* and Shikun Zhang. Multi-Hop Transformer for Document-Level Machine Translation. In NAACL'21. (CCF Rank C, Full Paper) |
| 20 | Peiyang Liu, Sen Wang, Xi Wang, Wei Ye*, Shikun Zhang, QuadrupletBERT: An Efficient Model For Embedding-Based Large-Scale Retrieval. In NAACL'21. (CCF Rank C, Short Paper) |
| 21 | Rui Xie, Wei Ye*, Jinan Sun, Shikun Zhang. Exploiting Method Names to Improve Code Summarization: A Deliberation Multi-Task Learning Approach, ICPC'21 (CCF Rank B, Full Paper) |
| 22 | Xiangyu Xi, Wei Ye*, Tong Zhang, Quanxiu Wang, Shikun Zhang, Huixing Jiang, Wei Wu. Improve Event Detection by Exploiting Label Hierarchy. In ICASSP'21 (CCF Rank B, Full Paper) |
| 23 | Tianxiang Hu, Jingxi Liang, Wei Ye*, Shikun Zhang. Keyword-Aware Encoder for Abstractive Text Summarization. In DASFAA’21 (CCF Rank B, Full Paper) |
| 24 | Bo Li, Wei Ye*, Canming Huang and Shikun Zhang. Multi-view Inference for Relation Extraction with Uncertain Knowledge. In AAAI'21 (CCF Rank A, Full Paper) |
| 25 | Zhonghao Sheng, Kaitao Song, Xu Tan, Yi Ren, Wei Ye*, Shikun Zhang and Tao Qin. Automatic Song Writing with Pre-training and Alignment Constraint. In AAAI'21 (CCF Rank A, Full Paper) |
| 26 | Shikun Zhang, Rui Xie, Wei Ye*, Long Chen. Keyword-Based Code Auto-Summarization. Journal of Computer Research and Development, 2020. (CCF Chinese Rank A) |
| 27 | Haixin Wang, Tianhao Zhang, Muzhi Yu, Jinan Sun, Wei Ye, Chen Wang, Shikun Zhang. Stacking Networks Dynamically for Image Restoration Based on the Plug-and-Play Framework. In ECCV'20. (CCF Rank B, Full Paper) |
| 28 | Bo Li, Wei Ye*, Zhonghao Sheng, Rui Xie, Xiangyu Xi and Shikun Zhang. Graph Enhanced Dual Attention Network for Document-Level Relation Extraction. In COLING'20. (CCF Rank B, Full Paper) |
| 29 | Wei Ye, Rui Xie, Jinglei Zhang, Tianxiang Hu, Xiaoying Wang, Shikun Zhang. Leveraging Code Generation to Improve Code Retrieval and Summarization via Dual Learning. In WWW'20. (CCF Rank A, Full Paper) |
| 30 | Jinglei Zhang, Rui Xie, Wei Ye*, Yuhan Zhang, Shikun Zhang. Exploiting Code Knowledge Graph for Bug Localization via Bi-directional Attention. In ICPC'20. (CCF Rank B, Full Paper) |
| 31 | Tong Zhang, Wei Ye*, Xiangyu Xi, Long Zhang, Shikun Zhang, Wen Zhao. Leveraging Human Prior Knowledge to Learn Sense Representations. in ECAI'20. (CCF B, Full Paper) |
| 32 | Haixin Wang, Xingzhang Ren, Jinan Sun, Wei Ye, Long Chen, Muzhi Yu, Shikun Zhang. Deep Dynamic Boosted Forest. In ACML'20. (CCF Rank C, Full Paper) |
| 33 | Bo Li, Zhonghao Sheng, Wei Ye*, Jinglei Zhang, Kai Liu and Shikun Zhang. Sliding Hierarchical Recurrent Neural Networks for Sequence Classification. In IJCNN'20. (CCF Rank C, Full Paper) |
| 34 | Peiyang Liu, Wei Ye*, Xiangyu Xi, Tong Wang and Shikun Zhang. Not All Synonyms Are Created Equal: Incorporating Similarity of Synonyms to Enhance Word Embeddings. In IJCNN'20. (CCF Rank C, Full Paper) |
| 35 | Wei Ye, Bo Li, Rui Xie, Zhonghao Sheng, Long Chen and Shikun Zhang. Exploiting Entity BIO Tag Embeddings and Multi-task Learning for Relation Extraction with Imbalanced Data. In ACL'19. (CCF Rank A, Full Paper) |
| 36 | Bo Li, Zehua Cheng, Zhenghua Xu, Wei Ye*, Thomas Lukasiewicz and Shikun Zhang. Long Text Analysis Using Sliced Recurrent Neural Network with Breaking Point Information Enrichment. In ICASSP'19 (CCF Rank B, Full Paper) |
| 37 | Rui Xie, Long Chen, Wei Ye*, Zhiyu Li, Tianxiang Hu, Dongdong Du and Shikun Zhang. DeepLink: A Code Knowledge Graph Based Deep Learning Approach for Issue-Commit Link Recovery. In SANER'19 (CCF Rank B, Full Paper) |
| 38 | Long Chen, Wei Ye* and Shikun Zhang. Capturing Source Code Semantics via Tree-based Convolution over API-enhanced AST. ACM International Conference on Computing Frontiers, 2019 (CCF Rank C, Full Paper) |
| 39 | Luyao Ma, Long Zhang, Wei Ye and Wenhui Hu. PKUSE at SemEval-2019 Task 3: Emotion Detection with Emotion-Oriented Neural Attention Network. In Proceedings of the 13th International Workshop on Semantic Evaluation(SemEval), 2019 |
