helloworld at ruc dot edu dot cn
研究领域: 自然语言处理, 深度学习
2007.09 - 2010.06 北京市第一七一中学
2010.09 - 2014.06 中国人民大学, 信息学院
理学学士 完成数学与应用数学,计算机科学与技术的学位课程
2014.09 - 2014.06 中国人民大学, DBIIR实验室
博士研究生 导师: 杜小勇教授 & 刘桃副教授
ICLR'16 Workshop Learning Document Embeddings by Predicting N-grams for Sentiment Classification of Long Movie Reviews [论文]
Bofang Li, Tao Liu, Xiaoyong Du, Deyuan Zhang, Zhe Zhao
ECAI'16 Cluster-Driven Model for Improved Word and Text Embedding [论文]
Zhe Zhao, Tao Liu, Bofang Li, Xiaoyong Du
APWEB'16 Distributed Text Representation with Weighting Scheme Guidance for Sentiment Analysis [论文]
Zhe Zhao, Tao Liu, Xiaoyun Hou, Bofang Li, Xiaoyong Du
APWEB'16 Demo A Text Retrieval System Based on Distributed Representations [论文]
Zhe Zhao, Tao Liu, Jun Chen, Bofang Li, Xiaoyong Du
COLING'16 Weighted Neural Bag-of-n-grams Model: New Baselines for Text Classification [论文]
Zhe Zhao*, Bofang Li*, Tao Liu, Puwei Wang, Xiaoyong Du
*Equal contribution
AAAI'17 Neural Bag-of-n-grams [论文]
Bofang Li, Tao Liu, Zhe Zhao, Puwei Wang, Xiaoyong Du
EMNLP'17 Ngram2vec: Learning Improved Word Representations from Ngram Co-occurrence Statistics [论文]
Zhe Zhao, Tao Liu, Shen Li, Bofang Li, Xiaoyong Du
EMNLP'17 Investigating Different Syntactic Context Types and Context Representations for Learning Word Embeddings [论文]
Bofang Li, Tao Liu, Zhe Zhao, ALeksandr Drozd, Anna Rogers, Buzhou Tang, Xiaoyong Du
EMNLP'17 Short paper Initializing Convolutional Filters with Semantic Features for Text Classification [论文]
Shen Li, Zhe Zhao, Tao Liu, Bofang Li, Renfen Hu, Xiaoyong Du
ACL'18 Short paper Analogical Reasoning on Chinese Morphological and Semantic Relations [论文]
Shen Li, Zhe Zhao, Renfen Hu, Wensi Li, Tao Liu, Xiaoyong Du
EMNLP'19 System UER: An Open-Source Toolkit for Pre-training Models [论文]
Zhe Zhao, Hui Chen, Jinbin Zhang, Xin Zhao, Tao Liu, Wei Lu, Xi Chen, Haotang Deng, Qi Ju, Xiaoyong Du
2009 第23届全国高中生化学竞赛一等奖(北京市前30名)
2013 中国人民大学大学生创新实践计划
2014, 2016, 2017 中国人民大学一等奖学金
2016 博士国家奖学金
2016 受到''中国人民大学拔尖创新人才培育资助计划''资助
2017 第一届 腾讯社交广告高校算法大赛 全国50强
2017 ngram2vec,用Python实现四种词向量模型,支持任意形式的上下文特征
2018 Chinese-Word-Vectors,上百种预训练中文词向量,github上2000+星
2018 OpenNMT-py 源码贡献者,OpenNMT-py是一款开源的神经机器翻译系统
2019 UER-py 预训练框架 & 预训练模型仓库