个人简介
研究方向1:自然语言处理。研究文本信息抽取(实体关系抽取、事件抽取等)、多模态信息处理。
研究方向2: 图表示学习。 研究图结构、数据特征学习与图数据挖掘。主要研究异质图表示学习与挖掘方法。
目前感兴趣并探索的方向还有联邦学习与联邦优化、模型压缩等。
教育简历
2018-2021 中国科学院大学 计算机应用技术 博士
2015-2018 北京邮电大学 计算机科学与技术 硕士
2010-2014 中国人民解放军国防科学技术大学 计算机科学与技术 学士
工作履历
2021-至今 北京工业大学 讲师
课程教学
数据库原理
主要论文论著
[1] Pei Quan, Lei Zheng, Wen Zhang, Yang Xiao, Lingfeng Niu, Yong Shi, “ExGAT: Context extended graph attention neural network”,Neural Networks: the official journal of the International Neural Network Society 181,(2025),106784,
[2] Yong Shi, Yuanying Zhang, Peng Zhang, Yang Xiao, Lingfeng Niu, “Federated learning with ℓ1 regularization”,Pattern Recognition Letters 172,(2023):Pages 15-21,
[3] Lin, Yuhan, Lingfeng Niu, Yang Xiao(Corresponding author) and Ruizhi Zhou. “Diluted Binary Neural Network.” Pattern Recognition (2023): 109556.
[4] Shi, Yong, Anda Tang, Yang Xiao and Lingfeng Niu. “A lightweight network for COVID-19 detection in X-ray images.” Methods 209 (2022): 29 - 37.
[5] Xiao Yang, Pei Quan, Minglong Lei and Lingfeng Niu. “Latent neighborhood-based heterogeneous graph representation.” Neural networks : the official journal of the International Neural Network Society 154 (2022): 413-424 .
[6] Shi, Yong, Pei Quan, Yang Xiao, Minglong Lei and Lingfeng Niu. “Graph Influence Network.” IEEE transactions on cybernetics (2023): 53(10), 6146–6159.
[7] Shi, Yong, Yuanying Zhang, Yang Xiao and Lingfeng Niu. “Optimization Strategies for Client Drift in Federated Learning: A review.” International Conference on Information Technology and Quantitative Management (2022).
[8] Zheng, Lei, Pei Quan, Minglong Lei, Yang Xiao and Lingfeng Niu. “Optimal Transport Guided Node Classification in Cross Networks.” International Conference on Information Technology and Quantitative Management (2022).
[9] Shi, Yong, Yang Xiao, Pei Quan, Minglong Lei and Lingfeng Niu. “Document-level relation extraction via graph transformer networks and temporal convolutional networks.” Pattern Recognit. Lett. 149 (2021): 150-156.
[10] Zheng, Lei, Yang Xiao and Lingfeng Niu. “A brief survey on Computational Gromov-Wasserstein distance.” International Conference on Information Technology and Quantitative Management (2021).
[11] Shi, Yong, Yang Xiao, Pei Quan, Minglong Lei and Lingfeng Niu. “Distant Supervision Relation Extraction via adaptive dependency-path and additional knowledge graph supervision.” Neural networks : the official journal of the International Neural Network Society 134 (2020): 42-53 .
[12] Guo, Shichao, Yang Xiao and Lingfeng Niu. “GGTAN: Graph Gated Talking-Heads Attention Networks for Traveling Salesman Problem.” 2020 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT) (2020): 676-681.
[13] Shi, Yong, Yang Xiao and Lingfeng Niu. “A Brief Survey of Relation Extraction Based on Distant Supervision.” International Conference on Conceptual Structures (2019).
[14] Yang, Hang, Yubo Chen, Kang Liu, Yang Xiao and Jun Zhao. “DCFEE: A Document-level Chinese Financial Event Extraction System based on Automatically Labeled Training Data.” Annual Meeting of the Association for Computational Linguistics (2018).