中南大学 Yang Liu

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[1] Liu Yang*, Bingyuan Xie, Jun Long, Wenti Huang, Shuyi Liu and Tingxuan Chen*. Attending to SPARQL Logs for Knowledge Representation Learning [C]. The 15th International Conference on Knowledge Science, Engineering and Management (2022 KSEM), August 6-8, Singapore, 2022. (CCF C类)
[2] Liu Yang, Yaowen Song, Zhifang Liao. WR-2DCNN: A Convolutional Neural Network Traffic Flow Prediction Model Based on Wavelet Reconstruction [J]. Physica A: Statistical Mechanics and its Application, 2022. (SCI 2区)
[3] Jun Long, Lei Liu, Hongxiao Fei, Yiping Xiang, Haoran Li, Wenti Huang*, Liu Yang*. Contextual Semantic-Guided Entity-Centric GCN for Relation Extraction [J]. Mathematics, 2022, 10, 1344: 1-16.
[4] Zhan Yang, Liu Yang, Wenti Huang, Longzhi Sun, JunLong. Enhanced Deep Discrete Hashing with semantic-visual similarity for image retrieval [J]. Information Processing & Management, 2021, 58(5),102648:1-15. (中科院1区TOP期刊)
[5] Zhan Yang, Liu Yang, Osolo lan Raymond, Lei Zhu, Wenti Huang, Zhifang Liao, Jun Long. NSDH: A Nonlinear Supervised Discrete Hashing framework for large-scale cross-modal retrieval [J]. Knowledge-Based Systems, 2021, 217(4), 106818:1-13. (中科院1区TOP期刊)
[6] Wenti Huang, Yiyu Mao, Liu Yang, Zhan Yang, Jun Long. Local-to-Global GCN with Knowledge-aware Representation for Distantly Supervised Relation Extraction [J]. Knowledge-Based Systems, 2021, 234,107565: 1-11.
[7] Jinyuan Zhao, Zhigang Hu, Bing Xiong, Liu Yang, Keqin Li. Modelling and Optimization of Packet Forwarding Performance in Software-Defined WAN [J]. Future Generation Computer Systems, 2020, 106(5): 412-425. (SCI, JCR Q1)
[8] Feiyun Zhu, Guo Jun, Zheng Xu, Peng Liao, Liu Yang, Junzhou Huang. Group-Driven Reinforcement Learning for Personalized mHealth Intervention. Medical Image Computing and Computer Assisted Intervention – MICCAI 2018, LNCS 11070.Chapter No: 68 Chapter 590-598.DOI:10.1007/978-3-030-00928-1_68
[9] Liu Yang, JunYu Zhang, XiaoLong Liu, TingXuan Chen, WuJi Lei. Predicting Residual Stress by Finding Peak Shape Using Artificial Neural Networks. 18th IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA-2020), England, UK, 17-19 December, 2020:663-640. (CCF C类, 大会报告)
[10] Liu Yang, Tingxuan Chen, Jun Long, Zhigang Hu, Shengli Sheng*. A Reachability Querying Method Based on Spanning Tree Modelling of Reduced DAG [C]. APWeb-WAIM 2020, September 18th-20th, Tianjin, China, 2020:145-153. (CCF C类，大会报告)
[11] Liu Yang, Zhou Chen, Yiqing Feng, Zhifang Liao, Zhigang Hu, Jun Long*. WLeidenRDF：RDF Data Query Method based on Semantic-Enhanced Graph-Clustering Algorithm [C]. The 14th International Symposium on Theoretical Aspects of Software Engineering (TASE 2020). December 11th-13th, Hangzhou, China, 2020:137-144. (CCF C类, 大会报告)
[12] Liu Yang, Li Wang, Zhigang Hu, Yanwen Wang, Jun Long*. Automatic Tagging for Open Source Software by Utilizing Package Dependency Information [C]. The 14th International Symposium on Theoretical Aspects of Software Engineering (TASE 2020). December 11th-13th, Hangzhou, China, 2020:33-40. (CCF C类, 大会报告)
[13] Liu Yang, Tongyong Liu, Zhigang Hu, Zhifang Liao, Jun Long. Min-Forest: Fast Reachability Indexing Approach for Large-Scale Graphs on Spark Platform [C]. 2018 the 25 the International Conference on Web Services (ICWS 2018). June 25th-30th, Seattle, USA. LNCS 10966: 437–454, 2018. (CCF B类会议, EI, 大会报告)
[14] Liu Yang, Liu Yang, Jiangbo Niu, Zhigang Hu, Jun Long, Meiguang Zheng. A Semantic Data Parallel Query Method Based on Hadoop[C]. In Proceedings Part I of 17th International Conference on Web Information Systems Engineering (WISE (1) 2016). Shanghai, China: Springer LNCS 10041, 7th-10th, November, 2016: 396-404. (CCF C类会议, EI, 大会报告）
[15] Liu Yang, Xiao Wen, Zhigang Hu, Chang Liu, Jun Long, Meiguang Zheng. A Scalable Parallel Semantic Reasoning Algorithm-Based on RDFS Rules on Hadoop[C]. In Proceedings Part I of 17th International Conference on Web Information Systems Engineering (WISE (1) 2016). Shanghai, China: Springer LNCS 10041, 7th-10th, November, 2016: 447-456. (CCF C类会议, EI, 大会报告）

total64 3/5

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