宋恒杰 - 华南理工大学

个人简介

宋恒杰教授长期从事人工智能、数据挖掘技术在搜索引擎、互联网广告中的理论、应用研究工作。其主要研究内容包括——以互联网海量用户行为数据为基础，在设计、实现用户行为模型/算法的基础上，实现互联网用户行为深度分析与预测。近年来，申请人以第一作者/通讯作者在中国计算机学会推荐A类/B类国际学术会议发表20余篇学术论文。上述研究成果已应用于多个工程项目，并产出一定的经济效益。学历博士（计算机工程），新加坡南洋理工大学日本学术振兴会特别研究员（JSPS Fellow）, 京都大学教学经历主讲人工智能、分布式智能软件2门本科生课程；领域软件系统、复杂信息处理技术、高级人工智能3门研究生课程工作经历中国航天科工集团第510研究所比利时校际微电子研究中心（IMEC）百度在线网络技术（北京）有限公司日本京都大学科研项目基于行为定向的电子商务平台展示广告精准投放技术研究国家自然科学基金委移动互联网垃圾广告的检测及过滤技术研发教育部针对复杂系统仿真模糊不确定性与随机不确定性的评估方法研究广东省自然科学基金基于张量分析与迁移计算的电子商务平台用户行为分广州市科创委中新国际联合研究院(华南理工大学-南洋理工大学) “人工智能+健康养老技术研究”

研究领域

数据挖掘、人工智能

近期论文

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Siyu Jiang, Yonghui Xu, Tengyun Wang, Haizhi Yang, Shaojian Qiu, Han Yu, Hengjie Song:Multi-Label Metric Transfer Learning Jointly Considering Instance Space and Label Space Distribution Divergence. IEEE Access 7: 10362-10373 (2019) Qianyu Li, Xiaoli Tang, Tengyun Wang, Haizhi Yang, Hengjie Song:Unifying Task-Oriented Knowledge Graph Learning and Recommendation. IEEE Access 7: 115816-115828 (2019) Tengyun Wang, Haizhi Yang, Han Yu, Wenjun Zhou, Yang Liu, Hengjie Song:A Revenue-Maximizing Bidding Strategy for Demand-Side Platforms. IEEE Access 7: 68692-68706 (2019) Pengfei Zhang, Yi Cai, Junying Chen, Wenhao Chen, Hengjie Song:Combining Part-of-Speech Tags and Self-Attention Mechanism for Simile Recognition. IEEE Access 7: 163864-163876 (2019) Xiaoli Tang, Tengyun Wang, Haizhi Yang, Hengjie Song:AKUPM: Attention-Enhanced Knowledge-Aware User Preference Model for Recommendation. KDD 2019: 1891-1899 Fei Liu, Siyuan Chen, Monika Heiner, Hengjie Song:Modeling biological systems with uncertain kinetic data using fuzzy continuous Petri nets. BMC Systems Biology 12(4): 63-74 (2018) Siyu Jiang, Yonghui Xu, Hengjie Song, Qingyao Wu, Michael K. Ng, Huaqing Min, Shaojian Qiu:Multi-instance transfer metric learning by weighted distribution and consistent maximum likelihood estimation. Neurocomputing 321: 49-60 (2018) Yonghui Xu, Sinno Jialin Pan, Hui Xiong, Qingyao Wu, Ronghua Luo, Huaqing Min, Hengjie Song: A Unified Framework for Metric Transfer Learning. IEEE Trans. Knowl. Data Eng. 29(6): 1158-1171 (2017) Yonghui Xu, Huaqing Min, Hengjie Song, Qingyao Wu: Multi-instance multi-label distance metric learning for genome-wide protein function prediction. Computational Biology and Chemistry 63: 30-40 (2016) Qingyao Wu, Mingkui Tan, Hengjie Song, Jian Chen, Michael K. Ng:ML-FOREST: A Multi-Label Tree Ensemble Method for Multi-Label Classification. IEEE Trans. Knowl. Data Eng. 28(10): 2665-2680 (2016) Hengjie Song, Yonghui Xu, Huaqing Min, Qingyao Wu, Wei Wei, Jianshu Weng, Xiaogang Han, Qiang Yang, Jialiang Shi, Jiaqian Gu, Chunyan Miao, Toyoaki Nishida: Individual Judgments Versus Consensus: Estimating Query-URL Relevance. ACM TWEB 10(1): 3:1-3:21 (2016) Toyoaki Nishida, Masakazu Abe, Takashi Ookaki, Divesh Lala, Sutasinee Thovutikul, Hengjie Song, Yasser F. O. Mohammad, Christian Nitschke, Yoshimasa Ohmoto, Atsushi Nakazawa, Takaaki Shochi, Jean-Luc Rouas, Aurélie Bugeau, Fabien Lotte, Zuheng Ming, Geoffrey Letournel, Marine Guerry, Dominique Fourer: Synthetic Evidential Study as Augmented Collective Thought Process - Preliminary Report. ACIIDS (1) 2015: 13-22 Xiaogang Han, Wei Wei, Chunyan Miao, Jian-Ping Mei, Hengjie Song:Context-Aware Personal Information Retrieval From Multiple Social Networks. IEEE Comp. Int. Mag. 9(2): 18-28 (2014) Xiaogang Han, Wenjun Zhou, Xing Jiang, Hengjie Song, Ming Zhong, Toyoaki Nishida: Utilizing URLs Position to Estimate Intrinsic Query-URL Relevance. ICDM 2013: 251-260 Hengjie Song, Ruoxue Liao, Xiangliang Zhang, Chunyan Miao, Qiang Yang:A Mouse-Trajectory Based Model for Predicting Query-URL Relevance. AAAI 2012 Hengjie Song, Chunyan Miao, Zhiqi Shen, Roel Wuyts, Maja D'Hondt, Francky Catthoor: A probabilistic fuzzy approach to modeling nonlinear systems. Neurocomputing 74(6): 1008-1025 (2011) Hengjie Song, Chunyan Miao, Zhiqi Shen: Generating True Relevance Labels in Chinese Search Engine Using Clickthrough Data. AAAI 2011 Hengjie Song, Chunyan Miao, Zhiqi Shen, Roel Wuyts, Maja D'Hondt, Francky Catthoor: Design of fuzzy cognitive maps using neural networks for predicting chaotic time series. Neural Networks 23(10): 1264-1275 (2010) Hengjie Song, Chunyan Miao, Roel Wuyts, Zhiqi Shen, Francky Catthoor:Implementation of Fuzzy Cognitive Maps Based on Fuzzy Neural Network and Application in Prediction of Time Series. IEEE Trans. Fuzzy Systems 18(2): 233-250 (2010) Hengjie Song, Chunyan Miao, Zhiqi Shen, Yuan Miao, Bu-Sung Lee:A fuzzy neural network with fuzzy impact grades. Neurocomputing 72(13-15): 3098-3122 (2009)