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)
