研究论文

Xiaomin Jing, Shaofu Lin, Zhisheng Huang, Extraction of Characteristics of Time in “Tree Hole” Data, Journal of Artificial Intelligence for Medical Sciences, 2020. https://doi.org/10.2991/jaims.d.201209.001 Yuan Fan, Yu Sihong, Yang Bingxiang, Huang Zhisheng, Ruan Juan, Application of Artificial Intelligence Technology in Depression and Suicide Management, Chinese Journal of General Practice, DOI: 10.12114/j.issn.1007-9572.2020.00.366, 2020 Vol. 23 (26): 3258-3262 GONG Jing-qiu, LIN Shao-fu, HUANG Zhisheng, Study on Spatial Characteristics of Data of Patients with Depression in "Tree Hole" of Microblog, Journal of China Digital Medicine, 15(04), pages 70-74, 2020. Pan Chen, Yuxing Qiang, Zhisheng Huang, et al., Negative emotional characteristics of Weibo "Tree Hole" users, Journal of Chinese Mental Health, 2020(05), pages 437-444, 2020. 陈盼，钱宇星，黄智生，赵超，刘忠纯，杨冰香，杨芳，张晓丽.微博“树洞”留言的负性情绪特征分析[J].中国心理卫生杂志，2020，34（5）：437-444. Zhisheng Huang, Qing Hu, Jinguang Gu, Jie Yang, Yuan Feng, and Gang Wang, Web-based Intelligent Agents for Suicide Monitoring and Early Warning, Journal of Chinese Digital Medicine, No.3, page 3-6, 2019. Zhisheng Huang, Yiwen Wen, Feng Lin, and Dan Xie, Characteristics of Suicide Information in Social Media, Journal of Chinese Digital Medicine, No.3, page 7-10, 2019. Fang Yang, Zhisheng Huang, Bingxiang Yang, Juan Ruan, Wentao Nie, and Shu Fang, Analysis of suicidal ideation of Weibo "Tree Hole" Users Based on Artificial Intelligence Technology, Journal of Nursing Science, Vol. 34, No. 24, pages 42-45, December 2019. 杨芳, 黄智生, 杨冰香, 阮娟, 聂文涛, 方舒, 基于人工智能技术的微博“树洞”用户自杀意念分析, 中国护理学杂志，2019 Fan Yuan, Sihong Yu, Bingxiang Yang, Zhisheng Huang, and Juan Ruan, Application of artificial intelligence technology in depression and suicide management, 2019. Xiaoli Zhao, Shaofu Lin and Zhisheng Huang, Text Classification of Micro-blog's "Tree Hole" Based on Convolutional Neural Network, Proceedings of the 2018 International Conference on Algorithms, Computing and Artificial Intelligence Article No. 61, Sanya, China, December 21 - 23, 2018, ACM New York, NY, USA 2018.