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著作及章节

  • 朱廷劭(著). 大数据时代的心理学研究及应用. 科学出版社， 2016.3, 北京. ISBN 978-7-03-047532-9.
  • Tingshao Zhu, Goal-Directed Complete-Web Recommendation, ISBN 978-3-639-06268-7, VDM Verlag, 2008.
  • 高玉松, 朱廷劭. 手机使用行为与心理特征. In 葛列众(编), 工程心理学及其研究. 华东师范大学出版社， 2016.
  • Yusong Gao, He Li, Tingshao Zhu. Predicting Psychological Characteristics by Smartphone Usage Behaviors. In Z. Yan (Ed.), Encyclopedia of Mobile Phone Behavior (Volumes 1, 2, & 3). Hershey, PA: IGI Global, 2014. p. 424-441.
  • Minglong Lei, Weidong Liu, Yusong Gao, Tingshao Zhu. Mobile User Behaviors in China. In Z. Yan (Ed.), Encyclopedia of Mobile Phone Behavior (Volumes 1, 2, & 3). Hershey, PA: IGI Global, 2014. p. 1110-1129.


期刊

  • 邢付贵, 朱廷劭. (2020). 基于大规模语料库的古文词典构建及分词技术研究. 中文信息学报, (in press)
  • Feng, H., Huimin, D., Zeyu, L., Peijing, W., Meng, Z., Ang, L., & Tingshao, Z. (2020, 2020/10/10). BMC Public Health. (accepted; in press)
  • Jia Xue, Junxiang Chen, Chen Chen, Ran Hu, Tingshao Zhu. Abusers indoors and coronavirus outside: an examination of public discourse about COVID-19 and family violence on Twitter. J Med Internet Res 2020; doi: 10.2196/24361
  • Jia Xue, Junxiang Chen, Ran Hu, Chen Chen, Chengda Zheng, Yue Su, Tingshao Zhu*. Twitter discussions and emotions about COVID-19 pandemic: a machine learning approach. J Med Internet Res 2020; doi: 10.2196/20550
  • Yameng Wang, Nan Zhao, Xiaoqian Liu, Sinan Karaburun, Mario Chen, Tingshao Zhu*, 2020. Identifying Big Five Personality Traits through Controller Area Network Bus Data, Journal of Advanced Transportation, 2020. doi:https://doi.org/10.1155/2020/8866876
  • Jia Xue, Junxiang Chen, Chen Chen, Chengda Zheng, Sijia Li, Tingshao Zhu * (2020) Public discourse and sentiment during the COVID 19 pandemic: Using Latent Dirichlet Allocation for topic modeling on Twitter. PLoS ONE 15(9): e0239441.
  • Morelli, M., Chirumbolo, A., Bianchi, D., Baiocco, R., Cattelino, E., Laghi, F., Sorokowski, P., Misiak, M., Dziekan, M., Hudson, H., Marshall, A., Nguyen, T. T. T., Mark, L., Kopecky, K., Szotkowski, R., Toplu Demirtaş, E., Van Ouytsel, J., Walrave, M., Zhu, T., Chen, Y., Zhao, N., Liu, X., Voiskounsky, A., Bogacheva, N., Ioannou, M., Synnott, J., Tzani-Pepelasis, K., Balakrishnan, V., Okumu, M., Small, E., Nikolova, S. P., & Michelle Drouin (2020). The Role of HEXACO Personality Traits in Different Kinds of Sexting: A Cross-Cultural Study in 10 Countries. Computers in Human Behavior. Vol. 113:106502. https://doi.org/10.1016/j.chb.2020.106502
  • 黄 峰, 李赫, 丁慧敏, 吴胜涛, 刘明明, 刘天俐, 刘晓倩*, 朱廷劭*. (2020). 社会媒体大数据视角下经济发展对集体道德的影响模式. 科学通报, 2020, 65: 2062-2070. doi: 10.1360/TB-2019-0702.
  • Ang Li, Dongdong Jiao, Xiaoqian Liu, Tingshao Zhu. A Comparison of the Psycholinguistic Styles of Schizophrenia-Related Stigma and Depression-Related Stigma on Social Media: Content Analysis. J Med Internet Res 2020;22(4):e16470. doi: 10.2196/16470.
  • Xingyun Liu, Jiasheng Huang, Nancy Xiaonan Yu, Qing Li, Tingshao Zhu*. Mediation Effect of Suicide-Related Social Media Use Behaviors on the Association Between Suicidal Ideation and Suicide Attempt: Cross-Sectional Questionnaire Study. J. Med Internet Res 2020;22(4):e14940. doi: 10.2196/14940
  • Sijia Li, Yilin Wang, Jia Xue, Nan Zhao, Tingshao Zhu. 2020. The Impact of COVID-19 Epidemic Declaration on Psychological Consequences: A Study on Active Weibo Users. International Journal of Environmental Research and Public Health. 17(6):2032.
  • 赵楠, 王艺霖, 李思嘉, 刘晓倩, 吴佩璟, 朱廷劭*. 武汉“封城”对民众心理行为的影响与对策建议. 中国科学院院刊. 2020, 35(3):264-272.
  • 刘兴云, 刘晓倩, 向媛媛, 朱廷劭. 人工智能大数据之于心理学[J]. 科技导报, 2019, 37(21): 105-109.
  • 朱廷劭. (2019). 人工智能助力心理学研究的应用场景. 学术前沿, 2019,10(下): 48-53.
  • Mingming Liu, Tianli Liu, Xinyu Wang, Nan Zhao, Jia Xue & Tingshao Zhu (2019): A linguistic study of Chinese Weibo users who lost their only child, Death Studies, DOI:10.1080/07481187.2019.1686088.
  • Jingying Wang, Lei Zhang, Tianli Liu, Wei Pan, Bin Hu, Tingshao Zhu. (2019) Acoustic differences between healthy and depressed people: a cross-situation study. BMC Psychiatry, 2019 19:300. DOI: 10.1186/s12888-019-2300-7.
  • 李思嘉, 杨忆君, 吴胜涛, 朱廷劭. 基于人工智能的金庸之作家论研究[J]. 心理技术与应用, 2019, 7(10): 584-589.
  • 吴胜涛, 朱廷劭, 戴雨欣, 汪小芹. 达则兼济天下：基于文学智能分析的精英人物心理研究[J]. 心理技术与应用, 2019, 7(10): 590-596.
  • 韩 诺, 关增达, 杨 莉, 朱廷劭. 基于迁移学习的文学人物心理分析[J]. 心理技术与应用, 2019, 7(10): 605-613.
  • Xingyun Liu, Bingli Sun, Zhan Zhang, Yameng Wang, Haina Tang, Tingshao Zhu. (2019) Gait can reveal sleep quality with machine learning models. PLOS ONE 14(9): e0223012.


  • Ang Li, Dongdong Jiao, Xingyun Liu, Jiumo Sun, Tingshao Zhu. (2019). A Psycholinguistic Analysis of Responses to Live-Stream Suicides on Social Media. International Journal of Environmental Research and Public Health. 16(16):2848. DOI: 10.3390/ijerph16162848
  • Wei Pan, Jonathan Flint, Liat Shenhav, Tianli Liu, Mingming Liu, Bin Hu, Tingshao Zhu. (2019) Re-examining the robustness of voice features in predicting depression: Compared with baseline of confounders. PLOS ONE 14(6): e0218172. https://doi.org/10.1371/journal.pone.0218172
  • Nan Zhao, Zhan Zhang, Yameng Wang, Jingying Wang, Baobin Li, Tingshao Zhu, Yuanyuan Xiang. (2019) See your mental state from your walk: Recognizing anxiety and depression through Kinect-recorded gait data. PLoS ONE 14(5): e0216591. https://doi.org/10.1371/journal.pone.0216591
  • Xingyun Liu, Xiaoqian Liu, Jiumo Sun, Nancy Xiaonan Yu, Bingli Sun, Qing Li, Tingshao Zhu. Proactive Suicide Prevention Online (PSPO): Machine Identification and Crisis Management for Chinese Social Media Users With Suicidal Thoughts and Behaviors. J Med Internet Res 2019;21(5):e11705. DOI: 10.2196/11705
  • 刘明明, 刘天俐, 汪昕宇, 朱廷劭. (2019).基于社交网络行为分析的失独用户微博使用调查：追思、维权、抱团取暖. 人口与发展, 25(2), pp. 57-63.
  • 赵晓蕾,陈贵斌,朱廷劭,汪昕宇,陈雄鹰,刘天俐.从网络大数据视角探寻失独群体的社会服务需求——基于新浪微博数据的分析研究[J]. 劳动保障世界, 2018(02): 42-45.
  • 廖梓均,林是琦,宋新明,刘明明,赵晓蕾,陈贵斌,才汇荃, 汪昕宇, 朱廷劭,刘天俐. (2018). 基于微博研究失独者意义世界及影响因素. 人口与发展, 24(6), pp. 72-84.
  • Baobin Li, Changye Zhu, Shun Li and Tingshao Zhu. "Identifying Emotions from Non-Contact Gaits Information Based on Microsoft Kinects," IEEE Transactions on Affective Computing, 9(4), pp. 585-591, Oct.-Dec. 2018. doi: 10.1109/TAFFC.2016.2637343
  • Mingming Liu, Yufeng Wu, Dongdong Jiao, Michael Shengtao Wu, Tingshao Zhu; Literary intelligence analysis of novel protagonists’ personality traits and development, Digital Scholarship in the Humanities, 34(1), April 2019, pp.221-229.
  • 张滨熠, 周阳, 赵楠, & 朱廷劭. (2018). 基于微博大数据下的社会心态分析——以“青岛天价虾”事件为例. 城市与减灾(2), 26-29.
  • 潘玮, 汪静莹, 刘天俐, 刘晓倩, 刘明明, 胡斌, 朱廷劭. 基于语音的抑郁症识别研究. 科学通报. 2018, 63(20): 2081–2092, doi:10.1360/N972017-01250.
  • 吴育锋, 吴胜涛, 朱廷劭, 刘洪飞, 焦冬冬. 小说人物性格的文学智能分析: 以《平凡的世界》为例[J]. 中文信息学报, 2018, 32(7): 128-136.
  • 吴胜涛, 周阳, 傅小兰, 刘晓倩, 刘天俐, 朱廷劭. (2018). “一带一路”沿线文化与合作交往模式探究：基于社交媒体大数据的心理分析. 中国科学院院刊. 2018. 3. 33(3): 298-307.
  • Ang Li, Dongdong Jiao, Tingshao Zhu. (2018). Detecting depression stigma on social media: A linguistic analysis. Journal of Affective Disorders. May 2018, Volume 232. pp. 358-362.
  • Mingming Liu, Jia Xue, Nan Zhao, Xuefei Wang, Dongdong Jiao, Tingshao Zhu. (2018). Using Social Media to Explore the Consequences of Domestic Violence on Mental Health. Journal of Interpersonal Violence. Feb. 2018, https://doi.org/10.1177/0886260518757756
  • 林俐,魏筝,谭军,李玥漪,毕亚杰,张洪,朱廷劭.熬夜人群更容易焦虑和抑郁：一项基于微博数据的研究.[ChinaXiv:201803.00242]
  • 崔馨月,郑苑仪,王贝依,郭荣慧,丁照云,朱廷劭.金庸小说人物的大五人格—基于文心系统的15部金庸小说分析.[ChinaXiv:201802.00674]
  • Ang Li*, Xiaoxiao Huang, Dongdong Jiao, Bridianne O'Dea, Tingshao Zhu*, Helen Christensen. An analysis of stigma and suicide literacy in responses to suicides broadcast on social media. Asia‐Pacific Psychiatry. 2018;e12314.
  • 刘天俐,徐晨,章书婷,崔晓娜,朱廷劭. 近年来我国城乡居民社会心态的调查分析. 人口与发展. 2018.01. 24(1): 33-42.
  • 刘兴云, 焦冬冬, 张胸宽, 朱廷劭. 基于市民满意度的政府环保工作评估——以北京地区为例. 干旱区资源与环境. 2018. 01. 32(1):50-55.


  • 田玮, 朱廷劭(2018). 基于深度学习的微博用户自杀风险预测. 中国科学院大学学报, 2018.01, 35(1): 145-150.
  • Baobin Li, Changye Zhu, Shun Li and Tingshao Zhu. Identifying Emotions from Non-contact Gaits Information Based on Microsoft Kinects. IEEE Transactions on Affective Computing. (Accepted)
  • Ziying Tan, Xingyun Liu, Xiaoqian Liu, Qijin Cheng, Tingshao Zhu. (2017). Designing Microblog Direct Message to Engage Social Media Users with Suicide Ideation. Journal of Medical Internet Research. (in press)
  • 赵晓冬 朱廷劭 曾海军. 教育信息化的国际行动框架研究[J]. 中国远程教育,2017(10):20-25.
  • Li A, Huang X, Zhu T. A systematic analysis of online broadcasts of suicidality in China. Asia-Pacific Psychiatry. 2017;e12302. https://doi.org/10.1111/appy.12302
  • Zhou Yang, Zhang Lei, Liu Xiaoqian, Zhang Zhen, Bai Shuotian, and Zhu Tingshao. (2017). Predicting the Trends of Social Events on Chinese Social Media. Cyberpsychology, Behavior, and Social Networking. September 2017, 20(9): 533-539. https://doi.org/10.1089/cyber.2017.0142
  • Sun Bingli, Zhang Zhan, Liu Xingyun, Hu Bin, Zhu Tingshao. (2017). Self-esteem recognition based on gait pattern using Kinect. Gait and Posture. http://dx.doi.org/10.1016/j.gaitpost.2017.09.001
  • Cheng, Qijin & Li, Tim M.H. & Kwok, Chi-Leung & Zhu, Tingshao & Yip, Paul. (2017). Assessing Suicide Risk and Emotional Distress in Chinese Social Media: A Text Mining and Machine Learning Study. Journal of Medical Internet Research. 19. e243. 10.2196/jmir.7276.
  • 隋小芸, 朱廷劭, 汪静莹. 基于局部特征优化的语音情感识别. 中国科学院大学学报, 2017. 7, 34(4): 431-438.
  • 朱廷劭. 大数据在心理学研究中的应用. 中国计算机学会通讯. 2017.04, 13(4), p.10-14.
  • 周阳, 王雪菲, 白朔天, 赵楠, 朱廷劭. 基于网络平台的群体和个体的社会态度研究. 中国科学院院刊. 2017.02, 32(2):188-195.
  • 孙玖陌，张滨熠，朱廷劭. 基于社会媒体大数据的政府满意度评估. 中国党政干部论坛，2017.2: 75-77.
  • 赵晓冬,朱廷劭,江新. 学习风格与知识掌握状态的相关性研究[J]. 中国市场,2016(46):199-201.
  • 汪静莹, 甘硕秋, 赵楠, 刘天俐, 朱廷劭. 基于微博用户的情绪变化分析. 中国科学院大学学报, 2016.11，33(6)：815-824.
  • Xiaoqian Liu, Tingshao Zhu. (2016) Deep learning for constructing microblog behavior representation to identify social media user’s personality. PeerJ Computer Science 2:e81 https://doi.org/10.7717/peerj-cs.81.
  • Shun Li, Liqing Cui, Changye Zhu, Baobin Li, Nan Zhao, Tingshao Zhu. (2016) Emotion recognition using Kinect motion capture data of human gaits. PeerJ 4:e2364 https://doi.org/10.7717/peerj.2364
  • Nan Zhao, Dongdong Jiao, Shuotian Bai, Tingshao Zhu. (2016)Evaluating the validity of Simplified Chinese version of LIWC in detecting psychological expressions in short texts on Social Network Services. PLoS ONE 11(6): e0157947. doi:10.1371/journal.pone.0157947.
  • Zhan Zhang, Yufei Song, Liqing Cui, Xiaoqian Liu, Tingshao Zhu. (2016) Emotion recognition based on customized smart bracelet with built-in accelerometer. PeerJ 4:e2258 https://doi.org/10.7717/peerj.2258
  • Yusong Gao, Ang Li, Tingshao Zhu, Xiaoqian Liu, Xingyun Liu. (2016) How smartphone usage correlates with social anxiety and loneliness. PeerJ 4:e2197 https://doi.org/10.7717/peerj.2197
  • Xingyun Liu, Tingshao Zhu. (2016) "Comparing Online Personality of Americans and Chinese," International Journal of Cyber Behavior, Psychology and Learning (IJCBPL), 6(1), p.85-95.
  • 汪静莹，朱廷劭，郝碧波，刘天俐. 微博用户生活满意度微博语言及行为特征分析. 中国公共卫生，2016.2，32(2)：225-229.
  • Lin Qiu, Jiahui Lu, Jonathan Ramsay, Shanshan Yang, Weina Qu, and Tingshao Zhu. Personality expression in Chinese language use. Int J Psychol. 2016 Feb 10. doi: 10.1002/ijop.12259.
  • 王雪菲，程绮瑾，刘天俐，叶兆辉，朱廷劭. 微博用户家庭环境矛盾性与自杀意念关系. 中国公共卫生，2015(31): 41-47.
  • Lin Qiu, Jiahui Lu, Shanshan Yang, Weina Qu, Tingshao Zhu. What does your selfie say about you?[J]. COMPUTERS IN HUMAN BEHAVIOR,2015,52(0):443-449.
  • Nie, Dong, Zheng Yan, Nan Zhao and Tingshao Zhu. (2015) "A Pilot Study of Comparing Social Network Behaviors between Onlies and Others," International Journal of Cyber Behavior, Psychology and Learning (IJCBPL) 5 (3), doi:10.4018/IJCBPL.2015070105, p.56-66.
  • Meizhen Lv, Ang Li, Tainli Liu, Tingshao Zhu. (2015) Creating a Chinese suicide dictionary for identifying suicide risk on social media. PeerJ 3:e1455 https://doi.org/10.7717/peerj.1455
  • Xuefei Wang, Ang Li, Tingshao Zhu. Digital Detection of Suicide Risk on Social Media. International Journal of Emergency Mental Health and Human Resilience, 17(3), pp. 661-663, 2015.[ http://www.omicsonline.com/open-access/digital-detection-of-suicide-risk-on-social-media-1522-4821-1000281.php?aid=62603]
  • Nan Zhao, Ang Li, Tianli Liu, Qinglin Zhao, Baobin Li, Tingshao Zhu. Ecological validity: Predicting psychological profiles using Internet behavior, in Advances in Computational Psychophysiology (Science/AAAS, Washington, DC, 2015), p. 51-53.
  • Cheng, Qijin; Kwok, Chi L.; Zhu, Tingshao; Guan, Li; Yip, Paul S.F. "Suicide Communication on Social Media and Its Psychological Mechanisms: An Examination of Chinese Microblog Users." International Journal of Environmental Research and Public Health, 2015.12, no. 9: 11506-11527.
  • Li A, Huang X, Hao B, O’Dea B, Christensen H, Zhu T. (2015) Attitudes towards suicide attempts broadcast on social media: an exploratory study of Chinese microblogs. PeerJ 3:e1209 https://dx.doi.org/10.7717/peerj.1209
  • 朱廷劭，汪静莹，赵楠，刘晓倩. 论大数据时代的心理学研究变革. 新疆师范大学学报（哲学社会科学版）, 36(4), 2015, pp. 100-107.
  • 李昂, 郝碧波, 白朔天, 朱廷劭. 基于网络数据分析的心理计算: 针对心理健康状态与主观幸福感的研究. 科学通报, 2015, 60: 994-1001.
  • 管理, 郝碧波, 程绮瑾, 叶兆辉, 朱廷劭. 不同自杀可能性微博用户行为和语言特征差异解释性研究[J]. 中国公共卫生, 2015, 3: 029.
  • Guan L, Hao B, Cheng Q, et al. Identifying Chinese Microblog Users With High Suicide Probability Using Internet-Based Profile and Linguistic Features: Classification Model[J]. JMIR Mental Health, 2015, 2(2): e17.
  • 管理, 郝碧波, 刘天俐, 程绮瑾, 叶兆辉, 朱廷劭. 新浪微博用户中自杀死亡和无自杀意念者特征差异的研究[J]. 中华流行病学杂志, 2015, 36(5): 421-425.
  • 关增达, 程立, 朱廷劭. 基于平移不变核的异构迁移学习[J]. 中国科学院大学学报, 2015, 32(1): 121-126.
  • BAI Shuotian, HAO Bibo, LI Ang, NIE Dong, and ZHU Tingshao. Depression and Anxiety Prediction on Microblogs, 中国科学院大学学报, 北京, 2014, 31(6): 814-820.
  • 白朔天, 李昂, 胡泉, 袁莎, 程立, 朱廷劭. 多任务回归在社交媒体挖掘中的应用[J]. 哈尔滨工业大学学报, 2014, 9: 017.
  • Li, A., Yan, Z., & Zhu, T.. Self-report versus web-log: Which one is better to predict personality of website users? International Journal of Cyber Behavior, Psychology and Learning. (In Press)
  • Xinguo Xu, Wei Kang, Zhiqi Fang, Baohui Sun, Yan Wang, Tingshao Zhu*. Global and initiative safety mechanism in industrial control system. International Journal of Computational Science and Engineering, Vol. 9, Nos. 1/2, 2014, pp139-146.
  • Lin Li, Ang Li, Bibo Hao, Tingshao Zhu. Predicting Personality based on Weibo Behavior. PLoS ONE, January 22, 2014, DOI:10.1371/journal.pone.0084997.
  • 朱廷劭，李昂. 网络社会的行为规范. 科学与社会，第3卷，第4期，2013年12月. pp 23-31.
  • Li, A., Li, H., Guo, R., & Zhu, T. (2013). MobileSens: a ubiquitous psychological laboratory based on mobile device. International Journal of Cyber Behavior, Psychology and Learning, Vol. 3, No. 2, pp47-55, April-March 2013. [PDF]
  • Zhang Z*, Zhang J, Zhu T. Relationship between Internet Use and General Belief in a Just World among Chinese Retirees. Cyberpsychology, Behaviors, and Social Networking, 2013 Jul;16(7):553-8. doi:10.1089/cyber.2012.0542.
  • 李昂, 朱廷劭, 宁悦. (2013). 研究生抑郁情绪的网络自助心理咨询效果. 中国心理卫生杂志, 27(2), 145-146. [PDF]
  • 徐新国,朱廷劭,康卫,孙宝辉,房志奇,王焱.基于数据挖掘的工业控制系统防危机制研究.电子技术应用.2012.07.第38卷.第五期.
  • 朱廷劭，李昂，宁悦，周明洁，刘蓉晖，张建新，网络社会中个体人格特征及其行为关系，兰州大学学报（社科版）, Vol. 5, 2011, pp44-51.
  • 王晨升, 徐新国, 朱廷劭；基于IEC61131-3的通用工业组态软件系统设计研究, 控制工程, 2010年S1期。
  • Tingshao Zhu, Bin Hu, Jingzhi Yan, Xiaowei Li. Semi-Supervised Learning for Personalized Web Recommender System, Computing and Informatics, 29(4), 2010, pp617-627.

会议论文

2016

  • Changye Zhu, Baobin Li, Ang Li, Tingshao Zhu. Predicting Depression from Internet Behaviors by Time-frequency Features. 2016 IEEE/WIC/ACM International Conference on Web Intelligence (WI'16), October 2016, Omaha Nebraska, USA. (Accepted).
  • Zhang, Z., Cui, L., Liu, X.,& Zhu, T.(2016). Emotion detection using Kinect 3D facial points. 2016 IEEE/WIC/ACM International Conference on Web Intelligence (WI'16), October 2016, Omaha Nebraska, USA. (Accepted).
  • Yang Zhou, Tingting Lu, Tingshao Zhu, Zhenxiang Chen. Environmental Incidents Detection from Chinese Microblog based on Sentiment Analysis. Human-Centered Computing (HCC) 2016, Jan. 2016, Moratuwa Sri Lanka. LNCS 9567, pp. 849-854.
  • Wenwen Li, Yang Zhou, Tingting Lu, Tingshao Zhu. Predicting Mass Incidents from Weibo. Human-Centered Computing (HCC) 2016, Jan. 2016, Moratuwa Sri Lanka. LNCS 9567, pp. 895-900.
  • Liqing Cui, Shun Li, Tingshao Zhu. Emotion Detection from Natural Walking. Human-Centered Computing (HCC) 2016, Jan. 2016, Moratuwa Sri Lanka. LNCS 9567, pp. 23-33.


2015

  • Xiaowei Zhang, Li Cheng, Tingshao Zhu. Robust Multivariate Regression with Grossly Corrupted Observations and Its Application to Personality Prediction. The 7th Asian Conference on Machine Learning (ACML 2015), November 20-22, 2015, Hong Kong.
  • Xiaolei Huang, Xin Li, Lei Zhang, Tianli Liu, David Chiu, Tingshao Zhu, Topic Model for Identifying Suicidal Ideation in Chinese Microblog, The 29th Pacific Asia Conference on Language, Information and Computation (PACLIC’29). Shanghai, Oct. 2015.
  • Li, B., & Zhu, T. (2015). Visualization Analysis for Big Data in Computational CyberPsychology. In Q. Zu, B. Hu, N. Gu, & S. Seng (Eds.), Human Centered Computing (pp. 701–707).
  • Liu, X., Nie, D., Bai, S., Hao, B., & Zhu, T. (2015). Personality Prediction for Microblog Users with Active Learning Method. In Q. Zu, B. Hu, N. Gu, & S. Seng (Eds.), Human Centered Computing (pp. 41–54).
  • Zhang, L., Huang, X., Liu, T., Li, A., Chen, Z., & Zhu, T. (2015). Using Linguistic Features to Estimate Suicide Probability of Chinese Microblog Users. In Q. Zu, B. Hu, N. Gu, & S. Seng (Eds.), Human Centered Computing (pp.549–559).

2014

  • Dong Nie and Tingshao Zhu, Predicting Personality On Social Media with Semi-supervised Learning, WI 2014, August 2014. Warsaw, Poland.
  • Bibo Hao, Lin Li, Rui Gao, Ang Li, and Tingshao Zhu, Sensing Subjective Well-being from Social Media, AMT2014, August 2014. Warsaw, Poland.
  • Zengda Guan, Bibo Hao, Shuotian Bai, and Tingshao Zhu, Local Regression Transfer Learning for Users’ Personality Prediction,AMT2014, August 2014. Warsaw, Poland.
  • Yusong Gao, He Li, Tingshao Zhu (2014). Predicting Subjective Well-Being by Smartphone Usage Behaviors. 7th International Conference on Health Informatics HEALTHINF 2014 Mar 3-6 14 ESEO, Angers, Loire Valley, France (HEALTHINF 2014). [PDF]

2013

  • Ang Li, Fan Zhang, Tingshao Zhu. Web Use Behaviors for Identifying Mental Health Status. The 2013 International Conference on Brain and Health Informatics (BHI 2013). October 2013, Maebashi, Japan.
  • Li, A., & Zhu, T. (2013). To be extraverted or introverted extravert on Internet community?: A moderating role of using real-life portrait as facial picture. In 2013 8th International Conference on Pervasive Computing and Applications-5th Symposium on Web Society (ICPCA-SWS 2013). [PDF]
  • Gao, R., Hao, B., Li, H., Gao, Y., & Zhu, T. (2013). Developing Simplified Chinese Psychological Linguistic Analysis Dictionary for Microblog. In Brain and Health Informatics (pp. 359-368). Springer International Publishing. [PDF]
  • Rui Gao, Lin Li, Bibo Hao, Ang Li, Shuotian Bai, Tingshao Zhu. Improving User Profile with Personality Traits Predicted from Social Media Content. ACM Recommender System conference, 2013, Oct, 2013. Hong Kong. [PDF]
  • Guan,Z., Bai, S., & Zhu, T.(2013). Heterogeneous Domain Adaptation using Linear Kernel. In 2013 8th International Conference on Pervasive Computing and Applications-5th Symposium on Web Society (ICPCA-SWS 2013).
  • Shuotian Bai, Bibo Hao, Ang Li, Sha Yuan, and Tingshao Zhu, Predicting Big Five Personality Traits of Microblog Users, Web Intelligence 2013, Nov. 2013 Atlanta, USA. [PDF]
  • Bibo Hao, Lin Li, Ang Li, and Tingshao Zhu. Predicting Mental Health Status on Social Media - A Preliminary Study on Microblog. HCI International 2013. Las Vegas, NV, USA, July 2013. LNCS 8024, pp. 101–110, 2013. [PDF]
  • Dong Nie, Zengda Guan, Ang Li and Tingshao Zhu. Your Search and Your Personality. In Proceedings of International Conference on Pervasive Computing and Application, 2013 Chile.
  • Dong Nie, Ang Li, Bibo Hao, Tingshao Zhu. Personality Traits and Microblogging Behavior of Weibo Users: Onlies versus Others. ACM Web Science 2013. May 2013, Paris. [PDF]
  • Dong Nie, Lin Li, Tingshao Zhu. Conscientiousness Measurement from Weibo’s Public Information. Partial Supervised Learning 2013, NanJing. [PDF]
  • Dong Nie, LinZi Hong and Tingshao Zhu. Movie Recommendation Using Unrated Data. In IEEE 2013 Proceedings of International Conference on Machine Learning and Application, Miami, America. [PDF]

2012

  • Shuotian Bai, Rui Gao, and Tingshao Zhu.: Determining Personality Traits from RenRen Status Usage Behavior. In Proceedings of Computational Visual Media Conference, CVM 2012, LNCS 7633, 226–233. [PDF]
  • Shuotian Bai, Yue Ning, Sha Yuan, and Tingshao Zhu.: Predicting Reader's Emotion on Chinese Web News Articles. In proceedings of 7th International Conference on Pervasive Computing and Applications, ICPCA, Nov. 2012, Istanbul, Turkey. [PDF]
  • Dong Nie, Yue Ning, Tingshao Zhu. Predicting Mental Health Status in the Context of Web Browsing. WI workshop on Web Personalization, Recommender Systems and Social Media, 2012, Macau. [PDF]
  • Zengda Guan, Tingshao Zhu. An Overview of Transfer Learning and Computational CyberPsychology. SWS2012, Nov. 2012, Istanbul, Turkey. [PDF]

2011

  • Rui Guo, Tingshao Zhu, Yu Wang, Xinguo Xu. MobileSens: A Framework of Behavior Logger on Android Mobile Device. 6th International Conference on Pervasive Computing and Application (ICPCA). Oct. 2011, Port Elizabeth, South Africa.
  • Xinguo Xu, Tingshao Zhu, Ruiquan Zhang, Li Lin, Ang Li, Wei Kang, Zhiqi Fang, Yue Ning, Yu Wang and . Pervasive Mental Health Self-help based on Cognitive-Behavior Therapy and Machine Learning. In Proceedings of 2011 6th International Conference on Pervasive Computing and Applications, ICPCA 2011.P212-219. October 26-28, 2011. Port Elizabeth, South Africa.
  • Fan Zhang, Tingshao Zhu, Ang Li, Yilin Li, and Xinguo Xu. A Survey of Web Behavior and Mental Health. In Proceedings of 2011 6th International Conference on Pervasive Computing and Applications, ICPCA 2011. 189-195. October 26-28, 2011. Port Elizabeth, South Africa.
  • Yilin Li, Tingshao Zhu, Ang Li and Xinguo Xu. Web Behavior and Personality : A Review. In Proceedings of 2011 3rd Symposium on Web Society (SWS2011). P81-87. October 26-28, 2011, Port Elizabeth, South Africa.
  • Tingshao Zhu, Yue Ning, Ang Li. Using Decision Tree to Predict Mental Health Status based on Web Behavior. In Proceedings of 2011 3rd Symposium on Web Society (SWS2011). P27-31. October 26-28, 2011, Port Elizabeth, South Africa.
  • Yue Ning, Ang Li, Tingshao Zhu. Are Online Mood Labels A True Reflection of Our Experiences? In Proceedings of 2011 3rd Symposium on Web Society (SWS2011). P21-26. October 26-28, 2011, Port Elizabeth, South Africa.
  • Tingshao Zhu, Ang Li, Yue Ning, and Zengda Guan. Predicting Mental Health Status based on Web Usage Behavior. In Proceedings of 2011 International Conference on Active Media Technology (AMT'11). P186-194. September 7-9, 2011, Lanzhou, China. [PDF]
  • Qi Zhang, Zhuohong Zhu, Tingshao Zhu, Jiuling Xin, Shujuan Wang, Weichen Zhang, Ang Li, Yilin Li, Shan Tang, and Yuxi Pei. Constructing the Internet Behavior Ontology: Projection from Psychological Phenomena with Qualitative and Quantitative Methods. 2010 International Conference on Active Media Technology (AMT 2011), Sept. 2011, Lanzhou China.

2010

  • Yue Ning, Tingshao Zhu, Yan Wang. Affective-Word based Chinese Text Sentiment Classification. In proceedings of 5th International Conference on Pervasive Computing and Applications (ICPCA2010). Dec. 2010, Maribor, Slovenia.
  • Zhiqi Fang, Yue Ning, Tingshao Zhu. Hot Keyword Identification for ExtractingWeb Public Opinion. In proceedings of 5th International Conference on Pervasive Computing and Applications (ICPCA2010). Dec. 2010, Maribor, Slovenia.

2009

  • Jingzhi Yan, Bin Hu, Heping Zhang, Tingzhao Zhu, Xiaowei Li. Forbidden subgraph and perfect path-matchings, The 1st IEEE Symposium on Web Society, August 2009, Lanzhou, China.
  • Fang Zheng, Bin Hu, Li Liu, Tingshao Zhu, Yongchang Lee, Yanbin Qi. Fuzzy Logic in Exploring Data Effects: A Way to Unveil Uncertainty in EEG feedback, HCI International 2009, July 2009, San Diego, CA, USA.
  • Tingshao Zhu, Russ Greiner. LILAC — Learn from Internet: Log, Annotation, and Content, AAAI Spring 2009 Symposium, March 2009, Palo Alto, CA.
  • Xiaowei Li, Bin Hu, Tingshao Zhu, Jingzhi Yan, Fang Zheng, Towards Affective Learning with an EEG Feedback Approach, 1st ACM International Workshop on Multimedia Technologies for Distance Learning(MTDL2009), 2009, Beijing, China, pp. 33-38.
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