Department of Information and Decision Sciences
- Research Staff Member - IBM Research Almaden Labs (2014-2015)
- Intern - Microsoft Research (Summer 2012, Summer 2013)
- Intern - Avaya Research Labs (Summer 2011)
- IDS 561 - Big Data Analytics
My research interests are in the area of Social Computing, Machine Learning and Human-Computer Interaction (HCI). Specifically, my interdisciplinary research work focuses on analyzing and predicting large-scale, time-varying, heterogeneous human behaviors manifested in their online footprints at both individual and collective levels. My current and past projects include characterizing the effect of social media sharing for crowdfunding campaigns, and understanding and predicting people’s behaviors, sentiments and engagement with public events and life events.
My work has been featured in WIRED, ABC, PBS, The Seattle Times, FastCompany, Computer Magazine, ASU news, Neowin, etc.
“Embeddedness, Pro-Sociality, and Social Influence: Evidence from Online Crowdfunding.” Yili Hong, Yuheng Hu, Gord Burtch. MIS Quarterly (forthcoming)
“How Mood Affects the Effectiveness of TV Commercials.”
Tingting Nian, Yuheng Hu, Cheng Chen. In Proc. of the 11th International AAAI Conference on Weblogs and Social Media (ICWSM’17)
“BayesWipe: A Scalable Probabilistic Framework for Improving Data Quality.” Sushovan De, Yuheng Hu, Venkata Vamsikrishna Meduri, Yi Chen, Subbarao Kambhampati. In ACM Journal of Data and Information Quality (JDIQ), 2016.
“Predicting Perceived Brand Personality with Social Media.”
Anbang Xu, Haibin Liu, Liang Gou, Rama Akkiraju, Jalal Mahmud, Vibha Sinha, Yuheng Hu, Qiao Mu. In Proc. of the 10th International AAAI Conference on Weblogs and Social Media (ICWSM’16)
“Predicting User Engagement on Twitter with Real-World Events.” Yuheng Hu, Shelly Farnham, Kartik Talamadupula
In Proc. of the 9th International AAAI Conference on Weblogs and Social Media (ICWSM’15) (Full paper. Acceptance rate: 19%)
“Inferring Sentiment from Web Images with Joint Inference on Visual and Social Cues: A Regulated Matrix Factorization Approach” Yilin Wang, Yuheng Hu, Subbarao Kambhampati, Baoxin Li. In Proc. of the 9th International AAAI Conference on Weblogs and Social Media (ICWSM’15) (Full paper. Acceptance rate: 19%)
Best Paper, Nominee, CHI-13
Letter of Commendation, Recipient, President of Arizona State University
PhD - Arizona State University (2014)