Publications
Journals&Conferences
- Zhang, H., & Vorobeychik, Y. (2017). Empirically grounded agent-based models of innovation diffusion: a critical review. Artificial Intelligence Review, 1-35.
- Zhang, H., Vorobeychik, Y., Letchford, J., & Lakkaraju, K. (2016). Data-driven agent-based modeling, with application to rooftop solar adoption. Autonomous Agents and Multi-Agent Systems, 30(6), 1023-1049.
- Zhang, H. , Ren, Y. and Kraut, R. (2020) Mining and Predicting Temporal Patterns in the Quality Evolution of Wikipedia Articles. Hawaii International Conference on System Sciences (HICSS).
- Zhang, H., Vorobeychik, Y. and Procaccia, A. (2017). Multi-channel marketing with budget complementarities. International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 1232-1240.
- Zhang, H. and Vorobeychik, Y. (2016). Submodular optimization with routing constraints. AAAI Conference on Artificial Intelligence (AAAI), 819-825.
- Zhang, H., Vorobeychik, Y., Letchford, J., and Lakkaraju, K. (2015). Data-driven agent-based modeling, with application to rooftop solar adoption. International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 513-521.
- Zhang, H., Procaccia, A., and Vorobeychik, Y. (2015). Dynamic influence maximization under increasing returns to scale. International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 513-521. (Best Paper Award Finalist)
- Zhang, H. (2015) Data-driven agent-based modeling of innovation diffusion. International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2009-2010.
Workshops
- Zhang, H., Ren, Y. and Kraut, R. (2018). Identifying and Predicting Temporal Patterns in the Quality Evolution of Wikipedia Articles. Workshop on Information Systems and Economics (WISE), 6 pages.
- Zhang, H., Ren, Y. and Kraut, R. (2018). Deciphering the recursive relationships between quality and crowd size in online open collaboration. Workshop on Information Systems and Economics (WISE), 6 pages.
- Zhang, H., Ren, Y. and Kraut, R. (2018). Mining and predicting temporal patterns in the quality evolution of Wikipedia articles. Academy of Management (AOM), 37 pages.
- Zhang, H., Vorobeychik, Y., Letchford, J., and Lakkaraju, K. (2014). Predicting rooftop solar adoption using agent-based modeling. AAAI Fall Symposium on Energy Market Prediction, 8 pages.
- Clark, D.B., Killingsworth, S.S., Martinez-Garza, M., Eaton, G.V., Biswas, G., Kinnebrew, J.S., Sengupta, P., Krinks, K., Adams, D., Zhang, H. and Hughes, J. (2013). Digital games and science learning: design principles and processes to augment commercial game design conventions. AIED 2013 Workshop on Scaffolding in Open-Ended Learning Environments (OELEs), 8 pages.
Working Papers
- Zhang, H. , Kraut, R. and Ren, Y. NPOV or POV? Predicting editorial bias in Wikipedia. Work in Progress.
- Zhang, H. , Kraut, R. and Ren, Y. Modeling user contribution in peer production. Work in Progress.
- Zhang, H. , Ren, Y. and Kraut, R. Unpacking the impact of anti-vandalism tools in Wikipedia with agent-based simulation. Work in Progress.
- Zhang, H. , Kraut, R. and Ren, Y. Predicting crowd participation in open knowledge production. Under review.
- Ren, Y., Zhang, H. , Kraut, R. How Did Volunteer Editors Build the Free Online Encyclopedia: key insights and future directions. Under final preparation to be submitted to ACM Computing Surveys (CSUR).
- Zhang, H. , Ren, Y. and Kraut, R. Disentangling the Interplay among Article Quality, Crowd Size and Article Nomination in Wikipedia. Under review.
- Zhang, H. , Ren, Y. and Kraut, R. Mining and predicting temporal patterns in the quality evolution of Wikipedia articles. Information Systems Research (ISR), in preparation for 2nd round review.
