| Modeling the co-evolution of behaviors and social relationships using mobile phone data W Dong, B Lepri, A Pentland Proceedings of the 10th International Conference on Mobile and Ubiquitous …, 2011 | 180 | 2011 |
| Modeling Dynamical Influence in Human Interaction: Using data to make better inferences about influence within social systems W Pan, W Dong, M Cebrian, T Kim, JH Fowler, AS Pentland Signal Processing Magazine, IEEE 29 (2), 77-86, 2012 | 133 | 2012 |
| Using the influence model to recognize functional roles in meetings W Dong, B Lepri, A Cappelletti, AS Pentland, F Pianesi, M Zancanaro Proceedings of the 9th international conference on Multimodal interfaces …, 2007 | 131 | 2007 |
| Graph-coupled hmms for modeling the spread of infection W Dong, A Pentland, KA Heller arXiv preprint arXiv:1210.4864, 2012 | 72 | 2012 |
| Transformer-based conditional variational autoencoder for controllable story generation L Fang, T Zeng, C Liu, L Bo, W Dong, C Chen arXiv preprint arXiv:2101.00828, 2021 | 71 | 2021 |
| Implicit deep latent variable models for text generation L Fang, C Li, J Gao, W Dong, C Chen arXiv preprint arXiv:1908.11527, 2019 | 70 | 2019 |
| Modeling Functional Roles Dynamics in Small Group Interactions W Dong, B Lepri, F Pianesi, A Pentland IEEE Transactions on Multimedia 15 (1), 83-95, 2013 | 55* | 2013 |
| A Network Analysis of Road Traffic with Vehicle Tracking Data W Dong, A Pentland | 41 | 2009 |
| Modeling influence between experts W Dong, A Pentland Artifical Intelligence for Human Computing, 170-189, 2007 | 40 | 2007 |
| Analyzing and distinguishing fake and real news to mitigate the problem of disinformation A Vereshchaka, S Cosimini, W Dong Computational and mathematical organization theory 26, 350-364, 2020 | 38 | 2020 |
| Modeling infection with multi-agent dynamics W Dong, K Heller, AS Pentland International Conference on Social Computing, Behavioral-Cultural Modeling …, 2012 | 37 | 2012 |
| Virtual networks and poverty analysis in senegal N Pokhriyal, W Dong, V Govindaraju arXiv preprint arXiv:1506.03401, 2015 | 30 | 2015 |
| Multi-sensor data fusion using the influence model W Dong, A Pentland Wearable and Implantable Body Sensor Networks, 2006. BSN 2006. International …, 2006 | 29 | 2006 |
| Robust, cost-effective and scalable localization in large indoor areas T Guan, L Fang, W Dong, D Koutsonikolas, G Challen, C Qiao Computer Networks 120, 43-55, 2017 | 24 | 2017 |
| Modeling conversational dynamics and performance in a social dilemma task W Dong, B Lepri, T Kim, F Pianesi, AS Pentland 2012 5th International Symposium on Communications, Control and Signal …, 2012 | 24 | 2012 |
| PocketCare: Tracking the flu with mobile phones using partial observations of proximity and symptoms W Dong, T Guan, B Lepri, C Qiao Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2019 | 22 | 2019 |
| Mapping organizational dynamics with body sensor networks W Dong, D Olguin-Olguin, B Waber, T Kim 2012 Ninth International Conference on Wearable and Implantable Body Sensor …, 2012 | 22 | 2012 |
| Quantifying group problem solving with stochastic analysis W Dong, AS Pentland International Conference on Multimodal Interfaces and the Workshop on …, 2010 | 21* | 2010 |
| Optimizing transportation dynamics at a city-scale using a reinforcement learning framework L Khaidem, M Luca, F Yang, A Anand, B Lepri, W Dong IEEE Access 8, 171528-171541, 2020 | 17 | 2020 |
| Bayesian multi-type mean field multi-agent imitation learning F Yang, A Vereshchaka, C Chen, W Dong Advances in Neural Information Processing Systems 33, 2469-2478, 2020 | 17 | 2020 |
Alex `Sandy' PentlandProfessor MITVerified email at mit.edu
