| The DARPA Twitter bot challenge VS Subrahmanian, A Azaria, S Durst, V Kagan, A Galstyan, K Lerman, ... Computer 49 (6), 38-46, 2016 | 358 | 2016 |
| Efficient Estimation of Mutual Information for Strongly Dependent Variables S Gao, G Steeg, A Galstyan The 18th International Conference on Artificial Intelligence and Statistics …, 2015 | 144 | 2015 |
| Multiwoz 2.1: Multi-domain dialogue state corrections and state tracking baselines M Eric, R Goel, S Paul, A Sethi, S Agarwal, S Gao, D Hakkani-Tür | 85 | 2019 |
| Invariant representations without adversarial training D Moyer, S Gao, R Brekelmans, GV Steeg, A Galstyan arXiv preprint arXiv:1805.09458, 2018 | 84 | 2018 |
| Hashtags and information virality in networked social movement: Examining hashtag co-occurrence patterns R Wang, W Liu, S Gao Online Information Review, 2016 | 79 | 2016 |
| Dialog state tracking: A neural reading comprehension approach S Gao, A Sethi, S Agarwal, T Chung, D Hakkani-Tur arXiv preprint arXiv:1908.01946, 2019 | 71 | 2019 |
| Explicit determination of mean first-passage time for random walks on deterministic uniform recursive trees Z Zhang, Y Qi, S Zhou, S Gao, J Guan Physical Review E 81 (1), 016114, 2010 | 58 | 2010 |
| Auto-encoding total correlation explanation S Gao, R Brekelmans, G Ver Steeg, A Galstyan The 22nd International Conference on Artificial Intelligence and Statistics …, 2019 | 54 | 2019 |
| Mapping Koch curves into scale-free small-world networks Z Zhang, S Gao, L Chen, S Zhou, H Zhang, J Guan Journal of Physics A: Mathematical and Theoretical 43 (39), 395101, 2010 | 49 | 2010 |
| MultiWOZ 2.1: A consolidated multi-domain dialogue dataset with state corrections and state tracking baselines M Eric, R Goel, S Paul, A Kumar, A Sethi, P Ku, AK Goyal, S Agarwal, ... arXiv preprint arXiv:1907.01669, 2019 | 46 | 2019 |
| Trapping in scale-free networks with hierarchical organization of modularity Z Zhang, Y Lin, S Gao, S Zhou, J Guan, M Li Physical Review E 80 (5), 051120, 2009 | 46 | 2009 |
| Variational information maximization for feature selection S Gao, GV Steeg, A Galstyan arXiv preprint arXiv:1606.02827, 2016 | 37 | 2016 |
| Estimating mutual information by local Gaussian approximation S Gao, GV Steeg, A Galstyan arXiv preprint arXiv:1508.00536, 2015 | 33 | 2015 |
| Anomalous behavior of trapping on a fractal scale-free network Z Zhang, W Xie, S Zhou, S Gao, J Guan EPL (Europhysics Letters) 88 (1), 10001, 2009 | 32 | 2009 |
| Role of fractal dimension in random walks on scale-free networks Z Zhang, Y Yang, S Gao The European Physical Journal B 84 (2), 331-338, 2011 | 29 | 2011 |
| Impact of degree heterogeneity on the behavior of trapping in Koch networks Z Zhang, S Gao, W Xie Chaos: An Interdisciplinary Journal of Nonlinear Science 20 (4), 043112, 2010 | 23 | 2010 |
| Controlled text generation for data augmentation in intelligent artificial agents N Malandrakis, M Shen, A Goyal, S Gao, A Sethi, A Metallinou arXiv preprint arXiv:1910.03487, 2019 | 20 | 2019 |
| Scaling of mean first-passage time as efficiency measure of nodes sending information on scale-free Koch networks Z Zhang, S Gao The European Physical Journal B 80 (2), 209-216, 2011 | 20 | 2011 |
| Mmm: Multi-stage multi-task learning for multi-choice reading comprehension D Jin, S Gao, JY Kao, T Chung, D Hakkani-tur Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 8010-8017, 2020 | 19 | 2020 |
| Average distance in a hierarchical scale-free network: an exact solution Z Zhang, Y Lin, S Gao, S Zhou, J Guan Journal of Statistical Mechanics: Theory and Experiment 2009 (10), P10022, 2009 | 18 | 2009 |
Aram GalstyanUniversity of Southern California, Information Sciences InstituteVerified email at isi.edu
