| Geodesic flow kernel for unsupervised domain adaptation B Gong, Y Shi, F Sha, K Grauman 2012 IEEE conference on computer vision and pattern recognition, 2066-2073, 2012 | 2816 | 2012 |
| Information-theoretical learning of discriminative clusters for unsupervised domain adaptation Y Shi, F Sha arXiv preprint arXiv:1206.6438, 2012 | 272 | 2012 |
| Personalized stress detection from physiological measurements Y Shi, MH Nguyen, P Blitz, B French, S Fisk, F De la Torre, A Smailagic, ... International symposium on quality of life technology 1, 28-29, 2010 | 168 | 2010 |
| Sparse compositional metric learning Y Shi, A Bellet, F Sha Proceedings of the AAAI conference on artificial intelligence 28 (1), 2014 | 100 | 2014 |
| Extending semi-supervised learning methods for inductive transfer learning Y Shi, Z Lan, W Liu, W Bi 2009 Ninth IEEE international conference on data mining, 483-492, 2009 | 47 | 2009 |
| Power electronic circuits design: A particle swarm optimization approach J Zhang, Y Shi, ZH Zhan Asia-Pacific Conference on Simulated Evolution and Learning, 605-614, 2008 | 37 | 2008 |
| mstress: Supporting continuous collection of objective and subjective measures of psychosocial stress on mobile devices A Raij, P Blitz, AA Ali, S Fisk, B French, S Mitra, M Nakajima, MH Nguyen, ... ACM Wireless Health 2010 San Diego, California USA, 2010 | 29 | 2010 |
| An ant colony optimization algorithm for the time-varying workflow scheduling problem in grids W Chen, Y Shi, J Zhang 2009 IEEE Congress on Evolutionary Computation, 875-880, 2009 | 21 | 2009 |
| Cross-domain video concept detection: A joint discriminative and generative active learning approach H Li, Y Shi, Y Liu, AG Hauptmann, Z Xiong Expert Systems with Applications 39 (15), 12220-12228, 2012 | 18 | 2012 |
| Hybrid active learning for cross-domain video concept detection H Li, Y Shi, M Chen, AG Hauptmann, Z Xiong Proceedings of the 18th ACM international conference on Multimedia, 1003-1006, 2010 | 15 | 2010 |
| Metric learning for ordinal data Y Shi, W Li, F Sha Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016 | 12 | 2016 |
| Software adaptation for an unmanned undersea vehicle A Pfeffer, C Wu, G Fry, K Lu, S Marotta, M Reposa, Y Shi, TKS Kumar, ... IEEE Software 36 (2), 91-96, 2019 | 10 | 2019 |
| Transferred feature selection W Bi, Y Shi, Z Lan 2009 IEEE International Conference on Data Mining Workshops, 416-421, 2009 | 10 | 2009 |
| Learning with Previously Unseen Features. Y Shi, CA Knoblock IJCAI, 2722-2729, 2017 | 8 | 2017 |
| Constraint-based learning for sensor failure detection and adaptation Y Shi, TKS Kumar, CA Knoblock 2018 IEEE 30th International Conference on Tools with Artificial …, 2018 | 4 | 2018 |
| Learning discriminative metrics via generative models and kernel learning Y Shi, YK Noh, F Sha, DD Lee arXiv preprint arXiv:1109.3940, 2011 | 3 | 2011 |
| Building survivable software systems by automatically adapting to sensor changes Y Shi, A Li, TKS Kumar, CA Knoblock Applied Sciences 11 (11), 4808, 2021 | 2 | 2021 |
| Automatic Adaptation to Sensor Replacements Y Shi, TKS Kumar, CA Knoblock The Thirty-Second International Flairs Conference, 2019 | | 2019 |
| 2012 IEEE Conference on Computer Vision and Pattern Recognition B Gong, Y Shi, F Sha, K Grauman Ieee, 2012 | | 2012 |
