| A comparative study of collaborative filtering algorithms J Lee, M Sun, G Lebanon arXiv preprint arXiv:1205.3193, 2012 | 225 | 2012 |
| Dilated deep residual network for image denoising T Wang, M Sun, K Hu 2017 IEEE 29th International Conference on Tools with Artificial …, 2017 | 135 | 2017 |
| A Deep Multi-Modal CNN for Multi-Instance Multi-Label Image Classification L Song, J Liu, B Qian, M Sun, K Yang, M Sun, S Abbas IEEE Transactions on Image Processing 27 (12), 6025-6038, 2018 | 122 | 2018 |
| Intelligent wireless communications enabled by cognitive radio and machine learning X Zhou, M Sun, GY Li, BHF Juang China Communications 15 (12), 16-48, 2018 | 119 | 2018 |
| Learning multiple-question decision trees for cold-start recommendation M Sun, F Li, J Lee, K Zhou, G Lebanon, H Zha Proceedings of the sixth ACM international conference on Web search and data …, 2013 | 118 | 2013 |
| Restoring 2d content from distorted documents MS Brown, M Sun, R Yang, L Yun, WB Seales Pattern Analysis and Machine Intelligence, IEEE Transactions on 29 (11 …, 2007 | 72 | 2007 |
| A hazard based approach to user return time prediction K Kapoor, M Sun, J Srivastava, T Ye Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014 | 70 | 2014 |
| Prea: Personalized recommendation algorithms toolkit J Lee, M Sun, G Lebanon The Journal of Machine Learning Research 13 (1), 2699-2703, 2012 | 69 | 2012 |
| Estimating Probabilities in Recommendation Systems M Sun, G Lebanon, P Kidwell The 14th International Conference on Artificial Intelligence and Statistics …, 2011 | 54 | 2011 |
| Estimating probabilities in recommendation systems M Sun, G Lebanon, P Kidwell Journal of the Royal Statistical Society: Series C (Applied Statistics), 2010 | 54 | 2010 |
| Geometric and photometric restoration of distorted documents M Sun, R Yang, L Yun, G Landon, B Seales, MS Brown Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 2 …, 2005 | 49 | 2005 |
| Geometric Hawkes Processes with Graph Convolutional Recurrent Neural Networks J Shang, M Sun AAAI Conference on Artificial Intelligence (AAAI), 2019 | 43 | 2019 |
| Application of a Machine Learning Method to Evaluate Road Roughness from Connected Vehicles Z Zhang, C Sun, R Bridgelall, M Sun Journal of Transportation Engineering, Part B: Pavements 144 (4), 04018043, 2018 | 39 | 2018 |
| Robust and Accurate Visual Echo Cancelation in a Full-duplex Projector-camera System M Liao, M Sun, R Yang, Z Zhang 2006 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW …, 2006 | 33 | 2006 |
| Road profile reconstruction using connected vehicle responses and wavelet analysis Z Zhang, C Sun, R Bridgelall, M Sun Journal of Terramechanics 80, 21-30, 2018 | 32 | 2018 |
| Fairness-aware energy-efficient resource allocation in D2D communication networks S Guo, X Zhou, S Xiao, M Sun IEEE Systems Journal 13 (2), 1273-1284, 2018 | 32 | 2018 |
| A Multi-Modality Deep Network for Cold-Start Recommendation M Sun, F Li, J Zhang Big Data and Cognitive Computing 2 (1), 7, 2018 | 30 | 2018 |
| Hooktracer: Automatic detection and analysis of keystroke loggers using memory forensics A Case, RD Maggio, M Firoz-Ul-Amin, MM Jalalzai, A Ali-Gombe, M Sun, ... Computers & Security 96, 101872, 2020 | 27 | 2020 |
| Visualizing differences in web search algorithms using the expected weighted hoeffding distance M Sun, G Lebanon, K Collins-Thompson Proceedings of the 19th international conference on World wide web, 931-940, 2010 | 24 | 2010 |
| Lighting array control Z Liu, M Sun, J Qiu, Z Zhang, MJ Sinclair US Patent 7,869,705, 2011 | 23 | 2011 |
Guy LebanonDirector at GoogleE-mail megerősítve itt: google.com
