| rMATS: robust and flexible detection of differential alternative splicing from replicate RNA-Seq data S Shen, JW Park, Z Lu, L Lin, MD Henry, YN Wu, Q Zhou, Y Xing Proceedings of the National Academy of Sciences 111 (51), E5593-E5601, 2014 | 2134 | 2014 |
| A high-resolution map of active promoters in the human genome TH Kim, LO Barrera, M Zheng, C Qu, MA Singer, TA Richmond, Y Wu, ... Nature 436 (7052), 876-880, 2005 | 1206 | 2005 |
| Dynamic textures G Doretto, A Chiuso, YN Wu, S Soatto International journal of computer vision 51, 91-109, 2003 | 1176 | 2003 |
| Filters, random fields and maximum entropy (FRAME): Towards a unified theory for texture modeling SC Zhu, Y Wu, D Mumford International Journal of Computer Vision 27, 107-126, 1998 | 1037 | 1998 |
| Interpretable convolutional neural networks Q Zhang, YN Wu, SC Zhu Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 958 | 2018 |
| Minimax entropy principle and its application to texture modeling SC Zhu, YN Wu, D Mumford Neural computation 9 (8), 1627-1660, 1997 | 585 | 1997 |
| Parameter expansion to accelerate EM: the PX-EM algorithm C Liu, DB Rubin, YN Wu Biometrika 85 (4), 755-770, 1998 | 549 | 1998 |
| Multi-agent tensor fusion for contextual trajectory prediction T Zhao, Y Xu, M Monfort, W Choi, C Baker, Y Zhao, Y Wang, YN Wu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 493 | 2019 |
| Parameter expansion for data augmentation JS Liu, YN Wu Journal of the American Statistical Association 94 (448), 1264-1274, 1999 | 479 | 1999 |
| Dynamic texture recognition P Saisan, G Doretto, YN Wu, S Soatto Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision …, 2001 | 441 | 2001 |
| Deep learning with tensorflow: A review B Pang, E Nijkamp, YN Wu Journal of Educational and Behavioral Statistics 45 (2), 227-248, 2020 | 435 | 2020 |
| Efficient Algorithms for Robust Estimation in Linear Mixed-Effects Models Using the Multivariate t Distribution JC Pinheiro, C Liu, YN Wu Journal of Computational and Graphical Statistics 10 (2), 249-276, 2001 | 413 | 2001 |
| Interpreting cnns via decision trees Q Zhang, Y Yang, H Ma, YN Wu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 403 | 2019 |
| Dynamic textures S Soatto, G Doretto, YN Wu Proceedings Eighth IEEE International Conference on Computer Vision. ICCV …, 2001 | 400 | 2001 |
| A theory of generative convnet J Xie, Y Lu, SC Zhu, Y Wu International conference on machine learning, 2635-2644, 2016 | 342 | 2016 |
| Chameleon: Plug-and-play compositional reasoning with large language models P Lu, B Peng, H Cheng, M Galley, KW Chang, YN Wu, SC Zhu, J Gao Advances in Neural Information Processing Systems 36, 2024 | 303 | 2024 |
| Interpreting CNN knowledge via an explanatory graph Q Zhang, R Cao, F Shi, YN Wu, SC Zhu Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018 | 274 | 2018 |
| Learning non-convergent non-persistent short-run mcmc toward energy-based model E Nijkamp, M Hill, SC Zhu, YN Wu Advances in Neural Information Processing Systems 32, 2019 | 249 | 2019 |
| Learning active basis model for object detection and recognition YN Wu, Z Si, H Gong, SC Zhu International journal of computer vision 90, 198-235, 2010 | 213 | 2010 |
| Exploring texture ensembles by efficient Markov chain Monte Carlo-Toward a" trichromacy" theory of texture SC Zhu, XW Liu, YN Wu IEEE Transactions on Pattern Analysis and Machine Intelligence 22 (6), 554-569, 2000 | 179 | 2000 |
song-chun zhuProfessor of Statistics and Computer Science, UCLAVerified email at stat.ucla.edu
