| Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ... arXiv preprint arXiv:1811.02629, 2018 | 2774 | 2018 |
| Review of causal discovery methods based on graphical models C Glymour, K Zhang, P Spirtes Frontiers in genetics 10, 524, 2019 | 1462 | 2019 |
| Inferring causation from time series in Earth system sciences J Runge, S Bathiany, E Bollt, G Camps-Valls, D Coumou, E Deyle, ... Nature communications 10 (1), 2553, 2019 | 1100 | 2019 |
| A survey on llm-as-a-judge J Gu, X Jiang, Z Shi, H Tan, X Zhai, C Xu, W Li, Y Shen, S Ma, H Liu, ... The Innovation, 2024 | 1001 | 2024 |
| Deep domain generalization via conditional invariant adversarial networks Y Li, X Tian, M Gong, Y Liu, T Liu, K Zhang, D Tao Proceedings of the European conference on computer vision (ECCV), 624-639, 2018 | 967 | 2018 |
| Domain adaptation under target and conditional shift K Zhang, B Schölkopf, K Muandet, Z Wang International conference on machine learning, 819-827, 2013 | 891 | 2013 |
| Kernel-based conditional independence test and application in causal discovery K Zhang, J Peters, D Janzing, B Schölkopf arXiv preprint arXiv:1202.3775, 2012 | 886 | 2012 |
| On learning invariant representations for domain adaptation H Zhao, RT Des Combes, K Zhang, G Gordon International conference on machine learning, 7523-7532, 2019 | 826 | 2019 |
| A dopant-free hole-transporting material for efficient and stable perovskite solar cells J Liu, Y Wu, C Qin, X Yang, T Yasuda, A Islam, K Zhang, W Peng, W Chen, ... Energy & Environmental Science 7 (9), 2963-2967, 2014 | 792 | 2014 |
| On causal and anticausal learning B Schölkopf, D Janzing, J Peters, E Sgouritsa, K Zhang, J Mooij arXiv preprint arXiv:1206.6471, 2012 | 791 | 2012 |
| On the identifiability of the post-nonlinear causal model K Zhang, A Hyvarinen arXiv preprint arXiv:1205.2599, 2012 | 750 | 2012 |
| Multi-label learning by exploiting label dependency ML Zhang, K Zhang Proceedings of the 16th ACM SIGKDD international conference on Knowledge …, 2010 | 596 | 2010 |
| Estimation of a structural vector autoregression model using non-Gaussianity. A Hyvärinen, K Zhang, S Shimizu, PO Hoyer Journal of Machine Learning Research 11 (5), 2010 | 580 | 2010 |
| Causal discovery and inference: concepts and recent methodological advances P Spirtes, K Zhang Applied informatics 3 (1), 3, 2016 | 530 | 2016 |
| Domain adaptation with conditional transferable components M Gong, K Zhang, T Liu, D Tao, C Glymour, B Schölkopf International conference on machine learning, 2839-2848, 2016 | 457 | 2016 |
| Information-geometric approach to inferring causal directions D Janzing, J Mooij, K Zhang, J Lemeire, J Zscheischler, P Daniušis, ... Artificial Intelligence 182, 1-31, 2012 | 399 | 2012 |
| Smartbrush: Text and shape guided object inpainting with diffusion model S Xie, Z Zhang, Z Lin, T Hinz, K Zhang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 391 | 2023 |
| Causal discovery from heterogeneous/nonstationary data B Huang, K Zhang, J Zhang, J Ramsey, R Sanchez-Romero, C Glymour, ... Journal of Machine Learning Research 21 (89), 1-53, 2020 | 342 | 2020 |
| Geometry-consistent generative adversarial networks for one-sided unsupervised domain mapping H Fu, M Gong, C Wang, K Batmanghelich, K Zhang, D Tao Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 325 | 2019 |
| Highly compact TiO2 layer for efficient hole-blocking in perovskite solar cells Y Wu, X Yang, H Chen, K Zhang, C Qin, J Liu, W Peng, A Islam, E Bi, F Ye, ... Applied physics express 7 (5), 052301, 2014 | 306 | 2014 |
