| A Non-Parametric Generative Model for Human Trajectories K Ouyang, S Reza, D Rosenblum, W Yang The 27th International Joint Conference on Artificial Intelligence (IJCAI 2018), 2018 | 58 | 2018 |
| Online collaborative learning for open-vocabulary visual classifiers H Zhang, X Shang, W Yang, H Xu, H Luan, TS Chua Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 48 | 2016 |
| Distributionally robust chance constraints for non-linear uncertainties W Yang, H Xu Mathematical Programming 155 (1), 231-265, 2016 | 44 | 2016 |
| Consistent depth maps recovery from a trinocular video sequence W Yang, G Zhang, H Bao, J Kim, HY Lee 2012 IEEE Conference on Computer Vision and Pattern Recognition, 1466-1473, 2012 | 26 | 2012 |
| Streaming sparse principal component analysis W Yang, H Xu International Conference on Machine Learning, 494-503, 2015 | 23 | 2015 |
| Method and apparatus for recovering depth information of image J Kim, G Zhang, DS Park, HY Lee, H Bao, W Yang US Patent 8,855,408, 2014 | 18 | 2014 |
| A unified robust regression model for lasso-like algorithms W Yang, H Xu International Conference on Machine Learning, 585-593, 2013 | 18 | 2013 |
| A divide and conquer framework for distributed graph clustering W Yang, H Xu International Conference on Machine Learning, 504-513, 2015 | 10 | 2015 |
| Merlion: A machine learning library for time series A Bhatnagar, P Kassianik, C Liu, T Lan, W Yang, R Cassius, D Sahoo, ... arXiv preprint arXiv:2109.09265, 2021 | 9 | 2021 |
| A unified framework for outlier-robust PCA-like algorithms W Yang, H Xu International Conference on Machine Learning, 484-493, 2015 | 8 | 2015 |
| The coherent loss function for classification W Yang, M Sim, H Xu International Conference on Machine Learning, 37-45, 2014 | 3 | 2014 |
| Unsupervised learning of disentangled location embeddings K Ouyang, Y Liang, Y Liu, DS Rosenblum, W Yang 2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020 | 1 | 2020 |
| Goal scoring, coherent loss and applications to machine learning W Yang, M Sim, H Xu Mathematical Programming, 1-38, 2019 | 1 | 2019 |
| OmniXAI: A Library for Explainable AI W Yang, H Le, S Savarese, SCH Hoi arXiv preprint arXiv:2206.01612, 2022 | | 2022 |
| MACE: An Efficient Model-Agnostic Framework for Counterfactual Explanation W Yang, J Li, C Xiong, SCH Hoi arXiv preprint arXiv:2205.15540, 2022 | | 2022 |
| Systems and methods for counterfactual explanation in machine learning models W Yang, J Li, CH Hoi, C Xiong US Patent App. 17/162,967, 2022 | | 2022 |
| Systems and methods for counterfactual explanation in machine learning models W Yang, J Li, CH Hoi, C Xiong US Patent App. 17/162,931, 2022 | | 2022 |
| Diversity and Explainability Parameters for Recommendation Accuracy in Machine Learning Recommendation Systems W Yang, J Li, C Li, L Barnett, M Anderle, S Arajarvi, H Utharavalli, C Xiong, ... US Patent App. 17/093,885, 2021 | | 2021 |
| On the Diversity and Explainability of Recommender Systems: A Practical Framework for Enterprise App Recommendation W Yang, J Li, C Li, L Barnett, M Anderle, S Arajarvi, H Utharavalli, C Xiong, ... Proceedings of the 30th ACM International Conference on Information and …, 2021 | | 2021 |
| Online Linear Programming with Unobserved Constraints W Yang, S Mannor, H Xu The 13th European Workshop on Reinforcement Learning (EWRL 2016), 2016 | | 2016 |
Huan XuAlibaba IncVerified email at alibaba-inc.com
