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 | 143 | 2018 |
Distributionally robust chance constraints for non-linear uncertainties W Yang, H Xu Mathematical Programming 155, 231-265, 2016 | 60 | 2016 |
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 | 51 | 2016 |
Streaming sparse principal component analysis W Yang, H Xu International Conference on Machine Learning, 494-503, 2015 | 38 | 2015 |
OmniXAI: A Library for Explainable AI W Yang, H Le, T Laud, S Savarese, SCH Hoi https://arxiv.org/abs/2206.01612, 2022 | 33* | 2022 |
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 | 31 | 2021 |
Ai for it operations (aiops) on cloud platforms: Reviews, opportunities and challenges Q Cheng, D Sahoo, A Saha, W Yang, C Liu, G Woo, M Singh, S Saverese, ... arXiv preprint arXiv:2304.04661, 2023 | 26 | 2023 |
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 |
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 | 21 | 2014 |
A unified robust regression model for lasso-like algorithms W Yang, H Xu International Conference on Machine Learning, 585-593, 2013 | 21 | 2013 |
A divide and conquer framework for distributed graph clustering W Yang, H Xu International Conference on Machine Learning, 504-513, 2015 | 16 | 2015 |
Mace: An efficient model-agnostic framework for counterfactual explanation W Yang, J Li, C Xiong, SCH Hoi arXiv preprint arXiv:2205.15540, 2022 | 14 | 2022 |
A unified framework for outlier-robust PCA-like algorithms W Yang, H Xu International Conference on Machine Learning, 484-493, 2015 | 9 | 2015 |
Causality-based multivariate time series anomaly detection W Yang, K Zhang, SC Hoi arXiv preprint arXiv:2206.15033, 2022 | 8 | 2022 |
PyRCA: A Library for Metric-based Root Cause Analysis C Liu, W Yang, H Mittal, M Singh, D Sahoo, SCH Hoi arXiv preprint arXiv:2306.11417, 2023 | 7 | 2023 |
A causal approach to detecting multivariate time-series anomalies and root causes W Yang, K Zhang, SCH Hoi arXiv preprint arXiv:2206.15033, 2022 | 7 | 2022 |
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 | 6 | 2021 |
The coherent loss function for classification W Yang, M Sim, H Xu International Conference on Machine Learning, 37-45, 2014 | 5 | 2014 |
Logai: A library for log analytics and intelligence Q Cheng, A Saha, W Yang, C Liu, D Sahoo, S Hoi arXiv preprint arXiv:2301.13415, 2023 | 4 | 2023 |
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 | 4 | 2021 |