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Yang Wenzhuo
Yang Wenzhuo
Salesforce Research
Verified email at nus.edu.sg - Homepage
Title
Cited by
Cited by
Year
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
742018
Distributionally robust chance constraints for non-linear uncertainties
W Yang, H Xu
Mathematical Programming 155, 231-265, 2016
492016
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
482016
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
262012
Streaming sparse principal component analysis
W Yang, H Xu
International Conference on Machine Learning, 494-503, 2015
242015
A unified robust regression model for lasso-like algorithms
W Yang, H Xu
International Conference on Machine Learning, 585-593, 2013
212013
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
182014
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
132021
A divide and conquer framework for distributed graph clustering
W Yang, H Xu
International Conference on Machine Learning, 504-513, 2015
112015
A unified framework for outlier-robust PCA-like algorithms
W Yang, H Xu
International Conference on Machine Learning, 484-493, 2015
82015
The coherent loss function for classification
W Yang, M Sim, H Xu
International Conference on Machine Learning, 37-45, 2014
52014
Causality-Based Multivariate Time Series Anomaly Detection
W Yang, K Zhang, SCH Hoi
arXiv preprint arXiv:2206.15033, 2022
12022
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
12021
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
12021
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
12020
Goal scoring, coherent loss and applications to machine learning
W Yang, M Sim, H Xu
Mathematical Programming, 1-38, 2019
12019
Salesforce CausalAI Library: A Fast and Scalable Framework for Causal Analysis of Time Series and Tabular Data
D Arpit, M Fernandez, C Liu, W Yao, W Yang, P Josel, S Heinecke, E Hu, ...
arXiv preprint arXiv:2301.10859, 2023
2023
Systems and methods for causality-based multivariate time series anomaly detection
W Yang, CH Hoi, K Zhang
US Patent App. 17/514,487, 2022
2022
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
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