publications

2024

1. Toward Efficient Inference for Mixture of Experts

   Haiyang Huang, Newsha Ardalani , Anna Sun , and 5 more authors

   In The Thirty-eighth Annual Conference on Neural Information Processing Systems , 2024
2. Navigating the Effect of Parametrization for Dimensionality Reduction

   Haiyang Huang, Yingfan Wang , and Cynthia Rudin

   In The Thirty-eighth Annual Conference on Neural Information Processing Systems , 2024

2023

1. Towards MoE Deployment: Mitigating Inefficiencies in Mixture-of-Expert (MoE) Inference

   Haiyang Huang, Newsha Ardalani , Anna Sun , and 6 more authors

   arXiv preprint arXiv:2303.06182, 2023

2022

1. SegDiscover: Visual Concept Discovery via Unsupervised Semantic Segmentation

   Haiyang Huang, Zhi Chen , and Cynthia Rudin

   arXiv preprint arXiv:2204.10926, 2022
2. Towards a comprehensive evaluation of dimension reduction methods for transcriptomic data visualization

   Haiyang Huang, Yingfan Wang , Cynthia Rudin , and 1 more author

   Communications biology, 2022
3. Interpretable machine learning: Fundamental principles and 10 grand challenges

   Cynthia Rudin , Chaofan Chen , Zhi Chen , and 3 more authors

   Statistics Surveys, 2022

2021

1. Understanding How Dimension Reduction Tools Work: An Empirical Approach to Deciphering t-SNE, UMAP, TriMap, and PaCMAP for Data Visualization

   Yingfan Wang , Haiyang Huang, Cynthia Rudin , and 1 more author

   Journal of Machine Learning Research, 2021