Haiyang Huang

SegDiscover: Visual Concept Discovery via Unsupervised Semantic Segmentation

C. Rudin, Zhi Chen, Haiyang Huang, 2022, ArXiv.

Towards a comprehensive evaluation of dimension reduction methods for transcriptomic data visualization

E. Browne, Haiyang Huang, Yingfan Wang, 2022, Communications Biology.

Interpretable Machine Learning: Fundamental Principles and 10 Grand Challenges

C. Rudin, Zhi Chen, Chudi Zhong, 2021, Statistics Surveys.

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

C. Rudin, Haiyang Huang, Yingfan Wang, 2020, J. Mach. Learn. Res..

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

Hsien-Hsin S. Lee, Newsha Ardalani, Carole-Jean Wu, 2023, ArXiv.

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

Hsien-Hsin S. Lee, Newsha Ardalani, Carole-Jean Wu, 2023, ArXiv.