Haiyang Huang

According to our database, Haiyang Huang authored at least 7 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Dimension Reduction with Locally Adjusted Graphs.

Yingfan Wang, Yiyang Sun, Haiyang Huang, Cynthia Rudin

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Navigating the Effect of Parametrization for Dimensionality Reduction.

Haiyang Huang, Yingfan Wang, Cynthia Rudin

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Toward Efficient Inference for Mixture of Experts.

Haiyang Huang, Newsha Ardalani, Anna Y. Sun, Liu Ke, Shruti Bhosale, Hsien-Hsin S. Lee, Carole-Jean Wu, Benjamin Lee

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

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

Haiyang Huang, Newsha Ardalani, Anna Y. Sun, Liu Ke, Hsien-Hsin S. Lee, Anjali Sridhar, Shruti Bhosale, Carole-Jean Wu, Benjamin Lee

CoRR, 2023

2022

SegDiscover: Visual Concept Discovery via Unsupervised Semantic Segmentation.

Haiyang Huang, Zhi Chen, Cynthia Rudin

CoRR, 2022

2021

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, Yaron Shaposhnik

J. Mach. Learn. Res., 2021

Interpretable Machine Learning: Fundamental Principles and 10 Grand Challenges.

Cynthia Rudin, Chaofan Chen, Zhi Chen, Haiyang Huang, Lesia Semenova, Chudi Zhong

CoRR, 2021