Haiyang Huang
I’m a final-year Ph.D. student in the Department of Computer Science at Duke University, under supervision of Prof. Cynthia Rudin and Prof. Benjamin C. Lee. I’m interested in improving transparency and efficiency of current machine learning models. Prior to joining Duke, I received my Bachelor’s degree in Mathematics and Computer Science from the University of Michigan, where I worked with Prof. Jenna Wiens.
You can reach me at hyhuang at cs dot duke dot edu.
Last Updated: November 2024.
news
Nov 10, 2024 | Two of my papers are accepted at NeurIPS 2024. See you in Vancouver! |
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May 06, 2022 | I am thrilled to join Facebook AI Research (FAIR) as a research intern starting at the middle of May! |
latest posts
selected publications
- Toward Efficient Inference for Mixture of ExpertsIn The Thirty-eighth Annual Conference on Neural Information Processing Systems , 2024
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- Towards MoE Deployment: Mitigating Inefficiencies in Mixture-of-Expert (MoE) InferencearXiv preprint arXiv:2303.06182, 2023
- SegDiscover: Visual Concept Discovery via Unsupervised Semantic SegmentationarXiv preprint arXiv:2204.10926, 2022
- Understanding How Dimension Reduction Tools Work: An Empirical Approach to Deciphering t-SNE, UMAP, TriMap, and PaCMAP for Data VisualizationJournal of Machine Learning Research, 2021
- Interpretable machine learning: Fundamental principles and 10 grand challengesStatistics Surveys, 2022