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Haiyang Huang
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Interpretable machine learning: Fundamental principles and 10 grand challenges
C Rudin, C Chen, Z Chen, H Huang, L Semenova, C Zhong
Statistics Surveys 16, 1-85, 2022
6682022
Understanding how dimension reduction tools work: an empirical approach to deciphering t-SNE, UMAP, TriMAP, and PaCMAP for data visualization
Y Wang, H Huang, C Rudin, Y Shaposhnik
Journal of Machine Learning Research 22 (201), 1-73, 2021
3082021
Towards a comprehensive evaluation of dimension reduction methods for transcriptomic data visualization
H Huang, Y Wang, C Rudin, EP Browne
Communications biology 5 (1), 719, 2022
502022
Segdiscover: Visual concept discovery via unsupervised semantic segmentation
H Huang, Z Chen, C Rudin
arXiv preprint arXiv:2204.10926, 2022
82022
Towards MoE Deployment: Mitigating Inefficiencies in Mixture-of-Expert (MoE) Inference
H Huang, N Ardalani, A Sun, L Ke, HHS Lee, A Sridhar, S Bhosale, CJ Wu, ...
arXiv preprint arXiv:2303.06182, 2023
32023
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Artiklar 1–5