Haiyang Huang

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Cynthia RudinProfessor of Computer Science, ECE, Statistics, and Biostatistics & Bioinformatics, Duke UniversityEmail yang diverifikasi di cs.duke.edu
Chudi ZhongUniversity of North Carolina at Chapel HillEmail yang diverifikasi di unc.edu
Lesia SemenovaPostdoctoral Researcher, Microsoft ResearchEmail yang diverifikasi di microsoft.com
Zhi ChenDuke UniversityEmail yang diverifikasi di duke.edu
Chaofan ChenAssistant Professor of Computer Science, University of MaineEmail yang diverifikasi di maine.edu
Yaron ShaposhnikUniversity of RochesterEmail yang diverifikasi di simon.rochester.edu
Edward P BrowneUniversity of North Carolina - Chapel HillEmail yang diverifikasi di email.unc.edu
Hsien-Hsin Sean LeeMetaEmail yang diverifikasi di fb.com
Shruti BhosaleFacebook AI ResearchEmail yang diverifikasi di fb.com
Anna SunMeta AI ResearchEmail yang diverifikasi di meta.com
Newsha ArdalaniResearch Scientist, Meta AI Research (FAIR)Email yang diverifikasi di cs.wisc.edu
Liu KeWashington University in St. LouisEmail yang diverifikasi di wustl.edu
Carole-Jean WuMeta AI / FAIREmail yang diverifikasi di meta.com
Benjamin C. LeeProfessor, University of PennsylvaniaEmail yang diverifikasi di seas.upenn.edu
Yiyang SunDuke UnversityEmail yang diverifikasi di duke.edu

Haiyang Huang

Email yang diverifikasi di cs.duke.edu - Beranda


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
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	898	2022
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	418	2021
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	76	2022
Toward Efficient Inference for Mixture of Experts H Huang, N Ardalani, A Sun, L Ke, S Bhosale, HHS Lee, CJ Wu, B Lee The Thirty-eighth Annual Conference on Neural Information Processing Systems, 0	12*
Segdiscover: Visual concept discovery via unsupervised semantic segmentation H Huang, Z Chen, C Rudin arXiv preprint arXiv:2204.10926, 2022	10	2022
Navigating the Effect of Parametrization for Dimensionality Reduction H Huang, Y Wang, C Rudin The Thirty-eighth Annual Conference on Neural Information Processing Systems, 0	1*
Dimension Reduction with Locally Adjusted Graphs Y Wang, Y Sun, H Huang, C Rudin The Thirty-Ninth AAAI Conference on Artificial Intelligence 2025, 0

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