Haiyang Huang

Affiliations:
  • Duke University, Durham, NC, USA


According to our database1, Haiyang Huang authored at least 9 papers between 2021 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
The Rashomon Effect for Visualizing High-Dimensional Data.
CoRR, April, 2026

2025
It's LIT! Reliability-Optimized LLMs with Inspectable Tools.
CoRR, November, 2025

Dimension Reduction with Locally Adjusted Graphs.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
Navigating the Effect of Parametrization for Dimensionality Reduction.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Toward Efficient Inference for Mixture of Experts.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2023
Towards MoE Deployment: Mitigating Inefficiencies in Mixture-of-Expert (MoE) Inference.
CoRR, 2023

2022
SegDiscover: Visual Concept Discovery via Unsupervised Semantic Segmentation.
CoRR, 2022

2021
Understanding How Dimension Reduction Tools Work: An Empirical Approach to Deciphering t-SNE, UMAP, TriMap, and PaCMAP for Data Visualization.
J. Mach. Learn. Res., 2021

Interpretable Machine Learning: Fundamental Principles and 10 Grand Challenges.
CoRR, 2021


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