Neil He

According to our database, Neil He authored at least 9 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2026

Parameter-Efficient Fine-Tuning of LLMs with Mixture of Space Experts.

Buze Zhang, Jinkai Tao, Zilang Zeng, Neil He, Ali Maatouk, Menglin Yang, Rex Ying

CoRR, February, 2026

2025

HELM: Hyperbolic Large Language Models via Mixture-of-Curvature Experts.

Neil He, Rishabh Anand, Hiren Madhu, Ali Maatouk, Smita Krishnaswamy, Leandros Tassiulas, Menglin Yang, Rex Ying

CoRR, May, 2025

HyperCore: The Core Framework for Building Hyperbolic Foundation Models with Comprehensive Modules.

Neil He, Menglin Yang, Rex Ying

CoRR, April, 2025

Position: Beyond Euclidean - Foundation Models Should Embrace Non-Euclidean Geometries.

Neil He, Jiahong Liu, Buze Zhang, Ngoc Bui, Ali Maatouk, Menglin Yang, Irwin King, Melanie Weber, Rex Ying

CoRR, April, 2025

PyPOD-GP: Using PyTorch for accelerated chip-level thermal simulation of the GPU.

Neil He, Ming-Cheng Cheng, Yu Liu

SoftwareX, 2025

Hyperbolic Deep Learning for Foundation Models: A Survey.

Neil He, Hiren Madhu, Ngoc Bui, Menglin Yang, Rex Ying

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

Lorentzian Residual Neural Networks.

Neil He, Menglin Yang, Rex Ying

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

Efficient Diffusion Models for Symmetric Manifolds.

Oren Mangoubi, Neil He, Nisheeth K. Vishnoi

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

PyPOD-GP: Using PyTorch for Accelerated Chip-Level Thermal Simulation of the GPU.

Neil He, Ming-Cheng Cheng, Yu Liu

CoRR, 2024