Neil He, Rishabh Anand, Hiren Madhu, Ali Maatouk, Smita Krishnaswamy, Leandros Tassiulas, Menglin Yang, and Rex Ying. "HELM: Hyperbolic Large Language Models via Mixture-of-Curvature Experts." arXiv preprint. 2025.
Neil He, Menglin Yang, and Rex Ying. 2025. Lorentzian Residual Neural Networks. In KDD .
Neil He, Hiren Madhu, Ngoc Bui, Menglin Yang, and Rex Ying. "Hyperbolic Deep Learning for Foundation Models: A Survey." in KDD. 2025.
Oren Mangoubi, Neil He, and Nisheeth K. Vishnoi. "Efficient Diffusion Models for Symmetric Manifolds." in ICML. 2025
Neil He, Menglin Yang, and Rex Ying. "HyperCore: The Core Framework for Building Hyperbolic Foundation Models with Comprehensive Modules." TheWebConf NEGEL Workshop. 2025.
Neil He, Jiahong Liu, Buze Zhang, Ngoc Bui, Ali Maatouk, Menglin Yang, Irwin King, Melanie Weber, and Rex Ying. "Position: Beyond Euclidean -- Foundation Models Should Embrace Non-Euclidean Geometries." arXiv preprint. 2025.
Neil He, Ming-Cheng Cheng, Yu Liu. "PyPOD-GP: Using PyTorch for accelerated chip-level thermal simulation of the GPU " in SoftwareX. Vol.30, p.102147.
Conference proceeding workshop at The Thirty-Ninth Annual Conference on Neural Information Processing Systems, San Diego, CA, USA
Conference proceedings lecture-style tutorial at ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Toronto, Ontario, Canada