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, 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, 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