Guanlin He

According to our database, Guanlin He authored at least 10 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Accurate and Scalable Matrix Mechanisms via Divide and Conquer.

Guanlin He, Yingtai Xiao, Jiamu Bai, Xin Gu, Zeyu Ding, Wenpeng Yin, Daniel Kifer

CoRR, April, 2026

Composition for Pufferfish Privacy.

Jiamu Bai, Guanlin He, Xin Gu, Daniel Kifer, Kiwan Maeng

CoRR, February, 2026

2025

Correlating Cross-Iteration Noise for DP-SGD using Model Curvature.

Xin Gu, Yingtai Xiao, Guanlin He, Jiamu Bai, Daniel Kifer, Kiwan Maeng

CoRR, October, 2025

Generating Sparse Matrices for Large-Scale Spectral Clustering on a Single GPU.

Guanlin He, Stéphane Vialle, Marc Baboulin

Int. J. Parallel Program., August, 2025

The 3-Path Connectivity of Dragonfly Networks.

Guanlin He, Zeng-Xian Tian

Axioms, 2025

2023

An Optimal and Scalable Matrix Mechanism for Noisy Marginals under Convex Loss Functions.

Yingtai Xiao, Guanlin He, Danfeng Zhang, Daniel Kifer

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Parallel algorithms for clustering large datasets on CPU-GPU heterogeneous architectures. (Algorithmes parallèles de clustering de grands ensembles de données pour architectures hétérogènes CPU-GPU).

Guanlin He

PhD thesis, 2022

Parallel and accurate k-means algorithm on CPU-GPU architectures for spectral clustering.

Guanlin He, Stéphane Vialle, Marc Baboulin

Concurr. Comput. Pract. Exp., 2022

2021

Scalable Algorithms Using Sparse Storage for Parallel Spectral Clustering on GPU.

Guanlin He, Stéphane Vialle, Nicolas Sylvestre, Marc Baboulin

Proceedings of the Network and Parallel Computing, 2021

2020

Parallelization of the k-means Algorithm in a Spectral Clustering Chain on CPU-GPU Platforms.

Guanlin He, Stéphane Vialle, Marc Baboulin

Proceedings of the Euro-Par 2020: Parallel Processing Workshops, 2020