Hao Li

Orcid: 0000-0003-2989-0679

Affiliations:
  • Hunan University, School of Information Science and Engineering, National Supercomputing Center in Changsha, China


According to our database1, Hao Li authored at least 14 papers between 2017 and 2024.

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

Timeline

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Bibliography

2024
Phrase Grounding-based Style Transfer for Single-Domain Generalized Object Detection.
CoRR, 2024

2022
Multiple Strategies Differential Privacy on Sparse Tensor Factorization for Network Traffic Analysis in 5G.
IEEE Trans. Ind. Informatics, 2022

An Online and Scalable Model for Generalized Sparse Nonnegative Matrix Factorization in Industrial Applications on Multi-GPU.
IEEE Trans. Ind. Informatics, 2022

2021
SGD$\_$_Tucker: A Novel Stochastic Optimization Strategy for Parallel Sparse Tucker Decomposition.
IEEE Trans. Parallel Distributed Syst., 2021

Locality Sensitive Hash Aggregated Nonlinear Neighborhood Matrix Factorization for Online Sparse Big Data Analysis.
Trans. Data Sci., 2021

Locality Sensitive Hash Aggregated Nonlinear Neighbourhood Matrix Factorization for Online Sparse Big Data Analysis.
CoRR, 2021

2020
An online and generalized non-negativity constrained model for large-scale sparse tensor estimation on multi-GPU.
Neurocomputing, 2020

SGD_Tucker: A Novel Stochastic Optimization Strategy for Parallel Sparse Tucker Decomposition.
CoRR, 2020

2019
An efficient manifold regularized sparse non-negative matrix factorization model for large-scale recommender systems on GPUs.
Inf. Sci., 2019

HCFS: A Density Peak Based Clustering Algorithm Employing A Hierarchical Strategy.
IEEE Access, 2019

2018
MSGD: A Novel Matrix Factorization Approach for Large-Scale Collaborative Filtering Recommender Systems on GPUs.
IEEE Trans. Parallel Distributed Syst., 2018

CUSNTF: A Scalable Sparse Non-negative Tensor Factorization Model for Large-scale Industrial Applications on Multi-GPU.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017
CuSNMF: A Sparse Non-Negative Matrix Factorization Approach for Large-Scale Collaborative Filtering Recommender Systems on Multi-GPU.
Proceedings of the 2017 IEEE International Symposium on Parallel and Distributed Processing with Applications and 2017 IEEE International Conference on Ubiquitous Computing and Communications (ISPA/IUCC), 2017

An Efficient Parallelization Approach for Large-Scale Sparse Non-Negative Matrix Factorization Using Kullback-Leibler Divergence on Multi-GPU.
Proceedings of the 2017 IEEE International Symposium on Parallel and Distributed Processing with Applications and 2017 IEEE International Conference on Ubiquitous Computing and Communications (ISPA/IUCC), 2017


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