Improving Government-Data Learning via Distributed Clustering Analysis. - Yurong Zhong (CCBD, 2016)

An Efficient Association Mining Method via Matrix Compression. - Yurong Zhong; Dan Liu (ISCID (1), 2016)

A Momentum-incorporated Fast Parallelized Stochastic Gradient Descent for Latent Factor Model in Shared Memory Systems. - Hang Gou; Jinli Li; Wen Qin; Chunlin He; Yurong Zhong; Rui Che (ICNSC, 2020)

Alternating-direction-method of Multipliers-Based Symmetric Nonnegative Latent Factor Analysis for Large-scale Undirected Weighted Networks. - Yurong Zhong; Xin Luo 001 (CASE, 2021)

Generalized Symmetric Nonnegative Latent Factor Analysis for Large-scale Undirected Weighted Networks. - Yurong Zhong; Xin Luo 001 (IJCNN, 2021)

Relaxed Symmetric Non-negative Latent Factor Analysis for Large-scale Undirected Weighted Networks. - Yurong Zhong; Xin Luo 001 (SMC, 2021)

Distributed-Particle-Swarm-Optimization-Incorporated Second-order Latent Factor Model. - Jialiang Wang; Yurong Zhong; Weiling Li (ICNSC, 2022)

An Unconstrained Symmetric Nonnegative Latent Factor Analysis for Large-scale Undirected Weighted Networks. - Zhe Xie; Weiling Li; Yurong Zhong (ICNSC, 2022)

A Dynamic Linear Bias Incorporation Scheme for Nonnegative Latent Factor Analysis. - Yurong Zhong; Zhe Xie; Weiling Li; Xin Luo 001 (PRICAI (1), 2022)

An Adaptive Alternating-direction-method-based Nonnegative Latent Factor Model. - Yurong Zhong; Xin Luo 001 (CoRR, 2022)

A Practical Second-order Latent Factor Model via Distributed Particle Swarm Optimization. - Jialiang Wang; Yurong Zhong; Weiling Li (CoRR, 2022)

Momentum-Incorporated Symmetric Non-Negative Latent Factor Models. - Yurong Zhong; Long Jin 001; Mingsheng Shang 001; Xin Luo 001 (IEEE Trans. Big Data, 2022)

An Adaptive Alternating-direction-method-based Nonnegative Latent Factor Model. - Yurong Zhong; Weiling Li; Zhigang Liu 006; Xin Luo 001 (ICDM (Workshops), 2023)

Proximal Symmetric Non-negative Latent Factor Analysis: A Novel Approach to Highly-Accurate Representation of Undirected Weighted Networks. - Yurong Zhong; Zhe Xie; Weiling Li; Xin Luo 001 (ICIC (4), 2023)

Multi-Constrained Symmetric Nonnegative Latent Factor Analysis for Accurately Representing Undirected Weighted Networks. - Yurong Zhong; Zhe Xie; Weiling Li; Xin Luo 001 (SMC, 2023)

Multi-constrained Symmetric Nonnegative Latent Factor Analysis for Accurately Representing Large-scale Undirected Weighted Networks. - Yurong Zhong; Zhe Xie; Weiling Li; Xin Luo 001 (CoRR, 2023)

An Alternating-Direction-Method of Multipliers-Incorporated Approach to Symmetric Non-Negative Latent Factor Analysis. - Xin Luo 001; Yurong Zhong; Zidong Wang 001; Maozhen Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Enhancing NMF-Based Community Detection via A Higher-Order Proximity-Incorporated Graph Attention Autoencoder. - Hao Yan; Zhigang Liu; Yurong Zhong; Weiling Li (ACAI, 2024)

A Relaxed Symmetric Non-negative Matrix Factorization Approach for Community Discovery. - Zhigang Liu; Hao Yan; Yurong Zhong; Weiling Li (PRICAI (1), 2024)

Boosting A Non-Negative Matrix Factorization-Based Community Detector via Graph Convolution Regularization. - Zhigang Liu; Weiling Li; Yurong Zhong (SMC, 2024)

Mini-Hes: A Parallelizable Second-order Latent Factor Analysis Model. - Jialiang Wang; Weiling Li; Yurong Zhong; Xin Luo 001 (CoRR, 2024)

Alternating nonnegative least squares-incorporated regularized symmetric latent factor analysis for undirected weighted networks. - Yurong Zhong; Kechen Liu; Chen Jiqiu; Xie Zhe; Weiling Li (Neurocomputing, 2024)

Alternating-Direction-Method of Multipliers-Based Adaptive Nonnegative Latent Factor Analysis. - Yurong Zhong; Kechen Liu; Shangce Gao; Xin Luo 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2024)