Yurong Zhong

27 papers A* 1B 4Journal 11Unranked 11
YearRankTypeTitle / Venue / Authors
2025 A* conf
A Relaxed Symmetric Non-negative Matrix Factorization Approach for Community Discovery (Extended Abstract).
IJCAI
Zhigang Liu, Hao Yan, Yurong Zhong, Weiling Li
2024 — conf
A Relaxed Symmetric Non-negative Matrix Factorization Approach for Community Discovery.
PRICAI (1)
Zhigang Liu, Hao Yan, Yurong Zhong, Weiling Li
2024 J jnl
Alternating nonnegative least squares-incorporated regularized symmetric latent factor analysis for undirected weighted networks.
Neurocomputing
Yurong Zhong, Kechen Liu, Chen Jiqiu, Xie Zhe, Weiling Li
2024 J jnl
Alternating-Direction-Method of Multipliers-Based Adaptive Nonnegative Latent Factor Analysis.
IEEE Trans. Emerg. Top. Comput. Intell.
Yurong Zhong, Kechen Liu, Shangce Gao, Xin Luo
2024 B conf
Boosting A Non-Negative Matrix Factorization-Based Community Detector via Graph Convolution Regularization.
SMC
Zhigang Liu, Weiling Li, Yurong Zhong
2024 — conf
Enhancing NMF-Based Community Detection via A Higher-Order Proximity-Incorporated Graph Attention Autoencoder.
ACAI
Hao Yan, Zhigang Liu, Yurong Zhong, Weiling Li
2024 J jnl
Mini-Hes: A Parallelizable Second-order Latent Factor Analysis Model.
CoRR
Jialiang Wang, Weiling Li, Yurong Zhong, Xin Luo
2023 J jnl
A Dynamic Linear Bias Incorporation Scheme for Nonnegative Latent Factor Analysis.
CoRR
Yurong Zhong, Zhe Xie, Weiling Li, Xin Luo
2023 — conf
An Adaptive Alternating-direction-method-based Nonnegative Latent Factor Model.
ICDM (Workshops)
Yurong Zhong, Weiling Li, Zhigang Liu, Xin Luo
2023 J jnl
An Alternating-Direction-Method of Multipliers-Incorporated Approach to Symmetric Non-Negative Latent Factor Analysis.
IEEE Trans. Neural Networks Learn. Syst.
Xin Luo, Yurong Zhong, Zidong Wang, Maozhen Li
2023 B conf
Multi-Constrained Symmetric Nonnegative Latent Factor Analysis for Accurately Representing Undirected Weighted Networks.
SMC
Yurong Zhong, Zhe Xie, Weiling Li, Xin Luo
2023 J jnl
Multi-constrained Symmetric Nonnegative Latent Factor Analysis for Accurately Representing Large-scale Undirected Weighted Networks.
CoRR
Yurong Zhong, Zhe Xie, Weiling Li, Xin Luo
2023 — conf
Proximal Symmetric Non-negative Latent Factor Analysis: A Novel Approach to Highly-Accurate Representation of Undirected Weighted Networks.
ICIC (4)
Yurong Zhong, Zhe Xie, Weiling Li, Xin Luo
2023 J jnl
Proximal Symmetric Non-negative Latent Factor Analysis: A Novel Approach to Highly-Accurate Representation of Undirected Weighted Networks.
CoRR
Yurong Zhong, Zhe Xie, Weiling Li, Xin Luo
2022 — conf
A Dynamic Linear Bias Incorporation Scheme for Nonnegative Latent Factor Analysis.
PRICAI (1)
Yurong Zhong, Zhe Xie, Weiling Li, Xin Luo
2022 J jnl
A Practical Second-order Latent Factor Model via Distributed Particle Swarm Optimization.
CoRR
Jialiang Wang, Yurong Zhong, Weiling Li
2022 J jnl
An Adaptive Alternating-direction-method-based Nonnegative Latent Factor Model.
CoRR
Yurong Zhong, Xin Luo
2022 — conf
An Unconstrained Symmetric Nonnegative Latent Factor Analysis for Large-scale Undirected Weighted Networks.
ICNSC
Zhe Xie, Weiling Li, Yurong Zhong
2022 J jnl
An Unconstrained Symmetric Nonnegative Latent Factor Analysis for Large-scale Undirected Weighted Networks.
CoRR
Zhe Xie, Weiling Li, Yurong Zhong
2022 — conf
Distributed-Particle-Swarm-Optimization-Incorporated Second-order Latent Factor Model.
ICNSC
Jialiang Wang, Yurong Zhong, Weiling Li
2022 J jnl
Momentum-Incorporated Symmetric Non-Negative Latent Factor Models.
IEEE Trans. Big Data
Yurong Zhong, Long Jin, Mingsheng Shang, Xin Luo
2021 — conf
Alternating-direction-method of Multipliers-Based Symmetric Nonnegative Latent Factor Analysis for Large-scale Undirected Weighted Networks.
CASE
Yurong Zhong, Xin Luo
2021 B conf
Generalized Symmetric Nonnegative Latent Factor Analysis for Large-scale Undirected Weighted Networks.
IJCNN
Yurong Zhong, Xin Luo
2021 B conf
Relaxed Symmetric Non-negative Latent Factor Analysis for Large-scale Undirected Weighted Networks.
SMC
Yurong Zhong, Xin Luo
2020 — conf
A Momentum-incorporated Fast Parallelized Stochastic Gradient Descent for Latent Factor Model in Shared Memory Systems.
ICNSC
Hang Gou, Jinli Li, Wen Qin, Chunlin He, Yurong Zhong, Rui Che
2016 — conf
An Efficient Association Mining Method via Matrix Compression.
ISCID (1)
Yurong Zhong, Dan Liu
2016 — conf
Improving Government-Data Learning via Distributed Clustering Analysis.
CCBD
Yurong Zhong