Jinlan Liu

According to our database, Jinlan Liu authored at least 23 papers between 2006 and 2025.

Collaborative distances:

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

2025

DMAdam: Dual averaging enhanced adaptive gradient method for deep neural networks.

Wenhan Jiang, Jinlan Liu, Naimin Zhang, Dongpo Xu

Knowl. Based Syst., 2025

2024

mPage: Probabilistic Gradient Estimator With Momentum for Non-Convex Optimization.

Yuqing Liang, Hui Su, Jinlan Liu, Dongpo Xu

IEEE Trans. Signal Process., 2024

An Iterative Algorithm for Quaternion Eigenvalue Problems in Signal Processing.

Qiankun Diao, Jinlan Liu, Naimin Zhang, Dongpo Xu

IEEE Signal Process. Lett., 2024

Shuffling-type gradient method with bandwidth-based step sizes for finite-sum optimization.

Yuqing Liang, Yang Yang, Jinlan Liu, Dongpo Xu

Neural Networks, 2024

UAdam: Unified Adam-Type Algorithmic Framework for Nonconvex Optimization.

Yiming Jiang, Jinlan Liu, Dongpo Xu, Danilo P. Mandic

Neural Comput., 2024

ColorMesh: Surface and texture reconstruction of large-scale scenes from unstructured colorful point clouds with adaptive automatic viewpoint selection.

Mubai Li, Zhenxin Zhang, Siyun Chen, Liqiang Zhang, Zhihua Xu, Xiaoxu Ren, Jinlan Liu, Peng Sun

Int. J. Appl. Earth Obs. Geoinformation, 2024

Learning Dynamic Knowledge Graph Embedding in Evolving Service Ecosystems via Meta-Learning.

Hongliang Sun, Jinlan Liu, Can Wang, Dianbo Sui, Zhiying Tu, Xiaofei Xu

Proceedings of the IEEE International Conference on Web Services, 2024

Optimization Algorithm for Emission Reduction Schemes Based on Carbon Footprint Prediction.

Hongliang Sun, Feifei Wang, Meng Wang, Jinlan Liu, Qiao Guan

Proceedings of the Service Science - CCF 17th International Conference, 2024

2023

Stochastic momentum methods for non-convex learning without bounded assumptions.

Yuqing Liang, Jinlan Liu, Dongpo Xu

Neural Networks, August, 2023

Last-iterate convergence analysis of stochastic momentum methods for neural networks.

Jinlan Liu, Dongpo Xu, Yinghua Lu, Jun Kong, Danilo P. Mandic

Neurocomputing, March, 2023

Convergence of Adam for Non-convex Objectives: Relaxed Hyperparameters and Non-ergodic Case.

Meixuan He, Yuqing Liang, Jinlan Liu, Dongpo Xu

CoRR, 2023

UAdam: Unified Adam-Type Algorithmic Framework for Non-Convex Stochastic Optimization.

Yiming Jiang, Jinlan Liu, Dongpo Xu, Danilo P. Mandic

CoRR, 2023

2022

Convergence analysis of AdaBound with relaxed bound functions for non-convex optimization.

Jinlan Liu, Jun Kong, Dongpo Xu, Miao Qi, Yinghua Lu

Neural Networks, 2022

SGD-rα: A real-time α-suffix averaging method for SGD with biased gradient estimates.

Jianqi Luo, Jinlan Liu, Dongpo Xu, Huisheng Zhang

Neurocomputing, 2022

2021

Scaling transition from momentum stochastic gradient descent to plain stochastic gradient descent.

Kun Zeng, Jinlan Liu, Zhixia Jiang, Dongpo Xu

CoRR, 2021

Decreasing scaling transition from adaptive gradient descent to stochastic gradient descent.

Kun Zeng, Jinlan Liu, Zhixia Jiang, Dongpo Xu

CoRR, 2021

2020

Split-Bregman Algorithm with Attenuation Correction for L-Shell Polychromatic X-ray Fluorescence Computed Tomography.

Long Liu, Bo Ma, Xiaowei Liu, Jinlan Liu, Ning Ding

J. Medical Imaging Health Informatics, 2020

2007

A Hybrid Immune Genetic Algorithm Approach to Optimize the Integrated Forward/Reverse Logistics Network for 3PLs.

Jinlan Liu, Ni Jian

Proceedings of the Third International Conference on Natural Computation, 2007

Using DEA and Grey Markovian Model to Measure the Goal Cost of Petroleum Enterprise.

Jinlan Liu, Meng-dong Wang, Yin Bai

Proceedings of the Computational Science - ICCS 2007, 7th International Conference, Beijing, China, May 27, 2007

A New Approach to Forecast Crude Oil Price Based on Fuzzy Neural Network.

Jinlan Liu, Yin Bai, Bin Li

Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery, 2007

Fuzzy Clustering Graph for Graded-Evaluation of Hydrocarbon Reserves Value.

Jinlan Liu, Yuan Li, Xiaojun Zhou

Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery, 2007

Fuzzy Influence Diagrams: An Approach to Customer Satisfaction Measurement.

Na An, Jinlan Liu, Yin Bai

Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery, 2007

2006

Risk Analysis for Oil and Gas Exploration Project.

Jinlan Liu, Yin Bai, Ying Yu

Proceedings of the 2006 International Conference on Computational Intelligence for Modelling Control and Automation (CIMCA 2006), International Conference on Intelligent Agents, Web Technologies and Internet Commerce (IAWTIC 2006), 29 November, 2006