Jinlan Liu

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 13

Top Topics

Convex Optimization

Top Venues

Neural Networks

IEEE Trans. Signal Process.

Publications

Yuqing Liang, Hui Su, Jinlan Liu, Dongpo Xu
mPage: Probabilistic Gradient Estimator With Momentum for Non-Convex Optimization. IEEE Trans. Signal Process. 72 (2024)
Yuqing Liang, Yang Yang, Jinlan Liu, Dongpo Xu
Shuffling-type gradient method with bandwidth-based step sizes for finite-sum optimization. Neural Networks 179 (2024)
Mubai Li, Zhenxin Zhang, Siyun Chen, Liqiang Zhang, Zhihua Xu, Xiaoxu Ren, Jinlan Liu, Peng Sun
ColorMesh: Surface and texture reconstruction of large-scale scenes from unstructured colorful point clouds with adaptive automatic viewpoint selection. Int. J. Appl. Earth Obs. Geoinformation 132 (2024)
Yuqing Liang, Jinlan Liu, Dongpo Xu
Stochastic momentum methods for non-convex learning without bounded assumptions. Neural Networks 165 (2023)
Yiming Jiang, Jinlan Liu, Dongpo Xu, Danilo P. Mandic
UAdam: Unified Adam-Type Algorithmic Framework for Non-Convex Stochastic Optimization. CoRR (2023)
Jinlan Liu, Dongpo Xu, Yinghua Lu, Jun Kong, Danilo P. Mandic
Last-iterate convergence analysis of stochastic momentum methods for neural networks. Neurocomputing 527 (2023)
Meixuan He, Yuqing Liang, Jinlan Liu, Dongpo Xu
Convergence of Adam for Non-convex Objectives: Relaxed Hyperparameters and Non-ergodic Case. CoRR (2023)
Jinlan Liu, Jun Kong, Dongpo Xu, Miao Qi, Yinghua Lu
Convergence analysis of AdaBound with relaxed bound functions for non-convex optimization. Neural Networks 145 (2022)
Dongpo Xu, Jinlan Liu, Yinghua Lu, Jun Kong, Danilo P. Mandic
Last-iterate convergence analysis of stochastic momentum methods for neural networks. CoRR (2022)
Jianqi Luo, Jinlan Liu, Dongpo Xu, Huisheng Zhang
SGD-rα: A real-time α-suffix averaging method for SGD with biased gradient estimates. Neurocomputing 487 (2022)
Kun Zeng, Jinlan Liu, Zhixia Jiang, Dongpo Xu
Decreasing scaling transition from adaptive gradient descent to stochastic gradient descent. CoRR (2021)
Kun Zeng, Jinlan Liu, Zhixia Jiang, Dongpo Xu
Scaling transition from momentum stochastic gradient descent to plain stochastic gradient descent. CoRR (2021)
Long Liu, Bo Ma, Xiaowei Liu, Jinlan Liu, Ning Ding
Split-Bregman Algorithm with Attenuation Correction for L-Shell Polychromatic X-ray Fluorescence Computed Tomography. J. Medical Imaging Health Informatics 10 (3) (2020)
Jinlan Liu, Ni Jian
A Hybrid Immune Genetic Algorithm Approach to Optimize the Integrated Forward/Reverse Logistics Network for 3PLs. ICNC (3) (2007)
Jinlan Liu, Meng-dong Wang, Yin Bai
Using DEA and Grey Markovian Model to Measure the Goal Cost of Petroleum Enterprise. International Conference on Computational Science (3) (2007)
Jinlan Liu, Yin Bai, Bin Li
A New Approach to Forecast Crude Oil Price Based on Fuzzy Neural Network. FSKD (3) (2007)
Na An, Jinlan Liu, Yin Bai
Fuzzy Influence Diagrams: An Approach to Customer Satisfaction Measurement. FSKD (4) (2007)
Jinlan Liu, Yuan Li, Xiaojun Zhou
Fuzzy Clustering Graph for Graded-Evaluation of Hydrocarbon Reserves Value. FSKD (4) (2007)
Jinlan Liu, Yin Bai, Ying Yu
Risk Analysis for Oil and Gas Exploration Project. CIMCA/IAWTIC (2006)