Guoliang Lin

According to our database, Guoliang Lin authored at least 12 papers between 2021 and 2025.

Collaborative distances:

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

2025

Adversarial network embedding with bootstrapped representations for sparse networks.

Zelong Wu, Yidan Wang, Guoliang Lin, Junlong Liu

Appl. Intell., April, 2025

A novel robust integrating method by high-order proximity for self-supervised attribute network embedding.

Zelong Wu, Yidan Wang, Kaixia Hu, Guoliang Lin, Xinwei Xu

Expert Syst. Appl., 2025

Deep learning reveals determinants of transcriptional infidelity at nucleotide resolution in the allopolyploid line by goldfish and common carp hybrids.

Kaizhuang Jing, Tingchu Wei, Xuedie Gu, Guoliang Lin, Lin Liu, Jing Luo

Briefings Bioinform., 2025

2024

Revisiting Few-Shot Learning From a Causal Perspective.

Guoliang Lin, Yongheng Xu, Hanjiang Lai, Jian Yin

IEEE Trans. Knowl. Data Eng., November, 2024

Establishment of a Mass Concrete Strength-Monitoring Method Using Barium Titanate-Bismuth Ferrite/Polyvinylidene Fluoride Nanocomposite Piezoelectric Sensors with Temperature Stability.

Guoliang Lin, Dongwang Lu, Bowen Cui, Aoxiang Lin, Minyi Liu, Yongbin Ye

Sensors, July, 2024

MAMixer: Multivariate Time Series Forecasting via Multi-axis Mixing.

Yongyu Liu, Guoliang Lin, Hanjiang Lai, Yan Pan

Proceedings of the MultiMedia Modeling - 30th International Conference, 2024

2023

Association filtering and generative adversarial networks for predicting lncRNA-associated disease.

Hua Zhong, Jing Luo, Lin Tang, Shicheng Liao, Zhonghao Lu, Guoliang Lin, Robert W. Murphy, Lin Liu

BMC Bioinform., December, 2023

Improving Entropy-Based Test-Time Adaptation from a Clustering View.

Guoliang Lin, Hanjiang Lai, Yan Pan, Jian Yin

CoRR, 2023

2022

Revisiting Few-Shot Learning from a Causal Perspective.

Guoliang Lin, Hanjiang Lai

CoRR, 2022

Towards Better Plasticity-Stability Trade-off in Incremental Learning: A Simple Linear Connector.

Guoliang Lin, Hanlu Chu, Hanjiang Lai

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Towards Better Plasticity-Stability Trade-off in Incremental Learning: A simple Linear Connector.

Guoliang Lin, Hanglu Chu, Hanjiang Lai

CoRR, 2021

P53 Pathway Activate Detection based on Machine Learning: The modified XGBoost-based method of pan-cancer pathway activity detection in the Cancer Genome Atlas.

Alima Zhang, Chaorui Liu, Guoliang Lin

Proceedings of the CCEAI 2021: 5th International Conference on Control Engineering and Artificial Intelligence, 2021