Guoliang Lin

14 papers A* 1Journal 11Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A novel robust integrating method by high-order proximity for self-supervised attribute network embedding. Expert Syst. Appl. Zelong Wu, Yidan Wang, Kaixia Hu, Guoliang Lin, Xinwei Xu
2025	J	`jnl`	Adversarial network embedding with bootstrapped representations for sparse networks. Appl. Intell. Zelong Wu, Yidan Wang, Guoliang Lin, Junlong Liu
2025	J	`jnl`	Deep learning reveals determinants of transcriptional infidelity at nucleotide resolution in the allopolyploid line by goldfish and common carp hybrids. Briefings Bioinform. Kaizhuang Jing, Tingchu Wei, Xuedie Gu, Guoliang Lin, Lin Liu, Jing Luo
2025	J	`jnl`	Image Superresolution Reconstruction Method Research Based on Improved Residual Network. Autom. Control. Comput. Sci. Lan Li, Yun Zhang, Guoliang Lin, Chengjun Xu
2025	J	`jnl`	The study of blended teaching based on knowledge graph: the case of clinical microbiology examination course. Educ. Inf. Technol. Xia Liu, Pei Shen, Xizhu Xu, Ling Meng, Jing Ni, Guoliang Lin, Fengping Jiao
2024	J	`jnl`	Establishment of a Mass Concrete Strength-Monitoring Method Using Barium Titanate-Bismuth Ferrite/Polyvinylidene Fluoride Nanocomposite Piezoelectric Sensors with Temperature Stability. Sensors Guoliang Lin, Dongwang Lu, Bowen Cui, Aoxiang Lin, Minyi Liu, Yongbin Ye
2024	—	`conf`	MAMixer: Multivariate Time Series Forecasting via Multi-axis Mixing. MMM (1) Yongyu Liu, Guoliang Lin, Hanjiang Lai, Yan Pan
2024	J	`jnl`	Revisiting Few-Shot Learning From a Causal Perspective. IEEE Trans. Knowl. Data Eng. Guoliang Lin, Yongheng Xu, Hanjiang Lai, Jian Yin
2023	J	`jnl`	Association filtering and generative adversarial networks for predicting lncRNA-associated disease. BMC Bioinform. Hua Zhong, Jing Luo, Lin Tang, Shicheng Liao, Zhonghao Lu, Guoliang Lin, Robert W. Murphy, Lin Liu
2023	J	`jnl`	Improving Entropy-Based Test-Time Adaptation from a Clustering View. CoRR Guoliang Lin, Hanjiang Lai, Yan Pan, Jian Yin
2022	J	`jnl`	Revisiting Few-Shot Learning from a Causal Perspective. CoRR Guoliang Lin, Hanjiang Lai
2022	A*	`conf`	Towards Better Plasticity-Stability Trade-off in Incremental Learning: A Simple Linear Connector. CVPR Guoliang Lin, Hanlu Chu, Hanjiang Lai
2021	—	`conf`	P53 Pathway Activate Detection based on Machine Learning: The modified XGBoost-based method of pan-cancer pathway activity detection in the Cancer Genome Atlas. CCEAI Alima Zhang, Chaorui Liu, Guoliang Lin
2021	J	`jnl`	Towards Better Plasticity-Stability Trade-off in Incremental Learning: A simple Linear Connector. CoRR Guoliang Lin, Hanglu Chu, Hanjiang Lai