Song Liu

According to our database, Song Liu authored at least 20 papers between 2020 and 2025.

Collaborative distances:

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

2025

A Triplet Optimization and Difference Detail Perception Network with Adaptive Feature Enhancement for Radiology Report Generation.

Yijie Zeng, Zhen Zhang, Wenfeng Jiang, Song Liu

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2025

A Retrieval Filtering and Thought Enhancement Framework for Function-Level Code Generation Based on Large Language Model.

Chao Wu, Pusheng Zhang, Xuesong Jiang, Song Liu

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2025

A Disease Feature Fusion and Drug Constraint Decision GNN Model for Personalized Drug Recommendation.

Zan Kong, Wentong Wan, Jing Zhao, Song Liu

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2025

2024

A Collaborative Heterogeneous Graph Neural Network for Personalized News Recommendation.

Chenglong Shi, Haibin Geng, Wenfeng Jiang, Jinbao Li, Chao Wu, Song Liu

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2024

A Cross-Modal Interactive Memory Network Based on Fine-Grained Medical Feature Extraction for Radiology Report Generation.

Xitong Ma, Yuansen Kuang, Lin Yuan, Cheng Tian, Yijie Zeng, Song Liu

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2024

A Novel 3D Medical Image Segmentation Model Using Improved SAM.

Yuansen Kuang, Xitong Ma, Jing Zhao, Guangchen Wang, Yijie Zeng, Song Liu

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2024

An Entity Relation Extraction Framework Based on Large Language Model and Multi-Tasks Iterative Prompt Engineering.

Haibin Geng, Chenglong Shi, Xuesong Jiang, Zan Kong, Song Liu

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2024

2023

A residual attention-based privacy-preserving biometrics model of transcriptome prediction from genome.

Cheng Tian, Song Liu, Jinbao Li, Guangchen Wang, Luyue Kong

Proceedings of the 22nd IEEE International Conference on Trust, 2023

An Instruction Inference Graph Optimal Transport Network Model For Biomedical Commonsense Question Answering.

Luyue Kong, Shu Zhang, Jinbao Li, Song Liu

Proceedings of the 22nd IEEE International Conference on Trust, 2023

DP-ProtoNet: An interpretable dual path prototype network for medical image diagnosis.

Luyue Kong, Ling Gong, Guangchen Wang, Song Liu

Proceedings of the 22nd IEEE International Conference on Trust, 2023

A Novel Multimodal Prototype Network for Interpretable Medical Image Classification.

Guangchen Wang, Jinbao Li, Cheng Tian, Xitong Ma, Song Liu

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

A Dynamic Global Semantic Fusion GNN Model For Commonsense Question Answering.

Jinbao Li, Guangchen Wang, Cheng Tian, Song Liu

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

An Novel Interpretable Fine-grained Image Classification Model Based on Improved Neural Prototype Tree.

Jin'an Cui, Jinghao Gong, Guangchen Wang, Jinbao Li, Xiaoyu Liu, Song Liu

Proceedings of the IEEE International Symposium on Circuits and Systems, 2023

2022

Document-Level Joint Biomedical Event Extraction Model Using Hypergraph Convolutional Networks.

Jinghao Gong, Jin'an Cui, Qinghan Lai, Song Liu

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

A Novel Deep Learning Model for Link Prediction of Knowledge Graph.

Shuai Ding, Qinghan Lai, Zihan Zhou, Jinghao Gong, Jin'an Cui, Song Liu

Proceedings of the IEEE International Symposium on Circuits and Systems, 2022

A Chinese Multi-modal Relation Extraction Model for Internet Security of Finance.

Qinghan Lai, Shuai Ding, Jinghao Gong, Jin'an Cui, Song Liu

Proceedings of the 52nd Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2022

2021

Novel Joint Object Detection Algorithm Using Cascading Parallel Detectors.

Zihan Zhou, Qinghan Lai, Shuai Ding, Song Liu

Symmetry, 2021

Joint 2D Object Detection and 3D Reconstruction via Adversarial Fusion Mesh R-CNN.

Zihan Zhou, Qinghan Lai, Shuai Ding, Song Liu

Proceedings of the IEEE International Symposium on Circuits and Systems, 2021

2020

Joint Entity-Relation Extraction via Improved Graph Attention Networks.

Qinghan Lai, Zihan Zhou, Song Liu

Symmetry, 2020

A Network-Driven Approach for LncRNA-Disease Association Mapping.

Lin Yuan, Tao Sun, Jing Zhao, Song Liu, Ai-Min Li, Qin Lu, Yu-Shui Geng, Xin-Gang Wang

Proceedings of the Intelligent Computing Theories and Application, 2020