| 2024 | ECG Signal Classification with a Multi-stage Model Integrating CNN, SNN, and ResNet. | Xiangyu Shi, Dianjing Cheng, Xingyu Wu, Ping Ye, Jingqi Jia, Jiqiang Liu, Wenjia Niu |
| 2024 | HHP: A Hybrid Partitioner for Large-Scale Hypergraph. | Junlin Shang, Zhenyu Zhang, Wenwen Qu, Xiaoling Wang |
| 2024 | An Ensemble Learning Method Based on Neighborhood Random Super-Reduct for Software Defect Number Prediction. | Yuqi Sha, Yixuan Jiang, Junwei Du, Qiang Hu, Feng Jiang |
| 2024 | Attend2trend: Attention-Based LSTM Model for Detecting and Forecasting of Trending Topics. | Ahmed Saleh |
| 2024 | Enhancing Chemistry-Domain Scientific Paper Summarization by Knowledge Graphs. | Yutong Qu, Jian Yang, Weitong Chen, Yan Jiao, Lishan Yang, Congbo Ma |
| 2024 | Multi-Attribute Sequential Recommendation. | Shuhan Qiu, Shanming Wei, Qianmu Li |
| 2024 | Attention-Based Causal Graph Convolutional Collaborative Filtering. | Youhan Qi, Xinglin Liu, Chenyu Li, Ying Wang |
| 2024 | Towards Adaptive Context Management for Intelligent Conversational Question Answering. | Manoj Madushanka Perera, Adnan Mahmood, Kasun Eranda Wijethilake, Quan Z. Sheng |
| 2024 | LTSMamba: A Long-Term Time Series Forecasting Model Based on Mamba-2. | Xiyang Peng, Ruoxin Ni, Yuncheng Jiang |
| 2024 | Enhancing IoT Security: Hybrid Machine Learning Approach for IoT Attack Detection. | Alavikunhu Panthakkan, Anzar S. M., Dina Shehada, Wathiq Mansoor, Husain Alahamed |
| 2024 | Graph Fusion Based Autoencoder for Node Clustering. | Ci Nie, Yujing Liu, Jian Wei, Guoqiu Wen |
| 2024 | Multi-task Learning of Heterogeneous Hypergraph Representations in LBSNs. | Dong Duc Anh Nguyen, Minh Hieu Nguyen, Phi Le Nguyen, Jun Jo, Hongzhi Yin, Thanh Tam Nguyen |
| 2024 | Improving Time Series Classification with Representation Soft Label Smoothing. | Hengyi Ma, Weitong Chen |
| 2024 | Path-Aware Siamese Graph Neural Network for Link Prediction. | Jingsong Lv, Zhao Li, Hongyang Chen, Ting Li |
| 2024 | Application of BERT-GraphSAGE Model in Text and Paper Classification Tasks. | Junwen Lu, Lingrui Zheng, Moudong Zhang |
| 2024 | UID-Net: Enhancing Click-Through Rate Prediction in Trigger-Induced Recommendation Through User Interest Decomposition. | Jiazhen Lou, Zhao Li, Hong Wen, Jingsong Lv, Jing Zhang, Fuyu Lv, Zulong Chen, Jia Wu |
| 2024 | A Differential Privacy Federated Learning Approach for Diabetic Retinopathy Detection. | Yicheng Li, Yijia Zhang, Guantong Liu, Mingyu Lu |
| 2024 | ResGAT: Embedding Adjacent Connectivity of Brain Regions from fMRI for Accurate Parkinson's Disease Recognition. | Shuyang Li, Yu Yang, Yichen Lv, Jiangnan Xia, Xin Wang |
| 2024 | ESNet: Perceptive Spatial-Spectral Fusion with Multi-stage Reconstruction for Pansharpening. | Chao Li, Zixuan Xu, Juntao Gu, Moule Lin, Weipeng Jing |
| 2024 | An Active Learning Method via Expected Model Loss Reduction. | Yahe Li, Zhipeng Xie |
| 2024 | Enhancing Embedding and Hierarchical Reward Shaping for Multi-Hop Reasoning with Reinforcement Learning. | Heng Li, Jinhui Wei, Jicheng Yu, Yuncheng Jiang |
| 2024 | Graph Contrastive Learning for Multi-behavior Recommendation. | Haiying Li, Huihui Wang, Shunmei Meng, Xingguo Chen |
| 2024 | Enhancing Network Intrusion Detection with VAE-GNN. | Junyu Li, Haoxi Wang |
| 2024 | GKF-mQA: Generative Knowledge Fusion Based on Large Language Models for Enhancing Medical Question Answering. | Xinbai Li, Man Wu |
| 2024 | A Multi-View Framework for Fake News Detection Utilizing Dynamic User Propagation Structures, Temporal Changes, and Personal Attributes. | Nan Liu, Fengli Zhang, Ye Zhu, Ruijing Wang, Chao Tang, Xikai Pei |