| 2025 | Masked Aggregation Learning for Enhancing Distributed Gradient Boosting Decision Trees. | Yuting Zha, Chao Lin, Xinyi Huang, Dugang Liu |
| 2025 | Mamba Model Based on GloVe Word Embedding for Sentiment Analysis. | Liepan Yu, Jiawei Zhu, Zhonglun Wei |
| 2025 | SGCoT: Self-generating Chain-Of-Thought for Discipline Classification. | Peng Yu, Faren Yan, Xin Chen |
| 2025 | Text Attributed Graph Node Classification Using Sheaf Neural Networks and Large Language Models. | Haoyang Yu, Zhongyu Li, Geng Zhao, Jiayu Li, Ruofei Jiang |
| 2025 | SKG-LLM: Enhancing Large Language Models with Sentiment Knowledge Graphs for Fine-Grained Sentiment Analysis. | Yixuan Yuan, Bixuan Li |
| 2025 | DeNoiseFood Dataset with ECAMixDNet: An Efficient Denoising Framework for Complex Textured Food Images. | Xin Yuan, Yonghui Chen, Fupan Wang, Ruiying Wang, Weijie Tang |
| 2025 | MCIGLE: Multimodal Exemplar-Free Class-Incremental Graph Learning. | Haochen You, Baojing Liu |
| 2025 | Metric Embedding Initialization-Based Differentially Private and Explainable Graph Clustering. | Haochen You, Baojing Liu |
| 2025 | Leveraging Language Model and Knowledge Tracing for Personalized Question Generation. | Zhongwei Yin, Li Li, Xiaofei Xu, Yao Li, Hao Zhou |
| 2025 | FedBCE: Rethinking Clustered Federated Learning for Better Clustering Efficiency. | Huaibin Ye, Zuobin Ying, Jiechao Gao, Ximeng Liu, Jianping Cai |
| 2025 | Gradient Balanced Part-Whole Relational Weakly Supervised Semantic Segmentation. | Zhuang Yao, Guangqi Jiang, Lin Shi, Gengshen Wu, Shoukun Xu, Yi Liu |
| 2025 | LWMUNet: Enhancing Semantic Segmentation with Learnable Linked Sliding-Window Serialization. | Sizhe Yang, Yutao Qin, Wei Ren |
| 2025 | Causal Encoding Generative Model Based on Attention and KAN. | Jing Yang, Xiangbin Meng, Xuanli Qin, Xianjun Xu, Zhangxiang Hu |
| 2025 | MatSciES: Automated Knowledge Extraction and Summarization from Materials Science Literature with Large Language Models. | Jialin Xu, Jinguo You, Chuhan Zhang, Huaze Huang, Jingmei Tao, Jianhong Yi |
| 2025 | Edge-Knowledge-Driven Smoke Removal Based on Infrared and Visible Image Fusion. | Hengye Xu, Renping Xie, Ming Tao |
| 2025 | DarkFusionNet: A Fusion Neural Network Based Architecture for Darknet Text Classification. | Anyang Xu, Peng Wu, Dong Wang, Bowen Yang |
| 2025 | DRL-SA: Deep Reinforcement Learning-Based Client Selection and Secure Aggregation for Federated Learning. | Qiuhao Xu, Chen Wang, Jian Shen |
| 2025 | Service Area Vehicle Flow Prediction Model for Highway Service Areas Based on Gravity Model Quadratic Assignment. | Feng Xu, Lai Meng, Yichu Dai, Zhengdong Fei, Canghong Jin, Lina Wei |
| 2025 | Geo-DETR: Geographical Map Detection Based on Multi-stage Gradient Feature Fusion. | Yan Xu, Chuantao Li, Zhenqiang Zhang, Liting Geng, Yue Liu, Chunxiao Wang, Zhigang Zhao, Jialiang Lv |
| 2025 | Seaformer: An Adaptive Forecasting Framework for Multi-source Heterogeneous Ocean Observation Data. | Yingdi Xu, Xiang Li, Lu Wu, Xiaoning Wang, Zhigang Zhao, Jian Zhang |
| 2025 | Multi-agent Collaborative Framework with Few-Shot CoT for Threat Detection. | Tianxiang Xu, Chang Liu, Zihao Wang, Kangsheng Wang |
| 2025 | An Agent-Based Cybersecurity Framework Enhanced by Large Language Models: Integrating Retrieval-Augmented Generation and Monte Carlo Tree Search. | Tianxiang Xu, Chang Liu, Zihao Wang, Jiahao Li, Kangsheng Wang |
| 2025 | Community Detection Attack Based on Balanced Budget Allocation. | Panmiao Xue, Haipeng Yang, Fuwu Liu, Zhi Chen, Lili Zhou, Xuanhao Su, Lei Zhang |
| 2025 | FedDYS: Federated Learning Based on Local Regularization Against Data Heterogeneity. | Jiao Xue, Chundong Wang |
| 2025 | MSCAN: Multi-scale Context-Aware Network for Multivariate Long-Time Forecasting. | Te Xue, Yuanfei Deng, Shun Mao, Weixing Wang, Meiman Li |