| 2024 | A Joint Client-Server Watermarking Framework for Federated Learning. | Shufen Fang, Keke Gai, Jing Yu |
| 2024 | Knowledge-Informed Molecular Learning: A Survey on Paradigm Transfer. | Yin Fang, Zhuo Chen, Xiaohui Fan, Ningyu Zhang, Huajun Chen |
| 2024 | CS Net: A Coarse-to-Fine-Grained Summarization Network for Community-Based Question Answering Summarization. | Yekun Fang |
| 2024 | Spatiotemporal Dependence Learning with Meteorological Context for Transportation Demand Prediction. | Wenxin Dong, Zili Zhang, Huangyao Deng, Chi Zhang |
| 2024 | Research on Node Cluster Analysis in Brain Connection Data. | Guangcheng Dongye, Tao Liu, Wenhao Bi, Ming Jing, Li Zhang, Jiguo Yu |
| 2024 | A Comparative Study of Different Pre-trained Language Models for Sentiment Analysis of Human-Computer Negotiation Dialogue. | Jing Dong, Xudong Luo, Junlin Zhu |
| 2024 | DICES: Diffusion-Based Contrastive Learning with Knowledge Graphs for Recommendation. | Hao Dong, Haochen Liang, Jing Yu, Keke Gai |
| 2024 | GC-DAWMAR: A Global-Local Framework for Long-Term Time Series Forecasting. | Peihao Ding, Yan Tang, Xiaoming Ding, Caijie Guo |
| 2024 | Knowledge Enhanced Zero-Shot Visual Relationship Detection. | Nan Ding, Yong Lai, Jie Liu |
| 2024 | Variational Loss of Random Sampling for Searching Cluster Number. | Jinglan Deng, Xiaohui Pan, Hanyu Yang, Jianfei Yin |
| 2024 | A Survey of Game-Theoretic Methods for Controlling COVID-19. | Zhiqi Deng, Xudong Luo, Michael Y. Luo |
| 2024 | Personalized Image Aesthetics Assessment Based on Theme and Personality. | Jiaqi Dai, Min Jiang, Fanzhen Liu, Ronghua Huang |
| 2024 | Lurking in the Shadows: Imperceptible Shadow Black-Box Attacks Against Lane Detection Models. | Xiaoshu Cui, Yalun Wu, Yanfeng Gu, Qiong Li, Endong Tong, Jiqiang Liu, Wenjia Niu |
| 2024 | Explainable Knowledge-Based Learning for Online Medical Question Answering. | Menglin Cui, Xiang Li, Peng Qin |
| 2024 | User Story Classification with Machine Learning and LLMs. | Porchourng Chuor, Ashwin Ittoo, Samedi Heng |
| 2024 | Meta-pruning: Learning to Prune on Few-Shot Learning. | Yan Chu, Keshi Liu, Songhao Jiang, Xianghui Sun, Baoxu Wang, Zhengkui Wang |
| 2024 | Collaborative Adversarial Learning for Unsupervised Federated Domain Adaptation. | Hao Chi, Yingqi Zhang, Shuo Xu, Rui Zhang, Hui Xia |
| 2024 | STM: An Improved Peak Price Tracking-Based Online Portfolio Selection Algorithm. | Geying Chen, Anyang Zhong, Jing Peng, Jianfei Yin |
| 2024 | A Student Performance Prediction Model Based on Feature Factor Transfer. | Juan Chen, Zhongbo Wu, Haiyang Jia, Qingqing Zhang, Fanping Liu, Junxian Mu, Zhijie Lin |
| 2024 | Entity Set Expansion Based on Category Prompts in MOOCs. | Yubin Chen, Jing Wan, Yexing Du, Jifan Yu, Lei Hou, Juanzi Li |
| 2024 | Dynamic Splitting of Diffusion Models for Multivariate Time Series Anomaly Detection in a JointCloud Environment. | Lanlan Chen, Xiaochuan Shi, Linjiang Zhou, Yilei Wang, Chao Ma, Weiping Zhu |
| 2024 | Feature Matching Based Heterogeneous Transfer Learning for Student Performance Prediction. | Juan Chen, Haiyang Jia, Zhongbo Wu, Junxian Mu, Ang Gao |
| 2024 | Integrated Geologic Terms and Dual Model for Chinese Geological Word Segmentation. | Shupeng Cheng, Kunkun Wu, Xiao Liu, Xianxing Tang, Maosheng Hu |
| 2024 | AgriBERT: A Joint Entity Relation Extraction Model Based on Agricultural Text. | Xiaojin Chen, Tianyue Chen, Jingbo Zhao, Yaojun Wang |
| 2024 | GA-MEPS: Multiple Experts Portfolio Selection Based on Genetic Algorithm. | Kaiyin Chao, Jing Peng, Xiaomian Xiao, Jinglan Deng, Hanyu Yang, Jianfei Yin |