| 2024 | MixCL: Mixed Contrastive Learning for Relation Extraction. | Jinglei Zhang, Bo Li, Xixin Cao, Minghui Zhang, Wen Zhao |
| 2024 | Chaotic Neural Oscillators with Deep Graph Neural Network for Node Classification. | Le Zhang, Raymond S. T. Lee |
| 2024 | Multi-task Contrastive Learning for Anomaly Detection on Attributed Networks. | Junjie Zhang, Yuxin Ding |
| 2024 | On Diverse and Precise Recommendations for Small and Medium-Sized Enterprises. | Ludwig Zellner, Simon Rauch, Janina Sontheim, Thomas Seidl |
| 2024 | MHDF: Multi-source Heterogeneous Data Progressive Fusion for Fake News Detection. | Yongxin Yu, Ke Ji, Yuan Gao, Zhenxiang Chen, Kun Ma, Jun Wu |
| 2024 | Bi-CryptoNets: Leveraging Different-Level Privacy for Encrypted Inference. | Man-Jie Yuan, Zheng Zou, Wei Gao |
| 2024 | Layer-Wise Sparse Training of Transformer via Convolutional Flood Filling. | Bokyeong Yoon, Yoonsang Han, Gordon Euhyun Moon |
| 2024 | Two-Stage Knowledge Graph Completion Based on Semantic Features and High-Order Structural Features. | Xiang Ying, Shimei Luo, Mei Yu, Mankun Zhao, Jian Yu, Jiujiang Guo, Xuewei Li |
| 2024 | AdaPQ: Adaptive Exploration Product Quantization with Adversary-Aware Block Size Selection Toward Compression Efficiency. | Yan-Ting Ye, Ting-An Chen, Ming-Syan Chen |
| 2024 | Dfp-Unet: A Biomedical Image Segmentation Method Based on Deformable Convolution and Feature Pyramid. | Zengzhi Yang, Yubin Wei, Xiao Yu, Jinting Guan |
| 2024 | Attention Mechanism Based Multi-task Learning Framework for Transportation Time Prediction. | Miaomiao Yang, Tao Wu, Jiali Mao, Kaixuan Zhu, Aoying Zhou |
| 2024 | Random Mask Perturbation Based Explainable Method of Graph Neural Networks. | Xinyue Yang, Hai Huang, Xingquan Zuo |
| 2024 | Kernel Representation Learning with Dynamic Regime Discovery for Time Series Forecasting. | Kunpeng Xu, Lifei Chen, Jean-Marc Patenaude, Shengrui Wang |
| 2024 | Efficient and Accurate Similarity-Aware Graph Neural Network for Semi-supervised Time Series Classification. | Wenjie Xi, Arnav Jain, Li Zhang, Jessica Lin |
| 2024 | Graph-based Dynamic Preference Modeling for Personalized Recommendation. | Jiaqi Wu, Yidan Xu, Bowen Zhang, Zekun Xu, Bohan Li |
| 2024 | STL-ConvTransformer: Series Decomposition and Convolution-Infused Transformer Architecture in Multivariate Time Series Anomaly Detection. | Yu-Xiang Wu, Bi-Ru Dai |
| 2024 | Improving Structural and Semantic Global Knowledge in Graph Contrastive Learning with Distillation. | Mi Wen, Hongwei Wang, Yunsheng Xue, Yi Wu, Hong Wen |
| 2024 | Construction of Academic Innovation Chain Based on Multi-level Clustering of Field Literature. | Cheng Wei, Cong Tianshi |
| 2024 | LEMT: A Label Enhanced Multi-task Learning Framework for Malevolent Dialogue Response Detection. | Kaiyue Wang, Fan Yang, Yucheng Yao, Xiabing Zhou |
| 2024 | A Data-Driven Approach for Building a Cardiovascular Disease Risk Prediction System. | Hongkuan Wang, Raymond K. Wong, Kwok Leung Ong |
| 2024 | APFL: Active-Passive Forgery Localization for Medical Images. | Nan Wang, Jiaqi Shi, Liping Yi, Gang Wang, Ming Su, Xiaoguang Liu |
| 2024 | Conditional Denoising Diffusion for Sequential Recommendation. | Yu Wang, Zhiwei Liu, Liangwei Yang, Philip S. Yu |
| 2024 | Enhancing Network Role Modeling: Introducing Attributed Multiplex Structural Role Embedding for Complex Networks. | Lili Wang, Chenghan Huang, Ruiye Yao, Chongyang Gao, Weicheng Ma, Soroush Vosoughi |
| 2024 | Rethinking Personalized Federated Learning with Clustering-Based Dynamic Graph Propagation. | Jiaqi Wang, Yuzhong Chen, Yuhang Wu, Mahashweta Das, Hao Yang, Fenglong Ma |
| 2024 | Recovering Population Dynamics from a Single Point Cloud Snapshot. | Yuki Wakai, Koh Takeuchi, Hisashi Kashima |