| 2024 | MAGIC: Multi-prompt Any Length Video Generation Model with Controllable Inter-frame Correlation and Low Barrier. | Jialiang Xu, Weiran Chen, Lingbing Xu, Weitao Song, Yi Ji, Ying Li, Chunping Liu |
| 2024 | A Novel Graph Neural Network Based Model for Text Classification. | Rui Xiong, Hongying Zheng, Zongbing Wang |
| 2024 | Anomaly Detection in Blockchain Using Multi-source Embedding and Attention Mechanism. | Ao Xiong, Chenbin Qiao, Baozhen Qi, Chengling Jiang |
| 2024 | Multimodal Monocular Dense Depth Estimation with Event-Frame Fusion Using Transformer. | Baihui Xiao, Jingzehua Xu, Zekai Zhang, Tianyu Xing, Jingjing Wang, Yong Ren |
| 2024 | Day-Ahead Scenario Analysis of Wind Power Based on ICGAN and IDTW-Kmedoids. | Yun Wu, Wenhan Zhao, Yongbin Zhao, Jieming Yang, Diwen Liu, Ning An, Yifan Huang |
| 2024 | Short-Term Forecasting of Wind Power Using CEEMDAN-ICOA-GRU Model. | Yun Wu, Wei Zheng, Yongbin Zhao, Jieming Yang, Ning An, Dan Feng |
| 2024 | DBrAL: A Novel Uncertainty-Based Active Learning Based on Deep-Broad Learning for Medical Image Classification. | Hongjiang Wu, Yuping Zhong, Guoqiang Han, Jiatai Lin, Zaiyi Liu, Chu Han |
| 2024 | SCANet: Dual Attention Network for Alzheimer's Disease Diagnosis Based on Gated Residual and Spatial Asymmetry Mechanisms. | Donghan Wu, Shuyuan Yang, Zhichang Wang, Shuqi Yang, Ping Liang, Boxun Zhang, Yi Li, Jiaqing Miao, Ying Tan |
| 2024 | ESSformer: Transformers with ESS Attention for Long-Term Series Forecasting. | Siyu Wu, Kai Xiong, Feiyang Yu, Xiyu Pan, Jianjun Li |
| 2024 | Layer-Wised Sparsification Based on Hypernetwork for Distributed NN Training. | Yusen Wu, Jiaxun Li, Qing Ye |
| 2024 | CPH DETR: Comprehensive Regression Loss for End-to-End Object Detection. | Jihao Wu, Shufang Li, Guxia Kang, Yuqing Yang |
| 2024 | ABSA Methodology Based on Interval-Enhanced Talking-Heads Attention Network. | Yun Wu, Yifan Huang, Jieming Yang, Yongbin Zhao, Ning An, Dan Feng |
| 2024 | CapsDA-Net: A Convolutional Capsule Domain-Adversarial Neural Network for EEG-Based Attention Recognition. | Qian Wu, Yongjian Chen, Yuyu Sun, Jiahui Pan |
| 2024 | Restricted Reservoirs on Heterogeneous Timescales. | Chester Wringe, Susan Stepney, Martin A. Trefzer |
| 2024 | Masked Image Modeling as a Framework for Self-Supervised Learning Across Eye Movements. | Robin Weiler, Matthias Brucklacher, Cyriel M. A. Pennartz, Sander M. Boht |
| 2024 | Dynamic Graph for Biological Memory Modeling: A System-Level Validation. | Hui Wei, Chenyue Feng, Jianning Zhang |
| 2024 | Estimate of the Storage Capacity of q-Correlated Patterns in Hopfield Neural Networks. | Roseli Suzi Wedemann, Angel Ricardo Plastino, Constantino Tsallis, Evaldo M. F. Curado |
| 2024 | Small Object Detection Based on Bidirectional Feature Fusion and Multi-scale Distillation. | Lingyu Wang, Zijie Zhou, Guanqun Shi, Junkang Guo, Zhigang Liu |
| 2024 | Weakly-Supervised Semantic Segmentation via Label Re-assignment in Dual-View Framework. | Chen Wang, Di Zhang, Xiaolong Li, Huifang Ma, Zhixin Li |
| 2024 | Vehicle-Based Evolutionary Travel Time Estimation with Deep Meta Learning. | Chenxing Wang, Fang Zhao, Haiyong Luo, Yuchen Fang, Haichao Zhang, Haoyu Xiong |
| 2024 | Two-Stage Medical Image-Text Transfer with Supervised Contrastive Learning. | Xingren Wang, Sixing Yin, Yining Wang, Jiayue Li, Shufang Li |
| 2024 | SAM-NeRF: NeRF-Based 3D Instance Segmentation with Segment Anything Model. | Xi Wang, Linglin Xie, Peng Qiao, Yong Dou, Sidun Liu, Wenyu Li, Kaijun Yang |
| 2024 | Feature Activation-Driven Zero-Shot NAS: A Contrastive Learning Framework. | Di Wang, Xunzhi Xiang, Kun Jing, Jungang Xu |
| 2024 | Hybrid Encoder for Anomaly Detection Based on Latent Feature Regularization. | Junwei Wang, Yunpeng Wang, Jinquan Zeng |
| 2024 | EL-FDL: Improving Image Forgery Detection and Localization via Ensemble Learning. | Bin Wang, Feifan Wang, Jingge Wang, Haonan Yan, Shaopeng Zhou, Chaohao Li |