| 2024 | Coarse-to-Fine Granularity in MultiScale FeatureFusion Network for SAR Ship Classification. | Wei Lin, Hao Zheng, Zhigang Hu, Meiguang Zheng, Liu Yang |
| 2024 | Enhancing Generalization in Convolutional Neural Networks Through Regularization with Edge and Line Features. | Christoph Linse, Beatrice Brckner, Thomas Martinetz |
| 2024 | Let Multi-classification Help Deep Imbalanced Regression. | Dekun Lin, Tailai Peng, Rui Chen, Xinran Xie, Zhe Cui |
| 2024 | One-Shot Object Detection with 4D-Correlation and 4D-Attention. | Qiwei Lin, Xinzhi Lin, Junjie Zhou, Qinghua Long |
| 2024 | Modal Fusion-Enhanced Two-Stream Hashing Network for Cross Modal Retrieval. | Ziyong Lin, Xiaolong Jiang, Jie Zhang, Mingyong Li |
| 2024 | Large Language Model for Action Anticipation. | Wei Li, Dezhao Luo, Dongbao Yang, Weiping Wang |
| 2024 | Towards Scalable GPU-Accelerated SNN Training via Temporal Fusion. | Yanchen Li, Jiachun Li, Kebin Sun, Luziwei Leng, Ran Cheng |
| 2024 | Boosting Attributed Graph Anomaly Detection via Negative Sample Awareness. | Jun Li, Meiting Li, Mark Junjie Li, Lingxuan Zhu, Jiang Liu, Gen Zhao, Xiang Luo |
| 2024 | EMDFNet: Efficient Multi-scale and Diverse Feature Network for Traffic Sign Detection. | Pengyu Li, Chenhe Liu, Tengfei Li, Xinyu Wang, Shihui Zhang, Dongyang Yu |
| 2024 | Interpretable EHR Disease Prediction System Based on Disease Experts and Patient Similarity Graph (DE-PSG). | Wenxiang Li, K. L. Eddie Law |
| 2024 | Siamese Visual Tracking with Correlation and Awareness. | Rui Li, Jinlong Li |
| 2024 | TF-CL: Time Series Forcasting Based on Time-Frequency Domain Contrastive Learning. | Wen Li, Yun Gu, Shouguo Du |
| 2024 | CSAFT: Continuous Semantic Augmentation Fine-Tuning for Legal Large Language Models. | Bo Li, Shuang Fan, Jin Huang |
| 2024 | Tailored Finite Point Operator Networks for Interface Problems. | Ye Li, Ting Du, Zhongyi Huang |
| 2024 | A Deep Learning Multi-omics Framework to Combine Microbiome and Metabolome Profiles for Disease Classification. | Andrea Licciardi, Antonino Fiannaca, Massimo La Rosa, Alfonso Urso, Laura La Paglia |
| 2024 | Federated Adversarial Learning for Robust Autonomous Landing Runway Detection. | Yi Li, Plamen Angelov, Zhengxin Yu, Alvaro Lopez Pellicer, Neeraj Suri |
| 2024 | Summarizing Like Human: Edit-Based Text Summarization with Keywords. | Yukang Liang, Junliang Guo, Yongxin Zhu, Linli Xu |
| 2024 | CauchyGCN: Preserving Local Smoothness in Graph Convolutional Networks via a Cauchy-Based Message-Passing Scheme and Clustering Analysis. | Peiyu Liang, Hongchang Gao, Xubin He |
| 2024 | Machine Learning Accelerated Prediction of 3D Granular Flows in Hoppers. | Duy Le, Linh Nguyen, Truong Phung, David Howard, Gayan Kahandawa, M. Manzur Murshed, Gary W. Delaney |
| 2024 | Serial Order Codes for Dimensionality Reduction in the Learning of Higher-Order Rules and Compositionality in Planning. | Krzysztof Lebioda, Alexandre Pitti, Fabrice O. Morin, Alois Knoll |
| 2024 | Learning Solutions of Stochastic Optimization Problems with Bayesian Neural Networks. | Alan A. Lahoud, Erik Schaffernicht, Johannes A. Stork |
| 2024 | Some Comparisons of Linear and Deep ReLU Network Approximation. | Vera Kurkov |
| 2024 | Driver Safety System: A Real-Time Sleep Detection and Lane Detection Model Using IoT and Deep Learning. | Gokul Sudheesh Kumar, Aparna Raj, Sujala D. Shetty |
| 2024 | CIA-Net: Cross-Modal Interaction and Depth Quality-Aware Network for RGB-D Salient Object Detection. | Xiaomei Kuang, Aiqing Zhu, Junbin Yuan, Qingzhen Xu |
| 2024 | Combining Data Generation and Active Learning for Low-Resource Question Answering. | Maximilian Kimmich, Andrea Bartezzaghi, Jasmina Bogojeska, Cristiano Malossi, Ngoc Thang Vu |