| 2024 | Identify Disease-Associated MiRNA-miRNA Pairs Through Deep Tensor Factorization and Semi-supervised Learning. | Ruochen Wang, Jiacheng Pan, Shuting Xu |
| 2024 | Combining Contrastive Learning and Sequence Learning for Automated Essay Scoring. | Xiaoyi Wang, Jie Liu, Jianshe Zhou, Wang Jiong |
| 2024 | Demand-Responsive Transport Dynamic Scheduling Optimization Based on Multi-agent Reinforcement Learning Under Mixed Demand. | Jianrui Wang, Yi Li, Qiyu Sun, Yang Tang |
| 2024 | NAS-Bench-Compre: A Comprehensive Neural Architecture Search Benchmark with Customizable Components. | Di Wang, Kun Jing, Jungang Xu |
| 2024 | Reinforced Multi-teacher Knowledge Distillation for Unsupervised Sentence Representation. | Xintao Wang, Rize Jin, Shibo Qi |
| 2024 | Unconventional Face Adversarial Attack. | Ruoxi Wang, Baojin Huang, Zhen Han, Dengshi Li |
| 2024 | LGCRS: LLM-Guided Representation-Enhancing for Conversational Recommender System. | Ruobing Wang, Xin He, Hengrui Gu, Xin Wang |
| 2024 | Blood Cell Detection and Self-Attention-Based Mixed Attention Mechanism. | Jixuan Wang, Qian Huang, Yulin Chen, Linyi Qian |
| 2024 | Improve Shallow Decoder Based Transformer with Structured Expert Prediction. | Zongbing Wang, Jingru Han |
| 2024 | Towards Persona-Oriented LLM-Generated Text Detection: Benchmark Dataset and Method. | Siqi Wang, Shiyao Cui, Chuang Zhang, Zefeng Zhang, Jing Wang, Tingwen Liu |
| 2024 | Transformer Tracker Based on Multi-level Residual Perception Structure. | Zhenhai Wang, Hui Chen, Lutao Yuan, Ying Ren, Hongyu Tian |
| 2024 | KELTP: Keyword-Enhanced Learned Token Pruning for Knowledge-Grounded Dialogue. | Xinrui Wang |
| 2024 | Artificial Intelligence Methods for Evaluating Mitochondrial Dysfunction: Exploring Various Chemical Notations Suitable for Neural Language Processing Models. | Edoardo Luca Vigan, Erika Colombo, Davide Ballabio, Alessandra Roncaglioni |
| 2024 | Modular Reinforcement Learning In Long-Horizon Manipulation Tasks. | Michal Vavrecka, Jons Krz, Nikita Sokovnin, Gabriela Sejnova |
| 2024 | Challenges, Methods, Data-A Survey of Machine Learning in Water Distribution Networks. | Valerie Vaquet, Fabian Hinder, Andr Artelt, Inaam Ashraf, Janine Strotherm, Jonas Vaquet, Johannes Brinkrolf, Barbara Hammer |
| 2024 | Loci-Segmented: Improving Scene Segmentation Learning. | Manuel Traub, Frederic Becker, Adrian Sauter, Sebastian Otte, Martin V. Butz |
| 2024 | Learning Object Permanence from Videos via Latent Imaginations. | Manuel Traub, Frederic Becker, Sebastian Otte, Martin V. Butz |
| 2024 | Onion Echo State Networks - A Preliminary Analysis of Dynamics. | Domenico Tortorella, Alessio Micheli |
| 2024 | Key Substructure-Driven Backdoor Attacks on Graph Neural Networks. | Haibin Tong, Huifang Ma, Hui Shen, Zhixin Li, Liang Chang |
| 2024 | Robustness of Biologically Grounded Neural Networks Against Image Perturbations. | Michael Teichmann, Ren Larisch, Fred H. Hamker |
| 2024 | CAW: Confidence-Based Adaptive Weighted Model for Multi-modal Entity Linking. | Yongtao Tang, Shasha Li, Jie Yu, Jun Ma |
| 2024 | Topology of Neural Processes. | Jinyang Tai, Yike Guo |
| 2024 | Combined Global and Local Information Diffusion of Neural Processes. | Jinyang Tai, Yike Guo |
| 2024 | Temporal Evaluation of Uncertainty Quantification Under Distribution Shift. | Emma Svensson, Hannah Rosa Friesacher, Adam Arany, Lewis H. Mervin, Ola Engkvist |
| 2024 | Obtaining Optimal Spiking Neural Network in Sequence Learning via CRNN-SNN Conversion. | Jiahao Su, Kang You, Zekai Xu, Weizhi Xu, Zhezhi He |