| 2024 | Multi-scale Attention Convolutional Network and Reinforcement Learning for Flexible Job Shop Scheduling. | Yanqi Cui, Hongyun Huang, Yonglong Ni, Zuohua Ding |
| 2024 | AMPCL: Adaptive Meta-path Selection and Contrastive Learning for miRNA-Disease Prediction. | Wentao Cui, Chuan Hu, Chen Fang, Qingqing Long, Jiahao Zhang, Xuezhi Wang, Yuanchun Zhou |
| 2024 | Enforcing Specific Behaviours via Constrained DRL and Scenario-Based Programming. | Davide Corsi, Raz Yerushalmi, Guy Amir, Alessandro Farinelli, David Harel, Guy Katz |
| 2024 | Deep Mixtures of Variational Autoencoders Model for Representation Learning and Clustering Tasks. | Mashfiqul Huq Chowdhury, Yuichi Hirose, Stephen Marsland, Yuan Yao |
| 2024 | GATE: Guided Contrastive State Space for Multi-agent Reinforcement Learning. | Hao Chen, Bin Zhang, Guoliang Fan |
| 2024 | A Lightweight Multi-Scale Efficient Model for Breast Cancer Detection and Classification in Mammograms. | Zhiyu Chen, Xinhua Zeng, Kai Cheng, Yu Hong, Ying Liu, Run Fang, Chengsheng Liao, Jerome Plain |
| 2024 | Graph-Augmented Sparse Attention for Medical Image Segmentation. | Zhewei Chen, Qing Wang, Zhengzheng Tang, Md. Zakir Hossain |
| 2024 | HierFormer: A Multi-scale Attention Model for Ship Trajectory Prediction. | Jiamin Chen, Yongli Wang, Dongmei Liu |
| 2024 | Enhancing Angular Resolution via Directionality Encoding and Geometric Constraints in Brain Diffusion Tensor Imaging. | Sheng Chen, Zihao Tang, Mariano Cabezas, Xinyi Wang, Arkiev D'Souza, Michael Barnett, Fernando Calamante, Weidong Cai, Chenyu Wang |
| 2024 | Fast Preserving Local Distances and Topology in Auto-encoders. | Nutan Chen, Patrick van der Smagt, Botond Cseke |
| 2024 | Boosting Self-efficacy and Performance of Large Language Models via Verbal Efficacy Stimulations. | Rui Chen, Tailai Peng, Xinran Xie, Dekun Lin, Zhe Cui, Zheng Chen |
| 2024 | Unsupervised Robust Hypergraph Correlation Hashing for Multimedia Retrieval. | Yunfei Chen, Hongyu Lin, Jun Long, Zhan Yang |
| 2024 | CDIG: Customizable Dual Interaction Graph Module for News Recommendation. | Yalu Cheng, Haowen Wang, Shuo Zhang, Changchun Yang |
| 2024 | Agent Clustering and Information Sharing Underlying MADRQN for Traffic Light Cooperative Control. | Haoran Cheng, Bo Wang, Jie Liu, Tongchun Du |
| 2024 | LogMoE: Optimizing Mixture of Experts for Log Anomaly Detection via Knowledge Distillation. | Dehua Chen, Zhiwei Guo, Yu Shen, Mei Wang |
| 2024 | AA-RPN: Adaptive Anchor-Based Region Proposal Network for Remote Sensing Object Detection. | Shuishui Cheng, Qingxuan Shi, Nick Jin Sean Lim, Albert Bifet |
| 2024 | LoTraNet: Locality-Guided Transformer Network for Image Manipulation Localization. | Fuyuan Cheng, Yuxi Li, Xiangtao Lu, Guibo Luo, Yuesheng Zhu |
| 2024 | PVEIN: A Pretrained Vertex Embedding Infer Network for Open-Domain Question Answer Scoring. | Kai Chen, Yingping Deng, Qingcai Chen, Dongfeng Li |
| 2024 | Mixed Text Recognition with Efficient Parameter Fine-Tuning and Transformer. | Da Chang, Yu Li |
| 2024 | Automated Landslide Detection: A Comparative Study of Change Detection and Semantic Segmentation Techniques. | Samuel Cerrudo, Daniel De Castro, Prospero C. Naval Jr. |
| 2024 | FedAKD: Heterogeneous Graph Federated Learning Framework Based on Data Augmentation and Knowledge Distillation. | Tengfei Cao, Yiming Zhang |
| 2024 | Enhanced Multimodal Aspect-Based Sentiment Analysis by LLM-Generated Rationales. | Jun Cao, Jiyi Li, Ziwei Yang, Renjie Zhou |
| 2024 | TrajAngleNet: Transformer-Based Trajectory Prediction Through Multi-task Learning with Angle Prediction. | Vibha Bharilya, Neetesh Kumar |
| 2024 | Assessing and Enhancing the Robustness of Large Language Models with Task Structure Variations for Logical Reasoning. | Qiming Bao, Gal Gendron, Alex Yuxuan Peng, Wanjun Zhong, Neset Tan, Yang Chen, Michael Witbrock, Jiamou Liu |
| 2024 | Retinexmamba: Retinex-Based Mamba for Low-Light Image Enhancement. | Jiesong Bai, Yuhao Yin, Qiyuan He, Yuanxian Li, Xiaofeng Zhang |