| 2026 | CauMed: Causal Graph-Based Reasoning for Medical QA. | Pann Narknoi, Cong-Tinh Dao, Nguyen-Minh-Thao Phan, Wen-Chih Peng |
| 2026 | A Data-Driven Approach for Discovering Pure Clusters in Complex Multi-source Terrestrial Soundscapes. | Thomas Napier, Euijoon Ahn, Ickjai Lee |
| 2026 | Private Feature Delivery for Fraud Detection Using Federated Representation Learning. | Delton Myalil, Manoj Apte, M. A. Rajan |
| 2026 | Surgical Tool Maneuvering via a Vision-Guided Improved Levenberg-Marquardt IK Model in Visually Unstructured Environments. | Ramkumar Muthukrishnan, Somasundar Kannan, Mahammad Shareef Mekala, Yafan Zhao, Amir H. Gandomi, Radhakrishna Prabhu |
| 2026 | SOAR: Selective Oversampling Using Anomaly-Based Decile Refinement for Multiclass Imbalanced Problems. | Supanigarn Munkhong, Krung Sinapiromsaran, Natthawut Kertkeidkachorn |
| 2026 | Learn to Shade: Deep Assumption-Free Modeling for First-Price Auctions. | Abhishek Mungoli, Raja Subramaniam, Vishwath Parthasarathy, Jayanta Pal, Narayan Bhamidipati |
| 2026 | Automated Multiple-Choice Question Generation: A Survey from a KDDM Perspective. | Nan Mu, Tsunenori Mine |
| 2026 | Subgraph Plug-in Boosts up Graph Neural Networks. | Hyung-Jun Moon, Sung-Bae Cho |
| 2026 | ModTGCN: Modularity-Aware Graph Neural Networks for Text Classification. | Rajarshi Misra, Aditya Sharma, Vinti Agarwal, Hari Om Aggrawal |
| 2026 | Recommendation Systems Features: A Comprehensive Review. | Amna Meddeb, Lotfi Ben Romdhane |
| 2026 | CAMO: Causality-Guided Adversarial Multimodal DOmain Generalization for Crisis Classification. | Pingchuan Ma, Chengshuai Zhao, Bohan Jiang, Saketh Vishnubhatla, Ujun Jeong, Alimohammad Beigi, Adrienne Raglin, Huan Liu |
| 2026 | Robust Volume Ratio: A Metric for Fine-Grained Evaluation of Tree Ensemble Robustness. | Saori Matsunaga, Genta Yoshimura |
| 2026 | Bridging Statistical Seasonality and Diffusion-Based Deep Learning for Multivariate Time Series Forecasting. | Sarinna Maplook, Koji Eguchi |
| 2026 | Spatio-Temporal Context-Aware Web Service QoS Prediction via Contrastive Learning. | Xiang Mao, Yu Zhang, Yiwen Zhang, Xiaoyao Zheng |
| 2026 | Multi-RAG: A Multimodal Retrieval-Augmented Generation System for Adaptive Video Understanding. | Mingyang Mao, Mariela M. Perez-Cabarcas, Utteja Kallakuri, Nicholas R. Waytowich, Xiaomin Lin, Tinoosh Mohsenin |
| 2026 | Adaptive Multi-platform Multi-behavior Contrastive Learning for Enhanced E-commerce Recommendation. | Bo Ma, LuYao Liu, Xin Zhang, XiaoFan Gui, Hang Li |
| 2026 | SEEDS: Curriculum-Driven Adaptive Regression Contrastive Learning for Robust Evidence-Based Depression Severity Classification. | Tu-Phuong Mai, Duy-Cat Can, Hoang-Quynh Le |
| 2026 | Two Heads Are Better Than One: Model-Weight and Latent-Space Analysis for Federated Learning on Non-Iid Data Against Model Poisoning Attacks. | Xingyu Lyu, Ning Wang, Shixiong Li, Yidan Hu, Yimin Chen |
| 2026 | HEIR-Nets: Hierarchical Ensemble with Inheritance-Based Refinement Networks for Sperm Target Detection with Noisy Labels. | Huiliang Lv, Yang Zhao, Xuan Yang, Jihong Pei, Jiahui Wu |
| 2026 | PathoLLM: Accurate Endometrial Cancer Subtyping Using Clinically-Aligned Language Models. | Yifan Lu, Qian Wang, Qinpei Zhao, Xiaojun Chen, Weijie Wang, Weixiong Rao |
| 2026 | How Much Can We Forget? On Boosting Removal Capacity in Machine Unlearning. | Xiangni Lu, Lin Li, Dong Zhang, Kaize Shi, Xiaohui Tao |
| 2026 | S | Mingzhe Lu, Yanbing Liu, Qihao Wang, Jiarui Zhang, Jiayue Wu, Yue Hu, Yunpeng Li, Yangyan Xu |
| 2026 | Transferring Physical Priors into Remote Sensing Segmentation via Large Language Models. | Yuxi Lu, Kunqi Li, Zhidong Li, Xiaohan Su, Biao Wu, Chenya Huang, Bin Liang |
| 2026 | Semantic Steer Chain: Efficient and Precise Black-Box Jailbreaking Through Adaptive Approximation. | Jiesen Long, Yisheng Zheng, Jiayun Wu, Guojiao Zhao |
| 2026 | Empowering Contactless Sleep Health Monitoring with Multi-task Learning. | Zeyu Long, Beihong Jin, Siheng Li, Zhi Wang, Xiaoyong Ren, Haiqin Liu |