| 2026 | Multimodal Reasoning for Shrimp Disease Diagnosis in Edge IoT Systems. | Tan Duy Le, Duc Dat Pham, Hong Quan Nguyen, Minh Tu Nguyen, Kha Tu Huynh |
| 2026 | Invariant Offline Constrained Reinforcement Learning for Circular Aquaculture Under Heterogeneous Environments - Case Study on AIoT Enabled Shrimp Farming in the Mekong Delta. | Tan Duy Le, Duc Dat Pham, Hong Quan Nguyen, Minh Tu Nguyen, Kha Tu Huynh |
| 2026 | FedCKD: A Knowledge Distillation Approach to Cross-Client Learning in Federated Learning with Label-Exclusive Datasets. | Minh-Chau Le, Hoang-Quynh Le, Duc-Trong Le, Tram Truong Huu |
| 2026 | Table-Aware Group Relative Policy Optimization: Reward Design for Large Vision-Language Models. | Jiyoon Lee, Hwangseon Park, Hayoung Oh |
| 2026 | CONAN: CONcept-Oriented ANomaly Detector for Interpretable Zero-Shot Detection. | Yoonji Lee, Eunju Lee, Junehyoung Kwon, Seunghoo Lee, Kahyun Kim, Seunguk Yu, Youngbin Kim |
| 2026 | Enhancing Graph Neural Networks with Adaptive Relation Learning via Variational Inference. | Juyeob Lee, Yunho Jeong, Serin Kim, Dayeon Han, Eunil Park |
| 2026 | Explainable Cognitive Task Classification in Pediatric EEG Using CPCC-Based Functional Connectivity Images. | Jinkwon Lee, Seohyeon Hong, Hayoung Oh |
| 2026 | Q-Matrix Completeness and Annotation Strategies: A Comparative Study of Knowledge Tracing Architectures. | Liu Cheng Lee, Yutaka Arakawa, Tsunenori Mine |
| 2026 | Mixing It Up: Exploring Mixer Networks for Irregular Multivariate Time Series Forecasting. | Christian Kltergens, Tim Dernedde, Lars Schmidt-Thieme, Vijaya Krishna Yalavarthi |
| 2026 | Physically Motivated Partial-Spectrum Denoising for Robust Hyperspectral Anomaly Detection. | Jungkwon Kim, Chi Zhang, Jihun Kim, Jeonghyeon Park, Kwangsun Yoo, Seok-Joo Byun |
| 2026 | Human Pose Estimation in Videos Using the Concept of A PID Controller. | Yeeun Kim, Jongmin Lee, Jangwon Lee |
| 2026 | C | Soyoung Kim, Dongjun Lee, Jaekwang Kim |
| 2026 | Adaptive Beam Search with Shannon Entropy for Data-Centric Reasoning in LLMs. | Yoonji Kim, Yujin Jeong, Jieun Kim, Sung-Bae Cho |
| 2026 | Graph Representation Learning with Laplacian Pyramid Residuals for Graph Classification. | Tae-Hwan Kim, Sung-Bae Cho |
| 2026 | Estimating Subgraph Importance with Structural Prior Domain Knowledge. | Changhyun Kim, Seunghwan An, Jong-June Jeon |
| 2026 | AIANO: Enhancing Information Retrieval with AI-Augmented Annotation. | Sameh Khattab, Marie Bauer, Lukas Heine, Till Rostalski, Jens Kleesiek, Julian Friedrich |
| 2026 | A Transductive Model-Agnostic Contrastive Learning Framework for Few-Shot Learning. | Tianyu Kang, Chengjie Zheng, Ping Chen, Wei Ding |
| 2026 | Improving Uncertainty Quantification and Knowledge-Intensive Routing via Query Understanding in Large Language Models. | Myeong-Cheol Kang, Jin Seong, Jong-Hun Shin, Soojong Lim, Oh-Woog Kwon |
| 2026 | RHA-Sketch: Mining Time-Decay Heavy Hitters in High-Speed Data Streams. | Yue Kan, Yang Du, He Huang, Yu-E Sun |
| 2026 | On the Factual Consistency of Text-Based Explainable Recommendation Models. | Ben Kabongo, Vincent Guigue |
| 2026 | Class-Conditioned Gaussian Mixture Modeling for Imbalanced Time Series Quantification. | Md. Shahriar Kabir, Mayesha Maliha R. Mithila, Anne H. H. Ngu, Mylne C. Q. Farias, Byron Gao |
| 2026 | RectiCast: Rectifying Distribution Shift in Cascaded Precipitation Nowcasting. | Fanbo Ju, Haiyuan Shi, Qingjian Ni |
| 2026 | FIGMA: Efficient Instruction-Guided Adaptation of Multimodal Foundation Models via Automated Data Augmentation. | Gayeon Jung, Moonki Hong, Jihoon Yang, Sungwon Jung |
| 2026 | PMME: Spatio-Temporal Few-Shot Learning via Pattern Matching with Memory Enhancement. | Ziyang Ji, Xiaobin Ren, Qiqi Wang, Kaiqi Zhao |
| 2026 | Boosting Black-Box Graph Reconstruction Attacks via Adjacency Relationship Recovery of Representative Nodes. | Xinyu Jiang, Qiao Yan |