| 2025 | Fine-Tuning LLMs for Emotion Recognition Through Hierarchical Classification: Overcoming High-Cardinality Class Imbalance. | M. Luqman Jamil, Sebastio Pais, Mar vila |
| 2025 | Thought-for-Food: Reasoning Chain Induced Food Visual Question Answering. | Riddhi Jain, Manasi Patwardhan, Parijat Deshpande, Venkataramana Runkana |
| 2025 | Predicting Vertical Cloud Type Structure with GOESABI Multi-Channel Passive Satellite Imagery Data Using Deep Learning and Foundation Models. | Sidh Jaddu, Jordan A. Caraballo-Vega, Jie Gong |
| 2025 | Pretraining a Generative AI Model on CBT Sessions to Emulate Human Therapist Strategies: A Study Using the APA Psyctherapy Database. | Fabiha Islam, Kun Zhao, Bart Knijnenburg, Mei-Hsiu Chen, Alex D. Leow, Purushothaman Muthukanagaraj, Liang Zhan, Chao Shi |
| 2025 | Intra-Mode Encoding Complexity Reduction: Vision Transformer-Driven CU Partitioning for VVC. | Md. Zahirul Islam, Noman Amin, Manoranjan Paul, Zhenni Pan, Quazi Mamun |
| 2025 | Graph Perspective on Multi-Modal Streams Analysis and Prediction. | Wenhao Hu, Junyi Zhang, Zhao Jin, Zichen Xu, Chengbin Hu, Pingye Wang |
| 2025 | Hierarchy-Aware Generative Modeling for Enhanced Label Differential Privacy. | Yichen Hu, Changsheng Wan |
| 2025 | Benchmarking Graph Construction by Large Language Models for Coherence-Driven Inference. | Steve Huntsman, Jewell Thomas |
| 2025 | Coherence-Driven Inference for Cybersecurity. | Steve Huntsman |
| 2025 | Automatic Coherence-Driven Inference on Arguments. | Steve Huntsman |
| 2025 | Adaptive Graph Learning with Transformer for Multi-Reservoir Inflow Prediction. | Pengfei Hu, Ming Fan, Xiaoxue Han, Chang Lu, Wei Zhang, Hyun Kang, Yue Ning, Dan Lu |
| 2025 | Quantitative Phosphocreatine Mapping with a Transformer-Based Regression Network. | Qi Huang, Haoteng Tang, Han Tang, Caleb Berberet, Liya Dai, Thomas Schindler, Linda Peterson, Yang Yang, Yan Yan, Pamela Woodard, Jie Zheng |
| 2025 | Deploying Reasoning LLMS for Sentiment Analysis: Architecture Trade-Offs on Consumer Hardware. | Donghao Huang, Nicole Teo, Aparna Chekuru, Erin Deutschman, Zhaoxia Wang |
| 2025 | MREF: Metric-Based Instance Re-Weighting for Rationale Enhancement. | Yibo Huang, Zixin Kuang, Meng-Fen Chiang, Wang-Chien Lee |
| 2025 | Combining LLM-Generated Knowledge Graphs with RAG for Financial Sentiment Extraction. | Zihao Huang, Kelvin Du, Xulang Zhang, Rui Mao, Erik Cambria |
| 2025 | Robustness of Truss Decomposition and Implications for GNN-Based Edge Classification. | Jakir Hossain, Sucheta Soundarajan, Ahmet Erdem Sariyce |
| 2025 | Data-Driven IDS Rule Generation for Detecting Malicious Traffic. | Mohammad Akidul Hoque, Anuradha Choudhury, Jaime C. Acosta, Mahmud Shahriar Hossain, Monika Akbar |
| 2025 | Uncertainty-Aware Solar Flare Regression. | Jinsu Hong, Chetraj Pandey, Berkay Aydin |
| 2025 | An Efficient Self-Supervised Framework for Long-Sequence EEG Modeling. | Jiazhen Hong, Geoffrey Mackellar, Soheila Ghane |
| 2025 | Multimodal Structured Data to LLM Adaptation System. | Barbara Hoffmann, Marcos Martnez Galindo, Ruben Mayer, Vanessa Lpez Garcia, Thanh Lam Hoang |
| 2025 | Adversarial Alignment and Disentanglement for Cross-Domain CTR Prediction with Domain-Encompassing Features. | Junyou He, Lixi Deng, Huichao Guo, Ye Tang, Yong Li, Sulong Xu |
| 2025 | Enhancing Radiographic Disease Detection with Metachex, a Context-Aware Multimodal Model. | Nathan He, Cody Chen |
| 2025 | XCheck: A Consistency-Based Validation Framework for Englacial Layers Annotations. | Muhammad Behroze Hassan, Bayu Adhi Tama, Sanjay Purushotham, Vandana P. Janeja |
| 2025 | Addressing Algorithmic Bias in Diabetes Care: A Multi-Modal Machine Learning Framework for Equitable Readmission Prediction. | Md. Mehedi Hasan, Md. Mujibur Rahman, Quazi Mamun, Jun Wu, Mohammad Rana |
| 2025 | HadaSmileNet: Hadamard Fusion of Handcrafted and Deep-Learning Features for Enhancing Facial Emotion Recognition of Genuine Smiles. | Mohammad Junayed Hasan, Nabeel Mohammed, Shafin Rahman, Philipp Koehn |