| 2026 | EMOGEN: EMOtion Recognition and Guided Generation in Conversations using a Parameterised GENerative Framework. | Rishabh Agrawal, Tanmay Khule, Apurva Narayan |
| 2026 | Partial Evaluation for Pandas in Python. | Xavier Sebastian Adettu, Tian Zhao |
| 2025 | Clogging DoS Resilient Bootstrapping of Efficient V2V Validation. | Zhichao Zhou, Hongyu Jin, Panos Papadimitratos |
| 2025 | Online Learning from Capricious Data streams with Flexible Hoeffding Tree. | Ruirui Zhao, Jianbin Sun, Joo Gama, Jiang Jiang |
| 2025 | PULLM: A Multimodal Framework for Enhanced 3D Point Cloud Upsampling Using Large Language Models. | Zhiyong Zhang, Ruyu Liu, Xiufeng Liu, Yunrui Zhu, Yanyan Yang, Chaochao Wang, Jianhua Zhang |
| 2025 | Mapillary Street Vegetation Scoring: End-to-End Process. | Negin Zarbakhsh, Srikanta Sannigrahi, Anh-Vu Vo, Gavin McArdle |
| 2025 | An Unsupervised Approach for Aspect-Based Sentiment Classification Using Attentional Neural Models. | Luca Zampierin, Flavius Frasincar |
| 2025 | AI-Enhanced Learning: Comparing Outcomes in Introductory and Advanced Programming Courses. | Sine Zambach |
| 2025 | SeismicSense: Phase Picking of Seismic Events with Embedded Machine Learning. | Tayyaba Zainab, Laura Harms, Jens Karstens, Olaf Landsiedel |
| 2025 | Speed-up of Data Analysis with Kernel Trick in Encrypted Domain. | Joon Soo Yoo, Baek Kyung Song, Tae Min Ahn, Ji Won Heo, Ji Won Yoon |
| 2025 | Robustly Optimized Multimedia Local and Global Context Analysis at Multi-modal Balance. | Junho Yoon, Kiho Lim, Chang Choi |
| 2025 | C2|Q>: Unifying Classical and Quantum Programming. | Boshuai Ye |
| 2025 | Predicting Battery Levels of Sensor Nodes Using Reinforcement Learning in Harsh Underground Mining Environments. | Manish Yadav, Mohamed Elmahallawy, Sanjay Madria, Samuel Frimpong |
| 2025 | Leveraging Contrastive Learning and Spatial Encoding for Prediction in Traffic Networks with Expanding Infrastructure. | You Xu, Marwan Hassani |
| 2025 | LLM-guided Predicate Discovery and Data Augmentation for Learning Likely Program Invariants. | Yuan Xia, Aabha Shailesh Pingle, Deepayan Sur, Jyotirmoy Deshmukh, Mukund Raghothaman, Srivatsan Ravi |
| 2025 | Unsupervised Training Framework for 3D Point Cloud Object Detection Model. | Min-Jyun Wu, Hsiang-Jui Lin, Shih-Hao Hung, Chi-Sheng Shih |
| 2025 | Deep Reinforcement Learning for Context-Aware Online Service Function Chain Deployment and Migration over 6G Networks. | Solomon Fikadie Wassie, Antonio Di Maio, Torsten Braun |
| 2025 | Lightweight Decentralized Neural Network-Based Strategies for Multi-Robot Patrolling. | James C. Ward, Ryan McConville, Edmund R. Hunt |
| 2025 | RAGCol: RAG-Based Automatic Video Colorization Through Text Caption Generation and Knowledge Enrichment. | Rory Ward, Dhairya Dalal, Paul Buitelaar, John G. Breslin |
| 2025 | HCN-TA: Hierarchical Capsule Network with Temporal Attention for a Generalizable Approach to Audio Deepfake Detection. | Taiba Majid Wani, Madleen Uecker, Farooq Ahmad Wani, Irene Amerini |
| 2025 | MAPLe: A B+-tree with Multi-Access Parallel Leaves to Improve Access Concurrency and Locality. | Luna Wang, Shuaihua Zhao, Song Jiang |
| 2025 | Learning Visual Servoing for Nonholonomic Mobile Robots with Uncalibrated Cameras. | Jen-Wei Wang, Daniel Nikovski |
| 2025 | Student Research Abstract: Evaluating Dialogue Summarization Using LLMs. | Alison Wang |
| 2025 | Features Leverage in Graph Models for Mineral Prospectivity Mapping. | Thi Hai Yen Vu, Thi-Bich-Hanh Dao, Vincent Nguyen, Christel Vrain, Hugo Breuillard |
| 2025 | Finger Vein Spoof GANs: Issues in Presentation Attack Detector Training. | Andreas Vorderleitner, Andreas Uhl |