| 2025 | Time-Frequency Self-supervision and Multi-adversarial Domain Adaptation. | Guozhi Zhang, Ze Wang, Jin Hao, Xin Liu |
| 2025 | OfficeMind: Dynamic Agent Collaboration in Multi-Agent Systems for Office Resource Management. | Guo Yiming, Raymond S. T. Lee |
| 2025 | Explainable Artificial Intelligence for Intrusion Detection in Connected Vehicles. | Ramin Taheri, Alexander E. Gegov, Farzad Arabikhan, Alexandar Ichtev, Petia Georgieva |
| 2025 | Lie Algebra-Based Semantic Flow for Incompleteness Detection in Summarization. | Manikandan Ravikiran, Veeraraju Elluru, Karrtik Iyer, Prasanna Pendse, Shayan Mohanty |
| 2025 | Guardrails for LLMs: A Comprehensive Review and Case Study on Bias Mitigation for Responsible AI. | Jake Park, Mahsa Mohaghegh |
| 2025 | Data Profile Generation Framework for Data Utilization. | Issei Matsumoto, Tomokazu Matsui, Yukihisa Fujita, Hirohiko Suwa, Keiichi Yasumoto |
| 2025 | A Transfer Learning Approach for Fault Diagnosis Based on Frequency-Augmented Contrastive Learning. | Pengcheng Liao, Shuang Xing, Xiaofei Bai, Qun Chen |
| 2025 | TaskVAE: Task-Specific Variational Autoencoders for Exemplar Generation in Continual Learning for Human Activity Recognition. | Bonpagna Kann, Sandra Castellanos-Paez, Romain Rombourg, Philippe Lalanda |
| 2025 | STMMoE: A Spatio-Temporal Multimodal Mixture-of-Experts Model for Urban Traffic Prediction. | Kenan Kang, Matthew M. Y. Kuo, Weihua Li |
| 2025 | Visibility Improvement in Grad-CAM via High-Resolution Feature Maps with FeatUp. | Kentaro Kadowaki, Yoshitaka Kameya |
| 2025 | Surrogate Models of Spiking Neural Networks for Explainability. | Jane Jung, Matthew M. Y. Kuo, Nathan Allen |
| 2025 | Answer Generation for Large-Scale Official Trial Tests in Japanese University Entrance Exams Using RAG. | Taketsuna Ichiyanagi, Kanako Komiya, Tsunenori Ishioka, Masaki Nakagawa |
| 2025 | ClinAug: Closing the Performance Gap in Medical Error Detection with Low-Cost Augmentation and ClinicalBERT. | Junli Dai, Yuming Li, Farhaan Mirza |
| 2025 | An Explainable and Teachable Banking Virtual Assistant. | Paul Compton, Michael Bain, Byeong Kang, Charles Guan, Alicia Guan, Hendra Suryanto |
| 2024 | Optimizing Resource Distribution Towards Energy Justice in Resilient Smart Grids. | Libo Zhang, Yuly Wu, Weidong Li, Song Yang, Yang Chen, Kaiqi Zhao, Jiamou Liu |
| 2024 | A Novel Adaptive Multi-Channel Fusion Network Based on Deep Learning for Diabetes Diagnosis and Readmission Prediction. | Peng Xia, Ni Li, Xinying Wang, Yucong Duan, Zeyu Yang, Qi Qi |
| 2024 | A Variational Approach to Personalized Federated Learning and Its Improvement. | Huiwen Wu, Shuo Zhang |
| 2024 | Fast and Robust Differential Private Stochastic Gradient Descent with Preconditioner. | Huiwen Wu |
| 2024 | Aspect-Adaptive Knowledge-based Opinion Summarization. | Guan Wang, Weihua Li, Edmund M.-K. Lai, Quan Bai |
| 2024 | Revolutionizing Organic Product Supply Chains: Blockchain, RSA-Encrypted NFTs, and IPFS for Ethical and Transparent Supply Chains. | Trung Phan Hoang Tuan, Khoa Tran Dang, Nghiem Thanh Pham, Nam Tran Ba, Ngan Nguyen Thi Kim, Hieu Doan Minh, Loc Van Cao Phu |
| 2024 | Efficient Redundancy Elimination to Discovering Concise Prevalent Co-location Patterns. | Vanha Tran, Vanluan Nguyen |
| 2024 | Mining Prevalent Co-location Patterns with Multiple Minimum Prevalence Thresholds. | Vanha Tran, Thiloan Bui, Thaigiang Do, Hoangan Le |
| 2024 | The Integration of Federated Learning Techniques in Predictive Aircraft Maintenance Using Cloud Services. | Kim Tigchelaar, Seyed Sahand Mohammadi Ziabari, Jeroen Mulder |
| 2024 | Natural Language Integration for Multimodal Few-Shot Class-Incremental Learning: Image Classification Problem. | Pitchayagan Temniranrat, Natsuda Kaothanthong, Sanparith Marukatat |
| 2024 | Distributed Dataset Framework for Large Language Models Pre-training. | Nao Souma, Yui Obara, Yasuhiko Yokote, Yutaka Ishikawa, Kimio Kuramitsu |