| 2025 | Dynamics of Fencer Rating Progression. | Ethan Xu |
| 2025 | Evolving Risks in US Healthcare Breaches. | Li Xu |
| 2025 | An Analysis of Gender-Based Differential Item Functioning in the PISA 2018 and 2022 Cycles. | Isabel Xiong |
| 2025 | Towards Lakehouse Federation in Computing Power Networks. | Junchang Xin, Mingcan Wang, Xiaoyuan Wang, Kaifu Long, Zhiqiong Wang |
| 2025 | Application of Object Segmentation Model in Contact Angle Measurement for Hydrophobicity Determination. | Joann Xie, Charita S. Potluri, Farah Chen, Rand Kingsford, Ashley Tamura, Shreena Dayal, Michael J. Sailor |
| 2025 | Bi-NAS: Towards Effective and Personalized Explanation for Recommender Systems via Bi-Level Neural Architecture Search. | Longfeng Wu, Yao Zhou, Tong Zeng, Zhimin Peng, Bhanu Pratap Singh Rawat, Lecheng Zheng, Giovanni Seni, Dawei Zhou |
| 2025 | Machine Learning-Based Classification of Transcriptional Gene Groups for Cancer Prognosis. | Annie Wu |
| 2025 | Mitigating Copyright Violations in LLMs Via In-Context Role-Playing and Instructional Framing. | Linxi Wu |
| 2025 | Speciated Unsupervised Skill Discovery. | Ryan Wickman, Xiaofei Zhang |
| 2025 | Cellular Traffic Prediction Based on Two-Stage Cross-City Transfer Learning. | Hao Wen, Junhui Zhan, Jiahao Ling, Shimin Gong, Bo Gu |
| 2025 | Incorporating Dynamic Logic Alignment into Knowledge Graph Reasoning Based on Reinforcement Learning. | Yiyang Weng, Tong Li, Zifang Tang, Yiting Wang, Zhen Yang |
| 2025 | SeedAIchemy: LLM-Driven Seed Corpus Generation for Fuzzing. | Aidan Wen, Norah A. Alzahrani, Jingzhi Jiang, Andrew Joe, Karen Shieh, Andy Zhang, Basel Alomair, David A. Wagner |
| 2025 | Infusing Structural Knowledge for Language Generation with Relational Graph Diffusion. | Sichao Wang, Wenxue Zhang, Jinxuan Zhu, Zhenyu Wang, Yunqi Xia |
| 2025 | FAIM-RL: A Reinforcement Learning Approach for Fairness-Aware Adaptive Influence Maximization. | Fangzheng Wang, Yi Zhou, Yanhao Wang, Panagiotis Karras, Yuchen Li |
| 2025 | Reexamining Representativeness of TTD for Urban Traffic Carbon Emissions Based on Spatiotemporal Comparative Analysis with CVTD. | Zifan Wang, Yi Zuo |
| 2025 | Grounded Chest X-Ray Reasoning: Leveraging Visual Tools to Improve Medical Multimodal LLMs. | Duan D. Wang, Peng Xia, Huaxiu Yao |
| 2025 | High Rank Matrix Completion with Adaptive Neighbor Graphs. | Shiqin Wang, Kun Xie, Jiazheng Tian, Jigang Wen, Gaogang Xie |
| 2025 | One-Pass Multi-Label Learning with Missing Features and Labels. | Jun-Tong Wang, Cun-Yuan Xing, Wei Gao |
| 2025 | A Federated Meta-Learning Approach for Transactional Risk Behavior Identification. | Zhaoyang Wang, Junhua Wu, Xiaoshan Cui, Guangshun Li |
| 2025 | Dimension Reduction Enhanced Boosting for Imbalanced Data Classification. | Eric C. Wang, Jason Parton |
| 2025 | Explainability-Guided Defense: Attribution-Aware Model Refinement Against Adversarial Data Attacks. | Longwei Wang, Mohammad Navid Nayyem, Abdullah Al Rakin, KC Santosh, Chaowei Zhang, Yang Zhou |
| 2025 | Toward Generalizable, General-Purpose, and Multimodal Knowledge Editing for Foundation Models. | Haoyu Wang, Tianci Liu, Fenglong Ma, Jing Gao |
| 2025 | Class-Aware Spatio-Temporal Graph Contrastive Learning for Multivariate Time Series Data. | Yining Wang, Ke Li, Fujun Han, Shuhan Liu, Xuan Hou, Dejun Teng, Zhaohui Peng |
| 2025 | Dynamic, Efficient, and Generalizable Multi-Agent Communication for Large Language Models. | Song Wang, Jundong Li |
| 2025 | Benchmarking LLMS for Threat Level Determination. | Han Wang, Murathan Kurfali, Alfonso Iacovazzi |