| 2025 | ADPFedGNN: Adaptive Decoupling Personalized Federated Graph Neural Network. | Zeli Guan, Yawen Li, Junping Du, Runqing Tang, Xiaolong Meng |
| 2025 | On Measuring Inconsistency in Graph Databases with Regular Path Constraints (Abstract Reprint). | John Grant, Francesco Parisi |
| 2025 | Flexible Generalized Low-Rank Regularizer for Tensor RPCA. | Zhiyang Gong, Jie Yu, Yutao Hu, Yulong Wang |
| 2025 | Base-Detail Feature Learning Framework for Visible-Infrared Person Re-Identification. | Zhihao Gong, Lian Wu, Yong Xu |
| 2025 | WDMIR: Wavelet-Driven Multimodal Intent Recognition. | Weiyin Gong, Kai Zhang, Yanghai Zhang, Qi Liu, Xinjie Sun, Junyu Lu, Linbo Zhu |
| 2025 | Unsupervised Feature Transformation via In-context Generation, Generator-critic LLM Agents, and Duet-play Teaming. | Nanxu Gong, Xinyuan Wang, Wangyang Ying, Haoyue Bai, Sixun Dong, Haifeng Chen, Yanjie Fu |
| 2025 | Privacy Preserving Solution of DCOPs by Local Search. | Shmuel Goldklang, Tal Grinshpoun, Tamir Tassa |
| 2025 | Responsibility Anticipation and Attribution in LTLf. | Giuseppe De Giacomo, Emiliano Lorini, Timothy Parker, Gianmarco Parretti |
| 2025 | Solving MDPs with LTLf+ and PPLTL+ Temporal Objectives. | Giuseppe De Giacomo, Yong Li, Sven Schewe, Christoph Weinhuber, Pian Yu |
| 2025 | Incentives for Early Arrival in Cooperative Games (Extended Abstract). | Yaoxin Ge, Yao Zhang, Dengji Zhao, Zhihao Gavin Tang, Hu Fu, Pinyan Lu |
| 2025 | Resolving Conflicting Evidence in Automated Fact-Checking: A Study on Retrieval-Augmented LLMs. | Ziyu Ge, Yuhao Wu, Daniel Wai Kit Chin, Roy Ka-Wei Lee, Rui Cao |
| 2025 | On Middle Grounds for Preference Statements. | Anne-Marie George, Ana Ozaki |
| 2025 | Airdrop Games. | Sotiris Georganas, Aggelos Kiayias, Paolo Penna |
| 2025 | L2M2: A Hierarchical Framework Integrating Large Language Model and Multi-agent Reinforcement Learning. | Minghong Geng, Shubham Pateria, Budhitama Subagdja, Lin Li, Xin Zhao, Ah-Hwee Tan |
| 2025 | LoD: Loss-difference OOD Detection by Intentionally Label-Noisifying Unlabeled Wild Data. | Chuanxing Geng, Qifei Li, Xinrui Wang, Dong Liang, Songcan Chen, Pong C. Yuen |
| 2025 | T2S: High-resolution Time Series Generation with Text-to-Series Diffusion Models. | Yunfeng Ge, Jiawei Li, Yiji Zhao, Haomin Wen, Zhao Li, Meikang Qiu, Hongyan Li, Ming Jin, Shirui Pan |
| 2025 | Polynomial-Time Relational Probabilistic Inference in Open Universes. | Luise Ge, Brendan Juba, Kris Nilsson |
| 2025 | Reliable and Diverse Hierarchical Adapter for Zero-shot Video Classification. | Wenxuan Ge, Peng Huang, Rui Yan, Hongyu Qu, Guosen Xie, Xiangbo Shu |
| 2025 | Non-expansive Fuzzy ALC. | Stefan Gebhart, Lutz Schrder, Paul Wild |
| 2025 | Detecting Illicit Massage Businesses by Leveraging Graph Machine Learning. | Vasuki Garg, Osman Y. zaltin, Maria E. Mayorga, Sherrie Bosisto |
| 2025 | SocialMP: Learning Social Aware Motion Patterns via Additive Fusion for Pedestrian Trajectory Prediction. | Tianci Gao, Yuzhen Zhang, Hang Guo, Pei Lv |
| 2025 | Hierarchy Knowledge Graph for Parameter-Efficient Entity Embedding. | Hepeng Gao, Funing Yang, Yongjian Yang, Ying Wang |
| 2025 | Decoupled Imbalanced Label Distribution Learning. | Yongbiao Gao, Xiangcheng Sun, Miaogen Ling, Chao Tan, Yi Zhai, Guohua Lv |
| 2025 | Noise-Resistant Label Reconstruction Feature Selection for Partial Multi-Label Learning. | Wanfu Gao, Hanlin Pan, Qingqi Han, Kunpeng Liu |
| 2025 | Dual-Agent Reinforcement Learning for Automated Feature Generation. | Wanfu Gao, Zengyao Man, Hanlin Pan, Kunpeng Liu |