| 2025 | Assessing Compliance in Digital Advertising: A Deep Dive into Acceptable Ads Standards. | Ahsan Zafar, Anupam Das |
| 2025 | Multi-Model Workflows for Advanced Visual Understanding. | Arun George Zachariah, Varun Praveen, Samuel Ochoa, Parthasarathy Sriram |
| 2025 | A Theory-Driven Approach to Inner Product Matrix Estimation for Incomplete Data: An Eigenvalue Perspective. | Fangchen Yu, Yicheng Zeng, Jianfeng Mao, Wenye Li |
| 2025 | Enhancing Zero-Shot Knowledge Graph Relation Prediction through Large Language Models and Contrastive Learning. | Hang Yu, Haoyi Yu |
| 2025 | Intelligent Agents with Adaptive Knowledge Fusion for Personalized Recommendation. | Yuanqing Yu, Zhefan Wang, Chumeng Jiang, Xinyi Li, Jiayin Wang, Min Zhang |
| 2025 | LLM-EvRep: Learning an LLM-Compatible Event Representation Using a Self-Supervised Framework. | Zongyou Yu, Qiang Qu, Qian Zhang, Nan Zhang, Xiaoming Chen |
| 2025 | HyGEN: Regularizing Negative Hyperedge Generation for Accurate Hyperedge Prediction. | Song Kyung Yu, Da Eun Lee, Yunyong Ko, Sang-Wook Kim |
| 2025 | BiasNavi: LLM-Empowered Data Bias Management. | Junliang Yu, Jay Thai Duong Huynh, Shaoyang Fan, Gianluca Demartini, Tong Chen, Hongzhi Yin, Shazia Sadiq |
| 2025 | SAMGPT: Text-free Graph Foundation Model for Multi-domain Pre-training and Cross-domain Adaptation. | Xingtong Yu, Zechuan Gong, Chang Zhou, Yuan Fang, Hui Zhang |
| 2025 | Graph Wave Networks. | Juwei Yue, Haikuo Li, Jiawei Sheng, Yihan Guo, Xinghua Zhang, Chuan Zhou, Tingwen Liu, Li Guo |
| 2025 | Empowering Federated Graph Rationale Learning with Latent Environments. | Linan Yue, Qi Liu, Yawen Li, Fangzhou Yao, Weibo Gao, Junping Du |
| 2025 | Heterogeneous Temporal Graph Neural Networks for Link Prediction. | Chongjian Yue, Lun Du, Mengyuan Chen |
| 2025 | Unbiased Learning to Rank with Query-Level Click Propensity Estimation: Beyond Pointwise Observation and Relevance. | Lulu Yu, Keping Bi, Jiafeng Guo, Shihao Liu, Dawei Yin, Xueqi Cheng |
| 2025 | Hyperbolic Diffusion Recommender Model. | Meng Yuan, Yutian Xiao, Wei Chen, Chou Zhao, Deqing Wang, Fuzhen Zhuang |
| 2025 | KG-UQ: Knowledge Graph-Based Uncertainty Quantification for Long Text in Large Language Models. | Yingqing Yuan, Linwei Tao, Haohui Lu, Matloob Khushi, Imran Razzak, Mark Dras, Jian Yang, Usman Naseem |
| 2025 | Behavioral Homophily in Social Media via Inverse Reinforcement Learning: A Reddit Case Study. | Lanqin Yuan, Philipp J. Schneider, Marian-Andrei Rizoiu |
| 2025 | USPTO-LLM: A Large Language Model-Assisted Information-enriched Chemical Reaction Dataset. | Shen Yuan, Shukai Gong, Hongteng Xu |
| 2025 | A Contextual-Aware Position Encoding for Sequential Recommendation. | Jun Yuan, Guohao Cai, Zhenhua Dong |
| 2025 | SimEdge: A Scalable Transitivity-Aware Graph-Theoretic Similarity Model for Capturing Edge-to-Edge Relationships. | Weiren Yu |
| 2025 | Joint Optimal Transport and Embedding for Network Alignment. | Qi Yu, Zhichen Zeng, Yuchen Yan, Lei Ying, R. Srikant, Hanghang Tong |
| 2025 | KOE: A Key Distribution-Oriented Performance Estimation Framework for Diverse Index Structures. | Yiheng You, Xin Wang, Jiake Ge, Hui Wang, Menglu Ma, Yongqi Yin |
| 2025 | Graph Condensation: Foundations, Methods and Prospects. | Hongzhi Yin, Xinyi Gao, Junliang Yu, Ruihong Qiu, Tong Chen, Quoc Viet Hung Nguyen, Zi Huang |
| 2025 | Graph with Sequence: Broad-Range Semantic Modeling for Fake News Detection. | Junwei Yin, Min Gao, Kai Shu, Wentao Li, Yinqiu Huang, Zongwei Wang |
| 2025 | FuXi-α: Scaling Recommendation Model with Feature Interaction Enhanced Transformer. | Yufei Ye, Wei Guo, Jin Yao Chin, Hao Wang, Hong Zhu, Xi Lin, Yuyang Ye, Yong Liu, Ruiming Tang, Defu Lian, Enhong Chen |
| 2025 | Towards Safe Machine Unlearning: A Paradigm that Mitigates Performance Degradation. | Shanshan Ye, Jie Lu, Guangquan Zhang |