| 2025 | FedFMD: Fairness-Driven Adaptive Aggregation in Federated Learning via Mahalanobis Distance. | Xiuting Weng, Lixing Yu, Shaojie Zhan, Ruizhi Pu, Xiaofei Liu |
| 2025 | CAGCL: A Community-Aware Graph Contrastive Learning Model for Social Bot Detection. | Kaihang Wei, Min Teng, Haotong Du, Songxin Wang, Jinhe Zhao, Chao Gao |
| 2025 | Exploration and Visualization of a Legal Knowledge Graph: A Human-Centered Approach. | Sabine Wehnert, Pramod Kumar Bontha, Kilian Lders, Huu Huong Giang Nguyen, Ernesto William De Luca |
| 2025 | Temporal-Aware User Behaviour Simulation with Large Language Models for Recommender Systems. | Xinye Wanyan, Danula Hettiachchi, Chenglong Ma, Ziqi Xu, Jeffrey Chan |
| 2025 | WDformer: A Wavelet-based Differential Transformer Model for Time Series Forecasting. | Xiaojian Wang, Chaoli Zhang, Zhonglong Zheng, Yunliang Jiang |
| 2025 | Channel-Independent Refiner for Multivariate Time Series Forecasting. | Jie Wang, Zhongguang Zheng, Chaoliang Zhong, Jun Sun |
| 2025 | Cequel: Cost-Effective Querying of Large Language Models for Text Clustering. | Hongtao Wang, Taiyan Zhang, Renchi Yang, Jianliang Xu |
| 2025 | Can Large Vision-Language Models Understand Multimodal Sarcasm? | Xinyu Wang, Yue Zhang, Liqiang Jing |
| 2025 | GenR1-Searcher: Curriculum Reinforcement Learning for Dynamic Retrieval and Document Generation. | Yu Wang, Yixuan Zhao, Renrui Duan, Jingyuan Li, Yuanzhuo Wang, Kun Zhang |
| 2025 | TimeRAG: Enhancing Complex Temporal Reasoning with Search Engine Augmentation. | Zhao Wang, Ziliang Zhao, Zhicheng Dou |
| 2025 | Strong Forgetting for ALCQ-Ontologies. | Sen Wang, Yizheng Zhao |
| 2025 | CLUE: Using Large Language Models for Judging Document Usefulness in Web Search Evaluation. | Xingzhu Wang, Erhan Zhang, Yiqun Chen, Jinghan Xuan, Yucheng Hou, Yitong Xu, Ying Nie, Shuaiqiang Wang, Dawei Yin, Jiaxin Mao |
| 2025 | EduCraft: A System for Generating Pedagogical Lecture Scripts from Long-Context Multimodal Presentations. | Yucheng Wang, Jifan Yu, Daniel Zhang-Li, Joy Lim Jia Yin, Shangqing Tu, Haoxuan Li, Zhiyuan Liu, Huiqin Liu, Lei Hou, Juanzi Li, Bin Xu |
| 2025 | Full-Atom Protein-Protein Interaction Prediction via Atomic Equivariant Attention Network. | Chunchen Wang, Cheng Yang, Wenchuan Yang, Le Song, Chuan Shi |
| 2025 | GegenNet: Spectral Convolutional Neural Networks for Link Sign Prediction in Signed Bipartite Graphs. | Hewen Wang, Renchi Yang, Xiaokui Xiao |
| 2025 | Spatio-Temporal Wavelet Enhanced Attention Mamba for Stock Price Forecasting. | Shurui Wang, Wenbo Yan, Ying Tan |
| 2025 | Latent Graph Structure Learning for Large-Scale Traffic Forecasting. | Meng Wang, Longgang Xiang, Chenhao Wu, Zejiao Wang, Xin Chen, Shaozu Xie, Ying Luo |
| 2025 | ACMCG: A Cost-effective Active Clustering with Minimal Constraint Graph. | Qiu-Yu Wang, Wen-Bo Xie, Tao Deng, Tian Zou, Xuan-Lin Zhu, Xun Fu, Xin Wang |
| 2025 | SPARK: Adaptive Low-Rank Knowledge Graph Modeling in Hybrid Geometric Spaces for Recommendation. | Binhao Wang, Yutian Xiao, Maolin Wang, Zhiqi Li, Tianshuo Wei, Ruocheng Guo, Xiangyu Zhao |
| 2025 | GCVPN: A Graph Convolutional Visual Prior-Transform Network for Actual Occluded Image Recognition. | Lei Wang, Nannan Wu, Huaming Wu, Wei Yu, Fan Zhang, Shuo Chen |
| 2025 | DAGP: Difficulty-Aware Graph Pruning for LLM-Based Multi-Agent System. | Siqi Wang, Guangmo Tong |
| 2025 | MGFSG-EE: A Method based on Multi-grained Fusion and Scene Graph Enhancement for Event Extraction. | Xiaoyu Wang, Tao Sun, Gengchen Liu, Zhi Yang, Jiahui Liu, Zimeng Xu |
| 2025 | Forecasting at Full Spectrum: Holistic Multi-Granular Traffic Modeling under High-Throughput Inference Regimes. | Zhaoyan Wang, Xiangchi Song, In-Young Ko |
| 2025 | Google Ads Content Moderation with RAG. | Yuan Wang, Wei Qiao, Jingxiang Li, Tiantian Fang, Eric Xiao, Megan Oftelie, Zhimin Wang, Yintao Liu, Jimin Li, Yi-Ting Chen, Zhongli Ding, Enming Luo |
| 2025 | Fairness in Language Models: A Tutorial. | Zichong Wang, Avash Palikhe, Zhipeng Yin, Wenbin Zhang |