| 2025 | Time-Optimal Route Planning for Non-linear Recharging Electric Vehicles on Road Networks. | Qinzhou Xiao, Yu Shao, Peng Cheng, Lei Chen, Wangze Ni, Wenjie Zhang, Heng Tao Shen, Xuemin Lin, Liping Wang |
| 2025 | RDSA: A Robust Deep Graph Clustering Framework via Dual Soft Assignment. | Yang Xiang, Li Fan, Tulika Saha, Xiaoying Pang, Yushan Pan, Haiyang Zhang, Chengtao Ji |
| 2025 | Breaking Size Barrier: Enhancing Reasoning for Large-Size Table Question Answering. | Xianjie Wu, Di Liang, Jian Yang, Xianfu Cheng, Linzheng Chai, Tongliang Li, Liqun Yang, Zhoujun Li |
| 2025 | MR-SQL: Multi-level Retrieval Enhances Inference for LLM in Text-to-SQL. | Zhenhe Wu, Zhongqiu Li, Mengxiang Li, Jie Zhang, Zhongjiang He, Jian Yang, Yu Zhao, Ruiyu Fang, Yongxiang Li, Zhoujun Li, Shuangyong Song |
| 2025 | Enhancing Multi-turn Dialogue Consistency with Localized-Generalized Persona Expansion. | Xiaohua Wu, Yanbing Chen, Xiaohui Tao, Peipei Wang, Lin Li |
| 2025 | An Immersing Oriented Role-Playing Framework with Duplex Relationship Modeling. | Yuntao Wen, Shen Gao, Chengrui Huang, Yifan Wang, Shuo Shang |
| 2025 | Gaussian Regularization in Neural Graph Learning. | Amzine Toushik Wasi, Taki Hasan Rafi, Dong-Kyu Chae |
| 2025 | DySA-TGN: Dynamic Self-adaptive Temporal Graph Neural Network for Multivariate Time Series Classification. | Xinmeng Wan, Zhiying Long |
| 2025 | TS-FourierLLM: Frozen Frequency-Domain Large Language Blocks for Enhancing Time-Series Modeling. | Pengfei Wang, Huanran Zheng, Wenjing Yue, Xiaoling Wang |
| 2025 | Breaking Free from Label Limitations: A Novel Unsupervised Attack Method for Graph Classification. | Yadong Wang, Zhiwei Zhang, Pengpeng Qiao, Ye Yuan, Hao Zhang, Guoren Wang |
| 2025 | Durable Community Search on Temporal Graphs. | Jianhua Wang, Jianye Yang, Wu Yao, Ziyi Ma, Zhaoquan Gu, Chengyuan Zhang |
| 2025 | Relation Discovery via Graph Neural Networks in the Era of Large Language Model. | Zhiqiang Wang, Yiping Yang, Junjie Ma |
| 2025 | Alignment-Uniformity Aware Feature Representation Learning for CTR Prediction. | Fangye Wang, Xiaoran Yan |
| 2025 | Comprehensive Interest Modeling and Relational Mining for Multi-modal Recommendation. | HaoYu Wang, HongBin Xia |
| 2025 | RBLU: A Benchmark to Evaluate the Reverse Inference Ability of Large Language Models. | Haowei Wang, Fan Wang, Sudi Xia, Liyi Liu, Xingshen Liu |
| 2025 | HiCHT: High-Performance Compact Hash Table. | Biao Wang, Pengcheng Wang, Jifan Shi, Weiguang Wang, Yun Xu |
| 2025 | A Universal Framework for Compressing Embeddings in CTR Prediction. | Kefan Wang, Hao Wang, Kenan Song, Wei Guo, Kai Cheng, Zhi Li, Yong Liu, Defu Lian, Enhong Chen |
| 2025 | NodeNAS: Node-Specific Graph Neural Architecture Search for Out-of-Distribution Generalization. | Qiyi Wang, Yinning Shao, Yunlong Ma, Min Liu |
| 2025 | Efficient Maximal Frequent Clique Enumeration in Multilayer Networks. | Han Wang, Renjie Sun, Yongye Li, Chen Chen, Xiaoyang Wang, Ying Zhang |
| 2025 | A Novel Parallel Graph Computing Model for Unsupervised Fraud Detection. | Jiahui Wang, Rui Sun, Fangshu Chen, Wei Zhang, Panpan Feng, Chengcheng Yu |
| 2025 | Noise-Free Laplacian Learning for Multiple Kernel Spectral Clustering. | Feng Wang, Shun Mao, Yuanfei Deng, Yixiu Qin |
| 2025 | Test-Time Training for Graph Neural Networks. | Yiqi Wang, Chaozhuo Li, Jianan Zhao, Rui Li |
| 2025 | SCM: Enhancing Large Language Model with Self-Controlled Memory Framework. | Bing Wang, Xinnian Liang, Jian Yang, Hui Huang, Zhenhe Wu, Shuangzhi Wu, Zejun Ma, Zhoujun Li |
| 2025 | MSAQE: A Large-Scale Dataset for Multi-view Scenic Areas Quality Evaluation. | Yajie Wang, Meiling Li, Gaozhi Liu, Xinpeng Zhang, Sun Yunlong, Zhenxing Qian |
| 2025 | Tackling Non-IID Graphs via Decoupled Structure and Feature in Federated Graph Learning. | Longwen Wang, Jianchun Liu, Xianjun Gao, Zhi Liu, Jinyang Huang |