| 2026 | SIR-Teach: Student-Implicit Reward Teaching. | Haochen You, Baojing Liu |
| 2026 | Delay-Aware Graph Neural Stochastic Differential Equations for Financial Time Series Modeling and Forecasting. | Mingjie You, Dawei Cheng, Meilin Zhang, Peng Zhu, Yuqi Liang |
| 2026 | Intelli-Planner: Towards Customized Urban Planning via Large Language Model Empowered Reinforcement Learning. | Xixian Yong, Peilin Sun, Zihe Wang, Xiao Zhou |
| 2026 | Mitigating Cumulative Privacy Risk in Continual Information Sharing: A Dynamic Stackelberg Game Approach. | Yuzi Yi, Weixuan Wang, Yehong Luo, Jinqiao Shi, Jiwei Huang |
| 2026 | DOS: Dual-Flow Orthogonal Semantic IDs for Recommendation in Meituan. | Junwei Yin, Senjie Kou, Changhao Li, Shuli Wang, Yinqiu Huang, Xue Wei, Yinhua Zhu, Haitao Wang, Xingxing Wang |
| 2026 | Personalized Learning Path Planning through Goal-Driven Learner State Modeling. | Joy Lim Jia Yin, Ye He, Jifan Yu, Xin Cong, Daniel Zhang-Li, Zhiyuan Liu, Huiqin Liu, Lei Hou, Juanzi Li, Bin Xu |
| 2026 | Credit and Power Co-evolution Modeling with Dynamic Graph Learning. | Wenhao Ying, Peng Zhu, Mingzhe Li, Ziyan Wang, Dawei Cheng |
| 2026 | SCORE: Story Coherence and Retrieval Enhancement for AI Narratives. | Qiang Yi, Yangfan He, Jianhui Wang, Xinyuan Song, Kuan Lu, Shiyao Qian, Xinhang Yuan, Yi Xin, Yijin Wang, Jingqun Tang, Yuchen Li, Hongyang He, Zhen Tian, Tianxiang Xu, Keqin Li, Menghao Huo, Jiaqi Chen, Miao Zhang, Tianyu Shi, Jianyuan Ni |
| 2026 | DualGR: Generative Retrieval with Long and Short-Term Interests Modeling. | Zhongchao Yi, Kai Feng, Xiaojian Ma, Yalong Wang, Yongqi Liu, Han Li, Zhengyang Zhou, Yang Wang |
| 2026 | PrivSniffer: Graph-based Contextual Privacy Leakage Detection for User-Generated Texts. | Hangyu Ye, Liyao Xiang, Naixuan Huang, Dongyue Yu, Lijun Zhang, Gang Wang |
| 2026 | Do You Trust Me? Cognitive-Affective Signatures of Trustworthiness in Large Language Models. | Gerard Christopher Yeo, Svetlana Churina, Kokil Jaidka |
| 2026 | Dual History Enhancement with Hybrid Hypergraph-Graph Networks for Temporal Knowledge Graph Reasoning. | Kailun Ye, Xiangjie Kong, Yuchao Zhang, Xuan Wang, Linan Zhu, Jiaxin Du, Guojiang Shen, Jianxin Li |
| 2026 | Accurate Trajectory Recovery in Underserved Areas via Location Inference from Web Crowdsourced Data. | Tangwei Ye, Liang Hu, Zhongyuan Lai, Qi Zhang, Yiming Wu, Jiaxing Miao, Yijun Yang, Kun Yi |
| 2026 | Gaussian Mixture Flow Matching with Domain Alignment for Multi-Domain Sequential Recommendation. | Xiaoxin Ye, Chengkai Huang, Hongtao Huang, Lina Yao |
| 2026 | Disentangled Graph LLM for Molecule Graph Editing under Distribution Shifts. | Yang Yao, Xin Wang, Yuan Meng, Zeyang Zhang, Hong Mei, Wenwu Zhu |
| 2026 | FedMHO: Heterogeneous One-Shot Federated Learning Towards Resource-Constrained Clients. | Dezhong Yao, Tongtong Liu, Yuexin Shi, Zhiqiang Xu |
| 2026 | FedSRD: Sparsify-Reconstruct-Decompose for Communication-Efficient Federated Large Language Models Fine-Tuning. | Guochen Yan, Luyuan Xie, Qingni Shen, Yuejian Fang, Zhonghai Wu |
| 2026 | Has the Two-Decade-Old Prophecy Come True? Artificial Bad Intelligence Triggered by Merely a Single-Bit Flip in Large Language Models. | Yu Yan, Siqi Lu, Yang Gao, Zhaoxuan Li, Ziming Zhao, Qingjun Yuan, Yongjuan Wang |
| 2026 | Spattack: Subgroup Poisoning Attacks on Federated Recommender Systems. | Bo Yan, Yurong Hao, Dingqi Liu, Huabin Sun, Pengpeng Qiao, Wei Yang Bryan Lim, Yang Cao, Chuan Shi |
| 2026 | TGSBM: Transformer-Guided Stochastic Block Model for Link Prediction. | Zhejian Yang, Songwei Zhao, Zilin Zhao, Hechang Chen |
| 2026 | Revisiting Graph-Level Anomaly Detection: From Partially to Fully Unsupervised Learning. | Zhenyu Yang, Ge Zhang, Shan Xue, Xiaoxiao Ma, Jian Yang, Hao Peng, Amin Beheshti, Jia Wu |
| 2026 | Towards Robust Detection of Chinese Toxic Variants via Dynamic Knowledge Graph-LLM Reasoning. | Shaochen Yang, Kefei Zhou, Wei Xu |
| 2026 | HAAF: Hierarchical Adaptation and Alignment of Foundation Models for Few-Shot Pathology Anomaly Detection. | Chunze Yang, Wenjie Zhao, Yue Tang, Junbo Lu, Jiusong Ge, Qidong Liu, Zeyu Gao, Chen Li |
| 2026 | Expectation-Maximization Driven Contrastive Disentanglement for Generalized Category Discovery. | Weiyi Yang, Richong Zhang, Junfan Chen, Jiawei Sheng, Lihong Wang |
| 2026 | CompactRAG: Reducing LLM Calls and Token Overhead in Multi-Hop Question Answering. | Hao Yang, Zhiyu Yang, Xupeng Zhang, Wei Wei, Yunjie Zhang, Lin Yang |