| 2026 | SL-Cache: Selective Learning Cache Eviction with Priority Retention for Hot Objects. | Yu-Ang Zhang, Yigui Yuan, Peiquan Jin, Hongtao Wang, Xiaoliang Wang, Shouhong Wan |
| 2026 | Contrastive Graph View Alignment for Drug-Target Affinity Prediction. | Yuan Zhang, Jiajie Xing, Juan Wang |
| 2026 | Graph Clustering with Scalable Graph Filters and View-Specific Semantic Fusion. | Wenxin Zhang, Xi Xuan, Renda Han, Desheng Wu, Cuicui Luo, Ljupco Kocarev |
| 2026 | A Cross-Modal Hierarchical Contrastive Learning Framework for Protein-Protein Interaction Prediction. | Ran Zhang, Yihong Wang, Xuezhi Wang, Qingqing Long, Jianghua Zhao, Meng Xiao |
| 2026 | SecKQL-Agent: A Real-World APT29 Events Benchmark and Framework for Reliable Text-to-KQL in Security Analytics. | Huan Zhang, Haiyan Wang, Shaofang Long, Hao Tan, Ziyu Wang, Yan Jia, Zhaoquan Gu |
| 2026 | LACHT: An LLM-Aligned Cross-Hyperedge Tracer for Personalized Learning Path Planning in Programming. | Junfeng Zhang, Jiuyang Tang, Yaqing Sheng, Jinzhi Liao, Xiang Zhao |
| 2026 | Mining Large Independent Sets on Massive Graphs. | Yu Zhang, Witold Pedrycz, Chanjuan Liu, Enqiang Zhu |
| 2026 | MSRTUL: A Multiscale Semantics-Relationships Fusion Representation Model for Trajectory-User Linking. | Jing Zhang, Yuqi Luo, Jiajia Li, Rui Zhu, Anzhen Zhang, Yiping Teng, Siqi Li |
| 2026 | A Cognitive Distribution and Behavior-Consistent Framework for Black-Box Attacks on Recommender Systems. | Hongyue Zhang, Mingming Li, Dongqin Liu, Hui Wang, Yaning Zhang, Xi Zhou, Honglei Lv, Jiao Dai, Jizhong Han |
| 2026 | Aspect-Oriented Prompt with Adaptive Cross-Modal Fusion for Multimodal Sentiment Analysis. | Jianwei Zhang, Yutian Li, Yu Hu, Xudong Mao, Fuqiang Yu, Lap-Kei Lee, Fu Lee Wang, Zhenguo Yang |
| 2026 | CTMamba: Cross-Temporal Fusion in a Hybrid Transformer-Mamba Architecture for Traffic Flow Prediction. | Yongqin Zhang, Huazhong Liu, Jihong Ding |
| 2026 | The Power of Weighting: Multi-teacher Distillation for Communication-Efficient Federated Learning. | Ruojia Zhang, Weijia Feng, Tongtong Su, Wentao Wang, Fengtao Sun, Chenyang Wang, Chongke Bi |
| 2026 | AURORA: An Adaptive Multi-granularity Graph Learning Framework for Drug Repositioning. | Yidan Zhang, Lei Duan, Huiru Zheng, Jiaxuan Xu |
| 2026 | TIG-Diff: Temporal-Integrated Graph Diffusion for Ranking-Consistent Implicit Feedback Denoising in Recommendation. | Lingyan Zhang, Shuwen Daizhou, Wanyu Ling, Yiman Xie, An Huang |
| 2026 | GNN4LMR: Profile Distillation Enhanced High-Order Interactions for LLM-Based Recommendation. | Lingyan Zhang, Shuwen Daizhou, Wanyu Ling, Yiman Xie, An Huang |
| 2026 | Can Vision-Based Pretrained Models Help with Time Series Similarity Search Under Elastic Distances? | Haowen Zhang |
| 2026 | DBEE: Dual-Path Biomedical Event Extraction with Large Language Model. | Jianjun Zeng, Jiacheng Wang, Weiyan Zhang, Yunpeng Wang, Yan Zhou, Yinan Wu, Lifeng Zhu, Tong Ruan, Jingping Liu |
| 2026 | LieT- H | Mei Yu, Mengyi Zhang, Mankun Zhao, Tianyi Xu, Jiujiang Guo, Xuewei Li, Jian Yu, Ruiguo Yu |
| 2026 | LOSTFormer: Linear Orthogonal Spatio-Temporal Transformer with Learnable Rotation. | Yechen Yu, Liang Xie, Jiankai Zheng, Peilin Tan |
| 2026 | Cluster-Guided Disentangled Representation for Cold-Start Cross-Domain Recommendation. | Huping Yu, Yuhan Wang, Qing Xie, Mengzi Tang, Lin Li, Yongjian Liu |
| 2026 | Knowledge Graph Completion via Centroid-Driven Adaptive Type Information Capture Graph Attention Network. | Ruiguo Yu, Shuyu Pan, Mankun Zhao, Tianyi Xu, Jiujiang Guo, Jian Yu, Mei Yu |
| 2026 | Precedent Retrieval Based In-Context Learning for Legal Rationale Generation. | Linan Yue, Yichao Du, Weibo Gao |
| 2026 | VoluAlign-DTA: Enhancing Prediction of Drug-Target Binding Affinity by Integrating Geometric Alignment with Dynamic Multimodal Management. | Mengfan Yuan, Yuan Zhang, Bing Jia, Baoqi Huang |
| 2026 | DMH-Net: Disentangled Multi-atlas High-Order Representation Learning Network for Neurological Disorder Diagnosis. | Manman Yuan, Ximing Ma, Yan Zhao, Jiazhen Ye, Mengyi Shao, Weiming Jia, Can Yin |
| 2026 | ActiveDiag: Dynamic Fusion of Discrepancy and Uncertainty in Active Learning for Database Anomaly Diagnosis. | Peize Yuan, Zixuan Li, Xiyue Gao, Mingzhe Wang, Hui Li, Yanguo Peng, Yaofeng Tu, Jiangtao Cui |