| 2026 | Retrieval-Augmented Multi-modal Representation Learning for ECG Analysis. | Shuang Wang, Zhenlong Pang, Xinzhu Xu, Shirui Wang, Li Zhang |
| 2026 | SPGRF: A Structure-Preserving Graph Reduction Framework. | Xin Wang, Haiyang Pan, Zhenhao Tong, Ji Zhang, Bin Hu, Wenbo Xie |
| 2026 | NICE: Neighborhood-Consistent Counterfactual Generation for Minority Class Augmentation. | Linna Wang, Yuehang Ma, Yunhan Fu, Yimin Chen, Ziliang Feng, Li Lu |
| 2026 | Enhancing LLM-Based Recommendation with Semantic-Aligned Collaborative Knowledge. | Zihan Wang, Jinghao Lin, Xiaocui Yang, Yongkang Liu, Shi Feng, Daling Wang, Yifei Zhang, Ge Yu |
| 2026 | Not All Neighbors are Temporally Relevant: An Adaptive Neighborhood Aggregation Framework for Dynamic Graph Learning. | Bingce Wang, Weiping Li, Tong Mo, Xiang Yuan, Xu Chu, Liwen Zhang |
| 2026 | HIPPO: Enhancing the Table Understanding Capability of LLMs Through Hybrid-Modal Preference Optimization. | Haolan Wang, Zhenghao Liu, Xinze Li, Xiaocui Yang, Yu Gu, Yukun Yan, Qi Shi, Fangfang Li, Chong Chen, Ge Yu |
| 2026 | MS-STNet: Multi-scale Spatio-Temporal Modeling for Multivariate Time Series Anomaly Detection. | Ming Wang, Jing Li, Yuanning Cui, Fei Li, Jiaqi Zhang, Luhang Wang |
| 2026 | Distribution-Preserving Imputation for Multimodal Conversational Data via Structurally-Aware Latent Diffusion. | Han Wang, Deok-Hwan Kim |
| 2026 | DGTC: Dynamic Graph Transformer for Graph-Level Classification. | Zhe Wang, Jiawei Chen, Sheng Zhou, Canghong Jin, Chun Chen, Can Wang |
| 2026 | DCLex: An On-Disk Learned Index with Optimized I/O and Caching. | Zhuoran Wang, Lixiao Cui, Gang Wang, Xiaoguang Liu |
| 2026 | P-Raft: Distributed Consensus with Predictive Optimization Under Cross-Domain Sites. | Yangyang Wang, Ziqian Cheng, Yucheng Ji, Zichen "Frank" Xu |
| 2026 | SAGE-LLM: Spatially-Aware Generation and Explanation via Large Language Models for Imbalanced Spatial Data Classification. | Wenhui Tu, Wei Liu, Huaijie Zhu, Jianxing Yu, Jian Yin |
| 2026 | FCRD: Forced-Choice Relation-Based Diagnosis for Noncognitive Assessment. | Yukun Tu, Xiaoyu Li, Haoran Shi, Jin Wu, Chanjin Zheng |
| 2026 | PBRaft: A Scalable and Workload-Adaptive CFT Consensus Protocol for Permissioned Blockchain. | Xing Tong, Wenyu Zhang, Zhao Zhang, Bin Yang, Cheqing Jin |
| 2026 | Dual-Verbalizer with Label Correlation Modeling for Few-Shot Multi-Label Text Classification. | Zhiyi Tian, Jingwen Sun, Guangzhong Sun, Jingwei Sun, Yu He |
| 2026 | PLRF: A Personalized Learning Recommendation Framework Based on Federated Knowledge Graphs. | Yiping Teng, Tiantian Yu, Gang Wang, Zhen Song, Jiajia Li, Bin Hu |
| 2026 | T2D-CNet: A Temporal-Aware Decoupling and Data-Aware Debiasing Coordination Network for Personalized Call Timing at Scale. | Wanjie Tao, Yanyan Zheng, Zhumei Gou, Quan Lu, Ning Jiang |
| 2026 | DynSpectral: A Multi-channel Temporal Spectral GNN with Frequency Decomposition for Dynamic Graphs. | Runguo Tao, Tianpeng Li, Minglai Shao, Wenjun Wang, Xuan Guo, Yueheng Sun |
| 2026 | AdaSlice: Hotness-Aware and Adaptive Slicing for Eviction Algorithms in Database Buffer Manager with Tiered Memory. | Shikai Tan, Zhipeng Tan, Lan Lu, Zijian Zhang, Renzhi Xiao, Yutai Shu, Ying Yuan, Jinlong Wang, Wenjie Qi, Yuan Feng |
| 2026 | CoPA-Fed: A Federated Reliability Auditing System Under Biased Client Participation. | Raiha Tallat, Xiaohua Xu, Ammar Hawbani, Xingfu Wang |
| 2026 | GeneDrug: A Retrieval Platform for Analyzing Gene-Drug Relations in Cancer. | Liuzhen Su, Xudong Xie, Weilan Qian, Minhua Shao, Yungang He, Lihua Zhang |
| 2026 | GGEF: A Framework for Automatic Extraction of Gene-Drug Relationships from Cancer Guidelines. | Liuzhen Su, Xudong Xie, Weilan Qian, Mincheng Li, Shunzheng Ma, Minhua Shao, Lihua Zhang |
| 2026 | Drug-Target Explorer: An Interactive System for Real-Time Extraction of Drug-Target Relationships Based on Large Language Models. | Liuzhen Su, Yimeng Song, Weilan Qian, Yungang He, Minhua Shao, Lihua Zhang |
| 2026 | Domain Adaptation Network with Dual-Encoder for Fake News Detection. | Ziwen Sun, Yan Yang, Yingli Zhong, Yong Liu |
| 2026 | Unleashing the Power of Pre-trained Graph Models in Federated Graph Learning. | Huabin Sun, Bo Yan, Yaoqi Liu, Shaohua Fan, Yang Cao, Chuan Shi |