| 2026 | Difference-Aware Boundary Refinement for Named Entity Recognition. | Jianquan Ouyang, Wentao Liao |
| 2026 | TabRLLM: Tabular Data Generation via Local-to-Global Rule Extraction in Low-Data Regimes. | YangChen Ou, Jun Fang, Enyu Cui |
| 2026 | WEAVER: Weaving Learnersourced Questions into High-Quality Assessments with AI. | Lin Ni, Sijing Yin, Paul Denny, Jiamou Liu |
| 2026 | Scheduling Robotic Cellular Manufacturing Systems with Accelerated Reinforcement Learning on Place-Timed Petri Nets. | Zhikang Ni, Bo Huang |
| 2026 | RobotDiffuse: Diffusion-Based Motion Planning for Redundant Manipulators with the ROP Obstacle Avoidance Dataset. | Xudong Mou, Xiaohan Zhang, Tiejun Wang, Tianyu Wo, Cangbai Xu, Rui Wang, Xudong Liu |
| 2026 | Block-Wise Rolling Training for Heterogeneous Federated Learning. | Chunmei Ma, Shubin Zhang, Baogui Huang, Junhua Wu |
| 2026 | AutoCode4HW: Knowledge-Graph Enhanced Multimodal LLM Agents for Generating Medical Hemodynamics CFD Workflow Software. | Bin Lu, Haolin Wang, Jianguo Yang, Yuzhi Zhang, Rui Chen |
| 2026 | AdaSSF: A Token-Efficient Adaptive Framework for Document-Level Knowledge Graph Extraction via Semantic-Spatial Fusion. | Shuai Lu, Long Peng, Zhuo Li, Xiaodong Liu, Jie Yu |
| 2026 | GA-LLMRec: Recommender Systems with Graph-Augmented Large Language Models. | Ding Luo, Wenhui Zhou, Zhengliang Ding, Xin Xiang, Zheng Dong, Wei Zhang, Guojun Dai |
| 2026 | Vul-CGNN: Code Vulnerability Detection Based on Centrality-Enhanced Graph Neural Network. | Zixian Luo, Kexin Liu, Hongyi Jiang, Ye Tao, Shaolin Tan |
| 2026 | HCA-RLBP: A Knowledge-Aware Multimodal Fusion Network with Hierarchical Cross-Attention for RNA-Ligand Binding Site Prediction. | Jiaxing Luo, Fang Liu, Wei Hu |
| 2026 | FPBMamba: A Metro Passenger Flow Prediction Model Based on Multi-scale Temporal Representation Learning and Bidirectional Mamba Mechanism. | Siqing Long, Jiemin Xie, Yao Xiao, Ming Cai |
| 2026 | Uncertainty-Aware Context Compression for Retrieval-Augmented Generation: A Training-Free Framework. | Zhihang Li, Shuliang Zhao, Minghu Wang, Yuanyuan Zhao |
| 2026 | Contribution Title. | Jiayi Li, Zili Zhang, Shuai Wei |
| 2026 | PhyA-SNN: A Physics-Driven Agent-Collaborative Spiking Neural Network for Explainable and Fast Transient Fault Diagnosis. | Nan Li, Yunling Yang, Jiwei Zhou, Ruifu Hu |
| 2026 | Image-Text Matching via Graph Counterfactual Learning and Trustworthy Alignment. | Bo Li, Jingyi Yan, Xing Wei, Qinghui Hu, Zhixin Li |
| 2026 | SADOG: Secure Agent Discovery and Orchestration via DID-Based Endorsement and Blockchain Interaction Graphs. | Haihua Li, Jinlinag Xu, Yizhong Liu, Zhenyu Guan, Bingqi Li, Zian Jin |
| 2026 | Complexity-Aware and Response Time Enhanced Knowledge Tracing. | Wangqian Li, Weiqi Wu, Jingwei Sun, Guangzhong Sun, Yu He |
| 2026 | MedStruct-S: A Benchmark for Key Discovery, Key-Conditioned QA and Semi-structured Extraction from OCR Clinical Reports. | Yingyun Li, Yu Wang, Haiyang Qian |
| 2026 | Reliability Gating and Structural Decoupling for Robust RGB-T Salient Object Detection. | Miaoxin Li, Yan Wei |
| 2026 | Deep Learning Networks Based on Fusion Model for EEG-fNIRS Multimodal Learning Confusion in Online Class. | Junxiu Liu, Jin Zeng, Xue Ouyang, Qiang Fu, Sheng Qin, Yuling Luo |
| 2026 | Optimizing Indoor Thermal Environment via Large Language Model-Driven Multi-agent Negotiation and Dual-Layer Evolutionary Strategy. | Deli Liu, Xiaoping Zhou, Yu Li |
| 2026 | RiskGNN: A Recall-First Two-Stage Framework for TBT Notification Impact Assessment. | Danqing Liu, Junwen Ye, Lexiang Zhang, Jiaming Shen |
| 2026 | QAlign-RAG: Causal-Aware Pseudo-Question Generation and Debate-Driven Verification for Medical RAG. | Maolin Liu, Qi Yang, Hao Wang |
| 2026 | EC-KAP: Cross-Lingual Residual Knowledge Adaptation Prototypes for Resource-Constrained Edge Environments. | Fang Liu, Zhenghong Yu, Kejie Hu, Ran Wei |