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会议文集


文集名Knowledge Science, Engineering and Management
会议名18th International Conference on Knowledge Science, Engineering and Management (KSEM 2025)
中译名《第十八届国际知识科学、工程与管理会议，卷3》
会议日期August 4-7, 2025
会议地点Macao, China
出版年2026
馆藏号359437


题名作者出版年
ACL: Adaptive Chunking of Large Language Models for Efficient Inference on Automotive Edge DevicesYufei Lin; Tianxiang Xu; Chengwei Ye; Huanzhen Zhang; Kangsheng Wang2026
The Evaluation of Retrieval-Based Unlearning Mechanisms on Large Language ModelsZihan Xie; Lefeng Zhang; Minfeng Qi2026
Node Centrality Approximation in Complex Networks via Inductive Graph Neural NetworksYiwei Zou; Ting Li; Tao Zhang; Zong-fu Luo2026
Carbon Market Price Prediction Method Based on Multi-feature Fusion and Deep LearningYiyi He; Shouyi Chen; Chung-Lun Wei; Chiawei Chu2026
MMtuning: An Advanced Multi-adapter Framework for Efficient Multimodal Large Language Models Fine-TuningLi Qiao; Haowen Wang; Kazunori Sugiura; Keren Liu; Jinglu Hu2026
Multi-sensor Fusion Framework for HAR: Integrating Time-Frequency Features and Self-supervised LearningXiang Wu; Wei Zhang2026
DRL-SA: Deep Reinforcement Learning-Based Client Selection and Secure Aggregation for Federated LearningQiuhao Xu; Chen Wang; Jian Shen2026
DynamicFedPEFT: Efficient Fine-Tuning of Dynamic Federated Parameters for Large Language ModelsXiaorui Luo; Chi Jiang; Shuai Wang; Yin Zhang2026
Dynamic, Multi-scale, and Noise-Aware Modeling for Skeleton Action PredictionCui Ran; Zhu Aichun; Liu Yang2026
Adaptive Retrieval Enhancement for Open-Domain Question AnsweringLulu Lin; Xiao Zhu2026
Privacy-Preserving Shortest Path Queries on Encrypted Attributed IIoT GraphsWeixiao Wang; Qing Fan; Yajie Wang; Chuan Zhang; Liehuang Zhu2026
Text Attributed Graph Node Classification Using Sheaf Neural Networks and Large Language ModelsHaoyang Yu; Zhongyu Li; Geng Zhao; Jiayu Li; Ruofei Jiang2026
TIEBN: An Eigenvalue-Driven Blockchain Network for Anomaly DetectionGrace Mupoyi Ntuala; Jianbin Gao; Patrick Mukala; Qi Xia; Ansu Badjie; Godfred Doe; Hu Xia2026
Enhanced Knowledge Tracing via Imputing Knowledge StatesSongtao Cai; Li Li2026
Resisting Catastrophic Recall: Persistent Unlearning via Knowledge Distillation with Feature SuppressionZonghao Ji; Youyang Qu; Longxiang Gao; Taihao Zhang2026
Enhancing Legal Judgment Prediction in LLMs via Legal Norms IntegrationHan Dai; Wenwen Zhao; Li Li2026
Geo-DETR: Geographical Map Detection Based on Multi-stage Gradient Feature FusionYan Xu; Chuantao Li; Zhenqiang Zhang; Liting Geng; Yue Liu; Chunxiao Wang; Zhigang Zhao; Jialiang Lv2026
FATFI: A Framework to Generate Adversarial Traffic with Feature InterpretabilityYikang Wang; Weina Niu; Dujuan Gu; Qingjun Yuan; Jiacheng Gong; Shuangqi Gan; Xin Lin; Xiaosong Zhang2026
Enhancing Multi-source Localization via Tailored Feature Representation FrameworkWenchao Song; Guowei Chen; Yanchao Liu; Chi Zhang; Junpeng Gong; Pengzhou Zhang2026
FedMP: A Multi-prototype Heterogeneous Federated Learning FrameworkHuanhuan Chi; Yu Peng; Zhenni Liu; Ping Xiong2026
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