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ORCID18th KSEM 2025: Macao, China - Part III
- Tianqing Zhu
, Wanlei Zhou, Congcong Zhu:
Knowledge Science, Engineering and Management - 18th International Conference, KSEM 2025, Macao, China, August 4-7, 2025, Proceedings, Part III. Lecture Notes in Computer Science 15921, Springer 2026, ISBN 978-981-95-3054-0 - Yufei Lin, Tianxiang Xu, Chengwei Ye, Huanzhen Zhang, Kangsheng Wang:
ACL: Adaptive Chunking of Large Language Models for Efficient Inference on Automotive Edge Devices. 1-11 - Zihan Xie, Lefeng Zhang, Minfeng Qi:
The Evaluation of Retrieval-Based Unlearning Mechanisms on Large Language Models. 12-24 - Yiwei Zou, Ting Li, Tao Zhang, Zongfu Luo:
Node Centrality Approximation in Complex Networks via Inductive Graph Neural Networks. 25-40 - Yiyi He, Shouyi Chen, Chung-Lun Wei, Chiawei Chu:
Carbon Market Price Prediction Method Based on Multi-feature Fusion and Deep Learning. 41-52 - Li Qiao, Haowen Wang, Kazunori Sugiura, Keren Liu, Jinglu Hu:
MMtuning: An Advanced Multi-adapter Framework for Efficient Multimodal Large Language Models Fine-Tuning. 53-64 - Xiang Wu, Wei Zhang:
Multi-sensor Fusion Framework for HAR: Integrating Time-Frequency Features and Self-supervised Learning. 65-76 - Qiuhao Xu, Chen Wang, Jian Shen:
DRL-SA: Deep Reinforcement Learning-Based Client Selection and Secure Aggregation for Federated Learning. 77-88 - Xiaorui Luo, Chi Jiang, Shuai Wang, Yin Zhang:
DynamicFedPEFT: Efficient Fine-Tuning of Dynamic Federated Parameters for Large Language Models. 89-100 - Ran Cui, Aichun Zhu, Liu Yang:
Dynamic, Multi-scale, and Noise-Aware Modeling for Skeleton Action Prediction. 101-117 - Lulu Lin, Xiao Zhu:
Adaptive Retrieval Enhancement for Open-Domain Question Answering. 118-133 - Weixiao Wang, Qing Fan, Yajie Wang, Chuan Zhang, Liehuang Zhu:
Privacy-Preserving Shortest Path Queries on Encrypted Attributed IIoT Graphs. 134-146 - Haoyang Yu, Zhongyu Li, Geng Zhao, Jiayu Li, Ruofei Jiang:
Text Attributed Graph Node Classification Using Sheaf Neural Networks and Large Language Models. 147-161 - Grace Mupoyi Ntuala, Jianbin Gao, Patrick Mukala, Qi Xia, Ansu Badjie, Godfred Doe, Hu Xia:
TIEBN: An Eigenvalue-Driven Blockchain Network for Anomaly Detection. 162-175 - Songtao Cai, Li Li:
Enhanced Knowledge Tracing via Imputing Knowledge States. 176-188 - Zonghao Ji, Youyang Qu, Longxiang Gao, Taihao Zhang:
Resisting Catastrophic Recall: Persistent Unlearning via Knowledge Distillation with Feature Suppression. 189-201 - Han Dai, Wenwen Zhao, Li Li:
Enhancing Legal Judgment Prediction in LLMs via Legal Norms Integration. 202-214 - Yan Xu, Chuantao Li, Zhenqiang Zhang, Liting Geng, Yue Liu, Chunxiao Wang, Zhigang Zhao, Jialiang Lv:
Geo-DETR: Geographical Map Detection Based on Multi-stage Gradient Feature Fusion. 215-226 - Yikang Wang, Weina Niu, Dujuan Gu, Qingjun Yuan, Jiacheng Gong, Shuangqi Gan, Xin Lin, Xiaosong Zhang:
FATFI: A Framework to Generate Adversarial Traffic with Feature Interpretability. 227-239 - Wenchao Song, Guowei Chen, Yanchao Liu, Chi Zhang, Junpeng Gong, Pengzhou Zhang:
Enhancing Multi-source Localization via Tailored Feature Representation Framework. 240-252 - Huanhuan Chi, Yu Peng, Zhenni Liu, Ping Xiong:
FedMP: A Multi-prototype Heterogeneous Federated Learning Framework. 253-265 - Siyao Li, Yong Wang, Zhen Wang:
CGM: Intrusion Detection Based on a Multi-head Attention Optimization Model. 266-278 - Xiang Lan, Jiayin Li, Zuobin Ying, Xingshuo Han, Shengmin Xu:
FusionMIA: Enhancing Membership Inference Attacks with Spy Clients and Shadow Models in Federated Learning. 279-293 - Qing Fan, Weixiao Wang, Yajie Wang, Hui Xie, Yudi Zhang, Liehuang Zhu:
DynaKiteQuery: Top-K Closest-Vertex Queries on Dynamic Attributed Knowledge Graphs for IIoT Applications. 294-306 - Mengqi Wang, Ming Liu:
Evaluating LLMs for Multi-label Text Classification. 307-318 - Dan Zhang, Thuong Hoang, Ye Zhu, Rui Wang, Paula Crouch:
Generating Feedback for School Students Essay with Large Language Models. 319-330 - Suhuan Duan, Xingjian Xu, Fanjun Meng:
Dynamic Asymmetric Contrastive Learning with Adaptive Hard Negative Mining for Resume-Job Matching. 331-342 - Duo Zhang, Yuxia Cheng:
TRIAD: A Tool-Responsive Instruction-Aligned Framework for Domain-Specific Problem Solving. 343-354 - Yong Wang, Guangyu Peng, Xueli Nie, Bruce Gu:
Verifiable Fine-Grained Federated Unlearning. 355-371 - Kaihao Wang, Hangrui Xu, Jian Liu:
MCC: Multi-level Feature and Context-Aware Attention Mechanism with Consistent Distributions for Recipe Retrieval. 372-383 - Wei Ding, Luyao Wang, Yan Zhou, Lingzhi Kong, Myung Jin Lee, Keun Ho Ryu, Kwang Woo Nam, Qinyao Hou:
Heuristic Ant Colony Enabled Federated UAV Circuit Inspection Planning Algorithm Considering Adaptive Weather. 384-396 - Qiuhan Han, Qian Wang, Atsushi Yoshikawa, Masayuki Yamamura:
Context-Aware Spatiotemporal Graph Attention Network for Next POI Recommendation. 397-412 - Junhao Liu, Zhenhao Xu, Yuxin Fang, Yichuan Chen, Zuobin Ying, Wenhan Chang:
From Thinking to Output: Chain-of-Thought and Text Generation Characteristics in Reasoning Language Models. 413-430
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