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ORCID18th KSEM 2025: Macao, China - Part II
- Tianqing Zhu
, Wanlei Zhou, Congcong Zhu:
Knowledge Science, Engineering and Management - 18th International Conference, KSEM 2025, Macao, China, August 4-7, 2025, Proceedings, Part II. Lecture Notes in Computer Science 15920, Springer 2026, ISBN 978-981-95-3051-9 - Hahn Gao, Yang Liu, Zixuan Qin, Wou Ou:
Noise-Resistant Federated Open Set Recognition. 1-13 - Jingyi Qiu, Aibo Song, Tongwei Liu, Tianbo Zhang, Yongjian Wang, Kun Zhao:
Graph Representation-Aware Online Aggregations over Knowledge Graph. 14-27 - Sizhe Yang, Yutao Qin, Wei Ren:
LWMUNet: Enhancing Semantic Segmentation with Learnable Linked Sliding-Window Serialization. 28-39 - Jinge Ma, Zixuan Wang, Mingke Chen, Wei Ren:
A Trusted Federated Learning Scheme for Distributed GAN Model Training. 40-52 - Lang Shen, Qifei Zhang, Wenjuan Li, Minfeng Lu, Xiubo Liang:
Multimodal Sentiment Analysis with Modality-Robust and -Biased Representations and Distance-Aware Contrastive Learning. 53-68 - Xin Yuan, Yonghui Chen, Fupan Wang, Ruiying Wang, Weijie Tang:
DeNoiseFood Dataset with ECAMixDNet: An Efficient Denoising Framework for Complex Textured Food Images. 69-82 - Zhongwei Yin, Li Li, Xiaofei Xu, Yao Li, Hao Zhou:
Leveraging Language Model and Knowledge Tracing for Personalized Question Generation. 83-95 - Yunfei Lu, Peng Jin, Yifan Zhang, Lingjiao Xu, Bing Wang, Xingyuan Chen:
MFTP: Multi-round Feedback for Dynamic Travel Itinerary Optimization. 96-107 - Duyun Wang, Peilin Han, Shmuel S. Tyszberowicz, Mingyue Zhang, Bo Liu:
GraphRAG-KM: An Automated Framework for Transforming Industrial Documents into Ontology and Conceptual Models. 108-120 - Nianwen Si, Heyu Chang, Weiqiang Zhang, Wenlin Zhang:
MPN: Leveraging Multilingual Patch Neuron for Cross-Lingual Model Editing. 121-136 - Zhenhao Wang, Xin Wang, Yongwei Tang, Dongrun Li, Ming Yang, Xiaoming Wu:
AD2-pFed: Personalized Federated Learning Based on Adaptive Bilateral Distillation with Diffusion Models. 137-149 - Rong Qian, Zihao Wang, Yuchen Zhou, Yuyi Tian:
FATDyG: A Dynamic Network Link Prediction Framework for Time, Space, and Frequency Awareness. 150-165 - Dezhi An, Guifeng Han, Dongli Tan, Yujie Shao, Jun Lu, Shengcai Zhang:
Resource Optimization for FPGA-Based SM9 Digital Signature Algorithm. 166-177 - Yaxuan Hu:
Enhancing Pruning Efficiency via Maximum Prunable Channel Selection in Tiny Object Detection. 178-193 - Aolei Liu, Junkang Guo, Yuhang Wang, Jian Liu, Huiyuan Tian, Tao Qin, Hangrui Xu, Haiyan Wei:
A Multimodal Fusion Framework Employing Full-Stage Attention for Survival Prediction. 194-206 - Zhisong Mo, Wen Huang, Weixin Zhao, Mingxuan Jia, Xinrui Li, Zhishuo Zhang, Jian Peng:
Differentially Private Graph Data Publishing via Feature-Based Community Detection. 207-219 - Huifeng Liu, Jintao Li, Hu Zhang, Hongjing Yao, Lijuan Xu, Minghao Shao, Hongyu Xu:
Solving the Problem of Task Offloading in Heterogeneous Edge Computing Environments Using Deep Q-Networks and Attention Mechanisms. 220-232 - Renjie Wang, Helan Liang, Fanzhang Li:
Ant Colony Sampling with Mixture of Experts for Combinatorial Optimization. 233-247 - Te Xue, Yuanfei Deng, Shun Mao, Weixing Wang, Meiman Li:
MSCAN: Multi-scale Context-Aware Network for Multivariate Long-Time Forecasting. 248-259 - Meng Wan, Huan Hao, Yuxuan Bi, Jue Wang, Qi Su, Fang Liu, Peng Shi, Xueyan Wei, Yangang Wang, Shulong Wang, Helian Wu:
PAformer: Transformer with Learnable Period Detection and Periodic Attention for Multivariate Time Series. 260-274 - Jianfang Wang, Zihao Wang, Anunobi Victor Chibueze:
ELS-GDR: Efficient Extraction of Long-Term Sequential Signals for Guiding Diffusion-Based Recommendation. 275-286 - Dengkang Qin, Zheng Chen:
EntiFA: Entity-Based Fine-Grained Adaptation for Knowledge Enhancement in Large Language Models. 287-299 - Jichao Xiong, Jiageng Chen, Junyu Lin, Dian Jiao, Chunhua Su, Weizhi Meng:
StressSentry-FHE: A Transformer-Based Privacy-Preserving Framework for Stress Detection Using Quantized Attention. 300-311 - Fengjie Li, Wu Peng, Mingyu Zhang, Miao Wang, Hong Zhang:
Dual Attention Transformer with Multi-scale Perception for Multivariate Time Series Forecasting. 312-324 - Zengli Luo, Canlong Zhang, Zhixin Li, Zhiwen Wang, Chunrong Wei:
Uncertainty-Aware Prototype Semantic Decoupling for Text-Based Person Search in Full Images. 325-337 - Yuxuan Cheng, Yanjun Zhang, Leo Yu Zhang, Donglong Chen, Yuming Fang:
Scale Margin Loss for Object Detection. 338-350 - Yuzhuo Zhou, Chi Liu, Sheng Shen, Siyu Le, Liwen Yu, Sihan Ouyang, Zongyuan Ge:
Enhancing Fundus Image-Based Glaucoma Screening via Dynamic Global-Local Feature Integration. 351-363 - Rixi Liang, Shuai Zhou, Mingxu Zhu, Chi Liu, Minfeng Qi:
BackdoorHunter: Poisoned Training Data Removal via Contrastive Responses Under Pruned Models. 364-379 - Dongfu Xiao, Chen Gao, Zhengquan Luo, Chi Liu, Sheng Shen:
Can LLMs Assist Computer Education? An Empirical Case Study of DeepSeek. 380-392 - Wenhan Dong, Chao Lin, Xinlei He, Shengmin Xu, Xinyi Huang:
Privacy-Preserving Federated Learning via Homomorphic Adversarial Networks. 393-404 - Xin Kou, Wenjun Peng, Tong Xu:
SoMORE: Social Context-Aware MLLM for Video Character Search. 405-416 - Guangjie Chang, Pengfei Wang, Xiugang Gong, Yikang Liu, Zhihui Dong:
A Multimodal Feature Fusion Method for Analyzing Children's Interests. 417-430 - Yingdi Xu, Xiang Li, Lu Wu, Xiaoning Wang, Zhigang Zhao, Jian Zhang:
Seaformer: An Adaptive Forecasting Framework for Multi-source Heterogeneous Ocean Observation Data. 431-442 - Dat Le, Sutharshan Rajasegarar, Wei Luo, Thanh Thi Nguyen, Maia Angelova:
Hybrid Kolmogorov-Arnold and Graph Attention Networks for Gold Price Forecasting Under Uncertainty. 443-454
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