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ORCID20th ADMA 2024, Sydney, NSW, Australia - Part II
- Quan Z. Sheng
, Gill Dobbie, Jing Jiang, Xuyun Zhang, Wei Emma Zhang, Yannis Manolopoulos, Jia Wu, Wathiq Mansoor, Congbo Ma:
Advanced Data Mining and Applications - 20th International Conference, ADMA 2024, Sydney, NSW, Australia, December 3-5, 2024, Proceedings, Part II. Lecture Notes in Computer Science 15388, Springer 2025, ISBN 978-981-96-0813-3
Data Mining Foundations and Algorithms
- Weiyou Liu, Zhengyang Li, Weitong Chen:
Evaluating Model Robustness Using Adaptive Sparse L0 Regularization. 3-17 - Siqi Zhang, Feng Zhou, Zhidong Li, Yang Wang, Donglian Qi, Shuming Li:
Expert-Guided Model Cultivation: CoTeaching to Resolve Abstruseness and Enhance Learning Performance. 18-32 - Rui Wang, Zhilong Shan:
DEKT: Difficulty Representation Enriched Knowledge Tracing. 33-47 - Dinhsontung Ta, Phan Ha, Vanha Tran, Vanhieu Bui:
An Algorithm for Discovering Prevalent Co-location Patterns with Considering Both Density and Connectivity. 48-63 - Yuqi Sha, Yixuan Jiang, Junwei Du, Qiang Hu, Feng Jiang:
An Ensemble Learning Method Based on Neighborhood Random Super-Reduct for Software Defect Number Prediction. 64-80 - Nimish Ukey, Guangjian Zhang, Zhengyi Yang, Xiaoyang Wang, Binghao Li, Serkan Saydam, Wenjie Zhang:
A Cluster-Based Approach to kNN Join Over Batch-Dynamic High-Dimensional Data. 81-96 - Zan Zhang, Jialin Zhou:
Multi-dimensional Classification via Global and Local Label Correlation. 97-111 - Liang Zhang, Jiatian Zhang:
An Intrusion Detection Model Based on CNN-BiLSTM. 112-126 - Zheng Chen, Ruijin Wang, Ye Zhu, Chao Tang, Donglin He, Jiachen Wang, Fengli Zhang:
TBRL: Trajectory-Based Reinforcement Learning for Flexible Job-Shop Scheduling Problem. 127-142 - Yahe Li, Zhipeng Xie:
An Active Learning Method via Expected Model Loss Reduction. 143-159 - Huidong Tang, Chen Li, Yasuhiko Morimoto:
When Molecular GAN Meets Byte-Pair Encoding. 160-174
Federated Learning
- Lishan Yang, Alireza Seyed Shakeri, Liangxi Pu, Weitong Chen, Yanjun Shu:
Efficient Clustered Federated Learning by Locality Sensitive Hashing. 177-191 - Siyuan Wu, Hao Tian, Weiran Zhang, Tingtong Zhu, Fuwen Tian, Zhehong Wang, Wanchun Dou:
A Heterogeneous Federated Learning Method Based on Dual Teachers Knowledge Distillation. 192-207 - Saqr Khalil Saeed Thabet, Behnaz Soltani, Yipeng Zhou, Quan Z. Sheng, Shiting Wen:
Towards Efficient Decentralized Federated Learning: A Survey. 208-222 - Kasun Eranda Wijethilake, Adnan Mahmood, Quan Z. Sheng:
FedCLF - Towards Efficient Participant Selection for Federated Learning in Heterogeneous IoV Networks. 223-238 - Jingxue Chen, Zhiwei Si, Jingcheng Song, Manoranjan Mohanty, Weiqi Wang, Hu Xiong:
UFL: Unlinkable Federated Learning Through Shuffle and Shamir's Secret Sharing. 239-253 - Fahmida Islam, Adnan Mahmood, Noorain Mukhtiar, Kasun Eranda Wijethilake, Quan Z. Sheng:
FairEquityFL - A Fair and Equitable Client Selection in Federated Learning for Heterogeneous IoV Networks. 254-269 - Huidong Tang, Chen Li, Huachong Yu, Sayaka Kamei, Yasuhiko Morimoto:
Tailored Federated Learning: Leveraging Direction Regulation and Knowledge Distillation. 270-284 - Weifeng Sun, Ailian Wang, Zunjing Gao, Yipeng Zhou:
A Communication-Concerned Federated Learning Framework Based on Clustering Selection. 285-300 - Wenyou Du, Haihang Wang, Jiaming Shen, Guanglei Meng, Yuming Guo, Wei Zhou:
Secure Privacy-Preserving SMOTE for Vertical Federated Learning. 301-315
Knowledge Graph
- Yutong Qu, Jian Yang, Weitong Chen, Yan Jiao, Lishan Yang, Congbo Ma:
Enhancing Chemistry-Domain Scientific Paper Summarization by Knowledge Graphs. 319-334 - Haoxuan Feng, Yuhan Zheng, Zhuoheng Ma, Rui Meng, Yongqi Zhang, Chen Zhang:
Integrating Graph Temporal-Structural Dependencies and Textual Semantics for Outdated Fact Detection. 335-350 - Penghui Ge, Wei Chen, Xi Chen, Qingzhi Ma, Lei Zhao:
Periodic Patterns and Long-Term Dependencies Based Temporal Knowledge Graph Completion. 351-365 - Tian Xie, Qi Song, Qi Zhao, Hao Jiang, YiJie Li, Tongjing Zhu:
Query Exploration Based on Knowledge Reasoning. 366-382 - Linya Cheng, Chunhong Zhang, Xiaosheng Tang:
SFDG-RE: Self-Feedback Description Generation Based on LLMs for Enhanced Zero-Shot Relation Extraction. 383-398 - Pengjie Liu:
MUSE: Integrating Multi-Knowledge for Knowledge Graph Completion. 399-413 - Heng Li, Jinhui Wei, Jicheng Yu, Yuncheng Jiang:
Enhancing Embedding and Hierarchical Reward Shaping for Multi-Hop Reasoning with Reinforcement Learning. 414-429
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