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ORCID20th ADMA 2024, Sydney, NSW, Australia - Part VI
- 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 VI. Lecture Notes in Computer Science 15392, Springer 2025, ISBN 978-981-96-0849-2
Recommendation Systems
- Zhenhai Wang, Yunlong Guo, Weimin Li, Hongyu Tian:
New Contrastive Learning Method Using Embedding Space Data Augmented for Sequence Recommendation. 3-18 - Xianlan Sun, Xiangyun Gao, Subin Huang, Haibei Zhu, Chen Xu, Pingfu Chao, Chao Kong:
Context-Augmented Contrastive Learning Method for Session-based Recommendation. 19-33 - Haiying Li, Huihui Wang, Shunmei Meng, Xingguo Chen:
Graph Contrastive Learning for Multi-behavior Recommendation. 34-48 - Jiazhen Lou, Zhao Li, Hong Wen, Jingsong Lv, Jing Zhang, Fuyu Lv, Zulong Chen, Jia Wu:
UID-Net: Enhancing Click-Through Rate Prediction in Trigger-Induced Recommendation Through User Interest Decomposition. 49-64 - Chaoqun Yang, Wei Yuan, Liang Qu, Thanh Tam Nguyen:
PDC-FRS: Privacy-Preserving Data Contribution for Federated Recommender System. 65-79 - Zhouyin Xu, Xuejun Liu, Zhuoya Xing, Jiasheng Cao, Tao He, Xiaoyang Huang:
Explicit and Implicit Counterfactual Data Augmentation for Sequential Recommendation. 80-94 - Youhan Qi, Xinglin Liu, Chenyu Li, Ying Wang:
Attention-Based Causal Graph Convolutional Collaborative Filtering. 95-109 - Zitong Zhu, Meixiu Long, Junfa Lin, Jiahai Wang:
Sequential Recommendation with Diverse Supervised Contrastive Views. 110-127 - Nan Liu, Shunmei Meng, Xiao Liu, Qianmu Li, Yu Jiang:
Disentangled Causal Embedding with Unbiased Knowledge Distillation for Recommendation. 128-142 - Shuhan Qiu, Shanming Wei, Qianmu Li:
Multi-Attribute Sequential Recommendation. 143-157 - Shicong Lin, Zhilong Shan, Su Mu:
Layer Transformer-Powered Graph Convolutional Networks for Enhanced Recommendation. 158-173 - Sujie Yu, Junnan Zhuo, Lvying Chen, Hailian Yin, Bohan Li:
Adaptive Disentangled Contrastive Collaborative Filtering. 174-189
Security and Privacy Issues
- Alavikunhu Panthakkan, Anzar S. M., Dina Shehada, Wathiq Mansoor, Husain Alahamed:
Enhancing IoT Security: Hybrid Machine Learning Approach for IoT Attack Detection. 193-207 - Tao Wang, Qianmu Li, Zhichao Lian, Zijian Ying, Fan Liu, Shunmei Meng:
Boosting Adversarial Transferability by Uniform Scale and Mix Mask Method. 208-223 - Runfei Liu, Mingze Chu, Yuming Jiang, Xuefeng Ding, Yuncheng Shen, Dasha Hu:
A Differential Privacy Decision Forest Algorithm for Reducing the Effect of Noise. 224-237 - Yushun Xie, Haiyan Wang, Runnan Tan, Xiangyu Song, Zhaoquan Gu:
CDGM: Controllable Dataset Generation Method for Cybersecurity. 238-253 - Zhenyu Chen, Lin Yao, Guowei Wu, Shisong Geng:
Enhancing Privacy in Big Data Publishing: η-Inference Model. 254-268 - Yiping Teng, Miao Li, Shiqing Wang, Huan Wang, Chuanyu Zong, Chunlong Fan:
Secure Why-Not Spatial Keyword Top-k Queries in Cloud Environments. 269-286 - Denghui Zhang, Yanming Liang, Qiangbo Huang, Xvxin Huang, Peixin Liao, Ming Yang, Liyi Zeng:
FreqAT: An Adversarial Training Based on Adaptive Frequency-Domain Transform. 287-301 - Junyu Li, Haoxi Wang:
Enhancing Network Intrusion Detection with VAE-GNN. 302-317 - Wenhao Liao, Jia Sun, Haiyan Wang, Zhaoquan Gu, Jianye Yang:
Semantic-Integrated Online Audit Log Reduction for Efficient Forensic Analysis. 318-333
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