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ORCID30th DASFAA 2025: Singapore - Part V
- Feida Zhu
, Philip S. Yu, Akiyo Nadamoto, Ee-peng Lim, Kyuseok Shim, Wei Ding, Bingxue Zhang:
Database Systems for Advanced Applications - 30th International Conference, DASFAA 2025, Singapore, Singapore, May 26-29, 2025, Proceedings, Part V. Lecture Notes in Computer Science 15990, Springer 2026, ISBN 978-981-95-4154-6
Recommendation
- Zi-Feng Mai, Jianyang Zhai, Naiqing Li, Chang-Dong Wang, Zhongjie Zeng, Ya Li, Jiaquan Chen:
Hypergraph Enhanced Knowledge Tree Prompt Learning for Next-Basket Recommendation. 3-18 - Xinlong Feng, Qianfang Xu, Shaojie Tang, Bo Xiao:
MHGCP: Multi-view Heterogeneous Graph with Cross-View Projection for Recommendation. 19-34 - Jin Huang, Yu Qian, Zixu Yang, Zhijun Sun:
Towards Scenario-Adaptive User Behavior Modeling for Multi-scenario Recommendation. 35-50 - Lei Li, Xiao Zhou:
Leave no one Behind: Enhancing Diversity While Maintaining Accuracy in Social Recommendation. 51-67 - Yue Kou, Eryu Jiang, Derong Shen, Xiangmin Zhou, Dong Li, Tiezheng Nie, Ge Yu:
Counterfactual Path Augmentation for Reinforcement Reasoning in Explainable Recommendation. 68-83 - Jianzhe Zhao, Lingyan He, Fanzhe Lin, Jiaqi Ding, Xiaxue Zhu, Guibing Guo:
Adaptive Personalized Federated Recommendation with Global Knowledge Distillation. 84-99 - Guanghui Zhu, Wang Lu, Chunfeng Yuan, Yihua Huang:
FHCF: Fully-Hyperbolic Symmetric Graph Learning for Collaborative Filtering. 100-116 - Bin Ruan, Hao Liu, Yitian Tu, Zhiying Deng, Zhiqiang Guo, Jianjun Li:
UGDA: A Unified Graph-Based Method with Domain-Specific Adaptation for Multi-Domain Recommendation. 117-133 - Yuliang Liang, Yuting Liu, Yizhou Dang, Enneng Yang, Guibing Guo, Wei Cai, Jianzhe Zhao, Xingwei Wang:
Self-supervised Hierarchical Representation for Medication Recommendation. 134-150 - Junnan Zhuo, Bohan Li, Sujie Yu, Shuai Xu, Xinzhe Zhao, Zekun Xu, Guan Yuan:
Self-supervised Dual Graph and Intention Association for Session-Based Recommendation. 151-167 - Wei Ji, Zhiyu Chen, Jing Xiao:
Exercise Recommendation Based on Feature-Aligned Knowledge Tracing. 168-184 - Kehan Chen, Jiaxing Bai, Yishan Ji, Chen Lin, Ying Wang:
Joint User and Item Prototype Alignment for Cross-Platform Recommendation. 185-201 - Anchen Li, Jinglong Ji, Riting Xia, Bo Yang:
Diffusion Multi-behavior Recommender Model. 202-217 - Zihan Zhang, Hongzhi Liu, Tianqi Sun, Xiaoshuang Guo, Zhonghai Wu:
HHGCN-DrugRec: Hierarchical HyperGraph Convolution Network for Drug Combination Recommendation. 218-234 - Xuanming Zhang, Yonghe Lu, Jianxing Yu, Huaijie Zhu, Wei Liu, Wenqing Chen, Jian Yin:
Emotion-Based Conversational Recommendation by Inferring Implicit Users' Preferences from Their Subjective Claims. 235-252 - Sicong Liu, Ke Yan, Haojie Shi, Ming Jia:
CDIVR: Cognitive Dissonance-Aware Interactive Video Recommendation. 253-268 - Mo Li, Zhaosong Zhao, Linlin Ding, Mingyang Ma:
Modeling Personalized Short-Term and Periodic Long-Term Preferences for Enhanced Next POI Recommendation. 269-285 - Yifan Wang, Shen Gao, Jiabao Fang, Lisi Chen, Peng Han, Shuo Shang:
DRE: Generating Recommendation Explanations by Aligning Large Language Models at Data-Level. 286-302 - Yuting Liu, Yizhou Dang, Yuliang Liang, Qiang Liu, Guibing Guo, Jianzhe Zhao, Xingwei Wang:
Towards Unified Modeling for Positive and Negative Preferences in Sign-Aware Recommendation. 303-319 - Fangye Wang, Xiaoran Yan:
Alignment-Uniformity Aware Feature Representation Learning for CTR Prediction. 320-330 - Tingting Zheng, Zhilong Shan, Zhengyang Wu, Xiaoyong Hu:
Diffusion Based Data Augmentation for Multi-behavior Sequential Recommendation. 331-340 - Beibei Li, Tao Xiang, Beihong Jin, Yiyuan Zheng, Rui Zhao:
Semantic Gaussian Mixture Variational Autoencoder for Sequential Recommendation. 341-351 - Haipeng Liu, Yuxuan Liu, Ting Long:
Personalized Education with Ranking Alignment Recommendation. 352-361 - Yuxuan Liu, Haipeng Liu, Ting Long:
HierLLM: Hierarchical Large Language Model for Question Recommendation. 362-372 - HaoYu Wang, HongBin Xia:
Comprehensive Interest Modeling and Relational Mining for Multi-modal Recommendation. 373-382 - Zhijia Chen, Chen Jason Zhang, Rui Meng, Peng Cheng, Libin Zheng, Jian Yin:
Demand-Oriented Route Recommendation for Shared Mobility Services. 383-393 - Cairong Yan, Jinyi Han, Jin Ju, Yanting Zhang, Zijian Wang, Xuan Shao:
CoCoB: Adaptive Collaborative Combinatorial Bandits for Online Recommendation. 394-403 - Cairong Yan, Hualu Xu, Yanting Zhang, Zijian Wang, Xuan Shao:
KG-TS: Knowledge Graph-Driven Thompson Sampling for Online Recommendation. 404-413 - Kaiwei Xu, Yongquan Fan, Jing Tang:
Efficient Noise-Reducing Neural Network for Cross-Domain Sequential Recommendation. 414-424 - Michael Färber, David Lamprecht, Yuni Susanti:
Bridging RDF Knowledge Graphs with Graph Neural Networks for Semantically-Rich Recommender Systems. 425-437
Security and Privacy
- Shiyuan Xu, Xue Chen, Yue Wang, Tianrun Xu, Fangda Guo, Xiaoli Zhang, Siu-Ming Yiu:
Lattice-Based Forward Secure Certificateless Encryption Scheme for Cloud Data Management. 441-456 - Xue Chen, Shiyuan Xu, Fangda Guo, Yuer Yang, Chunxiao Li, Siu-Ming Yiu:
Logarithmic-Size Lattice-Based Linkable Ring Signature for Cloud Data Management. 457-472 - Ziming Zhao, Zhaoxuan Li, Tingting Li, Fan Zhang:
CyberLLM: Enable Mapping CVE to Tactics and Techniques of Cyber Threats via LLM. 473-488 - Chengyue Ge, Yuan Shen, Wei Song, Jinyang Ren, Yuan Feng:
Privacy-Preserving Multi-dimensional Range Query Optimization Across Multiple Sources. 489-504 - Dengfeng Zhao, DaXuan Xue, Suyun Zhao, Cuiping Li, Hong Chen:
Decoupled Self-knowledge Distillation Makes Differentially Private Deep Learning Stronger. 505-520 - Rong Pu, Xiaochun Yang, Yinan Liu, Jian Li, Yaoyu Jin, Fanfei Song, Bin Wang:
PriExRec: Defending Against Membership Inference Attacks in Federated Recommendation with Explicit Feedback. 521-536 - Bingyu Guan:
OPOM: The Ordinal and Parallel Optimization Method of Spark Multi-query Applications. 537-552 - Yiping Teng, Haochun Pan, Jiajia Li, Yuyao Tang, Chunlong Fan, Liang Zhao:
Enabling Efficient and Authenticated Trajectory Similarity Retrieval on Blockchain-Assisted Cloud. 553-571 - Ruixuan Zhang, Ziyi Li, Xiao Yan, Xiaokai Zhou, Hao Wang, Hao Huang, Jiawei Jiang:
InC: A Vertical Federated Learning Framework with Multiple Noisy Labels. 572-587 - Yadong Wang, Zhiwei Zhang, Pengpeng Qiao, Ye Yuan, Hao Zhang, Guoren Wang:
Breaking Free from Label Limitations: A Novel Unsupervised Attack Method for Graph Classification. 588-598 - Ke Yang, Shuguang Yuan, Jing Yu, Zhaochen Li, Yuyang Wang, Chi Chen:
TSALockMark: An Asymmetric and Robust Watermarking Scheme for Relational Databases with Distortion Constraints. 599-608 - Honglan Yu, Yibin Wang, Feifei Dai, Dong Liu, Haihui Fan, Xiaoyan Gu:
Towards Confidential and Efficient LLM Inference with Dual Privacy Protection. 609-618 - Mingyue Li, Yuntao Li, Ruizhong Du, Chunfu Jia, Wei Shao:
ECPIR: Efficient and Controllable Privacy-Preserving Image Retrieval in Cloud-Assisted System. 619-629 - Zhihui Wang, Zijian Li:
Privacy-Preserving Image Generation Based on Self-attention. 630-639
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