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Database systems for advanced applications 31st International Conference, DASFAA 2026 Jeju, South Korea, April 27-30, 2026 proceedings Part IV Hyungsoo Jung, Tianzheng Wang, Masashi Toyoda, Hyuk-Yoon Kwon, Jae-woong Lee, editors
Springer Nature - Springer Computer Science eBooks 2026 English International Available online
View online- Format:
- Book
- Conference/Event
- Conference Name:
- DASFAA (Conference : Database systems) (31st : 2026: Cheju-si, Korea)
- Series:
- Lecture notes in computer science ; 16538.
- Lecture notes in computer science 1611-3349 16538
- Language:
- English
- Subjects (All):
- Database management.
- Genre:
- proceedings (reports)
- Conference papers and proceedings
- Conference papers and proceedings.
- Physical Description:
- 1 online resource
- Place of Publication:
- Singapore Springer [2026]
- Contents:
- Context–relation alignment in document-level relation extraction via prompt graphs / Minuk Kim and Heasoo Hwang
- Evaluating scoring bias in LLM-as-a-judge / Qingquan Li, Shaoyu Dou, Kailai Shao, Chao Chen, and Haixiang Hu
- Domain adaptation network with dual-encoder for fake news detection / Ziwen Sun, Yan Yang, Yingli Zhong, and Yong Liu
- Beyond true label : Label-assumed evidence extraction for personality prediction / Yu Ji, Zhe Huang, Xiang Liu, Yunyu Shi, and Wen Wu
- Improving multi-turn dialogue consistency with self-recall thinking / Renning Pang, Tian Lan, Leyuan Liu, Xiaoming Huang, Piao Tong, and Xiaosong Zhang
- Fault-tolerant complex event matching using K-NFA on noisy event streams / Tao Qiu, Bingbing Zhao, Baixu Lu, Chuanyu Zong, Rui Zhu, and Xiaochun Yang
- Task-aware text graph structure learning for semi-supervised text classification / Shiyu Wang, Gang Zhou, Jicang Lu, Ningbo Huang, and Qiankun Pi
- Bridge-SQL : Bridging single- and multi-turn text-to-SQL via preference-aligned question rewriting / Xuhang Zhu, Xiu Tang, Sai Wu, Yixuan Tang, Haobo Wang, Chang Yao, Ruichen Xia, and Gang Chen
- MAC-NER : Multi-agent collaborative framework for educational named entity recognition / Chunhua Lin, Xiaofeng Du, Xiaoyan Zhang, and Tianbo Lu
- NCPT : Feature-aligned new classifier initialization for incremental named entity recognition / Zesheng Liu, Qiannan Zhu, Cuiping Li, and Hong Chen
- Dual-verbalizer with label correlation modeling for few-shot multi-label text classification / Zhiyi Tian, Jingwen Sun, Guangzhong Sun, Jingwei Sun, and Yu He
- Linguistically informed graph model and semantic contrastive learning for Korean short text classification / JaeGeon Yoo, Byoungwook Kim, Yeongwook Yang, and Hong-Jun Jang
- HIPPO : Enhancing the table understanding capability of LLMs through hybrid-modal preference optimization / Haolan Wang, Zhenghao Liu, Xinze Li, Xiaocui Yang, Yu Gu, Yukun Yan, Qi Shi, Fangfang Li, Chong Chen, and Ge Yu
- HEADS : Temporal observation density boosts irregular multivariate time series forecasting / Yimian Hu, Jianping Zhou, Bin Lu, Guanjie Zheng, Luoyi Fu, Xinbing Wang, and Chenghu Zhou
- Cart : A future-oriented text impacts alignment framework for time series forecasting / Hailong Gu, Haoran Xiong, Keyue Huang, Wei Zhu, Yuheng Dai, Zhenying He, Yinan Jing, Kai Zhang, and X. Sean Wang
- PyraTSG : A hierarchical scale transition framework for dependency modeling in multivariate time series forecasting / Yuheng Dai, Haoran Xiong, Hailong Gu, Zhenying He, Yinan Jing, Kai Zhang, and X. Sean Wang
- Balancing temporal and inter-variable dependencies in multivariate time-series forecasting / Jianan Ju, Bin Wang, Leixia Wang, Xiaochun Yang, Shangru Li, Bo Feng, Boce Chu, and Jin Zhu
- REFINE : A resource-efficient LLM-based approach for next top-K POI recommendation / Yihong Pan, Qiqi Wang, Ziyi Jiang, Weizhe Shi, Zhipeng Lin, Huijia Li, and Kaiqi Zhao
- Bridging discrete marks and continuous dynamics : Dual-path cross-interaction for marked temporal point processes / Yuxiang Liu, Qiao Liu, Tong Luo, Yanglei Gan, Peng He, and Yao Liu
- From knowledge to causality : Self-supervised representation learning for Granger causal discovery in groups of time series / Bo Liu, Di Dai, Hongyan Li, and Shenda Hong
- A non-stationary spatiotemporal Hawkes process for railway delay causality learning / Jubao Cheng, Dalin Zhang, Shunjie Yang, Yunjuan Peng, and Rong-Hua Li
- SAGE-LLM : Spatially-aware generation and explanation via large language models for imbalanced spatial data classification / Wenhui Tu, Wei Liu, Huaijie Zhu, Jianxing Yu, and Jian Yin
- Causal inference supervised directed knowledge generation for causal discovery / Xiabing Zhou, Yucheng Yao, Ye Zhang, Junhao Feng, and Min Zhang
- BRep-H : A data-centric framework for structured language-driven BRep representation and reconstruction / Yunzhong Lou, Yusheng Luo, Yu Song, Jiahao Li, Xueyang Li, and Xiangdong Zhou
- CTMamba : Cross-temporal fusion in a hybrid transformer–Mamba architecture for traffic flow prediction / Yongqin Zhang, Huazhong Liu, and Jihong Ding
- Dynamic soft contrastive learning for spatio-temporal forecasting / Hanzhi Deng, Heyuan Wang, Wei Chen, Tengjiao Wang, and Kam-Fai Wong
- Multimodal crisis classification via graph neural networks / Kailing Shen, Hongbin Wang, Yantuan Xian, Junjun Guo, and Zhengtao Yu
- LOSTFormer : Linear orthogonal spatio-temporal transformer with learnable rotation / Yechen Yu, Liang Xie, Jiankai Zheng, and Peilin Tan
- A pilot empirical study on when and how to use knowledge graphs as retrieval augmented generation / Xujie Yuan, Yongxu Liu, Shimin Di, Shiwen Wu, Libin Zheng, Rui Meng, Lei Chen, Xiaofang Zhou, and Jian Yin
- The power of weighting : Multi-teacher distillation for communication-efficient federated learning / Ruojia Zhang, Weijia Feng, Tongtong Su, Wentao Wang, Fengtao Sun, Chenyang Wang, and Chongke Bi
- ClusterPatchTST : Uncertainty-aware causal clustering for heterogeneous time series forecasting / Wei Li
- tsLLM-SG : Time series forecasting by fine-tuning LLMs with dynamic soft prompts and gated frequency transformation adapters / Dongdong Mao, Shijia Li, Gaowei Zhang, Wei Wang, and Yi Wang
- A controllable agentic framework for time-series data synthesis in few-shot scenarios / Tingan Chen, Shijian Wang, Hanqian Wu, and Runqun Xiong
- TVMC : Target variance minimization clustering in GEMS latent representation for time series forecasting of air pollution / Byoungwook Kim, Seungwoo Lee, Yeongwook Yang, and Hong-Jun Jang
- Trans-RAG : Query-centric vector transformation for secure cross-organizational retrieval / Yu Liu, Kun Peng, Wenxiao Zhang, Fangfang Yuan, Cong Cao, Wenxuan Lu, and Yanbing Liu
- Fewer false positives for sparse anomalies in long time-series : Cross-window contrast and cross-level discriminative reconstruction / Jionghuan Chen, Qixue He, Yong Zhong, Xiaolin Qin, and Lishun Wang
- MS-STNet : Multi-scale spatio-temporal modeling for multivariate time series anomaly detection / Ming Wang, Jing Li, Yuanning Cui, Fei Li, Jiaqi Zhang, and Luhang Wang
- CGSTA : Cross-scale graph contrast with stability-aware alignment for multivariate time-series anomaly detection / Zhongpeng Qi, Jun Zhang, Wei Li, and Zhuoxuan Liang
- Normal invariant representation learning via weight-guided distribution alignment for open-set anomaly detection / Guanyu Lu, Fang Zhou, Hongzhe Shou, Martin Pavlovski, Chenting Dong, Bingheng Liao, and Cheqing Jin
- Notes:
- Includes bibliographical references and index
- Online resource; title from PDF title page (Springer Nature Link, viewed May 13, 2026)
- Other Format:
- Print version DASFAA (Conference : Database systems) (31st : 2026 : Cheju-si, Korea) Database systems for advanced applications
- ISBN:
- 9789819203727
- 9819203724
- OCLC:
- 1591253309
- Access Restriction:
- Restricted for use by site license
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