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ORCID29th DASFAA 2024: Gifu, Japan - Part II
- Makoto Onizuka
, Jae-Gil Lee, Yongxin Tong, Chuan Xiao, Yoshiharu Ishikawa, Sihem Amer-Yahia, H. V. Jagadish, Kejing Lu:
Database Systems for Advanced Applications - 29th International Conference, DASFAA 2024, Gifu, Japan, July 2-5, 2024, Proceedings, Part II. Lecture Notes in Computer Science 14851, Springer 2025, ISBN 978-981-97-5778-7
Machine Learning
- Wei Liu, Shangsong Liang, Huaijie Zhu, Leong Hou U, Jianxing Yu, Xiang Li, Jian Yin:
Variational Kernel Density Estimation Recommendation Algorithm for Users with Diverse Activity Levels. 3-18 - Haowei Jiang, Jianxing Yu, Libin Zheng, Huaijie Zhu, Wei Liu, Jian Yin:
Accelerating Training of Large Neural Models by Gradient-Based Growth Learning. 19-34 - Kailong Wu, Yule Xie, Jiaxin Ding, Yuxiang Ren, Luoyi Fu, Xinbing Wang, Chenghu Zhou:
Characterizing the Influence of Topology on Graph Learning Tasks. 35-50 - Ziquan Fang, Qichen Sun, Qilong Wang, Lu Chen, Yunjun Gao:
Distributed Temporal Graph Neural Network Learning over Large-Scale Dynamic Graphs. 51-66 - Guichun Zhou, Yijiang Chen, Xiangdong Zhou:
Score Network with Adaptive Augmentation Aggregator for Multivariate Time Series Representation Contrastive Learning. 67-82 - Li Chong, Denghao Ma, Yueguo Chen, Xueqiang Lv:
Reusing Keywords for Fine-grained Representations and Matchings. 83-98 - Weizhe Huang, Shuanghong Shen, Zhenya Huang, Qi Liu, Junyu Lu, Yu Su:
Modeling Learning Transfer Effects in Knowledge Tracing: A Dynamic and Bidirectional Perspective. 99-114 - Xinyu Yang, Yu Sun, Shaoxu Song, Xiaojie Yuan, Xinyang Chen:
Acceleration-Guided Diffusion Model for Multivariate Time Series Imputation. 115-130 - Fuqiang Yu, Fenghua Tong, Dawei Zhao, Lijuan Xu, Ning Liu:
Multi-Interest Granularity Guided Semi-Joint Learning for N-Successive POI Recommendation. 131-146 - Hao Liu, Jinrui Gan, Xiaoxuan Fan, Yi Zhang, Chuanxian Luo, Jing Zhang, Guangxin Jiang, Yucheng Qian, Changwei Zhao, Huan Ma, Zhenyu Guo:
PT-Tuning: Bridging the Gap between Time Series Masked Reconstruction and Forecasting via Prompt Token Tuning. 147-162 - Lele Sun, Jing Liu, Shenyuan Zhang, Weizhi Nie, Anan Liu, Yuting Su:
Beyond Users: Denoising Behavior-based Contrastive Learning for Disentangled Cross-Domain Recommendation. 163-178 - Liang Bao, Hua Wang, Ke Zhou, Guangyu Zhang, Ji Zhang, Xi Peng, Qingqing Yang, Renhai Chen, Gong Zhang:
Speal: Achieving a More Accurate Model with Less Training Data in Performance Evaluation of Storage System through Sampling Optimization. 179-194 - Qilong Han, Shanshan Sui, Dan Lu, Shiqing Wu, Guandong Xu:
Enhancing Spatiotemporal Prediction with Intra- and Inter-granularity Contrastive Learning. 195-210 - Hui Liu, Qiaoqiao Liu, Zhihan Yang, Junzhao Du:
TDMixer: Lightweight Long-Term Series Forecasting using Time-Continuous Embedding and Magnitude Decomposition. 211-226 - Jiazhen Ye, Chunyan An, Qiang Yang, Zhixu Li:
AoSE-GCN: Attention-Aware Aggregation Operator for Spatial-Enhanced GCN. 227-242 - Xinfeng Zeng, Tao Liu, Ming Zeng, Qingqiang Wu, Meihong Wang:
Data-free Knowledge Distillation based on GNN for Node Classification. 243-258 - Xinyu Zhang, Xiao-Yuan Jing, Xiaocui Li, Jiagang Liu:
Multi-class Imbalanced Data Classification by Deep Multi-set Discriminant Metric Learning with Optimal Balance Sampling. 259-274 - Jingyang Liu, Nan Wang, Yingli Zhong, Zhonghui Shen:
Time-aware Dual-kernel Hawkes Process for Sequential Recommendation. 275-290 - Jie Zhang, Yiqun Niu, Wei He, Cheng Jin, Chongjun Wang:
Shapley-Optimized Reinforcement Learning for Human-Machine Collaboration Policy. 291-300 - Shilu Yuan, Dongfeng Li, Wei Liu, Xinxin Zhang, Meng Chen, Junjie Zhang, Yongshun Gong:
Fine-Grained Urban Flow Inference with Dynamic Multi-scale Representation Learning. 301-311 - Qianwen Meng, Hangwei Qian, Yonghui Xu, Lizhen Cui:
SP-Aug: Towards Efficient Semantic-Preserving Augmentations in Contrastive Learning via Hierarchical Outlier Factor. 312-321
Text Processing
- Tao Qiu, Zheng Gong, Mengxiang Wang, Chuanyu Zong, Rui Zhu, Xiaochun Yang:
An Efficient Algorithm for Regular Expression Matching Using Variable-length-gram Inverted Index. 325-340 - Mengyi Yan, Weilong Ren, Yaoshu Wang, Jianxin Li:
A Retrieval-Augmented Framework for Tabular Interpretation with Large Language Model. 341-356 - Fanshen Meng, Rongheng Lin:
A Type Fusion and Span Relation Enhanced Event Extraction Framework for Confused Event. 357-372 - Keting Yin, Xiaen Sun, Tian Feng:
Cryptocurrency Topic Burst Prediction via Hybrid Twin-structured Multi-modal Learning. 373-389 - Jiayu Zhang, Xiaoyan Zhang, Xiaofeng Du, Tianbo Lu:
EBCPL: A Novel Evidence-Based Method for Concept Prerequisite Relation Learning. 390-405 - Jitong Wei, Yang Gao:
LongSum: An Efficient Transformer for Long Document Summarization. 406-415 - Huanran Zheng, Wei Zhu, Xiaoling Wang:
Chimera Model of Candidate Soups for Non-Autoregressive Translation. 416-425 - Yingzhi Miao, Martin Pavlovski, Zhiqiang Chen, Fang Zhou:
Multi-Aspect Matching between Disentangled Representations of User Interests and Content for News Recommendation. 426-435 - Xiaotong Wang, Xuanning Liu, Haorui Wang, Bin Wu:
A Dynamic pre-trained Model for Chinese Classical Poetry. 436-445 - Xiaomei Wei, Yongcheng Zhang, Ruohan Yang, Huan Wang:
Detecting Incoming Fake News in News Streams via Efficient Topic-Based Correlation. 446-455 - Jiayang Chen, Qinliang Su, Zetong Li, Hai Wan, Defu Lian:
Document Hashing by Exploiting Noisy Neighborhood Information with Fault-Tolerant Mutual-Information-Preserving VAE. 456-465 - Mingjie Zhou, Weidong Yang, Lipeng Ma, Sihang Jiang, Bo Xu, Yanghua Xiao:
Few-Shot Log Analysis with Prompt-Based Multi-task Transfer Learning. 466-475 - Yanqing An, Linan Yue, Weibo Gao, Kai Zhang, Qi Liu:
Post-hoc Facts augmented Legal Judgment Prediction. 476-485 - Zhenfei Yang, Beiming Yu, Chenxiao Dou, Qian Zhang, Yansong Chua:
SGDG: Improving Transformer Seq2Seq Models through Span Generation and Denoise Generation. 486-495 - Yingzhi Miao, Zhiqiang Chen, Fang Zhou:
What if User Preferences Shifts: Causal Disentanglement for News Recommendation. 496-506
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