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ORCID34th ADC 2023: Melbourne, VIC, Australia
- Zhifeng Bao, Renata Borovica-Gajic, Ruihong Qiu, Farhana Murtaza Choudhury, Zhengyi Yang:
Databases Theory and Applications - 34th Australasian Database Conference, ADC 2023, Melbourne, VIC, Australia, November 1-3, 2023, Proceedings. Lecture Notes in Computer Science 14386, Springer 2024, ISBN 978-3-031-47842-0
Mining Complex Types of Data
- Nimish Ukey
, Zhengyi Yang, Wenke Yang, Binghao Li, Runze Li:
kNN Join for Dynamic High-Dimensional Data: A Parallel Approach. 3-16 - Xunye Tian, Feng Liu:
Take a Close Look at the Optimization of Deep Kernels for Non-parametric Two-Sample Tests. 17-29 - Trieu Minh Nhut Le, Jinli Cao:
Probabilistic Reverse Top-k Query on Probabilistic Data. 30-43 - Xinyi Yang, Zhi Chen, Yadan Luo:
Optimizing Taxi Route Planning Based on Taxi Trajectory Data Analysis. 44-55
Natural Language Processing and Text Analysis
- Ningning Sun, Yue Kou, Xiangmin Zhou, Derong Shen, Dong Li, Tiezheng Nie:
Learning Implicit Sentiment for Explainable Review-Based Recommendation. 59-72 - Yan Jiang, Ruihong Qiu, Yi Zhang, Peng-Fei Zhang:
Balanced and Explainable Social Media Analysis for Public Health with Large Language Models. 73-86 - Yanran Tang, Ruihong Qiu, Xue Li:
Prompt-Based Effective Input Reformulation for Legal Case Retrieval. 87-100 - Marwah Alharbi, Jiao Yin, Hua Wang:
Surveying the Landscape: Compound Methods for Aspect-Based Sentiment Analysis. 101-115
Machine Learning and Computer Vision
- Bowen Yuan, Zijian Wang, Xin Yu:
Towards Reliable and Efficient Vegetation Segmentation for Australian Wheat Data Analysis. 119-135 - Xi Cao, Yong-Feng Ge, Ying Lin:
SMST: A Saliency Map to Scanpath Transformer. 136-149 - Junfeng Fu, Yang Yang, Gang Hu, Xianqiang Luo, Jie Shao:
Multi-level Storage Optimization for Intermediate Data in AI Model Training. 150-163 - Junzhi Ning, Mingming Gong:
Enhancing Night-to-Day Image Translation with Semantic Prior and Reference Image Guidance. 164-182 - Linzhe Cai, Chen Liu, Xinghuo Yu, Chaojie Li, Andrew C. Eberhard:
Batch Level Distributed Training of LSTM with Infinity Norm Gradient Flow. 183-196
Database Systems and Data Storage
- Bo Su, Xin Man, Hui Xu, Xiangmin Zhou, Jie Shao:
Health Status Assessment for HDDs Based on Bi-LSTM and N-Dimensional Similarity Metric. 199-212 - Hai Lan, Yuanjia Zhang, Yu Dong, Dongxu Huang, Liu Tang, Jian Zhang:
Why Query Plans Are Different: An Automatic Detection and Inference System. 213-226 - Miao Ma, Zhengyi Yang, Kongzhang Hao, Liuyi Chen, Chunling Wang, Yi Jin:
An Empirical Analysis of Just-in-Time Compilation in Modern Databases. 227-240 - David Robert Pratten, Luke Mathieson:
Relational Expressions for Data Transformation and Computation. 241-255
Data Quality and Fairness for Graphs
- Yidi Zhang, Selasi Kwashie, Michael Bewong, Junwei Hu, Arash Mahboubi, Xi Guo, Zaiwen Feng:
Discovering Graph Differential Dependencies. 259-272 - Xingyu Tan, Chengyuan Guo, Xiaoyang Wang, Wenjie Zhang, Chen Chen:
Maximum Fairness-Aware (k, r)-Core Identification in Large Graphs. 273-286 - Kejia Xu, Zeming Fei, Jianke Yu, Yu Kong, Xiaoyang Wang, Wenjie Zhang:
IFGNN: An Individual Fairness Awareness Model for Missing Sensitive Information Graphs. 287-300 - Yufeng Zhang, Shiyuan Liu, Yanping Wu, Lu Qin, Ying Zhang:
Efficient Maximum Relative Fair Clique Computation in Attributed Graphs. 301-312
Graph Mining and Graph Algorithms
- Zhiyang Tang, Jinghao Wang, Yanping Wu, Xiaoyang Wang, Lu Qin, Ying Zhang:
Balanced Hop-Constrained Path Enumeration in Signed Directed Graphs. 315-328 - Houyu Di, Junhu Wang:
An Experimental Evaluation of Two Methods on Shortest Distance Queries over Small-World Graphs. 329-340 - Haozhe Yin, Kai Wang, Wenjie Zhang, Dong Wen, Xiaoyang Wang, Ying Zhang:
Discovering Densest Subgraph over Heterogeneous Information Networks. 341-355 - Yihan Geng, Kunyu Wang, Ziqi Liu, Michael Yu, Jeffrey Xu Yu:
Influence Maximization Revisited. 356-370 - Kai Yao, Xin Yang, Lijun Chang:
On Directed Densest Subgraph Detection. 371-384
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