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Publication search results
found 27 matches
- 2024
- 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 [contents] - 2023
- Marwah Alharbi, Jiao Yin, Hua Wang:
Surveying the Landscape: Compound Methods for Aspect-Based Sentiment Analysis. ADC 2023: 101-115 - Linzhe Cai, Chen Liu, Xinghuo Yu, Chaojie Li, Andrew C. Eberhard:
Batch Level Distributed Training of LSTM with Infinity Norm Gradient Flow. ADC 2023: 183-196 - Xi Cao, Yong-Feng Ge, Ying Lin:
SMST: A Saliency Map to Scanpath Transformer. ADC 2023: 136-149 - Houyu Di, Junhu Wang:
An Experimental Evaluation of Two Methods on Shortest Distance Queries over Small-World Graphs. ADC 2023: 329-340 - Junfeng Fu, Yang Yang, Gang Hu, Xianqiang Luo, Jie Shao:
Multi-level Storage Optimization for Intermediate Data in AI Model Training. ADC 2023: 150-163 - Yihan Geng, Kunyu Wang, Ziqi Liu, Michael Yu, Jeffrey Xu Yu:
Influence Maximization Revisited. ADC 2023: 356-370 - Yan Jiang, Ruihong Qiu, Yi Zhang, Peng-Fei Zhang:
Balanced and Explainable Social Media Analysis for Public Health with Large Language Models. ADC 2023: 73-86 - Hai Lan, Yuanjia Zhang, Yu Dong, Dongxu Huang, Liu Tang, Jian Zhang:
Why Query Plans Are Different: An Automatic Detection and Inference System. ADC 2023: 213-226 - Trieu Minh Nhut Le, Jinli Cao:
Probabilistic Reverse Top-k Query on Probabilistic Data. ADC 2023: 30-43 - Miao Ma, Zhengyi Yang, Kongzhang Hao, Liuyi Chen, Chunling Wang, Yi Jin:
An Empirical Analysis of Just-in-Time Compilation in Modern Databases. ADC 2023: 227-240 - Junzhi Ning, Mingming Gong:
Enhancing Night-to-Day Image Translation with Semantic Prior and Reference Image Guidance. ADC 2023: 164-182 - David Robert Pratten, Luke Mathieson:
Relational Expressions for Data Transformation and Computation. ADC 2023: 241-255 - Bo Su, Xin Man, Hui Xu, Xiangmin Zhou, Jie Shao:
Health Status Assessment for HDDs Based on Bi-LSTM and N-Dimensional Similarity Metric. ADC 2023: 199-212 - Ningning Sun, Yue Kou, Xiangmin Zhou, Derong Shen, Dong Li, Tiezheng Nie:
Learning Implicit Sentiment for Explainable Review-Based Recommendation. ADC 2023: 59-72 - Xingyu Tan, Chengyuan Guo, Xiaoyang Wang, Wenjie Zhang, Chen Chen:
Maximum Fairness-Aware (k, r)-Core Identification in Large Graphs. ADC 2023: 273-286 - Yanran Tang, Ruihong Qiu, Xue Li:
Prompt-Based Effective Input Reformulation for Legal Case Retrieval. ADC 2023: 87-100 - Zhiyang Tang, Jinghao Wang, Yanping Wu, Xiaoyang Wang, Lu Qin, Ying Zhang:
Balanced Hop-Constrained Path Enumeration in Signed Directed Graphs. ADC 2023: 315-328 - Xunye Tian, Feng Liu:
Take a Close Look at the Optimization of Deep Kernels for Non-parametric Two-Sample Tests. ADC 2023: 17-29 - Nimish Ukey, Zhengyi Yang, Wenke Yang, Binghao Li, Runze Li:
kNN Join for Dynamic High-Dimensional Data: A Parallel Approach. ADC 2023: 3-16 - Kejia Xu, Zeming Fei, Jianke Yu, Yu Kong, Xiaoyang Wang, Wenjie Zhang:
IFGNN: An Individual Fairness Awareness Model for Missing Sensitive Information Graphs. ADC 2023: 287-300 - Xinyi Yang, Zhi Chen, Yadan Luo:
Optimizing Taxi Route Planning Based on Taxi Trajectory Data Analysis. ADC 2023: 44-55 - Kai Yao, Xin Yang, Lijun Chang:
On Directed Densest Subgraph Detection. ADC 2023: 371-384 - Haozhe Yin, Kai Wang, Wenjie Zhang, Dong Wen, Xiaoyang Wang, Ying Zhang:
Discovering Densest Subgraph over Heterogeneous Information Networks. ADC 2023: 341-355 - Bowen Yuan, Zijian Wang, Xin Yu:
Towards Reliable and Efficient Vegetation Segmentation for Australian Wheat Data Analysis. ADC 2023: 119-135 - Yidi Zhang, Selasi Kwashie, Michael Bewong, Junwei Hu, Arash Mahboubi, Xi Guo, Zaiwen Feng:
Discovering Graph Differential Dependencies. ADC 2023: 259-272 - Yufeng Zhang, Shiyuan Liu, Yanping Wu, Lu Qin, Ying Zhang:
Efficient Maximum Relative Fair Clique Computation in Attributed Graphs. ADC 2023: 301-312
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