Ching-Jui Hsiao
Information Systems · 2002–2005
A researcher in the Science corpus: 2 papers; trusts 22 researchers and is trusted by 24 researchers here, as inferred from the citation graph.
Subfields
- Information Systems — 18 citations into it; #741 of 8,771 by trust here, #2,307 by citations
- Computational Theory and Mathematics — 14 citations into it; #1,207 of 12,182 by trust here, #2,565 by citations
- Signal Processing — 13 citations into it; #898 of 7,572 by trust here, #2,052 by citations
- Artificial Intelligence — 7 citations into it
Whom Ching-Jui Hsiao trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Mohammed J. Zaki
- Roberto J. Bayardo Jr.
- Karam Gouda
- Jiawei Han
- Jian Pei
- Rakesh Agrawal
- Douglas Burdick
- Ramesh C. Agarwal
- Pradeep Shenoy
- Charu C. Aggarwal
Who trusts Ching-Jui Hsiao overall
- Jiawei Han
- Jianyong Wang
- Suzan Wedyan
- Bart Goethals
- Gösta Grahne
- Mohammed J. Zaki
- Hong Cheng
- Xifeng Yan
- Yun Chi
- Wenkai Hu
Papers from Ching-Jui Hsiao's perspective
Ordered by how strongly the researchers Ching-Jui Hsiao trusts endorse each paper. Same corpus, a different order for every researcher.
- Efficiently mining long patterns from databases
- Attention is All you Need (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Mining frequent patterns without candidate generation
- MAFIA: a maximal frequent itemset algorithm for transactional databases (Proceedings / International Conference on Data Engineering)
- Long Short-Term Memory
- Depth first generation of long patterns (Knowledge Discovery and Data Mining)
- Turbo-charging vertical mining of large databases (ACM SIGMOD Conference)
- ImageNet classification with deep convolutional neural networks
- CLOSET: An Efficient Algorithm for Mining Frequent Closed Itemsets (ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery)
Their papers
- CHARM: An Efficient Algorithm for Closed Itemset Mining (2002) — 1,203 citations
- Efficient algorithms for mining closed itemsets and their lattice structure (2005) — 667 citations