Siu Ming Yiu
Molecular Biology · 2009–2021
A researcher in the Science corpus: 10 papers; trusts 8 researchers and is trusted by 9 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 64 citations into it; #7,443 of 17,773 by trust here, #1,638 by citations
- Artificial Intelligence — 41 citations into it; #34,961 of 35,345 by trust here, #7,172 by citations
- Genetics — 16 citations into it
- Computer Vision and Pattern Recognition — 9 citations into it
Whom Siu Ming Yiu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Siu Ming Yiu overall
Papers from Siu Ming Yiu's perspective
Ordered by how strongly the researchers Siu Ming Yiu trusts endorse each paper. Same corpus, a different order for every researcher.
- Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
- Fast R-CNN
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Assembling millions of short DNA sequences using SSAKE (Bioinform.)
- SHARCGS, a fast and highly accurate short-read assembly algorithm for de novo genomic sequencing. (Genome Research)
- De novo bacterial genome sequencing: millions of very short reads assembled on a desktop computer. (Genome Research)
- Gradient-based learning applied to document recognition
- BLAT--the BLAST-like alignment tool. (Genome Research)
- The fragment assembly string graph (ECCB/JBI)
Their papers
- IDBA - A Practical Iterative de Bruijn Graph De Novo Assembler (2010) — 300 citations
- SOAP2: an improved ultrafast tool for short read alignment (2009) — 3,707 citations
- The sequence and de novo assembly of the giant panda genome (2009) — 1,210 citations
- SOAPdenovo2: an empirically improved memory-efficient short-read de novo assembler (2012) — 4,725 citations
- IDBA-UD: a de novo assembler for single-cell and metagenomic sequencing data with highly uneven depth (2012) — 2,818 citations
- Predicting combinative drug pairs towards realistic screening via integrating heterogeneous features (2017) — 21 citations
- Meta-IDBA: a de Novo assembler for metagenomic data (2011) — 333 citations
- Subgraph Federated Learning with Missing Neighbor Generation (2021) — 297 citations
- Metamorphic Testing: A New Approach for Generating Next Test Cases (2020) — 671 citations
- Multi-key privacy-preserving deep learning in cloud computing (2017) — 452 citations