Beng Chin Ooi
Artificial Intelligence · 2001–2018
A researcher in the Science corpus: 19 papers; trusts 66 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 158 citations into it; #28,082 of 35,345 by trust here, #13,760 by citations
- Computer Networks and Communications — 133 citations into it
- Information Systems — 115 citations into it
- Signal Processing — 57 citations into it
- Computer Vision and Pattern Recognition — 36 citations into it
- Hardware and Architecture — 32 citations into it
- Optimization & Training — 22 citations into it
- Privacy & Security — 17 citations into it
Whom Beng Chin Ooi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Stefan Berchtold
- Alex Krizhevsky
- Muthu Dayalan
- Geoffrey E. Hinton
- Karl Aberer
- Tian Zhang
- Yoshua Bengio
- Dimitri P. Bertsekas
- Vagelis Hristidis
- Ilya Sutskever
Who trusts Beng Chin Ooi overall
- Werner Kießling
- Wei Lu
- Kiyoung Yang
- Cyrus Shahabi
- Dimitris Papadias
- Jeffrey Xu Yu
- Xuemin Lin
- Yidong Yuan
- Mehdi Sharifzadeh
- Mehdi Gheisari
Papers from Beng Chin Ooi's perspective
Ordered by how strongly the researchers Beng Chin Ooi trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet: A large-scale hierarchical image database
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Going deeper with convolutions
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Et al
Their papers
- Active Sampler: Light-weight Accelerator for Complex Data Analytics at Scale (2015) — 18 citations
- CDAS: A Crowdsourcing Data Analytics System (2012) — 300 citations
- Privacy-Preserving Computation with Trusted Computing via Scramble-then-Compute (2017) — 25 citations
- Rafiki: Machine Learning as an Analytics Service System (2018) — 127 citations
- Towards Scaling Blockchain Systems via Sharding (2018) — 546 citations
- Capturing Feature-Level Irregularity in Disease Progression Modeling (2017) — 34 citations
- Untangling Blockchain: A Data Processing View of Blockchain Systems (2017) — 1,027 citations
- BLOCKBENCH: A Framework for Analyzing Private Blockchains (2017) — 913 citations
- The Beckman report on database research (2016) — 51 citations
- M2R: Enabling Stronger Privacy in MapReduce Computation (2015) — 131 citations
- In-Memory Big Data Management and Processing: A Survey (2015) — 438 citations
- Efficient Processing of k Nearest Neighbor Joins using MapReduce (2012) — 297 citations
- Collective spatial keyword querying (2011) — 387 citations
- EASE: an effective 3-in-1 keyword search method for unstructured, semi-structured and structured data (2008) — 449 citations
- iDistance: An adaptive B+-tree based indexing method for nearest neighbor search (2005) — 643 citations
- BATON: A Balanced Tree Structure for Peer-to-Peer Networks (2005) — 423 citations
- PeerDB: a P2P-based system for distributed data sharing (2003) — 393 citations
- Efficient Progressive Skyline Computation (2001) — 822 citations
- Indexing the Distance: An Efficient Method to KNN Processing (2001) — 319 citations