Reynold Cheng

Artificial Intelligence · Proceedings of the VLDB Endowment · 2003–2019

A researcher in the Science corpus: 8 papers; trusts 21 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 56 citations into it; #16,106 of 35,345 by trust here, #13,962 by citations
• Statistical and Nonlinear Physics — 46 citations into it
• Computer Networks and Communications — 32 citations into it; #2,284 of 9,886 by trust here, #2,852 by citations
• Information Systems — 22 citations into it
• Signal Processing — 20 citations into it; #2,043 of 7,572 by trust here, #2,276 by citations
• Computer Vision and Pattern Recognition — 18 citations into it
• Computer Science Applications — 15 citations into it
• Computational Theory and Mathematics — 11 citations into it

Whom Reynold Cheng trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Dushyanth Narayanan
2. Sunil Prabhakar
3. Dmitri V. Kalashnikov
4. Alastair R. Beresford
5. Mahadev Satyanarayanan
6. Mark Newman
7. Santo Fortunato
8. Marco Gruteser
9. Frank Stajano
10. Claude E. Shannon

Who trusts Reynold Cheng overall

1. Charu C. Aggarwal
2. Mohamed F. Mokbel
3. Jian Pei
4. Daniela Tulone
5. Amol Deshpande
6. Yu Zheng
7. Sunil Prabhakar
8. Philip S. Yu
9. Yufei Tao
10. David C. Chu

Papers from Reynold Cheng's perspective

Ordered by how strongly the researchers Reynold Cheng trusts endorse each paper. Same corpus, a different order for every researcher.

1. Et al
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. Attention is All you Need (Neural Information Processing Systems)
8. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
9. Latent Dirichlet Allocation
10. ImageNet: A large-scale hierarchical image database

Their papers

• Preserving User Location Privacy in Mobile Data Management Infrastructures (2006) — 360 citations
• Truth Inference in Crowdsourcing: Is the Problem Solved? (2017) — 478 citations
• A survey of community search over big graphs (2019) — 345 citations
• Effective Community Search for Large Attributed Graphs (2016) — 311 citations
• Indexing Multi-Dimensional Uncertain Data with Arbitrary Probability Density Functions (2005) — 320 citations
• Efficient Indexing Methods for Probabilistic Threshold Queries over Uncertain Data (2004) — 311 citations
• Evaluating probabilistic queries over imprecise data (2003) — 695 citations
• Querying imprecise data in moving object environments (2003) — 391 citations