Mingda Qiao

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 19 citations into it; #21,092 of 35,345 by trust here, #29,412 by citations
• Safety, Robustness & Interpretability — 6 citations into it
• Statistical Learning Theory — 5 citations into it; #788 of 1,038 by trust here, #920 by citations

Whom Mingda Qiao trusts overall

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

1. Gregory Valiant
2. Moses Charikar
3. Jacob Steinhardt
4. Sudeep Kamath
5. Alon Orlitsky
6. Ilias Diakonikolas
7. Edgar N. Gilbert
8. Ananda Theertha Suresh
9. Alan M. Frieze
10. Christopher J. Hillar

Who trusts Mingda Qiao overall

1. Chien-Lun Chen
2. Nikola Konstantinov
3. Leana Golubchik
4. Marco Paolieri
5. Jerry Zheng Li
6. Moran Baruch

Papers from Mingda Qiao's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Gradient-based learning applied to document recognition
4. Learning from untrusted data
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Agnostic Estimation of Mean and Covariance
7. Learning Halfspaces with Malicious Noise
8. Robust Regression via Hard Thresholding
9. Long Short-Term Memory
10. Robust Estimators in High Dimensions without the Computational Intractability

Their papers

• Learning Discrete Distributions from Untrusted Batches (2017) — 37 citations