Qiming Diao

Artificial Intelligence · 2014–2015

A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 20 citations into it; #20,233 of 35,345 by trust here, #12,083 by citations
• Information Systems — 12 citations into it; #5,828 of 8,771 by trust here, #2,145 by citations
• Natural Language Processing — 8 citations into it
• Recommender Systems — 6 citations into it; #167 of 233 by trust here, #113 by citations
• Representation & Self-Supervised Learning — 5 citations into it

Whom Qiming Diao trusts overall

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

1. Ruslan Salakhutdinov
2. Yehuda Koren
3. Hanna M. Wallach
4. Andriy Mnih
5. Julian McAuley
6. T. Griffiths
7. Robert M. Bell
8. Geoffrey E. Hinton
9. Tomas Mikolov
10. Thorsten Joachims

Who trusts Qiming Diao overall

1. Duyu Tang
2. Zhiyong Cheng
3. Zhiting Hu
4. Bing Qin
5. Sofia Serrano
6. Nan Wang
7. Yi Tay
8. Yichao Lu
9. Xiangnan He
10. Da-Cheng Juan

Papers from Qiming Diao's perspective

Ordered by how strongly the researchers Qiming Diao 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Jointly modeling aspects, ratings and sentiments for movie recommendation (JMARS) (2014) — 461 citations
• Large Scale Distributed Semi-Supervised Learning Using Streaming Approximation (2015) — 50 citations