Siqu Long

Artificial Intelligence · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 15 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 19 citations into it; #31,966 of 35,345 by trust here, #31,361 by citations
• Natural Language Processing — 16 citations into it; #5,135 of 5,688 by trust here, #5,296 by citations
• Information Systems — 9 citations into it
• Communication — 5 citations into it

Whom Siqu Long trusts overall

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

1. Quoc V. Le
2. Yashar Mehdad
3. Aditya Grover
4. Zeerak Talat
5. Ji Ho Park
6. Jason P. C. Chiu
7. Lei Gao
8. Aniruddha Ghosh

Who trusts Siqu Long overall

1. Gavin Abercrombie
2. Verena Rieser

Papers from Siqu Long's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet: A large-scale hierarchical image database
10. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)

Their papers

• Detect All Abuse! Toward Universal Abusive Language Detection Models (2020) — 26 citations
• GLocal-K: Global and Local Kernels for Recommender Systems (2021) — 52 citations