Anh Tuan Luu
Artificial Intelligence · 2015–2023
A researcher in the Science corpus: 14 papers; trusts 540 researchers and is trusted by 27 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 384 citations into it; #8,471 of 35,345 by trust here, #7,606 by citations
- Natural Language Processing — 170 citations into it; #2,531 of 5,688 by trust here, #2,846 by citations
- Computer Vision and Pattern Recognition — 163 citations into it; #17,159 of 21,575 by trust here, #13,542 by citations
- Model Architectures — 65 citations into it
- Information Systems — 62 citations into it; #1,487 of 8,771 by trust here, #2,821 by citations
- Materials Chemistry — 51 citations into it
- Evaluation & Benchmarks — 43 citations into it
- Graph Learning — 38 citations into it
Whom Anh Tuan Luu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Yoshua Bengio
- Geoffrey E. Hinton
- Jimmy Ba
- Alex Krizhevsky
- Ilya Sutskever
- Richard Socher
- Yann LeCun
- Kaiming He
- Alex Graves
Who trusts Anh Tuan Luu overall
- Yi Tay
- Aminu Da’u
- Xiangnan He
- Shuai Zhang
- Xiang Wang
- Yonatan Belinkov
- Naomie Binti Salim
- Siu Cheung Hui
- Qian Chen
- Kai Sun
Papers from Anh Tuan Luu's perspective
Ordered by how strongly the researchers Anh Tuan Luu trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- Multi-range Reasoning for Machine Comprehension (2018) — 36 citations
- Beyond Fully-Connected Layers with Quaternions: Parameterization of Hypercomplex Multiplications with 1/n Parameters (2021) — 95 citations
- Graph Neural Networks with Learnable Structural and Positional Representations (2021) — 497 citations
- CoupleNet: Paying Attention to Couples with Coupled Attention for Relationship Recommendation (2018) — 27 citations
- Multi-Pointer Co-Attention Networks for Recommendation (2018) — 308 citations
- Long Range Graph Benchmark (2022) — 345 citations
- Recipe for a General, Powerful, Scalable Graph Transformer (2022) — 1,075 citations
- Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models (2023) — 1,079 citations
- Lightweight and Efficient Neural Natural Language Processing with Quaternion Networks (2019) — 71 citations
- NURBS-based postbuckling analysis of functionally graded carbon nanotube-reinforced composite shells (2019) — 138 citations
- Densely Connected Attention Propagation for Reading Comprehension (2018) — 48 citations
- Latent Relational Metric Learning via Memory-based Attention for Collaborative Ranking (2017) — 322 citations
- A Compare-Propagate Architecture with Alignment Factorization for Natural Language Inference (2017) — 71 citations
- Isogeometric vibration analysis of free-form Timoshenko curved beams (2015) — 55 citations