Jiaji Huang

Artificial Intelligence · 2015–2020

A researcher in the Science corpus: 4 papers; trusts 61 researchers and is trusted by 24 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 58 citations into it; #9,807 of 35,345 by trust here, #5,252 by citations
• Computer Vision and Pattern Recognition — 39 citations into it
• Natural Language Processing — 36 citations into it
• Signal Processing — 34 citations into it; #2,044 of 7,572 by trust here, #570 by citations
• Generative Models — 31 citations into it; #655 of 1,956 by trust here, #463 by citations
• Probabilistic & Bayesian Methods — 12 citations into it
• Evaluation & Benchmarks — 6 citations into it
• Optimization & Training — 5 citations into it

Whom Jiaji Huang trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Alex Graves
4. Dong Chen
5. Yoshua Bengio
6. Burr Settles
7. Alex Krizhevsky
8. Yann LeCun
9. Kaiming He
10. Ilya Sutskever

Who trusts Jiaji Huang overall

1. Daniel Gissin
2. Jonathan Ho
3. Shuai Li
4. Raja Giryes
5. Jinglin Liu
6. Jure Sokolić
7. Shai Shalev-Shwartz
8. Arash Vahdat
9. Sang-gil Lee
10. Xu Tan

Papers from Jiaji Huang's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
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. GENERATIVE ADVERSARIAL NETS
9. Learning Multiple Layers of Features from Tiny Images
10. Going deeper with convolutions

Their papers

• DiffWave: A Versatile Diffusion Model for Audio Synthesis (2020) — 2,005 citations
• Topic Compositional Neural Language Model (2017) — 84 citations
• Active Learning for Speech Recognition: the Power of Gradients (2016) — 69 citations
• Discriminative Robust Transformation Learning (2015) — 9 citations