Kyomin Jung

Artificial Intelligence · 2011–2022

A researcher in the Science corpus: 10 papers; trusts 261 researchers and is trusted by 38 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 116 citations into it; #16,359 of 35,345 by trust here, #21,878 by citations
• Natural Language Processing — 87 citations into it
• Computer Vision and Pattern Recognition — 27 citations into it; #14,480 of 21,575 by trust here, #20,271 by citations
• Statistical and Nonlinear Physics — 25 citations into it; #1,523 of 10,127 by trust here, #1,949 by citations
• Evaluation & Benchmarks — 20 citations into it
• Signal Processing — 20 citations into it
• Information Systems — 18 citations into it; #4,641 of 8,771 by trust here, #7,107 by citations
• Model Architectures — 17 citations into it

Whom Kyomin Jung trusts overall

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

1. Diederik P. Kingma
2. Yoshua Bengio
3. Geoffrey E. Hinton
4. Ilya Sutskever
5. Yajun Wang
6. Richard Socher
7. Alex Krizhevsky
8. Jimmy Ba
9. Kyunghyun Cho
10. Alex Graves

Who trusts Kyomin Jung overall

1. Youze Tang
2. Jing Ma
3. Kai Shu
4. Yanchen Shi
5. Xiaokui Xiao
6. Pushkar Mishra
7. Zhiwei Jin
8. Wei Gao
9. Ye Jia
10. Xinyi Zhou

Papers from Kyomin Jung's perspective

Ordered by how strongly the researchers Kyomin Jung 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. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
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. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

• Improving Neural Question Generation using Answer Separation (2018) — 175 citations
• Prominent Features of Rumor Propagation in Online Social Media (2013) — 796 citations
• Rumor Detection over Varying Time Windows (2017) — 345 citations
• Factual Error Correction for Abstractive Summaries Using Entity Retrieval (2022) — 15 citations
• Bidirectional Variational Inference for Non-Autoregressive Text-to-Speech (2021) — 42 citations
• Effective Sentence Scoring Method Using BERT for Speech Recognition (2019) — 113 citations
• Multimodal Speech Emotion Recognition Using Audio and Text (2018) — 352 citations
• Comparative Studies of Detecting Abusive Language on Twitter (2018) — 81 citations
• Learning to Rank Question-Answer Pairs Using Hierarchical Recurrent Encoder with Latent Topic Clustering (2017) — 35 citations
• IRIE: Scalable and Robust Influence Maximization in Social Networks (2011) — 459 citations