Houfeng Wang

Artificial Intelligence · 2013–2023

A researcher in the Science corpus: 10 papers; trusts 181 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 162 citations into it; #15,236 of 35,345 by trust here, #7,112 by citations
• Natural Language Processing — 93 citations into it
• Computer Vision and Pattern Recognition — 49 citations into it; #21,459 of 21,575 by trust here, #15,529 by citations
• Model Architectures — 29 citations into it
• Representation & Self-Supervised Learning — 18 citations into it; #2,510 of 3,145 by trust here, #2,217 by citations
• Evaluation & Benchmarks — 17 citations into it
• Graph Learning — 17 citations into it
• Information Systems — 15 citations into it

Whom Houfeng Wang trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Diederik P. Kingma
4. Tomas Mikolov
5. Yann LeCun
6. Ilya Sutskever
7. Alex Krizhevsky
8. Sepp Hochreiter
9. Richard Socher
10. J. Urgen Schmidhuber

Who trusts Houfeng Wang overall

1. Young-Bum Kim
2. Hwa-Yeon Kim
3. Yu Wang
4. Wanxiang Che
5. Yilin Shen
6. Joo-Kyung Kim
7. Binxuan Huang
8. Ruichu Cai

Papers from Houfeng Wang's perspective

Ordered by how strongly the researchers Houfeng Wang 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. Attention is All you Need (Neural Information Processing Systems)
4. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
8. ImageNet: A large-scale hierarchical image database
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

• Unpaired Sentiment-to-Sentiment Translation: A Cycled Reinforcement Learning Approach (2018) — 215 citations
• meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting (2017) — 171 citations
• Preference Ranking Optimization for Human Alignment (2023) — 387 citations
• Text Level Graph Neural Network for Text Classification (2019) — 315 citations
• Instantaneous Grammatical Error Correction with Shallow Aggressive Decoding (2021) — 77 citations
• SGM: Sequence Generation Model for Multi-label Classification (2018) — 434 citations
• Interactive Attention Networks for Aspect-Level Sentiment Classification (2017) — 1,096 citations
• A Joint Model of Intent Determination and Slot Filling for Spoken Language Understanding (2016) — 301 citations
• Not All Links Are Created Equal: An Adaptive Embedding Approach for Social Personalized Ranking (2016) — 9 citations
• Learning Entity Representation for Entity Disambiguation (2013) — 165 citations