Muhao Chen

Artificial Intelligence · 2016–2023

A researcher in the Science corpus: 8 papers; trusts 74 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 187 citations into it; #20,134 of 35,345 by trust here, #10,942 by citations
• Natural Language Processing — 49 citations into it
• Graph Learning — 40 citations into it
• Management Science and Operations Research — 39 citations into it; #8,615 of 11,946 by trust here, #3,705 by citations
• Representation & Self-Supervised Learning — 36 citations into it
• Knowledge Graphs & Representation — 21 citations into it
• Model Architectures — 17 citations into it
• Optimization & Training — 8 citations into it

Whom Muhao Chen trusts overall

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

1. Yoshua Bengio
2. Geoffrey E. Hinton
3. Yann LeCun
4. Ronan Collobert
5. Diederik P. Kingma
6. Jason Aaron Edward Weston
7. Alex Krizhevsky
8. Ilya Sutskever
9. Antoine Bordes
10. Kaiming He

Who trusts Muhao Chen overall

1. Zequn Sun
2. Wei Hu
3. Lingbing Guo
4. Bayu Distiawan Trisedya
5. Hao Zhu
6. Stephan Morgenthaler
7. Yixin Cao
8. Yuting Wu
9. Zhe Chen
10. Zhiyuan Liu

Papers from Muhao Chen's perspective

Ordered by how strongly the researchers Muhao Chen 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. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• Examining Gender Bias in Languages with Grammatical Gender (2019) — 115 citations
• Joint Constrained Learning for Event-Event Relation Extraction (2020) — 133 citations
• Multilingual Knowledge Graph Embeddings for Cross-lingual Knowledge Alignment (2016) — 626 citations
• A benchmarking study of embedding-based entity alignment for knowledge graphs (2020) — 313 citations
• Learning from History: Modeling Temporal Knowledge Graphs with Sequential Copy-Generation Networks (2020) — 366 citations
• AutoDAN: Generating Stealthy Jailbreak Prompts on Aligned Large Language Models (2023) — 842 citations
• Knowledge Graph Alignment Network with Gated Multi-hop Neighborhood Aggregation (2019) — 391 citations
• Multifaceted protein–protein interaction prediction based on Siamese residual RCNN (2019) — 354 citations