Minghui Qiu

Artificial Intelligence · 2014–2021

A researcher in the Science corpus: 8 papers; trusts 208 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 217 citations into it; #22,924 of 35,345 by trust here, #7,858 by citations
• Computer Vision and Pattern Recognition — 131 citations into it
• Natural Language Processing — 102 citations into it
• Large Language Models — 43 citations into it
• Multimodal Learning — 41 citations into it
• Information Systems — 37 citations into it; #5,074 of 8,771 by trust here, #1,443 by citations
• Information Retrieval & Search — 25 citations into it
• Management Science and Operations Research — 12 citations into it; #8,347 of 11,946 by trust here, #2,402 by citations

Whom Minghui Qiu trusts overall

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

1. Geoffrey E. Hinton
2. Diederik P. Kingma
3. Yoshua Bengio
4. Ruslan Salakhutdinov
5. Ilya Sutskever
6. Alex Krizhevsky
7. Kaiming He
8. Yann LeCun
9. Oriol Vinyals
10. Jimmy Ba

Who trusts Minghui Qiu overall

1. Duyu Tang
2. Samuel Humeau
3. Zhiyong Cheng
4. Zhiting Hu
5. Bing Qin
6. Sofia Serrano
7. Yongfeng Zhang
8. Yi Tay
9. Nan Wang
10. Yichao Lu

Papers from Minghui Qiu's perspective

Ordered by how strongly the researchers Minghui Qiu 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. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
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

• Jointly modeling aspects, ratings and sentiments for movie recommendation (JMARS) (2014) — 461 citations
• AdaBERT: Task-Adaptive BERT Compression with Differentiable Neural Architecture Search (2020) — 112 citations
• Response Ranking with Deep Matching Networks and External Knowledge in Information-seeking Conversation Systems (2018) — 149 citations
• Kaleido-BERT: Vision-Language Pre-training on Fashion Domain (2021) — 144 citations
• Open-Retrieval Conversational Question Answering (2020) — 207 citations
• MeLL: Large-scale Extensible User Intent Classification for Dialogue Systems with Meta Lifelong Learning (2021) — 33 citations
• TransPrompt: Towards an Automatic Transferable Prompting Framework for Few-shot Text Classification (2021) — 65 citations
• Global Context Enhanced Graph Neural Networks for Session-based Recommendation (2020) — 626 citations