Sujian Li
Artificial Intelligence · 2011–2021
A researcher in the Science corpus: 12 papers; trusts 290 researchers and is trusted by 45 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 222 citations into it; #5,461 of 35,345 by trust here, #3,523 by citations
- Natural Language Processing — 186 citations into it; #1,521 of 5,688 by trust here, #1,205 by citations
- Computer Vision and Pattern Recognition — 70 citations into it
- Model Architectures — 30 citations into it
- Evaluation & Benchmarks — 29 citations into it; #1,578 of 3,147 by trust here, #1,146 by citations
- Representation & Self-Supervised Learning — 24 citations into it
- Information Systems — 18 citations into it; #5,481 of 8,771 by trust here, #6,195 by citations
- Graph Learning — 15 citations into it
Whom Sujian Li trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Geoffrey E. Hinton
- Yoshua Bengio
- Christopher D. Manning
- Ilya Sutskever
- Richard Socher
- Alex Krizhevsky
- Alex Graves
- Yann LeCun
- Sepp Hochreiter
Who trusts Sujian Li overall
- Binxuan Huang
- Yen-Chun Chen
- Zhenwen Liang
- Qinzhuo Wu
- Xin Li
- Tanya Goyal
- Jipeng Zhang
- Zhuang Chen
- Wei Xue
- Gianni Brauwers
Papers from Sujian Li's perspective
Ordered by how strongly the researchers Sujian Li trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
Their papers
- Faithful to the Original: Fact Aware Neural Abstractive Summarization (2017) — 393 citations
- Retrieve, Rerank and Rewrite: Soft Template Based Neural Summarization (2018) — 206 citations
- Order-Planning Neural Text Generation From Structured Data (2017) — 117 citations
- Enhancing Pre-Trained Language Representations with Rich Knowledge for Machine Reading Comprehension (2019) — 152 citations
- Do NLP Models Know Numbers? Probing Numeracy in Embeddings (2019) — 311 citations
- Multi-Passage Machine Reading Comprehension with Cross-Passage Answer Verification (2018) — 125 citations
- Text Level Graph Neural Network for Text Classification (2019) — 315 citations
- Exploring Text-transformers in AAAI 2021 Shared Task: COVID-19 Fake News Detection in English (2021) — 43 citations
- Tree-structured Decoding for Solving Math Word Problems (2019) — 105 citations
- Interactive Attention Networks for Aspect-Level Sentiment Classification (2017) — 1,096 citations
- Reading and Thinking: Re-read LSTM Unit for Textual Entailment Recognition (2016) — 68 citations
- Applying regression models to query-focused multi-document summarization (2011) — 187 citations