Xiaojiang Liu
Artificial Intelligence · 2009–2020
A researcher in the Science corpus: 8 papers; trusts 180 researchers and is trusted by 75 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 149 citations into it; #2,888 of 35,345 by trust here, #4,512 by citations
- Natural Language Processing — 138 citations into it; #763 of 5,688 by trust here, #1,360 by citations
- Computer Vision and Pattern Recognition — 42 citations into it
- Model Architectures — 18 citations into it
- Information Systems — 14 citations into it
- Evaluation & Benchmarks — 10 citations into it
- Management Science and Operations Research — 9 citations into it; #6,648 of 11,946 by trust here, #4,746 by citations
- Optimization & Training — 7 citations into it
Whom Xiaojiang Liu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoshua Bengio
- Geoffrey E. Hinton
- Diederik P. Kingma
- Sepp Hochreiter
- Ilya Sutskever
- Kyunghyun Cho
- Alex Krizhevsky
- Dzmitry Bahdanau
- J. Urgen Schmidhuber
- Eugene Charniak
Who trusts Xiaojiang Liu overall
- Lei Wang
- Zhenwen Liang
- Jipeng Zhang
- Jinghui Qin
- Qinzhuo Wu
- Zhipeng Xie
- Dongxiang Zhang
- Jierui Li
- Yining Hong
- Yan Wang
Papers from Xiaojiang Liu's perspective
Ordered by how strongly the researchers Xiaojiang Liu trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- Deep Neural Solver for Math Word Problems (2017) — 397 citations
- Retrieval-guided Dialogue Response Generation via a Matching-to-Generation Framework (2019) — 90 citations
- StatSnowball: a statistical approach to extracting entity relationships (2009) — 304 citations
- Automatically Solving Number Word Problems by Semantic Parsing and Reasoning (2015) — 181 citations
- Translating a Math Word Problem to an Expression Tree (2018) — 179 citations
- Event Extraction as Machine Reading Comprehension (2020) — 334 citations
- Dual Dynamic Memory Network for End-to-End Multi-turn Task-oriented Dialog Systems (2020) — 37 citations
- Skeleton-to-Response: Dialogue Generation Guided by Retrieval Memory (2018) — 97 citations