Xueqi Cheng
Artificial Intelligence · 2008–2021
A researcher in the Science corpus: 27 papers; trusts 494 researchers and is trusted by 57 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 392 citations into it; #4,260 of 35,345 by trust here, #3,167 by citations
- Natural Language Processing — 227 citations into it; #1,788 of 5,688 by trust here, #1,546 by citations
- Computer Vision and Pattern Recognition — 124 citations into it; #5,596 of 21,575 by trust here, #4,402 by citations
- Information Systems — 117 citations into it; #2,587 of 8,771 by trust here, #968 by citations
- Information Retrieval & Search — 107 citations into it; #582 of 1,022 by trust here, #438 by citations
- Statistical and Nonlinear Physics — 66 citations into it; #6,410 of 10,127 by trust here, #3,869 by citations
- Representation & Self-Supervised Learning — 49 citations into it
- Model Architectures — 40 citations into it
Whom Xueqi Cheng trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Diederik P. Kingma
- David M. Blei
- Mark Newman
- Ilya Sutskever
- Radford M. Neal
- Alex Krizhevsky
- Yann LeCun
- Tomas Mikolov
Who trusts Xueqi Cheng overall
- Hamed Jelodar
- Uttam Chauhan
- Jiafeng Guo
- Chenliang Li
- Jipeng Qiang
- Jierui Xie
- Kai Hui
- Bhaskar Mitra
- Andrew Yates
- Yongli Wang
Papers from Xueqi Cheng's perspective
Ordered by how strongly the researchers Xueqi Cheng trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- 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
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- 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)
Their papers
- Learning to Control the Specificity in Neural Response Generation (2018) — 86 citations
- A Deep Architecture for Semantic Matching with Multiple Positional Sentence Representations (2015) — 359 citations
- HAS-QA: Hierarchical Answer Spans Model for Open-domain Question Answering (2019) — 38 citations
- Soft Contextual Data Augmentation for Neural Machine Translation (2019) — 136 citations
- Named entity recognition in query (2009) — 435 citations
- A biterm topic model for short texts (2013) — 1,119 citations
- Text Matching as Image Recognition (2016) — 578 citations
- A Deep Look into Neural Ranking Models for Information Retrieval (2019) — 386 citations
- Adaptive Information Seeking for Open-Domain Question Answering (2021) — 43 citations
- Cross-Domain Recommendation: An Embedding and Mapping Approach (2017) — 505 citations
- Temporal Knowledge Graph Reasoning Based on Evolutional Representation Learning (2021) — 438 citations
- PROP: Pre-training with Representative Words Prediction for Ad-hoc Retrieval (2020) — 108 citations
- L2R²: Leveraging Ranking for Abductive Reasoning (2020) — 17 citations
- BeatGAN: Anomalous Rhythm Detection using Adversarially Generated Time Series (2019) — 368 citations
- Graph Wavelet Neural Network (2019) — 397 citations
- Modeling Diverse Relevance Patterns in Ad-hoc Retrieval (2018) — 94 citations
- DeepHawkes: Bridging the Gap between Prediction and Understanding of Information Cascades (2017) — 295 citations
- A Study of MatchPyramid Models on Ad-hoc Retrieval (2016) — 90 citations
- Match-SRNN: Modeling the Recursive Matching Structure with Spatial RNN (2016) — 176 citations
- Predict Anchor Links across Social Networks via an Embedding Approach (2016) — 263 citations