Xiaolong Jin
Artificial Intelligence · with Cheng · 2015–2021
A researcher in the Science corpus: 5 papers; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 43 citations into it
- Representation & Self-Supervised Learning — 11 citations into it
- Natural Language Processing — 6 citations into it
- Recommender Systems — 5 citations into it
Whom Xiaolong Jin trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Yoshua Bengio
- Geoffrey E. Hinton
- Ruslan Salakhutdinov
- Tomas Mikolov
- Yann LeCun
- Antoine Bordes
- Ilya Sutskever
- Xavier Glorot
- Alex Krizhevsky
Who trusts Xiaolong Jin overall
Papers from Xiaolong Jin's perspective
Ordered by how strongly the researchers Xiaolong Jin trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- 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
- Learning Multiple Layers of Features from Tiny Images
- Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- Cross-Domain Recommendation: An Embedding and Mapping Approach (2017) — 505 citations
- Temporal Knowledge Graph Reasoning Based on Evolutional Representation Learning (2021) — 438 citations
- Predict Anchor Links across Social Networks via an Embedding Approach (2016) — 263 citations
- Locally Adaptive Translation for Knowledge Graph Embedding (2015) — 94 citations
- Significance and Challenges of Big Data Research (2015) — 752 citations