Ruobing Xie
Artificial Intelligence · 2016–2023
A researcher in the Science corpus: 9 papers; trusts 95 researchers and is trusted by 15 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 240 citations into it; #11,486 of 35,345 by trust here, #6,422 by citations
- Information Systems — 80 citations into it
- Computer Vision and Pattern Recognition — 71 citations into it
- Natural Language Processing — 50 citations into it
- Representation & Self-Supervised Learning — 37 citations into it; #2,349 of 3,145 by trust here, #1,943 by citations
- Graph Learning — 28 citations into it; #461 of 693 by trust here, #392 by citations
- Management Science and Operations Research — 22 citations into it; #3,695 of 11,946 by trust here, #1,904 by citations
- Information Retrieval & Search — 18 citations into it
Whom Ruobing Xie trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Shay B. Cohen
- Maximilian Nickel
- Yoshua Bengio
- Geoffrey E. Hinton
- Antoine Bordes
- Diederik P. Kingma
- Zhen Wang
- Tomas Mikolov
- Alex Krizhevsky
- Ilya Sutskever
Who trusts Ruobing Xie overall
- Liang Yao
- Baoxu Shi
- Shaoxiong Ji
- Hongwei Wang
- Vincent Wenchen Zheng
- Bayu Distiawan Trisedya
- Xu Han
- Changsung Moon
- Tim Weninger
- Chengsheng Mao
Papers from Ruobing Xie's perspective
Ordered by how strongly the researchers Ruobing Xie 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
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- Representation Learning of Knowledge Graphs with Entity Descriptions (2016) — 758 citations
- ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs (2023) — 1,907 citations
- Neural Snowball for Few-Shot Relation Learning (2019) — 85 citations
- Iterative Entity Alignment via Joint Knowledge Embeddings (2017) — 394 citations
- Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach (2023) — 372 citations
- AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors in Agents (2023) — 698 citations
- Large Language Models are Zero-Shot Rankers for Recommender Systems (2023) — 576 citations
- Representation Learning of Knowledge Graphs with Hierarchical Types (2016) — 332 citations
- Image-embodied Knowledge Representation Learning (2016) — 303 citations