Hongyu Lin
Artificial Intelligence · 2021–2025
A researcher in the Science corpus: 7 papers; trusts 73 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 178 citations into it; #31,116 of 35,345 by trust here, #15,866 by citations
- Natural Language Processing — 70 citations into it
- Computer Vision and Pattern Recognition — 57 citations into it; #19,265 of 21,575 by trust here, #15,162 by citations
- Large Language Models — 39 citations into it
- Management Science and Operations Research — 8 citations into it
Whom Hongyu Lin trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoshua Bengio
- Geoffrey E. Hinton
- Ilya Sutskever
- Diederik P. Kingma
- Alex Krizhevsky
- Yann LeCun
- Oriol Vinyals
- Kaiming He
- Alex Graves
- Christian Szegedy
Who trusts Hongyu Lin overall
Papers from Hongyu Lin's perspective
Ordered by how strongly the researchers Hongyu Lin trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (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
- Gradient-based learning applied to document recognition
- 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
- Bridging the Gap between Language Model and Reading Comprehension: Unsupervised MRC via Self-Supervision (2021) — 5 citations
- Benchmarking Large Language Models in Retrieval-Augmented Generation (2023) — 594 citations
- Text2Event: Controllable Sequence-to-Structure Generation for End-to-end Event Extraction (2021) — 338 citations
- Across Programming Language Silos: A Study on Cross-Lingual Retrieval-augmented Code Generation (2025)
- ShortGPT: Layers in Large Language Models are More Redundant Than You Expect (2024) — 376 citations
- ToolAlpaca: Generalized Tool Learning for Language Models with 3000 Simulated Cases (2023) — 387 citations
- Unified Structure Generation for Universal Information Extraction (2022) — 620 citations