Yangqiu Song
Artificial Intelligence · 2008–2023
A researcher in the Science corpus: 20 papers; trusts 659 researchers and is trusted by 27 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 644 citations into it; #9,313 of 35,345 by trust here, #4,231 by citations
- Computer Vision and Pattern Recognition — 304 citations into it; #5,672 of 21,575 by trust here, #3,692 by citations
- Natural Language Processing — 264 citations into it; #2,413 of 5,688 by trust here, #1,939 by citations
- Representation & Self-Supervised Learning — 147 citations into it
- Information Systems — 75 citations into it
- Evaluation & Benchmarks — 54 citations into it; #1,727 of 3,147 by trust here, #2,704 by citations
- Large Language Models — 46 citations into it
- Molecular Biology — 45 citations into it
Whom Yangqiu Song trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Diederik P. Kingma
- Alex Krizhevsky
- Ilya Sutskever
- Yann LeCun
- Kaiming He
- Tomas Mikolov
- Sepp Hochreiter
- Ruslan Salakhutdinov
Who trusts Yangqiu Song overall
- Gabriella Csurka
- Qiang Yang
- Yu Zhang
- Shuteng Niu
- Sarah Wiegreffe
- Sinno Jialin Pan
- Xinlei Chen
- Deng Cai
- Swarnadeep Saha
- Mei Wang
Papers from Yangqiu Song's perspective
Ordered by how strongly the researchers Yangqiu Song 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)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Maximum-Likelihood Augmented Discrete Generative Adversarial Networks (2017) — 250 citations
- Parallel Spectral Clustering in Distributed Systems (2011) — 652 citations
- WinoWhy: A Deep Diagnosis of Essential Commonsense Knowledge for Answering Winograd Schema Challenge (2020) — 60 citations
- Transitive Transfer Learning (2015) — 195 citations
- Event Detection and Co-reference with Minimal Supervision (2016) — 113 citations
- TransOMCS: From Linguistic Graphs to Commonsense Knowledge (2020) — 99 citations
- Multilingual and Multi-Aspect Hate Speech Analysis (2019) — 347 citations
- Transferred Dimensionality Reduction (2008) — 126 citations
- Multi-step Jailbreaking Privacy Attacks on ChatGPT (2023) — 495 citations
- ASER: A Large-scale Eventuality Knowledge Graph (2019) — 184 citations
- Understanding Hidden Memories of Recurrent Neural Networks (2017) — 223 citations
- Instilling Social to Physical: Co-Regularized Heterogeneous Transfer Learning (2016) — 34 citations
- You Don’t Know My Favorite Color: Preventing Dialogue Representations from Revealing Speakers’ Private Personas (2022) — 23 citations
- Probing Toxic Content in Large Pre-Trained Language Models (2021) — 148 citations
- CogCompNLP: Your Swiss Army Knife for NLP (2018) — 29 citations
- MetaGAN: An Adversarial Approach to Few-Shot Learning (2018) — 451 citations
- Large-Scale Hierarchical Text Classification with Recursively Regularized Deep Graph-CNN (2018) — 436 citations
- Incrementally Learning the Hierarchical Softmax Function for Neural Language Models (2017) — 79 citations
- Meta-Graph Based Recommendation Fusion over Heterogeneous Information Networks (2017) — 562 citations
- TextFlow: Towards Better Understanding of Evolving Topics in Text (2011) — 426 citations