Yasheng Wang
Artificial Intelligence · 2019–2022
A researcher in the Science corpus: 9 papers; trusts 134 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 258 citations into it; #27,704 of 35,345 by trust here, #15,236 by citations
- Natural Language Processing — 153 citations into it
- Safety, Robustness & Interpretability — 82 citations into it
- Large Language Models — 69 citations into it
- Computer Vision and Pattern Recognition — 64 citations into it
- Signal Processing — 29 citations into it
- Information Systems — 25 citations into it
- General Social Sciences — 8 citations into it
Whom Yasheng Wang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Diederik P. Kingma
- Yoshua Bengio
- Alex Krizhevsky
- Yann LeCun
- Ilya Sutskever
- Jacob Devlin
- Richard Socher
- Kaiming He
- Alec Radford
Who trusts Yasheng Wang overall
Papers from Yasheng Wang's perspective
Ordered by how strongly the researchers Yasheng Wang trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Gradient-based learning applied to document recognition
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- PanGu-Coder: Program Synthesis with Function-Level Language Modeling (2022) — 87 citations
- Towards Identifying Social Bias in Dialog Systems: Framework, Dataset, and Benchmark (2022) — 55 citations
- Constructing Highly Inductive Contexts for Dialogue Safety through Controllable Reverse Generation (2022) — 11 citations
- CINS: Comprehensive Instruction for Few-shot Learning in Task-oriented Dialog Systems (2021) — 46 citations
- Red Alarm for Pre-trained Models: Universal Vulnerabilities by Neuron-Level Backdoor Attacks (2021) — 15 citations
- Hidden Killer: Invisible Textual Backdoor Attacks with Syntactic Trigger (2021) — 338 citations
- Better Robustness by More Coverage: Adversarial Training with Mixup Augmentation for Robust Fine-tuning (2020) — 37 citations
- Unified Mandarin TTS Front-end Based on Distilled BERT Model (2020) — 26 citations
- NEZHA: Neural Contextualized Representation for Chinese Language Understanding (2019) — 128 citations