Yidong Wang

Artificial Intelligence · 2021–2024

A researcher in the Science corpus: 7 papers; trusts 98 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 329 citations into it
• Computer Vision and Pattern Recognition — 123 citations into it
• Representation & Self-Supervised Learning — 49 citations into it
• Optimization & Training — 27 citations into it
• Statistical Learning Theory — 5 citations into it

Whom Yidong Wang trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Kaiming He
4. Yoshua Bengio
5. Diederik P. Kingma
6. Ilya Sutskever
7. Yann LeCun
8. Quoc V. Le
9. Ross B. Girshick
10. Alex Graves

Who trusts Yidong Wang overall

1. Zhiyuan Zeng
2. Chi-Min Chan
3. Massih-Reza Amini

Papers from Yidong Wang's perspective

Ordered by how strongly the researchers Yidong Wang trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• A Survey on Evaluation of Large Language Models (2023) — 3,582 citations
• PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization (2023) — 400 citations
• AutoSurvey: Large Language Models Can Automatically Write Surveys (2024)
• On the Robustness of ChatGPT: An Adversarial and Out-of-distribution Perspective (2023) — 310 citations
• PromptRobust: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts (2023) — 312 citations
• FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning (2022) — 477 citations
• FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling (2021) — 1,316 citations