Tianwei Zhang

Artificial Intelligence · 2018–2023

A researcher in the Science corpus: 7 papers; trusts 54 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 223 citations into it; #28,058 of 35,345 by trust here, #9,170 by citations
• Large Language Models — 76 citations into it
• Computer Vision and Pattern Recognition — 73 citations into it
• Safety, Robustness & Interpretability — 50 citations into it
• Privacy & Security — 17 citations into it
• Computer Networks and Communications — 14 citations into it
• Optimization & Training — 12 citations into it
• Health Informatics — 10 citations into it

Whom Tianwei Zhang trusts overall

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

1. Yann LeCun
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Alex Krizhevsky
5. Congzheng Song
6. Reza Shokri
7. Kaiming He
8. Yinzhi Cao
9. Diederik P. Kingma
10. Ian J. Goodfellow

Who trusts Tianwei Zhang overall

1. Bo Liu
2. Mozhgan Pourkeshavarz
3. Lixu Wang
4. Ming Ding
5. Jiasi Chen

Papers from Tianwei Zhang's perspective

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

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

Their papers

• Stealthy and Efficient Adversarial Attacks against Deep Reinforcement Learning (2020) — 149 citations
• Jailbreaking ChatGPT via Prompt Engineering: An Empirical Study (2023) — 722 citations
• GPT-NER: Named Entity Recognition via Large Language Models (2023) — 420 citations
• Prompt Injection attack against LLM-integrated Applications (2023) — 827 citations
• Instruction Tuning for Large Language Models: A Survey (2023) — 905 citations
• Model inversion attacks against collaborative inference (2019) — 396 citations
• Privacy-preserving Machine Learning through Data Obfuscation (2018) — 90 citations