Zhanghao Wu
Artificial Intelligence · 2020–2023
A researcher in the Science corpus: 6 papers; trusts 204 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 163 citations into it
- Computer Vision and Pattern Recognition — 88 citations into it
- Natural Language Processing — 53 citations into it
- Model Architectures — 39 citations into it
- Evaluation & Benchmarks — 28 citations into it
- Efficiency & Compression — 25 citations into it
- Optimization & Training — 12 citations into it
- Management Science and Operations Research — 5 citations into it
Whom Zhanghao Wu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Geoffrey E. Hinton
- Ilya Sutskever
- Yoshua Bengio
- Alex Krizhevsky
- Quoc V. Le
- Barret Zoph
- Kaiming He
- Jimmy Ba
- Yann LeCun
Who trusts Zhanghao Wu overall
- Hanrui Wang
- Gianni Brauwers
- Sehoon Kim
- Kevin Qinghong Lin
- Quentin Fournier
- Dexiong Chen
- Bhaskar Mitra
- Neil C. Thompson
- Chen Zhu
- Beidi Chen
Papers from Zhanghao Wu's perspective
Ordered by how strongly the researchers Zhanghao Wu trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
Their papers
- Judging LLM-as-a-judge with MT-Bench and Chatbot Arena (2023) — 9,887 citations
- Lite Transformer with Long-Short Range Attention (2020) — 392 citations
- HAT: Hardware-Aware Transformers for Efficient Natural Language Processing (2020) — 292 citations
- LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset (2023) — 484 citations
- Representing Long-Range Context for Graph Neural Networks with Global Attention (2022) — 423 citations
- SkyPilot: An Intercloud Broker for Sky Computing (2023) — 123 citations