Zheng Liu
Artificial Intelligence · Annual Meeting of the Association for Computational Linguistics · 2023–2024
A researcher in the Science corpus: 4 papers; trusts 57 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 146 citations into it
- Computer Vision and Pattern Recognition — 85 citations into it
- Natural Language Processing — 62 citations into it
- Evaluation & Benchmarks — 47 citations into it
- Information Retrieval & Search — 44 citations into it
- Representation & Self-Supervised Learning — 22 citations into it
Whom Zheng Liu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Eneko Agirre
- Nils Reimers
- Niklas Muennighoff
- Geoffrey E. Hinton
- Yoshua Bengio
- Diederik P. Kingma
- Luyu Gao
- Ilya Sutskever
- Alex Krizhevsky
- Daniel Matthew Cer
Who trusts Zheng Liu overall
- Zach Nussbaum
- Hong-Liu Cao
- Hayato Tsukagoshi
- Xin Zhang
- John X. Morris
- Yixuan Tang
- Liang Wang
- Ziyan Jiang
- Brandon Duderstadt
Papers from Zheng Liu's perspective
Ordered by how strongly the researchers Zheng Liu trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Long Short-Term Memory
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
Their papers
- M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation (2024) — 1,560 citations
- OmniGen: Unified Image Generation (2024) — 394 citations
- C-Pack: Packaged Resources To Advance General Chinese Embedding (2023) — 931 citations
- C-Pack: Packed Resources For General Chinese Embeddings (2023) — 720 citations