Meng Jiang
Artificial Intelligence · 2005–2023
A researcher in the Science corpus: 14 papers; trusts 495 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 462 citations into it; #34,155 of 35,345 by trust here, #8,999 by citations
- Natural Language Processing — 231 citations into it; #5,604 of 5,688 by trust here, #3,282 by citations
- Computer Vision and Pattern Recognition — 181 citations into it
- Large Language Models — 85 citations into it
- Representation & Self-Supervised Learning — 62 citations into it
- Graph Learning — 61 citations into it
- Evaluation & Benchmarks — 56 citations into it
- Molecular Biology — 55 citations into it
Whom Meng Jiang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yehuda Koren
- Yoshua Bengio
- Diederik P. Kingma
- Ruslan Salakhutdinov
- Ilya Sutskever
- Alex Krizhevsky
- Yann LeCun
- Kaiming He
- Alex Graves
Who trusts Meng Jiang overall
Papers from Meng Jiang's perspective
Ordered by how strongly the researchers Meng Jiang 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
- 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)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- Generate rather than Retrieve: Large Language Models are Strong Context Generators (2022) — 431 citations
- Enhancing Factual Consistency of Abstractive Summarization (2021) — 158 citations
- A Survey of Knowledge-enhanced Text Generation (2020) — 345 citations
- Knowledge-Augmented Methods for Natural Language Processing (2023) — 21 citations
- Large Language Models on Graphs: A Comprehensive Survey (2023) — 322 citations
- A Unified Encoder-Decoder Framework with Entity Memory (2022) — 12 citations
- Diversifying Content Generation for Commonsense Reasoning with Mixture of Knowledge Graph Experts (2022) — 39 citations
- Data Augmentation for Graph Neural Networks (2020) — 507 citations
- Graph Few-shot Learning via Knowledge Transfer (2019) — 194 citations
- Automated Phrase Mining from Massive Text Corpora (2017) — 322 citations
- Large-Scale Embedding Learning in Heterogeneous Event Data (2016) — 88 citations
- Social contextual recommendation (2012) — 317 citations
- Cation Ordering in Layered O3 Li[NixLi1/3-2x/3Mn2/3-x/3]O2 (0 ≤ x ≤ 1/2) Compounds (2005) — 267 citations
- Ieee Transactions on Knowledge and Data Engineering, Manuscropt Id 1 Social Recommendation with Cross-domain Transferable Knowledge