Yaliang Li
Artificial Intelligence · 2014–2023
A researcher in the Science corpus: 15 papers; trusts 171 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 305 citations into it; #27,296 of 35,345 by trust here, #7,062 by citations
- Information Systems — 131 citations into it; #7,521 of 8,771 by trust here, #1,246 by citations
- Computer Vision and Pattern Recognition — 96 citations into it
- Natural Language Processing — 94 citations into it
- Statistics and Probability — 81 citations into it
- Management Science and Operations Research — 52 citations into it
- Causal Inference & Discovery — 45 citations into it
- Evaluation & Benchmarks — 41 citations into it
Whom Yaliang Li trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Donald B. Rubin
- Diederik P. Kingma
- Yoshua Bengio
- Xin Luna Dong
- Alex Krizhevsky
- Ilya Sutskever
- Kaiming He
- Yann LeCun
- Jimmy Ba
Who trusts Yaliang Li overall
Papers from Yaliang Li's perspective
Ordered by how strongly the researchers Yaliang Li 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)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- 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)
- 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)
Their papers
- AdaBERT: Task-Adaptive BERT Compression with Differentiable Neural Architecture Search (2020) — 112 citations
- Simple and Deep Graph Convolutional Networks (2020) — 1,998 citations
- Resolving conflicts in heterogeneous data by truth discovery and source reliability estimation (2014) — 507 citations
- Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation (2023) — 679 citations
- Towards Universal Sequence Representation Learning for Recommender Systems (2022) — 355 citations
- Factual Consistency Evaluation for Text Summarization via Counterfactual Estimation (2021) — 62 citations
- CRSLab: An Open-Source Toolkit for Building Conversational Recommender System (2021) — 82 citations
- RecBole: Towards a Unified, Comprehensive and Efficient Framework for Recommendation Algorithms (2020) — 601 citations
- A Survey on Causal Inference (2020) — 690 citations
- Generative Discovery of Relational Medical Entity Pairs (2018)
- Joint Slot Filling and Intent Detection via Capsule Neural Networks (2018) — 253 citations
- Knowledge-aware Attentive Neural Network for Ranking Question Answer Pairs (2018) — 69 citations
- Representation Learning for Treatment Effect Estimation from Observational Data (2018) — 348 citations
- A Survey on Truth Discovery (2015) — 449 citations
- A Confidence-Aware Approach for Truth Discovery on Long-Tail Data (2014) — 346 citations