Dawei Yin
Artificial Intelligence · 2009–2024
A researcher in the Science corpus: 20 papers; trusts 368 researchers and is trusted by 9 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 570 citations into it; #18,158 of 35,345 by trust here, #3,687 by citations
- Natural Language Processing — 196 citations into it; #5,009 of 5,688 by trust here, #3,282 by citations
- Information Systems — 173 citations into it; #3,900 of 8,771 by trust here, #607 by citations
- Computer Vision and Pattern Recognition — 154 citations into it
- Large Language Models — 94 citations into it
- Representation & Self-Supervised Learning — 49 citations into it
- Safety, Robustness & Interpretability — 47 citations into it
- Reinforcement Learning — 42 citations into it
Whom Dawei Yin trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Geoffrey E. Hinton
- Yoshua Bengio
- Ilya Sutskever
- Alex Krizhevsky
- Alex Graves
- Yann LeCun
- Ruslan Salakhutdinov
- Nitin Jindal
- Oriol Vinyals
Who trusts Dawei Yin overall
- Pushkar Mishra
- John Pavlopoulos
- Elizabeth Whittaker
- Helen Yannakoudakis
- Prodromos Malakasiotis
- Ying Chen
- Niloofar Safi Samghabadi
- Cynthia Van Hee
- Ekaterina Shutova
- Ion Androutsopoulos
Papers from Dawei Yin's perspective
Ordered by how strongly the researchers Dawei Yin trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- 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
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- 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)
Their papers
- A Survey on Dialogue Systems: Recent Advances and New Frontiers (2017) — 774 citations
- Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agent (2023) — 576 citations
- Sequicity: Simplifying Task-oriented Dialogue Systems with Single Sequence-to-Sequence Architectures (2018) — 349 citations
- Beyond Ranking: Optimizing Whole-Page Presentation (2016) — 86 citations
- Data Manipulation: Towards Effective Instance Learning for Neural Dialogue Generation via Learning to Augment and Reweight (2020) — 73 citations
- Deep reinforcement learning for page-wise recommendations (2018) — 442 citations
- Recommendations with Negative Feedback via Pairwise Deep Reinforcement Learning (2018) — 386 citations
- Deep Reinforcement Learning for List-wise Recommendations (2017) — 195 citations
- Robust Tree-based Causal Inference for Complex Ad Effectiveness Analysis (2015) — 42 citations
- Tool learning with large language models: a survey (2024) — 297 citations
- Exploring the Potential of Large Language Models (LLMs)in Learning on Graphs (2023) — 443 citations
- Explainability for Large Language Models: A Survey (2023) — 887 citations
- GraphGPT: Graph Instruction Tuning for Large Language Models (2023) — 364 citations
- Representation Learning with Large Language Models for Recommendation (2023) — 427 citations
- LLMRec: Large Language Models with Graph Augmentation for Recommendation (2023) — 451 citations
- Hypergraph Contrastive Collaborative Filtering (2022) — 479 citations
- GraphLIME: Local Interpretable Model Explanations for Graph Neural Networks (2020) — 484 citations
- Graph Neural Networks for Social Recommendation (2019) — 2,365 citations
- Streaming Recommender Systems (2016) — 113 citations
- Detection of Harassment on Web 2.0 (2009) — 455 citations