Dik Lun Lee
Artificial Intelligence · 2003–2019
A researcher in the Science corpus: 7 papers; trusts 29 researchers and is trusted by 10 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 69 citations into it; #30,875 of 35,345 by trust here, #13,163 by citations
- Information Systems — 52 citations into it; #3,229 of 8,771 by trust here, #1,220 by citations
- Computer Vision and Pattern Recognition — 31 citations into it; #19,226 of 21,575 by trust here, #11,498 by citations
- Signal Processing — 18 citations into it
- Recommender Systems — 17 citations into it
- Statistical and Nonlinear Physics — 14 citations into it
- Computer Networks and Communications — 13 citations into it
- Management Science and Operations Research — 11 citations into it
Whom Dik Lun Lee trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jerome H. Friedman
- Eric R. Ziegel
- Geoffrey E. Hinton
- Zachary Chase Lipton
- Tom Fawcett
- Trevor J. Hastie
- Tamara Munzner
- Steffen Rendle
- Ruslan Salakhutdinov
- Yehuda Koren
Who trusts Dik Lun Lee overall
Papers from Dik Lun Lee's perspective
Ordered by how strongly the researchers Dik Lun Lee trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Efficient Estimation of Word Representations in Vector Space
- 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
- iForest: Interpreting Random Forests via Visual Analytics (2019) — 181 citations
- Multi-Interest Network with Dynamic Routing for Recommendation at Tmall (2019) — 508 citations
- Billion-scale Commodity Embedding for E-commerce Recommendation in Alibaba (2018) — 569 citations
- Meta-Graph Based Recommendation Fusion over Heterogeneous Information Networks (2017) — 562 citations
- IR-Tree: An Efficient Index for Geographic Document Search (2011) — 303 citations
- Exploiting geographical influence for collaborative point-of-interest recommendation (2011) — 1,157 citations
- Location-based spatial queries (2003) — 327 citations