Yanchi Liu

Artificial Intelligence · 2010–2019

A researcher in the Science corpus: 8 papers; trusts 6 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 59 citations into it
• Information Systems — 54 citations into it
• Signal Processing — 25 citations into it; #5,603 of 7,572 by trust here, #3,428 by citations
• Transportation — 23 citations into it; #946 of 2,062 by trust here, #359 by citations

Whom Yanchi Liu trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Peter J. Rousseeuw
2. Anil K. Jain
3. Maria Halkidi
4. Martin Ester
5. Chet Langin
6. Yu Zheng
7. Robert Tibshirani
8. Jing Yuan
9. Geoffrey E. Hinton
10. Steffen Rendle

Who trusts Yanchi Liu overall

1. Yu Zheng
2. Deng Cai
3. Xavier Favory
4. Mayra Zegarra Rodriguez
5. Xinlei Chen
6. Frederic Font
7. Lijun Sun
8. Bei Pan
9. Raghu Kiran Ganti
10. Shoujin Wang

Papers from Yanchi Liu's perspective

Ordered by how strongly the researchers Yanchi Liu trusts endorse each paper. Same corpus, a different order for every researcher.

1. Long Short-Term Memory
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Attention is All you Need (Neural Information Processing Systems)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Going deeper with convolutions

Their papers

• Understanding and Enhancement of Internal Clustering Validation Measures (2013) — 321 citations
• Graph Contextualized Self-Attention Network for Session-based Recommendation (2019) — 703 citations
• Feature-level Deeper Self-Attention Network for Sequential Recommendation (2019) — 458 citations
• Where to Go Next: A Spatio-Temporal Gated Network for Next POI Recommendation (2019) — 478 citations
• Sequential Recommender System based on Hierarchical Attention Networks (2018) — 423 citations
• Diagnosing New York city's noises with ubiquitous data (2014) — 227 citations
• Urban computing with taxicabs (2011) — 555 citations
• Understanding of Internal Clustering Validation Measures (2010) — 1,014 citations