Xing Liu

Artificial Intelligence · with Yang · 2021

A researcher in the Science corpus: 3 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 90 citations into it
• Computational Mathematics — 5 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom Xing Liu trusts overall

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

1. Ivan V. Oseledets
2. Udit Gupta
3. Maxim Naumov

Papers from Xing Liu's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Attention is All you Need (Neural Information Processing Systems)
4. Going deeper with convolutions
5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
7. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
8. Language Models are Few-Shot Learners (Neural Information Processing Systems)
9. Gradient-based learning applied to document recognition
10. Long Short-Term Memory

Their papers

• Software-hardware co-design for fast and scalable training of deep learning recommendation models (2021) — 209 citations
• TT-Rec: Tensor Train Compression for Deep Learning Recommendation Models (2021) — 122 citations
• High-performance, Distributed Training of Large-scale Deep Learning Recommendation Models (2021) — 49 citations