Xuechen Liu
Artificial Intelligence · 2018–2022
A researcher in the Science corpus: 5 papers; trusts 15 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 62 citations into it; #34,997 of 35,345 by trust here, #20,836 by citations
- Signal Processing — 55 citations into it; #7,523 of 7,572 by trust here, #4,373 by citations
- Speech & Audio — 24 citations into it
- Computer Vision and Pattern Recognition — 9 citations into it
- Model Architectures — 6 citations into it
- Efficiency & Compression — 5 citations into it
- Representation & Self-Supervised Learning — 5 citations into it
Whom Xuechen Liu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Daniel Povey
- Tomi H. Kinnunen
- Junichi Yamagishi
- Geoffrey E. Hinton
- Gautham J. Mysore
- Vijayaditya Peddinti
- David Snyder
- Hemlata Tak
- Xin Eric Wang
- Florin Curelaru
Who trusts Xuechen Liu overall
Papers from Xuechen Liu's perspective
Ordered by how strongly the researchers Xuechen Liu 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
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Distilling the Knowledge in a Neural Network (arXiv.org)
Their papers
- ASVspoof 2021: Towards Spoofed and Deepfake Speech Detection in the Wild (2022) — 398 citations
- ASVspoof 2021: Automatic Speaker Verification Spoofing and Countermeasures Challenge Evaluation Plan (2021) — 91 citations
- ASVspoof 2021: accelerating progress in spoofed and deepfake speech detection (2021) — 541 citations
- AISHELL-2: Transforming Mandarin ASR Research Into Industrial Scale (2018) — 368 citations
- Teacher-Student Training for Text-Independent Speaker Recognition (2018) — 15 citations