Xue Jiang
Signal Processing · with Lu · 2022
A researcher in the Science corpus: 3 papers; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Signal Processing — 49 citations into it
- Speech & Audio — 33 citations into it
- Artificial Intelligence — 32 citations into it
- Computer Vision and Pattern Recognition — 22 citations into it
- Representation & Self-Supervised Learning — 7 citations into it
- Computational Mechanics — 6 citations into it
Whom Xue Jiang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jean-Marc Valin
- Aäron van den Oord
- Ashutosh Pandey
- Geoffrey E. Hinton
- Alexei Baevski
- Oriol Vinyals
- Deliang Wang
- Jan Skoglund
- W. Kleijn
- L. V. D. van der Maaten
Who trusts Xue Jiang overall
Papers from Xue Jiang's perspective
Ordered by how strongly the researchers Xue Jiang trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- Disentangled Feature Learning for Real-Time Neural Speech Coding (2022) — 22 citations
- End-to-End Neural Speech Coding for Real-Time Communications (2022) — 39 citations
- Cross-Scale Vector Quantization for Scalable Neural Speech Coding (2022) — 12 citations