Kai Yu

Artificial Intelligence · 25 papers · 2009–2022

A researcher in the Science corpus: 25 papers; trusts 399 researchers and is trusted by 26 researchers here, as inferred from the citation graph.

Subfields

Artificial Intelligence — 285 citations into it; #7,616 of 35,345 by trust here, #4,205 by citations
Natural Language Processing — 152 citations into it; #1,882 of 5,688 by trust here, #1,518 by citations
Signal Processing — 97 citations into it; #2,479 of 7,572 by trust here, #1,255 by citations
Computer Vision and Pattern Recognition — 85 citations into it
Speech & Audio — 65 citations into it; #661 of 1,076 by trust here, #642 by citations
Model Architectures — 41 citations into it; #1,748 of 2,278 by trust here, #1,794 by citations
Reinforcement Learning — 37 citations into it
Evaluation & Benchmarks — 26 citations into it

Whom Kai Yu trusts overall

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

Who trusts Kai Yu overall

Papers from Kai Yu's perspective

Ordered by how strongly the researchers Kai Yu 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
Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
Attention is All you Need (Neural Information Processing Systems)
Long Short-Term Memory
Gradient-based learning applied to document recognition
Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
ImageNet: A large-scale hierarchical image database
Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

The Hidden Information State model: A practical framework for POMDP-based spoken dialogue management (2010) — 538 citations
On-line policy optimisation of spoken dialogue systems via live interaction with human subjects (2011) — 85 citations
Very Deep Convolutional Neural Networks for Noise Robust Speech Recognition (2016) — 332 citations
Schema-Guided Multi-Domain Dialogue State Tracking with Graph Attention Neural Networks (2020) — 144 citations
Unsupervised training and directed manual transcription for LVCSR (2010) — 80 citations
On training bi-directional neural network language model with noise contrastive estimation (2016) — 18 citations
Line Graph Enhanced AMR-to-Text Generation with Mix-Order Graph Attention Networks (2020) — 31 citations
Knowledge Distillation for Sequence Model (2018) — 70 citations
Reshaping deep neural network for fast decoding by node-pruning (2014) — 121 citations
Data Augmentation with Atomic Templates for Spoken Language Understanding (2019) — 29 citations
Spoken language understanding from unaligned data using discriminative classification models (2009) — 117 citations
Semantic Parsing with Dual Learning (2019) — 65 citations
Unsupervised Adaptation With Discriminative Mapping Transforms (2009) — 21 citations
Cluster adaptive training for deep neural network (2015) — 75 citations
WebSRC: A Dataset for Web-Based Structural Reading Comprehension (2021) — 123 citations
What Does the Speaker Embedding Encode? (2017) — 61 citations
Unsupervised Word-Level Prosody Tagging for Controllable Speech Synthesis (2022) — 16 citations
Feature Extraction (2021) — 313 citations
Mixture Density Network for Phone-Level Prosody Modelling in Speech Synthesis (2021) — 8 citations
Distributed Structured Actor-Critic Reinforcement Learning for Universal Dialogue Management (2020) — 22 citations