Khe Chai Sim

Artificial Intelligence · 2010–2025

A researcher in the Science corpus: 18 papers; trusts 186 researchers and is trusted by 49 researchers here, as inferred from the citation graph.

Subfields

Artificial Intelligence — 319 citations into it; #3,575 of 35,345 by trust here, #4,336 by citations
Signal Processing — 245 citations into it; #435 of 7,572 by trust here, #414 by citations
Speech & Audio — 188 citations into it; #724 of 1,076 by trust here, #292 by citations
Natural Language Processing — 83 citations into it
Model Architectures — 43 citations into it
Computer Vision and Pattern Recognition — 40 citations into it; #4,579 of 21,575 by trust here, #11,498 by citations
Representation & Self-Supervised Learning — 40 citations into it
Optimization & Training — 29 citations into it

Whom Khe Chai Sim trusts overall

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

Who trusts Khe Chai Sim overall

Papers from Khe Chai Sim's perspective

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

ImageNet classification with deep convolutional neural networks
Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
Long Short-Term Memory
Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
Attention is All you Need (Neural Information Processing Systems)
Gradient-based learning applied to document recognition
ImageNet: A large-scale hierarchical image database
Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

Multi-Dialect Speech Recognition with a Single Sequence-to-Sequence Model (2017) — 140 citations
Streaming End-to-end Speech Recognition for Mobile Devices (2018) — 676 citations
BigSSL: Exploring the Frontier of Large-Scale Semi-Supervised Learning for Automatic Speech Recognition (2021) — 208 citations
Toward Domain-Invariant Speech Recognition via Large Scale Training (2018) — 114 citations
Comparison of discriminative input and output transformations for speaker adaptation in the hybrid NN/HMM systems (2010) — 187 citations
Efficient Implementation of Recurrent Neural Network Transducer in Tensorflow (2018) — 34 citations
Stimulated Deep Neural Network for Speech Recognition (2016) — 39 citations
Regression-Based Context-Dependent Modeling of Deep Neural Networks for Speech Recognition (2014) — 19 citations
Factorized Hidden Layer Adaptation for Deep Neural Network Based Acoustic Modeling (2016) — 73 citations
Context-dependent modelling of deep neural network using logistic regression (2013) — 4 citations
Joint Unsupervised and Supervised Training for Multilingual ASR (2021) — 66 citations
A Spectral Masking Approach to Noise-Robust Speech Recognition Using Deep Neural Networks (2014) — 52 citations
Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities (2025) — 3,609 citations
Personalization of End-to-End Speech Recognition on Mobile Devices for Named Entities (2019) — 86 citations
An Investigation Into On-device Personalization of End-to-end Automatic Speech Recognition Models (2019) — 65 citations
Domain Adaptation Using Factorized Hidden Layer for Robust Automatic Speech Recognition (2018) — 37 citations
Adaptation of Deep Neural Network Acoustic Models for Robust Automatic Speech Recognition (2017) — 14 citations
Improving the interpretability of deep neural networks with stimulated learning (2015) — 47 citations