Citation Impact
Citing Papers
Tensor decompositions for learning latent variable models
2014 Standout
Hyperband: a novel bandit-based approach to hyperparameter optimization
2017
Visualizing Data using t-SNE
2008 StandoutNobel
Spectral Learning of General Weighted Automata via Constrained Matrix Completion
2012
Quadratic Weighted Automata: Spectral Algorithm and Likelihood Maximization
2011
Transfer learning via dimensionality reduction
2008
Information Retrieval Perspective to Nonlinear Dimensionality Reduction for Data Visualization
2010
A kernel two-sample test
2012
Graph neural networks: A review of methods and applications
2020 Standout
Improved gRNA secondary structures allow editing of target sites resistant to CRISPR-Cas9 cleavage
2022 StandoutNobel
A review of uncertainty quantification in deep learning: Techniques, applications and challenges
2021 Standout
Clinical-grade computational pathology using weakly supervised deep learning on whole slide images
2019 Standout
Inferring multimodal latent topics from electronic health records
2020
Microstructural damage sensitivity prediction using spatial statistics
2019
Graph mining: procedure, application to drug discovery and recent advances
2012
Strategies for improving the sustainability of structural metals
2019 StandoutNature
Foundation models for generalist medical artificial intelligence
2023 StandoutNature
Dermatologist-level classification of skin cancer with deep neural networks
2017 StandoutNature
Human-level control through deep reinforcement learning
2015 StandoutNatureNobel
Investigating the emerging COVID-19 research trends in the field of business and management: A bibliometric analysis approach
2020 Standout
Optimized CRISPR guide RNA design for two high-fidelity Cas9 variants by deep learning
2019
Hybrid computing using a neural network with dynamic external memory
2016 StandoutNatureNobel
AI in health and medicine
2022 Standout
xCell: digitally portraying the tissue cellular heterogeneity landscape
2017 Standout
Domain Adaptation via Transfer Component Analysis
2010
Simultaneous epitope and transcriptome measurement in single cells
2017 Standout
Dictionary learning for integrative, multimodal and scalable single-cell analysis
2023 Standout
Highly Parallel Genome-wide Expression Profiling of Individual Cells Using Nanoliter Droplets
2015 Standout
Language models are an effective representation learning technique for electronic health record data
2020
Cellpose: a generalist algorithm for cellular segmentation
2020 Standout
Representation Learning: A Review and New Perspectives
2013 Standout
Dimensionality reduction for visualizing single-cell data using UMAP
2018 Standout
Droplet Barcoding for Single-Cell Transcriptomics Applied to Embryonic Stem Cells
2015 Standout
Distinct Cellular Mechanisms Underlie Anti-CTLA-4 and Anti-PD-1 Checkpoint Blockade
2017 StandoutNobel
Graph WaveNet for Deep Spatial-Temporal Graph Modeling
2019 Standout
Explainable Machine Learning for Scientific Insights and Discoveries
2020
Tensor Decomposition for Signal Processing and Machine Learning
2017 Standout
Graph Neural Networks: A Review of Methods and Applications
2018
Deep Learning Approach for Intelligent Intrusion Detection System
2019 Standout
pkCSM: Predicting Small-Molecule Pharmacokinetic and Toxicity Properties Using Graph-Based Signatures
2015 Standout
Unveiling the predictive power of static structure in glassy systems
2020 StandoutNobel
Transfer Learning by Structural Analogy
2011
Local Loss Optimization in Operator Models: A New Insight into Spectral Learning
2012
Independent component analysis: recent advances
2013
Past, present, and future of simultaneous localization and mapping: Toward the robust-perception age
2016 Standout
Deep Residual Shrinkage Networks for Fault Diagnosis
2019 Standout
Comparison of biomedical relationship extraction methods and models for knowledge graph creation
2022
A Comprehensive Survey on Transfer Learning
2020 Standout
LORM: Learning to Optimize for Resource Management in Wireless Networks With Few Training Samples
2019
A survey on Image Data Augmentation for Deep Learning
2019 Standout
Optimization problems for machine learning: A survey
2020
Knowledge Distillation: A Survey
2021 Standout
An intelligent fault diagnosis approach based on transfer learning from laboratory bearings to locomotive bearings
2019 Standout
Human-level performance in 3D multiplayer games with population-based reinforcement learning
2019 StandoutScienceNobel
Learned protein embeddings for machine learning
2018 StandoutNobel
Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications
2021 Standout
Tensor Decompositions for Signal Processing Applications: From two-way to multiway component analysis
2015 Standout
Acquisition of chess knowledge in AlphaZero
2022 StandoutNobel
Geometric Deep Learning: Going beyond Euclidean data
2017 Standout
Learning Domain-Invariant Subspace Using Domain Features and Independence Maximization
2017
STRING v11: protein–protein association networks with increased coverage, supporting functional discovery in genome-wide experimental datasets
2018 Standout
Benefits, Limits, and Risks of GPT-4 as an AI Chatbot for Medicine
2023 Standout
On hyperparameter optimization of machine learning algorithms: Theory and practice
2020 Standout
Deep learning and its applications to machine health monitoring
2018 Standout
Multiscale Convolutional Neural Networks for Fault Diagnosis of Wind Turbine Gearbox
2018 Standout
An Online Spectral Learning Algorithm for Partially Observable Nonlinear Dynamical Systems
2011
A Survey on Transfer Learning
2009 Standout
Task-Oriented Communication for Multidevice Cooperative Edge Inference
2022
Visualizing non-metric similarities in multiple maps
2011 StandoutNobel
Semi-Supervised Kernel Matching for Domain Adaptation
2021
Deep Learning for Generic Object Detection: A Survey
2019 Standout
Supervised principal component analysis: Visualization, classification and regression on subspaces and submanifolds
2010
Doctor XAI
2020
Machine learning for combinatorial optimization: A methodological tour d'horizon
2021
Feature Space Independent Semi-Supervised Domain Adaptation via Kernel Matching
2014
A survey of transfer learning
2016 Standout
Molecular Origin of Blood‐Based Infrared Spectroscopic Fingerprints**
2021 StandoutNobel
Efficient Low-Resolution Face Recognition via Bridge Distillation
2020
A Survey on Knowledge Graphs: Representation, Acquisition, and Applications
2021 Standout
A spectral algorithm for learning Hidden Markov Models
2012
Works of Le Song being referenced
Learning Steady-States of Iterative Algorithms over Graphs
2018
Syntax-Directed Variational Autoencoder for Structured Data
2018
A Kernel Statistical Test of Independence
2007
Stochastic Training of Graph Convolutional Networks with Variance Reduction
2018
Colored Maximum Variance Unfolding
2007
Deep Hyperspherical Learning
2017
A Spectral Algorithm for Latent Tree Graphical Models
2011
Kernelized Sorting
2008
Kernelized Sorting
2009
Discriminative frequent subgraph mining with optimality guarantees
2010
GeniePath: Graph Neural Networks with Adaptive Receptive Paths
2019
GRAM
2017
Least Squares Revisited: Scalable Approaches for Multi-class Prediction
2013
Learning to Branch in Mixed Integer Programming
2016
Material structure-property linkages using three-dimensional convolutional neural networks
2017
Variational Reasoning for Question Answering With Knowledge Graph
2018
Learning to Stop While Learning to Predict
2020
Hilbert Space Embeddings of Hidden Markov Models
2018
Efficient Probabilistic Logic Reasoning with Graph Neural Networks
2020