List of works - Shuiwang Ji

3D convolutional neural networks for human action recognition

scientific article

A Robust Deep Model for Improved Classification of AD/MCI Patients

scientific article published on 4 May 2015

A bag-of-words approach for Drosophila gene expression pattern annotation

scientific article

A machine learning approach for the identification of protein secondary structure elements from electron cryo-microscopy density maps.

scientific article published on September 2012

A mesh generation and machine learning framework for Drosophila gene expression pattern image analysis

scientific article

A probabilistic latent semantic analysis model for coclustering the mouse brain atlas

scientific article

Adaptive diffusion kernel learning from biological networks for protein function prediction

scientific article

Allen mouse brain atlases reveal different neural connection and gene expression patterns in cerebellum gyri and sulci

scientific article published on 27 June 2014

Automated annotation of Drosophila gene expression patterns using a controlled vocabulary

scientific article published on 16 July 2008

Automated annotation of developmental stages of Drosophila embryos in images containing spatial patterns of expression

scientific article

Automated gene expression pattern annotation in the mouse brain

scientific article published on January 2015

Automated identification of cell-type-specific genes in the mouse brain by image computing of expression patterns

scientific article

Canonical correlation analysis for multilabel classification: a least-squares formulation, extensions, and analysis.

scientific article published in January 2011

ChannelNets: Compact and Efficient Convolutional Neural Networks via Channel-Wise Convolutions ⬇️

scholarly article by Hongyang Gao et al published 2018 in Advances in Neural Information Processing Systems 31

ChannelNets: Compact and Efficient Convolutional Neural Networks via Channel-Wise Convolutions

scientific article published on 24 February 2020

Computational Modeling of Cellular Structures Using Conditional Deep Generative Networks

scientific article published on 01 June 2019

Computational genetic neuroanatomy of the developing mouse brain: dimensionality reduction, visualization, and clustering

scientific article

Computational network analysis of the anatomical and genetic organizations in the mouse brain

scientific article published on 7 October 2011

ConE: Cone Embeddings for Multi-Hop Reasoning over Knowledge Graphs ⬇️

scientific article

Deep Convolutional Neural Networks for Detecting Secondary Structures in Protein Density Maps from Cryo-Electron Microscopy.

scientific article

Deep Learning Segmentation of Optical Microscopy Images Improves 3-D Neuron Reconstruction

scientific article

Deep convolutional neural networks for annotating gene expression patterns in the mouse brain

scientific article published on 7 May 2015

Deep convolutional neural networks for multi-modality isointense infant brain image segmentation

scientific article

Deep learning based imaging data completion for improved brain disease diagnosis

scientific article published on 01 January 2014

Deep models for brain EM image segmentation: novel insights and improved performance

scientific article published on 25 March 2016

DeepEM3D: approaching human-level performance on 3D anisotropic EM image segmentation

scientific article published on 30 March 2017

Drosophila Gene Expression Pattern Annotation Using Sparse Features and Term-Term Interactions

scientific article

Drosophila Gene Expression Pattern Annotation through Multi-Instance Multi-Label Learning ⬇️

scientific article published on January 1, 2009

Drosophila gene expression pattern annotation through multi-instance multi-label learning

2012 scientific article

Feature Selection Based on Structured Sparsity: A Comprehensive Study

scientific article

FlyExpress: visual mining of spatiotemporal patterns for genes and publications in Drosophila embryogenesis

2011 scientific article

Generalized linear discriminant analysis: a unified framework and efficient model selection

scientific article published in October 2008

Global Pixel Transformers for Virtual Staining of Microscopy Images

scientific article published on 21 January 2020

Global analysis of gene expression and projection target correlations in the mouse brain

scientific article published on 20 March 2015

High-resolution prediction of mouse brain connectivity using gene expression patterns

scientific article published on 7 August 2014

Image-level and group-level models for Drosophila gene expression pattern annotation

scientific article

Integrative analysis of the connectivity and gene expression atlases in the mouse brain

scientific article published on September 2013

Interpreting Image Classifiers by Generating Discrete Masks

scientific article published on 06 October 2020

Large-scale Exploration of Neuronal Morphologies Using Deep Learning and Augmented Reality

scientific article published on 12 February 2018

Learning sparse representations for fruit-fly gene expression pattern image annotation and retrieval

scientific article

Multi-label Multiple Kernel Learning ⬇️

Neuronal Activities in the Mouse Visual Cortex Predict Patterns of Sensory Stimuli

scientific article published on 5 February 2018

Noise2Same: Optimizing A Self-Supervised Bound for Image Denoising ⬇️

scientific article published in November 2020

Pixel Transposed Convolutional Networks

scientific article published on 18 January 2019

Residual Deconvolutional Networks for Brain Electron Microscopy Image Segmentation

scientific article published on 23 September 2016

Second-Order Pooling for Graph Neural Networks

scientific article published on 01 June 2020

Three-dimensional protein shape similarity analysis based on hybrid features

scientific article published on 21 April 2018

Trace Norm Regularization: Reformulations, Algorithms, and Multi-Task Learning

scholarly article by Ting Kei Pong et al published January 2010 in SIAM Journal on Optimization

Voxel Deconvolutional Networks for 3D Brain Image Labeling

scientific article published on 01 August 2018

List of works by Shuiwang Ji

3D convolutional neural networks for human action recognition

A Robust Deep Model for Improved Classification of AD/MCI Patients

A bag-of-words approach for Drosophila gene expression pattern annotation

A machine learning approach for the identification of protein secondary structure elements from electron cryo-microscopy density maps.

A mesh generation and machine learning framework for Drosophila gene expression pattern image analysis

A probabilistic latent semantic analysis model for coclustering the mouse brain atlas

Adaptive diffusion kernel learning from biological networks for protein function prediction

Allen mouse brain atlases reveal different neural connection and gene expression patterns in cerebellum gyri and sulci

Automated annotation of Drosophila gene expression patterns using a controlled vocabulary

Automated annotation of developmental stages of Drosophila embryos in images containing spatial patterns of expression

Automated gene expression pattern annotation in the mouse brain

Automated identification of cell-type-specific genes in the mouse brain by image computing of expression patterns

Canonical correlation analysis for multilabel classification: a least-squares formulation, extensions, and analysis.

ChannelNets: Compact and Efficient Convolutional Neural Networks via Channel-Wise Convolutions ⬇️

ChannelNets: Compact and Efficient Convolutional Neural Networks via Channel-Wise Convolutions

Computational Modeling of Cellular Structures Using Conditional Deep Generative Networks

Computational genetic neuroanatomy of the developing mouse brain: dimensionality reduction, visualization, and clustering

Computational network analysis of the anatomical and genetic organizations in the mouse brain

ConE: Cone Embeddings for Multi-Hop Reasoning over Knowledge Graphs ⬇️

Deep Convolutional Neural Networks for Detecting Secondary Structures in Protein Density Maps from Cryo-Electron Microscopy.

Deep Learning Segmentation of Optical Microscopy Images Improves 3-D Neuron Reconstruction

Deep convolutional neural networks for annotating gene expression patterns in the mouse brain

Deep convolutional neural networks for multi-modality isointense infant brain image segmentation

Deep learning based imaging data completion for improved brain disease diagnosis

Deep models for brain EM image segmentation: novel insights and improved performance

DeepEM3D: approaching human-level performance on 3D anisotropic EM image segmentation

Drosophila Gene Expression Pattern Annotation Using Sparse Features and Term-Term Interactions

Drosophila Gene Expression Pattern Annotation through Multi-Instance Multi-Label Learning ⬇️

Drosophila gene expression pattern annotation through multi-instance multi-label learning

Feature Selection Based on Structured Sparsity: A Comprehensive Study

FlyExpress: visual mining of spatiotemporal patterns for genes and publications in Drosophila embryogenesis

Generalized linear discriminant analysis: a unified framework and efficient model selection

Global Pixel Transformers for Virtual Staining of Microscopy Images

Global analysis of gene expression and projection target correlations in the mouse brain

High-resolution prediction of mouse brain connectivity using gene expression patterns

Image-level and group-level models for Drosophila gene expression pattern annotation

Integrative analysis of the connectivity and gene expression atlases in the mouse brain

Interpreting Image Classifiers by Generating Discrete Masks

Large-scale Exploration of Neuronal Morphologies Using Deep Learning and Augmented Reality

Learning sparse representations for fruit-fly gene expression pattern image annotation and retrieval

Multi-label Multiple Kernel Learning ⬇️

Neuronal Activities in the Mouse Visual Cortex Predict Patterns of Sensory Stimuli

Noise2Same: Optimizing A Self-Supervised Bound for Image Denoising ⬇️

Pixel Transposed Convolutional Networks

Residual Deconvolutional Networks for Brain Electron Microscopy Image Segmentation

Second-Order Pooling for Graph Neural Networks

Three-dimensional protein shape similarity analysis based on hybrid features

Trace Norm Regularization: Reformulations, Algorithms, and Multi-Task Learning

Voxel Deconvolutional Networks for 3D Brain Image Labeling