Shuiwang Ji

发表

Mining discrete patterns via binary matrix factorization

Jieping Ye, Bao-Hong Shen, Shuiwang Ji, 2009, KDD.

3D Convolutional Neural Networks for Human Action Recognition

Ming Yang, Shuiwang Ji, Wei Xu, 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Learning Local and Global Multi-context Representations for Document Classification

Hao Yuan, Shuiwang Ji, Yi Liu, 2019, 2019 IEEE International Conference on Data Mining (ICDM).

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

Andrey N. Chernikov, Daming Feng, Shuiwang Ji, 2013, BMC Bioinformatics.

Recurrent Encoder-Decoder Networks for Time-Varying Dense Prediction

Jiayu Zhou, Ian Davidson, Bian Wu, 2017, 2017 IEEE International Conference on Data Mining (ICDM).

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

Shuiwang Ji, Wenlu Zhang, Dinggang Shen, 2015, NeuroImage.

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

Shaoting Zhang, Kang Li, Shuiwang Ji, 2018, Neuroinformatics.

A Probabilistic Latent Semantic Analysis Model for Coclustering the Mouse Brain Atlas

Shuiwang Ji, Wenlu Zhang, Rongjian Li, 2013, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Evolutionary soft co-clustering: formulations, algorithms, and applications

Andrey N. Chernikov, Daming Feng, Shuiwang Ji, 2015, Data Mining and Knowledge Discovery.

Finite Domain Constraint Solver Learning

Jieping Ye, Shuiwang Ji, Liang Sun, 2009, IJCAI.

An Interpretable Neural Model with Interactive Stepwise Influence

James Caverlee, Shuiwang Ji, Xia Hu, 2019, PAKDD.

Parallel Lasso Screening for Big Data Optimization

Paul M. Thompson, Qingyang Li, Jieping Ye, 2016, KDD.

Efficient and Invariant Convolutional Neural Networks for Dense Prediction

Shuiwang Ji, Hongyang Gao, 2017, 2017 IEEE International Conference on Data Mining (ICDM).

Learning subspace kernels for classification

Jieping Ye, Jianhui Chen, Qi Li, 2008, KDD.

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

Sethuraman Panchanathan, Jieping Ye, Shuiwang Ji, 2011, Bioinform..

Explainability in Graph Neural Networks: A Taxonomic Survey pdf

Shuiwang Ji, Haiyang Yu, Hao Yuan, 2020, ArXiv.

Non-Local Graph Neural Networks pdf

Shuiwang Ji, Meng Liu, Zhengyang Wang, 2020, ArXiv.

Multi-Stage Variational Auto-Encoders for Coarse-to-Fine Image Generation

Shuiwang Ji, Lei Cai, Hongyang Gao, 2017, SDM.

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

Shuiwang Ji, Wenlu Zhang, Rongjian Li, 2014, BMC Bioinformatics.

Discriminant sparse neighborhood preserving embedding for face recognition

Wei Jia, Zhenan Sun, Jie Gui, 2012, Pattern Recognit..

Adversarial Attacks and Defenses on Graphs

Charu Aggarwal, Shuiwang Ji, Jiliang Tang, 2021, SIGKDD Explor..

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

Hanchuan Peng, Shuiwang Ji, Tao Zeng, 2015, Brain Informatics.

An Efficient Policy Gradient Method for Conditional Dialogue Generation

Shuiwang Ji, Lei Cai, Shuiwang Ji, 2019, 2019 IEEE International Conference on Data Mining (ICDM).

A Multi-Scale Approach for Graph Link Prediction

Shuiwang Ji, Lei Cai, Shuiwang Ji, 2020, AAAI.

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

Shuiwang Ji, Houtao Deng, Ahmed Fakhry, 2014, NeuroImage.

Drosophila gene expression pattern annotation using sparse features and term-term interactions

Jieping Ye, Zhi-Hua Zhou, Ying-Xin Li, 2009, KDD.

Learning Sparse Representations for Fruit-Fly Gene Expression Pattern Image Annotation and Retrieval

Jieping Ye, Zhi-Hua Zhou, Yuan Jiang, 2012, BMC Bioinformatics.

Line Graph Neural Networks for Link Prediction pdf

Jie Wang, Shuiwang Ji, Jundong Li, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Deep Neural Networks with Knowledge Instillation

Fan Yang, Shuiwang Ji, Xia Hu, 2020, SDM.

Multi-Label Dimensionality Reduction (Chapman & Hall/CRC Machine Learning & Pattern Recognition)

Jieping Ye, Liang Sun, Shuiwang Ji, 2011 .

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

Jieping Ye, Zhi-Hua Zhou, Ying-Xin Li, 2009, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Deep Adversarial Learning for Multi-Modality Missing Data Completion

Dinggang Shen, Zhengyang Wang, Shuiwang Ji, 2018, KDD.

Pixel Transposed Convolutional Networks

Zhengyang Wang, Hao Yuan, Shuiwang Ji, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Multi-Modality Disease Modeling via Collective Deep Matrix Factorization

Jiayu Zhou, Qi Wang, Shuiwang Ji, 2017, KDD.

Discriminant kernel and regularization parameter learning via semidefinite programming

Jieping Ye, Jianhui Chen, Shuiwang Ji, 2007, ICML '07.

Global voxel transformer networks for augmented microscopy pdf

Shuiwang Ji, Zhengyang Wang, Yaochen Xie, 2020, Nature Machine Intelligence.

Demographic Prediction of Mobile User from Phone Usage

Michele C. Weigle, Tamer Nadeem, Shuiwang Ji, 2012 .

Augmented Equivariant Attention Networks for Electron Microscopy Image Super-Resolution pdf

Shuiwang Ji, Yu Ding, Yaochen Xie, 2020, ArXiv.

Dense Transformer Networks pdf

Jun Li, Ian Davidson, Shuiwang Ji, 2017, ArXiv.

XGNN: Towards Model-Level Explanations of Graph Neural Networks

Shuiwang Ji, Jiliang Tang, Xia Hu, 2020, KDD.

Machine Learning Explanations to Prevent Overtrust in Fake News Detection pdf

Fan Yang, Shuiwang Ji, Xia Hu, 2020, ArXiv.

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

Jieping Ye, Zhi-Hua Zhou, Ying-Xin Li, 2009, BMC Bioinformatics.

A shared-subspace learning framework for multi-label classification

Jieping Ye, Lei Tang, Shuiwang Ji, 2010, TKDD.

Spatial Variational Auto-Encoding via Matrix-Variate Normal Distributions

Zhengyang Wang, Hao Yuan, Shuiwang Ji, 2017, SDM.

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

Shuiwang Ji, Tao Zeng, Hanchuan Peng, 2017, IEEE Transactions on Medical Imaging.

Multi-Task Feature Interaction Learning

Jiayu Zhou, Jianpeng Xu, Shuiwang Ji, 2016, KDD.

Deep Model Based Transfer and Multi-Task Learning for Biological Image Analysis

Jieping Ye, Shuiwang Ji, Tao Zeng, 2020, IEEE Transactions on Big Data.

Interpreting Deep Models for Text Analysis via Optimization and Regularization Methods

Yongjun Chen, Hao Yuan, Shuiwang Ji, 2019, AAAI.

A sparsity-inducing formulation for evolutionary co-clustering

Shuiwang Ji, Jun Liu, Wenlu Zhang, 2012, KDD.

A Deep Learning Approach for Targeted Contrast-Enhanced Ultrasound Based Prostate Cancer Detection

Fengbo Ren, Shuiwang Ji, Xichuan Zhou, 2019, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Computational analysis of drosophila gene expression pattern images

Jieping Ye, Shuiwang Ji, 2010 .

Topology-Aware Pooling via Graph Attention

Shuiwang Ji, Hongyang Gao, 2019 .

Deep Convolutional Neural Networks for Multi-instance Multi-task Learning

Shuiwang Ji, Tao Zeng, 2015, 2015 IEEE International Conference on Data Mining.

Graph Representation Learning via Hard and Channel-Wise Attention Networks

Shuiwang Ji, Hongyang Gao, Shuiwang Ji, 2019, KDD.

MoleculeKit: Machine Learning Methods for Molecular Property Prediction and Drug Discovery pdf

Shuiwang Ji, Zhao Xu, Lei Cai, 2020, ArXiv.

Deep Model Based Transfer and Multi-Task Learning for Biological Image Analysis

Jieping Ye, Qian Sun, Shuiwang Ji, 2015, IEEE Transactions on Big Data.

XFake: Explainable Fake News Detector with Visualizations

Fan Yang, Hao Yuan, Eric D. Ragan, 2019, WWW.

An accelerated gradient method for trace norm minimization

Jieping Ye, Shuiwang Ji, Jieping Ye, 2009, ICML '09.

A Deep Transfer Learning Approach for Improved Post-Traumatic Stress Disorder Diagnosis

Jiang Li, Roger Xu, Gang Mei, 2017, 2017 IEEE International Conference on Data Mining (ICDM).

Automated Gene Expression Pattern Annotation in the Mouse Brain

Jieping Ye, Shuiwang Ji, Tao Zeng, 2014, Pacific Symposium on Biocomputing.

Learning Convolutional Text Representations for Visual Question Answering

Zhengyang Wang, Shuiwang Ji, Shuiwang Ji, 2017, SDM.

Discriminant Analysis for Dimensionality Reduction: An Overview of Recent Developments

Jieping Ye, Shuiwang Ji, Jieping Ye, 2010 .

Collaborative Multi-View Denoising

Dinggang Shen, Lei Zhang, Yong Wang, 2016, KDD.

A deep transfer learning approach for improved post-traumatic stress disorder diagnosis

Jiang Li, Cai Lei, Roger Xu, 2017, 2017 IEEE International Conference on Data Mining (ICDM).

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

Shuiwang Ji, 2013, BMC Bioinformatics.

Deep Learning Based Imaging Data Completion for Improved Brain Disease Diagnosis

Dinggang Shen, Jiang Li, Heung-Il Suk, 2014, MICCAI.

SLEP: Sparse Learning with Efficient Projections

Shuiwang Ji, Jun Liu, Jieping Ye, 2011 .

Extracting shared subspace for multi-label classification

Jieping Ye, Lei Tang, Shuiwang Ji, 2008, KDD.

Hypergraph spectral learning for multi-label classification

Jieping Ye, Liang Sun, Shuiwang Ji, 2008, KDD.

Multi-View Missing Data Completion

Dinggang Shen, Zhenfeng Zhu, Shuiwang Ji, 2018, IEEE Transactions on Knowledge and Data Engineering.

Interpreting Image Classifiers by Generating Discrete Masks

Jie Wang, Shuiwang Ji, Xia Hu, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Sparsity Learning Formulations for Mining

Yao Zhao, Zhenfeng Zhu, Shuiwang Ji, 2015 .

How to Estimate the Regularization Parameter for Spectral Regression Discriminant Analysis and its Kernel Version?

Xindong Wu, Zhenan Sun, Jie Gui, 2014, IEEE Transactions on Circuits and Systems for Video Technology.

Pixel Deconvolutional Networks pdf

Zhengyang Wang, Hao Yuan, Shuiwang Ji, 2017, ArXiv.

Sparsity Learning Formulations for Mining Time-Varying Data

Yao Zhao, Zhenfeng Zhu, Shuiwang Ji, 2015, IEEE Transactions on Knowledge and Data Engineering.

Learning Hierarchical and Shared Features for Improving 3D Neuron Reconstruction

Hao Yuan, Shuiwang Ji, Hanchuan Peng, 2019, 2019 IEEE International Conference on Data Mining (ICDM).

Global Pixel Transformers for Virtual Staining of Microscopy Images

Shuiwang Ji, Yi Liu, Hao Yuan, 2019, IEEE Transactions on Medical Imaging.

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

Bian Wu, Shuiwang Ji, Tao Zeng, 2017, Bioinform..

Multi-class Discriminant Kernel Learning via Convex Programming

Jieping Ye, Jianhui Chen, Shuiwang Ji, 2008, J. Mach. Learn. Res..

Multi-label Multiple Kernel Learning

Jieping Ye, Rong Jin, Liang Sun, 2008, NIPS.

Adaptive diffusion kernel learning from biological networks for protein function prediction

Jieping Ye, Liang Sun, Shuiwang Ji, 2008, BMC Bioinformatics.

Deep Learning of High-Order Interactions for Protein Interface Prediction

Shuiwang Ji, Yi Liu, Lei Cai, 2020, KDD.

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

Jieping Ye, Ravi Mukkamala, Shuiwang Ji, 2015, BMC Bioinformatics.

Voxel Deconvolutional Networks for 3D Brain Image Labeling

Dinggang Shen, Shuiwang Ji, Min Shi, 2018, KDD.

Dense Transformer Networks for Brain Electron Microscopy Image Segmentation

Yongjun Chen, Ian Davidson, Shuiwang Ji, 2019, IJCAI.

Robust Deep Learning for Improved Classification of AD/MCI Patients

Dinggang Shen, Jiang Li, Feng Li, 2014, MLMI.

Smoothed dilated convolutions for improved dense prediction

Zhengyang Wang, Shuiwang Ji, Shuiwang Ji, 2018, Data Mining and Knowledge Discovery.

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

Hanchuan Peng, Shuiwang Ji, Ahmed Fakhry, 2016, Bioinform..

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

Jieping Ye, Qian Sun, Shuiwang Ji, 2013, BMC Bioinformatics.

Learning the kernel matrix in discriminant analysis via quadratically constrained quadratic programming

Jieping Ye, Jianhui Chen, Shuiwang Ji, 2007, KDD '07.

CorDEL: A Contrastive Deep Learning Approach for Entity Linkage pdf

Shuiwang Ji, Xin Luna Dong, Bunyamin Sisman, 2020, 2020 IEEE International Conference on Data Mining (ICDM).

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

Shuiwang Ji, Shuiwang Ji, 2011, Bioinform..

Learning Graph Pooling and Hybrid Convolutional Operations for Text Representations

Yongjun Chen, Shuiwang Ji, Hongyang Gao, 2019, WWW.

Global Transformer U-Nets for Label-Free Prediction of Fluorescence Images pdf

Zhengyang Wang, Hao Yuan, Shuiwang Ji, 2019, ArXiv.

Detecting Human Actions in Surveillance Videos

Ming Yang, Yihong Gong, Thomas S. Huang, 2009, TRECVID.

Kronecker Attention Networks

Shuiwang Ji, Hongyang Gao, Zhengyang Wang, 2020, KDD.

Large-Scale Learnable Graph Convolutional Networks

Zhengyang Wang, Shuiwang Ji, Hongyang Gao, 2018, KDD.

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

Paul Tseng, Jieping Ye, Shuiwang Ji, 2010, SIAM J. Optim..

Residual Deconvolutional Networks for Brain Electron Microscopy Image Segmentation

Shuiwang Ji, Tao Zeng, Ahmed Fakhry, 2017, IEEE Transactions on Medical Imaging.

Towards Deeper Graph Neural Networks

Shuiwang Ji, Meng Liu, Hongyang Gao, 2020, KDD.

Jieping Ye, Shuiwang Ji, Jieping Ye, 2008, IEEE Transactions on Knowledge and Data Engineering.

A Multi-Stage Attentive Transfer Learning Framework for Improving COVID-19 Diagnosis pdf

Shuiwang Ji, Yi Liu, Shuiwang Ji, 2021, ArXiv.

Adaptive Convolutional ReLUs

Shuiwang Ji, Lei Cai, Hongyang Gao, 2020, AAAI.

CleftNet: Augmented Deep Learning for Synaptic Cleft Detection From Brain Electron Microscopy pdf

Shuiwang Ji, Yi Liu, Shuiwang Ji, 2021, IEEE Transactions on Medical Imaging.

Computational modeling of cellular structures using conditional deep generative networks

Zhengyang Wang, Hao Yuan, Shuiwang Ji, 2018, Bioinform..

Deep Low-Shot Learning for Biological Image Classification and Visualization From Limited Training Samples pdf

Shuiwang Ji, Lei Cai, Sudhir Kumar, 2020, IEEE Transactions on Neural Networks and Learning Systems.

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

Cheng Pan, Jieping Ye, Zhi-Hua Zhou, 2013, Bioinform..

Multiview Partitioning via Tensor Methods

Bart De Moor, Wolfgang Glänzel, Shuiwang Ji, 2013, IEEE Transactions on Knowledge and Data Engineering.

On Attribution of Recurrent Neural Network Predictions via Additive Decomposition

Fan Yang, Shuiwang Ji, Xia Hu, 2019, WWW.

Canonical Correlation Analysis for Multilabel Classification: A Least-Squares Formulation, Extensions, and Analysis

Jieping Ye, Liang Sun, Shuiwang Ji, 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Structural Graphical Lasso for Learning Mouse Brain Connectivity

Jieping Ye, Qian Sun, Ian Davidson, 2015, KDD.

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

Shuiwang Ji, Yaochen Xie, Zhengyang Wang, 2020, NeurIPS.

Joint Dimensionality Reduction and Classification

Shuiwang Ji, Jieping Ye, Liang Sun, 2016 .

A unified framework for generalized Linear Discriminant Analysis

Jieping Ye, Shuiwang Ji, 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

Towards Improved and Interpretable Deep Metric Learning via Attentive Grouping pdf

Shuiwang Ji, Zhangyang Wang, Xinyi Xu, 2020, ArXiv.

iCapsNets: Towards Interpretable Capsule Networks for Text Classification pdf

Shuiwang Ji, Xia Hu, Zhengyang Wang, 2020, ArXiv.

Second-Order Pooling for Graph Neural Networks

Shuiwang Ji, Zhengyang Wang, Shuiwang Ji, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.

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

Bian Wu, Shuiwang Ji, Lei Cai, 2018, Neuroinformatics.

A least squares formulation for canonical correlation analysis

Jieping Ye, Liang Sun, Shuiwang Ji, 2008, ICML '08.

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS Publication Information

Michael J. Watts, Haibo He, Giorgio Battistelli, 2020, IEEE Transactions on Neural Networks and Learning Systems.

Advanced Graph and Sequence Neural Networks for Molecular Property Prediction and Drug Discovery.

Shuiwang Ji, Zhao Xu, Lei Cai, 2020, Bioinformatics.

Global Deep Learning Methods for Multimodality Isointense Infant Brain Image Segmentation pdf

Dinggang Shen, Zhengyang Wang, Shuiwang Ji, 2018, ArXiv.

Generalized Linear Discriminant Analysis: A Unified Framework and Efficient Model Selection

Jieping Ye, Shuiwang Ji, Jieping Ye, 2008, IEEE Transactions on Neural Networks.

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

Zhengyang Wang, Shuiwang Ji, Hongyang Gao, 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Graph U-Nets

Shuiwang Ji, Hongyang Gao, Shuiwang Ji, 2019, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Multi-Task Feature Learning Via Efficient l2, 1-Norm Minimization pdf

Jieping Ye, Shuiwang Ji, Jun Liu, 2009, UAI.

Automated annotation of Drosophila gene expression patterns using a controlled vocabulary

Jieping Ye, Rong Jin, Liang Sun, 2008, Bioinform..

StructPool: Structured Graph Pooling via Conditional Random Fields

Shuiwang Ji, Hao Yuan, Shuiwang Ji, 2020, ICLR.

Feature Selection Based on Structured Sparsity: A Comprehensive Study

Tieniu Tan, Zhenan Sun, Dacheng Tao, 2017, IEEE Transactions on Neural Networks and Learning Systems.

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

Dinggang Shen, Jiang Li, Feng Li, 2015, IEEE Journal of Biomedical and Health Informatics.

IDM 2017: Workshop on Interpretable Data Mining -- Bridging the Gap between Shallow and Deep Models

Shuiwang Ji, Xia Hu, 2017, CIKM.

Node2Seq: Towards Trainable Convolutions in Graph Neural Networks pdf

Shuiwang Ji, Hao Yuan, Shuiwang Ji, 2021, ArXiv.

A least squares formulation for a class of generalized eigenvalue problems in machine learning

Jieping Ye, Liang Sun, Shuiwang Ji, 2009, ICML '09.

Topology-Aware Graph Pooling Networks pdf

Shuiwang Ji, Yi Liu, Hongyang Gao, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Evolutionary Soft Co-Clustering

Rui Zhang, Shuiwang Ji, Wenlu Zhang, 2013, SDM.

Group Contrastive Self-Supervised Learning on Graphs pdf

Shuiwang Ji, Xinyi Xu, Cheng Deng, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Stochastic Optimization of Area Under Precision-Recall Curve for Deep Learning with Provable Convergence pdf

Tianbao Yang, Shuiwang Ji, Youzhi Luo, 2021, ArXiv.

Global Voxel Transformer Networks for Augmented Microscopy

Shuiwang Ji, Yaochen Xie, Zhengyang Wang, 2021, Nat. Mach. Intell..

Stochastic Optimization of Areas UnderPrecision-Recall Curves with Provable Convergence

Tianbao Yang, Shuiwang Ji, Youzhi Luo, 2021 .

GraphDF: A Discrete Flow Model for Molecular Graph Generation

Shuiwang Ji, Youzhi Luo, Keqiang Yan, 2021, ICML.

Spherical Message Passing for 3D Graph Networks pdf

Shuiwang Ji, Meng Liu, Yi Liu, 2021, ArXiv.

Smoothed dilated convolutions for improved dense prediction

Shuiwang Ji, Zhengyang Wang, 2021, Data Min. Knowl. Discov..

Self-Supervised Learning of Graph Neural Networks: A Unified Review pdf

Shuiwang Ji, Yaochen Xie, Zhengyang Wang, 2021, ArXiv.

Adversarial Graph Disentanglement pdf

Zhenfeng Zhu, Shuiwang Ji, Shuai Zheng, 2021, ArXiv.

Fast Quantum Property Prediction via Deeper 2D and 3D Graph Networks pdf

Shuiwang Ji, Hao Yuan, Yaochen Xie, 2021, ArXiv.

GraphEBM: Molecular Graph Generation with Energy-Based Models pdf

Meng Liu, Shuiwang Ji, Bora Oztekin, 2021, ArXiv.

AdaGNN: Graph Neural Networks with Adaptive Frequency Response Filter

Shuiwang Ji, Kaize Ding, Borhan Jalaeian, 2021, CIKM.

Sent2Matrix: Folding Character Sequences in Serpentine Manifolds for Two-Dimensional Sentence pdf

Shuiwang Ji, Yi Liu, Hongyang Gao, 2021, ArXiv.

DIG: A Turnkey Library for Diving into Graph Deep Learning Research pdf

Shuiwang Ji, Hao Yuan, Shurui Gui, 2021, J. Mach. Learn. Res..

Molecule3D: A Benchmark for Predicting 3D Geometries from Molecular Graphs pdf

Shuiwang Ji, Maho Nakata, Youzhi Luo, 2021, ArXiv.

On Explainability of Graph Neural Networks via Subgraph Explorations pdf

Kang Li, Shuiwang Ji, Hao Yuan, 2021, International Conference on Machine Learning.

Non-Local Graph Neural Networks

Shuiwang Ji, Meng Liu, Zhengyang Wang, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.

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

Jiajun Chen, Shuiwang Ji, Zhanqiu Zhang, 2021, NeurIPS.

Segmenting delaminations in carbon fiber reinforced polymer composite CT using convolutional neural networks

Eric R. Burke, William P. Winfree, Shuiwang Ji, 2016 .

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

Dong Si, Jing He, Shuiwang Ji, 2012, Biopolymers.

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

Shuiwang Ji, Ahmed Fakhry, Shuiwang Ji, 2015, Methods.

Collaborative MultiView Denoising

Dinggang Shen, Lei Zhang, Yong Wang, 2016 .

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

Shuiwang Ji, Xiaoping Hu, Ahmed Fakhry, 2014, Brain Structure and Function.

Non-Local U-Nets for Biomedical Image Segmentation

Dinggang Shen, Shuiwang Ji, Na Zou, 2020, AAAI.

zhengyang-wang/GVTNets: Code for "Global Voxel Transformer Networks for Augmented Microscopy"

Shuiwang Ji, Zhengyang Wang, Yaochen Xie, 2020 .