Shuiwang Ji
Orcid: 0000-0002-4205-4563Affiliations:
- Texas A&M University, College Station, TX, USA
- Old Dominion University, Norfolk, USA (former)
According to our database1,
Shuiwang Ji
authored at least 195 papers
between 2007 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
SineNet: Learning Temporal Dynamics in Time-Dependent Partial Differential Equations.
CoRR, 2024
CoRR, 2024
CoRR, 2024
2023
IEEE Trans. Pattern Anal. Mach. Intell., June, 2023
Deep Low-Shot Learning for Biological Image Classification and Visualization From Limited Training Samples.
IEEE Trans. Neural Networks Learn. Syst., May, 2023
IEEE Trans. Pattern Anal. Mach. Intell., May, 2023
IEEE Trans. Pattern Anal. Mach. Intell., March, 2023
IEEE Trans. Pattern Anal. Mach. Intell., 2023
IEEE Trans. Pattern Anal. Mach. Intell., 2023
IEEE Trans. Pattern Anal. Mach. Intell., 2023
Genetic InfoMax: Exploring Mutual Information Maximization in High-Dimensional Imaging Genetics Studies.
CoRR, 2023
CoRR, 2023
CoRR, 2023
Generalization in Visual Reinforcement Learning with the Reward Sequence Distribution.
CoRR, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Joint Learning of Label and Environment Causal Independence for Graph Out-of-Distribution Generalization.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
A new perspective on building efficient and expressive 3D equivariant graph neural networks.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the International Conference on Machine Learning, 2023
Efficient Approximations of Complete Interatomic Potentials for Crystal Property Prediction.
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
2022
IEEE Trans. Medical Imaging, 2022
IEEE Trans. Pattern Anal. Mach. Intell., 2022
IEEE Trans. Pattern Anal. Mach. Intell., 2022
CoRR, 2022
Lattice Convolutional Networks for Learning Ground States of Quantum Many-Body Systems.
CoRR, 2022
Your Neighbors Are Communicating: Towards Powerful and Scalable Graph Neural Networks.
CoRR, 2022
Neighbor2Seq: Deep Learning on Massive Graphs by Transforming Neighbors to Sequences.
Proceedings of the 2022 SIAM International Conference on Data Mining, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Learning Task-relevant Representations for Generalization via Characteristic Functions of Reward Sequence Distributions.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
2021
CleftNet: Augmented Deep Learning for Synaptic Cleft Detection From Brain Electron Microscopy.
IEEE Trans. Medical Imaging, 2021
ChannelNets: Compact and Efficient Convolutional Neural Networks via Channel-Wise Convolutions.
IEEE Trans. Pattern Anal. Mach. Intell., 2021
J. Mach. Learn. Res., 2021
Data Min. Knowl. Discov., 2021
CoRR, 2021
Stochastic Optimization of Area Under Precision-Recall Curve for Deep Learning with Provable Convergence.
CoRR, 2021
Sent2Matrix: Folding Character Sequences in Serpentine Manifolds for Two-Dimensional Sentence.
CoRR, 2021
A Multi-Stage Attentive Transfer Learning Framework for Improving COVID-19 Diagnosis.
CoRR, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Stochastic Optimization of Areas Under Precision-Recall Curves with Provable Convergence.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Fifteenth International AAAI Conference on Web and Social Media, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
Graph Based Machine Learning for Healthcare: State of the Art, Challenges, and Opportunities.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021
2020
IEEE Trans. Medical Imaging, 2020
IEEE Trans. Big Data, 2020
IEEE Trans. Pattern Anal. Mach. Intell., 2020
MoleculeKit: Machine Learning Methods for Molecular Property Prediction and Drug Discovery.
CoRR, 2020
Augmented Equivariant Attention Networks for Electron Microscopy Image Super-Resolution.
CoRR, 2020
CoRR, 2020
Proceedings of the 2020 SIAM International Conference on Data Mining, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
Proceedings of the 8th International Conference on Learning Representations, 2020
Proceedings of the 20th IEEE International Conference on Data Mining, 2020
Proceedings of the 20th IEEE International Conference on Data Mining, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
A Deep Learning Approach for Targeted Contrast-Enhanced Ultrasound Based Prostate Cancer Detection.
IEEE ACM Trans. Comput. Biol. Bioinform., 2019
A deep transfer learning approach for improved post-traumatic stress disorder diagnosis.
Knowl. Inf. Syst., 2019
CoRR, 2019
Computational modeling of cellular structures using conditional deep generative networks.
Bioinform., 2019
Proceedings of the World Wide Web Conference, 2019
Proceedings of the World Wide Web Conference, 2019
Proceedings of the World Wide Web Conference, 2019
Proceedings of the 2019 SIAM International Conference on Data Mining, 2019
Proceedings of the 2019 SIAM International Conference on Data Mining, 2019
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019
Interpreting Deep Models for Text Analysis via Optimization and Regularization Methods.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Large-scale Exploration of Neuronal Morphologies Using Deep Learning and Augmented Reality.
Neuroinformatics, 2018
Neuroinformatics, 2018
Global Deep Learning Methods for Multimodality Isointense Infant Brain Image Segmentation.
CoRR, 2018
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018
ChannelNets: Compact and Efficient Convolutional Neural Networks via Channel-Wise Convolutions.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
2017
IEEE Trans. Neural Networks Learn. Syst., 2017
Deep Learning Segmentation of Optical Microscopy Images Improves 3-D Neuron Reconstruction.
IEEE Trans. Medical Imaging, 2017
IEEE Trans. Medical Imaging, 2017
DeepEM3D: approaching human-level performance on 3D anisotropic EM image segmentation.
Bioinform., 2017
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017
A Deep Transfer Learning Approach for Improved Post-Traumatic Stress Disorder Diagnosis.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017
IDM 2017: Workshop on Interpretable Data Mining - Bridging the Gap between Shallow and Deep Models.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017
2016
Deep models for brain EM image segmentation: novel insights and improved performance.
Bioinform., 2016
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016
Deep convolutional neural networks for detecting secondary structures in protein density maps from cryo-electron microscopy.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016
2015
IEEE Trans. Knowl. Data Eng., 2015
IEEE J. Biomed. Health Informatics, 2015
Deep convolutional neural networks for multi-modality isointense infant brain image segmentation.
NeuroImage, 2015
Data Min. Knowl. Discov., 2015
Global analysis of gene expression and projection target correlations in the mouse brain.
Brain Informatics, 2015
Deep convolutional neural networks for annotating gene expression patterns in the mouse brain.
BMC Bioinform., 2015
Proceedings of the Biocomputing 2015: Proceedings of the Pacific Symposium, 2015
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015
2014
How to Estimate the Regularization Parameter for Spectral Regression Discriminant Analysis and its Kernel Version?
IEEE Trans. Circuits Syst. Video Technol., 2014
Integrative analysis of the connectivity and gene expression atlases in the mouse brain.
NeuroImage, 2014
Automated identification of cell-type-specific genes in the mouse brain by image computing of expression patterns.
BMC Bioinform., 2014
Automated annotation of developmental stages of <i>Drosophila</i> embryos in images containing spatial patterns of expression.
Bioinform., 2014
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
Proceedings of the Machine Learning in Medical Imaging - 5th International Workshop, 2014
2013
A Probabilistic Latent Semantic Analysis Model for Coclustering the Mouse Brain Atlas.
IEEE ACM Trans. Comput. Biol. Bioinform., 2013
IEEE Trans. Pattern Anal. Mach. Intell., 2013
A mesh generation and machine learning framework for Drosophila gene expression pattern image analysis.
BMC Bioinform., 2013
Image-level and group-level models for Drosophila gene expression pattern annotation.
BMC Bioinform., 2013
Computational genetic neuroanatomy of the developing mouse brain: dimensionality reduction, visualization, and clustering.
BMC Bioinform., 2013
Proceedings of the 13th SIAM International Conference on Data Mining, 2013
2012
Drosophila Gene Expression Pattern Annotation through Multi-Instance Multi-Label Learning.
IEEE ACM Trans. Comput. Biol. Bioinform., 2012
Pattern Recognit., 2012
Learning Sparse Representations for Fruit-Fly Gene Expression Pattern Image Annotation and Retrieval.
BMC Bioinform., 2012
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012
2011
Canonical Correlation Analysis for Multilabel Classification: A Least-Squares Formulation, Extensions, and Analysis.
IEEE Trans. Pattern Anal. Mach. Intell., 2011
FlyExpress: visual mining of spatiotemporal patterns for genes and publications in <i>Drosophila</i> embryogenesis.
Bioinform., 2011
Computational network analysis of the anatomical and genetic organizations in the mouse brain.
Bioinform., 2011
2010
ACM Trans. Knowl. Discov. Data, 2010
SIAM J. Optim., 2010
2009
BMC Bioinform., 2009
Proceedings of the UAI 2009, 2009
Proceedings of the TRECVID 2009 workshop participants notebook papers, 2009
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009
Drosophila gene expression pattern annotation using sparse features and term-term interactions.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009
On the Equivalence between Canonical Correlation Analysis and Orthonormalized Partial Least Squares.
Proceedings of the IJCAI 2009, 2009
DrosophilaGene Expression Pattern Annotation through Multi-Instance Multi-Label Learning.
Proceedings of the IJCAI 2009, 2009
Proceedings of the IJCAI 2009, 2009
A least squares formulation for a class of generalized eigenvalue problems in machine learning.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009
Proceedings of the 26th Annual International Conference on Machine Learning, 2009
2008
Generalized Linear Discriminant Analysis: A Unified Framework and Efficient Model Selection.
IEEE Trans. Neural Networks, 2008
Kernel Uncorrelated and Regularized Discriminant Analysis: A Theoretical and Computational Study.
IEEE Trans. Knowl. Data Eng., 2008
J. Mach. Learn. Res., 2008
Adaptive diffusion kernel learning from biological networks for protein function prediction.
BMC Bioinform., 2008
Automated annotation of <i>Drosophila</i> gene expression patterns using a controlled vocabulary.
Bioinform., 2008
Proceedings of the Advances in Neural Information Processing Systems 21, 2008
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008
Proceedings of the Machine Learning, 2008
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008
2007
Learning the kernel matrix in discriminant analysis via quadratically constrained quadratic programming.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007
Discriminant kernel and regularization parameter learning via semidefinite programming.
Proceedings of the Machine Learning, 2007