Jianzhu Ma

Pan Li

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Efficient Meta Reinforcement Learning for Preference-based Fast Adaptation.

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[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Antigen-Specific Antibody Design and Optimization with Diffusion-Based Generative Models for Protein Structures.

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[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Multiwave COVID-19 Prediction from Social Awareness Using Web Search and Mobility Data.

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Proximal Exploration for Model-guided Protein Sequence Design.

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[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Pocket2Mol: Efficient Molecular Sampling Based on 3D Protein Pockets.

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[DOI]

Proceedings of the International Conference on Machine Learning, 2022

3DLinker: An E(3) Equivariant Variational Autoencoder for Molecular Linker Design.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Energy-Inspired Molecular Conformation Optimization.

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[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Equivariant Point Cloud Analysis via Learning Orientations for Message Passing.

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[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

AirSign: Smartphone Authentication by Signing in the Air.

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[DOI]

Sensors, 2021

Modeling gene regulatory networks using neural network architectures.

[BibT_eX]

[DOI]

Nat. Comput. Sci., 2021

Contrastive Cycle Adversarial Autoencoders for Single-cell Multi-omics Alignment and Integration.

[BibT_eX]

[DOI]

CoRR, 2021

Multiwave COVID-19 Prediction via Social Awareness-Based Graph Neural Networks using Mobility and Web Search Data.

[BibT_eX]

[DOI]

CoRR, 2021

Fast Projection onto the Capped Simplex withApplications to Sparse Regression in Bioinformatics.

[BibT_eX]

[DOI]

CoRR, 2021

Neural Higher-order Pattern (Motif) Prediction in Temporal Networks.

[BibT_eX]

[DOI]

Yunyu Liu

Pan Li

CoRR, 2021

Quantifying spatial homogeneity of urban road networks via graph neural networks.

[BibT_eX]

[DOI]

CoRR, 2021

Disease gene prediction with privileged information and heteroscedastic dropout.

[BibT_eX]

[DOI]

Bioinform., 2021

Predicting MHC-peptide binding affinity by differential boundary tree.

[BibT_eX]

[DOI]

Peiyuan Feng

Jianyang Zeng

Bioinform., 2021

PALM: Probabilistic area loss Minimization for Protein Sequence Alignment.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

A 3D Generative Model for Structure-Based Drug Design.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Fast Projection onto the Capped Simplex with Applications to Sparse Regression in Bioinformatics.

[BibT_eX]

[DOI]

Andersen Man Shun Ang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Breaking the Limit of Graph Neural Networks by Improving the Assortativity of Graphs with Local Mixing Patterns.

[BibT_eX]

[DOI]

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

XOR-CD: Linearly Convergent Constrained Structure Generation.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

When causal inference meets deep learning.

[BibT_eX]

[DOI]

Yunan Luo

Jian Peng

Nat. Mach. Intell., 2020

Artificial-cell-type aware cell-type classification in CITE-seq.

[BibT_eX]

[DOI]

Bioinform., 2020

2019

Mitigating Data Scarcity in Protein Binding Prediction Using Meta-Learning.

[BibT_eX]

[DOI]

Proceedings of the Research in Computational Molecular Biology, 2019

2018

Classifying tumors by supervised network propagation.

[BibT_eX]

[DOI]

Wei Zhang

Trey Ideker

Bioinform., 2018

Deciphering Signaling Specificity with Deep Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Research in Computational Molecular Biology, 2018

Annotating gene sets by mining large literature collections with protein networks.

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[DOI]

Proceedings of the Biocomputing 2018: Proceedings of the Pacific Symposium, 2018

2017

DeepBound: accurate identification of transcript boundaries via deep convolutional neural fields.

[BibT_eX]

[DOI]

Mingfu Shao

Bioinform., 2017

2016

AUCpreD: proteome-level protein disorder prediction by AUC-maximized deep convolutional neural fields.

[BibT_eX]

[DOI]

Bioinform., 2016

ModuleAlign: module-based global alignment of protein-protein interaction networks.

[BibT_eX]

[DOI]

Bioinform., 2016

2015

Protein Homology Detection Through Alignment of Markov Random Fields - Using MRFalign

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[DOI]

Springer Briefs in Computer Science, Springer, ISBN: 978-3-319-14914-1, 2015

Protein secondary structure prediction using deep convolutional neural fields.

[BibT_eX]

[DOI]

CoRR, 2015

Protein Structure Prediction by Protein Alignments.

[BibT_eX]

[DOI]

CoRR, 2015

Protein contact prediction by integrating joint evolutionary coupling analysis and supervised learning.

[BibT_eX]

[DOI]

Bioinform., 2015

Structure Learning Constrained by Node-Specific Degree Distribution.

[BibT_eX]

[DOI]

Feng Zhao

Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015

Predicting diverse M-best protein contact maps.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

Bermuda: de novo assembly of transcripts with new insights for handling uneven coverage.

[BibT_eX]

[DOI]

Proceedings of the 6th ACM Conference on Bioinformatics, 2015

2014

MRFalign: Protein Homology Detection through Alignment of Markov Random Fields.

[BibT_eX]

[DOI]

PLoS Comput. Biol., 2014

2013

Protein contact prediction by joint evolutionary coupling analysis across multiple families.

[BibT_eX]

[DOI]