Jianyang Zeng

Orcid: 0000-0003-0950-7716

Affiliations:

Tsinghua University, Institute for Interdisciplinary Information Sciences, Beijing, China
Duke University, Durham, NC, USA (PhD 2011)

According to our database¹, Jianyang Zeng authored at least 46 papers between 2003 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

PepGB: Facilitating peptide drug discovery via graph neural networks.

[BibT_eX]

[DOI]

CoRR, 2024

2023

DeepRCI: predicting RNA-chromatin interactions via deep learning with multi-omics data.

[BibT_eX]

[DOI]

Quant. Biol., September, 2023

Improving comparative analyses of Hi-C data via contrastive self-supervised learning.

[BibT_eX]

[DOI]

Briefings Bioinform., July, 2023

Characterizing the interaction conformation between T-cell receptors and epitopes with deep learning.

[BibT_eX]

[DOI]

Nat. Mac. Intell., April, 2023

DrugAI: a multi-view deep learning model for predicting drug-target activating/inhibiting mechanisms.

[BibT_eX]

[DOI]

Briefings Bioinform., January, 2023

2022

Predicting the protein-ligand affinity from molecular dynamics trajectories.

[BibT_eX]

[DOI]

CoRR, 2022

Boosting single-cell gene regulatory network reconstruction via bulk-cell transcriptomic data.

[BibT_eX]

[DOI]

Briefings Bioinform., 2022

KPGT: Knowledge-Guided Pre-training of Graph Transformer for Molecular Property Prediction.

[BibT_eX]

[DOI]

Han Li

Dan Zhao

Jianyang Zeng

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

2021

Full-length ribosome density prediction by a multi-input and multi-output model.

[BibT_eX]

[DOI]

PLoS Comput. Biol., 2021

Modeling gene regulatory networks using neural network architectures.

[BibT_eX]

[DOI]

Nat. Comput. Sci., 2021

Characterizing RNA Pseudouridylation by Convolutional Neural Networks.

[BibT_eX]

[DOI]

Genom. Proteom. Bioinform., 2021

Predicting MHC-peptide binding affinity by differential boundary tree.

[BibT_eX]

[DOI]

Peiyuan Feng

Jianyang Zeng

Jianzhu Ma

Bioinform., 2021

Riboexp: an interpretable reinforcement learning framework for ribosome density modeling.

[BibT_eX]

[DOI]

Briefings Bioinform., 2021

2020

A novel machine learning framework for automated biomedical relation extraction from large-scale literature repositories.

[BibT_eX]

[DOI]

Nat. Mach. Intell., 2020

Secure multiparty computation for privacy-preserving drug discovery.

[BibT_eX]

[DOI]

Bioinform., 2020

MONN: A Multi-objective Neural Network for Predicting Pairwise Non-covalent Interactions and Binding Affinities Between Compounds and Proteins.

[BibT_eX]

[DOI]

Proceedings of the Research in Computational Molecular Biology, 2020

2019

DeepCPI: A Deep Learning-based Framework for Large-scale <i>in silico</i> Drug Screening.

[BibT_eX]

[DOI]

Genom. Proteom. Bioinform., 2019

DeepShape: estimating isoform-level ribosome abundance and distribution with Ribo-seq data.

[BibT_eX]

[DOI]

BMC Bioinform., 2019

NeoDTI: neural integration of neighbor information from a heterogeneous network for discovering new drug-target interactions.

[BibT_eX]

[DOI]

Bioinform., 2019

Metagenomic binning through low-density hashing.

[BibT_eX]

[DOI]

Bioinform., 2019

DeepHINT: understanding HIV-1 integration via deep learning with attention.

[BibT_eX]

[DOI]

Bioinform., 2019

ACME: pan-specific peptide-MHC class I binding prediction through attention-based deep neural networks.

[BibT_eX]

[DOI]

Bioinform., 2019

DIFFUSE: predicting isoform functions from sequences and expression profiles via deep learning.

[BibT_eX]

[DOI]

Bioinform., 2019

2017

Elastic restricted Boltzmann machines for cancer data analysis.

[BibT_eX]

[DOI]

Quant. Biol., 2017

TITER: predicting translation initiation sites by deep learning.

[BibT_eX]

[DOI]

Bioinform., 2017

A deep learning framework for improving long-range residue-residue contact prediction using a hierarchical strategy.

[BibT_eX]

[DOI]

Dapeng Xiong

Jianyang Zeng

Haipeng Gong

Bioinform., 2017

ROSE: A Deep Learning Based Framework for Predicting Ribosome Stalling.

[BibT_eX]

[DOI]

Proceedings of the Research in Computational Molecular Biology, 2017

A Network Integration Approach for Drug-Target Interaction Prediction and Computational Drug Repositioning from Heterogeneous Information.

[BibT_eX]

[DOI]

Proceedings of the Research in Computational Molecular Biology, 2017

2016

Computational Protein Design Using AND/OR Branch-and-Bound Search.

[BibT_eX]

[DOI]

Yichao Zhou

Yuexin Wu

Jianyang Zeng

J. Comput. Biol., 2016

cOSPREY: A Cloud-Based Distributed Algorithm for Large-Scale Computational Protein Design.

[BibT_eX]

[DOI]

J. Comput. Biol., 2016

Constructing Structure Ensembles of Intrinsically Disordered Proteins from Chemical Shift Data.

[BibT_eX]

[DOI]

J. Comput. Biol., 2016

DeepPicker: a Deep Learning Approach for Fully Automated Particle Picking in Cryo-EM.

[BibT_eX]

[DOI]

CoRR, 2016

Approximation of barter exchanges with cycle length constraints.

[BibT_eX]

[DOI]

CoRR, 2016

Low-Density Locality-Sensitive Hashing Boosts Metagenomic Binning.

[BibT_eX]

[DOI]

Proceedings of the Research in Computational Molecular Biology - 20th Annual Conference, 2016

2015

Integrative Data Analysis of Multi-Platform Cancer Data with a Multimodal Deep Learning Approach.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2015

Massively Parallel A* Search on a GPU.

[BibT_eX]

[DOI]

Yichao Zhou

Jianyang Zeng

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

An efficient parallel algorithm for accelerating computational protein design.

[BibT_eX]

[DOI]

Bioinform., 2014

2013

Predicting drug-target interactions using restricted Boltzmann machines.

[BibT_eX]

[DOI]

Yuhao Wang

Jianyang Zeng

Bioinform., 2013

2011

Novel Algorithms for Automated NMR Assignment and Protein Structure Determination.

[BibT_eX]

[DOI]

Jianyang Zeng

PhD thesis, 2011

A Bayesian Approach for Determining Protein Side-Chain Rotamer Conformations Using Unassigned NOE Data.

[BibT_eX]

[DOI]

J. Comput. Biol., 2011

Protein Loop Closure Using Orientational Restraints from NMR Data.

[BibT_eX]

[DOI]

Chittaranjan Tripathy

Jianyang Zeng

Pei Zhou

Bruce Randall Donald

Proceedings of the Research in Computational Molecular Biology, 2011

2010

A Markov Random Field Framework for Protein Side-Chain Resonance Assignment.

[BibT_eX]

[DOI]

Jianyang Zeng

Pei Zhou

Bruce Randall Donald

Proceedings of the Research in Computational Molecular Biology, 2010

2005

Optimal Routing in a Small-World Network.

[BibT_eX]

[DOI]

Jianyang Zeng

Wen-Jing Hsu

Proceedings of the Sixth International Conference on Parallel and Distributed Computing, 2005

ReCord: A Distributed Hash Table with Recursive Structure.

[BibT_eX]

[DOI]

Jianyang Zeng

Wen-Jing Hsu

Proceedings of the Sixth International Conference on Parallel and Distributed Computing, 2005

2004

Looking Further Ahead Reveals An Even Smaller World

[BibT_eX]

[DOI]

Jianyang Zeng

Wen-Jing Hsu

Yahong Hu

CoRR, 2004

2003

Conflict-free routing of AGVs on the mesh topology based on a discrete-time model.

[BibT_eX]

[DOI]

Jianyang Zeng

Wen-Jing Hsu

Proceedings of the 2003 IEEE International Conference on Robotics and Automation, 2003

Jianyang Zeng

Timeline

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