Sheng Wang
Orcid: 0000-0003-4210-1670Affiliations:
- Toyota Technological Institute at Chicago, IL, USA
- University of Chicago, Department of Human Genetics, IL, USA
According to our database1,
Sheng Wang
authored at least 85 papers
between 2008 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
CoRR, 2024
Atom-ProteinQA: Atom-level protein model quality assessment through fine-grained joint learning.
Comput. Methods Programs Biomed., 2024
Briefings Bioinform., 2024
2023
A physics-informed convolutional neural network for the simulation and prediction of two-phase Darcy flows in heterogeneous porous media.
J. Comput. Phys., March, 2023
A fully differentiable ligand pose optimization framework guided by deep learning and a traditional scoring function.
Briefings Bioinform., January, 2023
J. Comput. Biol., 2023
2022
PointSite: A Point Cloud Segmentation Tool for Identification of Protein Ligand Binding Atoms.
J. Chem. Inf. Model., 2022
Prior knowledge facilitates low homologous protein secondary structure prediction with DSM distillation.
Bioinform., 2022
Antigen-Specific Antibody Design and Optimization with Diffusion-Based Generative Models for Protein Structures.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Weakly Supervised Object Localization Through Inter-class Feature Similarity and Intra-class Appearance Consistency.
Proceedings of the Computer Vision - ECCV 2022, 2022
Contact-Distil: Boosting Low Homologous Protein Contact Map Prediction by Self-Supervised Distillation.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
J. Comput. Biol., 2021
Comprehensive Study on Enhancing Low-Quality Position-Specific Scoring Matrix with Deep Learning for Accurate Protein Structure Property Prediction: Using Bagging Multiple Sequence Alignment Learning.
J. Comput. Biol., 2021
Adaptive Residue-wise Profile Fusion for Low Homologous Protein SecondaryStructure Prediction Using External Knowledge.
CoRR, 2021
CoRR, 2021
tFold-TR: Combining Deep Learning Enhanced Hybrid Potential Energy for Template-Based Modelling Structure Refinement.
CoRR, 2021
Adaptive Residue-wise Profile Fusion for Low Homologous Protein Secondary Structure Prediction Using External Knowledge.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
InstanceRefer: Cooperative Holistic Understanding for Visual Grounding on Point Clouds through Instance Multi-level Contextual Referring.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
PSSM-Distil: Protein Secondary Structure Prediction (PSSP) on Low-Quality PSSM by Knowledge Distillation with Contrastive Learning.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Proceedings of the Protein-Protein Interaction Networks, Methods and Protocols., 2020
Novel algorithms for efficient subsequence searching and mapping in nanopore raw signals towards targeted sequencing.
Bioinform., 2020
DeepSimulator1.5: a more powerful, quicker and lighter simulator for Nanopore sequencing.
Bioinform., 2020
Bagging MSA Learning: Enhancing Low-Quality PSSM with Deep Learning for Accurate Protein Structure Property Prediction.
Proceedings of the Research in Computational Molecular Biology, 2020
Characterizing Label Errors: Confident Learning for Noisy-Labeled Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
Proceedings of the Computer Vision - ECCV 2020, 2020
PointASNL: Robust Point Clouds Processing Using Nonlocal Neural Networks With Adaptive Sampling.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
Improving Molecular Property Prediction on Limited Data with Deep Multi-Label Learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
Protein Ensemble Learning with Atrous Spatial Pyramid Networks for Secondary Structure Prediction.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
Proceedings of the BCB '20: 11th ACM International Conference on Bioinformatics, 2020
2019
Identification of pathways associated with chemosensitivity through network embedding.
PLoS Comput. Biol., 2019
Bioinform., 2019
AuTom-dualx: a toolkit for fully automatic fiducial marker-based alignment of dual-axis tilt series with simultaneous reconstruction.
Bioinform., 2019
Exploring the functional impact of alternative splicing on human protein isoforms using available annotation sources.
Briefings Bioinform., 2019
Proceedings of the Information Processing in Medical Imaging, 2019
SMILES-BERT: Large Scale Unsupervised Pre-Training for Molecular Property Prediction.
Proceedings of the 10th ACM International Conference on Bioinformatics, 2019
Transmembrane Topology Identification by Fusing Evolutionary and Co-evolutionary Information with Cascaded Bidirectional Transformers.
Proceedings of the 10th ACM International Conference on Bioinformatics, 2019
2018
WaveNano: a signal-level nanopore base-caller via simultaneous prediction of nucleotide labels and move labels through bi-directional WaveNets.
Quant. Biol., 2018
PRIM: An Efficient Preconditioning Iterative Reweighted Least Squares Method for Parallel Brain MRI Reconstruction.
Neuroinformatics, 2018
ComplexContact: a web server for inter-protein contact prediction using deep learning.
Nucleic Acids Res., 2018
RaptorX-Angle: real-value prediction of protein backbone dihedral angles through a hybrid method of clustering and deep learning.
BMC Bioinform., 2018
Bioinform., 2018
An accurate and rapid continuous wavelet dynamic time warping algorithm for end-to-end mapping in ultra-long nanopore sequencing.
Bioinform., 2018
Deep Learning Reveals Many More Inter-protein Residue-Residue Contacts than Direct Coupling Analysis.
Proceedings of the Research in Computational Molecular Biology, 2018
Proceedings of the Biocomputing 2018: Proceedings of the Pacific Symposium, 2018
Large-scale integration of heterogeneous pharmacogenomic data for identifying drug mechanism of action.
Proceedings of the Biocomputing 2018: Proceedings of the Pacific Symposium, 2018
Robust Contextual Bandit via the Capped- ℓ _2 ℓ 2 Norm for Mobile Health Intervention.
Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018
Proceedings of the 2018 ACM International Conference on Bioinformatics, 2018
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
Network-assisted target identification for haploinsufficiency and homozygous profiling screens.
PLoS Comput. Biol., 2017
PLoS Comput. Biol., 2017
Predicting membrane protein contacts from non-membrane proteins by deep transfer learning.
CoRR, 2017
DeepBound: accurate identification of transcript boundaries via deep convolutional neural fields.
Bioinform., 2017
Proceedings of the Research in Computational Molecular Biology, 2017
ProSNet: integrating homology with molecular networks for protein function prediction.
Proceedings of the Biocomputing 2017: Proceedings of the Pacific Symposium, 2017
Deep learning based multi-label classification for surgical tool presence detection in laparoscopic videos.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
Proceedings of the 8th ACM International Conference on Bioinformatics, 2017
2016
CoinFold: a web server for protein contact prediction and contact-assisted protein folding.
Nucleic Acids Res., 2016
Nucleic Acids Res., 2016
Nucleic Acids Res., 2016
AUCpreD: proteome-level protein disorder prediction by AUC-maximized deep convolutional neural fields.
Bioinform., 2016
CMsearch: simultaneous exploration of protein sequence space and structure space improves not only protein homology detection but also protein structure prediction.
Bioinform., 2016
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
2015
Protein Homology Detection Through Alignment of Markov Random Fields - Using MRFalign
Springer Briefs in Computer Science, Springer, ISBN: 978-3-319-14914-1, 2015
CoRR, 2015
Bioinform., 2015
Protein contact prediction by integrating joint evolutionary coupling analysis and supervised learning.
Bioinform., 2015
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.
Proceedings of the 6th ACM Conference on Bioinformatics, 2015
2014
PLoS Comput. Biol., 2014
Nucleic Acids Res., 2014
2013
Protein contact prediction by joint evolutionary coupling analysis across multiple families.
CoRR, 2013
Estimating the Partition Function of Graphical Models Using Langevin Importance Sampling.
Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013
2012
2011
Incorporating Ab Initio energy into threading approaches for protein structure prediction.
BMC Bioinform., 2011
Alignment of distantly related protein structures: algorithm, bound and implications to homology modeling.
Bioinform., 2011
2008
J. Bioinform. Comput. Biol., 2008