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ORCIDSheng Wang 0001
Person information
- affiliation: Toyota Technological Institute at Chicago, IL, USA
- affiliation: University of Chicago, Department of Human Genetics, IL, USA
Other persons with the same name
- Sheng Wang — disambiguation page
- Sheng Wang 0002
![[0000-0003-2696-2171]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-2696-2171")
— Coventry University, UK - Sheng Wang 0003 — University of Technology at Sydney, NSW, Australia
- Sheng Wang 0004 — Hunan Institute of Technology, Hengyang, China
- Sheng Wang 0005 — Zhejiang University, Institute of VLSI Design, Hangzhou, China
- Sheng Wang 0006 — University of Electronic Science and Technology of China, Key Lab of Broadband Optical Fiber Transmission and Communication Networks, Chengdu, China
- Sheng Wang 0007 — Wuhan University, School of Computer Science, Wuhan, China (and 2 more)
- Sheng Wang 0008 — Shandong University, School of Mathematics and Statistics, Weihai, China
- Sheng Wang 0009 — Oklahoma State University, School of Electrical and Computer Engineering, Stillwater, OK, USA
- Sheng Wang 0010 — Tsinghua University, Department of Precision Instruments, Beijing, China
- Sheng Wang 0011 — Alibaba Cloud, Singapore (and 2 more)
- Sheng Wang 0012 — University of Washington, Seattle, WA, USA (and 2 more)
- Sheng Wang 0013 — Huazhong University of Science and Technology, Wuhan, Hubei, China
- Sheng Wang 0014 — Shanghai Jiao Tong University, School of Biomedical Engineering, Institute for Medical Imaging Technology, Shanghai, China (and 1 more)
- Sheng Wang 0015 — Zhengzhou University of Aeronautics, China (and 2 more)
- Sheng Wang 0016 — Wenzhou Medical University, Eye Hospital, Wenzhou, China
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2020 – today
- 2024
[j40]Zechen Wang, Sheng Wang, Yangyang Li, Jingjing Guo, Yanjie Wei, Yuguang Mu, Liangzhen Zheng, Weifeng Li:
A new paradigm for applying deep learning to protein-ligand interaction prediction. Briefings Bioinform. 25(3) (2024)- [j39]Yatong Han, Yingfeng Lu, Xu Yan, Hannah Cui, Shenghui Cheng, Jiayou Zheng, Yuzhe Zhou, Sheng Wang, Zhen Li:
Atom-ProteinQA: Atom-level protein model quality assessment through fine-grained joint learning. Comput. Methods Programs Biomed. 249: 108078 (2024) - 2023
- [j38]Zechen Wang, Liangzhen Zheng, Sheng Wang, Mingzhi Lin, Zhihao Wang, Adams Wai-Kin Kong, Yuguang Mu, Yanjie Wei, Weifeng Li:
A fully differentiable ligand pose optimization framework guided by deep learning and a traditional scoring function. Briefings Bioinform. 24(1) (2023) - [j37]Chaochao Yan, Jinyu Yang, Hehuan Ma, Sheng Wang, Junzhou Huang:
Molecule Sequence Generation with Rebalanced Variational Autoencoder Loss. J. Comput. Biol. 30(1): 82-94 (2023) - [j36]Zhao Zhang, Xia Yan, Piyang Liu, Kai Zhang, Renmin Han, Sheng Wang:
A physics-informed convolutional neural network for the simulation and prediction of two-phase Darcy flows in heterogeneous porous media. J. Comput. Phys. 477: 111919 (2023) - 2022
- [j35]Qin Wang, Jun Wei, Yuzhe Zhou, Mingzhi Lin, Ruobing Ren, Sheng Wang, Shuguang Cui, Zhen Li:
Prior knowledge facilitates low homologous protein secondary structure prediction with DSM distillation. Bioinform. 38(14): 3574-3581 (2022) - [j34]Xu Yan, Yingfeng Lu, Zhen Li, Qing Wei, Xin Gao, Sheng Wang, Song Wu, Shuguang Cui:
PointSite: A Point Cloud Segmentation Tool for Identification of Protein Ligand Binding Atoms. J. Chem. Inf. Model. 62(11): 2835-2845 (2022) - [c37]Qin Wang, Jiayang Chen, Yuzhe Zhou, Yu Li, Liangzhen Zheng, Sheng Wang, Zhen Li, Shuguang Cui:
Contact-Distil: Boosting Low Homologous Protein Contact Map Prediction by Self-Supervised Distillation. AAAI 2022: 4620-4627 - [c36]Jun Wei, Sheng Wang, S. Kevin Zhou, Shuguang Cui, Zhen Li:
Weakly Supervised Object Localization Through Inter-class Feature Similarity and Intra-class Appearance Consistency. ECCV (30) 2022: 195-210 - [c35]Shitong Luo, Yufeng Su, Xingang Peng, Sheng Wang, Jian Peng, Jianzhu Ma:
Antigen-Specific Antibody Design and Optimization with Diffusion-Based Generative Models for Protein Structures. NeurIPS 2022 - 2021
- [j33]Yuzhi Guo, Jiaxiang Wu, Hehuan Ma, Sheng Wang, Junzhou Huang:
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. 28(4): 346-361 (2021) - [j32]Yuzhi Guo, Jiaxiang Wu, Hehuan Ma, Sheng Wang, Junzhou Huang:
EPTool: A New Enhancing PSSM Tool for Protein Secondary Structure Prediction. J. Comput. Biol. 28(4): 362-364 (2021) - [c34]Qin Wang, Boyuan Wang, Zhenlei Xu, Jiaxiang Wu, Peilin Zhao, Zhen Li, Sheng Wang, Junzhou Huang, Shuguang Cui:
PSSM-Distil: Protein Secondary Structure Prediction (PSSP) on Low-Quality PSSM by Knowledge Distillation with Contrastive Learning. AAAI 2021: 617-625 - [c33]Jun Wei, Qin Wang, Zhen Li, Sheng Wang, S. Kevin Zhou, Shuguang Cui:
Shallow Feature Matters for Weakly Supervised Object Localization. CVPR 2021: 5993-6001 - [c32]Zhihao Yuan, Xu Yan, Yinghong Liao, Ruimao Zhang, Sheng Wang, Zhen Li, Shuguang Cui:
InstanceRefer: Cooperative Holistic Understanding for Visual Grounding on Point Clouds through Instance Multi-level Contextual Referring. ICCV 2021: 1771-1780 - [c31]Qin Wang, Jun Wei, Boyuan Wang, Zhen Li, Sheng Wang, Shuguang Cui:
Adaptive Residue-wise Profile Fusion for Low Homologous Protein Secondary Structure Prediction Using External Knowledge. IJCAI 2021: 3559-3565 - [i16]Liangzhen Zheng, Haidong Lan, Tao Shen, Jiaxiang Wu, Sheng Wang, Wei Liu, Junzhou Huang:
tFold-TR: Combining Deep Learning Enhanced Hybrid Potential Energy for Template-Based Modelling Structure Refinement. CoRR abs/2105.04350 (2021) - [i15]Jiaxiang Wu, Shitong Luo, Tao Shen, Haidong Lan, Sheng Wang, Junzhou Huang:
EBM-Fold: Fully-Differentiable Protein Folding Powered by Energy-based Models. CoRR abs/2105.04771 (2021) - [i14]Jun Wei, Qin Wang, Zhen Li, Sheng Wang, S. Kevin Zhou, Shuguang Cui:
Shallow Feature Matters for Weakly Supervised Object Localization. CoRR abs/2108.00873 (2021) - [i13]Qin Wang, Jun Wei, Boyuan Wang, Zhen Li, Sheng Wang, Shuguang Cui:
Adaptive Residue-wise Profile Fusion for Low Homologous Protein SecondaryStructure Prediction Using External Knowledge. CoRR abs/2108.04176 (2021) - 2020
- [j31]Renmin Han, Sheng Wang, Xin Gao:
Novel algorithms for efficient subsequence searching and mapping in nanopore raw signals towards targeted sequencing. Bioinform. 36(5): 1333-1343 (2020) - [j30]Yu Li, Sheng Wang, Chongwei Bi, Zhaowen Qiu, Mo Li, Xin Gao:
DeepSimulator1.5: a more powerful, quicker and lighter simulator for Nanopore sequencing. Bioinform. 36(8): 2578-2580 (2020) - [c30]Chaochao Yan, Sheng Wang, Jinyu Yang, Tingyang Xu, Junzhou Huang:
Re-balancing Variational Autoencoder Loss for Molecule Sequence Generation. BCB 2020: 54:1-54:7 - [c29]Yuzhi Guo, Jiaxiang Wu, Hehuan Ma, Sheng Wang, Junzhou Huang:
Protein Ensemble Learning with Atrous Spatial Pyramid Networks for Secondary Structure Prediction. BIBM 2020: 17-22 - [c28]Hehuan Ma, Chaochao Yan, Yuzhi Guo, Sheng Wang, Yuhong Wang, Hongmao Sun, Junzhou Huang:
Improving Molecular Property Prediction on Limited Data with Deep Multi-Label Learning. BIBM 2020: 2779-2784 - [c27]Xu Yan, Chaoda Zheng, Zhen Li, Sheng Wang, Shuguang Cui:
PointASNL: Robust Point Clouds Processing Using Nonlocal Neural Networks With Adaptive Sampling. CVPR 2020: 5588-5597 - [c26]Jinyu Yang, Weizhi An, Sheng Wang, Xinliang Zhu, Chaochao Yan, Junzhou Huang:
Label-Driven Reconstruction for Domain Adaptation in Semantic Segmentation. ECCV (27) 2020: 480-498 - [c25]Xu Yan, Kun Yuan, Weibing Zhao, Sheng Wang, Zhen Li, Shuguang Cui:
An Efficient Hybrid Model for Kidney Tumor Segmentation in CT Images. ISBI 2020: 333-336 - [c24]Minqing Zhang, Jiantao Gao, Zhen Lyu, Weibing Zhao, Qin Wang, Weizhen Ding, Sheng Wang, Zhen Li, Shuguang Cui:
Characterizing Label Errors: Confident Learning for Noisy-Labeled Image Segmentation. MICCAI (1) 2020: 721-730 - [c23]Yuzhi Guo, Jiaxiang Wu, Hehuan Ma, Sheng Wang, Junzhou Huang:
Bagging MSA Learning: Enhancing Low-Quality PSSM with Deep Learning for Accurate Protein Structure Property Prediction. RECOMB 2020: 88-103 - [p1]Xiaoyang Jing, Hong Zeng, Sheng Wang, Jinbo Xu:
A Web-Based Protocol for Interprotein Contact Prediction by Deep Learning. Protein-Protein Interaction Networks 2020: 67-80 - [i12]Xu Yan, Chaoda Zheng, Zhen Li, Sheng Wang, Shuguang Cui:
PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling. CoRR abs/2003.00492 (2020) - [i11]Jinyu Yang, Weizhi An, Sheng Wang, Xinliang Zhu, Chaochao Yan, Junzhou Huang:
Label-Driven Reconstruction for Domain Adaptation in Semantic Segmentation. CoRR abs/2003.04614 (2020)
2010 – 2019
- 2019
- [j29]Dinanath Sulakhe, Mark D'Souza, Sheng Wang, Sandhya Balasubramanian, Prashanth Athri, Bingqing Xie, Stefan Canzar, Gady Agam, T. Conrad Gilliam, Natalia Maltsev:
Exploring the functional impact of alternative splicing on human protein isoforms using available annotation sources. Briefings Bioinform. 20(5): 1754-1768 (2019) - [j28]Renmin Han, Xiaohua Wan, Lun Li, Albert F. Lawrence, Peng Yang, Yu Li, Sheng Wang, Fei Sun, Zhiyong Liu, Xin Gao, Fa Zhang:
AuTom-dualx: a toolkit for fully automatic fiducial marker-based alignment of dual-axis tilt series with simultaneous reconstruction. Bioinform. 35(2): 319-328 (2019) - [j27]Sheng Wang, Shiyang Fei, Zongan Wang, Yu Li, Jinbo Xu, Feng Zhao, Xin Gao:
PredMP: a web server for de novo prediction and visualization of membrane proteins. Bioinform. 35(4): 691-693 (2019) - [j26]Sheng Wang, Edward W. Huang, Junmei Cairns, Jian Peng, Liewei Wang, Saurabh Sinha:
Identification of pathways associated with chemosensitivity through network embedding. PLoS Comput. Biol. 15(3) (2019) - [c22]Zhen Li, Chongming Ni, Jinbo Xu, Xin Gao, Shuguang Cui, Sheng Wang:
Transmembrane Topology Identification by Fusing Evolutionary and Co-evolutionary Information with Cascaded Bidirectional Transformers. BCB 2019: 136-143 - [c21]Sheng Wang, Yuzhi Guo, Yuhong Wang, Hongmao Sun, Junzhou Huang:
SMILES-BERT: Large Scale Unsupervised Pre-Training for Molecular Property Prediction. BCB 2019: 429-436 - [c20]Zhen Li, Chongming Ni, Jinbo Xu, Xin Gao, Shuguang Cui, Sheng Wang:
Transmembrane Topology Identification by Fusing Evolutionary and Co-evolutionary Information with Cascaded Bidirectional Transformers. BCB 2019: 547 - [c19]Sheng Wang, Zheng Xu, Chaochao Yan, Junzhou Huang:
Graph Convolutional Nets for Tool Presence Detection in Surgical Videos. IPMI 2019: 467-478 - [i10]Chaochao Yan, Sheng Wang, Jinyu Yang, Tingyang Xu, Junzhou Huang:
Re-balancing Variational Autoencoder Loss for Molecule Sequence Generation. CoRR abs/1910.00698 (2019) - 2018
- [j25]Yu Li, Sheng Wang, Ramzan Umarov, Bingqing Xie, Ming Fan, Lihua Li, Xin Gao:
DEEPre: sequence-based enzyme EC number prediction by deep learning. Bioinform. 34(5): 760-769 (2018) - [j24]Jianwei Zhu, Sheng Wang, Dongbo Bu, Jinbo Xu:
Protein threading using residue co-variation and deep learning. Bioinform. 34(13): i263-i273 (2018) - [j23]Yu Li, Renmin Han, Chongwei Bi, Mo Li, Sheng Wang, Xin Gao:
DeepSimulator: a deep simulator for Nanopore sequencing. Bioinform. 34(17): 2899-2908 (2018) - [j22]Renmin Han, Yu Li, Xin Gao, Sheng Wang:
An accurate and rapid continuous wavelet dynamic time warping algorithm for end-to-end mapping in ultra-long nanopore sequencing. Bioinform. 34(17): i722-i731 (2018) - [j21]Yujuan Gao, Sheng Wang, Minghua Deng, Jinbo Xu:
RaptorX-Angle: real-value prediction of protein backbone dihedral angles through a hybrid method of clustering and deep learning. BMC Bioinform. 19-S(4): 73-84 (2018) - [j20]Hong Zeng, Sheng Wang, Tianming Zhou, Feifeng Zhao, Xiufeng Li, Qing Wu, Jinbo Xu:
ComplexContact: a web server for inter-protein contact prediction using deep learning. Nucleic Acids Res. 46(Webserver-Issue): W432-W437 (2018) - [j19]Zheng Xu, Sheng Wang, Yeqing Li, Feiyun Zhu, Junzhou Huang:
PRIM: An Efficient Preconditioning Iterative Reweighted Least Squares Method for Parallel Brain MRI Reconstruction. Neuroinformatics 16(3-4): 425-430 (2018) - [j18]Sheng Wang, Zhen Li, Yizhou Yu, Xin Gao:
WaveNano: a signal-level nanopore base-caller via simultaneous prediction of nucleotide labels and move labels through bi-directional WaveNets. Quant. Biol. 6(4): 359-368 (2018) - [c18]Ruoyu Li, Sheng Wang, Feiyun Zhu, Junzhou Huang:
Adaptive Graph Convolutional Neural Networks. AAAI 2018: 3546-3553 - [c17]Xiaoyu Zhang, Sheng Wang, Feiyun Zhu, Zheng Xu, Yuhong Wang, Junzhou Huang:
Seq3seq Fingerprint: Towards End-to-end Semi-supervised Deep Drug Discovery. BCB 2018: 404-413 - [c16]Feiyun Zhu, Xinliang Zhu, Sheng Wang, Jiawen Yao, Zhichun Xiao, Junzhou Huang:
Robust Contextual Bandit via the Capped- ℓ _2 ℓ 2 Norm for Mobile Health Intervention. MLMI@MICCAI 2018: 10-18 - [c15]Yunan Luo, Sheng Wang, Jinfeng Xiao, Jian Peng:
Large-scale integration of heterogeneous pharmacogenomic data for identifying drug mechanism of action. PSB 2018: 44-55 - [c14]Sheng Wang, Jianzhu Ma, Michael Ku Yu, Fan Zheng, Edward W. Huang, Jiawei Han, Jian Peng, Trey Ideker:
Annotating gene sets by mining large literature collections with protein networks. PSB 2018: 601-613 - [c13]Tianming Zhou, Sheng Wang, Jinbo Xu:
Deep Learning Reveals Many More Inter-protein Residue-Residue Contacts than Direct Coupling Analysis. RECOMB 2018: 295-296 - [i9]Ruoyu Li, Sheng Wang, Feiyun Zhu, Junzhou Huang:
Adaptive Graph Convolutional Neural Networks. CoRR abs/1801.03226 (2018) - 2017
- [j17]Mingfu Shao, Jianzhu Ma, Sheng Wang:
DeepBound: accurate identification of transcript boundaries via deep convolutional neural fields. Bioinform. 33(14): i267-i273 (2017) - [j16]Sheng Wang, Siqi Sun, Zhen Li, Renyu Zhang, Jinbo Xu:
Accurate De Novo Prediction of Protein Contact Map by Ultra-Deep Learning Model. PLoS Comput. Biol. 13(1) (2017) - [j15]Sheng Wang, Jian Peng:
Network-assisted target identification for haploinsufficiency and homozygous profiling screens. PLoS Comput. Biol. 13(6) (2017) - [c12]Zheng Xu, Sheng Wang, Feiyun Zhu, Junzhou Huang:
Seq2seq Fingerprint: An Unsupervised Deep Molecular Embedding for Drug Discovery. BCB 2017: 285-294 - [c11]Sheng Wang, Ashwin Raju, Junzhou Huang:
Deep learning based multi-label classification for surgical tool presence detection in laparoscopic videos. ISBI 2017: 620-623 - [c10]Sheng Wang, Meng Qu, Jian Peng:
ProSNet: integrating homology with molecular networks for protein function prediction. PSB 2017: 27-38 - [c9]Zhen Li, Sheng Wang, Yizhou Yu, Jinbo Xu:
Folding Membrane Proteins by Deep Transfer Learning. RECOMB 2017: 380-382 - [i8]Zhen Li, Sheng Wang, Yizhou Yu, Jinbo Xu:
Predicting membrane protein contacts from non-membrane proteins by deep transfer learning. CoRR abs/1704.07207 (2017) - [i7]Feiyun Zhu, Xinliang Zhu, Sheng Wang, Jiawen Yao, Junzhou Huang:
Robust Contextual Bandit via the Capped-$\ell_{2}$ norm. CoRR abs/1708.05446 (2017) - [i6]Sheng Wang, Zhen Li, Yizhou Yu, Jinbo Xu:
Folding membrane proteins by deep transfer learning. CoRR abs/1708.08407 (2017) - 2016
- [j14]Xuefeng Cui, Zhiwu Lu, Sheng Wang, Jim Jing-Yan Wang, Xin Gao:
CMsearch: simultaneous exploration of protein sequence space and structure space improves not only protein homology detection but also protein structure prediction. Bioinform. 32(12): 332-340 (2016) - [j13]Sheng Wang, Jianzhu Ma, Jinbo Xu:
AUCpreD: proteome-level protein disorder prediction by AUC-maximized deep convolutional neural fields. Bioinform. 32(17): 672-679 (2016) - [j12]Dinanath Sulakhe, Bingqing Xie, Andrew Taylor, Mark D'Souza, Sandhya Balasubramanian, Somaye Hashemifar, Steven White, Utpal J. Dave, Gady Agam, Jinbo Xu, Sheng Wang, T. Conrad Gilliam, Natalia Maltsev:
Lynx: a knowledge base and an analytical workbench for integrative medicine. Nucleic Acids Res. 44(Database-Issue): 882-887 (2016) - [j11]Sheng Wang, Wei Li, Renyu Zhang, Shiwang Liu, Jinbo Xu:
CoinFold: a web server for protein contact prediction and contact-assisted protein folding. Nucleic Acids Res. 44(Webserver-Issue): W361-W366 (2016) - [j10]Sheng Wang, Wei Li, Shiwang Liu, Jinbo Xu:
RaptorX-Property: a web server for protein structure property prediction. Nucleic Acids Res. 44(Webserver-Issue): W430-W435 (2016) - [c8]Sheng Wang, Jiawen Yao, Zheng Xu, Junzhou Huang:
Subtype Cell Detection with an Accelerated Deep Convolution Neural Network. MICCAI (2) 2016: 640-648 - [c7]Jiawen Yao, Sheng Wang, Xinliang Zhu, Junzhou Huang:
Imaging Biomarker Discovery for Lung Cancer Survival Prediction. MICCAI (2) 2016: 649-657 - [c6]Sheng Wang, Siqi Sun, Jinbo Xu:
AUC-Maximized Deep Convolutional Neural Fields for Protein Sequence Labeling. ECML/PKDD (2) 2016: 1-16 - [i5]Sheng Wang, Siqi Sun, Zhen Li, Renyu Zhang, Jinbo Xu:
Accurate De Novo Prediction of Protein Contact Map by Ultra-Deep Learning Model. CoRR abs/1609.00680 (2016) - 2015
- [b1]Jinbo Xu, Sheng Wang, Jianzhu Ma:
Protein Homology Detection Through Alignment of Markov Random Fields - Using MRFalign. Springer Briefs in Computer Science, Springer 2015, ISBN 978-3-319-14913-4, pp. 1-48 - [j9]Sheng Wang, Hyunghoon Cho, ChengXiang Zhai, Bonnie Berger, Jian Peng:
Exploiting ontology graph for predicting sparsely annotated gene function. Bioinform. 31(12): 357-364 (2015) - [j8]Jianzhu Ma, Sheng Wang, Zhiyong Wang, Jinbo Xu:
Protein contact prediction by integrating joint evolutionary coupling analysis and supervised learning. Bioinform. 31(21): 3506-3513 (2015) - [c5]Qingming Tang, Sheng Wang, Jian Peng, Jianzhu Ma, Jinbo Xu:
Bermuda: de novo assembly of transcripts with new insights for handling uneven coverage. BCB 2015: 166-175 - [c4]Siqi Sun, Jianzhu Ma, Sheng Wang, Jinbo Xu:
Predicting diverse M-best protein contact maps. BIBM 2015: 1287-1295 - [c3]Jianzhu Ma, Sheng Wang, Zhiyong Wang, Jinbo Xu:
Protein Contact Prediction by Integrating Joint Evolutionary Coupling Analysis and Supervised Learning. RECOMB 2015: 218-221 - [i4]Sheng Wang, Siqi Sun, Jinbo Xu:
AUC-maximized Deep Convolutional Neural Fields for Sequence Labeling. CoRR abs/1511.05265 (2015) - [i3]Sheng Wang, Jian Peng, Jianzhu Ma, Jinbo Xu:
Protein secondary structure prediction using deep convolutional neural fields. CoRR abs/1512.00843 (2015) - 2014
- [j7]Dinanath Sulakhe, Sandhya Balasubramanian, Bingqing Xie, Bo Feng, Andrew Taylor, Sheng Wang, Eduardo Berrocal, Utpal J. Dave, Jinbo Xu, Daniela Börnigen, T. Conrad Gilliam, Natalia Maltsev:
Lynx: a database and knowledge extraction engine for integrative medicine. Nucleic Acids Res. 42(Database-Issue): 1007-1012 (2014) - [j6]Jianzhu Ma, Sheng Wang, Zhiyong Wang, Jinbo Xu:
MRFalign: Protein Homology Detection through Alignment of Markov Random Fields. PLoS Comput. Biol. 10(3) (2014) - [c2]Jianzhu Ma, Sheng Wang, Zhiyong Wang, Jinbo Xu:
MRFalign: Protein Homology Detection through Alignment of Markov Random Fields. RECOMB 2014: 173-174 - [i2]Jianzhu Ma, Sheng Wang, Zhiyong Wang, Jinbo Xu:
MRFalign: Protein Homology Detection through Alignment of Markov Random Fields. CoRR abs/1401.2668 (2014) - 2013
- [j5]Jianzhu Ma, Sheng Wang, Feng Zhao, Jinbo Xu:
Protein threading using context-specific alignment potential. Bioinform. 29(13): 257-265 (2013) - [c1]Jianzhu Ma, Jian Peng, Sheng Wang, Jinbo Xu:
Estimating the Partition Function of Graphical Models Using Langevin Importance Sampling. AISTATS 2013: 433-441 - [i1]Jianzhu Ma, Sheng Wang, Jinbo Xu:
Protein contact prediction by joint evolutionary coupling analysis across multiple families. CoRR abs/1312.2988 (2013) - 2012
- [j4]Jianzhu Ma, Jian Peng, Sheng Wang, Jinbo Xu:
A conditional neural fields model for protein threading. Bioinform. 28(12): 59-66 (2012) - 2011
- [j3]Sheng Wang, Jian Peng, Jinbo Xu:
Alignment of distantly related protein structures: algorithm, bound and implications to homology modeling. Bioinform. 27(18): 2537-2545 (2011) - [j2]Mingfu Shao, Sheng Wang, Chao Wang, Xiongying Yuan, Shuai Li, Wei-Mou Zheng, Dongbo Bu:
Incorporating Ab Initio energy into threading approaches for protein structure prediction. BMC Bioinform. 12(S-1): S54 (2011)
2000 – 2009
- 2008
- [j1]Sheng Wang, Wei-Mou Zheng:
ClEPaps: Fast Pair Alignment of protein Structures Based on conformational Letters. J. Bioinform. Comput. Biol. 6(2): 347-366 (2008)
Coauthor Index
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