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2020 – today
- 2023
[j52]Hong Wang, Chong Dai, Yuqi Wen, Xiaoqi Wang, Wenjuan Liu, Song He
, Xiaochen Bo, Shaoliang Peng:
GADRP: graph convolutional networks and autoencoders for cancer drug response prediction. Briefings Bioinform. 24(1) (2023)- [j51]Lian Wang, Liangrui Pan, Hetian Wang, Mingting Liu, Zhichao Feng, Pengfei Rong, Zuo Chen, Shaoliang Peng:
DHUnet: Dual-branch hierarchical global-local fusion network for whole slide image segmentation. Biomed. Signal Process. Control. 85: 104976 (2023) - [j50]Pronthep Pipitsunthonsan, Liangrui Pan, Shaoliang Peng, Thanate Khaorapapong, Sutkhet Nakasathien, Sittiporn Channumsin, Mitchai Chongcheawchamnan:
Palm bunch grading technique using a multi-input and multi-label convolutional neural network. Comput. Electron. Agric. 210: 107864 (2023) - [j49]Shaoliang Peng, Wenxuan Bao, Hao Liu, Xia Xiao, Jiandong Shang, Lin Han, Shan Wang, Xiaolan Xie, Yang Xu:
A peer-to-peer file storage and sharing system based on consortium blockchain. Future Gener. Comput. Syst. 141: 197-204 (2023) - [j48]Xiaoqi Wang, Yingjie Cheng, Yaning Yang, Yue Yu, Fei Li, Shaoliang Peng:
Multitask joint strategies of self-supervised representation learning on biomedical networks for drug discovery. Nat. Mac. Intell. 5(4): 445-456 (2023) - [c66]Deze Wang, Boxing Chen, Shanshan Li, Wei Luo, Shaoliang Peng, Wei Dong, Xiangke Liao:
One Adapter for All Programming Languages? Adapter Tuning for Code Search and Summarization. ICSE 2023: 5-16 - [c65]Teng Wang, Zhouyang Jia, Shanshan Li, Si Zheng, Yue Yu, Erci Xu, Shaoliang Peng, Xiangke Liao:
Understanding and Detecting On-The-Fly Configuration Bugs. ICSE 2023: 628-639 - [i11]Deze Wang, Boxing Chen, Shanshan Li, Wei Luo, Shaoliang Peng, Wei Dong, Xiangke Liao:
One Adapter for All Programming Languages? Adapter Tuning for Code Search and Summarization. CoRR abs/2303.15822 (2023) - [i10]Liangrui Pan, Dazhen Liu, Yutao Dou, Lian Wang, Zhichao Feng, Pengfei Rong, Liwen Xu, Shaoliang Peng:
Multi-Head Attention Mechanism Learning for Cancer New Subtypes and Treatment Based on Cancer Multi-Omics Data. CoRR abs/2307.04075 (2023) - [i9]Liangrui Pan, Yutao Dou, Zhichao Feng, Liwen Xu, Shaoliang Peng:
LDCSF: Local depth convolution-based Swim framework for classifying multi-label histopathology images. CoRR abs/2308.10446 (2023) - [i8]Liangrui Pan, Lian Wang, Zhichao Feng, Liwen Xu, Shaoliang Peng:
CVFC: Attention-Based Cross-View Feature Consistency for Weakly Supervised Semantic Segmentation of Pathology Images. CoRR abs/2308.10449 (2023) - [i7]Liangrui Pan, Dazheng Liu, Zhichao Feng, Wenjuan Liu, Shaoliang Peng:
PACS: Prediction and analysis of cancer subtypes from multi-omics data based on a multi-head attention mechanism model. CoRR abs/2308.10917 (2023) - 2022
- [j47]Yingjie Cheng, Xiaoqi Wang, Xiaolan Xie, Wentao Li, Shaoliang Peng:
Channel pruning guided by global channel relation. Appl. Intell. 52(14): 16202-16213 (2022) - [j46]Yaning Yang, Xiaoqi Wang, Deshan Zhou, Dong-Qing Wei, Shaoliang Peng:
SVPath: an accurate pipeline for predicting the pathogenicity of human exon structural variants. Briefings Bioinform. 23(2) (2022) - [j45]Yanqing Yang, Deshan Zhou, Xinben Zhang, Yulong Shi, Jiaxin Han, Liping Zhou, Leyun Wu, Minfei Ma, Jintian Li, Shaoliang Peng, Zhijian Xu, Weiliang Zhu:
D3AI-CoV: a deep learning platform for predicting drug targets and for virtual screening against COVID-19. Briefings Bioinform. 23(3) (2022) - [j44]Liangrui Pan, Hetian Wang, Lian Wang, Boya Ji, Mingting Liu, Mitchai Chongcheawchamnan, Yuan Jin, Shaoliang Peng:
Noise-reducing attention cross fusion learning transformer for histological image classification of osteosarcoma. Biomed. Signal Process. Control. 77: 103824 (2022) - [j43]Zihang Wang, Yingbo Cui, Shaoliang Peng, Xiangke Liao, Yangbo Yu:
MinimapR: A parallel alignment tool for the analysis of large-scale third-generation sequencing data. Comput. Biol. Chem. 99: 107735 (2022) - [j42]Xia-an Bi, Hao Wu, Xi Hu, Yu Fu, Shaoliang Peng:
Clustering-Evolutionary Random Support Vector Machine Ensemble for fMRI-Based Asperger Syndrome Diagnosis. Comput. J. 65(2): 251-260 (2022) - [j41]Bin Xin, Yaning Yang, Xiaolan Xie, Jiandong Shang, Zhengyu Liu, Shaoliang Peng:
Detecting and Classifying Nuclei Using Multi-Scale Fully Convolutional Network. J. Comput. Biol. 29(10): 1095-1103 (2022) - [c64]Weiming Xiang, Yingbo Cui, Yaning Yang, Ang Zhang, Boya Ji, Shaoliang Peng:
MSVF: Multi-task Structure Variation Filter with Transfer Learning in High-throughput Sequencing. BIBM 2022: 293-296 - [c63]Hong Wang, Xiaoqi Wang, Wenjuan Liu, Xiaolan Xie, Shaoliang Peng:
deepDGA: Biomedical Heterogeneous Network-based Deep Learning Framework for Disease-Gene Association Predictions. BIBM 2022: 601-606 - [c62]Liangrui Pan, Lian Wang, Zhichao Feng, Zhujun Xu, Liwen Xu, Shaoliang Peng:
MGTUNet: An new UNet for colon nuclei instance segmentation and quantification. BIBM 2022: 1121-1125 - [c61]Xiongjun Zhao, Xiang Wang, Fenglei Yu, Jiandong Shang, Shaoliang Peng:
UniMed: Multimodal Multitask Learning for Medical Predictions. BIBM 2022: 1399-1404 - [c60]Xiongjun Zhao, Zhengyu Liu, Lin Han, Shaoliang Peng:
ECGNN: Enhancing Abnormal Recognition in 12-Lead ECG with Graph Neural Network. BIBM 2022: 1411-1416 - [c59]Xia Xiao, Xiaoqi Wang, Shengyun Liu, Shaoliang Peng:
MPCDDI: A Secure Multiparty Computation-Based Deep Learning Framework for Drug-Drug Interaction Predictions. ISBRA 2022: 263-274 - [c58]An Huang, Xiaolan Xie, Xiaoqi Wang, Shaoliang Peng:
A Multimodal Data Fusion-Based Deep Learning Approach for Drug-Drug Interaction Prediction. ISBRA 2022: 275-285 - [c57]Xinglong Zhang, Peng Xi, Wenjuan Liu, Shaoliang Peng:
EMRShareChain: A Privacy-Preserving EMR Sharing System Model Based on the Consortium Blockchain. ISBRA 2022: 343-355 - [i6]Xiaoqi Wang, Yingjie Cheng, Yaning Yang, Fei Li, Shaoliang Peng:
Multi-task Joint Strategies of Self-supervised Representation Learning on Biomedical Networks for Drug Discovery. CoRR abs/2201.04437 (2022) - [i5]Liangrui Pan, Hetian Wang, Lian Wang, Boya Ji, Mingting Liu, Mitchai Chongcheawchamnan, Yuan Jin, Shaoliang Peng:
Noise-reducing attention cross fusion learning transformer for histological image classification of osteosarcoma. CoRR abs/2204.13838 (2022) - [i4]Liangrui Pan, Zhichao Feng, Shaoliang Peng:
A review of machine learning approaches, challenges and prospects for computational tumor pathology. CoRR abs/2206.01728 (2022) - [i3]Liangrui Pan, Lian Wang, Mingting Liu, Zhujun Xu, Liwen Xu, Shaoliang Peng:
MGTUNet: An new UNet for colon nuclei instance segmentation and quantification. CoRR abs/2210.10981 (2022) - 2021
- [j40]Yanyi Chu, Xuhong Wang, Qiuying Dai, Yanjing Wang, Qiankun Wang, Shaoliang Peng, Xiaoyong Wei, Jingfei Qiu, Dennis Russell Salahub, Yi Xiong, Dong-Qing Wei:
MDA-GCNFTG: identifying miRNA-disease associations based on graph convolutional networks via graph sampling through the feature and topology graph. Briefings Bioinform. 22(6) (2021) - [j39]Xiaoqi Wang, Bin Xin, Weihong Tan, Zhijian Xu, Kenli Li, Fei Li, Wu Zhong, Shaoliang Peng:
DeepR2cov: deep representation learning on heterogeneous drug networks to discover anti-inflammatory agents for COVID-19. Briefings Bioinform. 22(6) (2021) - [j38]Deshan Zhou, Zhijian Xu, Wentao Li, Xiaolan Xie, Shaoliang Peng:
MultiDTI: drug-target interaction prediction based on multi-modal representation learning to bridge the gap between new chemical entities and known heterogeneous network. Bioinform. 37(23): 4485-4492 (2021) - [j37]Xiaoqi Wang, Yaning Yang, Kenli Li, Wentao Li, Fei Li, Shaoliang Peng:
BioERP: biomedical heterogeneous network-based self-supervised representation learning approach for entity relationship predictions. Bioinform. 37(24): 4793-4800 (2021) - [j36]Yingbo Cui, Zihang Wang, Johannes Köster, Xiangke Liao, Shaoliang Peng, Tao Tang, Chun Huang, Canqun Yang:
VISPR-online: a web-based interactive tool to visualize CRISPR screening experiments. BMC Bioinform. 22(1): 344 (2021) - [j35]Qin Liao, Gang Xiao, Shaoliang Peng:
Performance Improvement of Atmospheric Continuous-Variable Quantum Key Distribution with Untrusted Source. Entropy 23(6): 760 (2021) - [j34]Yuhan Yang, Chengnian Long, Jing Wu, Shaoliang Peng, Bo Li:
D2D-Enabled Mobile-Edge Computation Offloading for Multiuser IoT Network. IEEE Internet Things J. 8(16): 12490-12504 (2021) - [j33]Yingbo Cui, Xiaolong Cheng, Qing Chen, Bicna Song, Anthony Chiu, Yuan Gao, Tyson Dawson, Lumen Chao, Wubing Zhang, Dian Li, Zexiang Zeng, Jijun Yu, Zexu Li, Teng Fei, Shaoliang Peng, Wei Li:
CRISP-view: a database of functional genetic screens spanning multiple phenotypes. Nucleic Acids Res. 49(Database-Issue): D848-D854 (2021) - [j32]Deshan Zhou, Shaoliang Peng, Dong-Qing Wei, Wu Zhong, Yutao Dou, Xiaolan Xie:
LUNAR : Drug Screening for Novel Coronavirus Based on Representation Learning Graph Convolutional Network. IEEE ACM Trans. Comput. Biol. Bioinform. 18(4): 1290-1298 (2021) - [j31]Shaoliang Peng, Yaning Yang, Wei Liu, Fei Li, Xiangke Liao:
Discriminant Projection Shared Dictionary Learning for Classification of Tumors Using Gene Expression Data. IEEE ACM Trans. Comput. Biol. Bioinform. 18(4): 1464-1473 (2021) - [j30]Louxin Zhang, Shaoliang Peng, Yi-Ping Phoebe Chen, David Sankoff, Guoliang Li, Hong-Yu Zhang:
Guest Editorial for the 17th Asia Pacific Bioinformatics Conference. IEEE ACM Trans. Comput. Biol. Bioinform. 18(6): 2123-2124 (2021) - [c56]Jiechen Li, Xiangxiang Zeng, Yong Dou, Fei Xia, Shaoliang Peng:
LADstackING: Stacking Ensemble Learning-based Computational Model for Predicting Potential LncRNA-disease Associations. BIBM 2021: 177-182 - [c55]Boya Ji, Jiawei Luo, Liangrui Pan, Xiaolan Xie, Shaoliang Peng:
DFL-PiDA: Prediction of Piwi-interacting RNA-Disease Associations based on Deep Feature Learning. BIBM 2021: 406-411 - [c54]Weiming Xiang, Dong Chen, Yingbo Cui, Shaoliang Peng:
H-VAE: A Hybrid Variational AutoEncoder with Data Augmentation in Predicting CRISPR/Cas9 Off-target. BIBM 2021: 550-555 - [c53]Yaning Yang, Xiaoqi Wang, Ying Xu, Chao Yang, Bin Jiang, Shaoliang Peng:
ParaPindel: a scalable coordinated parallel detection framework for human genome-wide structural variation. BIBM 2021: 574-579 - [c52]Liangrui Pan, Peng Zhang, Fei Xia, Boya Ji, Wenjuan Liu, Hetian Wang, Yuan Jin, Mitchai Chongcheawchamnan, Shaoliang Peng:
FEDI: Few-shot learning based on Earth Mover's Distance algorithm combined with deep residual network to identify diabetic retinopathy. BIBM 2021: 1032-1036 - [c51]Xiongjun Zhao, Yingjie Cheng, Weiming Xiang, Xiang Wang, Lin Han, Jiandong Shang, Shaoliang Peng:
A Knowledge-aware Machine Reading Comprehension Framework for Dialogue Symptom Diagnosis. BIBM 2021: 1185-1190 - [c50]Bin Xin, Yaning Yang, Dongqing Wei, Shaoliang Peng:
CFCN: A Multi-scale Fully Convolutional Network with Dilated Convolution for Nuclei Classification and Localization. ISBRA 2021: 314-323 - [c49]Hao Liu, Xia Xiao, Xinglong Zhang, Kenli Li, Shaoliang Peng:
MIFS: A Peer-to-Peer Medical Images Storage and Sharing System Based on Consortium Blockchain. ISBRA 2021: 336-347 - [c48]Yonghui Cui, Zhijian Xu, Shaoliang Peng:
IDOS: Improved D3DOCK on Spark. ISBRA 2021: 436-447 - [i2]Shuting Jin, Xiangxiang Zeng, Wei Huang, Feng Xia, Changzhi Jiang, Xiangrong Liu, Shaoliang Peng:
Heterogeneous network-based drug repurposing for COVID-19. CoRR abs/2107.09217 (2021) - 2020
- [j29]Ying Xu, Cuijuan Yang, Shaoliang Peng, Yusuke Nojima:
A hybrid two-stage financial stock forecasting algorithm based on clustering and ensemble learning. Appl. Intell. 50(11): 3852-3867 (2020) - [j28]Lili Zhang, Xiaoping Wang, Kai Lu, Shaoliang Peng, Xiaodong Wang:
An efficient framework for generating robust adversarial examples. Int. J. Intell. Syst. 35(9): 1433-1449 (2020) - [j27]Wenzhang Zhuge, Chenping Hou, Shaoliang Peng, Dongyun Yi:
Joint consensus and diversity for multi-view semi-supervised classification. Mach. Learn. 109(3): 445-465 (2020) - [j26]Shaoliang Peng, Xiaoyu Zhang, Wenhe Su, Dong Dong, Yutong Lu, Xiangke Liao, Kai Lu, Canqun Yang, Jie Liu, Weiliang Zhu, Dongqing Wei:
High-Scalable Collaborated Parallel Framework for Large-Scale Molecular Dynamic Simulation on Tianhe-2 Supercomputer. IEEE ACM Trans. Comput. Biol. Bioinform. 17(3): 804-816 (2020) - [c47]Dong Chen, Wenjie Shu, Shaoliang Peng:
Predicting CRISPR-Cas9 Off-target with Self-supervised Neural Networks. BIBM 2020: 245-250 - [c46]Yahui Long, Yu Zhang, Min Wu, Shaoliang Peng, Chee Keong Kwoh, Jiawei Luo, Xiaoli Li:
Predicting Drugs for COVID-19/SARS-CoV-2 via Heterogeneous Graph Attention Networks. BIBM 2020: 455-459 - [c45]Xiaoyi Feng, Shaoliang Peng, Fei Li, Ying Xu, Xiangxiang Zeng, Dong-Qing Wei, Yunhao Liu:
A drug information embedding method based on graph convolution neural network. HealthCom 2020: 1-6 - [c44]Jiameng Liu, Shaoliang Peng, Jiawei Luo, Zhuo Tang, Hao Liu:
Segmented Encryption: A Quality and Safety Supervisory Model for Herbal Medicine Based on Blockchain Technology. HealthCom 2020: 1-6 - [c43]Yunhao Liu, Shaoliang Peng, Wenjie Shu, Bin Jiang, Chao Yang, Kun Xie:
Predicting functional elements and variants effects in non-coding regions based on deep learning. HealthCom 2020: 1-6 - [c42]Shaoliang Peng, Liang Bai, Li Xiong, Qiang Qu, Xiaolan Xie, Shulin Wang:
GeoAI-based Epidemic Control with Geo-Social Data Sharing on Blockchain. HealthCom 2020: 1-6 - [c41]Shaoliang Peng, Hao Huang, Minxia Cheng, Yaning Yang, Fei Li:
Efficiently recognition of vaginal micro-ecological environment based on Convolutional Neural Network. HealthCom 2020: 1-6 - [c40]Shaoliang Peng, Xiongjun Zhao, Xiaoyong Wei, Donqing Wei, Yuehua Peng:
Multi-View Weighted Feature Fusion Using CNN for Pneumonia Detection on Chest X-Rays. HealthCom 2020: 1-6 - [c39]Shaoliang Peng, Lei Zhang, Yaning Yang, Wei Liu, Fei Li, Hao Hong, Kenli Li, Shulin Wang:
A deep metric learning algorithm for similarity measure of the gene expression profile. HealthCom 2020: 1-6 - [c38]Di Yang, Chengnian Long, Han Xu, Shaoliang Peng:
A Review on Scalability of Blockchain. ICBCT 2020: 1-6 - [c37]Jiameng Liu, Shaoliang Peng, Chengnian Long, Lijun Wei, Yunhao Liu, Zhihui Tian:
Blockchain for Data Science. ICBCT 2020: 24-28 - [c36]Yaning Yang, Xiaoqi Wang, Shaoliang Peng:
A Dynamic Protection Mechanism for GPU Memory Overflow. NPC 2020: 30-40 - [c35]Dong Chen, Shaoliang Peng, Kenli Li, Ying Xu, Jinling Zhang, Xiaolan Xie:
Re-ranking Answer Selection with Similarity Aggregation. SIGIR 2020: 1677-1680
2010 – 2019
- 2019
- [j25]Gaole An, Jiaqi Sun, Chao Ren, Zhangyi Ouyang, Lingyun Zhu, Xiaochen Bo, Shaoliang Peng, Wenjie Shu:
LIVE: a manually curated encyclopedia of experimentally validated interactions of lncRNAs. Database J. Biol. Databases Curation 2019: baz011 (2019) - [j24]Xinguo Lu, Xin Qian, Xing Li, Qiumai Miao, Shaoliang Peng:
DMCM: a Data-adaptive Mutation Clustering Method to identify cancer-related mutation clusters. Bioinform. 35(3): 389-397 (2019) - [j23]Benyun Shi, Guangliang Liu, Hongjun Qiu, Yu-Wang Chen, Shaoliang Peng:
Voluntary Vaccination through Perceiving Epidemic Severity in Social Networks. Complex. 2019: 3901218:1-3901218:13 (2019) - [j22]Weiwei Lin, Zilong Zhang, Shaoliang Peng:
Academic research trend analysis based on big data technology. Int. J. Comput. Sci. Eng. 20(1): 31-39 (2019) - [j21]Shaoliang Peng, Yingbo Cui, Shunyun Yang, Wenhe Su, Xiaoyu Zhang, Tenglilang Zhang, Weiguo Liu, Xingming Zhao:
A CPU/MIC Collaborated Parallel Framework for GROMACS on Tianhe-2 Supercomputer. IEEE ACM Trans. Comput. Biol. Bioinform. 16(2): 425-433 (2019) - [j20]Tiansheng Huang, Weiwei Lin, Yin Li, Ligang He, Shaoliang Peng:
A Latency-Aware Multiple Data Replicas Placement Strategy for Fog Computing. J. Signal Process. Syst. 91(10): 1191-1204 (2019) - [c34]Qi Niu, Shaoliang Peng, Xiang-Li-Lan Zhang, Shuai Cheng Li, Ying Xu, Xiang-Cheng Xie, Yi-Gang Tong:
LysoPhD: predicting functional prophages in bacterial genomes from high-throughput sequencing. BIBM 2019: 1-5 - [c33]Zhe Sun, Shaoliang Peng, Yaning Yang, Xiaoqi Wang, Fei Li:
A General Fine-tuned Transfer Learning Model for Predicting Clinical Task Acrossing Diverse EHRs Datasets. BIBM 2019: 490-495 - [c32]Xing Hu, Shaoliang Peng, Chengnian Long, Hongbo Jiang, Lijun Wei:
vGuard: A Spatiotemporal Efficiency Supervision Method For Vaccine Production Based On Double-level Blockchain. BIBM 2019: 1037-1042 - [c31]Zekun Yin, Hao Zhang, Kai Xu, Yuandong Chan, Shaoliang Peng, Xiaoning Wang, Bertil Schmidt, Weiguo Liu:
XLCS: A New Bit-Parallel Longest Common Subsequence Algorithm on Xeon Phi Clusters. HPCC/SmartCity/DSS 2019: 1477-1483 - 2018
- [j19]Shunyun Yang, Runxin Guo, Rui Liu, Xiangke Liao, Quan Zou, Benyun Shi, Shaoliang Peng:
cmFSM: a scalable CPU-MIC coordinated drug-finding tool by frequent subgraph mining. BMC Bioinform. 19-S(4): 35-47 (2018) - [j18]Shaoliang Peng, Minxia Cheng, Kaiwen Huang, Yingbo Cui, Zhiqiang Zhang, Runxin Guo, Xiaoyu Zhang, Shunyun Yang, Xiangke Liao, Yutong Lu, Quan Zou, Benyun Shi:
Efficient computation of motif discovery on Intel Many Integrated Core (MIC) Architecture. BMC Bioinform. 19-S(9): 185-194 (2018) - [j17]Yingbo Cui, Shaoliang Peng, Yutong Lu, Xiaoqian Zhu, Bingqiang Wang, Chengkun Wu, Xiangke Liao:
mSNP: A Massively Parallel Algorithm for Large-Scale SNP Detection. IEEE Trans. Parallel Distributed Syst. 29(11): 2557-2567 (2018) - [j16]Shanshan Li, Wang Li, Xiangke Liao, Shaoliang Peng, Shulin Zhou, Zhouyang Jia, Teng Wang:
ConfVD: System Reactions Analysis and Evaluation Through Misconfiguration Injection. IEEE Trans. Reliab. 67(4): 1393-1405 (2018) - 2017
- [j15]Shaoliang Peng, Shunyun Yang, Ming Gao, Xiangke Liao, Jie Liu, Canqun Yang, Chengkun Wu, Wenqiang Yu:
P-Hint-Hunt: a deep parallelized whole genome DNA methylation detection tool. BMC Genom. 18(S2) (2017) - [j14]Wenhe Su, Xiangke Liao, Yutong Lu, Quan Zou, Shaoliang Peng:
Multiple Sequence Alignment Based on a Suffix Tree and Center-Star Strategy: A Linear Method for Multiple Nucleotide Sequence Alignment on Spark Parallel Framework. J. Comput. Biol. 24(12): 1230-1242 (2017) - [c30]Xiaoyu Zhang, Xiangke Liao, Hao Zhu, Kenli Li, Benyun Shi, Shaoliang Peng:
A novel algorithm for detecting co-evolutionary domains in protein and nucleotide sequences. BIBM 2017: 56-61 - [c29]Shaoliang Peng, Xiaoyu Zhang, Shunyun Yang, Wenhe Su, Zhiqiang Zhang, Dong Dong, Kai Lu, Yutong Lu, Xiangke Liao, Bertil Schmidt, Weiliang Zhu, Kuan-Ching Li:
mD3DOCKxb: An Ultra-Scalable CPU-MIC Coordinated Virtual Screening Framework. CCGrid 2017: 671-676 - 2016
- [j13]Haidong Lan, Yuandong Chan, Kai Xu, Bertil Schmidt, Shaoliang Peng, Weiguo Liu:
Parallel algorithms for large-scale biological sequence alignment on Xeon-Phi based clusters. BMC Bioinform. 17(S-9): 267 (2016) - [c28]Shaoliang Peng:
High performance computational biology and drug design on TianHe Supercomputers. BIBM 2016: 7 - [c27]Shaoliang Peng, Xiaoyu Zhang, Yutong Lu, Xiangke Liao, Kai Lu, Canqun Yang, Jie Liu, Weiliang Zhu, Dongqing Wei:
mAMBER: A CPU/MIC collaborated parallel framework for AMBER on Tianhe-2 supercomputer. BIBM 2016: 651-657 - [e2]Wanxiang Che, Qilong Han, Hongzhi Wang, Weipeng Jing, Shaoliang Peng, Junyu Lin, Guanglu Sun, Xianhua Song, Hongtao Song, Zeguang Lu:
Social Computing - Second International Conference of Young Computer Scientists, Engineers and Educators, ICYCSEE 2016, Harbin, China, August 20-22, 2016, Proceedings, Part I. Communications in Computer and Information Science 623, Springer 2016, ISBN 978-981-10-2052-0 [contents] - [e1]Wanxiang Che, Qilong Han, Hongzhi Wang, Weipeng Jing, Shaoliang Peng, Junyu Lin, Guanglu Sun, Xianhua Song, Hongtao Song, Zeguang Lu:
Social Computing - Second International Conference of Young Computer Scientists, Engineers and Educators, ICYCSEE 2016, Harbin, China, August 20-22, 2016, Proceedings, Part II. Communications in Computer and Information Science 624, Springer 2016, ISBN 978-981-10-2097-1 [contents] - 2015
- [j12]Ruibang Luo, Jeanno Cheung, Edward Wu, Heng Wang, Sze-Hang Chan, Wai-Chun Law, Guangzhu He, Chang Yu, Chi-Man Liu, Dazong Zhou, Yingrui Li, Ruiqiang Li, Jun Wang, Xiaoqian Zhu, Shaoliang Peng, Tak Wah Lam:
MICA: A fast short-read aligner that takes full advantage of Many Integrated Core Architecture (MIC). BMC Bioinform. 16(S-7): S10 (2015) - [j11]Jing Zhang, Shanshan Li, Xiangke Liao, Shaoliang Peng, Xiaodong Liu, Zhouyang Jia:
HeMatch: A redundancy layout placement scheme for erasure-coded storages in practical heterogeneous failure patterns. Sci. China Inf. Sci. 58(6): 1-11 (2015) - [j10]Ettore Murabito, Riccardo Colombo, Chengkun Wu, Malkhey Verma, Samrina Rehman, Jacky L. Snoep, Shaoliang Peng, Naiyang Guan, Xiangke Liao, Hans V. Westerhoff:
SupraBiology 2014: Promoting UK-China collaboration on Systems Biology and High Performance Computing. Quant. Biol. 3(1): 46-53 (2015) - [j9]Xiangke Liao, Shaoliang Peng, Yutong Lu, Yingbo Cui, Chengkun Wu, Heng Wang, Jiajun Wen:
Neo-hetergeneous Programming and Parallelized Optimization of a Human Genome Re-sequencing Analysis Software Pipeline on TH-2 Supercomputer. Supercomput. Front. Innov. 2(1): 73-83 (2015) - [c26]Qian Cheng, Shaoliang Peng, Yutong Lu, Weiliang Zhu, Zhijian Xu, Xinben Zhang:
mD3DOCKxb: A Deep Parallel Optimized Software for Molecular Docking with Intel Xeon Phi Coprocessors. CCGRID 2015: 725-728 - [c25]Xin Liu, Shaoliang Peng, Canqun Yang, Chengkun Wu, Haiqiang Wang, Qian Cheng, Weiliang Zhu, Jinan Wang:
mAMBER: Accelerating Explicit Solvent Molecular Dynamic with Intel Xeon Phi Many-Integrated Core Coprocessors. CCGRID 2015: 729-732 - [c24]Haiqiang Wang, Shaoliang Peng, Xiaoqian Zhu, Chengkun Wu, Xin Liu, Qian Chen, Weiliang Zhu, Jinan Wang, Huaiyu Yang:
A Method to Accelerate GROMACS in Offload Mode on Tianhe-2 Supercomputer. CCGRID 2015: 781-784 - [c23]Shaoliang Peng, Xiangke Liao, Canqun Yang, Yutong Lu, Jie Liu, Yingbo Cui, Heng Wang, Chengkun Wu, Bingqiang Wang:
The Challenge of Scaling Genome Big Data Analysis Software on TH-2 Supercomputer. CCGRID 2015: 823-828 - [c22]Yingbo Cui, Xiangke Liao, Shaoliang Peng, Yutong Lu, Canqun Yang, Bingqiang Wang, Chengkun Wu:
Large-Scale Neo-Heterogeneous Programming and Optimization of SNP Detection on Tianhe-2. ISC 2015: 74-86 - [c21]Heng Wang, Shaoliang Peng, Yutong Lu, Chengkun Wu, Jiajun Wen, Jie Liu, Xiaoqian Zhu:
BWTCP: A Parallel Method for Constructing BWT in Large Collection of Genomic Reads. ISC 2015: 171-178 - 2014
- [j8]Xiaodong Liu, Mo Li, Shanshan Li, Shaoliang Peng, Xiangke Liao, Xiaopei Lu:
IMGPU: GPU-Accelerated Influence Maximization in Large-Scale Social Networks. IEEE Trans. Parallel Distributed Syst. 25(1): 136-145 (2014) - [j7]Xiaodong Liu, Shanshan Li, Xiangke Liao, Shaoliang Peng, Lei Wang, Zhiyin Kong:
Know by a handful the whole sack: efficient sampling for top-k influential user identification in large graphs. World Wide Web 17(4): 627-647 (2014) - [c20]Yingbo Cui, Xiangke Liao, Xiaoqian Zhu, Bingqiang Wang, Shaoliang Peng:
mBWA: A Massively Parallel Sequence Reads Aligner. PACBB 2014: 113-120 - [i1]