Shaoliang Peng

ORCID

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 115

Top Venues

Publications

Peng Peng, Weiwei Lin, Wentai Wu, Haotong Zhang, Shaoliang Peng, Qingbo Wu, Keqin Li
A survey on computation offloading in edge systems: From the perspective of deep reinforcement learning approaches. Comput. Sci. Rev. 53 (2024)
Xiaoqi Wang, Yuqi Wen, Yixin Zhang, Chong Dai, Yaning Yang, Xiaochen Bo, Song He, Shaoliang Peng
A hierarchical attention network integrating multi-scale relationship for drug response prediction. Inf. Fusion 110 (2024)
Liangrui Pan, Zhenyu Zhao, Ying Lu, Kewei Tang, Liyong Fu, Qingchun Liang, Shaoliang Peng
Opportunities and challenges in the application of large artificial intelligence models in radiology. CoRR (2024)
Boya Ji, Haitao Zou, Liwen Xu, Xiaolan Xie, Shaoliang Peng
MUSCLE: multi-view and multi-scale attentional feature fusion for microRNA-disease associations prediction. Briefings Bioinform. 25 (3) (2024)
Yanan Tian, Chenbin Wang, Ruiqiang Lu, Henry H. Y. Tong, Xiaoqing Gong, Jiayue Qiu, Shaoliang Peng, Xiaojun Yao, Huanxiang Liu
3DSGIMD: An accurate and interpretable molecular property prediction method using 3D spatial graph focusing network and structure-based feature fusion. Future Gener. Comput. Syst. 161 (2024)
Liangrui Pan, Yijun Peng, Yan Li, Xiang Wang, Wenjuan Liu, Liwen Xu, Qingchun Liang, Shaoliang Peng
SELECTOR: Heterogeneous graph network with convolutional masked autoencoder for multimodal robust prediction of cancer survival. CoRR (2024)
Peng Xi, Wenjuan Tang, Shaoliang Peng
Fighting Fire with Fire: Medical AI Models Defend Against Backdoor Attacks via Self-learning. ISBRA (1) (2024)
Liangrui Pan, Yijun Peng, Yan Li, Yiyi Liang, Liwen Xu, Qingchun Liang, Shaoliang Peng
FORESEE: Multimodal and Multi-view Representation Learning for Robust Prediction of Cancer Survival. CoRR (2024)
Liangrui Pan, Yijun Peng, Yan Li, Xiang Wang, Wenjuan Liu, Liwen Xu, Qingchun Liang, Shaoliang Peng
SELECTOR: Heterogeneous graph network with convolutional masked autoencoder for multimodal robust prediction of cancer survival. Comput. Biol. Medicine 172 (2024)
Wenwu Zeng, Xuan Yu, Jiandong Shang, Peng Zhao, Wenjuan Liu, Jun Hu, Shaoliang Peng
LBi-DBP, an accurate DNA-binding protein prediction method based lightweight interpretable BiLSTM network. Expert Syst. Appl. 249 (2024)
Wenwu Zeng, Dafeng Lv, Xuan Liu, Guo Chen, Wenjuan Liu, Shaoliang Peng
ESM-NBR: fast and accurate nucleic acid-binding residue prediction via protein language model feature representation and multi-task learning. BIBM (2023)
Liangrui Pan, Pinle Qin, Pengfei Rong, Xiangxiang Zeng, Dazheng Liu, Shaoliang Peng
PACS: Prediction and analysis of cancer subtypes from multi-omics data based on a multi-head attention mechanism model. BIBM (2023)
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 (2023)
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 (2023)
Liangrui Pan, Guo Chen, Wenjuan Liu, Liwen Xu, Xuan Liu, Shaoliang Peng
LDCSF: Local depth convolution-based Swim framework for classifying multi-label histopathology images. BIBM (2023)
Liang Pan, Xia Xiao, Shengyun Liu, Shaoliang Peng
An Integration Framework of Secure Multiparty Computation and Deep Neural Network for Improving Drug-Drug Interaction Predictions. J. Comput. Biol. 30 (9) (2023)
Feng Zhao, Hui Li, Shaoliang Peng, Xiyu Wang, Ping Lu, Qianbin Chen, Weixiang Huang, Jianping Wu, Xiang Zhu, Selwyn Deng, Hanxu Hou, Jieren Cheng, Han Wang
EMIS: A Uniform Management and Resolution System of Multiple Identifiers on Ethereum. Blockchain (2023)
Yutao Dou, Wei Li, Yucen Nan, Yidi Zhang, Shaoliang Peng
Feature augmentation and semi-supervised conditional transfer learning for early detection of sepsis. Comput. Biol. Medicine 165 (2023)
Liwen Xu, Boya Ji, Yijun Peng, Wending Pi, Xiangxiang Zeng, Peng Zhao, Shaoliang Peng
ImmRegInformer: an interpretable Transformer-based method for prioritizing immune-regulatory cancer drivers. BIBM (2023)
Yutao Dou, Yangtao Zheng, Dazheng Liu, Keqin Li, Sheng Xiao, Shaoliang Peng
ParaMET: A Parallel Framework for Efficient Medical Data Extraction on Tianhe-NG Supercomputer. BIBM (2023)
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 (2023)
Liangrui Pan, Yutao Dou, Zhichao Feng, Liwen Xu, Shaoliang Peng
LDCSF: Local depth convolution-based Swim framework for classifying multi-label histopathology images. CoRR (2023)
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 (2023)
Wenwu Zeng, Dafeng Lv, Wenjuan Liu, Shaoliang Peng
ESM-NBR: fast and accurate nucleic acid-binding residue prediction via protein language model feature representation and multi-task learning. CoRR (2023)
Liangrui Pan, Keqin Li, Wenjuan Liu, Liwen Xu, Zhichao Feng, Shaoliang Peng
CVFC: Attention-Based Cross-View Feature Consistency for Weakly Supervised Semantic Segmentation of Pathology Images. BIBM (2023)
Peng Xi, Wenjuan Tang, Kun Xie, Xuan Liu, Peng Zhao, Shaoliang Peng
RobustHealthFL: Robust Strategy Against Malicious Clients in Non-iid Healthcare Federated Learning. BIBM (2023)
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 (2023)
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 (2023)
Yutao Dou, Zhengyu Liu, Xiongjun Zhao, Kun Xie, Guo Chen, Shaoliang Peng
An Attention-based Label Mapping and Multi-factor Domain Adaptation Approach for ACS Prediction. BIBM (2023)
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)
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)
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 (2023)
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) (2023)
An Huang, Xiaolan Xie, Xiaojun Yao, Huanxiang Liu, Xiaoqi Wang, Shaoliang Peng
HF-DDI: Predicting Drug-Drug Interaction Events Based on Multimodal Hybrid Fusion. J. Comput. Biol. 30 (9) (2023)
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)
Kun Ran, Yingbo Cui, Zihang Wang, Shaoliang Peng
Performance Evaluation of Spark, Ray and MPI: A Case Study on Long Read Alignment Algorithm. ICA3PP (3) (2023)
Xiongjun Zhao, Zhengyu Liu, Lin Han, Shaoliang Peng
ECGNN: Enhancing Abnormal Recognition in 12-Lead ECG with Graph Neural Network. BIBM (2022)
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)
An Huang, Xiaolan Xie, Xiaoqi Wang, Shaoliang Peng
A Multimodal Data Fusion-Based Deep Learning Approach for Drug-Drug Interaction Prediction. ISBRA (2022)
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 (2022)
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)
Xia Xiao, Xiaoqi Wang, Shengyun Liu, Shaoliang Peng
MPCDDI: A Secure Multiparty Computation-Based Deep Learning Framework for Drug-Drug Interaction Predictions. ISBRA (2022)
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) (2022)
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 (2022)
Liangrui Pan, Lian Wang, Mingting Liu, Zhujun Xu, Liwen Xu, Shaoliang Peng
MGTUNet: An new UNet for colon nuclei instance segmentation and quantification. CoRR (2022)
Xiongjun Zhao, Xiang Wang, Fenglei Yu, Jiandong Shang, Shaoliang Peng
UniMed: Multimodal Multitask Learning for Medical Predictions. BIBM (2022)
Yingjie Cheng, Xiaoqi Wang, Xiaolan Xie, Wentao Li, Shaoliang Peng
Channel pruning guided by global channel relation. Appl. Intell. 52 (14) (2022)
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)
Xinglong Zhang, Peng Xi, Wenjuan Liu, Shaoliang Peng
EMRShareChain: A Privacy-Preserving EMR Sharing System Model Based on the Consortium Blockchain. ISBRA (2022)
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)
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) (2022)
Liangrui Pan, Zhichao Feng, Shaoliang Peng
A review of machine learning approaches, challenges and prospects for computational tumor pathology. CoRR (2022)
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)
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 (2022)
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 (2022)
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) (2021)
Liangrui Pan, Boya Ji, Peng Xi, Xiaoqi Wang, Mitchai Chongcheawchamnan, Shaoliang Peng
FEDI: Few-shot learning based on Earth Mover's Distance algorithm combined with deep residual network to identify diabetic retinopathy. CoRR (2021)
Shuting Jin, Xiangxiang Zeng, Wei Huang, Feng Xia, Changzhi Jiang, Xiangrong Liu, Shaoliang Peng
Heterogeneous network-based drug repurposing for COVID-19. CoRR (2021)
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) (2021)
Yonghui Cui, Zhijian Xu, Shaoliang Peng
IDOS: Improved D3DOCK on Spark. ISBRA (2021)
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)
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)
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)
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)
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)
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) (2021)
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) (2021)
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)
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)
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) (2021)
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) (2021)
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)
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)
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) (2021)
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)
Qin Liao, Gang Xiao, Shaoliang Peng
Performance Improvement of Atmospheric Continuous-Variable Quantum Key Distribution with Untrusted Source. Entropy 23 (6) (2021)
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) (2021)
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)
Lili Zhang, Xiaoping Wang, Kai Lu, Shaoliang Peng, Xiaodong Wang
An efficient framework for generating robust adversarial examples. Int. J. Intell. Syst. 35 (9) (2020)
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)
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)
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)
Yaning Yang, Xiaoqi Wang, Shaoliang Peng
A Dynamic Protection Mechanism for GPU Memory Overflow. NPC (2020)
Wenzhang Zhuge, Chenping Hou, Shaoliang Peng, Dongyun Yi
Joint consensus and diversity for multi-view semi-supervised classification. Mach. Learn. 109 (3) (2020)
Shaoliang Peng, Hao Huang, Minxia Cheng, Yaning Yang, Fei Li
Efficiently recognition of vaginal micro-ecological environment based on Convolutional Neural Network. HealthCom (2020)
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) (2020)
Dong Chen, Wenjie Shu, Shaoliang Peng
Predicting CRISPR-Cas9 Off-target with Self-supervised Neural Networks. BIBM (2020)
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)
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)
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) (2020)
Di Yang, Chengnian Long, Han Xu, Shaoliang Peng
A Review on Scalability of Blockchain. ICBCT (2020)
Jiameng Liu, Shaoliang Peng, Chengnian Long, Lijun Wei, Yunhao Liu, Zhihui Tian
Blockchain for Data Science. ICBCT (2020)
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)
Dong Chen, Shaoliang Peng, Kenli Li, Ying Xu, Jinling Zhang, Xiaolan Xie
Re-ranking Answer Selection with Similarity Aggregation. SIGIR (2020)
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) (2019)
Benyun Shi, Guangliang Liu, Hongjun Qiu, Yu-Wang Chen, Shaoliang Peng
Voluntary Vaccination through Perceiving Epidemic Severity in Social Networks. Complex. 2019 (2019)
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)
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) (2019)
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)
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)

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Publication Activity (10 Years)

Top Topics

Top Venues

Shaoliang Peng