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（1）代表论文
Yutao Dou, Wei Li, Yangtao Zheng, Xiaojun Yao, Huanxiang Liu, Albert Y.Zomaya and ShaoliangPeng*, Quick-MIMIC: A Multimodal DataExtraction Pipeline for MIMIC with Parallelization, Big Data Mining andAnalytics(中科院一区,IF 13.6)
Wenwu Zeng, Yutao Dou, Liangrui Pan, Liwen Xu*, Shaoliang Peng*. Improving prediction performance of general protein language model by domain-adaptive pretraining on DNA-binding protein. Nature Communications, 2024. (中科院一区，top期刊)
Boya Ji, Xiaoqi Wang, Debin Qiao, Liwen Xu*, Shaoliang Peng*. SpaCCC: Large language model-based cell-cell communication inference for spatially resolved transcriptomic data[J]. Big Data Mining and Analysis, 2024: 2024.02. 21.581369. 中科院一区
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 drugresponse prediction. Information Fusion,2024.(CCF A类期刊，IF18.6，通讯作者)
Xiongjun Zhao, ZhengYu Liu, Fen Liu, Guanting Li, Yutao Dou, Shaoliang Peng*. Report-Concept Textual-Prompt Learning for Enhancing X-ray Diagnosis. ACM MM,2024.(CCF A类会议，通讯作者)
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. Computers and Electronics in Agriculture, 2023. (中科院一区，top期刊)
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 in Bioinformatics, 2023. (中科院一区，top期刊，通讯作者)
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 Generation Computer Systems, 2023. (SCI 1区, top期刊, 第一作者、通讯作者) 原文链接
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. Nature Machine Intelligence, 2023. 原文链接
Xiaoxiao Cheng, Chong Dai, Yuqi Wen, Xiaoqi Wang, Song He, Xiaochen Bo, Shaoliang Peng*. NeRD: a multichannel neural network to predict cellular response of drugs by integrating multidimensional data. BMC Medicine, 2022. 原文链接
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 in Bioinformatics, 2022.
Xiaoqi Wang, Yaning Yang, Kenli Li, Wentao Li, Fei Li, and Shaoliang Peng*. BioERP: biomedical heterogeneous network based self-supervised representation learning approach for entity relationship predictions. Bioinformatics, 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. Bioinformatics, DOI: https://doi.org/10.1093/bioinformatics/btab473, 2021. 原文链接.
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 in Bioinformatics, 2021.DOI:10.1093/bib/bbab226 (SCI 1区, IF=11.62, 通讯作者) 原文链接.
J Li, Y Li, W Li, H Luo, Y Xi, S Dong, M Gao, ... S Peng*, F Wu and W Yu. Guide Positioning Sequencingidentifies aberrant DNA methylation patterns that alter cell identity andtumor-immune surveillance networks. Genome Research. 2019, 29:270-280. (SCI一区, top期刊，IF=10.10，并列通讯作者) 原文链接；
Zhang, Z.,Zhao, Y., Liao, X., Shi, W., Li, K., Zou, Q*., Peng, S.* Deep Learning in omics: a survey and guideline. Briefings in Functional Genomics, 2019,18(1):41–57.（ESI高被引论文，并列通讯作者）原文链接；
Shaoliang Peng* , Yingbo Cui , Shunyun Yang , Wenhe Su , Tenglilang Zhang , et al. A CPU/MIC Collaborated Parallel Framework for GROMACS on Tianhe-2 Supercomputer. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 2019,16(2):425 - 433.（JCR一区，CCF B类，第一作者、通讯作者）原文链接；
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. 2019:1-6.（JCR一区，通讯作者）原文链接；
Bu, D., Peng, S.*, Luo, H., Li, X., Li, H., Sun, L., ... & Yi, Z. From big data to knowledge in precision medicine. Science. 2018:359(6375):P35-38. （并列第一作者） 原文链接；
Guo, R., Zhao, Y., Zou Q., Fang X., & Peng, S.* Bioinformatics applications on Apache Spark. GigaScience. 2018,7(8):1-10.（SCI一区，top期刊，通讯作者）原文链接；
Cui, Y., Peng, S.*,Lu, Y., Zhu, X., Wang, B., Wu, C., & Liao, X. mSNP: A Massively Parallel Algorithm for Large-Scale SNP Detection. IEEE Transactions on Parallel and Distributed Systems. 2018,29(11):2557-2567. (JCR一区，CCF A类，通讯作者) 原文链接；
Peng, S., Lu, Y., Liao, X., Lu, K., Yang, C., ... & Wei, D. High-scalable Collaborated Parallel Framework for Large-scale Molecular Dynamic Simulation on Tianhe-2 Supercomputer. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 2018,13:1-1（JCR一区，CCF B类，第一作者、通讯作者）原文链接；
Dong, D., Su, W., Shi, W.,Zou, Q., & Peng, S.* (2018). VCSRA: A fast and accurate multiple sequence alignment algorithm with a high degree of parallelism. Journal of Genetics and Genomics. 2018,45(7): 407–410.（JCR一区，通讯作者）原文链接；
Peng, S., Yang, S.,Bo, X., & Li, F. paraGSEA: a scalable approach for large-scale gene expression profiling. Nucleic acids research. 2017,45(17),e155-e155（SCI一区，top期刊，IF=11.15，第一作者）原文链接；
Liao, X., Zhu,H., Li, K., Shi, B., & Peng, S.* A novel algorithm for detecting co-evolutionary domains in protein and nucleotide sequences. In 2017 IEEE International Conference on Bioinformatics and Biomedicine(BIBM) (pp. 56-61). (CCF B类会议，第一作者、并列通讯作者) 原文链接；
Xiao, M., Li, J., Li, W.,Wang, Y., Wu, F., Xi, Y., ... & Peng, S. .MicroRNAs activategene transcription epigenetically as an enhancer trigger. RNAbiology. 2017,14(10),1326-1334（JCR一区，通讯作者）.原文链接；
Peng, S. High performance computational biology and drug design on TianHe Supercomputers. In 2016 IEEE International Conference on Bioinformatics and Biomedicine(BIBM) (pp. 7-7).(CCF B类会议，第一作者、通讯作者).原文链接；
Peng, S., Lu, Y., Liao, X., Lu, K., Yang, C., ... & Wei, D. mAMBER:A CPU/MIC collaborated parallel framework for AMBER on Tianhe-2 supercomputer. In 2016 IEEE International Conference on Bioinformatics and Biomedicine(BIBM) (pp. 651-657). (CCF B类会议，第一作者）.原文链接；
Liu, X., Li, M., Li, S., Peng,S*., Liao, X., & Lu, X. IMGPU: GPU-accelerated influence maximization in large-scale social networks. IEEE Transactions on Paralleland Distributed Systems. 2014,25(1):136-145.（JCR一区，CCF A类，并列通讯作者）原文链接；
Peng, S., Xing, G.,Li, S., Jia, W., & Peng, Y. Fast release/capture sampling inlarge-scale sensor networks. IEEE Transactions on Mobile Computing. 2012,11(8),1274-1286 (JCR一区，CCF A类，第一作者、通讯作者) 原文链接；
Luo, R., Liu, B., Xie, Y.,Li, Z., Huang, W., Yuan, J., ... & Peng, S. SOAPdenovo2: an empirically improved memory-efficient short-read de novo assembler. Gigascience.2012, 1(1), 18.（ESI高被引论文，引用次数超过1943，SCI一区，top期刊）原文链接；
（2）所有论文
2024年
[238] Yutao Dou, Wei Li, Yangtao Zheng, Xiaojun Yao, Huanxiang Liu, Albert Y.Zomaya and ShaoliangPeng*, Quick-MIMIC: A Multimodal DataExtraction Pipeline for MIMIC with Parallelization, Big Data Mining andAnalytics(中科院一区,IF 13.6)
[237] Dazheng Liu, Xiaoli Ren, Jianping Wu, Wenjuan Liu, Juan Zhao, Shaoliang Peng*. Pipe-AGCM: A Fine-Grain Pipelining Scheme for Optimizing the Parallel Atmospheric General Circulation Model. European Conference on Parallel Processing, 2024
[236] Boya Ji, Xiaoqi Wang, Debin Qiao, Liwen Xu*, Shaoliang Peng*. SpaCCC: Large language model-based cell-cell communication inference for spatially resolved transcriptomic data[J]. Big Data Mining and Analysis, 2024: 2024.02. 21.581369. 中科院一区
[235] Wenwu Zeng, Yutao Dou, Liangrui Pan, Liwen Xu*, Shaoliang Peng*. Improving prediction performance of general protein language model by domain-adaptive pretraining on DNA-binding protein. Nature Communications, 2024. (中科院一区，top期刊)
[234] Xiongjun Zhao, ZhengYu Liu, Fen Liu, Guanting Li, Yutao Dou, Shaoliang Peng*. Report-Concept Textual-Prompt Learning for Enhancing X-ray Diagnosis. ACM MM,2024.(CCF A类会议，通讯作者)
[233] Yutao Dou, Wei Li, Yangtao Zheng, Xiaojun Yao, Huanxiang Liu, Albert Y.Zomaya and Shaoliang Peng,“Quick-MIMIC: A Multimodal Data Extraction Pipeline for MIMIC with Parallelization”, Big Data Mining and Analytics(中科院1区TOP, IF 13.6)
[232] Yutao Dou, Yuwei Huang, Xiongjun Zhao, Haitao Zou, Jian Xiao, and Shaoliang Peng, “ShennongMGS: A LLM-based Chinese Medication Guidance System”, ACM Transactions on Management Information Systems . (JCR Q2)
[231] Peng Xi, Wenjuan Tang, Shaoliang Peng*. Fighting Fire with Fire: Medical AI ModelsDefend Against Backdoor Attacksvia Self-learning. The 20th International Symposium on Bioinformatics Research and Application (ISBRA 2024).
[230] 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 drugresponse prediction. Information Fusion, 2024. (CCF A类期刊，IF=18.6，通讯作者)
[229]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, 2024.
[228]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, Meta-Radiology, 2024.
[227]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 in Bioinformatics, 2024.
[226]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, Computers in Biology and Medicine, 2024.
[225]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 Systems with Applications, 2024.
[224]Haitao Zou, Boya Ji, Meng Zhang, Fen Liu, Xiaolan Xie, Shaoliang Peng*. MHGTMDA: molecular heterogeneous graph transformer based on biological entity graph for miRNA-disease associations prediction, Molecular Therapy-Nucleic Acids, 2024.
[223]Yutao Dou, Yuwei Huang, Xiongjun Zhao, Haitao Zou, Jiandong Shang, Ying Lu, Xiaolin Yang, Jian Xiao, Shaoliang Peng*. ShennongMGS: An LLM-based chinese medication guidance system, ACM Transactions on Management Information Systems, 2024.
[222]Bo-Ya Ji, Xiao-Qi Wang, Xiang Wang, Li-Wen Xu, Shaoliang Peng*. Multi-view graph learning for deciphering the dominant cell communication assembly of downstream functional events from single-cell RNA-seq data, bioRxiv, 2024.
[221]Bo-Ya Ji, Li-Wen Xu, Shaoliang Peng*. SpaCCC: Large language model-based cell-cell communication inference for spatially resolved transcriptomic data, bioRxiv, 2024.
[220]Jinjing Shi, Tongge Zhao, Yizhi Wang, Chunlin Yu, Yuhu Lu, JiaJie Wu, Ronghua Shi, Shichao Zhang, Shaoliang Peng, Junjie Wu. An unbiased quantum random number generator based on boson sampling, Advanced Quantum Technologies, 2024.
2023年
[219] An Huang, Xiaolan Xie*, Xiaojun Yao, Huanxiang Liu, Xiaoqi Wang, and Shaoliang Peng*,HF-DDI: Predicting Drug–Drug Interaction Events Based on Multimodal Hybrid Fusion,Journal of Computational Biology.
[218] Liang Pan, Xia Xiao, Shengyun Liu, and Shaoliang Peng*,An Integration Framework of Secure Multiparty Computation and Deep Neural Network for Improving Drug–Drug Interaction Predictions,Journal of Computational Biology.
[217] Yutao Dou, Wei Li, Yucen Nan, Yidi Zhang, Shaoliang Peng*, Feature augmentation and semi-supervised conditional transfer learning for early detection of sepsis, Computers in Biology and Medicine, 2023.
[216] Liangrui Pan, Dazheng Liu, Zhichao Feng, Xiangxiang Zeng, 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, 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).
[215] Liangrui Pan, Wenjuan Liu, Zhichao Feng, Keqin Li, Liwen Xu, Shaoliang Peng*. CVFC: Attention-Based Cross-View Feature
Consistency for Weakly Supervised Semantic
Segmentation of Pathology Images. 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).
[214] Liangrui Pan, Wenjuan Liu,Xuan Liu, Guo Chen, Liwen Xu, Shaoliang Peng*, LDCSF: Local depth convolution-based Swim
framework for classifying multi-label
histopathology images, 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
[213] Liwen Xu, Boya Ji, Yijun Peng, Wending Pi, Xiangxiang Zeng, Peng Zhao, ShaoLiang Peng*, Yu-Lan Peng, ImmRegInformer: an interpretable Transformer-based method for prioritizing immune-regulatory cancer drivers, 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
[212] Yutao Dou, Zhengyu Liu, Xiongjun Zhao, Kun Xie, Guo Chen, Shaoliang Peng*, Xiangke Liao, An Attention-based Label Mapping and Multi-factor Domain Adaptation Approach for ACS Prediction , 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).
[211]Yutao Dou, Yangtao Zheng, Dazheng Liu, Keqin Li, Sheng Xiao Shaoliang Peng*g. ParaMET: A Parallel Framework for Efficient Medical Data Extraction on Tianhe-NG Supercomputer. 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
[210] 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. 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).
[209] Peng Xi, Wenjuan Tang, Kun Xie, Xuan Liu, Peng Zhao, Shaoliang Peng*, RobustHealthFL: Robust Strategy Against Malicious Clients in Non-iid Healthcare Federated Learning . 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).
[208] 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, Biomedical Signal Processing and Control, 2023
[207] 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. Nature Machine Intelligence, 2023.
[206] Boya Ji, Wending Pi, Wenjuan Liu, Yannan Liu, Yujun Cui, Xianglilan Zhang, Shaoliang Peng*, HyperVR: a hybrid deep ensemble learning approach for simultaneously predicting virulence factors and antibiotic resistance genes, NAR Genomics and Bioinformatics, 2023
[205] Jin Yin, Jia-Jun Qiu, Jing-Yan Liu, Yi-Yue Li, Qi-Cheng Lao, Xiao-Rong Zhong, Mengling Feng, Hao Du, Shao-Liang Peng, Yu-Lan Peng, Differential Diagnosis of DCIS and Fibroadenoma Based on Ultrasound Images: a Difference-Based Self-Supervised Approach, Interdisciplinary Sciences: Computational Life Sciences, 2023
[204] Teng Wang, Zhouyang Jia, Shanshan Li, Si Zheng, Yue Yu, Erci Xu, Shaoliang Peng*, Xiangke Liao, Understanding and detecting on-the-fly configuration bugs, Proceedings of the 45th International Conference on Software Engineering (ICSE), 2023
[203]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. Computers and Electronics in Agriculture, 2023
[202] 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 in Bioinformatics, 2023.
[201] 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 Generation Computer Systems, 2023.
2022年
[200] Hong Wang, Xiaoqi Wang, Wenjuan Liu, Shaoliang Peng*. deepDGA: Biomedical Heterogeneous Network-based Deep Learning Framework for Disease-Gene Association Predictions. 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).
[199] Weiming Xiang, Yingbo Cui, Yaning Yang, Ang Zhang, Boya Ji, Shaoliang Peng*. ECGNN: Enhancing Abnormal Recognition in 12-Lead ECG with Graph Neural Network. 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).
[198] Xiongjun Zhao, Zhengyu Liu, Shaoliang Peng*. ECGNN: Enhancing Abnormal Recognition in 12-Lead ECG with Graph Neural Network. 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).
[197] Liangrui Pan, Lian Wang, Mingting Liu, Zhujun Xu, Liwen Xu, Shaoliang Peng*. MGTUNet: An new UNet for colon nuclei instance segmentation and quantification. 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).
[196] Xiongjun Zhao, Xiang Wang, Fenglei Yu, Shaoliang Peng*. UniMed: Multimodal Multitask Learning for Medical Predictions. 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).
[195] Xiaoxiao Cheng, Chong Dai, Yuqi Wen, Xiaoqi Wang, Xiaochen Bo, Song He, Shaoliang Peng*. NeRD: a multichannel neural network to predict cellular response of drugs by integrating multidimensional data. BMC Medicine, 2022.
[194] 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. Nature Machine Intelligence, 2022.
[193] Xianglilan Zhang, Ruohan Wang, Xiangcheng Xie, Yunjia Hu, Jianping Wang, Qiang Sun, Xikang Feng, Wei Lin, Shanwei Tong, Wei Yan, Huiqi Wen, Mengyao Wang, Shixiang Zhai, Cheng Sun, Fangyi Wang, Qi Niu, Andrew M Kropinski, Yujun Cui, Xiaofang Jiang, Shaoliang Peng, Shuaicheng Li, Yigang Tong. Mining bacterial NGS data vastly expands the complete genomes of temperate phages. NAR Genomics and Bioinformatics, 2022.
[192] Peng Xi , Xinglong Zhang, Lian Wang, Wenjuan Liu, Shaoliang Peng*. A Review of Blockchain-Based Secure Sharing of Healthcare Data. Applied Sciences, 2022.
[191] Yahui Long, Yu Zhang, Min Wu, Shaoliang Peng, Chee Keong Kwoh, Jiawei Luo, Xiaoli Li. Heterogeneous graph attention networks for drug virus association prediction. Methods, 2022.
[190] Yingjie Cheng, Xiaoqi Wang, Xiaolan Xie, Wentao Li, Shaoliang Peng*. Channel pruning guided by global channel relation. Applied Intelligence, 2022.
[189] 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 in Bioinformatics, 2022.
[188] Bo-Ya Ji, Liang-Rui Pan, Ji-Ren Zhou, Zhu-Hong You, Shaoliang Peng*. SMMDA: Predicting miRNA-Disease Associations by Incorporating Multiple Similarity Profiles and a Novel Disease Representation. Biology, 2022.
[187] Liangrui Pan, Hetian Wang, Lian Wang, Boya Ji, Mingting Liu, Mitchai Chongcheawchamnan, Jin Yuan, Shaoliang Peng*.Noise-reducing attention cross fusion learning transformer for histological image classification of osteosarcoma. Biomedical Signal Processing and Control, 2022.
[186] Bin Xin, Yaning Yang, Xiaolan Xie, Jiandong Shang, Zhengyu Liu, Shaoliang Peng*. Detecting and Classifying Nuclei Using Multi-scale Fully Convolutional Network. Journal of Computational Biology, 2022.
[185] 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. Asia Pacific Bioinformatics Conference, 2022. (推荐到期刊 Computational Biology and Chemistry (Elsevier))
[184] Xia-an Bi, Hao Wu, Xi Hu, Yu Fu, Shaoliang Peng*. Clustering-Evolutionary Random Support Vector Machine Ensemble for fMRI-Based Asperger Syndrome Diagnosis.The Computer Journal, 2022.
[183] Fan Yang, Qi Zhang, Xiaokang Ji, Yanchun Zhang, Wentao Li, Shaoliang Peng, Fuzhong Xue, Shaoliang Peng*. Machine learning applications in drug repurposing. Interdisciplinary Sciences: Computational Life Sciences, 2022.
[182] 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 in Bioinformatics, 2022.
2021年
[181] Fan Yang, Qi Zhang, Xiaokang Ji, Yanchun Zhang, Wentao Li, Shaoliang Peng, Fuzhong Xue. Machine learning applications in drug repurposing. Interdisciplinary Sciences: Computational Life Sciences, 2021/1/23.
[180] Yingbo Cui, Zihang Wang, Johannes Koster, Xiangke Liao, Shaoliang Peng, Tao Tang, Chun Huang, Canqun Yang. VISPR-online: a web-based interactive tool to visualize CRISPR screening experiments. BMC Bioinformatics, 2021, 22(344).
[179] Zhaoen Yang, Xiaoyang Ge, Weinan Li, Yuying Jin, Lisen Liu, Wei Hu, Fuyan Liu, Yanli Chen, Shaoliang Peng*, Fuguang Li. Cotton D genome assemblies built with long-read data unveil mechanisms of centromere evolution and stress tolerance divergence. BMC biology, 2021, 19(115).
[178] Kejie Mou, Farwa Mukhtar, Muhammad Tahir Khan, Doaa B Darwish, Shaoliang Peng, Shabbir Muhammad, Abdullah G Al-Sehemi, Dong-Qing Wei. Emerging Mutations in Nsp1 of SARS-CoV-2 and Their Effect on the Structural Stability. Pathogens 2021, 10(10).
[177] Yahui Long, Yu Zhang, Min Wu, Shaoliang Peng, Chee Keong Kwoh, Jiawei Luo, Xiaoli Li. Heterogeneous graph attention networks for drug virus association prediction. Methods, 2021, online.
[176] Abbas Khan, Wang Heng, Yanjing Wang, Jingfei Qiu, Xiaoyong Wei, Shaoliang Peng, Shoaib Saleem, Mazhar Khan, Syed Shujait Ali, Dong‐Qing Wei. In silico and in vitro evaluation of kaempferol as a potential inhibitor of the SARS‐CoV‐2 main protease (3CLpro). Phytotherapy Research, 2021, doi: 10.1002/ptr.6998.
[175] An Zeng, Huabin Rong, Dan Pan,Longfei Jia,Yiqun Zhang, Fengyi Zhao & Shaoliang Peng*. Discovery of Genetic Biomarkers for Alzheimer’s Disease Using Adaptive Convolutional Neural Networks Ensemble and Genome-Wide Association Studies. Interdisciplinary Sciences: Computational Life Sciences, 2021,13 (4), 787-800.
[174] Jiechen Li, Xiangxiang Zeng, Yong Dou, Fei Xia, and Shaoliang Peng*. LADstackING: Stacking Ensemble Learning-based Computational Model for Predicting Potential LncRNA-disease Associations. In 2021 IEEE International Conference on Bioinformatics and Biomedicine(BIBM) .(CCF B类会议).；
[173] Yaning Yang, Xiaoqi Wang, Ying Xu, Chao Yang, Bin Jiang and Shaoliang Peng*. ParaPindel: a scalable coordinated parallel detection framework for human genome-wide structural variation. In 2021 IEEE International Conference on Bioinformatics and Biomedicine(BIBM) .(CCF B类会议).；
[172] Weiming Xiang, Dong Chen, Yingbo Cui, and Shaoliang Peng*. H-VAE: A Hybrid Variational AutoEncoder with Data Augmentation in Predicting CRISPR/Cas9 Off-target. In 2021 IEEE International Conference on Bioinformatics and Biomedicine(BIBM) .(CCF B类会议).；
[171] Liangrui Pan, Peng Zhang, Boya Ji, Fei Xia, Chongcheawchamnan Mitchai, and Shaoliang Peng*. FEDI: Few-shot learning based on Earth Mover's Distance algorithm combined with deep residual network to identify diabetic retinopathy. In 2021 IEEE International Conference on Bioinformatics and Biomedicine(BIBM) .(CCF B类会议).；
[170] Xiongjun Zhao, Yingjie Cheng, Weiming Xiang, Xiang Wang, Lin Han, Jiandong Shang, and Shaoliang Peng*. A Knowledge-aware Machine Reading Comprehension Framework for Dialogue Symptom Diagnosis. In 2021 IEEE International Conference on Bioinformatics and Biomedicine(BIBM) .(CCF B类会议).；
[169] Boya Ji, Jiawei Luo, Liangrui Pan, Xiaolan Xie, Shaoliang Peng*. DFL-PiDA: Prediction of Piwi-interacting RNA-Disease Associations based on Deep Feature Learning. In 2021 IEEE International Conference on Bioinformatics and Biomedicine(BIBM) .(CCF B类会议).；
[168] Yonghui Cui, Zhijian Xu, and Shaoliang Peng*. IDOS: Improved D3DOCK On Spark. 17th International Symposium on Bioinformatics Research and Applications (ISBRA), 2021
[167] Hao Liu, Xia Xiao, Xinglong Zhang, Kenli Li, and Shaoliang Peng*. MIFS: A Peer-to-Peer Medical Images Storage and Sharing System Based on Consortium Blockchain. 17th International Symposium on Bioinformatics Research and Applications (ISBRA), 2021.
[166] Bin Xin, Yaning Yang, Dongqing Wei and Shaoliang Peng*. CFCN: A Multi-scale Fully Convolutional Network with Dilated Convolution for Nuclei Classification and Localization. 17th International Symposium on Bioinformatics Research and Applications (ISBRA), 2021.
[165] Liangrui Pan, Peng Zhang, Chalongrat Daengngam, Shaoliang Peng*, Mitchai Chongcheawchamnan. A review of artificial intelligence methods combined with Raman spectroscopy to identify the composition of substances. J Raman Spectrosc, 2021.原文链接.
[164] Xiaoqi Wang, Yaning Yang, Kenli Li, Wentao Li, Fei Li, and Shaoliang Peng*. BioERP: biomedical heterogeneous network based self-supervised representation learning approach for entity relationship predictions. Bioinformatics, 2021.
[163] 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. Bioinformatics, DOI: https://doi.org/10.1093/bioinformatics/btab473, 2021.原文链接.
[162] Qin Liao *, Gang Xiao, Shaoliang Peng*. Performance improvement of atmospheric continuous-variable quantum key distribution with untrusted source. Entropy June, 2021.
[161] Zhaoen Yang,Xiaoyang Ge,Weinan Li, Shaoliang Peng*, Fuguang Li. Cotton D genome assemblies built with long-read data unveil mechanisms of centromere evolution and stress tolerance divergence. BMC Biology.DOI: https://doi.org/10.1186/s12915-021-01041-0. 原文链接.
[160] Deshan Zhou, Shaoliang Peng*, Dong-Qing Wei, Wu Zhong, Yutao Dou and Xiaolan Xie*. LUNAR: Drug Screening for Novel Coronavirus Based on Representation Learning Graph Convolutional Network. IEEE/ACM Transactions on Computational Biology and Bioinformatics. DOI: 10.1109/TCBB.2021.3085972 (CCF B类).
[159] Yanyi Chu, ..., Shaoliang Peng,..., Dong-Qing Wei. MDA-GCNFTG: identifying miRNA-disease associations based on graph convolutional networks via graph sampling through the feature and topology graph. Briefings in Bioinformatics, 2021.DOI:10.1093/bib/bbab165 (SCI 1区, IF=11.62) 原文链接.
[158] 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 in Bioinformatics, 2021.DOI:10.1093/bib/bbab226 (SCI 1区, IF=11.62, 通讯作者).
[157]Yuhan Yang, Chengnian Long, Jing Wu, & Shaoliang Peng., Bo Li D2D-Enabled Mobile-Edge Computation Offloading for Multi-user IoT Network. IEEE Internet of Things Journal, 2021.原文链接;
[156]Jiajun Qiu, & Shaoliang Peng., Jin Yin, Junren Wang, Jingwen Jiang, Zhenlin Li, Huan Song, Wei Zhang A Radiomics Signature to Quantitatively Analyze COVID-19-Infected Pulmonary Lesions. Interdisciplinary Sciences: Computational Life Sciences, 2021 13(1): 61-72.原文链接;
[155]Yingbo Cui, Xiaolong Cheng, Qing Chen, ... Shaoliang Peng. CRISP-view: a database of functional genetic screens spanning multiple phenotypes, Nucleic Acids Research, 2021, 49(D1): D848-D854.原文链接;
[154]Aman Chandra Kaushik, Aamir Mehmood, & Shaoliang Peng., Yu-Juan Zhang, Xiaofeng Dai, Dong-Qing Wei NA-CaMP: a tool for anti-cancer and antimicrobial peptide generation. Journal of Biomolecular Structure and Dynamics, 2021 39(1): 285-293.原文链接;
2020年
[153]Xiaoqi Wang, Yaning Yang, Xiangke Liao, Kenli Li, Fei Li, Shaoliang Peng. selfRL: Two-Level Self-Supervised Transformer Representation Learning for Link Prediction of Heterogeneous Biomedical Networks. bioRxiv, 2020.原文链接;
[152]Xia-an Bi, Hao Wu, Xi Hu, Yu Fu, Shaoliang Peng. Clustering-Evolutionary Random Support Vector Machine Ensemble for fMRI-Based Asperger Syndrome Diagnosis, The Computer Journal, 2020.原文链接;
[151]Cui, Y., Liao, X., Peng, S. et al. OffScan: a universal and fast CRISPR off-target sites detection tool. BMC Genomics 21, 872 (2020).原文链接;
[150]Cui, Yingbo & Cheng, Xiaolong & Chen, Qing & ... & Peng, Shaoliang. CRISP-view: a database of functional genetic screens spanning multiple phenotypes. Nucleic acids research, 2020.原文链接;
[149]Jiajun Qiu, Shaoliang Peng, Jin Yin, Junren Wang, Jingwen Jiang, Zhenlin Li, Wei Zhang. A radiomics signature to quantitatively analyze COVID-19-infected pulmonary lesions. Interdisciplinary Sciences-Computational Life Sciences.
[148]Dong Chen, Wenjie Shu, and Shaoliang Peng*. Predicting CRISPR-Cas9 Off-target with Self-supervised Neural Networks. In 2020 IEEE International Conference on Bioinformatics and Biomedicine(BIBM) .(CCF B类会议，通讯作者).；
[147]Yahui Long, Yu Zhang, Min Wu, Shaoliang Peng, Chee Keong Kwoh, Jiawei Luo, and Xiaoli Li. Predicting Drugs for COVID-19/SARS-CoV-2 via Heterogeneous Graph Attention Networks. In 2020 IEEE International Conference on Bioinformatics and Biomedicine(BIBM) .(CCF B类会议).；
[146]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. IEEE HealthCom 2020.;
[145]Shaoliang Peng*, Liang Bai, Li Xiong, Qiang Qu, Xiaolan Xie and Shulin Wang. GeoAI-based Epidemic Control with Geo-Social Data Sharing on Blockchain. IEEE HealthCom 2020.;
[144]Jian Chen, Shaoliang Peng*, Hao Huang, Minxia Cheng, Yaning Yang, Fei Li. Protein Structure Prediction Based on Multi-Level Information Fusion. IEEE HealthCom 2020.;
[143]Shaoliang Peng*, Xiaoqi Wang, Sheng Xiao, Jiawei Luo, and Zhuo Tang. EfMulti-view Weighted Feature Fusion Using CNN for Pneumonia Detection on Chest X-Rays. IEEE HealthCom 2020.;
[142]Jiameng Liu,Shaoliang Peng*, Jiawei Luo, Zhuo Tang and Hao Liu. Segmented Encryption: A Quality and Safety Supervisory Model for Herbal Medicine Based on Blockchain Technology. IEEE HealthCom 2020.;
[141]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. IEEE HealthCom 2020.;
[140]Shaoliang Peng*, Hao Huang, Minxia Cheng, Yaning Yang, Fei Li. Efficiently recognition of vaginal micro-ecological environment based on Convolutional Neural Network. IEEE HealthCom 2020.;
[139]Yaning Yang, Shaoliang Peng*.A Dynamic Protection Mechanism for GPU Memory Overflow. NPC 2020.;
[138]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).原文链接;
[137]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. Biology Bioinform. 17(3): 804-816 (2020).原文链接;
[136]Ying Xu, Cuijuan Yang, Shaoliang Peng. A Hybrid Two-Stage Financial Stock Forecasting Algorithm based on Clustering and Ensemble Learning. Applied Intelligence, 2020: 1-16.原文链接;
[135] Shaoliang Peng, Xing Hu, Jinglin Zhang, Xiaolan Xie, Chengnian Long, Zhihui Tian, Hongbo Jiang. An efficient double-layer blockchain method for vaccine production supervision. IEEE Transactions on NanoBioscience, 2020, 19(3): 579-587.原文链接;
[134] Dong Chen, Shaoliang Peng*, Kenli Li, Ying Xu, Jinglin Zhang and Xiaolan Xie. Re-ranking Answer Selection with Similarity Aggregation. The 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), Xian, July 25-30, 2020: 1677-1680. (CCF A类).原文链接;
[133] Xiaan Bi, Yiming Xie, Hao Wu, Shaoliang Peng*. Identification of differential brain regions in MCI progression via clustering-evolutionary weighted SVM ensemble algorithm. Frontiers of Computer Science.；
[132] Di Yang, Chengnian Long, Han Xu, Shaoliang Peng*. A Review on Scalability of Blockchain. ICBCT 2020: 1-6.原文链接；
[131] Jiameng Liu, Shaoliang Peng*, Chengnian Long, Lijun Wei, Yunhao Liu, Zhihui Tian. Blockchain for Data Science. ICBCT 2020: 24-28.原文链接；
[130] Wenzhang Zhuge, Chenping Hou, Shaoliang Peng*, Yu-Juan Zhang, Xiaofeng Dai, Dong-Qing Wei. Joint consensus and diversity for multi-view semi-supervised classification. Machine Learning: 109(3): 445-465 (2020)原文链接；
2019年
[129] Aman Chandra Kaushik, Aamir Mehmood, Shaoliang Peng*, Yu-Juan Zhang, Xiaofeng Dai, Dong-Qing Wei. A-CaMP: A Tool for Anti-Cancer and Antimicrobial Peptide Generation. Journal of Biomolecular Structure and Dynamics, 2019 (just-accepted): 1-14.原文链接；
[128] Weiwei Lin, Zilong Zhang, Shaoliang Peng*. Academic research trend analysis based on big data technology. IJCSE 20(1): 31-39 (2019).原文链接；
[127] 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.原文链接；
[126] Zhe Sun, Shaoliang Peng*, Yaning Yang, Xiaoqi Wang, and Fei Li. A General Fine-tuned Transfer Learning Model for Predicting Clinical Task Acrossing Diverse EHRs Datasets. In 2019 IEEE International Conference on Bioinformatics and Biomedicine(BIBM) .(CCF B类会议，通讯作者).；
[125] Xing Hu, Shaoliang Peng*, Chengnian Long, and Lijun Wei. vGuard: A Spatio-temporal Efficiency Supervision Method For Vaccine Production Based On Double-level Blockchain. In 2019 IEEE International Conference on Bioinformatics and Biomedicine(BIBM) .(CCF B类会议，通讯作者).；
[124] Qi Niu, Shaoliang Peng*, Xiang-li-lan Zhang, Shuai-cheng Li, Xiang-Cheng Xie, and Yi-Gang Tong. LysoPhD: predicting functional prophages in bacterial genomes from high-throughput sequencing. In 2019 IEEE International Conference on Bioinformatics and Biomedicine(BIBM) .(CCF B类会议，通讯作者).；
[123] Shaoliang Peng*, Yaning Yang, Wei Liu, Fei Li, and Xiangke Liao. Discriminant Projection Shared Dictionary Learning for Classification of Tumors Using Gene Expression Data. IEEE/ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS. 2019. (第一作者、并列通讯作者) 原文链接；
[122] J Li, Y Li, W Li, H Luo, Y Xi, S Dong, M Gao, ... S Peng*, F Wu and W Yu. Guide Positioning Sequencingidentifies aberrant DNA methylation patterns that alter cell identity andtumor-immune surveillance networks. Genome Research. 2019, 29:270-280. (SCI一区, top期刊，IF=10.10，并列通讯作者) 原文链接；
[121] Zhang, Z.,Zhao, Y., Liao, X., Shi, W., Li, K., Zou, Q*., Peng, S.* Deep Learning in omics: a survey and guideline. Briefings in Functional Genomics, 2019,18(1):41–57.（ESI高被引论文，并列通讯作者）原文链接；
[120] Shaoliang Peng* , Yingbo Cui , Shunyun Yang , Wenhe Su , Tenglilang Zhang , et al. A CPU/MIC Collaborated Parallel Framework for GROMACS on Tianhe-2 Supercomputer. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 2019,16(2):425 - 433.（JCR一区，CCF B类，第一作者、通讯作者）原文链接；
[119] 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. 2019:1-6.（JCR一区，通讯作者）原文链接；
[118] Benyun Shi, Guangliang Liu, Hongjun Qiu, Yu-Wang Chen, Shaoliang Peng*. Voluntary Vaccination through Perceiving Epidemic Severity in Social Networks. Complexity 2019: 3901218:1-3901218:13 (2019).原文链接
[117] T Huang, W Lin, Y Li, LG He, SL Peng. A Latency-Aware Multiple Data Replicas Placement Strategy for Fog Computing. Journal of Signal Processing Systems: 1-14 (22 February 2019).原文链接
2018年
[116] Bu, D., Peng, S.*, Luo, H., Li, X., Li, H., Sun, L., ... & Yi, Z. From big data to knowledge in precision medicine. Science. 2018:359(6375):P35-38. （并列第一作者） 原文链接；
[115] Guo, R., Zhao, Y., Zou Q., Fang X., & Peng, S.* Bioinformatics applications on Apache Spark. GigaScience. 2018,7(8):1-10.（SCI一区，top期刊，通讯作者）原文链接；
[114] Cui, Y., Peng, S.*,Lu, Y., Zhu, X., Wang, B., Wu, C., & Liao, X. mSNP: A Massively Parallel Algorithm for Large-Scale SNP Detection. IEEE Transactions on Parallel and Distributed Systems. 2018,29(11):2557-2567. (JCR一区，CCF A类，通讯作者) 原文链接；
[113] Peng, S., Lu, Y., Liao, X., Lu, K., Yang, C., ... & Wei, D. High-scalable Collaborated Parallel Framework for Large-scale Molecular Dynamic Simulation on Tianhe-2 Supercomputer. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 2018,13:1-1（JCR一区，CCF B类，第一作者、通讯作者）原文链接；
[112] Dong, D., Su, W., Shi, W.,Zou, Q., & Peng, S.* (2018). VCSRA: A fast and accurate multiple sequence alignment algorithm with a high degree of parallelism. Journal of Genetics and Genomics. 2018,45(7): 407–410.（JCR一区，通讯作者）原文链接；
[111] S Peng* , Cheng M , Huang K , et al. .(2018). Efficient computation of motif discovery on Intel Many Integrated Core (MIC) Architecture[J]. BMC Bioinformatics, 2018, 19(9):282.（第一作者、通讯作者）原文链接
[110] D Dong, Z Xu, W Zhong, S Peng* .(2018). Parallelization of Molecular Docking: A Review, Current Topics in Medicinal Chemistry, 2018, 18(12): 1015–1028.（通讯作者）原文链接
[109] Z Zhang, Y Lu, S Peng* .(2018). A dictionary learning algorithm for gene expression profile classification based on feature selection, 2018 International Conference on Intelligent Robotic and Control Engineering.（通讯作者）原文链接
[108] X Xie, Q Sun, X Liao, Y Tong, S Peng* .(2018). Complete genomes of two novel active prophages discovered by bioinformatics methods from high-throughput sequencing data, ITA 2018.（通讯作者）原文链接
[107] R Guo, X Xie, B Shi, S Li, K Li, X Liao, S Peng* .(2018). Review of Bioinformatics Application on Intel MIC Architecture, Interdisciplinary Sciences: Computational Life Sciences, 2018.（通讯作者）
[106] R Guo, Y Wang, W Shu, S Peng* .(2018). Accurate identification of RNA editing sites from primitive sequence with recurrent neural network, Current Gene Therapy, 2018.（通讯作者）
[105] Liao, X., Zhu, H., Li, K., Shi, B., Peng, S.. (2018). COPCOP: A Novel Algorithm and Parallel Optimization Framework for Co-Evolutionary Domain Detection. IEEE/ACM Transactions on Computational Biology and Bioinformatics.原文链接
[104] Yang, S., Guo, R., Liu, R.,Liao, X., Zou, Q., Shi, B., & Peng, S.* (2018). cmFSM: ascalable CPU-MIC coordinated drug-finding tool by frequent subgraphmining. BMC bioinformatics, 19(4), 98. （通讯作者）原文链接
[103] Cui, Y., Xu, J., Cheng, M.,Liao, X., & Peng, S.* (2018). Review of CRISPR/Cas9 sgRNA DesignTools. Interdisciplinary Sciences: Computational Life Sciences, 1-11. （通讯作者）原文链接
[102] Lu,X., Li, X., Liu, P., Qian, X., Miao, Q., & Peng, S.* (2018). The Integrative Method Based on the Module-Network for Identifying Driver Genes in Cancer Subtypes. Molecules, 23(2), 183. （并列通讯作者）原文链接
[101] Bai,L. Y., Dai, H., Xu, Q., Junaid, M., Peng, S. L. , Zhu, X., ... &Wei, D. Q. (2018). Prediction of Effective Drug Combinations by an Improved Naive Bayesian Algorithm. International journal of molecular sciences, 19(2), 467.原文链接
2017年
[100] Peng, S., Yang, S.,Bo, X., & Li, F. paraGSEA: a scalable approach for large-scale gene expression profiling. Nucleic acids research. 2017,45(17),e155-e155（SCI一区，top期刊，IF=11.15，第一作者）原文链接；
[99] Liao, X., Zhu,H., Li, K., Shi, B., & Peng, S.* A novel algorithm for detecting co-evolutionary domains in protein and nucleotide sequences. In 2017 IEEE International Conference on Bioinformatics and Biomedicine(BIBM) (pp. 56-61). (CCF B类会议，第一作者、并列通讯作者) 原文链接；
[98] Xiao, M., Li, J., Li, W.,Wang, Y., Wu, F., Xi, Y., ... & Peng, S. .MicroRNAs activategene transcription epigenetically as an enhancer trigger. RNAbiology. 2017,14(10),1326-1334（JCR一区，通讯作者）.原文链接；
[97] Peng, S., Yang, S.,Su, W., Zhang, T., Liu, W., & Zhao, X. A CPU/MIC Collaborated Parallel Framework for GROMACS on Tianhe-2 Supercomputer. In the 27th International Conference on Genome Informatics (GIW).原文链接
[96] Peng, S., Yang, S., Su, W., Zhang, Z., Dong, D., ... & Zhu, W. (2017, May). mD3DOCKxb: An Ultra-Scalable CPU-MIC Coordinated Virtual Screening Framework. In Cluster, Cloud and Grid Computing (CCGRID), 2017 17th IEEE/ACM International Symposium on (pp. 671-676). IEEE.原文链接
[95] Peng, S., Yang, S.,Gao, M., Liao, X., Liu, J., Yang, C., ... & Yu, W. (2017). P-Hint-Hunt: adeep parallelized whole genome DNA methylation detection tool. BMC genomics, 18(2), 134.原文链接
[94] Zhang, H. Y., Xu, Q., Xiong,Y., Peng, S. L., Kumari, K. M., & Wei, D. Q. (2017). Membrane defectand water leakage caused by passive calcium permeation. Journal of Molecular Liquids.原文链接
[93] Su, W., Liao, X., Lu, Y.,Zou, Q., & Peng, S.* (2017). Multiple Sequence Alignment Based on a Suffix Tree and Center-Star Strategy: A Linear Method for Multiple Nucleotide Sequence Alignment on Spark Parallel Framework. Journal of Computational Biology, 24(12), 1230-1242.（并列通讯作者）原文链接
[92] Shi, B., Wang, W., Qiu, H.,Chen, Y. W., & Peng, S. (2017). Exploring Voluntary Vaccinating Behaviors using Evolutionary N-person Threshold Games. Scientificreports, 7(1), 16355.原文链接
2016年
[91] Peng, S. High performance computational biology and drug design on TianHe Supercomputers. In 2016 IEEE International Conference on Bioinformatics and Biomedicine(BIBM) (pp. 7-7).(CCFB类会议，第一作者、通讯作者).原文链接；
[90] Peng, S., Lu, Y., Liao, X., Lu, K., Yang, C., ... & Wei, D. mAMBER:A CPU/MIC collaborated parallel framework for AMBER on Tianhe-2 supercomputer. In 2016 IEEE International Conference on Bioinformatics and Biomedicine(BIBM) (pp. 651-657). (CCF B类会议，第一作者）.原文链接
[89] Zhang, F., Liao, X., Peng,S.*, Cui, Y., Wang, B., Zhu, X., & Liu, J. (2016). A Hybrid Parallel Strategy Based on String Graph Theory to Improve De Novo DNA Assembly on theTianHe-2 Supercomputer. Interdisciplinary Sciences: Computational Life Sciences, 8(2), 169-176.（并列通讯作者）原文链接
[88] Lan, H., Chan, Y., Xu, K.,Schmidt, B., Peng, S., & Liu, W. (2016). Parallel algorithms forlarge-scale biological sequence alignment on Xeon-Phi based clusters. BMC bioinformatics, 17(9), 267.原文链接
[87] Cui, Y., Liao, X., Zhu, X.,Wang, B., & Peng, S.* (2016). B-MIC: an ultrafast three-level parallel sequence aligner using MIC. Interdisciplinary Sciences:Computational Life Sciences, 8(1), 28-34.（并列通讯作者）原文链接
[86] Li, X., Wu, W. K., Xing, R.,Wong, S. H., Liu, Y., Fang, X., ... & Peng, S. (2016). Distinct subtypes of gastric cancer defined by molecular characterization include novel mutational signatures with prognostic capability. Cancer research.原文链接
[85] Cheng, C., Zhou, Y., Li, H.,Xiong, T., Li, S., Bi, Y., ... & Peng, S. (2016). Whole-genome sequencing reveals diverse models of structural variations in esophageal squamous cell carcinoma. The American Journal of Human Genetics, 98(2), 256-274.原文链接
2015年
[84] Peng, S., Liao, X.,Yang, C., Lu, Y., Liu, J., Cui, Y., ... & Wang, B. (2015, May). The Challenge of Scaling Genome Big Data Analysis Software on TH-2 Supercomputer. In Cluster, Cloud and Grid Computing (CCGrid), 2015 15th IEEE/ACM International Symposium on (pp. 823-828). IEEE.原文链接
[83] Wang, H., Peng, S.*,Zhu, X., Wu, C., Liu, X., Chen, Q., ... & Yang, H. (2015, May). A method toaccelerate GROMACS in offload mode on Tianhe-2 supercomputer. In Cluster, Cloud and Grid Computing (CCGrid), 2015 15th IEEE/ACM International Symposiumon (pp. 781-784). IEEE.（通讯作者）原文链接
[82] Liu, X., Peng, S.*,Yang, C., Wu, C., Wang, H., Cheng, Q., ... & Wang, J. (2015, May). mAMBER:Accelerating explicit solvent molecular dynamic with Intel Xeon Phimany-integrated core coprocessors. In Cluster, Cloud and Grid Computing(CCGrid), 2015 15th IEEE/ACM International Symposium on(pp. 729-732). IEEE.（通讯作者）原文链接
[81] Cheng, Q., Peng, S.*,Lu, Y., Zhu, W., Xu, Z., & (2015, May). mD3DOCKxb: a deepparallel optimized software for molecular docking with Intel Xeon Phicoprocessors. In Cluster, Cloud and Grid Computing (CCGrid), 2015 15th IEEE/ACM International Symposium on(pp. 725-728). IEEE.（通讯作者）原文链接
[80] Zhu, X., Peng, S.*,Liu, S., Cui, Y., Gu, X., Gao, M., ... & Fang, X. (2015). A Massively Parallel Computational Method of Reading Index Files for SOAPsnv. Interdisciplinary Sciences: Computational LifeSciences, 7(4), 397-404.（通讯作者）原文链接
[79] Wang, H., Peng, S.*,Lu, Y., Wu, C., Wen, J., Liu, J., & Zhu, X. (2015, July). BWTCP: A parallel method for constructing BWT in large collection of genomic reads. In International Conference on High Performance Computing (pp.171-178). Springer, Cham.（通讯作者）原文链接
[78] Liao, X., Peng, S.,Lu, Y., Cui, Y., Wu, C., Wang, H., & Wen, J. (2015). Neo-hetergeneous Programmingand Parallelized Optimization of a Human Genome Re-sequencing Analysis Software Pipeline on TH-2 Supercomputer. Supercomputing Frontiers and Innovations, 2(1), 73-83.原文链接
[77] Cui, Y., Liao, X., Peng,S.*, Lu, Y., Yang, C., Wang, B., & Wu, C. (2015, July). Large-scale neo-heterogeneous programming and optimization of SNP detection on Tianhe-2. In International Conference on High Performance Computing(pp. 74-86). Springer, Cham.（通讯作者）原文链接
[76] Zhang, J., Li, S., Liao, X.,Peng, S., Liu, X., & Jia, Z. (2015). Hematch: a redundancy layout placement scheme for erasure-coded storages in practical heterogeneous failure patterns. Science China Information Sciences, 58(6), 1-11.原文链接
[75] Wu, C., Schwartz, J. M.,Brabant, G., Peng, S. L., & Nenadic, G. (2015). Constructing amolecular interaction network for thyroid cancer via large-scale text mining of gene and pathway events. BMC systems biology, 9(6), S5.原文链接
[74] Luo, R., Cheung, J., Wu, E.,Wang, H., Chan, S. H., Law, W. C., ... & Peng, S. (2015). MICA: A fast short-read aligner that takes full advantage of Many Integrated Core Architecture (MIC). BMC bioinformatics, 16(7), S10.原文链接
[73] Fang, X., Nevo, E., Han, L.,Levanon, E. Y., Zhao, J., Avivi, A., ... & Peng, S. (2015). Corrigendum: Genome-wide adaptive complexes to underground stresses in blindmole rats Spalax. Nature communications, 6, 8051.原文链接
[72] Murabito, E., Colombo, R.,Wu, C., Verma, M., Rehman, S., Snoep, J., ... & Peng, S. (2015). Supra Biology 2014: Promoting UK-China collaboration on Systems Biology and High Performance Computing.原文链接
2014年
[71] Liu, X., Li, M., Li, S., Peng,S*., Liao, X., & Lu, X. IMGPU: GPU-accelerated influence maximization in large-scale social networks. IEEE Transactions on Paralleland Distributed Systems. 2014,25(1):136-145.（JCR一区，CCF A类，并列通讯作者）原文链接；
[70] Liu, X., Li, S., Liao, X., Peng,S., Wang, L., & Kong, Z. (2014). Know by a handful the whole sack:efficient sampling for top-k influential user identification in largegraphs. World Wide Web, 17(4), 627-647.原文链接
[69] Cui, Y., Liao, X., Zhu, X.,Wang, B., & Peng, S. (2014). mBWA: A massively parallel sequencereads aligner. In 8th International Conference on Practical Applicationsof Computational Biology & Bioinformatics (PACBB 2014) (pp. 113-120).Springer, Cham.原文链接
[68] Fang, X., Nevo, E., Han, L., Levanon, E. Y., Zhao, J., Avivi, A., ... & Peng, S. (2015).Corrigendum: Genome-wide adaptive complexes to underground stresses in blindmole rats Spalax. Nature communications, 6, 8051.原文链接
2013年
[67] Li, S., Peng, S.*, Chen,W., & Lu, X. (2013). INCOME: Practical land monitoring in precision agriculture with sensor networks. Computer Communications, 36(4),459-467.（并列通讯作者）原文链接
[66] Huang, H., Liao, X., Li, S.,Peng, S.*, Liu, X., & Lin, B. (2013, August). The architecture and traffic management of wireless collaborated hybrid data center network.In ACM SIGCOMM Computer Communication Review (Vol. 43, No. 4, pp.511-512). ACM.（并列通讯作者）原文链接
[65] Liang, C. P., Fan, J. L.,Gong, H. R., Liao, X., Zhu, X., & Peng, S. (2013). Interface structure and work function of W-Cu interfaces. Applied PhysicsLetters, 103(21), 211604.原文链接
[64] LU, X., DONG, D., LIAO, X.,& PENG, S. (2013). P-Zone: Connectivity-based Packet Path Tracing in Wireless Sensor Networks. Chinese Journal of Electronics, 22(3),477-482.
[63] Luo, R., Wong, T., Zhu, J.,Liu, C. M., Zhu, X., Wu, E., ... & Peng, S. (2013). SOAP3-dp: fast, accurate and sensitive GPU-based short read aligner. PloS one, 8(5), e65632.原文链接
[62] Jia, W., Qiu, K., He, M.,Song, P., Zhou, Q., Zhou, F., ... & Peng, S. (2013). SOAPfuse: an algorithm for identifying fusion transcripts from paired-end RNA-Seqdata. Genome biology, 14(2), R12.原文链接
2012年
[61] Peng, S., Xing, G.,Li, S., Jia, W., & Peng, Y. Fast release/capture sampling inlarge-scale sensor networks. IEEE Transactions on Mobile Computing. 2012,11(8),1274-1286 (JCR一区，CCF A类，第一作者、通讯作者) 原文链接；
[60] Luo, R., Liu, B., Xie, Y.,Li, Z., Huang, W., Yuan, J., ... & Peng, S. SOAPdenovo2: an empirically improved memory-efficient short-read de novo assembler. Gigascience.2012, 1(1), 18.（ESI高被引论文，引用次数超过1771，SCI一区，top期刊）原文链接；
[59] Peng, S., Li, S.,Liao, X., Peng, Y., & Xiao, N. (2012). A scalable code dissemination protocol in heterogeneous wireless sensor networks. Science ChinaInformation Sciences, 55(6), 1323-1336.原文链接
[58] Liu, B., Yao, Y., Jiang, Z.,Yan, L., Qu, Q., & Peng, S. (2012, July). HLA-based parallel simulation: A case study. In Principles of Advanced and Distributed Simulation (PADS), 2012 ACM/IEEE/SCS 26th Workshop on (pp. 65-67). IEEE.原文链接
2011年
[57] Hou, B., Yao, Y., & Peng,S.* (2011, June). Empirical study on entity interaction graph oflarge-scale parallel simulations. In Proceedings of the 2011 IEEE Workshopon Principles of Advanced and Distributed Simulation (pp. 1-6). IEEE Computer Society.（并列通讯作者）
[56] Chen, L. L., Lu, Y. S., Yao,Y. P., & Peng, S. L.* (2011, June). A well-balanced time warp systemon multi-core environments. In Principles of Advanced and Distributed Simulation (PADS), 2011 IEEE Workshop on (pp. 1-9). IEEE.（并列通讯作者）原文链接
2010年
[55] Peng, S., Xing, G.,Li, S., Jia, W., & Peng, Y. (2010, June). Fish a lake: Fast release/capture sampling in large-scale sensor networks. In Quality of Service (IWQoS), 2010 18th International Workshop on (pp. 1-8). IEEE.原文链接
[54] Liu, Z., Song, J., & Peng,S.* (2010, June). MPIActor: A thread-based MPI program accelerator. In Quality of Service (IWQoS), 2010 18th International Workshopon (pp. 1-2). IEEE.（并列通讯作者）原文链接
[53] Li, S., Zheng, S., Liao, X.,& Peng, S.* (2010, June). Exploring the practicability of mobile sensors in complex environment surveillance. In Quality of Service (IWQoS), 2010 18th International Workshop on (pp. 1-2). IEEE.（并列通讯作者）原文链接
2009年
[52] Peng, S. L., Li, S.S., Liao, X. K., Peng, Y. X., & Xiao, N. (2009). Estimation of a population size in large-scale wireless sensor networks. Journal of Computer science and technology, 24(5), 987-997.原文链接
[51] Peng, S., Xing, G.,Li, S., Jia, W., & Peng, Y. (2009). Fast summation via sampling in large-scale sensor networks. ACM SIGMOBILE Mobile Computing and Communications Review, 13(1), 40-43.
[50] Liu, G., Yao, Y., & Peng,S.* (2009, October). EDEVS: a scalable DEVS formalism for event-scheduling based parallel and distributed simulations. In Proceedings of the 2009 13th IEEE/ACM International Symposium on Distributed Simulation and Real Time Applications (pp. 239-242). IEEE Computer Society.（并列通讯作者）原文链接
[49] Wang, B., Yao, Y., Zhao, Y.,Hou, B., & Peng, S.* (2009, October). Experimental analysis of optimistic synchronization algorithms for parallel simulation ofreaction-diffusion systems. In 2009 International Workshop on High Performance Computational Systems Biology (pp. 91-100). IEEE.（并列通讯作者）原文链接
2008年
[48] Peng, S. L., Li, S.S., Chen, L., Peng, Y. X., & Xiao, N. (2008). Scalable base-station model-based multicast in wireless sensor networks. Journal of computer science and technology, 23(5), 780-791.原文链接
[47] Peng, S., Li, S.,Chen, L., Xiao, N., & Peng, Y. (2008, April). SenCast: Scalable multicastin wireless sensor networks. In Parallel and Distributed Processing, 2008. IPDPS 2008. IEEE International Symposium on (pp. 1-9). IEEE.原文链接
[46] PENG, S. L., LI, S.S., PENG, Y. X., & LIAO, X. K. (2008). CREED: A Clustering Method for Energy-Efficient Reliable Data Delivery in Wireless Sensor Networks[J]. Computer Engineering & Science, 4, 035.原文链接
[45] PENG, S. L., LI, S.S., PENG, Y. X., LIAO, X. K., & XIAO, N. (2008). Energy-efficient and fast method on storage and querying in wireless sensor networks [J]. Journal on Communications, 11, 020.原文链接
[44] Cheng, W., Liao, X., Shen,C., Peng, S., & Li, S. (2008, June). Monitoring Diffusible Event with Point-Sensing Sensors. In Innovative Computing Information and Control, 2008. ICICIC'08. 3rd International Conference on (pp. 592-592). IEEE.原文链接
[43] Shen, C., Cheng, W., Liao, X., & Peng, S. (2008, May). Barrier coverage with mobile sensors. In Parallel Architectures, Algorithms, and Networks, 2008. I-SPAN 2008.International Symposium on (pp. 99-104). IEEE.原文链接
[42] Li, S. S., Liao, X. K., Peng,S. L., Cheng, W., & Nong, X. (2008). A Practical Fairness Control Model in Wireless Sensor Networks. Journal of Computer Research and Development, 45(1), 47-54.原文链接
[41] LI, S. S., LIAO, X. K., ZHU,P. D., & PENG, S. L. (2008). Congestion-Aware Traffic Allocation for Multi-Path Routing in Wireless Sensor Networks. Computer Engineering & Science, 3, 026.原文链接
2007年
[40] Peng, S. L., Li, S.S., Peng, Y. X., Tang, W. S., & Xiao, N. (2007, July). Real-time data delivery in wireless sensor networks: a data-aggregated, cluster-based adaptive approach. In International Conference on Ubiquitous Intelligence and Computing (pp. 514-523). Springer, Berlin, Heidelberg.原文链接
[39] Shao-Liang, P.,Shan-Shan, L., Yu-Xing, P., Pei-Dong, Z., & Nong, X. (2007, May). A delay Sensitive Feedback control Data aggregation Approach in wireless sensor network. In International Conference on Computational Science (pp.393-400). Springer, Berlin, Heidelberg.原文链接
[38] Li, S., Peng, S.*,Liao, X., Zhu, P., & Peng, Y. (2007, May). A Framework for Congestion Control for Reliable Data Delivery in Wireless Sensor Networks.In Integrated Network Management, 2007. IM'07. 10th IFIP/IEEE International Symposium on (pp. 793-796). IEEE.（并列通讯作者）原文链接
[37] Li, S., Liao, X., Peng,S.*, Zhu, P., & Jiang, J. (2007, July). Credit based fairness control in wireless sensor network. In Software Engineering, Artificial Intelligence,Networking, and Parallel/Distributed Computing, 2007. SNPD 2007. Eighth ACIS International Conference on (Vol. 1, pp. 817-822). IEEE.（并列通讯作者）原文链接
2006年
[36] Shao-Liang, P.,Shan-Shan, L., Xiang-Ke, L., Yu-Xing, P., & Hui, Y. (2006, December). Feedback control with prediction for thread allocation in pipeline architecture web server. In International Conference on Distributed Computing and Networking (pp. 454-465). Springer, Berlin, Heidelberg.原文链接
[35] Xiangke, L., Shanshan, L.,Peidong, Z., Shaoliang, P.*, Weifang, C., & Dezhun, D. (2006,August). Path selection of reliable data delivery in wireless sensor networks. In International Conference on Wireless Algorithms, Systems, and Applications (pp. 163-174). Springer, Berlin, Heidelberg.（并列通讯作者）原文链接
[34] Shan-Shan, L., Pei-Dong, Z.,Xiang-Ke, L., Wei-Fang, C., & Shao-Liang, P.* (2006, August). Energy efficient multipath routing using network coding in wireless sensor networks. In International Conference on Ad-Hoc Networks and Wireless(pp. 114-127). Springer, Berlin, Heidelberg.（并列通讯作者）原文链接
[33] Weifang, C., Xiangke, L.,Changxiang, S., Shanshan, L., & Shaoliang, P.* (2006, August). A trust-based routing framework in energy-constrained wireless sensor networks. In International Conference on Wireless Algorithms, Systems, and Applications (pp. 478-489). Springer, Berlin, Heidelberg.（并列通讯作者）原文链接
国内论文
[32]禹向群,王子航,斯洪标,傅思敏,张旭龙,彭绍亮.基于算力网络的元宇宙分层处理模型设计.大数据.2022.
[31]林伟伟,彭绍亮,王田,吴文泰,LI Keqin. 联邦学习专题序言[J].计算机科学.2022.
[30]林伟伟,石方,李毓睿,刘发贵,刘捷,彭绍亮,王子骏.面向混部云失败批处理作业的预测算法[J].国防科技大学学报.2022.
[29]郭桂娟,田晖,皮慧娟,贾维嘉,彭绍亮,王田.面向非独立同分布数据的联邦学习研究进展[J].小型微型计算机系统2022.
[28]刘艳,王田,彭绍亮,王国军,贾维嘉.基于边缘的联邦学习模型清洗和设备聚类方法[J].计算机学报.2021.
[27]彭绍亮,喻风雷,王翔,姬博亚,白亮. “人工智能医学影像多病种识别和辅助诊疗”助力中国精准医疗. 面向未来的科技.2021重学问题、工程技术难题及产业技术问题解读.2021.
[26]孙兵,刘艳,王田,彭绍亮,王国军,贾维嘉.移动边缘网络中联邦学习效率优化综述[J].计算机研究与发展.2021.
[25]杨迪,徐涵,龙承念,彭绍亮.基于区块链技术的道路路边停车管理系统[J].应用科学学报. 2021,39(01).
[24]刘加梦,彭绍亮,李肯立,蒋洪波,龙承念.基于区块链的中草药质量安全管理模型[J].数据与计算发展前沿. 2020,2(05).
[23]崔英博,黄春,唐滔,杨灿群,廖湘科,彭绍亮.基因组大数据变异检测算法的并行优化[J].大数据. 2020,6(05).
[22]彭绍亮,白亮,王力,程敏霞,王树林.面向智慧医疗的边缘计算体系的可信计算研究[J].电信科学.2020.
[21]彭绍亮,王力,王小奇,李肯立.国家超算长沙中心助力新冠肺炎疫情防控[J].国防科技.2020.
[20]彭绍亮,杨顺云,孙哲,程敏霞,崔英博,王晓伟,李非,伯晓晨,廖湘科.生物效应大数据评估聚类算法的并行优化[J].大数据,2018,4(03):24-36.原文链接
[19]王田,李洋,贾维嘉,王国军,彭绍亮.传感云安全研究进展[J].通信学报,2018,39(03):35-52.原文链接
[18]曾建电,王田,贾维嘉,彭绍亮,王国军.传感云研究综述[J].计算机研究与发展,2017,54(05):925-939.原文链接（被中国科学技术信息研究所遴选为F5000论文)
[17]周子寒,彭绍亮*,伯晓晨,李非.基于高通量测序技术的微生物检测数据分析方法[J].生物化学与生物物理进展,2017,44(01):58-69.（并列通讯作者）原文链接
[16]彭绍亮. 研制发展超级计算机对国家意义重大[N]. 解放军报,2016-11-24(008).原文链接
[15]叶晖,潘怡,何文德,彭绍亮.机会网络蓝牙设备唤醒调度机制研究[J].计算机工程与科学,2014,36(07):1290-1295.原文链接
[14]彭绍亮,李姗姗,廖湘科,彭宇行,肖侬.异构无线传感器网络中一种可扩展的代码分发技术[J].中国科学:信息科学,2012,42(02):169-183.原文链接
[13]陈波,杨寿保,彭绍亮,胡云,赫卫卿.无线Mesh网络协作式路由度量的研究[J].计算机工程与科学,2010,32(07):13-15+61.原文链接
[12]程卫芳,彭绍亮,廖湘科,王小平.移动传感器栅栏覆盖研究[J].计算机工程与科学,2009,31(06):93-95.原文链接
[11]彭绍亮,李姗姗,彭宇行,廖湘科,肖侬.无线传感器网络中一种实时高效的数据存储和查询方法[J].通信学报,2008,29(11):128-138.原文链接
[10]彭绍亮. 无线传感器网络中高效传输技术研究[D].国防科学技术大学,2008.原文链接
[9]彭绍亮,李姗姗,彭宇行,廖湘科.CREED:一种高可靠的能量高效的传感器网络分簇方法[J].计算机工程与科学,2008(04):106-108.原文链接
[8]李姗姗,廖湘科,朱培栋,彭绍亮.无线传感器网络中一种拥塞感知的多路径流量分配算法[J].计算机工程与科学,2008(03):86-88+109.原文链接
[7]李姗姗,廖湘科,彭绍亮,程卫芳,肖侬.无线传感器网络中一种实用的公平性控制模型[J].计算机研究与发展,2008(01):47-54.原文链接
[6]彭绍亮,窦勇,李姗姗,金立忠.面向多媒体应用程序的循环特征研究[J].计算机应用研究,2004(06):55-57+78.原文链接
[5]李姗姗,宁洪,陈波,彭绍亮.通用数据仓库元数据模型的研究[J].计算机工程与科学,2004(05):52-55.原文链接
[4]李姗姗,宁洪,彭绍亮.基于CWM的元数据管理系统中数据交换格式的研究[J].计算机工程与应用,2004(14):192-195.原文链接
[3]彭绍亮,窦勇,李姗姗,金立忠.面向多媒体应用的程序特征分析与研究[J].计算机工程与科学,2004(03):98-101.原文链接
[2]彭绍亮. 面向多媒体应用的程序特征分析与系统优化技术研究[D]. 国防科学技术大学,2003.原文链接
[1]李姗姗,宁洪,彭绍亮. 关于CWM的扩展机制的研究[A]. 中国计算机学会数据库专业委员会.第二十届全国数据库学术会议论文集（技术报告篇）[C]. 中国计算机学会数据库专业委员会:中国计算机学会数据库专业委员会,2003:3.原文链接
