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2020 – today
- 2024
[j31]Yishui Li
, Wei Wang, Jie Liu, Chengkun Wu:
Pre-training molecular representation model with spatial geometry for property prediction. Comput. Biol. Chem. 109: 108023 (2024)- [j30]Jun Zhan, Chengkun Wu, Canqun Yang, Qiucheng Miao, Xiandong Ma:
HFN: Heterogeneous feature network for multivariate time series anomaly detection. Inf. Sci. 670: 120626 (2024) - 2023
- [j29]Leyun Wu, Guangpu Wang, Liping Zhou, Mengxia Mo, Yulong Shi, Bo Li, Leimiao Yin, Qiang Zhao, Yongqing Yang, Chengkun Wu, Zhijian Xu, Weiliang Zhu:
Molecular dynamics study on the behavior and binding mechanism of target protein Transgelin-2 with its agonist TSG12 for anti-asthma drug discovery. Comput. Biol. Medicine 153: 106515 (2023) - [j28]Zhe Li, Chengkun Wu, Yishui Li, Runduo Liu, Kai Lu, Ruibo Wang, Jie Liu, Chunye Gong, Canqun Yang, Xin Wang, Chang-Guo Zhan, Hai-Bin Luo:
Free energy perturbation-based large-scale virtual screening for effective drug discovery against COVID-19. Int. J. High Perform. Comput. Appl. 37(1): 45-57 (2023) - [j27]Yishui Li, Runduo Liu, Jie Liu, Haibin Luo, Chengkun Wu, Zhe Li:
An Open Source Graph-Based Weighted Cycle Closure Method for Relative Binding Free Energy Calculations. J. Chem. Inf. Model. 63(2): 561-570 (2023) - [c26]Yanlong Qiu, Siqi Wang, Xi Yang, Xinyuan Qiu, Chengkun Wu, Yingbo Cui, Canqun Yang:
DrugProtKGE: Weakly Supervised Knowledge Graph Embedding for Highly-Effective Drug-Protein Interaction Representation. BIBM 2023: 1386-1393 - [c25]Jing-Lun Ma, Yanlong Qiu, Canqun Yang, Chengkun Wu:
BioNet+: A Comprehensive Interaction Model of Finding Therapeutics for Diseases with Graph Deep Learning. HPCC/DSS/SmartCity/DependSys 2023: 369-376 - 2022
- [j26]Xi Yang, Wei Wang, Jing-Lun Ma, Yan-Long Qiu, Kai Lu, Dong-Sheng Cao, Chengkun Wu:
BioNet: a large-scale and heterogeneous biological network model for interaction prediction with graph convolution. Briefings Bioinform. 23(1) (2022) - [j25]Xiao-Chen Zhang, Jia-Cai Yi, Guo-Ping Yang, Chengkun Wu, Tingjun Hou, Dong-Sheng Cao:
ABC-Net: a divide-and-conquer based deep learning architecture for SMILES recognition from molecular images. Briefings Bioinform. 23(2) (2022) - [j24]Zongren Li, Qin Zhong, Jing Yang, Yongjie Duan, Wenjun Wang, Chengkun Wu, Kunlun He:
DeepKG: an end-to-end deep learning-based workflow for biomedical knowledge graph extraction, optimization and applications. Bioinform. 38(5): 1477-1479 (2022) - [j23]Jia-Cai Yi, Chengkun Wu, Xiao-Chen Zhang, Xinyi Xiao, Yanlong Qiu, Wentao Zhao, Tingjun Hou, Dong-Sheng Cao:
MICER: a pre-trained encoder-decoder architecture for molecular image captioning. Bioinform. 38(19): 4562-4572 (2022) - [j22]Yan-Long Qiu, Wei Wang, Chengkun Wu, Zhichang Zhang:
A risk factor attention-based model for cardiovascular disease prediction. BMC Bioinform. 23-S(8): 425 (2022) - [j21]Lihuan Yuan, Chengkun Wu, Xiaowei Guo, Canqun Yang:
ParaCopasi: A package for parallel biochemical simulation and analysis. J. Comput. Chem. 43(2): 144-154 (2022) - [j20]Liping Zhou, Tingting Liu, Mengxia Mo, Yulong Shi, Leyun Wu, Yishui Li, Qiuping Qin, Weiliang Zhu, Chengkun Wu, Likun Gong, Zhijian Xu:
Exploring the Binding Affinity and Mechanism between ACE2 and the Trimers of Delta and Omicron Spike Proteins by Molecular Dynamics Simulation and Bioassay. J. Chem. Inf. Model. 62(18): 4512-4522 (2022) - [j19]Guo-Li Xiong, Zhi-Jiang Yang, Jia-Cai Yi, Ningning Wang, Lei Wang, Huimin Zhu, Chengkun Wu, Ai-Ping Lu, Xiang Chen, Shao Liu, Tingjun Hou, Dongsheng Cao:
DDInter: an online drug-drug interaction database towards improving clinical decision-making and patient safety. Nucleic Acids Res. 50(D1): 1200-1207 (2022) - [c24]Guang Yu, Siqi Wang, Zhiping Cai, Xinwang Liu, Chuanfu Xu, Chengkun Wu:
Deep Anomaly Discovery from Unlabeled Videos via Normality Advantage and Self-Paced Refinement. CVPR 2022: 13967-13978 - [c23]Jun Zhan, Siqi Wang, Xiandong Ma, Chengkun Wu, Canqun Yang, Detian Zeng, Shilin Wang:
Stgat-Mad : Spatial-Temporal Graph Attention Network For Multivariate Time Series Anomaly Detection. ICASSP 2022: 3568-3572 - [c22]Qiucheng Miao, Chuanfu Xu, Jun Zhan, Dong Zhu, Chengkun Wu:
An Unsupervised Short- and Long-Term Mask Representation for Multivariate Time Series Anomaly Detection. ICONIP (6) 2022: 504-516 - [c21]Guang Yu, Siqi Wang, Zhiping Cai, Xinwang Liu, Chengkun Wu:
Effective Video Abnormal Event Detection by Learning A Consistency-Aware High-Level Feature Extractor. ACM Multimedia 2022: 6337-6346 - [i2]Qiucheng Miao, Chuanfu Xu, Jun Zhan, Dong Zhu, Chengkun Wu:
An Unsupervised Short- and Long-Term Mask Representation for Multivariate Time Series Anomaly Detection. CoRR abs/2208.09240 (2022) - [i1]Jun Zhan, Chengkun Wu, Canqun Yang, Qiucheng Miao, Xiandong Ma:
HFN: Heterogeneous Feature Network for Multivariate Time Series Anomaly Detection. CoRR abs/2211.00277 (2022) - 2021
- [j18]Chengkun Wu, Xiao-Chen Zhang, Zhi-Jiang Yang, Ai-Ping Lu, Tingjun Hou, Dong-Sheng Cao:
Learning to SMILES: BAN-based strategies to improve latent representation learning from molecules. Briefings Bioinform. 22(6) (2021) - [j17]Xiao-Chen Zhang, Chengkun Wu, Zhi-Jiang Yang, Zhen-Xing Wu, Jia-Cai Yi, Chang-Yu Hsieh, Tingjun Hou, Dong-Sheng Cao:
MG-BERT: leveraging unsupervised atomic representation learning for molecular property prediction. Briefings Bioinform. 22(6) (2021) - [j16]Chengkun Wu, Xinyi Xiao, Canqun Yang, Jinxiang Chen, Jiacai Yi, Yanlong Qiu:
Mining microbe-disease interactions from literature via a transfer learning model. BMC Bioinform. 22(1): 432 (2021) - [j15]Xi Yang, Chengkun Wu, Goran Nenadic, Wei Wang, Kai Lu:
Correction to: Mining a stroke knowledge graph from literature. BMC Bioinform. 22(1): 585 (2021) - [j14]Xi Yang, Chengkun Wu, Goran Nenadic, Wei Wang, Kai Lu:
Mining a stroke knowledge graph from literature. BMC Bioinform. 22-S(10): 387 (2021) - [j13]Guo-Li Xiong, Zhenxing Wu, Jia-Cai Yi, Li Fu, Zhi-Jiang Yang, Chang-Yu Hsieh, Mingzhu Yin, Xiangxiang Zeng, Chengkun Wu, Ai-Ping Lu, Xiang Chen, Tingjun Hou, Dong-Sheng Cao:
ADMETlab 2.0: an integrated online platform for accurate and comprehensive predictions of ADMET properties. Nucleic Acids Res. 49(Webserver-Issue): 5-14 (2021) - [c20]Chengkun Wu, Wei Wang, Xi Yang, Canqun Yang:
Drug-drug interaction extraction from biomedical texts based on multi-attention mechanism. ICBRA 2021: 49-55 - [c19]Kaifan Hu, Chengkun Wu, En Zhu:
Efficient Distributed Stochastic Gradient Descent Through Gaussian Averaging. ICAIS (1) 2021: 41-52 - [c18]Xurui Ma, Xiang Zhang, Chengkun Wu, Chuanfu Xu, Jie Liu, Zhigang Luo:
Joint motion context and clip augmentation for spatio-temporal action detection. ICMV 2021: 120840T - [c17]Dong Zhu, Chengkun Wu, Chuanfu Xu, Zhenghua Wang:
AA-LSTM: An Adversarial Autoencoder Joint Model for Prediction of Equipment Remaining Useful Life. PAKDD (1) 2021: 290-301 - 2020
- [j12]Wei Wang, Xi Yang, Chengkun Wu, Canqun Yang:
CGINet: graph convolutional network-based model for identifying chemical-gene interaction in an integrated multi-relational graph. BMC Bioinform. 21(1): 544 (2020)
2010 – 2019
- 2019
- [c16]Anyao Tang, Chengkun Wu, Jie Liu, Wei Wang, Xi Yang, Yuting Xing:
Parallel Computing for Large-Scale Author Name Disambiguation in MEDLINE. HPCC/SmartCity/DSS 2019: 1580-1586 - 2018
- [j11]Xi Yang, Zhuo Song, Chengkun Wu, Wei Wang, Gen Li, Wei Zhang, Lingqian Wu, Kai Lu:
Constructing a database for the relations between CNV and human genetic diseases via systematic text mining. BMC Bioinform. 19-S(19): 125-134 (2018) - [j10]Yuewei Ming, Yawei Zhao, Chengkun Wu, Kuan Li, Jianping Yin:
Distributed and asynchronous Stochastic Gradient Descent with variance reduction. Neurocomputing 281: 27-36 (2018) - [j9]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) - [c15]Xiang Zhang, Guohua Dong, Yimo Du, Chengkun Wu, Zhigang Luo, Canqun Yang:
Collaborative Subspace Graph Hashing for Cross-modal Retrieval. ICMR 2018: 213-221 - 2017
- [j8]Wei Wang, Xi Yang, Canqun Yang, Xiaowei Guo, Xiang Zhang, Chengkun Wu:
Dependency-based long short term memory network for drug-drug interaction extraction. BMC Bioinform. 18(16): 99-109 (2017) - [j7]Yuting Xing, Gen Li, Zhenguo Wang, Bolun Feng, Zhuo Song, Chengkun Wu:
GTZ: a fast compression and cloud transmission tool optimized for FASTQ files. BMC Bioinform. 18(16): 233-242 (2017) - [j6]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) - [c14]Xi Yang, Jianbin Fang, Jing Chen, Chengkun Wu, Tao Tang, Kai Lu:
High Performance Coordinate Descent Matrix Factorization for Recommender Systems. Conf. Computing Frontiers 2017: 117-126 - [c13]Erxue Min, Yawei Zhao, Jun Long, Chengkun Wu, Kuan Li, Jianping Yin:
SVRG with adaptive epoch size. IJCNN 2017: 2935-2942 - 2016
- [j5]Lili Zhao, Kuan Li, Mao Wang, Jianping Yin, En Zhu, Chengkun Wu, Siqi Wang, Chengzhang Zhu:
Automatic cytoplasm and nuclei segmentation for color cervical smear image using an efficient gap-search MRF. Comput. Biol. Medicine 71: 46-56 (2016) - [c12]Qing Liao, Naiyang Guan, Chengkun Wu, Qian Zhang:
Predicting Unknown Interactions Between Known Drugs and Targets via Matrix Completion. PAKDD (1) 2016: 591-604 - 2015
- [j4]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) - [j3]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) - [c11]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 - [c10]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 - [c9]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 - [c8]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 - [c7]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
- [j2]Mengyi Sun, Bingyu Yan, Chengkun Wu, Xiaole Shirley Liu:
Meeting report on YBPW 2014 (the 3rd Young Bioinformatics PIs Workshop). Quant. Biol. 2(2): 80-84 (2014) - 2013
- [j1]Chengkun Wu, Jean-Marc Schwartz, Goran Nenadic:
PathNER: a tool for systematic identification of biological pathway mentions in the literature. BMC Syst. Biol. 7(S-3): S2 (2013) - 2011
- [c6]Yingjie Xia, Chengkun Wu, Qing-Jie Kong, Zhenyu Shan, Li Kuang:
A Parallel Fusion Method for Heterogeneous Multi-sensor Transportation Data. MDAI 2011: 31-42
2000 – 2009
- 2009
- [c5]Chengkun Wu, Jianping Yin, Zhiping Cai, En Zhu, Jieren Cheng:
A Hybrid Parallel Signature Matching Model for Network Security Applications Using SIMD GPU. APPT 2009: 191-204 - [c4]Jieren Cheng, Jianping Yin, Yun Liu, Zhiping Cai, Chengkun Wu:
Detecting Distributed Denial of Service Attack Based on Multi-feature Fusion. FGIT-SecTech 2009: 132-139 - [c3]Chengkun Wu, Jianping Yin, Zhiping Cai, En Zhu, Jieren Cheng:
An Efficient Pre-filtering Mechanism for Parallel Intrusion Detection Based on Many-Core GPU. FGIT-SecTech 2009: 298-305 - [c2]Jieren Cheng, Jianping Yin, Chengkun Wu, Boyun Zhang, Yun Liu:
DDoS Attack Detection Method Based on Linear Prediction Model. ICIC (1) 2009: 1004-1013 - [c1]Jieren Cheng, Jianping Yin, Yun Liu, Zhiping Cai, Chengkun Wu:
DDoS Attack Detection Using IP Address Feature Interaction. INCoS 2009: 113-118
Coauthor Index
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last updated on 2024-10-07 21:22 CEST by the dblp team
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