Chengkun Wu

According to our database, Chengkun Wu authored at least 56 papers between 2009 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Molecular dynamics study on the behavior and binding mechanism of target protein Transgelin-2 with its agonist TSG12 for anti-asthma drug discovery.

Leyun Wu, Guangpu Wang, Liping Zhou, Mengxia Mo, Yulong Shi, Bo Li, Leimiao Yin, Qiang Zhao, Yongqing Yang, Chengkun Wu, Zhijian Xu, Weiliang Zhu

Comput. Biol. Medicine, February, 2023

An Open Source Graph-Based Weighted Cycle Closure Method for Relative Binding Free Energy Calculations.

Yishui Li, Runduo Liu, Jie Liu, Haibin Luo, Chengkun Wu, Zhe Li

J. Chem. Inf. Model., January, 2023

Free energy perturbation-based large-scale virtual screening for effective drug discovery against COVID-19.

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

Int. J. High Perform. Comput. Appl., 2023

BioNet+: A Comprehensive Interaction Model of Finding Therapeutics for Diseases with Graph Deep Learning.

Jing-Lun Ma, Yanlong Qiu, Canqun Yang, Chengkun Wu

Proceedings of the IEEE International Conference on High Performance Computing & Communications, 2023

DrugProtKGE: Weakly Supervised Knowledge Graph Embedding for Highly-Effective Drug-Protein Interaction Representation.

Yanlong Qiu, Siqi Wang, Xi Yang, Xinyuan Qiu, Chengkun Wu, Yingbo Cui, Canqun Yang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022

A risk factor attention-based model for cardiovascular disease prediction.

Yan-Long Qiu, Wei Wang, Chengkun Wu, Zhichang Zhang

BMC Bioinform., December, 2022

DDInter: an online drug-drug interaction database towards improving clinical decision-making and patient safety.

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

Nucleic Acids Res., 2022

Exploring the Binding Affinity and Mechanism between ACE2 and the Trimers of Delta and Omicron Spike Proteins by Molecular Dynamics Simulation and Bioassay.

Liping Zhou, Tingting Liu, Mengxia Mo, Yulong Shi, Leyun Wu, Yishui Li, Qiuping Qin, Weiliang Zhu, Chengkun Wu, Likun Gong, Zhijian Xu

J. Chem. Inf. Model., 2022

ParaCopasi: A package for parallel biochemical simulation and analysis.

Lihuan Yuan, Chengkun Wu, Xiaowei Guo, Canqun Yang

J. Comput. Chem., 2022

HFN: Heterogeneous Feature Network for Multivariate Time Series Anomaly Detection.

Jun Zhan, Chengkun Wu, Canqun Yang, Qiucheng Miao, Xiandong Ma

CoRR, 2022

MICER: a pre-trained encoder-decoder architecture for molecular image captioning.

Jia-Cai Yi, Chengkun Wu, Xiao-Chen Zhang, Xinyi Xiao, Yanlong Qiu, Wentao Zhao, Tingjun Hou, Dong-Sheng Cao

Bioinform., 2022

DeepKG: an end-to-end deep learning-based workflow for biomedical knowledge graph extraction, optimization and applications.

Zongren Li, Qin Zhong, Jing Yang, Yongjie Duan, Wenjun Wang, Chengkun Wu, Kunlun He

Bioinform., 2022

ABC-Net: a divide-and-conquer based deep learning architecture for SMILES recognition from molecular images.

Xiao-Chen Zhang, Jia-Cai Yi, Guo-Ping Yang, Chengkun Wu, Tingjun Hou, Dong-Sheng Cao

Briefings Bioinform., 2022

BioNet: a large-scale and heterogeneous biological network model for interaction prediction with graph convolution.

Xi Yang, Wei Wang, Jing-Lun Ma, Yan-Long Qiu, Kai Lu, Dong-Sheng Cao, Chengkun Wu

Briefings Bioinform., 2022

Effective Video Abnormal Event Detection by Learning A Consistency-Aware High-Level Feature Extractor.

Guang Yu, Siqi Wang, Zhiping Cai, Xinwang Liu, Chengkun Wu

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

An Unsupervised Short- and Long-Term Mask Representation for Multivariate Time Series Anomaly Detection.

Qiucheng Miao, Chuanfu Xu, Jun Zhan, Dong Zhu, Chengkun Wu

Proceedings of the Neural Information Processing - 29th International Conference, 2022

Stgat-Mad : Spatial-Temporal Graph Attention Network For Multivariate Time Series Anomaly Detection.

Jun Zhan, Siqi Wang, Xiandong Ma, Chengkun Wu, Canqun Yang, Detian Zeng, Shilin Wang

Proceedings of the IEEE International Conference on Acoustics, 2022

Deep Anomaly Discovery from Unlabeled Videos via Normality Advantage and Self-Paced Refinement.

Guang Yu, Siqi Wang, Zhiping Cai, Xinwang Liu, Chuanfu Xu, Chengkun Wu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

ADMETlab 2.0: an integrated online platform for accurate and comprehensive predictions of ADMET properties.

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

Nucleic Acids Res., 2021

Correction to: Mining a stroke knowledge graph from literature.

Xi Yang, Chengkun Wu, Goran Nenadic, Wei Wang, Kai Lu

BMC Bioinform., 2021

Mining a stroke knowledge graph from literature.

Xi Yang, Chengkun Wu, Goran Nenadic, Wei Wang, Kai Lu

BMC Bioinform., 2021

Mining microbe-disease interactions from literature via a transfer learning model.

Chengkun Wu, Xinyi Xiao, Canqun Yang, Jinxiang Chen, Jiacai Yi, Yanlong Qiu

BMC Bioinform., 2021

MG-BERT: leveraging unsupervised atomic representation learning for molecular property prediction.

Xiao-Chen Zhang, Chengkun Wu, Zhi-Jiang Yang, Zhen-Xing Wu, Jia-Cai Yi, Chang-Yu Hsieh, Tingjun Hou, Dong-Sheng Cao

Briefings Bioinform., 2021

Learning to SMILES: BAN-based strategies to improve latent representation learning from molecules.

Chengkun Wu, Xiao-Chen Zhang, Zhi-Jiang Yang, Ai-Ping Lu, Tingjun Hou, Dong-Sheng Cao

Briefings Bioinform., 2021

AA-LSTM: An Adversarial Autoencoder Joint Model for Prediction of Equipment Remaining Useful Life.

Dong Zhu, Chengkun Wu, Chuanfu Xu, Zhenghua Wang

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Joint motion context and clip augmentation for spatio-temporal action detection.

Xurui Ma, Xiang Zhang, Chengkun Wu, Chuanfu Xu, Jie Liu, Zhigang Luo

Proceedings of the Fourteenth International Conference on Machine Vision, 2021

Efficient Distributed Stochastic Gradient Descent Through Gaussian Averaging.

Kaifan Hu, Chengkun Wu, En Zhu

Proceedings of the Artificial Intelligence and Security - 7th International Conference, 2021

Drug-drug interaction extraction from biomedical texts based on multi-attention mechanism.

Chengkun Wu, Wei Wang, Xi Yang, Canqun Yang

Proceedings of the ICBRA 2021: 2021 8th International Conference on Bioinformatics Research and Applications, Berlin Germany, September 11, 2021

2020

CGINet: graph convolutional network-based model for identifying chemical-gene interaction in an integrated multi-relational graph.

Wei Wang, Xi Yang, Chengkun Wu, Canqun Yang

BMC Bioinform., 2020

2019

Parallel Computing for Large-Scale Author Name Disambiguation in MEDLINE.

Anyao Tang, Chengkun Wu, Jie Liu, Wei Wang, Xi Yang, Yuting Xing

Proceedings of the 21st IEEE International Conference on High Performance Computing and Communications; 17th IEEE International Conference on Smart City; 5th IEEE International Conference on Data Science and Systems, 2019

2018

mSNP: A Massively Parallel Algorithm for Large-Scale SNP Detection.

Yingbo Cui, Shaoliang Peng, Yutong Lu, Xiaoqian Zhu, Bingqiang Wang, Chengkun Wu, Xiangke Liao

IEEE Trans. Parallel Distributed Syst., 2018

Distributed and asynchronous Stochastic Gradient Descent with variance reduction.

Yuewei Ming, Yawei Zhao, Chengkun Wu, Kuan Li, Jianping Yin

Neurocomputing, 2018

Constructing a database for the relations between CNV and human genetic diseases via systematic text mining.

Xi Yang, Zhuo Song, Chengkun Wu, Wei Wang, Gen Li, Wei Zhang, Lingqian Wu, Kai Lu

BMC Bioinform., 2018

Collaborative Subspace Graph Hashing for Cross-modal Retrieval.

Xiang Zhang, Guohua Dong, Yimo Du, Chengkun Wu, Zhigang Luo, Canqun Yang

Proceedings of the 2018 ACM on International Conference on Multimedia Retrieval, 2018

2017

P-Hint-Hunt: a deep parallelized whole genome DNA methylation detection tool.

Shaoliang Peng, Shunyun Yang, Ming Gao, Xiangke Liao, Jie Liu, Canqun Yang, Chengkun Wu, Wenqiang Yu

BMC Genom., 2017

GTZ: a fast compression and cloud transmission tool optimized for FASTQ files.

Yuting Xing, Gen Li, Zhenguo Wang, Bolun Feng, Zhuo Song, Chengkun Wu

BMC Bioinform., 2017

Dependency-based long short term memory network for drug-drug interaction extraction.

Wei Wang, Xi Yang, Canqun Yang, Xiaowei Guo, Xiang Zhang, Chengkun Wu

BMC Bioinform., 2017

SVRG with adaptive epoch size.

Erxue Min, Yawei Zhao, Jun Long, Chengkun Wu, Kuan Li, Jianping Yin

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

High Performance Coordinate Descent Matrix Factorization for Recommender Systems.

Xi Yang, Jianbin Fang, Jing Chen, Chengkun Wu, Tao Tang, Kai Lu

Proceedings of the Computing Frontiers Conference, 2017

2016

Automatic cytoplasm and nuclei segmentation for color cervical smear image using an efficient gap-search MRF.

Lili Zhao, Kuan Li, Mao Wang, Jianping Yin, En Zhu, Chengkun Wu, Siqi Wang, Chengzhang Zhu

Comput. Biol. Medicine, 2016

Predicting Unknown Interactions Between Known Drugs and Targets via Matrix Completion.

Qing Liao, Naiyang Guan, Chengkun Wu, Qian Zhang

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

2015

Neo-hetergeneous Programming and Parallelized Optimization of a Human Genome Re-sequencing Analysis Software Pipeline on TH-2 Supercomputer.

Xiangke Liao, Shaoliang Peng, Yutong Lu, Yingbo Cui, Chengkun Wu, Heng Wang, Jiajun Wen

Supercomput. Front. Innov., 2015

SupraBiology 2014: Promoting UK-China collaboration on Systems Biology and High Performance Computing.

Ettore Murabito, Riccardo Colombo, Chengkun Wu, Malkhey Verma, Samrina Rehman, Jacky L. Snoep, Shaoliang Peng, Naiyang Guan, Xiangke Liao, Hans V. Westerhoff

Quant. Biol., 2015

BWTCP: A Parallel Method for Constructing BWT in Large Collection of Genomic Reads.

Heng Wang, Shaoliang Peng, Yutong Lu, Chengkun Wu, Jiajun Wen, Jie Liu, Xiaoqian Zhu

Proceedings of the High Performance Computing - 30th International Conference, 2015

Large-Scale Neo-Heterogeneous Programming and Optimization of SNP Detection on Tianhe-2.

Yingbo Cui, Xiangke Liao, Shaoliang Peng, Yutong Lu, Canqun Yang, Bingqiang Wang, Chengkun Wu

Proceedings of the High Performance Computing - 30th International Conference, 2015

A Method to Accelerate GROMACS in Offload Mode on Tianhe-2 Supercomputer.

Haiqiang Wang, Shaoliang Peng, Xiaoqian Zhu, Chengkun Wu, Xin Liu, Qian Chen, Weiliang Zhu, Jinan Wang, Huaiyu Yang

Proceedings of the 15th IEEE/ACM International Symposium on Cluster, 2015

The Challenge of Scaling Genome Big Data Analysis Software on TH-2 Supercomputer.

Shaoliang Peng, Xiangke Liao, Canqun Yang, Yutong Lu, Jie Liu, Yingbo Cui, Heng Wang, Chengkun Wu, Bingqiang Wang

Proceedings of the 15th IEEE/ACM International Symposium on Cluster, 2015

mAMBER: Accelerating Explicit Solvent Molecular Dynamic with Intel Xeon Phi Many-Integrated Core Coprocessors.

Xin Liu, Shaoliang Peng, Canqun Yang, Chengkun Wu, Haiqiang Wang, Qian Cheng, Weiliang Zhu, Jinan Wang

Proceedings of the 15th IEEE/ACM International Symposium on Cluster, 2015

2014

Meeting report on YBPW 2014 (the 3rd Young Bioinformatics PIs Workshop).

Mengyi Sun, Bingyu Yan, Chengkun Wu, Xiaole Shirley Liu

Quant. Biol., 2014

2013

PathNER: a tool for systematic identification of biological pathway mentions in the literature.

Chengkun Wu, Jean-Marc Schwartz, Goran Nenadic

BMC Syst. Biol., 2013

2011

A Parallel Fusion Method for Heterogeneous Multi-sensor Transportation Data.

Yingjie Xia, Chengkun Wu, Qing-Jie Kong, Zhenyu Shan, Li Kuang

Proceedings of the Modeling Decision for Artificial Intelligence, 2011

2009

DDoS Attack Detection Using IP Address Feature Interaction.

Jieren Cheng, Jianping Yin, Yun Liu, Zhiping Cai, Chengkun Wu

Proceedings of the 1st International Conference on Intelligent Networking and Collaborative Systems, 2009

DDoS Attack Detection Method Based on Linear Prediction Model.

Jieren Cheng, Jianping Yin, Chengkun Wu, Boyun Zhang, Yun Liu

Proceedings of the Emerging Intelligent Computing Technology and Applications, 2009

An Efficient Pre-filtering Mechanism for Parallel Intrusion Detection Based on Many-Core GPU.

Chengkun Wu, Jianping Yin, Zhiping Cai, En Zhu, Jieren Cheng

Proceedings of the Security Technology, 2009

Detecting Distributed Denial of Service Attack Based on Multi-feature Fusion.

Jieren Cheng, Jianping Yin, Yun Liu, Zhiping Cai, Chengkun Wu

Proceedings of the Security Technology, 2009

A Hybrid Parallel Signature Matching Model for Network Security Applications Using SIMD GPU.

Chengkun Wu, Jianping Yin, Zhiping Cai, En Zhu, Jieren Cheng

Proceedings of the Advanced Parallel Processing Technologies, 8th International Symposium, 2009