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2020 – today
- 2023
[j39]Zixi Zheng, Yanyan Tan, Hong Wang, Shengpeng Yu, Tianyu Liu, Cheng Liang:
CasANGCL: pre-training and fine-tuning model based on cascaded attention network and graph contrastive learning for molecular property prediction. Briefings Bioinform. 24(1) (2023)- [j38]Xiaofeng Shi, Cheng Liang
, Hong Wang:
Multiview Robust Graph-Based Clustering for Cancer Subtype Identification. IEEE ACM Trans. Comput. Biol. Bioinform. 20(1): 544-556 (2023) - 2022
- [j37]Shengpeng Yu, Hong Wang, Tianyu Liu, Cheng Liang, Jiawei Luo:
A knowledge-driven network for fine-grained relationship detection between miRNA and disease. Briefings Bioinform. 23(3) (2022) - [j36]Guanghui Li, Tao Fang, Yuejin Zhang, Cheng Liang, Qiu Xiao, Jiawei Luo:
Predicting miRNA-disease associations based on graph attention network with multi-source information. BMC Bioinform. 23(1): 244 (2022) - [j35]Guanghui Li, Yawei Lin, Jiawei Luo, Qiu Xiao, Cheng Liang:
GGAECDA: Predicting circRNA-disease associations using graph autoencoder based on graph representation learning. Comput. Biol. Chem. 99: 107722 (2022) - [j34]Jikai Zhang, Yicheng Shi, Yuewen Huang, Cheng Liang, Yantong Dong, Yihua Kang, Bo Feng:
A Displacement Sensing Method Based on Permanent Magnet and Magnetic Flux Measurement. Sensors 22(12): 4326 (2022) - [c13]Lianzhi Wang, Cheng Liang, Wenjiao Dong, Wenlan Chen:
Multi-view Unsupervised Feature Selection via Consensus Guided Low-rank Tensor Learning. BIBM 2022: 575-580 - [i1]Cheng Liang, Teng Huang, Yi He, Song Deng, Di Wu, Xin Luo:
Multi-Metric AutoRec for High Dimensional and Sparse User Behavior Data Prediction. CoRR abs/2212.13879 (2022) - 2021
- [j33]Cheng Liang, Mingchao Shang, Jiawei Luo:
Cancer subtype identification by consensus guided graph autoencoders. Bioinform. 37(24): 4779-4786 (2021) - [j32]Buwen Cao, Shuguang Deng, Hua Qin, Jiawei Luo, Guanghui Li, Cheng Liang:
Inferring MicroRNA-Disease Associations Based on the Identification of a Functional Module. J. Comput. Biol. 28(1): 33-42 (2021) - [j31]Tianyu Mu, Hongzhi Wang, Shenghe Zheng, Shaoqing Zhang, Cheng Liang, Haoyun Tang:
Assassin: an Automatic claSSificAtion system baSed on algorithm SelectIoN. Proc. VLDB Endow. 14(12): 2751-2754 (2021) - [j30]Pingjian Ding, Cheng Liang, Wenjue Ouyang, Guanghui Li, Qiu Xiao, Jiawei Luo:
Inferring Synergistic Drug Combinations Based on Symmetric Meta-Path in a Novel Heterogeneous Network. IEEE ACM Trans. Comput. Biol. Bioinform. 18(4): 1562-1571 (2021) - [c12]Haoran Liu, Mingchao Shang, Huaxiang Zhang, Cheng Liang:
Cancer Subtype Identification based on Multi-view Subspace Clustering with Adaptive Local Structure Learning. BIBM 2021: 484-490 - [c11]Zuhao Ge, Yuhui Li, Cheng Liang, Youyi Song, Teng Zhou, Jing Qin:
Acsnet: Adaptive Cross-Scale Network with Feature Maps Refusion for Vehicle Density Detection. ICME 2021: 1-6 - [c10]Zhijun Wu, Cheng Liang, Yuqi Li:
Intrusion Detection Method based on Deep Learning. ISPA/BDCloud/SocialCom/SustainCom 2021: 445-452 - [c9]Rong Ou, Cheng Liang, Xiaoqiang Ji, Huihuan Qian:
Design and Energy Consumption Optimization of an Automatic Hybrid Sailboat. RCAR 2021: 1414-1418 - [c8]Cheng Liang, Rong Ou, Bairun Lin, Xiaoqiang Ji, Ray C. C. Cheung, Huihuan Qian:
Design of a Battery Carrying Barge for Enhancing Autonomous Sailboat's Endurance Capacity. RCAR 2021: 1438-1443 - 2020
- [j29]Zhijun Wu, Yun Zhang, Yiming Yang, Cheng Liang, Rusen Liu:
Spoofing and Anti-Spoofing Technologies of Global Navigation Satellite System: A Survey. IEEE Access 8: 165444-165496 (2020) - [j28]Fei Wang, Lei Zhu, Cheng Liang, Jingjing Li, Xiaojun Chang, Ke Lu:
Robust optimal graph clustering. Neurocomputing 378: 153-165 (2020) - [j27]Xiangpin Bai, Lei Zhu, Cheng Liang, Jingjing Li, Xiushan Nie, Xiaojun Chang:
Multi-view feature selection via Nonnegative Structured Graph Learning. Neurocomputing 387: 110-122 (2020) - [j26]Guanghui Li, Jiawei Luo, Diancheng Wang, Cheng Liang, Qiu Xiao, Pingjian Ding, Hailin Chen:
Potential circRNA-disease association prediction using DeepWalk and network consistency projection. J. Biomed. Informatics 112: 103624 (2020) - [j25]Pingjian Ding, Cong Shen, Zihan Lai, Cheng Liang, Guanghui Li, Jiawei Luo:
Incorporating Multisource Knowledge To Predict Drug Synergy Based on Graph Co-regularization. J. Chem. Inf. Model. 60(1): 37-46 (2020) - [j24]Qiu Xiao, Jiawei Luo, Cheng Liang, Guanghui Li, Jie Cai, Pingjian Ding, Ying Liu:
Identifying lncRNA and mRNA Co-Expression Modules from Matched Expression Data in Ovarian Cancer. IEEE ACM Trans. Comput. Biol. Bioinform. 17(2): 623-634 (2020)
2010 – 2019
- 2019
- [j23]Guanghui Li, Jiawei Luo, Cheng Liang, Qiu Xiao, Pingjian Ding, Yuejin Zhang:
Prediction of LncRNA-Disease Associations Based on Network Consistency Projection. IEEE Access 7: 58849-58856 (2019) - [j22]Qiu Xiao, Jiawei Luo, Cheng Liang, Jie Cai, Guanghui Li, Buwen Cao:
CeModule: an integrative framework for discovering regulatory patterns from genomic data in cancer. BMC Bioinform. 20(1): 67:1-67:13 (2019) - [j21]Ka-Chun Wong, Jiao Zhang, Shankai Yan, Xiangtao Li, Qiuzhen Lin, Sam Kwong, Cheng Liang:
DNA Sequencing Technologies: Sequencing Data Protocols and Bioinformatics Tools. ACM Comput. Surv. 52(5): 98:1-98:30 (2019) - [j20]Ning Li, Junjie Yang, Jiaming Zhang, Cheng Liang, Ying Wang, Bin Chen, Changying Zhao, Jingwen Wang, Guangye Zhang, Dongmei Zhao, Yi Liu, Lehai Zhang, Jun Yang, Guimei Li, Zhongtao Gai, Lei Zhang, Guoping Zhao:
Correlation of Gut Microbiome Between ASD Children and Mothers and Potential Biomarkers for Risk Assessment. Genom. Proteom. Bioinform. 17(1): 26-38 (2019) - [j19]Cheng Liang, Shengpeng Yu, Jiawei Luo:
Adaptive multi-view multi-label learning for identifying disease-associated candidate miRNAs. PLoS Comput. Biol. 15(4) (2019) - [c7]Tianyi Zhao, Cheng Liang, Tianyi Zang, Yang Hu:
Identification of anticancer peptides based on Random Relevance Vector Machines. BIBM 2019: 1822-1827 - 2018
- [j18]Yu Qu, Huaxiang Zhang, Cheng Liang, Xiao Dong:
KATZMDA: Prediction of miRNA-Disease Associations Based on KATZ Model. IEEE Access 6: 3943-3950 (2018) - [j17]Jiawei Luo, Lv Ding, Cheng Liang, Tu Hoang Nguyen:
An Efficient Network Motif Discovery Approach for Co-Regulatory Networks. IEEE Access 6: 14151-14158 (2018) - [j16]Qiu Xiao, Jiawei Luo, Cheng Liang, Jie Cai, Pingjian Ding:
A graph regularized non-negative matrix factorization method for identifying microRNA-disease associations. Bioinform. 34(2): 239-248 (2018) - [j15]Jiawei Luo, Pingjian Ding, Cheng Liang, Xiangtao Chen:
Semi-supervised prediction of human miRNA-disease association based on graph regularization framework in heterogeneous networks. Neurocomputing 294: 29-38 (2018) - [j14]Pingjian Ding, Jiawei Luo, Cheng Liang, Qiu Xiao, Buwen Cao:
Human disease MiRNA inference by combining target information based on heterogeneous manifolds. J. Biomed. Informatics 80: 26-36 (2018) - [j13]Guanghui Li, Jiawei Luo, Qiu Xiao, Cheng Liang, Pingjian Ding:
Predicting microRNA-disease associations using label propagation based on linear neighborhood similarity. J. Biomed. Informatics 82: 169-177 (2018) - [j12]Guanghui Li, Jiawei Luo, Zheng Xiao, Cheng Liang:
MTMO: an efficient network-centric algorithm for subtree counting and enumeration. Quant. Biol. 6(2): 142-154 (2018) - 2017
- [j11]Pingjian Ding, Jiawei Luo, Cheng Liang, Jie Cai, Ying Liu, Xiangtao Chen:
A Novel Group Wise-Based Method for Calculating Human miRNA Functional Similarity. IEEE Access 5: 2364-2372 (2017) - [j10]Jiawei Luo, Qiu Xiao, Cheng Liang, Pingjian Ding:
Predicting MicroRNA-Disease Associations Using Kronecker Regularized Least Squares Based on Heterogeneous Omics Data. IEEE Access 5: 2503-2513 (2017) - [j9]Guanghui Li, Jiawei Luo, Qiu Xiao, Cheng Liang, Pingjian Ding, Buwen Cao:
Predicting MicroRNA-Disease Associations Using Network Topological Similarity Based on DeepWalk. IEEE Access 5: 24032-24039 (2017) - [j8]Jiawei Luo, Pingjian Ding, Cheng Liang, Buwen Cao, Xiangtao Chen:
Collective Prediction of Disease-Associated miRNAs Based on Transduction Learning. IEEE ACM Trans. Comput. Biol. Bioinform. 14(6): 1468-1475 (2017) - [c6]Guan-Can Yang, Cheng Liang, Jing Zhang, Dao-Ren Wang, Hai-Chao Zhang:
A Mixture Record Linkage Approach for US Patent Inventor Disambiguation. MUE/FutureTech 2017: 331-338 - 2016
- [j7]Cheng Liang, Yue Li, Jiawei Luo:
A Novel Method to Detect Functional microRNA Regulatory Modules by Bicliques Merging. IEEE ACM Trans. Comput. Biol. Bioinform. 13(3): 549-556 (2016) - [c5]Buwen Cao, Jiawei Luo, Cheng Liang, Shulin Wang:
Detecting overlapping protein complexes in weighted protein-protein interaction networks using pseudo-clique extension based on fuzzy relation. IJCNN 2016: 1244-1252 - 2015
- [j6]Cheng Liang, Yue Li, Jiawei Luo, Zhaolei Zhang:
A novel motif-discovery algorithm to identify co-regulatory motifs in large transcription factor and microRNA co-regulatory networks in human. Bioinform. 31(14): 2348-2355 (2015) - [j5]Buwen Cao, Jiawei Luo, Cheng Liang, Shulin Wang, Dan Song:
MOEPGA: A novel method to detect protein complexes in yeast protein-protein interaction networks based on MultiObjective Evolutionary Programming Genetic Algorithm. Comput. Biol. Chem. 58: 173-181 (2015) - 2014
- [j4]Yue Li, Cheng Liang, Ka-Chun Wong, Jiawei Luo, Zhaolei Zhang:
Mirsynergy: detecting synergistic miRNA regulatory modules by overlapping neighbourhood expansion. Bioinform. 30(18): 2627-2635 (2014) - [j3]Andrei Sharf, Hui Huang, Cheng Liang, Jiapei Zhang, Baoquan Chen, Minglun Gong:
Mobility-Trees for Indoor Scenes Manipulation. Comput. Graph. Forum 33(1): 2-14 (2014) - 2013
- [j2]Jiahua Zhang, George Baciu, Dejun Zheng, Cheng Liang, Guiqing Li, Jinlian Hu:
IDSS: A Novel Representation for Woven Fabrics. IEEE Trans. Vis. Comput. Graph. 19(3): 420-432 (2013) - 2011
- [j1]Jinjie Lin, Daniel Cohen-Or, Hao Zhang, Cheng Liang, Andrei Sharf, Oliver Deussen, Baoquan Chen:
Structure-preserving retargeting of irregular 3D architecture. ACM Trans. Graph. 30(6): 183 (2011) - [c4]Jiawei Luo, Li Zhang, Cheng Liang:
A Multigroup Parallel Genetic Algorithm for Multiple Sequence Alignment. AICI (1) 2011: 308-316 - [c3]Jiahua Zhang, George Baciu, Shuang Liang, Cheng Liang, Jinlian Hu:
A further try: composing knitted patterns by playing on a multi-input device. VRCAI 2011: 347-350 - 2010
- [c2]Jiahua Zhang, George Baciu, Shuang Liang, Cheng Liang:
A creative try: composing weaving patterns by playing on a multi-input device. VRST 2010: 127-130 - [c1]Cheng Liang, George Baciu, Jiahua Zhang, Eddie C. L. Chan, Guiqing Li:
Footprint-profile sweep surface: a flexible method for realtime generation and rendering of massive urban buildings. VRST 2010: 151-158
Coauthor Index
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last updated on 2023-03-22 22:56 CET by the dblp team
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