Cheng Liang

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 66

Top Topics

Regularized Least Squares

Unsupervised Feature Selection

Protein Complexes

Relational Graph

Top Venues

IEEE ACM Trans. Comput. Biol. Bioinform.

Briefings Bioinform.

Publications

Guanghui Li, Peihao Bai, Jiao Chen, Cheng Liang
Identifying virulence factors using graph transformer autoencoder with ESMFold-predicted structures. Comput. Biol. Medicine 170 (2024)
Guanghui Li, Shuwen Li, Cheng Liang, Qiu Xiao, Jiawei Luo
Drug repositioning based on residual attention network and free multiscale adversarial training. BMC Bioinform. 25 (1) (2024)
Teng Huang, Cheng Liang, Di Wu, Yi He
A Debiasing Autoencoder for Recommender System. IEEE Trans. Consumer Electron. 70 (1) (2024)
Shengpeng Yu, Hong Wang, Meifang Hua, Cheng Liang, Yanshen Sun
Sparse graph cascade multi-kernel fusion contrastive learning for microbe-disease association prediction. Expert Syst. Appl. 252 (2024)
Cheng Liang, Bairun Lin, Huihuan Qian
. ICRA (2024)
Cheng Liang, Chunhong Wu, Bin Liu
A Micro-expression Recognition Algorithm based on Dense Optical Flow and C3D Network. ICIGP (2024)
Weiting Yu, Zhimin Li, Cheng Liang
GCEA: Contrastive-Enhanced Autoencoders with Adaptive Completion for Partial Multi-omics Integration in Cancer Subtyping. ICIC (LNBI 1) (2024)
Shengpeng Yu, Hong Wang, Jing Li, Jun Zhao, Cheng Liang, Yanshen Sun
A Multi-Relational Graph Encoder Network for Fine-Grained Prediction of MiRNA-Disease Associations. IEEE ACM Trans. Comput. Biol. Bioinform. 21 (1) (2024)
Cheng Liang, Di Wu, Yi He, Teng Huang, Zhong Chen, Xin Luo
MMA: Multi-Metric-Autoencoder for Analyzing High-Dimensional and Incomplete Data. ECML/PKDD (5) (2023)
Wenlan Chen, Hong Wang, Cheng Liang
Deep multi-view contrastive learning for cancer subtype identification. Briefings Bioinform. 24 (5) (2023)
Bairun Lin, Cheng Liang, Lianxin Zhang, Huihuan Qian
Design of a Convertible Autonomous Sailboat. RCAR (2023)
Mingchao Shang, Cheng Liang, Jiawei Luo, Huaxiang Zhang
Incomplete multi-view clustering by simultaneously learning robust representations and optimal graph structures. Inf. Sci. 640 (2023)
Hanhan Cong, Hong Liu, Yi Cao, Cheng Liang, Yuehui Chen
Protein-protein interaction site prediction by model ensembling with hybrid feature and self-attention. BMC Bioinform. 24 (1) (2023)
Guanghui Li, Feifan Zeng, Jiawei Luo, Cheng Liang, Qiu Xiao
MNCLCDA: predicting circRNA-drug sensitivity associations by using mixed neighbourhood information and contrastive learning. BMC Medical Informatics Decis. Mak. 23 (1) (2023)
Xiaofeng Shi, Cheng Liang, Hong Wang
Multiview Robust Graph-Based Clustering for Cancer Subtype Identification. IEEE ACM Trans. Comput. Biol. Bioinform. 20 (1) (2023)
Cheng Liang, Lianzhi Wang, Li Liu, Huaxiang Zhang, Fei Guo
Multi-view unsupervised feature selection with tensor robust principal component analysis and consensus graph learning. Pattern Recognit. 141 (2023)
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)
Zixi Zheng, Hong Wang, Yanyan Tan, Cheng Liang, Yanshen Sun
EMPPNet: Enhancing Molecular Property Prediction via Cross-modal Information Flow and Hierarchical Attention. Expert Syst. Appl. 234 (2023)
Shangzhi Guo, Xiaofeng Liao, Gang Li, Kaiyi Xian, Yuhang Li, Cheng Liang
A Hybrid Recommender System Based on Autoencoder and Latent Feature Analysis. Entropy 25 (7) (2023)
Minen Lv, Cheng Liang, Huihuan Qian
A Remotely Controlled Unmanned Surface Vehicle with Obstacle Avoidance for STEM Education. RCAR (2023)
Xinyuan Zhu, Cheng Liang, Huihuan Qian
. ROBIO (2023)
Zhijun Wu, Cheng Liang, Yuan Zhang
Blockchain-Based Authentication of GNSS Civil Navigation Message. IEEE Trans. Aerosp. Electron. Syst. 59 (4) (2023)
Xuejing Shi, Juntong Zhu, Yahui Long, Cheng Liang
Identifying spatial domains of spatially resolved transcriptomics via multi-view graph convolutional networks. Briefings Bioinform. 24 (5) (2023)
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 (2022)
Yuanpeng Hu, Xianmin Wang, Cheng Liang, Jing Li, Di Wu, Yi He
OR-AutoRec: An Outlier-Resilient Autoencoder-based Recommendation model. SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta (2022)
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)
Cheng Liang, Yi He, Teng Huang, Di Wu
AutoRec++: Incorporating Debias Methods into Autoencoder-based Recommender System. SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta (2022)
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) (2022)
Lianzhi Wang, Cheng Liang, Wenjiao Dong, Wenlan Chen
Multi-view Unsupervised Feature Selection via Consensus Guided Low-rank Tensor Learning. BIBM (2022)
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 (2022)
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) (2022)
Rong Ou, Cheng Liang, Xiaoqiang Ji, Huihuan Qian
Design and Energy Consumption Optimization of an Automatic Hybrid Sailboat. RCAR (2021)
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) (2021)
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) (2021)
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)
Zhijun Wu, Cheng Liang, Yuqi Li
Intrusion Detection Method based on Deep Learning. ISPA/BDCloud/SocialCom/SustainCom (2021)
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) (2021)
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)
Cheng Liang, Mingchao Shang, Jiawei Luo
Cancer subtype identification by consensus guided graph autoencoders. Bioinform. 37 (24) (2021)
Haoran Liu, Mingchao Shang, Huaxiang Zhang, Cheng Liang
Cancer Subtype Identification based on Multi-view Subspace Clustering with Adaptive Local Structure Learning. BIBM (2021)
Fei Wang, Lei Zhu, Cheng Liang, Jingjing Li, Xiaojun Chang, Ke Lu
Robust optimal graph clustering. Neurocomputing 378 (2020)
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) (2020)
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 (2020)
Xiangpin Bai, Lei Zhu, Cheng Liang, Jingjing Li, Xiushan Nie, Xiaojun Chang
Multi-view feature selection via Nonnegative Structured Graph Learning. Neurocomputing 387 (2020)
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 (2020)
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) (2020)
Tianyi Zhao, Cheng Liang, Tianyi Zang, Yang Hu
Identification of anticancer peptides based on Random Relevance Vector Machines. BIBM (2019)
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) (2019)
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 (2019)
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) (2019)
Cheng Liang, Shengpeng Yu, Jiawei Luo
Adaptive multi-view multi-label learning for identifying disease-associated candidate miRNAs. PLoS Comput. Biol. 15 (4) (2019)
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) (2019)
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 (2018)
Yu Qu, Huaxiang Zhang, Cheng Liang, Xiao Dong
KATZMDA: Prediction of miRNA-Disease Associations Based on KATZ Model. IEEE Access 6 (2018)
Guanghui Li, Jiawei Luo, Zheng Xiao, Cheng Liang
MTMO: an efficient network-centric algorithm for subtree counting and enumeration. Quant. Biol. 6 (2) (2018)
Jiawei Luo, Lv Ding, Cheng Liang, Tu Hoang Nguyen
An Efficient Network Motif Discovery Approach for Co-Regulatory Networks. IEEE Access 6 (2018)
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 (2018)
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) (2018)
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 (2018)
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 (2017)
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 (2017)
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) (2017)
Guan-Can Yang, Cheng Liang, Zhang Jing, Dao-Ren Wang, Hai-Chao Zhang
A Mixture Record Linkage Approach for US Patent Inventor Disambiguation. MUE/FutureTech (2017)
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 (2017)
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) (2016)
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)
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) (2015)
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 (2015)
Yue Li, Cheng Liang, Ka-Chun Wong, Jiawei Luo, Zhaolei Zhang
Mirsynergy: detecting synergistic miRNA regulatory modules by overlapping neighbourhood expansion. Bioinform. 30 (18) (2014)
Andrei Sharf, Hui Huang, Cheng Liang, Jiapei Zhang, Baoquan Chen, Minglun Gong
Mobility-Trees for Indoor Scenes Manipulation. Comput. Graph. Forum 33 (1) (2014)
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) (2013)
Jiawei Luo, Li Zhang, Cheng Liang
A Multigroup Parallel Genetic Algorithm for Multiple Sequence Alignment. AICI (1) (2011)
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) (2011)
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)
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)
Jiahua Zhang, George Baciu, Shuang Liang, Cheng Liang
A creative try: composing weaving patterns by playing on a multi-input device. VRST (2010)