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Jun Meng
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2020 – today
- 2024
- [j40]Zhaowei Wang
, Jun Meng
DeepPepPI: A deep cross-dependent framework with information sharing mechanism for predicting plant peptide-protein interactions. Expert Syst. Appl. 252: 124168 (2024) - [j39]Haibin Li, Jun Meng, Zhaowei Wang
miPEPPred-FRL: A Novel Method for Predicting Plant MiRNA-Encoded Peptides Using Adaptive Feature Representation Learning. J. Chem. Inf. Model. 64(7): 2889-2900 (2024) - [c34]SungMan Rhee, Sung-Pyo Park, Sangku Park, Yuchul Hwang, Sangwoo Pae, Jun Meng, Yoonju Park:
V-Ramp VBD Prediction Method Using OCD-Spectrum and Deep-Learning, and Application to Early Detection of V-NAND Low Metal Reliability Risk. IRPS 2024: 1-6 - [i7]Mingyu Liu, Ekim Yurtsever, Marc Brede, Jun Meng, Walter Zimmer, Xingcheng Zhou, Bare Luka Zagar, Yuning Cui, Alois Knoll:
GraphRelate3D: Context-Dependent 3D Object Detection with Inter-Object Relationship Graphs. CoRR abs/2405.06782 (2024) - 2023
- [j38]Siyuan Zhao
Identification of small open reading frames in plant lncRNA using class-imbalance learning. Comput. Biol. Medicine 157: 106773 (2023) - [j37]Zhaowei Wang
PAMPred: A hierarchical evolutionary ensemble framework for identifying plant antimicrobial peptides. Comput. Biol. Medicine 166: 107545 (2023) - [j36]Wenzhong Xu, Jun Meng, S. Kanaga Suba Raja, M. Padma Priya:
Artificial intelligence in constructing personalized and accurate feedback systems for students. Int. J. Model. Simul. Sci. Comput. 14(1): 2341001:1-2341001:21 (2023) - [j35]Wenjun Zhu
Consistency-based self-supervised visual tracking by using query-communication transformer. Knowl. Based Syst. 278: 110849 (2023) - [c33]Shihao Xia, Jun Meng, Zhaowei Wang
A multi-granularity information-enhanced pre-training method for predicting the coding potential of sORFs in plant lncRNAs. BIBM 2023: 260-263 - [c32]Yu Wang, Jun Meng, Shihao Xia, Haibin Li, Zhaowei Wang
TGAAL: Combining Transformer-based GAN and active learning to identify the coding potential of sORFs in plant lncRNAs. BIBM 2023: 936-939 - [c31]Zhi Zheng, Jin Wang, Yuze Wu, Qifeng Cai, Huan Yu, Ruibin Zhang, Jie Tu, Jun Meng, Guodong Lu, Fei Gao:
Roller-Quadrotor: A Novel Hybrid Terrestrial/Aerial Quadrotor with Unicycle-Driven and Rotor-Assisted Turning. IROS 2023: 6927-6934 - [i6]Huan Yu, Pengqin Wang, Jin Wang, Jialin Ji, Zhi Zheng, Jie Tu, Guodong Lu, Jun Meng, Meixin Zhu, Shaojie Shen, Fei Gao:
Catch Planner: Catching High-Speed Targets in the Flight. CoRR abs/2302.04387 (2023) - [i5]Zhi Zheng, Jin Wang, Yuze Wu, Qifeng Cai, Huan Yu, Ruibin Zhang, Jie Tu, Jun Meng, Guodong Lu, Fei Gao:
Roller-Quadrotor: A Novel Hybrid Terrestrial/Aerial Quadrotor with Unicycle-Driven and Rotor-Assisted Turning. CoRR abs/2303.00668 (2023) - [i4]Qiuyu Ren, Huan Yu, Jiajun Dai, Zhi Zheng, Jun Meng, Li Xu:
Intention-Aware Planner for Robust and Safe Aerial Tracking. CoRR abs/2309.08854 (2023) - 2022
- [j34]Qiang Kang
Mining plant endogenous target mimics from miRNA-lncRNA interactions based on dual-path parallel ensemble pruning method. Briefings Bioinform. 23(1) (2022) - [j33]Qiang Kang
RNAI-FRID: novel feature representation method with information enhancement and dimension reduction for RNA-RNA interaction. Briefings Bioinform. 23(3) (2022) - [j32]Wenjun Zhu, Zuyi Wang, Li Xu
Exploiting temporal coherence for self-supervised visual tracking by using vision transformer. Knowl. Based Syst. 251: 109318 (2022) - [j31]Yaqing Hou
Adaptive kernel selection network with attention constraint for surgical instrument classification. Neural Comput. Appl. 34(2): 1577-1591 (2022) - [j30]Siyuan Zhao
Identifying LncRNA-Encoded Short Peptides Using Optimized Hybrid Features and Ensemble Learning. IEEE ACM Trans. Comput. Biol. Bioinform. 19(5): 2873-2881 (2022) - [c30]Siyuan Zhao, Jun Meng, Yushi Luan:
Predicting the interactions between plant lncRNA-encoded peptide and protein using domain knowledge-based prototypical network. BIBM 2022: 3328-3334 - 2021
- [j29]Zhicheng Wang
Optimized combination methods for exploring and verifying disease-resistant transcription factors in melon. Briefings Bioinform. 22(4) (2021) - [j28]Jun Meng, Qiang Kang
PlncRNA-HDeep: plant long noncoding RNA prediction using hybrid deep learning based on two encoding styles. BMC Bioinform. 22-S(3): 242 (2021) - [j27]Haoran Zhou, Jael Sanyanda Wekesa
PRPI-SC: an ensemble deep learning model for predicting plant lncRNA-protein interactions. BMC Bioinform. 22-S(3): 415 (2021) - [j26]Jun Meng, Gangyi Ding, Laiyang Liu:
Research on a Prediction Method for Carbon Dioxide Concentration Based on an Optimized LSTM Network of Spatio-Temporal Data Fusion. IEICE Trans. Inf. Syst. 104-D(10): 1753-1757 (2021) - [j25]Wenjun Zhu, Jun Meng, Li Xu:
Self-supervised video object segmentation using integration-augmented attention. Neurocomputing 455: 325-339 (2021) - [j24]Jael Sanyanda Wekesa
Predicting Protein Functions Based on Differential Co-expression and Neighborhood Analysis. J. Comput. Biol. 28(1): 1-18 (2021) - [j23]Zhiqin Zhu
Remote Sensing Image Defogging Networks Based on Dual Self-Attention Boost Residual Octave Convolution. Remote. Sens. 13(16): 3104 (2021) - 2020
- [j22]Qiufeng Wu
DCGAN-Based Data Augmentation for Tomato Leaf Disease Identification. IEEE Access 8: 98716-98728 (2020) - [j21]Qiang Kang
PmliPred: a method based on hybrid model and fuzzy decision for plant miRNA-lncRNA interaction prediction. Bioinform. 36(10): 2986-2992 (2020) - [j20]Jiyun Bai, Muyan Liu, Li Ma, Jun Meng:
Provincial Linkage Characteristics of Hog Price in China Based on Linkage Social Network Analysis Method. Int. J. Agric. Environ. Inf. Syst. 11(3): 61-74 (2020) - [j19]Peng Wang, Jiyun Bai, Jun Meng:
A Hybrid Genetic Ant Colony Optimization Algorithm with an Embedded Cloud Model for Continuous Optimization. J. Inf. Process. Syst. 16(5): 1169-1182 (2020) - [c29]Jael Sanyanda Wekesa
LPI-DL: A recurrent deep learning model for plant lncRNA-protein interaction and function prediction with feature optimization. BIBM 2020: 499-502
2010 – 2019
- 2019
- [j18]Jing-Fang Fan
Topology of products similarity network for market forecasting. Appl. Netw. Sci. 4(1): 69:1-69:15 (2019) - [c28]Jun Meng, Zheng Chang, Peng Zhang, Wenhao Shi, Yushi Luan:
lncRNA-LSTM: Prediction of Plant Long Non-coding RNAs Using Long Short-Term Memory Based on p-nts Encoding. ICIC (3) 2019: 347-357 - [c27]Haoran Zhou, Yushi Luan, Jael Sanyanda Wekesa, Jun Meng:
Prediction of Plant lncRNA-Protein Interactions Using Sequence Information Based on Deep Learning. ICIC (3) 2019: 358-368 - 2018
- [j17]Jun Meng, Dingling Jiang, Jing Zhang, Yushi Luan:
Ensemble classification for gene expression data based on parallel clustering. Int. J. Data Min. Bioinform. 20(3): 213-229 (2018) - [j16]Xinyu He
A Two-Stage Biomedical Event Trigger Detection Method Integrating Feature Selection and Word Embeddings. IEEE ACM Trans. Comput. Biol. Bioinform. 15(4): 1325-1332 (2018) - [c26]Xinyu He
Biomedical Event Trigger Detection Based on BiLSTM Integrating Attention Mechanism and Sentence Vector. BIBM 2018: 651-654 - [c25]Jun Meng, Dingling Jiang, Zheng Chang, Yushi Luan:
Prediction of LncRNA by Using Muitiple Feature Information Fusion and Feature Selection Technique. ICIC (2) 2018: 318-329 - [c24]Yunsheng Shi, Jun Meng, Jian Wang, Hongfei Lin, Yumeng Li:
A Normalized Encoder-Decoder Model for Abstractive Summarization Using Focal Loss. NLPCC (2) 2018: 383-392 - [i3]Jing-Fang Fan, Jun Meng, Yi-Min Ding, Guangle Du, Daqing Li, Reuven Cohen, Xiaosong Chen, Fang-Fu Ye, Shlomo Havlin:
Abrupt transitions in collaborative social networks. CoRR abs/1801.00100 (2018) - [i2]Jing-Fang Fan, Keren Cohen, Louis M. Shekhtman, Sibo Liu, Jun Meng, Yoram Louzoun, Shlomo Havlin:
A combined network and machine learning approaches for product market forecasting. CoRR abs/1811.10273 (2018) - 2017
- [j15]Jun Meng, Jing Zhang, Yushi Luan, Xinyu He
Parallel gene selection and dynamic ensemble pruning based on Affinity Propagation. Comput. Biol. Medicine 87: 8-21 (2017) - [c23]Jun Cui, Ning Jiang, Jun Meng, Yushi Luan:
Genome-Wide Analysis of Response Regulator Genes in Solanum lycopersicum. ISBRA 2017: 379-384 - [i1]Yi-Min Ding, Jun Meng, Jing-Fang Fan, Fang-Fu Ye, Xiao-Song Chen:
Statistical properties of random clique networks. CoRR abs/1705.01539 (2017) - 2016
- [j14]Jun Meng, Guan-Li Shi, Yushi Luan:
Plant miRNA function prediction based on functional similarity network and transductive multi-label classification algorithm. Neurocomputing 179: 283-289 (2016) - [j13]Jun Meng, Han Hao, Yushi Luan:
Classifier ensemble selection based on affinity propagation clustering. J. Biomed. Informatics 60: 234-242 (2016) - 2015
- [j12]Jun Meng, Dong Liu, Yushi Luan:
Inferring plant microRNA functional similarity using a weighted protein-protein interaction network. BMC Bioinform. 16: 361:1-361:11 (2015) - [j11]Li Fang Fu, Jun Meng, Ying Liu:
Evaluation of Supply Chain Efficiency Based on a Novel Network of Data Envelopment Analysis Model. Int. J. Bifurc. Chaos 25(14): 1540036:1-1540036:14 (2015) - [j10]Jun Meng, Shuangyun Yu:
基于近邻传播聚类的集成特征选择方法 (Affinity Propagation Clustering Based Ensemble Feature Selection Method). 计算机科学 42(3): 241-244 (2015) - [j9]Jun Meng, Rui Li, Han Hao:
基于相交邻域粗糙集的基因微阵列数据分类 (Gene Microarray Data Classification Based on Intersecting Neighborhood Rough Set). 计算机科学 42(6): 37-40 (2015) - [j8]Jun Meng, Jing Zhang, Yushi Luan:
Gene Selection Integrated with Biological Knowledge for Plant Stress Response Using Neighborhood System and Rough Set Theory. IEEE ACM Trans. Comput. Biol. Bioinform. 12(2): 433-444 (2015) - [c22]Jun Meng, Rui Li, Jing Zhang:
Parallel information fusion method for microarray data analysis. IEEE BigData 2015: 1539-1544 - [c21]Lingzhi Xia, Yonggang Wang, Jun Meng, Wenfu Chen, Zhixia Zhang:
The Influencing Factors of Biochar's Characteristics and the Development of Carbonization Equipments: A Review. GRMSE 2015: 760-769 - 2014
- [j7]Jun Meng
Gene selection using rough set based on neighborhood for the analysis of plant stress response. Appl. Soft Comput. 25: 51-63 (2014) - [j6]Jun Meng, Dong Liu, Chao Sun, Yushi Luan:
Prediction of plant pre-microRNAs and their microRNAs in genome-scale sequences using structure-sequence features and support vector machine. BMC Bioinform. 15: 6595 (2014) - [c20]Jun Meng, Tsauyoung Lin:
Regarding covering as a collection of binary relations. GrC 2014: 191-195 - [c19]Zilong Wang, Qiang Fu
Research on Spatial Variability Characteristics of Black Soil Unfrozen Water in Songnen Plain during Freezing-Thawing Period. CCTA 2014: 193-199 - [c18]Qiuxiang Jiang, Qiang Fu
Comprehensive Evaluation of Land Resources Carrying Capacity under Different Scales Based on RAGA-PPC. CCTA 2014: 200-209 - 2013
- [j5]Jun Meng, Xiukun Wang, Peng Wang, Tsauyoung Lin:
Knowledge Dependency and Rule Induction on Tolerance Rough Sets. J. Multiple Valued Log. Soft Comput. 20(3-4): 401-421 (2013) - [c17]Lin Shi, Jun Meng, Yang Zhou, Tsauyoung Lin:
Construct rough approximation based on GAE. GrC 2013: 259-264 - [c16]Wanlu Wang, Xin Zhang, Jun Meng, Yushi Luan:
Protein function prediction based on physiochemical properties and protein granularity. GrC 2013: 342-346 - [c15]Tianyu Zhu, Lei Wang, Jun Meng:
The exploitation and discussion of new mobile healthcare system model based on smart phone. ICNSC 2013: 497-502 - 2012
- [c14]Jun Meng, Jing Zhang, Xiukun Wang:
A comparison of some approximation definitions about neighborhood system based rough sets. GrC 2012: 753-756 - [c13]Yueying Yang, Di Liu, Jun Meng:
Module of cellular networks in saccharomyces cerevisiae. ISB 2012: 180-184 - 2011
- [j4]Jun Meng, Lixia Wu, Xiukun Wang, Tsauyoung Lin:
Granulation-based symbolic representation of time series and semi-supervised classification. Comput. Math. Appl. 62(9): 3581-3590 (2011) - [c12]Jun Meng, Peng Wang, Xiukun Wang, Tsau Young Lin:
Rule induction for tolerance relation-based rough sets. GrC 2011: 445-450 - 2010
- [j3]Jun Meng, Amir Boag, Vitaliy Lomakin, Eric Michielssen:
A multilevel Cartesian non-uniform grid time domain algorithm. J. Comput. Phys. 229(22): 8430-8444 (2010) - [j2]Jianying Zhang, Xiukun Wang, Hongbo Liu, Jun Meng:
A Novel Access Control Strategy for Distributed Data Systems. J. Digit. Inf. Manag. 8(5): 291-297 (2010) - [c11]Jun Meng, Yumao Gao, Xiukun Wang, Tsauyoung Lin, Jianying Zhang:
Face Recognition Based on Local Binary Patterns with Threshold. GrC 2010: 352-356 - [c10]Jun Meng, Tsauyoung Li, Zehua Chen, Xiukun Wang, Peng Wang:
Isomorphism Between Information Tables for Tolerance and Classical Rough Sets. GrC 2010: 735-738 - [c9]Xiaoping Luo, Shuyan Zhang, Pengying Du, Jun Meng, Sheng Zhou, Zhiming He:
Analysis of Impact Factors in Acupuncture for Patients with Migraine - - Doubts on Prof. Andrew J Vickers' Conclusion. ICIC (3) 2010: 566-572 - [c8]Jun Meng, Xiangyin Liu, Fuming Qiu, Jian Huang:
MS Based Nonlinear Methods for Gastric Cancer Early Detection. LSMS/ICSEE 2010: 189-195
2000 – 2009
- 2008
- [c7]Chong Yao, Keqiu Li, Jun Meng, Wenyu Qu:
Dimension-Exchange-Based Load Balancing on Crossed Cubes. ChinaGrid 2008: 338-342 - [c6]Xiang-Ping Meng, Jun Meng, Li-Juan Lui:
Quantum Chaotic Reinforcement Learning. ICNC (3) 2008: 662-666 - [e1]Carlos Soares, Yonghong Peng, Jun Meng, Takashi Washio, Zhi-Hua Zhou:
Applications of Data Mining in E-Business and Finance. Frontiers in Artificial Intelligence and Applications 177, IOS Press 2008, ISBN 978-1-58603-890-8 [contents] - 2007
- [b1]Jun Meng:
Two Novel Fast Algorithms for Analysis of Low-Frequency Transient Electromagnetic Phenomena. University of Illinois Urbana-Champaign, USA, 2007 - [c5]Carlos Soares, Yonghong Peng, Jun Meng, Takashi Washio, Zhi-Hua Zhou:
Applications of Data Mining in E-Business Finance: Introduction. DMBiz@PAKDD 2007: 1-9 - 2006
- [j1]Can Yang
Cluster-Based Input Selection for Transparent Fuzzy Modeling. Int. J. Data Warehous. Min. 2(3): 57-75 (2006) - [c4]Dan Sun, Jun Meng, Zongyuan He:
Diagnosis of Inverter Faults in PMSM DTC Drive Using Time-Series Data Mining Technique. ADMA 2006: 741-748 - [c3]Jun Meng, Dan Sun, Zhiyong Li:
Applications of Data Mining Time Series to Power Systems Disturbance Analysis. ADMA 2006: 749-760 - [c2]Yi-kun Tao, Jun Meng:
Knowledge Discovery in Membership Functions in Fuzzy Modeling. DMIN 2006: 64-72 - 2005
- [c1]Can Yang
Optimal Fuzzy Modeling Based on Minimum Cluster Volume. ADMA 2005: 232-239
Coauthor Index
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last updated on 2024-11-22 19:46 CET by the dblp team
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