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Jun Meng
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2020 – today
- 2024
- [j41]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) - [j40]Yueqi Li, Jingyi Li, Wenxing Li, Shuaiyi Liang, Wudi Wei, Jiemei Chu, Jingzhen Lai, Yao Lin, Hubin Chen, Jinming Su, Xiaopeng Hu, Gang Wang, Jun Meng, Junjun Jiang, Li Ye, Sanqi An:
Scm6A: A Fast and Low-cost Method for Quantifying m6A Modifications at the Single-cell Level. Genom. Proteom. Bioinform. 22(1) (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 2024-12-18 18:29 CET by the dblp team
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