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Jianjun Hu
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2020 – today
- 2024
- [j56]Sandeep K. Chaudhuri
, Qinyang Li
Deep Learning-Based Classification of Gamma Photon Interaction in Room-Temperature Semiconductor Radiation Detectors. IEEE Access 12: 20313-20325 (2024) - [j55]Jing Xu, Xiaoli Ruan, Jing Yang, Bingqi Hu, Shaobo Li, Jianjun Hu:
SME-MFP: A novel spatiotemporal neural network with multiangle initialization embedding toward multifunctional peptides prediction. Comput. Biol. Chem. 109: 108033 (2024) - [j54]Jialin Lu, Jing Yang
A2C-DRL: Dynamic Scheduling for Stochastic Edge-Cloud Environments Using A2C and Deep Reinforcement Learning. IEEE Internet Things J. 11(9): 16915-16927 (2024) - [j53]Jing Yang, Zukun Yu, Shaobo Li, Yang Cao, Jianjun Hu, Ji Xu
GGT-SNN: Graph learning and Gaussian prior integrated spiking graph neural network for event-driven tactile object recognition. Inf. Sci. 677: 120998 (2024) - [j52]Hongchao An, Jing Yang
A class-incremental learning approach for learning feature-compatible embeddings. Neural Networks 180: 106685 (2024) - [j51]Jie Sun, Jing Yang, Wang Chen, Sujie Ding, Shaobo Li, Jianjun Hu:
LCTCS: Low-Cost and Two-Channel Sparse Network for Hyperspectral Image Classification. Neural Process. Lett. 56(3): 181 (2024) - [j50]Shujie Ding
LSSMA: Lightweight Spectral-Spatial Neural Architecture With Multiattention Feature Extraction for Hyperspectral Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 6394-6413 (2024) - [i33]Sadman Sadeed Omee, Nihang Fu, Rongzhi Dong, Ming Hu, Jianjun Hu:
Structure-based out-of-distribution (OOD) materials property prediction: a benchmark study. CoRR abs/2401.08032 (2024) - [i32]Yuqi Song, Rongzhi Dong, Lai Wei, Qin Li, Jianjun Hu:
AlphaCrystal-II: Distance matrix based crystal structure prediction using deep learning. CoRR abs/2404.04810 (2024) - [i31]Qinyang Li, Nicholas Miklaucic, Jianjun Hu:
Out-of-distribution materials property prediction using adversarial learning based fine-tuning. CoRR abs/2408.09297 (2024) - 2023
- [j49]Rongzhi Dong
Discovery of 2D Materials using Transformer Network-Based Generative Design. Adv. Intell. Syst. 5(12) (2023) - [j48]Jing Yang
GACP: graph neural networks with ARMA filters and a parallel CNN for hyperspectral image classification. Int. J. Digit. Earth 16(1): 1770-1800 (2023) - [j47]Lai Wei, Nihang Fu, Yuqi Song, Qian Wang, Jianjun Hu:
Probabilistic generative transformer language models for generative design of molecules. J. Cheminformatics 15(1): 88 (2023) - [j46]Qinyang Li, Rongzhi Dong, Nihang Fu, Sadman Sadeed Omee
Global Mapping of Structures and Properties of Crystal Materials. J. Chem. Inf. Model. 63(12): 3814-3826 (2023) - [j45]Mingbao Yang
Multi-Head multimodal deep interest recommendation network. Knowl. Based Syst. 276: 110689 (2023) - [j44]Nihang Fu, Lai Wei
Material transformers: deep learning language models for generative materials design. Mach. Learn. Sci. Technol. 4(1): 15001 (2023) - [i30]Rongzhi Dong, Yuqi Song, Edirisuriya M. Dilanga Siriwardane, Jianjun Hu:
Discovery of 2D materials using Transformer Network based Generative Design. CoRR abs/2301.05824 (2023) - [i29]Qin Li, Nihang Fu, Sadman Sadeed Omee, Jianjun Hu:
MD-HIT: Machine learning for materials property prediction with dataset redundancy control. CoRR abs/2307.04351 (2023) - [i28]Sadman Sadeed Omee, Lai Wei, Jianjun Hu:
Crystal structure prediction using neural network potential and age-fitness Pareto genetic algorithm. CoRR abs/2309.06710 (2023) - [i27]Rongzhi Dong, Nihang Fu, Dirisuriya M. D. Siriwardane, Jianjun Hu:
Generative Design of inorganic compounds using deep diffusion language models. CoRR abs/2310.00475 (2023) - [i26]Sandeep K. Chaudhuri, Qinyang Li, Krishna C. Mandal, Jianjun Hu:
Deep Learning-Based Classification of Gamma Photon Interactions in Room-Temperature Semiconductor Radiation Detectors. CoRR abs/2311.00682 (2023) - 2022
- [j43]Jianjun Hu
Torque Fluctuation Suppression Strategy of Integrated Electric Drive System Based on the Principle of Minimization of Instantaneous Current Tracking Error. IEEE Access 10: 124673-124684 (2022) - [j42]Feng Xiao, Jianjun Hu, Meixia Jia, Pengxing Zhu
A novel integrated control framework of AFS, ASS, and DYC based on ideal roll angle to improve vehicle stability. Adv. Eng. Informatics 54: 101764 (2022) - [j41]Steph-Yves M. Louis, Alireza Nasiri
NODE-SELECT: A graph neural network based on a selective propagation technique. Neurocomputing 494: 396-408 (2022) - [j40]Sadman Sadeed Omee
Scalable deeper graph neural networks for high-performance materials property prediction. Patterns 3(5): 100491 (2022) - [j39]Zhonghao Liu
DeepSeqPanII: An Interpretable Recurrent Neural Network Model With Attention Mechanism for Peptide-HLA Class II Binding Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. 19(4): 2188-2196 (2022) - [i25]Yong Zhao, Edirisuriya M. Dilanga Siriwardane, Zhenyao Wu, Ming Hu, Nihang Fu, Jianjun Hu:
Physics Guided Generative Adversarial Networks for Generations of Crystal Materials with Symmetry Constraints. CoRR abs/2203.14352 (2022) - [i24]Andrew Eldridge, Alejandro Rodriguez, Ming Hu, Jianjun Hu:
Genetic programming-based learning of carbon interatomic potential for materials discovery. CoRR abs/2204.00735 (2022) - [i23]Lai Wei, Qinyang Li, Yuqi Song, Stanislav Stefanov, Edirisuriya M. Dilanga Siriwardane, Fanglin Chen, Jianjun Hu:
Crystal Transformer: Self-learning neural language model for Generative and Tinkering Design of Materials. CoRR abs/2204.11953 (2022) - [i22]Nihang Fu, Lai Wei, Yuqi Song, Qinyang Li, Rui Xin, Sadman Sadeed Omee, Rongzhi Dong, Edirisuriya M. Dilanga Siriwardane, Jianjun Hu:
Materials Transformers Language Models for Generative Materials Design: a benchmark study. CoRR abs/2206.13578 (2022) - [i21]Lai Wei, Nihang Fu, Yuqi Song, Qian Wang, Jianjun Hu:
Probabilistic Generative Transformer Language models for Generative Design of Molecules. CoRR abs/2209.09406 (2022) - [i20]Daniel Varivoda, Rongzhi Dong, Sadman Sadeed Omee, Jianjun Hu:
Materials Property Prediction with Uncertainty Quantification: A Benchmark Study. CoRR abs/2211.02235 (2022) - [i19]Nihang Fu, Jeffrey Hu, Ying Feng, Gregory Morrison, Hans-Conrad zur Loye, Jianjun Hu:
Composition based oxidation state prediction of materials using deep learning. CoRR abs/2211.15895 (2022) - 2021
- [j38]Hongjing Wei
Unified Multi-Objective Genetic Algorithm for Energy Efficient Job Shop Scheduling. IEEE Access 9: 54542-54557 (2021) - [j37]Qisong Song
Intelligent Optimization Algorithm-Based Path Planning for a Mobile Robot. Comput. Intell. Neurosci. 2021: 8025730:1-8025730:17 (2021) - [j36]Chuanjiang Li
Meta-learning for few-shot bearing fault diagnosis under complex working conditions. Neurocomputing 439: 197-211 (2021) - [j35]Na Cui, Jianjun Hu, Feng Liang
Complementary dimension reduction. Stat. Anal. Data Min. 14(1): 31-40 (2021) - [c42]Meixia Jia, Jianjun Hu, Haitao Liu:
Analysis and formulation of general running cycle of light vehicles. AIAM (ACM) 2021: 2384-2389 - [c41]Jin Su, Jianjun Hu, Yue Cao, Yusheng Liu, Wang Chen, Chao Wang:
Towards Automated GUI Design of Display Control Systems Based on SysML and Ontologies. CSDM Asia / CSDM 2021: 447-460 - [i18]Steph-Yves M. Louis, Alireza Nasiri, Fatima J. Rolland, Cameron Mitro, Jianjun Hu:
NODE-SELECT: A Graph Neural Network Based On A Selective Propagation Technique. CoRR abs/2102.08588 (2021) - [i17]Rui Xin, Edirisuriya M. Dilanga Siriwardane, Yuqi Song, Yong Zhao, Steph-Yves M. Louis, Alireza Nasiri, Jianjun Hu:
Active learning based generative design for the discovery of wide bandgap materials. CoRR abs/2103.00608 (2021) - [i16]Alireza Nasiri, Jianjun Hu:
SoundCLR: Contrastive Learning of Representations For Improved Environmental Sound Classification. CoRR abs/2103.01929 (2021) - [i15]Wenhui Yang, Edirisuriya M. Dilanga Siriwardane, Rongzhi Dong, Yuxin Li, Jianjun Hu:
Crystal structure prediction of materials with high symmetry using differential evolution. CoRR abs/2104.09764 (2021) - [i14]Jianjun Hu, Stanislav Stefanov, Yuqi Song, Sadman Sadeed Omee, Steph-Yves M. Louis, Edirisuriya M. Dilanga Siriwardane, Yong Zhao:
MaterialsAtlas.org: A Materials Informatics Web App Platform for Materials Discovery and Survey of State-of-the-Art. CoRR abs/2109.04007 (2021) - [i13]Huafeng Quan, Shaobo Li, Changchang Zeng, Hongjing Wei, Jianjun Hu:
Big Data driven Product Design: A Survey. CoRR abs/2109.11424 (2021) - [i12]Sadman Sadeed Omee, Steph-Yves M. Louis, Nihang Fu, Lai Wei, Sourin Dey, Rongzhi Dong, Qinyang Li, Jianjun Hu:
Scalable deeper graph neural networks for high-performance materials property prediction. CoRR abs/2109.12283 (2021) - [i11]Nghia Nguyen, Steph-Yves M. Louis, Lai Wei, Kamal Choudhary, Ming Hu, Jianjun Hu:
Predicting Lattice Phonon Vibrational Frequencies Using Deep Graph Neural Networks. CoRR abs/2111.05885 (2021) - [i10]Yong Zhao, Edirisuriya M. Dilanga Siriwardane, Jianjun Hu:
Physics guided deep learning generative models for crystal materials discovery. CoRR abs/2112.03528 (2021) - [i9]Daniel Gleaves, Edirisuriya M. Dilanga Siriwardane, Yong Zhao, Nihang Fu, Jianjun Hu:
Semi-supervised teacher-student deep neural network for materials discovery. CoRR abs/2112.06142 (2021) - 2020
- [j34]Yin Hong
Improving Graph Convolutional Networks Based on Relation-Aware Attention for End-to-End Relation Extraction. IEEE Access 8: 51315-51323 (2020) - [j33]Yabo Dan
Computational Prediction of Critical Temperatures of Superconductors Based on Convolutional Gradient Boosting Decision Trees. IEEE Access 8: 57868-57878 (2020) - [j32]Shaobo Li
A Novel Method of Bearing Fault Diagnosis in Time-Frequency Graphs Using InceptionResnet and Deformable Convolution Networks. IEEE Access 8: 92743-92753 (2020) - [j31]Yin Hong, Yanxia Liu, Suizhu Yang, Kaiwen Zhang, Jianjun Hu
Joint extraction of entities and relations using graph convolution over pruned dependency trees. Neurocomputing 411: 302-312 (2020) - [j30]Jianjun Hu, Mengjing Yu, Qingzhen Xu, Jing Gao:
Classifiers Protected against Attacks by Fusion of Multi-Branch Perturbed GAN. Mob. Networks Appl. 25(6): 2321-2335 (2020) - [j29]Shaobo Li
Critical Temperature Prediction of Superconductors Based on Atomic Vectors and Deep Learning. Symmetry 12(2): 262 (2020) - [i8]Yuqi Song, Joseph Lindsay, Yong Zhao, Alireza Nasiri, Steph-Yves M. Louis, Jie Ling, Ming Hu, Jianjun Hu:
Machine Learning based prediction of noncentrosymmetric crystal materials. CoRR abs/2002.11295 (2020) - [i7]Steph-Yves M. Louis, Yong Zhao, Alireza Nasiri, Xiran Wong, Yuqi Song, Fei Liu, Jianjun Hu:
Global Attention based Graph Convolutional Neural Networks for Improved Materials Property Prediction. CoRR abs/2003.13379 (2020) - [i6]Yong Zhao, Kunpeng Yuan, Yinqiao Liu, Steph-Yves M. Louis, Ming Hu, Jianjun Hu:
Predicting Elastic Properties of Materials from Electronic Charge Density Using 3D Deep Convolutional Neural Networks. CoRR abs/2003.13425 (2020) - [i5]Chengchang Zeng, Shaobo Li, Qin Li, Jie Hu, Jianjun Hu:
A Survey on Machine Reading Comprehension: Tasks, Evaluation Metrics, and Benchmark Datasets. CoRR abs/2006.11880 (2020) - [i4]Yuqi Song, Edirisuriya M. Dilanga Siriwardane, Yong Zhao, Jianjun Hu:
Computational discovery of new 2D materials using deep learning generative models. CoRR abs/2012.09314 (2020)
2010 – 2019
- 2019
- [j28]Ansi Zhang
Limited Data Rolling Bearing Fault Diagnosis With Few-Shot Learning. IEEE Access 7: 110895-110904 (2019) - [j27]Alireza Nasiri
Online Damage Monitoring of SiCf-SiCm Composite Materials Using Acoustic Emission and Deep Learning. IEEE Access 7: 140534-140541 (2019) - [j26]Jianjun Hu
An Optimal Torque Distribution Control Strategy for Four-Wheel Independent Drive Electric Vehicles Considering Energy Economy. IEEE Access 7: 141826-141837 (2019) - [j25]Jianjun Hu
Study on Electromechanical Coupling Characteristics of an Integrated Electric Drive System for Electric Vehicle. IEEE Access 7: 166493-166508 (2019) - [j24]Yuxin Cui, Jingru Zhang, Zhenyu He, Jianjun Hu:
Multiple pedestrian tracking by combining particle filter and network flow model. Neurocomputing 351: 217-227 (2019) - [j23]Yuxin Cui, Guiying Zhang, Zhonghao Liu, Zheng Xiong, Jianjun Hu
A deep learning algorithm for one-step contour aware nuclei segmentation of histopathology images. Medical Biol. Eng. Comput. 57(9): 2027-2043 (2019) - [j22]Sen Zhang
Deep Autoencoder Neural Networks for Short-Term Traffic Congestion Prediction of Transportation Networks. Sensors 19(10): 2229 (2019) - [j21]Huafeng Quan
Personalized Product Evaluation Based on GRA-TOPSIS and Kansei Engineering. Symmetry 11(7): 867 (2019) - [c40]Alireza Nasiri
AudioMask: Robust Sound Event Detection Using Mask R-CNN and Frame-Level Classifier. ICTAI 2019: 485-492 - [i3]Guiying Zhang, Yuxin Cui, Yong Zhao, Jianjun Hu:
ComplexFace: a Multi-Representation Approach for Image Classification with Small Dataset. CoRR abs/1902.07902 (2019) - [i2]Yabo Dan, Yong Zhao, Xiang Li, Shaobo Li, Ming Hu, Jianjun Hu:
Generative adversarial networks (GAN) based efficient sampling of chemical space for inverse design of inorganic materials. CoRR abs/1911.05020 (2019) - 2018
- [j20]Shaobo Li
A Novel Evolutionary Algorithm for Designing Robust Analog Filters. Algorithms 11(3): 26 (2018) - [j19]Jie Hu
Patent Keyword Extraction Algorithm Based on Distributed Representation for Patent Classification. Entropy 20(2): 104 (2018) - [j18]Weiyang Lin
Fast, robust and accurate posture detection algorithm based on Kalman filter and SSD for AGV. Neurocomputing 316: 306-312 (2018) - [j17]Shaohua Luo
Anti-oscillation and chaos control of the fractional-order brushless DC motor system via adaptive echo state networks. J. Frankl. Inst. 355(14): 6435-6453 (2018) - [j16]Shaobo Li, Jie Hu, Yuxin Cui, Jianjun Hu
DeepPatent: patent classification with convolutional neural networks and word embedding. Scientometrics 117(2): 721-744 (2018) - [c39]Yuansheng Huang, Jianjun Hu, Yaqian Cai, Lei Yang:
Coupling PSO-GPR Based Medium and Long Term Load Forecasting in Beijing. BIC-TA (1) 2018: 496-507 - [i1]Yuxin Cui, Guiying Zhang, Zhonghao Liu, Zheng Xiong, Jianjun Hu:
A Deep Learning Algorithm for One-step Contour Aware Nuclei Segmentation of Histopathological Images. CoRR abs/1803.02786 (2018) - 2017
- [j15]Lishu Qin
Fuzzy Logic Controllers for Specialty Vehicles Using a Combination of Phase Plane Analysis and Variable Universe Approach. IEEE Access 5: 1579-1588 (2017) - [j14]Xuemei Yao
Improving Rolling Bearing Fault Diagnosis by DS Evidence Theory Based Fusion Model. J. Sensors 2017: 6737295:1-6737295:14 (2017) - [j13]Shaobo Li
An Ensemble Deep Convolutional Neural Network Model with Improved D-S Evidence Fusion for Bearing Fault Diagnosis. Sensors 17(8): 1729 (2017) - [c38]Yong Liu, Wang Chen, Jianjun Hu, Xiaojun Zheng, Yanjun Shi:
Ensemble of surrogates with an evolutionary multi-agent system. CSCWD 2017: 521-525 - 2016
- [c37]Yuxin Cui, Jianjun Hu
Self-adjusting nuclei segmentation (SANS) of Hematoxylin-Eosin stained histopathological breast cancer images. BIBM 2016: 956-963 - [c36]Zhonghao Liu, Jianjun Hu
Geometry based general prediction model of protein-peptide binding affinities. BIBM 2016: 1590-1597 - 2015
- [c35]Emrah Atilgan
A Combinatorial Genetic Algorithm for Computational Doping based Material Design. GECCO (Companion) 2015: 1349-1350 - 2014
- [j12]Ananda Mondal
Network based prediction of protein localisation using diffusion Kernel. Int. J. Data Min. Bioinform. 9(4): 386-400 (2014) - 2013
- [c34]Ananda Mohan Mondal, Jianjun Hu:
Scored Protein-Protein Interaction to Predict Subcellular Localizations for Yeast Using Diffusion Kernel. PReMI 2013: 647-655 - 2012
- [j11]Jhih-rong Lin, Ananda Mondal
Minimalist ensemble algorithms for genome-wide protein localization prediction. BMC Bioinform. 13: 157 (2012) - [c33]Jhih-rong Lin, Jianjun Hu:
Nuclear localization signal prediction based on sequential pattern mining. BCB 2012: 536-538 - [c32]Ananda Mohan Mondal, Jianjun Hu:
Mutation analysis of disease causing proteins. BIBM Workshops 2012: 975-977 - 2011
- [j10]Rong Liu, Jianjun Hu:
HemeBIND: a novel method for heme binding residue prediction by combining structural and sequence information. BMC Bioinform. 12: 207 (2011) - [c31]M. Mondal Ananda, Jhih-rong Lin, Jianjun Hu:
Network based subcellular localization prediction for multi-label proteins. BIBM Workshops 2011: 473-480 - [c30]Yueliang Chen, Guixue Bian, Lin Yi, Jianjun Hu:
Study on distributions of fatigue crack-nucleating particle sizes and cracks formation in aluminum alloy. ISI 2011: 331-334 - 2010
- [j9]Jianjun Hu, Fan Zhang:
BayesMotif: de novo protein sorting motif discovery from impure datasets. BMC Bioinform. 11(S-1): 66 (2010) - [c29]M. Mondal Ananda, Jianjun Hu:
NetLoc: Network based protein localization prediction using protein-protein interaction and co-expression networks. BIBM 2010: 142-148 - [c28]Fan Zhang, Jianjun Hu:
Bioinformatics Analysis of Physichemical Properties of Protein Sorting Signals. BICoB 2010: 61-66 - [c27]Emrah Atilgan
Efficient protein-ligand docking using sustainable evolutionary algorithm. GECCO 2010: 211-212 - [c26]Emrah Atilgan
Efficient protein-ligand docking using sustainable evolutionary algorithms. HIS 2010: 113-118
2000 – 2009
- 2009
- [j8]Jing Peng, Chang-jie Tang, Dongqing Yang, Jing Zhang, Jianjun Hu:
Similarity computing model of high dimension data for symptom classification of Chinese traditional medicine. Appl. Soft Comput. 9(1): 209-218 (2009) - [j7]Chun-Chi Liu, Jianjun Hu, Mrinal Kalakrishnan, Haiyan Huang, Xianghong Jasmine Zhou:
Integrative disease classification based on cross-platform microarray data. BMC Bioinform. 10(S-1) (2009) - [c25]Fan Zhang, Jianjun Hu:
Bayesian Classifier for Anchored Protein Sorting Discovery. BIBM 2009: 424-428 - [c24]Jianjun Hu, Fan Zhang:
Improving Protein Localization Prediction Using Amino Acid Group Based Physichemical Encoding. BICoB 2009: 248-258 - [c23]Jianjun Hu, Jia Xu:
Improved Identification of Differentially Expressed Genes Using Pareto Gene Pruning. BIOCOMP 2009: 209-215 - 2008
- [j6]Jianjun Hu, Erik D. Goodman
Automated synthesis of mechanical vibration absorbers using genetic programming. Artif. Intell. Eng. Des. Anal. Manuf. 22(3): 207-217 (2008) - 2007
- [c22]Jing Peng, Dongqing Yang, Changjie Tang, Jing Zhang, Jianjun Hu:
CACS: A Novel Classification Algorithm Based on Concept Similarity. ADMA 2007: 500-507 - [c21]Jianjun Hu, Heqing Guan, Hua Zhong, Tao Huang:
Adaptive Self-Configuration of EJB Server: A Performance Model Approach. ICEBE 2007: 115-122 - [c20]Jianjun Hu, Heqing Guan, Hua Zhong:
A decentralized quickest response algorithm for grid service discovery. Infoscale 2007: 13 - [p1]Jianjun Hu, Shaobo Li
Evolutionary Robust Design of Analog Filters Using Genetic Programming. Evolutionary Computation in Dynamic and Uncertain Environments 2007: 479-496 - 2006
- [j5]Fei Pan, Kiran Kamath, Kangyu Zhang, Sudip Pulapura, Avinash Achar, Juan Nunez-Iglesias
Integrative Array Analyzer: a software package for analysis of cross-platform and cross-species microarray data. Bioinform. 22(13): 1665-1667 (2006) - [j4]Jianjun Hu, Yifeng D. Yang, Daisuke Kihara:
EMD: an ensemble algorithm for discovering regulatory motifs in DNA sequences. BMC Bioinform. 7: 342 (2006) - [j3]Jianjun Hu, Haifeng Li, Michael S. Waterman, Xianghong Jasmine Zhou:
Integrative missing value estimation for microarray data. BMC Bioinform. 7: 449 (2006) - [c19]Jianjun Hu, Heqing Guan, Hua Zhong:
A decentralized service discovery algorithm for grid environment. MGC@Middleware 2006: 19 - 2005
- [j2]Jianjun Hu, Erik D. Goodman
The Hierarchical Fair Competition (HFC) Framework for Sustainable Evolutionary Algorithms. Evol. Comput. 13(2): 241-277 (2005) - [c18]Yunbo Wu, Zhishu Li, Yunhai Wu, Zhihua Chen, Tun Lu, Li Wang, Jianjun Hu:
Analysis of Real-Time Communication System with Queuing Priority. Asia-Pacific Computer Systems Architecture Conference 2005: 707-713 - [c17]An-long Chen, Changjie Tang, Chang-an Yuan, Jing Peng, Jianjun Hu:
Mining Correlations Between Multi-streams Based on Haar Wavelet. ASIAN 2005: 270-271 - [c16]Chuan Li, Changjie Tang, Jing Peng, Jianjun Hu, Yongguang Jiang, Yong Xiaojia:
NNF: An Effective Approach in Medicine Paring Analysis of Traditional Chinese Medicine Prescriptions. DASFAA 2005: 576-581 - [c15]Jianjun Hu, Xiwei Zhong, Erik D. Goodman
Open-ended robust design of analog filters using genetic programming. GECCO 2005: 1619-1626 - [c14]Jianjun Hu, Changjie Tang, Jing Peng, Chuan Li, Chang-an Yuan, An-long Chen:
A Clustering Algorithm Based Absorbing Nearest Neighbors. WAIM 2005: 700-705 - 2004
- [c13]Jianjun Hu, Erik D. Goodman, Ronald C. Rosenberg:
Topological search in automated mechatronic system synthesis using bond graphs and genetic programming. ACC 2004: 5628-5634 - [c12]Jianjun Hu, Erik D. Goodman:
Wireless access point configuration by genetic programming. IEEE Congress on Evolutionary Computation 2004: 1178-1184 - [c11]Zhun Fan, Erik D. Goodman, Jiachuan Wang, Ronald C. Rosenberg, Kisung Seo, Jianjun Hu:
Hierarchical evolutionary synthesis of MEMS. IEEE Congress on Evolutionary Computation 2004: 2320-2327 - [c10]Chuan Li, Changjie Tang, Jing Peng, Jianjun Hu, Lingming Zeng, Xiaoxiong Yin, Yongguang Jiang, Juan Liu:
TCMiner: A High Performance Data Mining System for Multi-dimensional Data Analysis of Traditional Chinese Medicine Prescriptions. ER (Workshops) 2004: 246-257 - [c9]Kisung Seo, Jianjun Hu, Zhun Fan
Hierarchical Breeding Control for Efficient Topology/Parameter Evolution. GECCO (2) 2004: 722-723 - [c8]Jianjun Hu, Erik D. Goodman
Robust and Efficient Genetic Algorithms with Hierarchical Niching and a Sustainable Evolutionary Computation Model. GECCO (1) 2004: 1220-1232 - 2003
- [c7]Jianjun Hu, Kisung Seo, Zhun Fan
HEMO: A Sustainable Multi-objective Evolutionary Optimization Framework. GECCO 2003: 1029-1040 - [c6]Kisung Seo, Zhun Fan
Dense and Switched Modular Primitives for Bond Graph Model Design. GECCO 2003: 1764-1775 - [c5]Zhun Fan
System-Level Synthesis of MEMS via Genetic Programming and Bond Graphs. GECCO 2003: 2058-2071 - 2002
- [j1]Kisung Seo, Jianjun Hu, Zhun Fan, Erik D. Goodman, Ronald C. Rosenberg:
Automated design approaches for multi-domain dynamic systems using bond graphs and genetic programming. Int. J. Comput. Syst. Signals 3(1): 55-70 (2002) - [c4]Jianjun Hu, Erik D. Goodman
The hierarchical fair competition (HFC) model for parallel evolutionary algorithms. IEEE Congress on Evolutionary Computation 2002: 49-54 - [c3]Jianjun Hu, Erik D. Goodman, Kisung Seo, Min Pei:
Adaptive Hierarchical Fair Competition (AHFC) Model For Parallel Evolutionary Algorithms. GECCO 2002: 772-779 - [c2]Jianjun Hu, Kisung Seo, Shaobo Li, Zhun Fan, Ronald C. Rosenberg, Erik D. Goodman:
Structure Fitness Sharing (SFS) For Evolutionary Design By Genetic Programming. GECCO 2002: 780-787 - [c1]Zhun Fan, Kisung Seo, Ronald C. Rosenberg, Jianjun Hu, Erik D. Goodman:
Exploring Multiple Design Topologies Using Genetic Programming And Bond Graphs. GECCO 2002: 1073-1080
Coauthor Index
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