Jianjun Hu

ORCID

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 82

Top Venues

Publications

Sadman Sadeed Omee, Nihang Fu, Rongzhi Dong, Ming Hu, Jianjun Hu
Structure-based out-of-distribution (OOD) materials property prediction: a benchmark study. CoRR (2024)
Yuqi Song, Rongzhi Dong, Lai Wei, Qin Li, Jianjun Hu
AlphaCrystal-II: Distance matrix based crystal structure prediction using deep learning. CoRR (2024)
Sandeep K. Chaudhuri, Qinyang Li, Krishna C. Mandal, Jianjun Hu
Deep Learning-Based Classification of Gamma Photon Interaction in Room-Temperature Semiconductor Radiation Detectors. IEEE Access 12 (2024)
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 (2024)
Jialin Lu, Jing Yang, Shaobo Li, Yijun Li, Wu Jiang, Jiangtian Dai, Jianjun Hu
A2C-DRL: Dynamic Scheduling for Stochastic Edge-Cloud Environments Using A2C and Deep Reinforcement Learning. IEEE Internet Things J. 11 (9) (2024)
Shujie Ding, Xiaoli Ruan, Jing Yang, Jie Sun, Shaobo Li, Jianjun Hu
LSSMA: Lightweight Spectral-Spatial Neural Architecture With Multiattention Feature Extraction for Hyperspectral Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17 (2024)
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 (2024)
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) (2024)
Rongzhi Dong, Yuqi Song, Edirisuriya M. Dilanga Siriwardane, Jianjun Hu
Discovery of 2D materials using Transformer Network based Generative Design. CoRR (2023)
Qin Li, Nihang Fu, Sadman Sadeed Omee, Jianjun Hu
MD-HIT: Machine learning for materials property prediction with dataset redundancy control. CoRR (2023)
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 (2023)
Rongzhi Dong, Yuqi Song, Edirisuriya M. Dilanga Siriwardane, Jianjun Hu
Discovery of 2D Materials using Transformer Network-Based Generative Design. Adv. Intell. Syst. 5 (12) (2023)
Qinyang Li, Rongzhi Dong, Nihang Fu, Sadman Sadeed Omee, Lai Wei, Jianjun Hu
Global Mapping of Structures and Properties of Crystal Materials. J. Chem. Inf. Model. 63 (12) (2023)
Nihang Fu, Lai Wei, Yuqi Song, Qinyang Li, Rui Xin, Sadman Sadeed Omee, Rongzhi Dong, Edirisuriya M. Dilanga Siriwardane, Jianjun Hu
Material transformers: deep learning language models for generative materials design. Mach. Learn. Sci. Technol. 4 (1) (2023)
Mingbao Yang, Peng Zhou, Shaobo Li, Yuanmeng Zhang, Jianjun Hu, Ansi Zhang
Multi-Head multimodal deep interest recommendation network. Knowl. Based Syst. 276 (2023)
Jing Yang, Jie Sun, Yaping Ren, Shaobo Li, Shujie Ding, Jianjun Hu
GACP: graph neural networks with ARMA filters and a parallel CNN for hyperspectral image classification. Int. J. Digit. Earth 16 (1) (2023)
Rongzhi Dong, Nihang Fu, Dirisuriya M. D. Siriwardane, Jianjun Hu
Generative Design of inorganic compounds using deep diffusion language models. CoRR (2023)
Sadman Sadeed Omee, Lai Wei, Jianjun Hu
Crystal structure prediction using neural network potential and age-fitness Pareto genetic algorithm. CoRR (2023)
Lai Wei, Nihang Fu, Yuqi Song, Qian Wang, Jianjun Hu
Probabilistic generative transformer language models for generative design of molecules. J. Cheminformatics 15 (1) (2023)
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. Neurocomputing 494 (2022)
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 (2022)
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 (2022)
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. Patterns 3 (5) (2022)
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 (2022)
Zhonghao Liu, Jing Jin, Yuxin Cui, Zheng Xiong, Alireza Nasiri, Yong Zhao, Jianjun Hu
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) (2022)
Feng Xiao, Jianjun Hu, Meixia Jia, Pengxing Zhu, Chenghao Deng
A novel integrated control framework of AFS, ASS, and DYC based on ideal roll angle to improve vehicle stability. Adv. Eng. Informatics 54 (2022)
Daniel Varivoda, Rongzhi Dong, Sadman Sadeed Omee, Jianjun Hu
Materials Property Prediction with Uncertainty Quantification: A Benchmark Study. CoRR (2022)
Jianjun Hu, Dianzhao Yang, Zhicheng Sun
Torque Fluctuation Suppression Strategy of Integrated Electric Drive System Based on the Principle of Minimization of Instantaneous Current Tracking Error. IEEE Access 10 (2022)
Andrew Eldridge, Alejandro Rodriguez, Ming Hu, Jianjun Hu
Genetic programming-based learning of carbon interatomic potential for materials discovery. CoRR (2022)
Lai Wei, Nihang Fu, Yuqi Song, Qian Wang, Jianjun Hu
Probabilistic Generative Transformer Language models for Generative Design of Molecules. CoRR (2022)
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 (2022)
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 (2021)
Alireza Nasiri, Jianjun Hu
SoundCLR: Contrastive Learning of Representations For Improved Environmental Sound Classification. CoRR (2021)
Daniel Gleaves, Edirisuriya M. Dilanga Siriwardane, Yong Zhao, Nihang Fu, Jianjun Hu
Semi-supervised teacher-student deep neural network for materials discovery. CoRR (2021)
Yong Zhao, Edirisuriya M. Dilanga Siriwardane, Jianjun Hu
Physics guided deep learning generative models for crystal materials discovery. CoRR (2021)
Hongjing Wei, Shaobo Li, Huafeng Quan, Dacheng Liu, Shu Rao, Chuanjiang Li, Jianjun Hu
Unified Multi-Objective Genetic Algorithm for Energy Efficient Job Shop Scheduling. IEEE Access 9 (2021)
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 (2021)
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 (2021)
Qisong Song, Shaobo Li, Jing Yang, Qiang Bai, Jianjun Hu, Xingxing Zhang, Ansi Zhang
Intelligent Optimization Algorithm-Based Path Planning for a Mobile Robot. Comput. Intell. Neurosci. 2021 (2021)
Huafeng Quan, Shaobo Li, Changchang Zeng, Hongjing Wei, Jianjun Hu
Big Data driven Product Design: A Survey. CoRR (2021)
Chuanjiang Li, Shaobo Li, Ansi Zhang, Qiang He, Zihao Liao, Jianjun Hu
Meta-learning for few-shot bearing fault diagnosis under complex working conditions. Neurocomputing 439 (2021)
Wenhui Yang, Edirisuriya M. Dilanga Siriwardane, Rongzhi Dong, Yuxin Li, Jianjun Hu
Crystal structure prediction of materials with high symmetry using differential evolution. CoRR (2021)
Na Cui, Jianjun Hu, Feng Liang
Complementary dimension reduction. Stat. Anal. Data Min. 14 (1) (2021)
Meixia Jia, Jianjun Hu, Haitao Liu
Analysis and formulation of general running cycle of light vehicles. AIAM (ACM) (2021)
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)
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 (2021)
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 (2021)
Jianjun Hu, Mengjing Yu, Qingzhen Xu, Jing Gao
Classifiers Protected against Attacks by Fusion of Multi-Branch Perturbed GAN. Mob. Networks Appl. 25 (6) (2020)
Yuqi Song, Edirisuriya M. Dilanga Siriwardane, Yong Zhao, Jianjun Hu
Computational discovery of new 2D materials using deep learning generative models. CoRR (2020)
Yabo Dan, Rongzhi Dong, Zhuo Cao, Xiang Li, Chengcheng Niu, Shaobo Li, Jianjun Hu
Computational Prediction of Critical Temperatures of Superconductors Based on Convolutional Gradient Boosting Decision Trees. IEEE Access 8 (2020)
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 (2020)
Shaobo Li, Wanli Yang, Ansi Zhang, Huibin Liu, Jinyuan Huang, Chuanjiang Li, Jianjun Hu
A Novel Method of Bearing Fault Diagnosis in Time-Frequency Graphs Using InceptionResnet and Deformable Convolution Networks. IEEE Access 8 (2020)
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 (2020)
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 (2020)
Chengchang Zeng, Shaobo Li, Qin Li, Jie Hu, Jianjun Hu
A Survey on Machine Reading Comprehension: Tasks, Evaluation Metrics, and Benchmark Datasets. CoRR (2020)
Shaobo Li, Yabo Dan, Xiang Li, Tiantian Hu, Rongzhi Dong, Zhuo Cao, Jianjun Hu
Critical Temperature Prediction of Superconductors Based on Atomic Vectors and Deep Learning. Symmetry 12 (2) (2020)
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 (2020)
Yin Hong, Yanxia Liu, Suizhu Yang, Kaiwen Zhang, Aiqing Wen, Jianjun Hu
Improving Graph Convolutional Networks Based on Relation-Aware Attention for End-to-End Relation Extraction. IEEE Access 8 (2020)
Jianjun Hu, Junlong Tao, Feng Xiao, Xiyuan Niu, Chunyun Fu
An Optimal Torque Distribution Control Strategy for Four-Wheel Independent Drive Electric Vehicles Considering Energy Economy. IEEE Access 7 (2019)
Guiying Zhang, Yuxin Cui, Yong Zhao, Jianjun Hu
ComplexFace: a Multi-Representation Approach for Image Classification with Small Dataset. CoRR (2019)
Alireza Nasiri, Yuxin Cui, Zhonghao Liu, Jing Jin, Yong Zhao, Jianjun Hu
AudioMask: Robust Sound Event Detection Using Mask R-CNN and Frame-Level Classifier. ICTAI (2019)
Sen Zhang, Yong Yao, Jie Hu, Yong Zhao, Shaobo Li, Jianjun Hu
Deep Autoencoder Neural Networks for Short-Term Traffic Congestion Prediction of Transportation Networks. Sensors 19 (10) (2019)
Jianjun Hu, Tao Peng, Meixia Jia, Ying Yang, Yongjie Guan
Study on Electromechanical Coupling Characteristics of an Integrated Electric Drive System for Electric Vehicle. IEEE Access 7 (2019)
Alireza Nasiri, Jingjing Bao, Donald Mccleeary, Steph-Yves M. Louis, Xinyu Huang, Jianjun Hu
Composite Materials Using Acoustic Emission and Deep Learning. IEEE Access 7 (2019)
Ansi Zhang, Shaobo Li, Yuxin Cui, Wanli Yang, Rongzhi Dong, Jianjun Hu
Limited Data Rolling Bearing Fault Diagnosis With Few-Shot Learning. IEEE Access 7 (2019)
Yuxin Cui, Jingru Zhang, Zhenyu He, Jianjun Hu
Multiple pedestrian tracking by combining particle filter and network flow model. Neurocomputing 351 (2019)
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) (2019)
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 (2019)
Huafeng Quan, Shaobo Li, Hongjing Wei, Jianjun Hu
Personalized Product Evaluation Based on GRA-TOPSIS and Kansei Engineering. Symmetry 11 (7) (2019)
Jie Hu, Shaobo Li, Yong Yao, Liya Yu, Guanci Yang, Jianjun Hu
Patent Keyword Extraction Algorithm Based on Distributed Representation for Patent Classification. Entropy 20 (2) (2018)
Shaohua Luo, Shaobo Li, Farid Tajaddodianfar, Jianjun Hu
Anti-oscillation and chaos control of the fractional-order brushless DC motor system via adaptive echo state networks. J. Frankl. Inst. 355 (14) (2018)
Shaobo Li, Jie Hu, Yuxin Cui, Jianjun Hu
DeepPatent: patent classification with convolutional neural networks and word embedding. Scientometrics 117 (2) (2018)
Yuansheng Huang, Jianjun Hu, Yaqian Cai, Lei Yang
Coupling PSO-GPR Based Medium and Long Term Load Forecasting in Beijing. BIC-TA (1) (2018)
Weiyang Lin, Xinyang Ren, Jianjun Hu, Yuzhe He, Zhan Li, Mingsi Tong
Fast, robust and accurate posture detection algorithm based on Kalman filter and SSD for AGV. Neurocomputing 316 (2018)
Shaobo Li, Wang Zou, Jianjun Hu
A Novel Evolutionary Algorithm for Designing Robust Analog Filters. Algorithms 11 (3) (2018)
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 (2018)
Yong Liu, Wang Chen, Jianjun Hu, Xiaojun Zheng, Yanjun Shi
Ensemble of surrogates with an evolutionary multi-agent system. CSCWD (2017)
Lishu Qin, Jianjun Hu, Hongxing Li, Wang Chen
Fuzzy Logic Controllers for Specialty Vehicles Using a Combination of Phase Plane Analysis and Variable Universe Approach. IEEE Access 5 (2017)
Xuemei Yao, Shaobo Li, Jianjun Hu
Improving Rolling Bearing Fault Diagnosis by DS Evidence Theory Based Fusion Model. J. Sensors 2017 (2017)
Shaobo Li, Guokai Liu, Xianghong Tang, Jianguang Lu, Jianjun Hu
An Ensemble Deep Convolutional Neural Network Model with Improved D-S Evidence Fusion for Bearing Fault Diagnosis. Sensors 17 (8) (2017)
Yuxin Cui, Jianjun Hu
Self-adjusting nuclei segmentation (SANS) of Hematoxylin-Eosin stained histopathological breast cancer images. BIBM (2016)
Zhonghao Liu, Jianjun Hu
Geometry based general prediction model of protein-peptide binding affinities. BIBM (2016)
Emrah Atilgan, Jianjun Hu
A Combinatorial Genetic Algorithm for Computational Doping based Material Design. GECCO (Companion) (2015)
Ananda Mondal, Jianjun Hu
Network based prediction of protein localisation using diffusion Kernel. Int. J. Data Min. Bioinform. 9 (4) (2014)
Ananda Mohan Mondal, Jianjun Hu
Scored Protein-Protein Interaction to Predict Subcellular Localizations for Yeast Using Diffusion Kernel. PReMI (2013)
Jhih-rong Lin, Jianjun Hu
Nuclear localization signal prediction based on sequential pattern mining. BCB (2012)
Ananda Mohan Mondal, Jianjun Hu
Mutation analysis of disease causing proteins. BIBM Workshops (2012)
Jhih-rong Lin, Ananda Mondal, Rong Liu, Jianjun Hu
Minimalist ensemble algorithms for genome-wide protein localization prediction. BMC Bioinform. 13 (2012)
Rong Liu, Jianjun Hu
HemeBIND: a novel method for heme binding residue prediction by combining structural and sequence information. BMC Bioinform. 12 (2011)
M. Mondal Ananda, Jhih-rong Lin, Jianjun Hu
Network based subcellular localization prediction for multi-label proteins. BIBM Workshops (2011)
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)
Emrah Atilgan, Jianjun Hu
Efficient protein-ligand docking using sustainable evolutionary algorithms. HIS (2010)
M. Mondal Ananda, Jianjun Hu
NetLoc: Network based protein localization prediction using protein-protein interaction and co-expression networks. BIBM (2010)
Emrah Atilgan, Jianjun Hu
Efficient protein-ligand docking using sustainable evolutionary algorithm. GECCO (2010)
Fan Zhang, Jianjun Hu
Bioinformatics Analysis of Physichemical Properties of Protein Sorting Signals. BICoB (2010)
Jianjun Hu, Fan Zhang
BayesMotif: de novo protein sorting motif discovery from impure datasets. BMC Bioinform. 11 (S-1) (2010)
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)
Fan Zhang, Jianjun Hu
Bayesian Classifier for Anchored Protein Sorting Discovery. BIBM (2009)
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) (2009)
Jianjun Hu, Jia Xu
Improved Identification of Differentially Expressed Genes Using Pareto Gene Pruning. BIOCOMP (2009)

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Publication Activity (10 Years)

Top Topics

Top Venues

Jianjun Hu