The hierarchical fair competition (HFC) model for parallel evolutionary algorithms. - Jianjun Hu; Erik D. Goodman (IEEE Congress on Evolutionary Computation, 2002)

Exploring Multiple Design Topologies Using Genetic Programming And Bond Graphs. - Zhun Fan; Kisung Seo; Ronald C. Rosenberg; Jianjun Hu; Erik D. Goodman (GECCO, 2002)

Adaptive Hierarchical Fair Competition (AHFC) Model For Parallel Evolutionary Algorithms. - Jianjun Hu; Erik D. Goodman; Kisung Seo; Min Pei (GECCO, 2002)

Structure Fitness Sharing (SFS) For Evolutionary Design By Genetic Programming. - Jianjun Hu; Kisung Seo; Shaobo Li 001; Zhun Fan; Ronald C. Rosenberg; Erik D. Goodman (GECCO, 2002)

Automated design approaches for multi-domain dynamic systems using bond graphs and genetic programming. - Kisung Seo; Jianjun Hu; Zhun Fan; Erik D. Goodman; Ronald C. Rosenberg (Int. J. Comput. Syst. Signals, 2002)

System-Level Synthesis of MEMS via Genetic Programming and Bond Graphs. - Zhun Fan; Kisung Seo; Jianjun Hu; Ronald C. Rosenberg; Erik D. Goodman (GECCO, 2003)

HEMO: A Sustainable Multi-objective Evolutionary Optimization Framework. - Jianjun Hu; Kisung Seo; Zhun Fan; Ronald C. Rosenberg; Erik D. Goodman (GECCO, 2003)

Dense and Switched Modular Primitives for Bond Graph Model Design. - Kisung Seo; Zhun Fan; Jianjun Hu; Erik D. Goodman; Ronald C. Rosenberg (GECCO, 2003)

Topological search in automated mechatronic system synthesis using bond graphs and genetic programming. - Jianjun Hu; Erik D. Goodman; Ronald C. Rosenberg (ACC, 2004)

Hierarchical evolutionary synthesis of MEMS. - Zhun Fan; Erik D. Goodman; Jiachuan Wang; Ronald C. Rosenberg; Kisung Seo; Jianjun Hu (IEEE Congress on Evolutionary Computation, 2004)

Wireless access point configuration by genetic programming. - Jianjun Hu; Erik D. Goodman (IEEE Congress on Evolutionary Computation, 2004)

TCMiner: A High Performance Data Mining System for Multi-dimensional Data Analysis of Traditional Chinese Medicine Prescriptions. - Chuan Li 002; Changjie Tang; Jing Peng; Jianjun Hu; Lingming Zeng; Xiaoxiong Yin; Yongguang Jiang; Juan Liu (ER (Workshops), 2004)

Robust and Efficient Genetic Algorithms with Hierarchical Niching and a Sustainable Evolutionary Computation Model. - Jianjun Hu; Erik D. Goodman (GECCO (1), 2004)

Hierarchical Breeding Control for Efficient Topology/Parameter Evolution. - Kisung Seo; Jianjun Hu; Zhun Fan; Erik D. Goodman; Ronald C. Rosenberg (GECCO (2), 2004)

Analysis of Real-Time Communication System with Queuing Priority. - Yunbo Wu; Zhishu Li; Yunhai Wu; Zhihua Chen; Tun Lu; Li Wang 010; Jianjun Hu (Asia-Pacific Computer Systems Architecture Conference, 2005)

Mining Correlations Between Multi-streams Based on Haar Wavelet. - An-long Chen; Changjie Tang; Chang-an Yuan 001; Jing Peng; Jianjun Hu (ASIAN, 2005)

NNF: An Effective Approach in Medicine Paring Analysis of Traditional Chinese Medicine Prescriptions. - Chuan Li 002; Changjie Tang; Jing Peng; Jianjun Hu; Yongguang Jiang; Yong Xiaojia (DASFAA, 2005)

Open-ended robust design of analog filters using genetic programming. - Jianjun Hu; Xiwei Zhong; Erik D. Goodman (GECCO, 2005)

A Clustering Algorithm Based Absorbing Nearest Neighbors. - Jianjun Hu; Changjie Tang; Jing Peng; Chuan Li 002; Chang-an Yuan 001; An-long Chen (WAIM, 2005)

The Hierarchical Fair Competition (HFC) Framework for Sustainable Evolutionary Algorithms. - Jianjun Hu; Erik D. Goodman; Kisung Seo; Zhun Fan; Rondal Rosenberg (Evol. Comput., 2005)

A decentralized service discovery algorithm for grid environment. - Jianjun Hu; Heqing Guan; Hua Zhong (MGC@Middleware, 2006)

Integrative Array Analyzer: a software package for analysis of cross-platform and cross-species microarray data. - Fei Pan; Kiran Kamath; Kangyu Zhang; Sudip Pulapura; Avinash Achar; Juan Nunez-Iglesias; Yu Huang 003; Xifeng Yan; Jiawei Han 001; Haiyan Hu; Min Xu; Jianjun Hu; et al. (Bioinform., 2006)

Integrative missing value estimation for microarray data. - Jianjun Hu; Haifeng Li; Michael S. Waterman; Xianghong Jasmine Zhou (BMC Bioinform., 2006)

EMD: an ensemble algorithm for discovering regulatory motifs in DNA sequences. - Jianjun Hu; Yifeng D. Yang; Daisuke Kihara (BMC Bioinform., 2006)

CACS: A Novel Classification Algorithm Based on Concept Similarity. - Jing Peng; Dongqing Yang; Changjie Tang; Jing Zhang; Jianjun Hu (ADMA, 2007)

Adaptive Self-Configuration of EJB Server: A Performance Model Approach. - Jianjun Hu; Heqing Guan; Hua Zhong; Tao Huang 001 (ICEBE, 2007)

A decentralized quickest response algorithm for grid service discovery. - Jianjun Hu; Heqing Guan; Hua Zhong 007 (Infoscale, 2007)

Evolutionary Robust Design of Analog Filters Using Genetic Programming. - Jianjun Hu; Shaobo Li 001; Erik D. Goodman (Evolutionary Computation in Dynamic and Uncertain Environments, 2007)

Automated synthesis of mechanical vibration absorbers using genetic programming. - Jianjun Hu; Erik D. Goodman; Shaobo Li 001; Ronald C. Rosenberg (Artif. Intell. Eng. Des. Anal. Manuf., 2008)

Bayesian Classifier for Anchored Protein Sorting Discovery. - Fan Zhang; Jianjun Hu (BIBM, 2009)

Improving Protein Localization Prediction Using Amino Acid Group Based Physichemical Encoding. - Jianjun Hu; Fan Zhang (BICoB, 2009)

Improved Identification of Differentially Expressed Genes Using Pareto Gene Pruning. - Jianjun Hu; Jia Xu (BIOCOMP, 2009)

Similarity computing model of high dimension data for symptom classification of Chinese traditional medicine. - Jing Peng; Chang-jie Tang; Dongqing Yang; Jing Zhang; Jianjun Hu (Appl. Soft Comput., 2009)

Integrative disease classification based on cross-platform microarray data. - Chun-Chi Liu; Jianjun Hu; Mrinal Kalakrishnan; Haiyan Huang; Xianghong Jasmine Zhou (BMC Bioinform., 2009)

NetLoc: Network based protein localization prediction using protein-protein interaction and co-expression networks. - M. Mondal Ananda; Jianjun Hu (BIBM, 2010)

Bioinformatics Analysis of Physichemical Properties of Protein Sorting Signals. - Fan Zhang; Jianjun Hu (BICoB, 2010)

Efficient protein-ligand docking using sustainable evolutionary algorithm. - Emrah Atilgan; Jianjun Hu (GECCO, 2010)

Efficient protein-ligand docking using sustainable evolutionary algorithms. - Emrah Atilgan; Jianjun Hu (HIS, 2010)

BayesMotif: de novo protein sorting motif discovery from impure datasets. - Jianjun Hu; Fan Zhang (BMC Bioinform., 2010)

Network based subcellular localization prediction for multi-label proteins. - M. Mondal Ananda; Jhih-rong Lin; Jianjun Hu (BIBM Workshops, 2011)

Study on distributions of fatigue crack-nucleating particle sizes and cracks formation in aluminum alloy. - Yueliang Chen; Guixue Bian; Lin Yi; Jianjun Hu (ISI, 2011)

HemeBIND: a novel method for heme binding residue prediction by combining structural and sequence information. - Rong Liu; Jianjun Hu (BMC Bioinform., 2011)

Nuclear localization signal prediction based on sequential pattern mining. - Jhih-rong Lin; Jianjun Hu (BCB, 2012)

Mutation analysis of disease causing proteins. - Ananda Mohan Mondal; Jianjun Hu (BIBM Workshops, 2012)

Minimalist ensemble algorithms for genome-wide protein localization prediction. - Jhih-rong Lin; Ananda Mondal; Rong Liu; Jianjun Hu (BMC Bioinform., 2012)

Scored Protein-Protein Interaction to Predict Subcellular Localizations for Yeast Using Diffusion Kernel. - Ananda Mohan Mondal; Jianjun Hu (PReMI, 2013)

Network based prediction of protein localisation using diffusion Kernel. - Ananda Mondal; Jianjun Hu (Int. J. Data Min. Bioinform., 2014)

A Combinatorial Genetic Algorithm for Computational Doping based Material Design. - Emrah Atilgan; Jianjun Hu (GECCO (Companion), 2015)

Self-adjusting nuclei segmentation (SANS) of Hematoxylin-Eosin stained histopathological breast cancer images. - Yuxin Cui; Jianjun Hu (BIBM, 2016)

Geometry based general prediction model of protein-peptide binding affinities. - Zhonghao Liu; Jianjun Hu (BIBM, 2016)

Ensemble of surrogates with an evolutionary multi-agent system. - Yong Liu; Wang Chen; Jianjun Hu; Xiaojun Zheng; Yanjun Shi (CSCWD, 2017)

Fuzzy Logic Controllers for Specialty Vehicles Using a Combination of Phase Plane Analysis and Variable Universe Approach. - Lishu Qin; Jianjun Hu; Hongxing Li 004; Wang Chen (IEEE Access, 2017)

Improving Rolling Bearing Fault Diagnosis by DS Evidence Theory Based Fusion Model. - Xuemei Yao; Shaobo Li 001; Jianjun Hu (J. Sensors, 2017)

An Ensemble Deep Convolutional Neural Network Model with Improved D-S Evidence Fusion for Bearing Fault Diagnosis. - Shaobo Li 001; Guokai Liu; Xianghong Tang; Jianguang Lu; Jianjun Hu (Sensors, 2017)

Coupling PSO-GPR Based Medium and Long Term Load Forecasting in Beijing. - Yuansheng Huang; Jianjun Hu; Yaqian Cai; Lei Yang (BIC-TA (1), 2018)

A Novel Evolutionary Algorithm for Designing Robust Analog Filters. - Shaobo Li 001; Wang Zou; Jianjun Hu (Algorithms, 2018)

A Deep Learning Algorithm for One-step Contour Aware Nuclei Segmentation of Histopathological Images. - Yuxin Cui; Guiying Zhang; Zhonghao Liu; Zheng Xiong; Jianjun Hu (CoRR, 2018)

Patent Keyword Extraction Algorithm Based on Distributed Representation for Patent Classification. - Jie Hu 016; Shaobo Li 001; Yong Yao 003; Liya Yu; Guanci Yang; Jianjun Hu (Entropy, 2018)

Fast, robust and accurate posture detection algorithm based on Kalman filter and SSD for AGV. - Weiyang Lin; Xinyang Ren; Jianjun Hu; Yuzhe He; Zhan Li 003; Mingsi Tong (Neurocomputing, 2018)

Anti-oscillation and chaos control of the fractional-order brushless DC motor system via adaptive echo state networks. - Shaohua Luo; Shaobo Li 001; Farid Tajaddodianfar; Jianjun Hu (J. Frankl. Inst., 2018)

DeepPatent: patent classification with convolutional neural networks and word embedding. - Shaobo Li 001; Jie Hu 016; Yuxin Cui; Jianjun Hu (Scientometrics, 2018)

AudioMask: Robust Sound Event Detection Using Mask R-CNN and Frame-Level Classifier. - Alireza Nasiri; Yuxin Cui; Zhonghao Liu; Jing Jin; Yong Zhao 014; Jianjun Hu (ICTAI, 2019)

Study on Electromechanical Coupling Characteristics of an Integrated Electric Drive System for Electric Vehicle. - Jianjun Hu; Tao Peng; Meixia Jia; Ying Yang 013; Yongjie Guan (IEEE Access, 2019)

An Optimal Torque Distribution Control Strategy for Four-Wheel Independent Drive Electric Vehicles Considering Energy Economy. - Jianjun Hu; Junlong Tao; Feng Xiao; Xiyuan Niu; Chunyun Fu (IEEE Access, 2019)

Online Damage Monitoring of SiCf-SiCm Composite Materials Using Acoustic Emission and Deep Learning. - Alireza Nasiri; Jingjing Bao; Donald Mccleeary; Steph-Yves M. Louis; Xinyu Huang; Jianjun Hu (IEEE Access, 2019)

Limited Data Rolling Bearing Fault Diagnosis With Few-Shot Learning. - Ansi Zhang; Shaobo Li 001; Yuxin Cui; Wanli Yang; Rongzhi Dong; Jianjun Hu (IEEE Access, 2019)

ComplexFace: a Multi-Representation Approach for Image Classification with Small Dataset. - Guiying Zhang; Yuxin Cui; Yong Zhao 010; Jianjun Hu (CoRR, 2019)

Generative adversarial networks (GAN) based efficient sampling of chemical space for inverse design of inorganic materials. - Yabo Dan; Yong Zhao 014; Xiang Li 053; Shaobo Li 001; Ming Hu; Jianjun Hu (CoRR, 2019)

Multiple pedestrian tracking by combining particle filter and network flow model. - Yuxin Cui; Jingru Zhang; Zhenyu He 001; Jianjun Hu (Neurocomputing, 2019)

A deep learning algorithm for one-step contour aware nuclei segmentation of histopathology images. - Yuxin Cui; Guiying Zhang; Zhonghao Liu; Zheng Xiong; Jianjun Hu (Medical Biol. Eng. Comput., 2019)

Deep Autoencoder Neural Networks for Short-Term Traffic Congestion Prediction of Transportation Networks. - Sen Zhang 003; Yong Yao 003; Jie Hu 016; Yong Zhao 014; Shaobo Li 001; Jianjun Hu (Sensors, 2019)

Personalized Product Evaluation Based on GRA-TOPSIS and Kansei Engineering. - Huafeng Quan; Shaobo Li 001; Hongjing Wei; Jianjun Hu (Symmetry, 2019)

Computational Prediction of Critical Temperatures of Superconductors Based on Convolutional Gradient Boosting Decision Trees. - Yabo Dan; Rongzhi Dong; Zhuo Cao 001; Xiang Li 053; Chengcheng Niu; Shaobo Li 001; Jianjun Hu (IEEE Access, 2020)

Improving Graph Convolutional Networks Based on Relation-Aware Attention for End-to-End Relation Extraction. - Yin Hong; Yanxia Liu; Suizhu Yang; Kaiwen Zhang 004; Aiqing Wen; Jianjun Hu (IEEE Access, 2020)

A Novel Method of Bearing Fault Diagnosis in Time-Frequency Graphs Using InceptionResnet and Deformable Convolution Networks. - Shaobo Li 001; Wanli Yang; Ansi Zhang; Huibin Liu; Jinyuan Huang; Chuanjiang Li; Jianjun Hu (IEEE Access, 2020)

Machine Learning based prediction of noncentrosymmetric crystal materials. - Yuqi Song; Joseph Lindsay; Yong Zhao 014; Alireza Nasiri; Steph-Yves M. Louis; Jie Ling; Ming Hu; Jianjun Hu (CoRR, 2020)

Global Attention based Graph Convolutional Neural Networks for Improved Materials Property Prediction. - Steph-Yves M. Louis; Yong Zhao 014; Alireza Nasiri; Xiran Wong; Yuqi Song; Fei Liu; Jianjun Hu (CoRR, 2020)

Predicting Elastic Properties of Materials from Electronic Charge Density Using 3D Deep Convolutional Neural Networks. - Yong Zhao 014; Kunpeng Yuan; Yinqiao Liu; Steph-Yves M. Louis; Ming Hu; Jianjun Hu (CoRR, 2020)

A Survey on Machine Reading Comprehension: Tasks, Evaluation Metrics, and Benchmark Datasets. - Chengchang Zeng; Shaobo Li 001; Qin Li; Jie Hu 016; Jianjun Hu (CoRR, 2020)

Computational discovery of new 2D materials using deep learning generative models. - Yuqi Song; Edirisuriya M. Dilanga Siriwardane; Yong Zhao 014; Jianjun Hu (CoRR, 2020)

Joint extraction of entities and relations using graph convolution over pruned dependency trees. - Yin Hong; Yanxia Liu; Suizhu Yang; Kaiwen Zhang 004; Jianjun Hu (Neurocomputing, 2020)

Classifiers Protected against Attacks by Fusion of Multi-Branch Perturbed GAN. - Jianjun Hu; Mengjing Yu; Qingzhen Xu; Jing Gao (Mob. Networks Appl., 2020)

Critical Temperature Prediction of Superconductors Based on Atomic Vectors and Deep Learning. - Shaobo Li 001; Yabo Dan; Xiang Li 053; Tiantian Hu; Rongzhi Dong; Zhuo Cao 001; Jianjun Hu (Symmetry, 2020)

Analysis and formulation of general running cycle of light vehicles. - Meixia Jia; Jianjun Hu; Haitao Liu (AIAM (ACM), 2021)

Towards Automated GUI Design of Display Control Systems Based on SysML and Ontologies. - Jin Su; Jianjun Hu; Yue Cao; Yusheng Liu; Wang Chen; Chao Wang (CSDM Asia / CSDM, 2021)

Unified Multi-Objective Genetic Algorithm for Energy Efficient Job Shop Scheduling. - Hongjing Wei; Shaobo Li 001; Huafeng Quan; Dacheng Liu; Shu Rao; Chuanjiang Li; Jianjun Hu (IEEE Access, 2021)

Intelligent Optimization Algorithm-Based Path Planning for a Mobile Robot. - Qisong Song; Shaobo Li 001; Jing Yang 017; Qiang Bai; Jianjun Hu; Xingxing Zhang 003; Ansi Zhang (Comput. Intell. Neurosci., 2021)

Active learning based generative design for the discovery of wide bandgap materials. - Rui Xin; Edirisuriya M. Dilanga Siriwardane; Yuqi Song; Yong Zhao 014; Steph-Yves M. Louis; Alireza Nasiri; Jianjun Hu (CoRR, 2021)

SoundCLR: Contrastive Learning of Representations For Improved Environmental Sound Classification. - Alireza Nasiri; Jianjun Hu (CoRR, 2021)

Crystal structure prediction of materials with high symmetry using differential evolution. - Wenhui Yang; Edirisuriya M. Dilanga Siriwardane; Rongzhi Dong; Yuxin Li; Jianjun Hu (CoRR, 2021)

MaterialsAtlas.org: A Materials Informatics Web App Platform for Materials Discovery and Survey of State-of-the-Art. - Jianjun Hu; Stanislav Stefanov; Yuqi Song; Sadman Sadeed Omee; Steph-Yves M. Louis; Edirisuriya M. Dilanga Siriwardane; Yong Zhao 014 (CoRR, 2021)

Big Data driven Product Design: A Survey. - Huafeng Quan; Shaobo Li 001; Changchang Zeng; Hongjing Wei; Jianjun Hu (CoRR, 2021)

Predicting Lattice Phonon Vibrational Frequencies Using Deep Graph Neural Networks. - Nghia Nguyen; Steph-Yves M. Louis; Lai Wei 008; Kamal Choudhary; Ming Hu; Jianjun Hu (CoRR, 2021)

Physics guided deep learning generative models for crystal materials discovery. - Yong Zhao 014; Edirisuriya M. Dilanga Siriwardane; Jianjun Hu (CoRR, 2021)

Semi-supervised teacher-student deep neural network for materials discovery. - Daniel Gleaves; Edirisuriya M. Dilanga Siriwardane; Yong Zhao 014; Nihang Fu; Jianjun Hu (CoRR, 2021)

Meta-learning for few-shot bearing fault diagnosis under complex working conditions. - Chuanjiang Li; Shaobo Li 001; Ansi Zhang; Qiang He; Zihao Liao; Jianjun Hu (Neurocomputing, 2021)

Complementary dimension reduction. - Na Cui; Jianjun Hu; Feng Liang 002 (Stat. Anal. Data Min., 2021)

Torque Fluctuation Suppression Strategy of Integrated Electric Drive System Based on the Principle of Minimization of Instantaneous Current Tracking Error. - Jianjun Hu; Dianzhao Yang; Zhicheng Sun 002 (IEEE Access, 2022)

A novel integrated control framework of AFS, ASS, and DYC based on ideal roll angle to improve vehicle stability. - Feng Xiao; Jianjun Hu; Meixia Jia; Pengxing Zhu; Chenghao Deng (Adv. Eng. Informatics, 2022)

Physics Guided Generative Adversarial Networks for Generations of Crystal Materials with Symmetry Constraints. - Yong Zhao 014; Edirisuriya M. Dilanga Siriwardane; Zhenyao Wu; Ming Hu; Nihang Fu; Jianjun Hu (CoRR, 2022)

Genetic programming-based learning of carbon interatomic potential for materials discovery. - Andrew Eldridge; Alejandro Rodriguez; Ming Hu; Jianjun Hu (CoRR, 2022)

Crystal Transformer: Self-learning neural language model for Generative and Tinkering Design of Materials. - Lai Wei 008; Qinyang Li; Yuqi Song; Stanislav Stefanov; Edirisuriya M. Dilanga Siriwardane; Fanglin Chen; Jianjun Hu (CoRR, 2022)

Materials Transformers Language Models for Generative Materials Design: a benchmark study. - Nihang Fu; Lai Wei 008; Yuqi Song; Qinyang Li; Rui Xin; Sadman Sadeed Omee; Rongzhi Dong; Edirisuriya M. Dilanga Siriwardane; Jianjun Hu (CoRR, 2022)

Materials Property Prediction with Uncertainty Quantification: A Benchmark Study. - Daniel Varivoda; Rongzhi Dong; Sadman Sadeed Omee; Jianjun Hu (CoRR, 2022)

Composition based oxidation state prediction of materials using deep learning. - Nihang Fu; Jeffrey Hu; Ying Feng; Gregory Morrison; Hans-Conrad zur Loye; Jianjun Hu (CoRR, 2022)

NODE-SELECT: A graph neural network based on a selective propagation technique. - Steph-Yves M. Louis; Alireza Nasiri; Fatima J. Rolland; Cameron Mitro; Jianjun Hu (Neurocomputing, 2022)

Scalable deeper graph neural networks for high-performance materials property prediction. - Sadman Sadeed Omee; Steph-Yves M. Louis; Nihang Fu; Lai Wei 008; Sourin Dey; Rongzhi Dong; Qinyang Li; Jianjun Hu (Patterns, 2022)

DeepSeqPanII: An Interpretable Recurrent Neural Network Model With Attention Mechanism for Peptide-HLA Class II Binding Prediction. - Zhonghao Liu; Jing Jin; Yuxin Cui; Zheng Xiong; Alireza Nasiri; Yong Zhao 014; Jianjun Hu (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

MD-HIT: Machine learning for materials property prediction with dataset redundancy control. - Qin Li; Nihang Fu; Sadman Sadeed Omee; Jianjun Hu (CoRR, 2023)

Crystal structure prediction using neural network potential and age-fitness Pareto genetic algorithm. - Sadman Sadeed Omee; Lai Wei 008; Jianjun Hu (CoRR, 2023)

Generative Design of inorganic compounds using deep diffusion language models. - Rongzhi Dong; Nihang Fu; Dirisuriya M. D. Siriwardane; Jianjun Hu (CoRR, 2023)

Deep Learning-Based Classification of Gamma Photon Interactions in Room-Temperature Semiconductor Radiation Detectors. - Sandeep K. Chaudhuri; Qinyang Li; Krishna C. Mandal; Jianjun Hu (CoRR, 2023)

Multi-Head multimodal deep interest recommendation network. - Mingbao Yang; Peng Zhou; Shaobo Li 001; Yuanmeng Zhang; Jianjun Hu; Ansi Zhang (Knowl. Based Syst., 2023)

Material transformers: deep learning language models for generative materials design. - Nihang Fu; Lai Wei 008; Yuqi Song; Qinyang Li; Rui Xin; Sadman Sadeed Omee; Rongzhi Dong; Edirisuriya M. Dilanga Siriwardane; Jianjun Hu (Mach. Learn. Sci. Technol., 2023)

Global Mapping of Structures and Properties of Crystal Materials. - Qinyang Li; Rongzhi Dong; Nihang Fu; Sadman Sadeed Omee; Lai Wei 008; Jianjun Hu (J. Chem. Inf. Model., 2023)

Discovery of 2D Materials using Transformer Network-Based Generative Design. - Rongzhi Dong; Yuqi Song; Edirisuriya M. Dilanga Siriwardane; Jianjun Hu (Adv. Intell. Syst., 2023)

GACP: graph neural networks with ARMA filters and a parallel CNN for hyperspectral image classification. - Jing Yang 017; Jie Sun 033; Yaping Ren; Shaobo Li 001; Shujie Ding; Jianjun Hu (Int. J. Digit. Earth, 2023)

Probabilistic generative transformer language models for generative design of molecules. - Lai Wei 008; Nihang Fu; Yuqi Song; Qian Wang; Jianjun Hu (J. Cheminformatics, 2023)

Deep Learning-Based Classification of Gamma Photon Interaction in Room-Temperature Semiconductor Radiation Detectors. - Sandeep K. Chaudhuri; Qinyang Li; Krishna C. Mandal; Jianjun Hu (IEEE Access, 2024)

SME-MFP: A novel spatiotemporal neural network with multiangle initialization embedding toward multifunctional peptides prediction. - Jing Xu; Xiaoli Ruan; Jing Yang 017; Bingqi Hu; Shaobo Li 001; Jianjun Hu (Comput. Biol. Chem., 2024)

Structure-based out-of-distribution (OOD) materials property prediction: a benchmark study. - Sadman Sadeed Omee; Nihang Fu; Rongzhi Dong; Ming Hu; Jianjun Hu (CoRR, 2024)

AlphaCrystal-II: Distance matrix based crystal structure prediction using deep learning. - Yuqi Song; Rongzhi Dong; Lai Wei 008; Qin Li; Jianjun Hu (CoRR, 2024)

Out-of-distribution materials property prediction using adversarial learning based fine-tuning. - Qinyang Li; Nicholas Miklaucic; Jianjun Hu (CoRR, 2024)

Implementation analysis of index calculus method on elliptic curves over prime finite fields. - Jianjun Hu (IACR Cryptol. ePrint Arch., 2024)

GGT-SNN: Graph learning and Gaussian prior integrated spiking graph neural network for event-driven tactile object recognition. - Jing Yang 017; Zukun Yu; Shaobo Li 001; Yang Cao; Jianjun Hu; Ji Xu 001 (Inf. Sci., 2024)

SPIRF-CTA: Selection of parameter importance levels for reasonable forgetting in continuous task adaptation. - Qinglang Li; Jing Yang 017; Xiaoli Ruan; Shaobo Li 001; Jianjun Hu; Bingqi Hu (Knowl. Based Syst., 2024)

A class-incremental learning approach for learning feature-compatible embeddings. - Hongchao An; Jing Yang 017; Xiuhua Zhang; Xiaoli Ruan; Yuankai Wu; Shaobo Li 001; Jianjun Hu (Neural Networks, 2024)

LSSMA: Lightweight Spectral-Spatial Neural Architecture With Multiattention Feature Extraction for Hyperspectral Image Classification. - Shujie Ding; Xiaoli Ruan; Jing Yang 017; Jie Sun 033; Shaobo Li 001; Jianjun Hu (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

A2C-DRL: Dynamic Scheduling for Stochastic Edge-Cloud Environments Using A2C and Deep Reinforcement Learning. - Jialin Lu; Jing Yang 017; Shaobo Li 001; Yijun Li; Wu Jiang; Jiangtian Dai; Jianjun Hu (IEEE Internet Things J., 2024)

LCTCS: Low-Cost and Two-Channel Sparse Network for Hyperspectral Image Classification. - Jie Sun 033; Jing Yang 017; Wang Chen; Sujie Ding; Shaobo Li 001; Jianjun Hu (Neural Process. Lett., 2024)

Coupled Induction Machine and HVAC Models for Simulating HVAC Performance Considering Grid Dynamics in Buildings. - Viswanathan Ganesh; Zhanwei He; Jianjun Hu; Sen Huang; Wangda Zuo (IEEE Access, 2025)

Torsional vibration analysis and suppression for integrated electric drive system considering nonlinear excitations. - Zhicheng Sun; Jianjun Hu; Qi Guo (Commun. Nonlinear Sci. Numer. Simul., 2025)

FCEGNet: Feature calibration and edge-guided MLP decoder Network for RGB-D semantic segmentation. - Yiming Lu; Bin Ge; Chenxing Xia; Xu Zhu; Mengge Zhang; Mengya Gao; Ningjie Chen; Jianjun Hu; Junjie Zhi (Comput. Vis. Image Underst., 2025)

A New Method for Solving Discrete Logarithm Based on Index Calculus. - Jianjun Hu (IACR Cryptol. ePrint Arch., 2025)

HA-A2C: Hard Attention and Advantage Actor-Critic for Addressing Latency Optimization in Edge Computing. - Jing Yang 017; Jialin Lu; Xu Zhou; Shaobo Li 001; Chuanyue Xiong; Jianjun Hu (IEEE Trans. Green Commun. Netw., 2025)

Polymorphism Crystal Structure Prediction with Adaptive Space Group Diversity Control. - Sadman Sadeed Omee; Lai Wei 008; Sourin Dey; Jianjun Hu (CoRR, 2025)