Jianjun Hu

Scopus Author ID ORCID

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 27

Top Venues

The journal of physical chemistry. A

ACS applied materials & interfaces

Advanced science (Weinheim, Baden-Wurttemberg, Germany)

ACS omega

University of South Carolina

Michigan State University (PHD)

This page only lists publications with an associated author ORCID identifier.

Affiliation History

University of South Carolina May 01 2013

United States

Associate Professor :: Department of Computer Science and Engineering

University of South Carolina Sep 01 2007 - May 01 2013

United States

Assistant Professor :: Department of Computer Science and Engineering

Education History

Michigan State University Aug 15 2000 - Jul 01 2004

United States

PHD :: Department of computer Science and Engineering

Publications

Rongzhi Dong, Nihang Fu, Edirisuriya M Dilanga Siriwardane, Jianjun Hu
Generative Design of Inorganic Compounds Using Deep Diffusion Language Models. The journal of physical chemistry. A 128 (29) (2024)
Rongzhi Dong, Nihang Fu, Edirisuriya M Dilanga Siriwardane, Jianjun Hu
Generative Design of Inorganic Compounds Using Deep Diffusion Language Models. The journal of physical chemistry. A (2024)
Nihang Fu, Lai Wei, Jianjun Hu
Physics-Guided Dual Self-Supervised Learning for Structure-Based Material Property Prediction. The journal of physical chemistry letters (2024)
Lai Wei, Qinyang Li, Yuqi Song, Stanislav Stefanov, Rongzhi Dong, Nihang Fu, Edirisuriya M D Siriwardane, Fanglin Chen, Jianjun Hu
Crystal Composition Transformer: Self-Learning Neural Language Model for Generative and Tinkering Design of Materials. Advanced science (Weinheim, Baden-Wurttemberg, Germany) (2024)
Rongzhi Dong, Nihang Fu, Edirisuriya M Dilanga Siriwardane, Jianjun Hu
Generative Design of Inorganic Compounds Using Deep Diffusion Language Models. The journal of physical chemistry. A 128 (29) (2024)
Nihang Fu, Lai Wei, Jianjun Hu
Physics-Guided Dual Self-Supervised Learning for Structure-Based Material Property Prediction. The journal of physical chemistry letters 15 (10) (2024)
Jianjun Hu, Yong Zhao, Qin Li, Yuqi Song, Rongzhi Dong, Wenhui Yang, Edirisuriya M Dilanga Siriwardane
Deep Learning-Based Prediction of Contact Maps and Crystal Structures of Inorganic Materials. ACS omega 8 (29) (2023)
Nihang Fu, Jeffrey Hu, Ying Feng, Gregory Morrison, Hans-Conrad Zur Loye, Jianjun Hu
Composition Based Oxidation State Prediction of Materials Using Deep Learning Language Models. Advanced science (Weinheim, Baden-Wurttemberg, Germany) (2023)
Qinyang Li, Rongzhi Dong, Nihang Fu, Sadman Sadeed Omee, Lai Wei, Jianjun Hu
Global Mapping of Structures and Properties of Crystal Materials. Journal of chemical information and modeling (2023)
Rongzhi Dong, Yong Zhao, Yuqi Song, Nihang Fu, Sadman Sadeed Omee, Sourin Dey, Qinyang Li, Lai Wei, Jianjun Hu
DeepXRD, a Deep Learning Model for Predicting XRD spectrum from Material Composition. ACS applied materials & interfaces 14 (35) (2022)
Wenhui Yang, Edirisuriya M Dilanga Siriwardane, Jianjun Hu
Crystal Structure Prediction Using an Age-Fitness Multiobjective Genetic Algorithm and Coordination Number Constraints. The journal of physical chemistry. A 126 (4) (2022)
Steph-Yves Louis, Edirisuriya M Dilanga Siriwardane, Rajendra P Joshi, Sadman Sadeed Omee, Neeraj Kumar, Jianjun Hu
Accurate Prediction of Voltage of Battery Electrode Materials Using Attention-Based Graph Neural Networks. ACS applied materials & interfaces (2022)
Nghia Nguyen, Steph-Yves V Louis, Lai Wei, Kamal Choudhary, Ming Hu, Jianjun Hu
Predicting Lattice Vibrational Frequencies Using Deep Graph Neural Networks. ACS omega 7 (30) (2022)
Lai Wei, Nihang Fu, Edirisuriya M Dilanga Siriwardane, Wenhui Yang, Sadman Sadeed Omee, Rongzhi Dong, Rui Xin, Jianjun Hu
TCSP: a Template-Based Crystal Structure Prediction Algorithm for Materials Discovery. Inorganic chemistry 61 (22) (2022)
Joshua Ojih, Uche Onyekpe, Alejandro Rodriguez, Jianjun Hu, Chengxiao Peng, Ming Hu
Machine Learning Accelerated Discovery of Promising Thermal Energy Storage Materials with High Heat Capacity. ACS applied materials & interfaces 14 (38) (2022)
Yuxin Li, Wenhui Yang, Rongzhi Dong, Jianjun Hu
Mlatticeabc: Generic Lattice Constant Prediction of Crystal Materials Using Machine Learning. ACS omega 6 (17) (2021)
Yong Zhao, Mohammed Al-Fahdi, Ming Hu, Edirisuriya M D Siriwardane, Yuqi Song, Alireza Nasiri, Jianjun Hu
High-Throughput Discovery of Novel Cubic Crystal Materials Using Deep Generative Neural Networks. Advanced science (Weinheim, Baden-Wurttemberg, Germany) 8 (20) (2021)
Yuqi Song, Edirisuriya M Dilanga Siriwardane, Yong Zhao, Jianjun Hu
Computational Discovery of New 2D Materials Using Deep Learning Generative Models. ACS applied materials & interfaces 13 (45) (2021)
Jing Jin, Zhonghao Liu, Alireza Nasiri, Yuxin Cui, Stephen-Yves Louis, Ansi Zhang, Yong Zhao, Jianjun Hu
Deep learning pan-specific model for interpretable MHC-I peptide binding prediction with improved attention mechanism. Proteins 89 (7) (2021)
Wenhui Yang, Edirisuriya M Dilanga Siriwardane, Rongzhi Dong, Yuxin Li, Jianjun Hu
Crystal structure prediction of materials with high symmetry using differential evolution. Journal of physics. Condensed matter : an Institute of Physics journal 33 (45) (2021)
Christian Loftis, Kunpeng Yuan, Yong Zhao, Ming Hu, Jianjun Hu
Lattice Thermal Conductivity Prediction Using Symbolic Regression and Machine Learning. The journal of physical chemistry. A 125 (1) (2020)
Steph-Yves Louis, Yong Zhao, Alireza Nasiri, Xiran Wang, Yuqi Song, Fei Liu, Jianjun Hu
Graph convolutional neural networks with global attention for improved materials property prediction. Physical chemistry chemical physics : PCCP 22 (32) (2020)
Jianjun Hu, Wenhui Yang, Edirisuriya M Dilanga Siriwardane
Distance Matrix-Based Crystal Structure Prediction Using Evolutionary Algorithms. The journal of physical chemistry. A 124 (51) (2020)
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 & biological engineering & computing 57 (9) (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 (Basel, Switzerland) 19 (10) (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 (Basel, Switzerland) 20 (2) (2018)
Zheng Xiong, Yinyan He, Jason R Hattrick-Simpers, Jianjun Hu
Automated Phase Segmentation for Large-Scale X-ray Diffraction Data Using a Graph-Based Phase Segmentation (GPhase) Algorithm. ACS combinatorial science 19 (3) (2017)

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Publication Activity (10 Years)

Top Topics

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Jianjun Hu