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Article
A decomposition heuristics based on multi-bottleneck machines for large-scale job shop scheduling problems
Zhai, Y., Liu, C., Chu, W., Guo, R. & Liu, C., 2014, In: Journal of Industrial Engineering and Management. 7, 5, p. 1397-1414 18 p.Research output: Contribution to journal › Article › peer-review
Open Access -
A decoupled credibility-based design optimization method for fuzzy design variables by failure credibility surrogate modeling
Jia, B., Lu, Z. & Wang, L., 1 Jul 2020, In: Structural and Multidisciplinary Optimization. 62, 1, p. 285-297 13 p.Research output: Contribution to journal › Article › peer-review
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A decoupled designing approach for sampling consensus of multi-agent systems
Liu, Y., Zhao, Y. & Chen, G., 10 Jan 2018, In: International Journal of Robust and Nonlinear Control. 28, 1, p. 310-325 16 p.Research output: Contribution to journal › Article › peer-review
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A Decoupled Method for Credibility-Based Design Optimization with Fuzzy Variables
Wang, L., Lu, Z. & Jia, B., 1 Apr 2020, In: International Journal of Fuzzy Systems. 22, 3, p. 844-858 15 p.Research output: Contribution to journal › Article › peer-review
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A decoupling method for solving the multi-agent path finding problem
Liao, B., Zhu, S., Hua, Y., Wan, F. & Qing, X., Dec 2023, In: Complex and Intelligent Systems. 9, 6, p. 6767-6780 14 p.Research output: Contribution to journal › Article › peer-review
Open Access -
A deep bidirectional LSTM approach for video-realistic talking head
Fan, B., Xie, L., Yang, S., Wang, L. & Soong, F. K., 1 May 2016, In: Multimedia Tools and Applications. 75, 9, p. 5287-5309 23 p.Research output: Contribution to journal › Article › peer-review
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A deep clustering framework for underwater image recognition
Zhao, L., Zhang, X. L. & Yang, K., Jun 2025, In: Digital Signal Processing: A Review Journal. 161, 105131.Research output: Contribution to journal › Article › peer-review
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A deep cross-modal neural cognitive diagnosis framework for modeling student performance
Song, L., He, M., Shang, X., Yang, C., Liu, J., Yu, M. & Lu, Y., 15 Nov 2023, In: Expert Systems with Applications. 230, 120675.Research output: Contribution to journal › Article › peer-review
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A deep ensemble dense convolutional neural network for rolling bearing fault diagnosis
Wu, Z., Jiang, H., Liu, S. & Zhao, K., Oct 2021, In: Measurement Science and Technology. 32, 10, 104014.Research output: Contribution to journal › Article › peer-review
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A deep feature alignment adaptation network for rolling bearing intelligent fault diagnosis
Liu, S., Jiang, H., Wang, Y., Zhu, K. & Liu, C., Apr 2022, In: Advanced Engineering Informatics. 52, 101598.Research output: Contribution to journal › Article › peer-review
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A deep feature enhanced reinforcement learning method for rolling bearing fault diagnosis
Wang, R., Jiang, H., Zhu, K., Wang, Y. & Liu, C., Oct 2022, In: Advanced Engineering Informatics. 54, 101750.Research output: Contribution to journal › Article › peer-review
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A Deep Forest-Based Fault Diagnosis Scheme for Electronics-Rich Analog Circuit Systems
Jia, Z., Liu, Z., Gan, Y., Vong, C. M. & Pecht, M., Oct 2021, In: IEEE Transactions on Industrial Electronics. 68, 10, p. 10087-10096 10 p., 9186310.Research output: Contribution to journal › Article › peer-review
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A deep grouping fusion neural network for multimedia content understanding
Song, L., Yu, M., Shang, X., Lu, Y., Liu, J., Zhang, Y. & Li, Z., Jul 2022, In: IET Image Processing. 16, 9, p. 2398-2411 14 p.Research output: Contribution to journal › Article › peer-review
Open Access -
A deep insight for TBBPA imprinting on PVP-assisted separation membrane: Elucidation of detailed chemical transition in membrane preparation and imprinting process
Yu, C., He, W., Yan, Y., Song, J., Xing, W., Meng, M., Gao, J., Yan, Y., Wu, Y. & Ma, Z., 15 May 2022, In: Chemical Engineering Journal. 436, 135024.Research output: Contribution to journal › Article › peer-review
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A Deep Joint Network for Multispectral Demosaicking Based on Pseudo-Panchromatic Images
Liu, S., Zhang, Y., Chen, J., Lim, K. P. & Rahardja, S., 1 Jun 2022, In: IEEE Journal on Selected Topics in Signal Processing. 16, 4, p. 622-635 14 p.Research output: Contribution to journal › Article › peer-review
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A deep learning approach to predict thermophysical properties of metastable liquid Ti-Ni-Cr-Al alloy
Xiao, R. L., Wang, Q., Qin, J. Y., Zhao, J. F., Ruan, Y., Wang, H. P., Li, H. & Wei, B., 28 Feb 2023, In: Journal of Applied Physics. 133, 8, ,085102.Research output: Contribution to journal › Article › peer-review
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A deep learning approach to segmentation of nasopharyngeal carcinoma using computed tomography
Bai, X., Hu, Y., Gong, G., Yin, Y. & Xia, Y., Feb 2021, In: Biomedical Signal Processing and Control. 64, 102246.Research output: Contribution to journal › Article › peer-review
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A Deep Learning Based Data-Driven Thruster Fault Diagnosis Approach for Satellite Attitude Control System
Xiao, B. & Yin, S., Oct 2021, In: IEEE Transactions on Industrial Electronics. 68, 10, p. 10162-10170 9 p., 9209089.Research output: Contribution to journal › Article › peer-review
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A deep learning based health index construction method with contrastive learning
Wang, H., Li, X., Zhang, Z., Deng, X. & Jiang, W., Feb 2024, In: Reliability Engineering and System Safety. 242, 109799.Research output: Contribution to journal › Article › peer-review
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A deep learning-based method for drug-target interaction prediction based on long short-term memory neural network
Wang, Y. B., You, Z. H., Yang, S., Yi, H. C., Chen, Z. H. & Zheng, K., 18 Mar 2020, In: BMC Medical Informatics and Decision Making. 20, 49.Research output: Contribution to journal › Article › peer-review
Open Access -
A deep learning based prediction approach for the supercritical airfoil at transonic speeds
Sun, D., Wang, Z., Qu, F. & Bai, J., 1 Aug 2021, In: Physics of Fluids. 33, 8, 086109.Research output: Contribution to journal › Article › peer-review
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A deep learning framework for hydrogen-fueled turbulent combustion simulation
An, J., Wang, H., Liu, B., Luo, K. H., Qin, F. & He, G. Q., 10 Jul 2020, In: International Journal of Hydrogen Energy. 45, 35, p. 17992-18000 9 p.Research output: Contribution to journal › Article › peer-review
Open Access -
A Deep Learning Framework for Robust and Accurate Prediction of ncRNA-Protein Interactions Using Evolutionary Information
Yi, H. C., You, Z. H., Huang, D. S., Li, X., Jiang, T. H. & Li, L. P., 1 Jun 2018, In: Molecular Therapy Nucleic Acids. 11, p. 337-344 8 p.Research output: Contribution to journal › Article › peer-review
Open Access -
A deep learning framework for supersonic turbulent combustion
Zhao, T., Wu, C., Zhu, R., Liu, B., Qin, F., An, J. & He, G., Dec 2024, In: Acta Astronautica. 225, p. 524-537 14 p.Research output: Contribution to journal › Article › peer-review
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A deep learning method for autism spectrum disorder identification based on interactions of hierarchical brain networks
Qiang, N., Gao, J., Dong, Q., Li, J., Zhang, S., Liang, H., Sun, Y., Ge, B., Liu, Z., Wu, Z., Liu, T., Yue, H. & Zhao, S., 24 Aug 2023, In: Behavioural Brain Research. 452, 114603.Research output: Contribution to journal › Article › peer-review
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A deep learning method for repurposing antiviral drugs against new viruses via multi-view nonnegative matrix factorization and its application to SARS-CoV-2
Su, X., Hu, L., You, Z., Hu, P., Wang, L. & Zhao, B., 1 Jan 2022, In: Briefings in Bioinformatics. 23, 1, bbab526.Research output: Contribution to journal › Article › peer-review
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A Deep-Learning Potential for Crystalline and Amorphous Li-Si Alloys
Xu, N., Shi, Y., He, Y. & Shao, Q., 30 Jul 2020, In: Journal of Physical Chemistry C. 124, 30, p. 16278-16288 11 p.Research output: Contribution to journal › Article › peer-review
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A deep neural network approach with attention mechanism to improve the quality of target observation for UAVs
Liu, B., Ning, X., Ma, S. & Wang, Z., Apr 2024, In: Computers and Industrial Engineering. 190, 110075.Research output: Contribution to journal › Article › peer-review
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A Deep Neural Network Model with Attribute Network Representation for lncRNA-Protein Interaction Prediction
Wei, M. M., Yu, C. Q., Li, L. P., You, Z. H. & Lei-Wang, 2024, In: Current Bioinformatics. 19, 4, p. 341-351 11 p.Research output: Contribution to journal › Article › peer-review
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A deep reinforcement learning approach incorporating genetic algorithm for missile path planning
Xu, S., Bi, W., Zhang, A. & Wang, Y., May 2024, In: International Journal of Machine Learning and Cybernetics. 15, 5, p. 1795-1814 20 p.Research output: Contribution to journal › Article › peer-review
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A deep reinforcement transfer convolutional neural network for rolling bearing fault diagnosis
Wu, Z., Jiang, H., Liu, S. & Wang, R., Oct 2022, In: ISA Transactions. 129, p. 505-524 20 p.Research output: Contribution to journal › Article › peer-review
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A Deep Scene Representation for Aerial Scene Classification
Zheng, X., Yuan, Y. & Lu, X., Jul 2019, In: IEEE Transactions on Geoscience and Remote Sensing. 57, 7, p. 4799-4809 11 p., 8636541.Research output: Contribution to journal › Article › peer-review
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A Deep Spatial Contextual Long-Term Recurrent Convolutional Network for Saliency Detection
Liu, N. & Han, J., Jul 2018, In: IEEE Transactions on Image Processing. 27, 7, p. 3264-3274 11 p.Research output: Contribution to journal › Article › peer-review
Open Access -
A deep transfer maximum classifier discrepancy method for rolling bearing fault diagnosis under few labeled data
Wu, Z., Jiang, H., Lu, T. & Zhao, K., 21 May 2020, In: Knowledge-Based Systems. 196, 105814.Research output: Contribution to journal › Article › peer-review
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A deep transfer nonnegativity-constraint sparse autoencoder for rolling bearing fault diagnosis with few labeled data
Li, X., Jiang, H., Zhao, K. & Wang, R., 2019, In: IEEE Access. 7, p. 91216-91224 9 p., 8753488.Research output: Contribution to journal › Article › peer-review
Open Access -
A deep-water ray-based blind deconvolution for a near-surface source with a bottom-moored short-aperture vertical array
Xu, Z., Li, H., Yang, K. & Li, P., 1 Feb 2022, In: JASA Express Letters. 2, 2, 026001.Research output: Contribution to journal › Article › peer-review
Open Access -
A deformation compensation method for wax pattern die of turbine blade
Jiang, R. S., Zhang, D. H., Bu, K., Wang, W. H. & Tian, J. W., 1 Feb 2017, In: International Journal of Advanced Manufacturing Technology. 88, 9-12, p. 3195-3203 9 p.Research output: Contribution to journal › Article › peer-review
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A degradation model for simultaneous brightness and sharpness enhancement of low-light image
Li, P., Liang, J. & Zhang, M., Dec 2021, In: Signal Processing. 189, 108298.Research output: Contribution to journal › Article › peer-review
Open Access -
A Degradation Prediction Method for PEM Fuel Cell Based on Deep Temporal Feature Extraction and Transfer Learning
Zhang, Y., Ma, R., Xie, R., Feng, Z., Liang, B. & Li, Y., 1 Mar 2024, In: IEEE Transactions on Transportation Electrification. 10, 1, p. 203-212 10 p.Research output: Contribution to journal › Article › peer-review
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A delay-aware schedule method for distributed information fusion with elastic and inelastic traffic
Shen, B., Rho, S., Zhou, X. & Wang, R., 1 Jul 2017, In: Information Fusion. 36, p. 68-79 12 p.Research output: Contribution to journal › Article › peer-review
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A delivery system specifically approaching bone resorption surfaces to facilitate therapeutic modulation of microRNAs in osteoclasts
Liu, J., Dang, L., Li, D., Liang, C., He, X., Wu, H., Qian, A., Yang, Z., Au, D. W. T., Chiang, M. W. L., Zhang, B. T., Han, Q., Yue, K. K. M., Zhang, H., Lv, C., Pan, X., Xu, J., Bian, Z., Shang, P. & Tan, W. & 4 others, , 2015, In: Biomaterials. 52, 1, p. 148-160 13 p.Research output: Contribution to journal › Article › peer-review
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A denoising representation framework for underwater acoustic signal recognition
Zhou, X. & Yang, K., 1 Apr 2020, In: Journal of the Acoustical Society of America. 147, 4, p. EL377-EL383Research output: Contribution to journal › Article › peer-review
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A de novo originated gene depresses budding yeast mating pathway and is repressed by the protein encoded by its antisense strand
Li, D., Dong, Y., Jiang, Y., Jiang, H., Cai, J. & Wang, W., Apr 2010, In: Cell Research. 20, 4, p. 408-420 13 p.Research output: Contribution to journal › Article › peer-review
Open Access -
A dense and strong bonding collagen film for carbon/carbon composites
Cao, S., Li, H., Li, K., Lu, J. & Zhang, L., 30 Aug 2015, In: Applied Surface Science. 347, p. 307-314 8 p.Research output: Contribution to journal › Article › peer-review
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A dense connection based network for real-time object tracking
Lu, Y., Yuan, Y. & Wang, Q., 14 Oct 2020, In: Neurocomputing. 410, p. 229-236 8 p.Research output: Contribution to journal › Article › peer-review
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A dense ZrB2-SiC-Si/SiC-Si coating to protect carbon/carbon composites against oxidation at 1773 K and 1973 K
Zhou, L., Fu, Q., Hu, D., Zhang, J., Wei, Y., Zhu, J., Song, J. & Tong, M., 1 May 2021, In: Corrosion Science. 183, 109331.Research output: Contribution to journal › Article › peer-review
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A Density Functional Theory Study of Codoping Characteristics of Sulfur with Alkaline Earth in Delafossite CuAlO2
Liu, Q. J., Qin, H. & Liu, Z. T., 1 Apr 2016, In: Communications in Theoretical Physics. 65, 4, p. 527-530 4 p.Research output: Contribution to journal › Article › peer-review
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A depth information aided real-time instance segmentation method for space task scenarios under CPU platform
Li, Q., Zhu, Z., Liang, J., Zhang, H., Xu, Y. & Zhang, Z., Mar 2023, In: Acta Astronautica. 204, p. 666-678 13 p.Research output: Contribution to journal › Article › peer-review
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Adequate is better: Particle swarm optimization with limited-information
Du, W. B., Gao, Y., Liu, C., Zheng, Z. & Wang, Z., 22 Jul 2015, In: Applied Mathematics and Computation. 268, p. 832-838 7 p.Research output: Contribution to journal › Article › peer-review
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A derivative based sensitivity measure of failure probability in the presence of epistemic and aleatory uncertainties
Wang, P., Lu, Z. & Tang, Z., Jan 2013, In: Computers and Mathematics with Applications. 65, 1, p. 89-101 13 p.Research output: Contribution to journal › Article › peer-review
Open Access