Items where Author is "Wang, R"
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Hu, Y, Wu, M, Yuan, M, Wen, Y, Ren, P, Ye, S, Liu, F, Zhou, B, Fang, H, Wang, R, Ji, Z and Huang, R (2024) Accurate prediction of dielectric properties and bandgaps in materials with a machine learning approach. Applied Physics Letters, 125. ISSN 0003-6951
Wu, J, Ren, P, Zhang, C, Xiao, Y, Xue, Y, Li, Y, Wang, X, Zhang, L, Liu, J, Zhang, J, Wang, R, Ji, Z and Huang, R (2024) Comprehensive Understanding of Flicker Noise in Advanced FinFET Technology: from Noise Sources Separation to Physical-based Modeling. In: 2023 International Electron Devices Meeting (IEDM) . pp. 1-4. (69th Annual IEEE International Electron Devices Meeting (IEDM), 9th - 13th December 2023, San Francisco, USA).
Wang, R, Liu, Y, Thabane, L, Olier, I, Li, L, Ortega-Martorell, S, Lip, GYH and Li, G (2024) Relationship between trajectories of dietary iron intake and risk of type 2 diabetes mellitus: evidence from a prospective cohort study. Nutrition Journal, 23 (1). p. 15.
Liu, Y, Wang, R, Li, S, Zhang, C, Lip, GYH, Thabane, L and Li, G (2024) Relationship Between Lipoprotein(a), Renal Function Indicators, and Chronic Kidney Disease: Evidence From a Large Prospective Cohort Study. JMIR public health and surveillance, 10. e50415.
Ji, Z, Xue, Y, Ren, P, Ye, J, Li, Y, Wu, Y, Wang, D, Wang, S, Wu, J, Wang, Z, Wen, Y, Xia, S, Zhang, L, Zhang, J, Liu, J, Luo, J, Deng, H, Wang, R, Yang, L and Huang, R (2023) Towards Reliability- & Variability-aware Design-Technology Co-optimization in Advanced Nodes: Defect Characterization, Industry-friendly Modelling and ML-assisted Prediction. IEEE Transactions on Electron Devices, 71 (1). pp. 138-150. ISSN 0018-9383
Xue, Y, Ren, P, Wu, J, Liu, Z, Wang, S, Li, Y, Wang, Z, Sun, Z, Wang, D, Wen, Y, Xia, S, Zhang, L, Zhang, J, Ji, Z, Luo, J, Deng, H, Wang, R, Yang, L and Huang, R (2023) On the understanding of PMOS NBTI degradation in advance nodes: Characterization, modeling and exploration on the physical origin of defects. IEEE Transactions on Electron Devices, 70 (9). pp. 4518-4524. ISSN 0018-9383
Wang, R, Gerstein, HC, Van Spall, HGC, Lip, GYH, Olier, I, Ortega-Martorell, S, Thabane, L, Ye, Z and Li, G (2023) Relationship between remnant cholesterol and risk of heart failure in participants with diabetes mellitus. European heart journal. Quality of care & clinical outcomes, 9 (5). pp. 537-545. ISSN 2058-5225
Wang, R, Olier, I, Ortega-Martorell, S, Liu, Y, Ye, Z, Lip, GYH and Li, G (2022) Association between metabolically healthy obesity and risk of atrial fibrillation: taking physical activity into consideration. Cardiovascular Diabetology, 21 (1).
Liu, X, Ren, P, Chen, H, Ji, Z, Liu, J, Wang, R, Zhang, JF and Huang, R (2022) Equiprobability-based Local Response Surface Method for High-Sigma Yield Estimation with Both High Accuracy and Efficiency. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 42 (4). pp. 1346-1350. ISSN 0278-0070
Qiao, Z, Li, J, Liu, C, Guo, L, Ren, P, Ye, S, Zhou, B, Zhang, J, Ji, Z, Liu, J, Wang, R and Huang, R (2022) Realization of Logical NOT Based on Standard DRAM Cells for security-centric Compute-in-Memory applications. In: 6th IEEE Electron Devices Technology and Manufacturing Conference, EDTM 2022 . pp. 333-335. (6th IEEE Electron Devices Technology & Manufacturing Conference (EDTM), 6th March 2022 - 9th March 2022, Oita, Japan).
Liu, C, Guo, L, Qiao, Z, Li, J, Ren, P, Ye, S, Zhou, B, Zhang, J, Ji, Z, Wang, R and Huang, R (2022) Realization of NOR logic using Cu/ZnO/Pt CBRAM. In: 6th IEEE Electron Devices Technology and Manufacturing Conference, EDTM . pp. 132-134. (2022 6th IEEE Electron Devices Technology & Manufacturing Conference (EDTM), 6th March - 9th March 2022, Oita, Japan).
Tu, Z, Xue, Y, Ren, P, Hao, F, Wang, R, Li, M, Zhang, JF, Ji, Z and Huang, R (2021) A Probability-based Strong Physical Unclonable Function with Strong Machine Learning Immunity. IEEE Electron Device Letters. ISSN 0741-3106
Xue, AT, Schrider, DR, Kern, AD, Della Torre, A, Caputo, B, Kabula, B, White, B, Godfray, C, Edi, C, Wilding, C, Neafsey, D, Conway, D, Weetman, D, Ayala, D, Kwiatkowski, D, Sharakhov, I, Midega, J, Xu, J, Pinto, J, Essandoh, J , Matowo, J, Vernick, K, Djogbenou, LS, Coulibaly, M, Lawniczak, M, Donnelly, M, Hahn, M, Fontaine, M, Riehle, M, Besansky, N, Cornejo, O, Mccann, R, O'loughlin, S, Robert, V, Xue, A, Miles, A, Clarkson, C, Battey, CJ, Champion, C, Labbe, F, Bottà, G, Adrion, J, Nelson, J, Harding, N, Wang, R, Small, ST, Redmond, S and Antão, T (2020) Discovery of Ongoing Selective Sweeps within Anopheles Mosquito Populations Using Deep Learning. Molecular Biology and Evolution, 38 (3). pp. 1168-1183. ISSN 0737-4038
Gao, R, Mehedi, M, Chen, H, Wang, X, Zhang, JF, Lin, XL, He, ZY, Chen, YQ, Lei, DY, Huang, Y, En, YF, Ji, Z and Wang, R (2020) A fast and test-proven methodology of assessing RTN/fluctuation on deeply scaled nano pMOSFETs. In: 2020 IEEE International Reliability Physics Symposium (IRPS) . (2020 IEEE International Reliability Physics Symposium (IRPS), 28 April-30 May 2020, Dallas, TX, USA).
Du, Y, Jing, L, Fang, H, Chen, H, Cai, Y, Wang, R, Zhang, JF and Ji, Z (2020) Exploring the impact of random telegraph noise-induced accuracy loss in Resistive RAM-based deep neural network. IEEE Transactions on Electron Devices, 67 (8). pp. 3335-3340. ISSN 0018-9383
Liu, L, Xie, C, Wang, R, Yang, P, Sudirman, S, Zhang, J, Liu, W and Wang, F (2020) Deep Learning based Automatic Multi-Class Wild Pest Monitoring Approach using Hybrid Global and Local Activated Features with Stationary Trap Devices. IEEE Transactions on Industrial Informatics, 17 (11). pp. 7589-7598. ISSN 1551-3203
Tian, W, Xiang, X, Evers, SL, Ma, L, Wang, R, Qiu, X and Wang, H (2020) Rare Species Shift the Structure of Bacterial Communities Across Sphagnum Compartments in a Subalpine Peatland. Frontiers in Microbiology, 10. ISSN 1664-302X
Liu, L, Wang, R, Xie, C, Yang, P, Sudirman, S, Wang, F and Li, R (2019) Deep Learning based Automatic Approach using Hybrid Global and Local Activated Features towards Large-scale Multi-class Pest Monitoring. In: 2019 IEEE 17th International Conference on Industrial Informatics (INDIN) . (IEEE International Conference on Industrial Informatics, 22 July 2019 - 25 July 2019, Helnsinki, Finland).
Liu, L, Wang, R, Xie, C, Yang, P, Wang, F, Sudirman, S and Liu, W (2019) PestNet: An End-to-End Deep Learning Approach for Large-Scale Multi-Class Pest Detection and Classification. IEEE Access. ISSN 2169-3536
Wang, R, Nguyen, TT, Li, C, Jenkinson, I, Yang, Z and Kavakeb, S (2018) Optimising discrete dynamic berth allocations in seaports using a Levy Flight based meta-heuristic. Swarm and Evolutionary Computation, 44. pp. 1003-1017. ISSN 2210-6502
Wang, R (2018) Berth Scheduling at Seaports: Meta-Heuristics and Simulation. Doctoral thesis, Liverpool John Moores University.
Kang, J, Yu, Z, Wu, L, Fang, Y, Wang, Z, Cai, Y, Ji, Z, Zhang, JF, Wang, R, Yang, Y and Huang, R (2017) Time-Dependent Variability in RRAM-based Analog Neuromorphic System for Pattern Recognition. In: Technical Digest of the IEEE International Electron Devices Meeting (IEDM), . (2017 International Electron Devices Meeting (IEDM),, 2nd-6th December 2017, San Fransisco, USA).
Wang, X, Qu, D, Li, K, Cheng, H, Das, SK, Huang, M, Wang, R and Chen, S (2017) A flexible and generalized framework for access network selection in heterogeneous wireless networks. Pervasive and Mobile Computing, 40. pp. 556-576. ISSN 1574-1192
Ha, C, Nguyen, TT, Bui, T and Wang, R (2017) An online packing heuristic for the three-dimensional container loading problem in dynamic environments and the Physical Internet. Lecture Notes in Computer Science, 10200. pp. 140-155. ISSN 0302-9743
Ji, Z, Gao, R, Zhang, JF, Zhang, WD, Duan, M, Ren, P, Arimura, H, Wang, R and Franco, R (2016) Understanding charge traps for optimizing Si-passivated Ge nMOSFETs. In: 2016 IEEE Symposium on VLSI Technology . (Symposia on VLSI Technology and Circuits, 13th-17th June 2016, Hawaii, US).
Sun, Y, Wang, R, Bai, H, Whyatt, G, Tamara, TT and Cattaneo, E How Millennials Perceive Luxury Fashion Brands - Case of Indonesia. In: Proceedings of the European Marketing Academy . (European Marketing Academy, EMAC 2024 53rd Annual Conference, 28-31 March 2024, Bucharest, Romania). (Accepted)
Sun, Y, Wang, R, Bai, H, Whyatt, G and Ohandi, TT Perceived Values of Luxury Fashion Brands – Evidence from Indonesian Millennials. SN Business & Economics. (Accepted)