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Items where Author is "Fang, H"

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Number of items: 11.

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

Liu, C, Ren, P, Zhou, B, Zhang, JF, Fang, H and Ji, Z (2021) Investigation on the implementation of stateful minority logic for future in-memory computing. IEEE Access, 9. pp. 168648-168655. ISSN 2169-3536

Xue, F, He, X, Wang, Z, Retamal, JRD, Chai, Z, Lingling, J, Chenhui, Z, Fang, H, Chai, Y, Zhang, WD, Alshareef, H, Ji, Z, Li, L-J, He, J-H and Zhang, X (2021) Giant ferroelectric resistance switching controlled by a modulatory terminal for low-power neuromorphic in-memory computing. Advanced Materials, 33 (21). ISSN 0935-9648

Koh, SS, Zhou, B, Fang, H, Yang, P, Yang, Z, Yang, Q, Guan, L and Ji, Z (2020) Real-time Deep Reinforcement Learning based Vehicle Routing and Navigation. Applied Soft Computing Journal, 96. ISSN 1568-4946

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

Zhan, X, Shen, C, Ji, Z, Chen, J, Fang, H, Guo, F and Zhang, JF (2019) A Dual-Point technique for the entire ID-VG characterization into subthreshold region under Random Telegraph Noise condition. IEEE Electron Device Letters, 40 (5). pp. 674-677. ISSN 0741-3106

Koh, SS, Zhou, B, Yang, P, Yang, Z, Fang, H and Feng, J (2019) Reinforcement Learning for Vehicle Route Optimization in SUMO. In: 2018 IEEE 20th International Conference on High Performance Computing and Communications; IEEE 16th International Conference on Smart City; IEEE 4th International Conference on Data Science and Systems (HPCC/SmartCity/DSS) . (The 16th IEEE Conference on Smart City, 28 - 30 June 2018, Exeter, UK).

Fang, H, Wang, V and Yamaguchi, M (2018) Dissecting Deep Learning Networks—Visualizing Mutual Information. Entropy, 20 (11). ISSN 1099-4300

Fang, H, Walton, S, Delahaye, E, Harris, J, Storchak, DA and Chen, M (2016) Categorical Colormap Optimization with Visualization Case Studies. IEEE Transactions on Visualization and Computer Graphics, 23 (1). pp. 871-880. ISSN 1077-2626

Fang, H, Mac Parthaláin, N, Aubrey, AJ, Tam, GK, Borgo, R, Rosin, PL, Grant, PW, Marshall, D and Chen, M (2013) Facial expression recognition in dynamic sequences: An integrated approach. Pattern Recognition, 47 (3). pp. 1271-1281. ISSN 0031-3203

Fang, H, Tam, GK-L, Borgo, R, Aubrey, AJ, Grant, PW, Rosin, PL, Wallraven, C, Cunningham, D, Marshall, D and Chen, M (2012) Visualizing Natural Image Statistics. IEEE Transactions on Visualization and Computer Graphics, 19 (7). pp. 1228-1241. ISSN 1077-2626

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