Boxuan Zhong

Li, M., Zhong, B., Lobaton, E., & Huang, H. (2022). Fusion of Human Gaze and Machine Vision for Predicting Intended Locomotion Mode. IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 30, 1103–1112. https://doi.org/10.1109/TNSRE.2022.3168796

da Silva, R. L., Zhong, B., Chen, Y., & Lobaton, E. (2022). Improving Performance and Quantifying Uncertainty of Body-Rocking Detection Using Bayesian Neural Networks. Information, 13(7), 338. https://doi.org/10.3390/info13070338

Zhong, B., Huang, H., & Lobaton, E. (2022). Reliable Vision-Based Grasping Target Recognition for Upper Limb Prostheses. IEEE TRANSACTIONS ON CYBERNETICS, 52(3), 1750–1762. https://doi.org/10.1109/TCYB.2020.2996960

Zhong, B., Silva, R. L., Tran, M., Huang, H., & Lobaton, E. (2021, June 7). Efficient Environmental Context Prediction for Lower Limb Prostheses. IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, Vol. 6. https://doi.org/10.1109/TSMC.2021.3084036

Ge, Q., Richmond, T., Zhong, B., Marchitto, T. M., & Lobaton, E. J. (2021). Enhancing the morphological segmentation of microscopic fossils through Localized Topology-Aware Edge Detection. AUTONOMOUS ROBOTS, 45(5), 709–723. https://doi.org/10.1007/s10514-020-09950-9

Zhong, B., Silva, R. L., Li, M., Huang, H., & Lobaton, E. (2021). Environmental Context Prediction for Lower Limb Prostheses With Uncertainty Quantification. IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 18(2), 458–470. https://doi.org/10.1109/TASE.2020.2993399

Li, L., Zhong, B., Hutmacher, C., Jr., Liang, Y., Horrey, W. J., & Xu, X. (2020). Detection of driver manual distraction via image-based hand and ear recognition. ACCIDENT ANALYSIS AND PREVENTION, 137. https://doi.org/10.1016/j.aap.2020.105432

Mitra, R., Marchitto, T. M., Ge, Q., Zhong, B., Kanakiya, B., Cook, M. S., … Lobaton, E. (2019). Automated species-level identification of planktic foraminifera using convolutional neural networks, with comparison to human performance. MARINE MICROPALEONTOLOGY, 147, 16–24. https://doi.org/10.1016/j.marmicro.2019.01.005

Zhong, B., Ge, Q., Kanakiya, B., Mitra, R., Marchitto, T., & Lobaton, E. (2017). A comparative study of image classification algorithms for foraminifera identification. 2017 IEEE Symposium Series on Computational Intelligence (SSCI), 3199–3206. https://doi.org/10.1109/ssci.2017.8285164

Ge, Q., Zhong, B., Kanakiya, B., Mitra, R., Marchitto, T., & Lobaton, E. (2017). Coarse-to-fine Foraminifera image segmentation through 3d and deep features. 2017 IEEE Symposium Series on Computational Intelligence (SSCI). https://doi.org/10.1109/ssci.2017.8280982

Zhong, B., Qin, Z. K., Yang, S., Chen, J. Y., Mudrick, N., Taub, M., … Lobaton, E. (2017). Emotion recognition with facial expressions and physiological signals. 2017 IEEE Symposium Series on Computational Intelligence (SSCI), 1170–1177. https://doi.org/10.1109/ssci.2017.8285365

Lokare, N., Samadi, S., Zhong, B., Gonzalez, L., Mohammadzadeh, F., & Lobaton, E. (2017). Energy-efficient activity recognition via multiple time-scale analysis. 2017 IEEE Symposium Series on Computational Intelligence (SSCI), 1466–1472. https://doi.org/10.1109/ssci.2017.8285176