教育背景
2016.7-2017.7 法国巴黎高等电子学院,信号、图像与通信方向访问学者及博士后
1995.9-1999.12 南京理工大学电光学院, 获机电工程专业工学博士学位
1990.9-1994.6扬州大学物理学院, 获物理教育(应用电子)专业理学学位
工作经历
2016.7-20171.7 法国巴黎高等电子学院访问学者及博士后
2004.9-至今 扬州大学副教授及硕士研究生导师
2000.9-2003.8 扬州大学讲师
1994.9-2000.8 扬州大学助教
项目课题经历
科研项目:基于非线性将维的视频信号分析(江苏省教育厅2004-2006)
论文、成果、著作等
发表科研学术论文30余篇,其中7篇SCI收录,7篇EI收录,3篇ISTP收录。
[1] Honggui Li, Maria Trocan, Deep learning of smartphone sensor data for personal health assistance, Microelectronics Journal, 2018, online, SCI.
[2] Honggui Li, 1D representation of Isomap for video coding, Multimedia Systems, 2018, 24(3), 297-312, SCI.
[3] Honggui Li, Maria Trocan, Deep neural network based single pixel prediction for unified video coding, Neurocomputing, 2018, 272, 558-570, SCI.
[4] Honggui Li, 1D Representation Based Locally Linear Embedding for Image Prediction, Multimedia Tools and Applications, 2017, 76, 8651-8676, SCI.
[5] Honggui Li, Deep linear autoencoder and patch clustering based unified 1D coding of image and video, Journal of Electronic Imaging, 2017, 26(5), 053016-1- 053016-13, SCI.
[6] Honggui Li, Single and Double Reference Points Based High Precision 3D Indoor Positioning with Camera and Orientation-Sensor on Smart Phone, Wireless Personal Communication, 2015, 83, 1995–2011, SCI.
[7] Honggui Li, Low-Cost 3D Bluetooth Indoor Positioning with Least Square, Wireless Personal Communication, 2014, 78, 1331–1344, SCI.
[8] Honggui Li, Maria Trocan, Personal Health Indicators by Deep Learning of Smart Phone Sensor Data, IEEE CYBCONF, 2017, EI.
[9] Honggui Li, Maria Trocan, A Compressive Domain Saliency -based Adaptive Measurement Method for Image Recovery, IEEE ICECS, 2016, EI.
[10] Honggui Li, Maria Trocan, Compressive Domain Spatial-Temporal Difference Saliency -based Realtime Adaptive Measurement Method for Video Recovery, International Journal of Numerical Modelling: Electronic Networks, Devices and Fields, 2018, revised, SCI.
[11] Honggui Li, Maria Trocan, 1D Representation of Laplacian Eigenmaps and Dual k-Nearest Neighbors for Unified Video Coding, International Journal of Pattern Recognition and Artificial Intelligence, 2018, submitted, SCI.
[12] Honggui Li, Virtual Fingerprint and Two-Way Ranging Based Bluetooth 3D Indoor Positioning with RSSI Difference and Distance Ratio, Ad Hoc & Sensor Wireless Networks, 2018, submitted, SCI.
[13] Honggui Li, Xingguo Li, Image Segmentation with Pseudo Branch and Bound Algorithm, ICMLC, IEEE, 09, 4, 2448-2452, EI.
[14] Honggui Li, Xingguo Li, United Input Isomap for Motion Trajectories, ICMS, WorldAcademic, 09, 4, 457-466, ISTP.
[15] Honggui Li, Xingguo Li, Improved LLE Algorithm for Motion Analysis, LNCS, Springer, 07, 4847, 733-742, ISTP.
[16] Honggui Li, Xingguo Li, Improved Isomap Algorithm for Motion Analysis, ISKE, Atlantis ISKE, 07, ISTP.
[17] Cuiping Shi, Honggui Li, Xingguo Li, Multi-resolution local moment feature for gait recognition, ICMLC, IEEE, 06, 6, 3709-3714, EI.
[18] Honggui Li, Xingguo Li, PCA based gait segmentation, IJIT, SCS IJIT, 06, 12, 136-145.
[19] Honggui Li, Xingguo Li, LLE based gait recognition, ICMLC, IEEE, 05, 7, 4516-4521, EI.
[20] Honggui Li, Xingguo Li, LLE based gait analysis and recognition, LNCS, Springer, 04, 3338, 671-679, SCI.
[21] Honggui Li, Xingguo Li, Gait analysis using LLE, ICSP, IEEE, 04, 2, 1423-1426, EI.
[22] Honggui Li, Xingguo Li, Gait analysis using ISOMAP, ICMLC, IEEE, 04, 6, 3894-3898, EI.
专利、著作版权等
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