2004年至2008年，就读于威斯尼斯人60555电子信息科学与技术专业，获学士学位，2008年入选威斯尼斯人60555百名后备师资培养计划；
2009年至2015年，就读于美国亚利桑那大学电子与计算机工程系，获博士学位；
2015年至2017年，在美国亚利桑那大学做博士后研究；
2017年6月至今，加入威斯尼斯人60555工作。
入选2018年度天津市“131”创新型人才培养工程第三层次。
目前主要从事通信信号处理、认知自适应系统、图像压缩编码原理、生物医学图像与系统、图像特征分析、深度学习、计算机仿真等方面的研究。
可招收硕士研究生，欢迎对在相关领域攻读硕士感兴趣的同学联系我。同时也欢迎对科研感兴趣的本科同学与我联系。
主持：
中央高校基本科研业务费项目：高效图像特征识别算法的研究与开发----2018-01-01到2019-12-31
天津市自然科学基金项目：远程病理诊断中图像视觉感知编码与传输的关键技术研究----2019-04-01到2022-03-31
国家自然科学基金项目：融合认知强化压缩感知与深度学习的扩频通信信号拦截研究----2020-01-01到2022-12-31
参与：
天津市自然科学基金项目：面向安全驾驶的车联网关键技术研究----2021-10-01到2023-09-31
国家自然科学基金项目：智能反射表面辅助的共生无线电系统设计理论与资源优化研究----2022-01-01到2025-12-31
多次获全国高等学校电子信息类专业青年教师授课竞赛奖项
参与获得威斯尼斯人60555校级教学成果奖
获威斯尼斯人60555“优秀班导师”、“社会实践优秀指导教师标兵”等表彰
指导学生获本科/硕士优秀毕业设计/论文
期刊论文：
[1] Y. Jiang, R. Cui and F. Liu*, “Multi-resolutional human visual perception optimized pathology image progressive coding based on JPEG2000,” Signal Processing-Image Communication, vol. 115, article no. 116960, 2023.
[2] R. Cui, R. Yang, F. Liu* and H. Geng, “HD2A-Net: A novel dual gated attention network using comprehensive hybrid dilated convolutions for medical image segmentation,” Computers in Biology and Medicine, vol. 152, article no. 106384, 2022.
[3] R. Cui, R. Yang, F. Liu* and C. Cai, “N-Net: Lesion region segmentations using the generalized hybrid dilated convolutions for polyps in colonoscopy images,” Frontiers in Bioengineering and Biotechnology, vol. 10, article no. 963590, 2022.
[4] G. Sun, X. Ren, Z. Wang and F. Liu*, “Adaptive low-power wrist SpO2 monitoring system design using a multi-filtering scheme,” Biomedical Signal Processing and Control, vol. 81, article no. 104432, 2022.
[5] F. Liu* and Y. Jiang, “Knowledge-Enhanced Compressed Measurements for Detection of Frequency-Hopping Spread Spectrum Signals Based on Task-Specific Information and Deep Neural Networks,” Entropy, vol. 25, no. 1, article no. 11, 2022.
[6] W. Lin, S. Zhang, B. Liu, H. Zhang, H. Liu, J. Han and F. Liu*, “Optical Trapping and Manipulation of Massive Particles Based on Spatial Diffraction of a 45o Tilted Fiber Bragg Grating,” Optics Express, vol. 30, no. 26, pp. 46106-46120, 2022.
[7] 刘锋*, 张爽, 黄渝昂. 融合压缩采样与深度神经网络的直接序列扩频参数估计. 电讯技 术, 9: 1248-1253, 2022.
[8] F. Liu, G. Sun* and S. Zhang, "Adaptive Measurement and Decoding of Frequency-Hopping Spread Spectrum Signals Based on Knowledge Enhanced Compressed Sensing," in IEEE Communications Letters, vol. 26, no. 5, pp. 1155-1159, 2021.
[9] S. Zhang, F. Liu*, Y. Huang and X. Meng, “Adaptive Detection of Direct-Sequence Spread-Spectrum Signals Based on Knowledge-Enhanced Compressive Measurements and Artificial Neural Networks,” Sensors, vol. 21, no. 7, article no. 2538, April 2021.
[10] F. Liu*, E. L. Ahanonu, M. W. Marcellin, Y. Lin and A. Bilgin, “Visibility of Quantization Errors in Reversible JPEG2000,” Signal Processing: Image Communication, vol. 84, article no. 115812, 2020.
[11] S. Zhang and F. Liu*, “Infrared and visible image fusion based on non-subsampled shearlet transform, regional energy, and co-occurrence filtering,” Electronics Letters, vol. 56, no. 15, pp. 761-764, 2020.
[12] M. Khalid Khan Niazi*, Y. Lin, F. Liu, A. Ashok, M. W. Marcellin, G. Tozbikian, M. N. Gurcan, A. Bilgin, “Pathological image compression for big data image analysis: Application to hotspot detection in breast cancer,” Artificial Intelligence in Medicine, vol. 95, pp. 82-87, 2019.
[13] F. Liu*, M. W. Marcellin, N. A. Goodman and A. Bilgin, "Compressive Detection of Direct Sequence Spread Spectrum Signals," in IET Electronics Letters, vol. 54, no. 24, pp. 1379-1381, 2018.
[14] F. Liu, M. Hernández-Cabronero, V. Sanchez, M. W. Marcellin and A. Bilgin*, “The Current Role of Image Compression Standards in Medical Imaging,” Information, vol. 8, no. 4, article no. 131, 2017.
[15] A. Kwasinski*, M. Wu, A.I. Humayun, G. Ding, S. Lohan, F. Liu, D.A.T. Pizzo, et al., “What Is the Future of Signal Processing? Views across our community,” in IEEE Signal Processing Magazine, vol. 34, no. 6, pp. 14-25, 2017.
[16] F. Liu*, M. W. Marcellin, N. A. Goodman and A. Bilgin, “Compressive Sampling for Detection of Frequency-Hopping Spread Spectrum Signals,” in IEEE Transactions on Signal Processing, vol. 64, no. 21, pp. 5513-5524, 2016.
会议论文：
[1] Y. Jiang, F. Liu*, R. Cui, X. Zhang and X. Zhang, "Pathology Image Compression Based on JPEG2000, Multi-Resolutional Human Perception and the Region of Interest Predictions," 2022 Data Compression Conference (DCC), pp. 458-458, UT, USA, 2022.
[2] Y. Huang, X. Meng, S. Zhang and F. Liu*, “Adaptive Detection of Frequency-Hopping Spread Spectrum Signals Based on Compressed Measurements and Artificial Neural Networks,” IEEE Advanced Information Technology, Electronic and Automation Control Conference, Chongqing, China, pp. 271-277, 2021.
[3] F. Liu*, S. Zhang and S. Zhang, “Multi-Resolution Perception-Optimized Image Compression Based on JPEG2000 and Visibility Thresholds,” Proceedings of SPIE, vol. 11720, Twelfth International Conference on Graphics and Image Processing, pp. 117201N Xi’an, China, 2020.
[4] Y. Lin, F. Liu, M. Hernandez-Cabronero, E. Ahanonu, M. Marcellin, A. Bilgin and A. Ashok*, “Perception-Optimized Encoding for Visually Lossy Image Compression,” 2019 IEEE Data Compression Conference (DCC), pp. 592, 2019.
[5] F. Liu*, Y. Lin, M. Hernández-Cabronero, E. Ahanonu, M. W. Marcellin, A. Ashok and A. Bilgin, “A Visual Discrimination Model for JPEG2000 Compression,” 2018 IEEE Data Compression Conference (DCC), pp. 424, Snowbird, UT, USA, 2018.
[6] F. Liu, E. L. Ahanonu, M. W. Marcellin, Y. Lin, A. Ashok and A. Bilgin*, “Visibility Thresholding in Reversible JPEG2000 Compression,” 2017 IEEE Data Compression Conference (DCC), pp. 450, Snowbird, UT, 2017.
[7] F. Liu, Y. Lin, E. L. Ahanonu, M. W. Marcellin, A. Ashok, E. A. Krupinski and A. Bilgin*, “Visibility Thresholds for Visually Lossy JPEG2000,” Proceedings of SPIE, vol. 9971, Applications of Digital Image Processing XXXIX, pp. 99711P, San Diego, CA, 2016.
[8] F. Liu, M. W. Marcellin. N. A. Goodman and A. Bilgin*, “Compressive Detection of Multiple Frequency-hopping Spread Spectrum Signals,” 2014 IEEE Data Compression Conference (DCC), pp. 415, Snowbird, UT, 2014.
[9] F. Liu*, M. W. Marcellin, N. A. Goodman and A. Bilgin, “Compressive Sensing of Direct Sequence Spread Spectrum Signals,” Proceedings of SPIE, Compressive Sensing III, vol. 9109, pp. 91090A, Baltimore, MA, 2014.
[10] F. Liu*, M. W. Marcellin, N. A. Goodman and A. Bilgin, “Spread Spectrum Signal Detection from Compressive Measurements,” in Proceedings of 2013 International Telemetering Conference, Las Vegas, NV, 2013.
[11] F. Liu, M. W. Marcellin. N. A. Goodman and A. Bilgin*, “Compressive Detection of Frequency-Hopping Spread Spectrum Signals,” Proceedings of SPIE, vol. 8717, Compressive Sensing II, pp. 87170P, Baltimore, MA, 2013.
[12] F. Liu, Y. Kim, N. A. Goodman, A. Ashok and A. Bilgin*, “Compressive Sensing of Frequency-Hopping Spread Spectrum Signals,” Proceedings of SPIE, vol. 8365, Compressive Sensing, pp. 83650P, Baltimore, MA, 2012.
[13] A. Bilgin*, Y. Kim, F. Liu and M. S. Nadar, “Dictionary Design for Compressed Sensing MRI,” in Proceedings of 2010 Meeting of the International Society for Magnetic Resonance in Medicine, pp. 4887, Stockholm, Sweden, 2010.
等
线性代数、智能天线技术、多媒体通信技术等。
IEEE Member
SPIE Member
