Li Qiang
School
School of Microelectronics
Professional Title
Professor
Discipline
电路与系统
Contact Information
13820512683
liqiang@tju.edu.cn
92 Weijin Road, Nankai District, Tianjin, China
Education Background
- PhD| Tianjin University| Signal and information processing| 2003
- Master of Engineering| Taiyuan University of Technology| Circuits and systems| 2000
- Bachelor of Literature| Taiyuan University of Technology| English Language and Literature| 1997
- Bachelor Engineering| Taiyuan University of Technology| Electronic Engineering| 1997
Research Interests
- Medical image processing including temprature imaging for ultrasonic images, brain tumor segamentation for CT and MRI images, functional and structural connections for brain areas etc。
- Sound and music computation including source segmentation, classification and clustering, semantic analysis etc.
- High-intensity focus ultrasound thermal therapy
- Hyperspectral image super-resolution reconstruction
Courses
Positions & Employments
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2010.12-2019.12
School of International Education | Tianjin University | Chair of School Administrative Committee | Professor -
2016.12-2019.12
School of Microelectronics | Tianjin University | Professor -
2006.6-2010.12
International Cooperation Office | Tianjin University | Deputy Director | Associtate Professor -
2005.8-2016.12
School of Electronic Information Engineering | Tianjin University | Associate Professor, Professor -
2005.10-2006.9
Office of Information Industry | Ningxia Hui Autonomous Region | Assistant Director | Associate Professor -
2003.8-2005.7
School of Electronic Information Engineering | Tianjin University | Post-Doctoral Researcher
Academic Achievements
- Papers
- [1] [1]Liu, H., Huo, G., Li, Q., Guan, X., & Tseng, M. L. Multiscale lightweight 3D segmentation algorithm with attention mechanism: Brain tumor image segmentation[J]. Expert Systems with Applications, 2022. (SCI一区，IF=8.67)
- [2] [2]Liang Q, Li Q, Nie W, et al. Unsupervised Cross-media Graph Convolutional Network for 2D Image-based 3D Model Retrieval[J]. IEEE Transactions on Multimedia, 2022. (SCI一区，IF=8.18)
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- [3] [3]Liang Q, Li Q, Nie W. LD-GAN: Learning perturbations for adversarial defense based on GAN structure[J]. Signal Processing: Image Communication, 2022. (SCI二区，IF=3.45)
- [4] [4]Liang Q, Li Q, Nie W, et al. PAGN: perturbation adaption generation network for point cloud adversarial defense[J]. Multimedia Systems, 2022. (SCI四区，IF=2.60)
- [5] [5]Younis A, Qiang L, Nyatega C O, et al. Brain Tumor Analysis Using Deep Learning and VGG-16 Ensembling Learning Approaches[J]. Applied Sciences-Basel, 2022. (SCI四区，IF=2.84)
- [6] [6]Liang Q, Li Q, Nie W, et al. Principal views selection based on growing graph convolution network for multi-view 3D model recognition[J]. Applied Intelligence, 2022. (SCI二区，IF=5.02)
- [7] [7]Zhou Y, Qiang Li, et al. Automated classification of mild cognitive impairment by machine learning with hippocampus-related white matter network[J]. Frontiers in aging neuroscience, 2022. (SCI二区，IF=5.70)
- [8] [8]Guan X, Zhao H, Li Q. Estimation of playable piano fingering by pitch-difference fingering match model[J]. EURASIP Journal on Audio, Speech, and Music Processing, 2022. (SCI四区，IF=2.11)
- [9] [9]Wang Z, Li Q, Nie K, et al. A delay cell with duty-cycle correction and parasitic compensation for large array indirect time-of-flight CMOS image sensors[J]. Microelectronics Journal, 2022. (SCI三区，IF=1.99)
- [10] [10]Wu Y, Li Q, Wang I C. Adaptive Pneumonia Detection Algorithm based on Deep Learning[J]. Journal of Imaging Science & Technology, 2022. (SCI四区，IF=0.58)
- [11] [11]Liang Q, Li Q, Zhang L, et al. MHFP: Multi-view based hierarchical fusion pooling method for 3D shape recognition[J]. Pattern Recognition Letters, 2021. (SCI三区，IF=4.76)
- [12] [12]Liang Q, Li Q, Yang S. LP-GAN: Learning perturbations based on generative adversarial networks for point cloud adversarial attacks[J]. Image and Vision Computing, 2022. (SCI三区，IF=3.86)
- [13] [13]Zhou Y, Qiang Li, et al. Hippocampus-and thalamus-related fibe-specific white matter reductions in mild cognitive impairment[J]. Cerebral Cortex, 2021. (SCI一区，IF=4.86)
- [14] [14]Liang Q, Wang Y, Nie W, et al. MVCLN: multi-view convolutional LSTM network for cross-media 3D shape recognition[J]. IEEE Access, 2020. (SCI三区，IF=3.48)
- [15] [15]Yang K, Li Q, Liu H L, et al. Frequency-domain CBE imaging for ultrasound localization of the HIFU focal spot: a feasibility study[J]. Scientific Reports, 2020. (SCI三区，IF=5)
- [16] [16]Yan D, Li Q, Lin C W, et al. Clinical evaluation of duchenne muscular dystrophy severity using ultrasound small-window entropy imaging[J]. Entropy, 2020. (SCI三区，IF=2.74)
- [17] [17]Fang F, Fang J, Li Q, et al. Ultrasound assessment of hepatic steatosis by using the double Nakagami distribution: a feasibility study[J]. Diagnostics, 2020. (SCI四区，IF=3.99)
- [18] [18]Zhu C, Chang Y Z, Li Q. Accurate stereo matching based on weighted nonlocal aggregation for enhanced disparity refinement[J]. Journal of Electronic Imaging, 2018. (SCI四区，IF=0.83)
- [19] [19]Zhang L, Li Q, Wang C Y, et al. Ultrasound single-phase CBE imaging for monitoring radiofrequency ablation[J]. International Journal of Hyperthermia, 2018. (SCI二区，IF=3.75)
- [20] [20]Guan X, Du H, Li Q, et al. Combination of Window-Modulated Ultrasound Nakagami Imaging and Gaussian Approximation for Radiofrequency Ablation Monitoring: An In Vitro Study[J]. Journal of Medical and Biological Engineering, 2018. (SCI四区，IF=2.21)
- Books
- [1] 信号检测与估计——理论与应用