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2020 – today
- 2024
[j8]Gongbo Liang, Mohammad Salem Atoum
, Xin Xing, Izzat Alsmadi:
Benchmark assessment for the DeepSpeed acceleration library on image classification. Clust. Comput. 27(3): 2959-2970 (2024)- [j7]Gongbo Liang, Janet Zulu, Xin Xing, Nathan Jacobs:
Unveiling Roadway Hazards: Enhancing Fatal Crash Risk Estimation Through Multiscale Satellite Imagery and Self-Supervised Cross-Matching. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 535-546 (2024) - [j6]Liangliang Liu, Jinpu Xie, Jing Chang, Zhihong Liu, Tong Sun, Hongbo Qiao, Gongbo Liang, Wei Guo:
H-Net: Heterogeneous Neural Network for Multi-Classification of Neuropsychiatric Disorders. IEEE J. Biomed. Health Informatics 28(9): 5509-5518 (2024) - [c20]Janet Zulu, Bonian Han, Izzat Alsmadi, Gongbo Liang:
Enhancing Machine Learning Based SQL Injection Detection Using Contextualized Word Embedding. ACM Southeast Regional Conference 2024: 211-216 - [c19]Guangming Xing, Gongbo Liang, Tawfiq Salem:
Interactive Learning Modules for Fostering Secure Coding Proficiency in Introductory Programming Courses. SIGCSE (2) 2024: 1859-1860 - [c18]Guangming Xing, Tawfiq Salem, Gongbo Liang:
LEARNDB: A Comprehensive Toolkit for Database Education. SIGCSE (2) 2024: 1861-1862 - [i13]Ramya Jonnala, Gongbo Liang, Jeong Yang, Izzat Alsmadi:
Using Large Language Models in Public Transit Systems, San Antonio as a case study. CoRR abs/2407.11003 (2024) - 2023
- [j5]Liangliang Liu, Pei Zhang, Gongbo Liang, Shufeng Xiong, Jianxin Wang, Guang Zheng:
A spatiotemporal correlation deep learning network for brain penumbra disease. Neurocomputing 520: 274-283 (2023) - [j4]Liangliang Liu, Jing Chang, Gongbo Liang, Shufeng Xiong:
Simulated Quantum Mechanics-Based Joint Learning Network for Stroke Lesion Segmentation and TICI Grading. IEEE J. Biomed. Health Informatics 27(7): 3372-3383 (2023) - [i12]Gongbo Liang, Jesus Guerrero, Izzat Alsmadi:
Mutation-Based Adversarial Attacks on Neural Text Detectors. CoRR abs/2302.05794 (2023) - 2022
- [j3]Gongbo Liang, Halemane Ganesh, Dylan Steffe, Liangliang Liu, Nathan Jacobs, Jie Zhang:
Development of CNN models for the enteral feeding tube positioning assessment on a small scale data set. BMC Medical Imaging 22(1): 52 (2022) - [j2]Liangliang Liu, Ying Wang, Jing Chang, Pei Zhang, Gongbo Liang, Hui Zhang:
LLRHNet: Multiple Lesions Segmentation Using Local-Long Range Features. Frontiers Neuroinformatics 16: 859973 (2022) - [j1]Gongbo Liang, Connor Greenwell, Yu Zhang, Xin Xing, Xiaoqin Wang, Ramakanth Kavuluru, Nathan Jacobs:
Contrastive Cross-Modal Pre-Training: A General Strategy for Small Sample Medical Imaging. IEEE J. Biomed. Health Informatics 26(4): 1640-1649 (2022) - [c17]Yunni Qu, David Yan, Eric Xing, Fengbo Zheng, Jie Zhang, Liangliang Liu, Gongbo Liang:
Beware the Black-Box of Medical Image Generation: an Uncertainty Analysis by the Learned Feature Space. EMBC 2022: 3849-3853 - [c16]Eric Xing, Liangliang Liu, Xin Xing, Yunni Qu, Nathan Jacobs, Gongbo Liang:
Neural Network Decision-Making Criteria Consistency Analysis via Inputs Sensitivity. ICPR 2022: 2328-2334 - [c15]Xin Xing, Gongbo Liang, Yu Zhang, Subash Khanal, Ai-Ling Lin, Nathan Jacobs:
Advit: Vision Transformer On Multi-Modality Pet Images For Alzheimer Disease Diagnosis. ISBI 2022: 1-4 - [i11]Gongbo Liang, Izzat Alsmadi:
Benchmark Assessment for DeepSpeed Optimization Library. CoRR abs/2202.12831 (2022) - [i10]Jesus Guerrero, Gongbo Liang, Izzat Alsmadi:
A Mutation-based Text Generation for Adversarial Machine Learning Applications. CoRR abs/2212.11808 (2022) - 2021
- [c14]Yu Zhang, Gongbo Liang, Nathan Jacobs:
Dynamic Feature Alignment for Semi-supervised Domain Adaptation. BMVC 2021: 211 - [c13]Gongbo Liang, Xin Xing, Liangliang Liu, Yu Zhang, Qi Ying, Ai-Ling Lin, Nathan Jacobs:
Alzheimer's Disease Classification Using 2D Convolutional Neural Networks. EMBC 2021: 3008-3012 - [c12]Qi Ying, Xin Xing, Liangliang Liu, Ai-Ling Lin, Nathan Jacobs, Gongbo Liang:
Multi-Modal Data Analysis for Alzheimer's Disease Diagnosis: An Ensemble Model Using Imagery and Genetic Features. EMBC 2021: 3586-3591 - [i9]Yu Zhang, Gongbo Liang, Nathan Jacobs:
Dynamic Feature Alignment for Semi-supervised Domain Adaptation. CoRR abs/2110.09641 (2021) - 2020
- [c11]Gongbo Liang, Yu Zhang, Xiaoqin Wang, Nathan Jacobs:
Improved Trainable Calibration Method for Neural Networks. BMVC 2020 - [c10]Xin Xing, Gongbo Liang, Hunter Blanton, Muhammad Usman Rafique, Chris Wang, Ai-Ling Lin, Nathan Jacobs:
Dynamic Image for 3D MRI Image Alzheimer's Disease Classification. ECCV Workshops (1) 2020: 355-364 - [c9]Gongbo Liang, Xiaoqin Wang, Yu Zhang, Nathan Jacobs:
Weakly-Supervised Self-Training for Breast Cancer Localization*. EMBC 2020: 1124-1127 - [c8]Yu Zhang, Gongbo Liang, Yuanyuan Su, Nathan Jacobs:
Multi-Branch Attention Networks for Classifying Galaxy Clusters. ICPR 2020: 9643-9649 - [i8]Yu Zhang, Gongbo Liang, Tawfiq Salem, Nathan Jacobs:
Defense-PointNet: Protecting PointNet Against Adversarial Attacks. CoRR abs/2002.11881 (2020) - [i7]Yu Zhang, Xiaoqin Wang, Hunter Blanton, Gongbo Liang, Xin Xing, Nathan Jacobs:
2D Convolutional Neural Networks for 3D Digital Breast Tomosynthesis Classification. CoRR abs/2002.12314 (2020) - [i6]Gongbo Liang, Xiaoqin Wang, Yu Zhang, Xin Xing, Hunter Blanton, Tawfiq Salem, Nathan Jacobs:
Joint 2D-3D Breast Cancer Classification. CoRR abs/2002.12392 (2020) - [i5]Yu Zhang, Gongbo Liang, Nathan Jacobs, Xiaoqin Wang:
Unsupervised Domain Adaptation for Mammogram Image Classification: A Promising Tool for Model Generalization. CoRR abs/2003.01111 (2020) - [i4]Gongbo Liang, Yu Zhang, Xiaoqin Wang, Nathan Jacobs:
Improved Trainable Calibration Method for Neural Networks on Medical Imaging Classification. CoRR abs/2009.04057 (2020) - [i3]Gongbo Liang, Connor Greenwell, Yu Zhang, Xiaoqin Wang, Ramakanth Kavuluru, Nathan Jacobs:
Weakly-Supervised Feature Learning via Text and Image Matching. CoRR abs/2010.03060 (2020) - [i2]Xin Xing, Gongbo Liang, Hunter Blanton, Muhammad Usman Rafique, Chris Wang, Ai-Ling Lin, Nathan Jacobs:
Dynamic Image for 3D MRI Image Alzheimer's Disease Classification. CoRR abs/2012.00119 (2020) - [i1]Gongbo Liang, Yuanyuan Su, Sheng-Chieh Lin, Yu Zhang, Yuanyuan Zhang, Nathan Jacobs:
Optical Wavelength Guided Self-Supervised Feature Learning For Galaxy Cluster Richness Estimate. CoRR abs/2012.02368 (2020)
2010 – 2019
- 2019
- [c7]Gongbo Liang, Xiaoqin Wang, Yu Zhang, Xin Xing, Hunter Blanton, Tawfiq Salem, Nathan Jacobs:
Joint 2D-3D Breast Cancer Classification. BIBM 2019: 692-696 - [c6]Yu Zhang, Xiaoqin Wang, Hunter Blanton, Gongbo Liang, Xin Xing, Nathan Jacobs:
2D Convolutional Neural Networks for 3D Digital Breast Tomosynthesis Classification. BIBM 2019: 1013-1017 - [c5]Yu Zhang, Gongbo Liang, Tawfiq Salem, Nathan Jacobs:
Defense-PointNet: Protecting PointNet Against Adversarial Attacks. IEEE BigData 2019: 5654-5660 - [c4]Gongbo Liang, Sajjad Fouladvand, Jie Zhang, Michael A. Brooks, Nathan Jacobs, Jin Chen:
GANai: Standardizing CT Images using Generative Adversarial Network with Alternative Improvement. ICHI 2019: 1-11 - 2018
- [c3]Gongbo Liang, Jie Zhang, Michael A. Brooks, Jessica Howard, Jin Chen:
Enhancing Radiomic Features of CT Images using Generative Adversarial Network with Alternative Improvement. AMIA 2018 - 2016
- [c2]Gongbo Liang, Qi Li, Xiangui Kang:
Pedestrian detection via a leg-driven physiology framework. ICIP 2016: 2926-2930 - 2015
- [c1]Qi Li, Gongbo Liang, Yongyi Gong:
A geometric framework for stop sign detection. ChinaSIP 2015: 258-262
Coauthor Index
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last updated on 2024-10-07 21:14 CEST by the dblp team
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