Gongbo Liang

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 39

Top Topics

Text Generation

Disease Diagnosis

Top Venues

IEEE J. Biomed. Health Informatics

Publications

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 (2024)
Gongbo Liang, Mohammad Salem Atoum, Xin Xing, Izzat Alsmadi
Benchmark assessment for the DeepSpeed acceleration library on image classification. Clust. Comput. 27 (3) (2024)
Ramya Jonnala, Gongbo Liang, Jeong Yang, Izzat Alsmadi
Using Large Language Models in Public Transit Systems, San Antonio as a case study. CoRR (2024)
Guangming Xing, Gongbo Liang, Tawfiq Salem
Interactive Learning Modules for Fostering Secure Coding Proficiency in Introductory Programming Courses. SIGCSE (2) (2024)
Guangming Xing, Tawfiq Salem, Gongbo Liang
LEARNDB: A Comprehensive Toolkit for Database Education. SIGCSE (2) (2024)
Janet Zulu, Bonian Han, Izzat Alsmadi, Gongbo Liang
Enhancing Machine Learning Based SQL Injection Detection Using Contextualized Word Embedding. ACM Southeast Regional Conference (2024)
Gongbo Liang, Jesus Guerrero, Izzat Alsmadi
Mutation-Based Adversarial Attacks on Neural Text Detectors. CoRR (2023)
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) (2023)
Liangliang Liu, Pei Zhang, Gongbo Liang, Shufeng Xiong, Jianxin Wang, Guang Zheng
A spatiotemporal correlation deep learning network for brain penumbra disease. Neurocomputing 520 (2023)
Jesus Guerrero, Gongbo Liang, Izzat Alsmadi
A Mutation-based Text Generation for Adversarial Machine Learning Applications. CoRR (2022)
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)
Eric Xing, Liangliang Liu, Xin Xing, Yunni Qu, Nathan Jacobs, Gongbo Liang
Neural Network Decision-Making Criteria Consistency Analysis via Inputs Sensitivity. ICPR (2022)
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) (2022)
Liangliang Liu, Ying Wang, Jing Chang, Pei Zhang, Gongbo Liang, Hui Zhang
LLRHNet: Multiple Lesions Segmentation Using Local-Long Range Features. Frontiers Neuroinformatics 16 (2022)
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) (2022)
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)
Gongbo Liang, Izzat Alsmadi
Benchmark Assessment for DeepSpeed Optimization Library. CoRR (2022)
Yu Zhang, Gongbo Liang, Nathan Jacobs
Dynamic Feature Alignment for Semi-supervised Domain Adaptation. BMVC (2021)
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)
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)
Yu Zhang, Gongbo Liang, Nathan Jacobs
Dynamic Feature Alignment for Semi-supervised Domain Adaptation. CoRR (2021)
Yu Zhang, Gongbo Liang, Tawfiq Salem, Nathan Jacobs
Defense-PointNet: Protecting PointNet Against Adversarial Attacks. CoRR (2020)
Yu Zhang, Xiaoqin Wang, Hunter Blanton, Gongbo Liang, Xin Xing, Nathan Jacobs
2D Convolutional Neural Networks for 3D Digital Breast Tomosynthesis Classification. CoRR (2020)
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)
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 (2020)
Gongbo Liang, Yu Zhang, Xiaoqin Wang, Nathan Jacobs
Improved Trainable Calibration Method for Neural Networks. BMVC (2020)
Gongbo Liang, Connor Greenwell, Yu Zhang, Xiaoqin Wang, Ramakanth Kavuluru, Nathan Jacobs
Weakly-Supervised Feature Learning via Text and Image Matching. CoRR (2020)
Gongbo Liang, Yu Zhang, Xiaoqin Wang, Nathan Jacobs
Improved Trainable Calibration Method for Neural Networks on Medical Imaging Classification. CoRR (2020)
Yu Zhang, Gongbo Liang, Nathan Jacobs, Xiaoqin Wang
Unsupervised Domain Adaptation for Mammogram Image Classification: A Promising Tool for Model Generalization. CoRR (2020)
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 (2020)
Yu Zhang, Gongbo Liang, Yuanyuan Su, Nathan Jacobs
Multi-Branch Attention Networks for Classifying Galaxy Clusters. ICPR (2020)
Gongbo Liang, Xiaoqin Wang, Yu Zhang, Xin Xing, Hunter Blanton, Tawfiq Salem, Nathan Jacobs
Joint 2D-3D Breast Cancer Classification. CoRR (2020)
Gongbo Liang, Xiaoqin Wang, Yu Zhang, Nathan Jacobs
. EMBC (2020)
Yu Zhang, Gongbo Liang, Tawfiq Salem, Nathan Jacobs
Defense-PointNet: Protecting PointNet Against Adversarial Attacks. IEEE BigData (2019)
Gongbo Liang, Xiaoqin Wang, Yu Zhang, Xin Xing, Hunter Blanton, Tawfiq Salem, Nathan Jacobs
Joint 2D-3D Breast Cancer Classification. BIBM (2019)
Yu Zhang, Xiaoqin Wang, Hunter Blanton, Gongbo Liang, Xin Xing, Nathan Jacobs
2D Convolutional Neural Networks for 3D Digital Breast Tomosynthesis Classification. BIBM (2019)
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)
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)
Gongbo Liang, Qi Li, Xiangui Kang
Pedestrian detection via a leg-driven physiology framework. ICIP (2016)
Qi Li, Gongbo Liang, Yongyi Gong
A geometric framework for stop sign detection. ChinaSIP (2015)