On Design Challenges of an Endpoint Flow Association Optimization Service in a Multi-Provider Wireless Heterogeneous Network. - Jianwei Liu; Xin Xing 002; Kang Chen; James Martin 001 (ICC, 2018)

Improving Wireless Network Performance under MPTCP based Multipath Access. - Kang Chen; Xin Xing 002; Mijanur Rahaman Palash; Jianwei Liu; James Martin 001 (LCN, 2018)

Joint 2D-3D Breast Cancer Classification. - Gongbo Liang; Xiaoqin Wang; Yu Zhang 094; Xin Xing 002; Hunter Blanton; Tawfiq Salem; Nathan Jacobs (BIBM, 2019)

2D Convolutional Neural Networks for 3D Digital Breast Tomosynthesis Classification. - Yu Zhang 094; Xiaoqin Wang; Hunter Blanton; Gongbo Liang; Xin Xing 002; Nathan Jacobs (BIBM, 2019)

Network-Side Multipath Access Management in Wireless Networks With Software-Defined Networking. - Kang Chen; Xin Xing 002; Mijanur Rahaman Palash; Jianwei Liu; James Martin 001 (IEEE Trans. Veh. Technol., 2019)

Dynamic Image for 3D MRI Image Alzheimer's Disease Classification. - Xin Xing 002; Gongbo Liang; Hunter Blanton; Muhammad Usman Rafique; Chris Wang; Ai-Ling Lin; Nathan Jacobs (ECCV Workshops (1), 2020)

Alzheimer's Disease Classification Using 2D Convolutional Neural Networks. - Gongbo Liang; Xin Xing 002; Liangliang Liu 001; Yu Zhang 094; Qi Ying; Ai-Ling Lin; Nathan Jacobs (EMBC, 2021)

Multi-Modal Data Analysis for Alzheimer's Disease Diagnosis: An Ensemble Model Using Imagery and Genetic Features. - Qi Ying; Xin Xing 002; Liangliang Liu 001; Ai-Ling Lin; Nathan Jacobs; Gongbo Liang (EMBC, 2021)

AssocFormer: Association Transformer for Multi-label Classification. - Xin Xing 002; Chong Peng; Yu Zhang 094; Ai-Ling Lin; Nathan Jacobs (BMVC, 2022)

Neural Network Decision-Making Criteria Consistency Analysis via Inputs Sensitivity. - Eric Xing; Liangliang Liu 001; Xin Xing 002; Yunni Qu; Nathan Jacobs; Gongbo Liang (ICPR, 2022)

Advit: Vision Transformer On Multi-Modality Pet Images For Alzheimer Disease Diagnosis. - Xin Xing 002; Gongbo Liang; Yu Zhang 094; Subash Khanal; Ai-Ling Lin; Nathan Jacobs (ISBI, 2022)

Causality for Inherently Explainable Transformers: CAT-XPLAIN. - Subash Khanal; Benjamin Brodie; Xin Xing 002; Ai-Ling Lin; Nathan Jacobs (CoRR, 2022)

Contrastive Cross-Modal Pre-Training: A General Strategy for Small Sample Medical Imaging. - Gongbo Liang; Connor Greenwell; Yu Zhang 094; Xin Xing 002; Xiaoqin Wang; Ramakanth Kavuluru; Nathan Jacobs (IEEE J. Biomed. Health Informatics, 2022)

LD-SDM: Language-Driven Hierarchical Species Distribution Modeling. - Srikumar Sastry; Xin Xing 002; Aayush Dhakal; Subash Khanal; Adeel Ahmad; Nathan Jacobs (CoRR, 2023)

Improving Medical Imaging Model Calibration through Probabilistic Embedding. - Bonian Han; Yuktha Priya Masupalli; Xin Xing 002; Gongbo Liang (IEEE Big Data, 2024)

Vision-Language Pseudo-Labels for Single-Positive Multi-Label Learning. - Xin Xing 002; Zhexiao Xiong; Abby Stylianou; Srikumar Sastry; Liyu Gong; Nathan Jacobs (CVPR Workshops, 2024)

Unveiling Roadway Hazards: Enhancing Fatal Crash Risk Estimation Through Multiscale Satellite Imagery and Self-Supervised Cross-Matching. - Gongbo Liang; Janet Zulu; Xin Xing 002; Nathan Jacobs (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

Benchmark assessment for the DeepSpeed acceleration library on image classification. - Gongbo Liang; Mohammed Salem Atoum; Xin Xing 002; Izzat Alsmadi (Clust. Comput., 2024)

Mixed-View Panorama Synthesis using Geospatially Guided Diffusion. - Zhexiao Xiong; Xin Xing 002; Scott Workman; Subash Khanal; Nathan Jacobs (Trans. Mach. Learn. Res., 2025)