Real Time 6.4 Tbps (8×800G) SHCD Transmission through 1+8 Multicore Fiber for Co-Packaged Optical-IO Switch Applications. - Tao Gui; Haoze Du; Keshuang Zheng; Juntao Cao; Shuai Yuan; Chen Yang; Ming Tang 005; Liangchuan Li (OFC, 2022)

24 km High-Performance Raman Distributed Temperature Sensing Using Low Water Peak Fiber and Optimized Denoising Neural Network. - Hao Wu 091; Haoze Du; Can Zhao 002; Ming Tang 005 (Sensors, 2022)

CLISAR-Net: A Deformation-Robust ISAR Image Classification Network Using Contrastive Learning. - Peishuang Ni; Yanyang Liu; Hao Pei; Haoze Du; Haolin Li; Gang Xu 002 (Remote. Sens., 2023)

LLM-generated Feedback in Real Classes and Beyond: Perspectives from Students and Instructors. - Qinjin Jia; Jialin Cui; Haoze Du; M. Parvez Rashid; Ruijie Xi; Ruochi Li; Edward F. Gehringer (EDM, 2024)

Interactive Rubric Generator for Instructor's Assessment Using Prompt Engineering and Large Language Models. - Haoze Du; Parvez Rashid; Qinjin Jia; Edward F. Gehringer (FIE, 2024)

Common Path Beam Angle Measurement for Free Space Optical Communication System. - Qirun Fan; Yansheng Zou; Haoze Du; Xueyuan Ao; Qirui Xu; Xiaoxiao Dai; Qi Yang 008; Ming Tang 005; Chen Liu (OFC, 2024)

Harnessing large language models to auto-evaluate the student project reports. - Haoze Du; Qinjin Jia; Edward F. Gehringer; Xianfang Wang (Comput. Educ. Artif. Intell., 2024)

Objective Metrics for Evaluating Large Language Models Using External Data Sources. - Haoze Du; Richard Li; Edward F. Gehringer (EDM, 2025)

CT-Semi-net: Segmentation of Infected Areas in Lung CT Images Based on Attention Mechanism and Semi-supervised Learning. - Haoze Du; Shumei Hou; Xiaolei Wang; Bin Sun; Dongfang Zhang; Junliang Du; Qingkai Hu; Weifeng Guo; Xianfang Wang (ISBRA (2), 2025)

Human-in-the-Loop Systems for Adaptive Learning Using Generative AI. - Bhavishya Tarun; Haoze Du; Dinesh Kannan; Edward F. Gehringer (CoRR, 2025)