A Deep Neural Network Based on Prior-Driven and Structural Preserving for SAR Image Despeckling. - Cong Lin 004; Chenghao Qiu; Haoyu Jiang; Lilan Zou (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

A despeckling method for ultrasound images utilizing content-aware prior and attention-driven techniques. - Chenghao Qiu; Zifan Huang; Cong Lin 004; Guodao Zhang; Shenpeng Ying (Comput. Biol. Medicine, 2023)

DTCNet: Transformer-CNN Distillation for Super-Resolution of Remote Sensing Image. - Cong Lin 004; Xin Mao; Chenghao Qiu; Lilan Zou (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

A good teacher learns while teaching: Heterogeneous architectural knowledge distillation for fast MRI reconstruction. - Chenghao Qiu; Xian-Shi Zhang; Yongjie Li 001 (Knowl. Based Syst., 2025)

ACGNet: An Alternating Conjugate Gradient Optimization-Based Neural Network for SAR Image Despeckling. - Xin Mao; Ying Liu; Chenghao Qiu; Cong Lin 004 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

Fast and Low-Cost Genomic Foundation Models via Outlier Removal. - Haozheng Luo; Chenghao Qiu; Maojiang Su; Zhihan Zhou 001; Zoe Mehta; Guo Ye; Jerry Yao-Chieh Hu; Han Liu 001 (CoRR, 2025)

GenoArmory: A Unified Evaluation Framework for Adversarial Attacks on Genomic Foundation Models. - Haozheng Luo; Chenghao Qiu; Yimin Wang; Shang Wu; Jiahao Yu 001; Han Liu 001; Binghui Wang; Yan Chen 004 (CoRR, 2025)