Estimating CT from MR Abdominal Images Using Novel Generative Adversarial Networks. - Pengjiang Qian; Ke Xu; Tingyu Wang; Qiankun Zheng; Huan Yang; Atallah Baydoun; Junqing Zhu; Bryan J. Traughber; Raymond F. Muzic Jr. (J. Grid Comput., 2020)

A Novel Conversion Method from X-ray Image to MR Image Using Deep Network and Auto-Encoding Technology. - Qiankun Zheng; Yang Ding; Leyuan Zhou; Chao Fan; Pengjiang Qian (J. Medical Imaging Health Informatics, 2021)

Transforming UTE-mDixon MR Abdomen-Pelvis Images Into CT by Jointly Leveraging Prior Knowledge and Partial Supervision. - Pengjiang Qian; Jiamin Zheng; Qiankun Zheng; Yuan Liu 021; Tingyu Wang; Rose Al Helo; Atallah Baydoun; Norbert Avril; Rodney J. Ellis; Harry Friel; Melanie S. Traughber; Ajit Devaraj; et al. (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

A Transfer Deep Generative Adversarial Network Model to Synthetic Brain CT Generation from MR Images. - Yi Gu; Qiankun Zheng (Wirel. Commun. Mob. Comput., 2021)

Visual Coherence Loss for Coherent and Visually Grounded Story Generation. - Xudong Hong 002; Vera Demberg; Asad B. Sayeed; Qiankun Zheng; Bernt Schiele (RepL4NLP@ACL, 2023)

LCT-1 at SemEval-2023 Task 10: Pre-training and Multi-task Learning for Sexism Detection and Classification. - Konstantin Chernyshev; Ekaterina Garanina; Duygu Bayram; Qiankun Zheng; Lukas Edman (SemEval@ACL, 2023)

CGEDN: Approximation of Graph Edit Distance with Path Generation via Learning Node Matching. - Liu Yang; Qiankun Zheng; Zidong Wang (ICASSP, 2025)