"One-Shot" Super-Resolution via Backward Style Transfer for Fast High-Resolution Style Transfer. - Jikang Cheng; Zhen Han 002; Zhongyuan Wang 001; Liang Chen 026 (IEEE Signal Process. Lett., 2021)

Promoting adversarial transferability with enhanced loss flatness. - Yan Fang; Zhongyuan Wang 001; Jikang Cheng; Ruoxi Wang; Chao Liang 001 (ICME, 2023)

Stylized image denoising via noise style transfer and Quasi Siamese network. - Jikang Cheng; Zhen Han 002; Zhongyuan Wang 001 (Signal Process. Image Commun., 2023)

Can We Leave Deepfake Data Behind in Training Deepfake Detector? - Jikang Cheng; Zhiyuan Yan 002; Ying Zhang 021; Yuhao Luo; Zhongyuan Wang 001; Chen Li (NeurIPS, 2024)

DePatch: Towards Robust Adversarial Patch for Evading Person Detectors in the Real World. - Jikang Cheng; Ying Zhang 021; Zhongyuan Wang 001; Zou Qin; Chen Li (CoRR, 2024)

IDRetracor: Towards Visual Forensics Against Malicious Face Swapping. - Jikang Cheng; Jiaxin Ai; Zhen Han 002; Chao Liang 001; Qin Zou 001; Zhongyuan Wang 001; Qian Wang 002 (CoRR, 2024)

MotionLLaMA: A Unified Framework for Motion Synthesis and Comprehension. - Zeyu Ling; Bo Han; Shiyang Li; Hongdeng Shen; Jikang Cheng; Changqing Zou (CoRR, 2024)

Stacking Brick by Brick: Aligned Feature Isolation for Incremental Face Forgery Detection. - Jikang Cheng; Zhiyuan Yan 002; Ying Zhang 021; Li Hao; Jiaxin Ai; Qin Zou 001; Chen Li; Zhongyuan Wang 001 (CVPR, 2025)

Adversarial intensity awareness for robust object detection. - Jikang Cheng; Baojin Huang; Yan Fang; Zhen Han 002; Zhongyuan Wang 001 (Comput. Vis. Image Underst., 2025)

ED4: Explicit Data-Level Debiasing for Deepfake Detection. - Jikang Cheng; Ying Zhang 021; Qin Zou 001; Zhiyuan Yan 002; Chao Liang 001; Zhongyuan Wang 001; Chen Li (IEEE Trans. Image Process., 2025)