YOLOv4-object: an Efficient Model and Method for Object Discovery. - Mang Ning; Yao Lu; Wenyuan Hou; Mihhail Matskin (COMPSAC, 2021)

SeeFar: Vehicle Speed Estimation and Flow Analysis from a Moving UAV. - Mang Ning; Xiaoliang Ma; Yao Lu; Simone Calderara; Rita Cucchiara (ICIAP (3), 2022)

METRIC: Toward a Drone-based Cyber-Physical Traffic Management System. - Xiaoliang Ma; Xinyu Liang; Mang Ning; Andrei Radu (SMC, 2022)

Automated Emotional Valence Estimation in Infants with Stochastic and Strided Temporal Sampling. - Mang Ning; Itir Önal; Daniel S. Messinger; Jeffrey F. Cohn; Albert Ali Salah (ACII, 2023)

Input Perturbation Reduces Exposure Bias in Diffusion Models. - Mang Ning; Enver Sangineto; Angelo Porrello; Simone Calderara; Rita Cucchiara (ICML, 2023)

Elucidating the Exposure Bias in Diffusion Models. - Mang Ning; Mingxiao Li 002; Jianlin Su; Albert Ali Salah; Itir Önal Ertugrul (ICLR, 2024)

Representation Learning and Identity Adversarial Training for Facial Behavior Understanding. - Mang Ning; Albert Ali Salah; Itir Önal Ertugrul (CoRR, 2024)

DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space. - Mang Ning; Mingxiao Li 002; Jianlin Su; Haozhe Jia; Lanmiao Liu; Martin Benes 001; Albert Ali Salah; Itir Önal Ertugrul (CoRR, 2024)

Consistent Story Generation with Asymmetry Zigzag Sampling. - Mingxiao Li 002; Mang Ning; Marie-Francine Moens (CoRR, 2025)