Manhattan-distance IOU loss for fast and accurate bounding box regression and object detection. - Yanyun Shen; Feizhao Zhang; Di Liu 015; Weihua Pu; Qingling Zhang 002 (Neurocomputing, 2022)

OmniBal: Towards Fast Instruct-tuning for Vision-Language Models via Omniverse Computation Balance. - Yongqiang Yao; Jingru Tan; Jiahao Hu; Feizhao Zhang; Xin Jin; Bo Li; Ruihao Gong; Pengfei Liu (CoRR, 2024)

Hierarchical Balance Packing: Towards Efficient Supervised Fine-tuning for Long-Context LLM. - Yongqiang Yao; Jingru Tan; Kaihuan Liang; Feizhao Zhang; Yazhe Niu; Jiahao Hu; Ruihao Gong; Dahua Lin; Ningyi Xu (CoRR, 2025)