Tan, Jingru

6 publications

NeurIPS 2025 Hierachical Balance Packing: Towards Efficient Supervised Fine-Tuning for Long-Context LLM Yongqiang Yao, Jingru Tan, Kaihuan Liang, Feizhao Zhang, Jiahao Hu, Shuo Wu, Yazhe Niu, Ruihao Gong, Dahua Lin, Ningyi Xu

ICML 2025 OmniBal: Towards Fast Instruction-Tuning for Vision-Language Models via Omniverse Computation Balance Yongqiang Yao, Jingru Tan, Feizhao Zhang, Jiahao Hu, Yazhe Niu, Jin Xin, Bo Li, Pengfei Liu, Ruihao Gong, Dahua Lin, Ningyi Xu

CVPR 2024 From Isolated Islands to Pangea: Unifying Semantic Space for Human Action Understanding Yong-Lu Li, Xiaoqian Wu, Xinpeng Liu, Zehao Wang, Yiming Dou, Yikun Ji, Junyi Zhang, Yixing Li, Xudong Lu, Jingru Tan, Cewu Lu

CVPR 2022 Equalized Focal Loss for Dense Long-Tailed Object Detection Bo Li, Yongqiang Yao, Jingru Tan, Gang Zhang, Fengwei Yu, Jianwei Lu, Ye Luo

CVPR 2021 Equalization Loss V2: A New Gradient Balance Approach for Long-Tailed Object Detection Jingru Tan, Xin Lu, Gang Zhang, Changqing Yin, Quanquan Li

CVPR 2021 RefineMask: Towards High-Quality Instance Segmentation with Fine-Grained Features Gang Zhang, Xin Lu, Jingru Tan, Jianmin Li, Zhaoxiang Zhang, Quanquan Li, Xiaolin Hu