Equalization Loss for Large Vocabulary Instance Segmentation. - Jingru Tan; Changbao Wang; Quanquan Li; Junjie Yan (CoRR, 2019)

Equalization Loss for Long-Tailed Object Recognition. - Jingru Tan; Changbao Wang; Buyu Li; Quanquan Li; Wanli Ouyang; Changqing Yin; Junjie Yan (CVPR, 2020)

1st Place Solution of LVIS Challenge 2020: A Good Box is not a Guarantee of a Good Mask. - Jingru Tan; Gang Zhang; Hanming Deng; Changbao Wang; Lewei Lu; Quanquan Li; Jifeng Dai (CoRR, 2020)

Equalization Loss v2: A New Gradient Balance Approach for Long-tailed Object Detection. - Jingru Tan; Xin Lu; Gang Zhang; Changqing Yin; Quanquan Li (CoRR, 2020)

Equalization Loss v2: A New Gradient Balance Approach for Long-Tailed Object Detection. - Jingru Tan; Xin Lu 002; Gang Zhang; Changqing Yin; Quanquan Li (CVPR, 2021)

RefineMask: Towards High-Quality Instance Segmentation With Fine-Grained Features. - Gang Zhang; Xin Lu 002; Jingru Tan; Jianmin Li 001; Zhaoxiang Zhang 001; Quanquan Li; Xiaolin Hu 001 (CVPR, 2021)

Liver Tumor Detection Via A Multi-Scale Intermediate Multi-Modal Fusion Network on MRI Images. - Chao Pan; Peiyun Zhou; Jingru Tan; Baoye Sun; Ruoyu Guan; Zhutao Wang; Ye Luo; Jianwei Lu (ICIP, 2021)

Equalized Focal Loss for Dense Long-Tailed Object Detection. - Bo Li 126; Yongqiang Yao; Jingru Tan; Gang Zhang; Fengwei Yu; Jianwei Lu; Ye Luo (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 (CoRR, 2022)

The Equalization Losses: Gradient-Driven Training for Long-tailed Object Recognition. - Jingru Tan; Bo Li; Xin Lu; Yongqiang Yao; Fengwei Yu; Tong He 001; Wanli Ouyang (CoRR, 2022)

Improving Long-tailed Object Detection with Image-Level Supervision by Multi-Task Collaborative Learning. - Bo Li; Yongqiang Yao; Jingru Tan; Xin Lu; Fengwei Yu; Ye Luo; Jianwei Lu (CoRR, 2022)

From Isolated Islands to Pangea: Unifying Semantic Space for Human Action Understanding. - Yong-Lu Li 001; Xiaoqian Wu; Xinpeng Liu 002; Yiming Dou; Yikun Ji; Junyi Zhang 004; Yixing Li; Jingru Tan; Xudong Lu; Cewu Lu (CoRR, 2023)

The Equalization Losses: Gradient-Driven Training for Long-tailed Object Recognition. - Jingru Tan; Bo Li 126; Xin Lu; Yongqiang Yao; Fengwei Yu; Tong He 001; Wanli Ouyang (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

From Isolated Islands to Pangea: Unifying Semantic Space for Human Action Understanding. - Yong-Lu Li 001; Xiaoqian Wu; Xinpeng Liu 002; Zehao Wang; Yiming Dou; Yikun Ji; Junyi Zhang 004; Yixing Li; Xudong Lu; Jingru Tan; Cewu Lu (CVPR, 2024)

Transformer-Characterized Approach for Chip Floorplanning: Leveraging HyperGCN and DTQN. - Wenbo Guan; Xiaoyan Tang; Hongliang Lu; Jingru Tan; Jinlong Wang; Yuming Zhang (ICCD, 2024)

A Data Synchronization Incentive Scheme in Vehicular Digital Twin Network with Stackelberg Game. - Jingru Tan; Xiaoqing Yang; Jinkai Zheng; Tom H. Luan; Longxiang Gao; Zhou Su (VTC Spring, 2024)

Beam Alignment in mmWave V2X Communications: A Survey. - Jingru Tan; Tom H. Luan; Wenbo Guan; Yuntao Wang 004; Haixia Peng; Yao Zhang 005; Dongmei Zhao; Ning Lu 001 (IEEE Commun. Surv. Tutorials, 2024)

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)

Rectify representation bias in vision-language models for long-tailed recognition. - Bo Li 126; Yongqiang Yao; Jingru Tan; Ruihao Gong; Jianwei Lu; Ye Luo (Neural Networks, 2024)

Robust long-tailed recognition with distribution-aware adversarial example generation. - Bo Li 126; Yongqiang Yao; Jingru Tan; Dandan Zhu; Ruihao Gong; Ye Luo; Jianwei Lu (Neural Networks, 2025)

LSTM-Characterized Approach for Chip Floorplanning: Leveraging HyperGCN and DRQN. - Wenbo Guan; Xiaoyan Tang; Hongliang Lu; Jingru Tan; Jinlong Wang; Yuming Zhang; Yimen Zhang (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2025)

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)