Jingru Tan

26 papers A* 6B 1C 1Journal 17Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
From Charts to Code: A Hierarchical Benchmark for Multimodal Models.
CoRR
Jiahao Tang, Henry Hengyuan Zhao, Lijian Wu, Yifei Tao, Dongxing Mao, Yang Wan, Jingru Tan, Min Zeng, Min Li, Alex Jinpeng Wang
2025 J jnl
Hierarchical Balance Packing: Towards Efficient Supervised Fine-tuning for Long-Context LLM.
CoRR
Yongqiang Yao, Jingru Tan, Kaihuan Liang, Feizhao Zhang, Yazhe Niu, Jiahao Hu, Ruihao Gong, Dahua Lin, Ningyi Xu
2025 J jnl
LSTM-Characterized Approach for Chip Floorplanning: Leveraging HyperGCN and DRQN.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Wenbo Guan, Xiaoyan Tang, Hongliang Lu, Jingru Tan, Jinlong Wang, Yuming Zhang, Yimen Zhang
2025 A* conf
OmniBal: Towards Fast Instruction-Tuning for Vision-Language Models via Omniverse Computation Balance.
ICML
Yongqiang Yao, Jingru Tan, Feizhao Zhang, Jiahao Hu, Yazhe Niu, Xin Jin, Bo Li, Pengfei Liu, Ruihao Gong, Dahua Lin, Ningyi Xu
2025 J jnl
Robust long-tailed recognition with distribution-aware adversarial example generation.
Neural Networks
Bo Li, Yongqiang Yao, Jingru Tan, Dandan Zhu, Ruihao Gong, Ye Luo, Jianwei Lu
2024 — conf
A Data Synchronization Incentive Scheme in Vehicular Digital Twin Network with Stackelberg Game.
VTC Spring
Jingru Tan, Xiaoqing Yang, Jinkai Zheng, Tom H. Luan, Longxiang Gao, Zhou Su
2024 J jnl
Beam Alignment in mmWave V2X Communications: A Survey.
IEEE Commun. Surv. Tutorials
Jingru Tan, Tom H. Luan, Wenbo Guan, Yuntao Wang, Haixia Peng, Yao Zhang, Dongmei Zhao, Ning Lu
2024 A* conf
From Isolated Islands to Pangea: Unifying Semantic Space for Human Action Understanding.
CVPR
Yong-Lu Li, Xiaoqian Wu, Xinpeng Liu, Zehao Wang, Yiming Dou, Yikun Ji, Junyi Zhang, Yixing Li, Xudong Lu, Jingru Tan, Cewu Lu
2024 J jnl
OmniBal: Towards Fast Instruct-tuning for Vision-Language Models via Omniverse Computation Balance.
CoRR
Yongqiang Yao, Jingru Tan, Jiahao Hu, Feizhao Zhang, Xin Jin, Bo Li, Ruihao Gong, Pengfei Liu
2024 J jnl
Rectify representation bias in vision-language models for long-tailed recognition.
Neural Networks
Bo Li, Yongqiang Yao, Jingru Tan, Ruihao Gong, Jianwei Lu, Ye Luo
2024 C conf
Transformer-Characterized Approach for Chip Floorplanning: Leveraging HyperGCN and DTQN.
ICCD
Wenbo Guan, Xiaoyan Tang, Hongliang Lu, Jingru Tan, Jinlong Wang, Yuming Zhang
2023 J jnl
From Isolated Islands to Pangea: Unifying Semantic Space for Human Action Understanding.
CoRR
Yong-Lu Li, Xiaoqian Wu, Xinpeng Liu, Yiming Dou, Yikun Ji, Junyi Zhang, Yixing Li, Jingru Tan, Xudong Lu, Cewu Lu
2023 J jnl
The Equalization Losses: Gradient-Driven Training for Long-tailed Object Recognition.
IEEE Trans. Pattern Anal. Mach. Intell.
Jingru Tan, Bo Li, Xin Lu, Yongqiang Yao, Fengwei Yu, Tong He, Wanli Ouyang
2022 A* conf
Equalized Focal Loss for Dense Long-Tailed Object Detection.
CVPR
Bo Li, Yongqiang Yao, Jingru Tan, Gang Zhang, Fengwei Yu, Jianwei Lu, Ye Luo
2022 J jnl
Equalized Focal Loss for Dense Long-Tailed Object Detection.
CoRR
Bo Li, Yongqiang Yao, Jingru Tan, Gang Zhang, Fengwei Yu, Jianwei Lu, Ye Luo
2022 J jnl
Improving Long-tailed Object Detection with Image-Level Supervision by Multi-Task Collaborative Learning.
CoRR
Bo Li, Yongqiang Yao, Jingru Tan, Xin Lu, Fengwei Yu, Ye Luo, Jianwei Lu
2022 J jnl
The Equalization Losses: Gradient-Driven Training for Long-tailed Object Recognition.
CoRR
Jingru Tan, Bo Li, Xin Lu, Yongqiang Yao, Fengwei Yu, Tong He, Wanli Ouyang
2021 A* conf
Equalization Loss v2: A New Gradient Balance Approach for Long-Tailed Object Detection.
CVPR
Jingru Tan, Xin Lu, Gang Zhang, Changqing Yin, Quanquan Li
2021 B conf
Liver Tumor Detection Via A Multi-Scale Intermediate Multi-Modal Fusion Network on MRI Images.
ICIP
Chao Pan, Peiyun Zhou, Jingru Tan, Baoye Sun, Ruoyu Guan, Zhutao Wang, Ye Luo, Jianwei Lu
2021 A* conf
RefineMask: Towards High-Quality Instance Segmentation With Fine-Grained Features.
CVPR
Gang Zhang, Xin Lu, Jingru Tan, Jianmin Li, Zhaoxiang Zhang, Quanquan Li, Xiaolin Hu
2021 J jnl
RefineMask: Towards High-Quality Instance Segmentation with Fine-Grained Features.
CoRR
Gang Zhang, Xin Lu, Jingru Tan, Jianmin Li, Zhaoxiang Zhang, Quanquan Li, Xiaolin Hu
2020 J jnl
1st Place Solution of LVIS Challenge 2020: A Good Box is not a Guarantee of a Good Mask.
CoRR
Jingru Tan, Gang Zhang, Hanming Deng, Changbao Wang, Lewei Lu, Quanquan Li, Jifeng Dai
2020 A* conf
Equalization Loss for Long-Tailed Object Recognition.
CVPR
Jingru Tan, Changbao Wang, Buyu Li, Quanquan Li, Wanli Ouyang, Changqing Yin, Junjie Yan
2020 J jnl
Equalization Loss for Long-Tailed Object Recognition.
CoRR
Jingru Tan, Changbao Wang, Buyu Li, Quanquan Li, Wanli Ouyang, Changqing Yin, Junjie Yan
2020 J jnl
Equalization Loss v2: A New Gradient Balance Approach for Long-tailed Object Detection.
CoRR
Jingru Tan, Xin Lu, Gang Zhang, Changqing Yin, Quanquan Li
2019 J jnl
Equalization Loss for Large Vocabulary Instance Segmentation.
CoRR
Jingru Tan, Changbao Wang, Quanquan Li, Junjie Yan