Hierarchical Balance Packing: Towards Efficient Supervised Fine-tuning for Long-Context LLM.
CoRR, March, 2025
LSTM-Characterized Approach for Chip Floorplanning: Leveraging HyperGCN and DRQN.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., February, 2025
Robust long-tailed recognition with distribution-aware adversarial example generation.
Neural Networks, 2025
Rectify representation bias in vision-language models for long-tailed recognition.
Neural Networks, 2024
OmniBal: Towards Fast Instruct-tuning for Vision-Language Models via Omniverse Computation Balance.
CoRR, 2024
Beam Alignment in mmWave V2X Communications: A Survey.
IEEE Commun. Surv. Tutorials, 2024
A Data Synchronization Incentive Scheme in Vehicular Digital Twin Network with Stackelberg Game.
Proceedings of the 99th IEEE Vehicular Technology Conference, 2024
Transformer-Characterized Approach for Chip Floorplanning: Leveraging HyperGCN and DTQN.
Proceedings of the 42nd IEEE International Conference on Computer Design, 2024
From Isolated Islands to Pangea: Unifying Semantic Space for Human Action Understanding.
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Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
The Equalization Losses: Gradient-Driven Training for Long-tailed Object Recognition.
IEEE Trans. Pattern Anal. Mach. Intell., November, 2023
From Isolated Islands to Pangea: Unifying Semantic Space for Human Action Understanding.
CoRR, 2023
Improving Long-tailed Object Detection with Image-Level Supervision by Multi-Task Collaborative Learning.
CoRR, 2022
The Equalization Losses: Gradient-Driven Training for Long-tailed Object Recognition.
CoRR, 2022
Equalized Focal Loss for Dense Long-Tailed Object Detection.
CoRR, 2022
Equalized Focal Loss for Dense Long-Tailed Object Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Liver Tumor Detection Via A Multi-Scale Intermediate Multi-Modal Fusion Network on MRI Images.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021
RefineMask: Towards High-Quality Instance Segmentation With Fine-Grained Features.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Equalization Loss v2: A New Gradient Balance Approach for Long-Tailed Object Detection.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Equalization Loss v2: A New Gradient Balance Approach for Long-tailed Object Detection.
CoRR, 2020
1st Place Solution of LVIS Challenge 2020: A Good Box is not a Guarantee of a Good Mask.
CoRR, 2020
Equalization Loss for Long-Tailed Object Recognition.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
Equalization Loss for Large Vocabulary Instance Segmentation.
CoRR, 2019