Yukang Chen

Orcid: 0000-0002-5933-2654

According to our database1, Yukang Chen authored at least 47 papers between 2018 and 2024.

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Bibliography

2024
A multi-task learning model with reinforcement optimization for ASD comorbidity discrimination.
Comput. Methods Programs Biomed., January, 2024

LongVILA: Scaling Long-Context Visual Language Models for Long Videos.
CoRR, 2024

SEED-Story: Multimodal Long Story Generation with Large Language Model.
CoRR, 2024

Step-DPO: Step-wise Preference Optimization for Long-chain Reasoning of LLMs.
CoRR, 2024

MR-BEN: A Comprehensive Meta-Reasoning Benchmark for Large Language Models.
CoRR, 2024

RL-GPT: Integrating Reinforcement Learning and Code-as-policy.
CoRR, 2024

Grounded SAM: Assembling Open-World Models for Diverse Visual Tasks.
CoRR, 2024

E^2-LLM: Efficient and Extreme Length Extension of Large Language Models.
CoRR, 2024

Denoising Diffusion Step-aware Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

SaCo Loss: Sample-Wise Affinity Consistency for Vision-Language Pre-Training.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Low-Rank Approximation for Sparse Attention in Multi-Modal LLMs.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

OA-CNNs: Omni-Adaptive Sparse CNNs for 3D Semantic Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

LISA: Reasoning Segmentation via Large Language Model.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

E2-LLM: Efficient and Extreme Length Extension of Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Fully Convolutional Networks for Panoptic Segmentation With Point-Based Supervision.
IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

Scale-Aware Automatic Augmentations for Object Detection With Dynamic Training.
IEEE Trans. Pattern Anal. Mach. Intell., 2023

Prior-free Category-level Pose Estimation with Implicit Space Transformation.
CoRR, 2023

Data Pruning via Moving-one-Sample-out.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Virtual Target Based Multi-agent Surrounding Approach.
Proceedings of the 19th International Conference on Mobility, Sensing and Networking, 2023

IST-Net: Prior-free Category-level Pose Estimation with Implicit Space Transformation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Mask-Attention-Free Transformer for 3D Instance Segmentation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

FocalFormer3D : Focusing on Hard Instance for 3D Object Detection.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Spherical Transformer for LiDAR-Based 3D Recognition.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

VoxelNeXt: Fully Sparse VoxelNet for 3D Object Detection and Tracking.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

LargeKernel3D: Scaling up Kernels in 3D Sparse CNNs.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
ICM-3D: Instantiated Category Modeling for 3D Instance Segmentation.
IEEE Robotics Autom. Lett., 2022

PointINS: Point-Based Instance Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Scaling up Kernels in 3D CNNs.
CoRR, 2022

Spatial Pruned Sparse Convolution for Efficient 3D Object Detection.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

When NAS Meets Trees: An Efficient Algorithm for Neural Architecture Search.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Voxel Field Fusion for 3D Object Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Focal Sparse Convolutional Networks for 3D Object Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
EAT-NAS: elastic architecture transfer for accelerating large-scale neural architecture search.
Sci. China Inf. Sci., 2021

Single-DARTS: Towards Stable Architecture Search.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Multi-Scale Aligned Distillation for Low-Resolution Detection.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Scale-Aware Automatic Augmentation for Object Detection.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Joint COCO and Mapillary Workshop at ICCV 2019: COCO Instance Segmentation Challenge Track.
CoRR, 2020

Stitcher: Feedback-driven Data Provider for Object Detection.
CoRR, 2020

PointINS: Point-based Instance Segmentation.
CoRR, 2020

Learning Dynamic Routing for Semantic Segmentation.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
DetNAS: Neural Architecture Search on Object Detection.
CoRR, 2019

DetNAS: Backbone Search for Object Detection.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

RENAS: Reinforced Evolutionary Neural Architecture Search.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Global Regularity to the Navier-Stokes equations for a class of Large initial Data.
Math. Model. Anal., 2018

Joint Neural Architecture Search and Quantization.
CoRR, 2018

Reinforced Evolutionary Neural Architecture Search.
CoRR, 2018


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