Yukang Chen

According to our database, Yukang Chen authored at least 40 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

A multi-task learning model with reinforcement optimization for ASD comorbidity discrimination.

Heyou Dong, Dan Chen, Yukang Chen, Yunbo Tang, Dingze Yin, Xiaoli Li

Comput. Methods Programs Biomed., January, 2024

OA-CNNs: Omni-Adaptive Sparse CNNs for 3D Semantic Segmentation.

Bohao Peng, Xiaoyang Wu, Li Jiang, Yukang Chen, Hengshuang Zhao, Zhuotao Tian, Jiaya Jia

CoRR, 2024

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

Shaoteng Liu, Haoqi Yuan, Minda Hu, Yanwei Li, Yukang Chen, Shu Liu, Zongqing Lu, Jiaya Jia

CoRR, 2024

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

Tianhe Ren, Shilong Liu, Ailing Zeng, Jing Lin, Kunchang Li, He Cao, Jiayu Chen, Xinyu Huang, Yukang Chen, Feng Yan, Zhaoyang Zeng, Hao Zhang, Feng Li, Jie Yang, Hongyang Li, Qing Jiang, Lei Zhang

CoRR, 2024

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

Jiaheng Liu, Zhiqi Bai, Yuanxing Zhang, Chenchen Zhang, Yu Zhang, Ge Zhang, Jiakai Wang, Haoran Que, Yukang Chen, Wenbo Su, Tiezheng Ge, Jie Fu, Wenhu Chen, Bo Zheng

CoRR, 2024

2023

Fully Convolutional Networks for Panoptic Segmentation With Point-Based Supervision.

Yanwei Li, Hengshuang Zhao, Xiaojuan Qi, Yukang Chen, Lu Qi, Liwei Wang, Zeming Li, Jian Sun, Jiaya Jia

IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

Scale-Aware Automatic Augmentations for Object Detection With Dynamic Training.

Yukang Chen, Peizhen Zhang, Tao Kong, Yanwei Li, Xiangyu Zhang, Lu Qi, Jian Sun, Jiaya Jia

IEEE Trans. Pattern Anal. Mach. Intell., 2023

Denoising Diffusion Step-aware Models.

Shuai Yang, Yukang Chen, Luozhou Wang, Shu Liu, Yingcong Chen

CoRR, 2023

LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models.

Yukang Chen, Shengju Qian, Haotian Tang, Xin Lai, Zhijian Liu, Song Han, Jiaya Jia

CoRR, 2023

LISA: Reasoning Segmentation via Large Language Model.

Xin Lai, Zhuotao Tian, Yukang Chen, Yanwei Li, Yuhui Yuan, Shu Liu, Jiaya Jia

CoRR, 2023

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

Jianhui Liu, Yukang Chen, Xiaoqing Ye, Xiaojuan Qi

CoRR, 2023

Data Pruning via Moving-one-Sample-out.

Haoru Tan, Sitong Wu, Fei Du, Yukang Chen, Zhibin Wang, Fan Wang, Xiaojuan Qi

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

IST-Net: Prior-free Category-level Pose Estimation with Implicit Space Transformation.

Jianhui Liu, Yukang Chen, Xiaoqing Ye, Xiaojuan Qi

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Mask-Attention-Free Transformer for 3D Instance Segmentation.

Xin Lai, Yuhui Yuan, Ruihang Chu, Yukang Chen, Han Hu, Jiaya Jia

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

FocalFormer3D : Focusing on Hard Instance for 3D Object Detection.

Yilun Chen, Zhiding Yu, Yukang Chen, Shiyi Lan, Anima Anandkumar, Jiaya Jia, José M. Álvarez

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Spherical Transformer for LiDAR-Based 3D Recognition.

Xin Lai, Yukang Chen, Fanbin Lu, Jianhui Liu, Jiaya Jia

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

VoxelNeXt: Fully Sparse VoxelNet for 3D Object Detection and Tracking.

Yukang Chen, Jianhui Liu, Xiangyu Zhang, Xiaojuan Qi, Jiaya Jia

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

LargeKernel3D: Scaling up Kernels in 3D Sparse CNNs.

Yukang Chen, Jianhui Liu, Xiangyu Zhang, Xiaojuan Qi, Jiaya Jia

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

ICM-3D: Instantiated Category Modeling for 3D Instance Segmentation.

Ruihang Chu, Yukang Chen, Tao Kong, Lu Qi, Lei Li

IEEE Robotics Autom. Lett., 2022

PointINS: Point-Based Instance Segmentation.

Lu Qi, Yi Wang, Yukang Chen, Ying-Cong Chen, Xiangyu Zhang, Jian Sun, Jiaya Jia

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Spatial Pruned Sparse Convolution for Efficient 3D Object Detection.

Jianhui Liu, Yukang Chen, Xiaoqing Ye, Zhuotao Tian, Xiao Tan, Xiaojuan Qi

CoRR, 2022

Scaling up Kernels in 3D CNNs.

Yukang Chen, Jianhui Liu, Xiaojuan Qi, Xiangyu Zhang, Jian Sun, Jiaya Jia

CoRR, 2022

Spatial Pruned Sparse Convolution for Efficient 3D Object Detection.

Jianhui Liu, Yukang Chen, Xiaoqing Ye, Zhuotao Tian, Xiao Tan, Xiaojuan Qi

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.

Guocheng Qian, Xuanyang Zhang, Guohao Li, Chen Zhao, Yukang Chen, Xiangyu Zhang, Bernard Ghanem, Jian Sun

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Voxel Field Fusion for 3D Object Detection.

Yanwei Li, Xiaojuan Qi, Yukang Chen, Liwei Wang, Zeming Li, Jian Sun, Jiaya Jia

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Focal Sparse Convolutional Networks for 3D Object Detection.

Yukang Chen, Yanwei Li, Xiangyu Zhang, Jian Sun, Jiaya Jia

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.

Jiemin Fang, Yukang Chen, Xinbang Zhang, Qian Zhang, Chang Huang, Gaofeng Meng, Wenyu Liu, Xinggang Wang

Sci. China Inf. Sci., 2021

Single-DARTS: Towards Stable Architecture Search.

Pengfei Hou, Ying Jin, Yukang Chen

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Multi-Scale Aligned Distillation for Low-Resolution Detection.

Lu Qi, Jason Kuen, Jiuxiang Gu, Zhe Lin, Yi Wang, Yukang Chen, Yanwei Li, Jiaya Jia

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Scale-Aware Automatic Augmentation for Object Detection.

Yukang Chen, Yanwei Li, Tao Kong, Lu Qi, Ruihang Chu, Lei Li, Jiaya Jia

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.

Zeming Li, Yuchen Ma, Yukang Chen, Xiangyu Zhang, Jian Sun

CoRR, 2020

Stitcher: Feedback-driven Data Provider for Object Detection.

Yukang Chen, Peizhen Zhang, Zeming Li, Yanwei Li, Xiangyu Zhang, Gaofeng Meng, Shiming Xiang, Jian Sun, Jiaya Jia

CoRR, 2020

PointINS: Point-based Instance Segmentation.

Lu Qi, Xiangyu Zhang, Ying-Cong Chen, Yukang Chen, Jian Sun, Jiaya Jia

CoRR, 2020

Learning Dynamic Routing for Semantic Segmentation.

Yanwei Li, Lin Song, Yukang Chen, Zeming Li, Xiangyu Zhang, Xingang Wang, Jian Sun

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

DetNAS: Neural Architecture Search on Object Detection.

Yukang Chen, Tong Yang, Xiangyu Zhang, Gaofeng Meng, Chunhong Pan, Jian Sun

CoRR, 2019

DetNAS: Backbone Search for Object Detection.

Yukang Chen, Tong Yang, Xiangyu Zhang, Gaofeng Meng, Xinyu Xiao, Jian Sun

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.

Yukang Chen, Gaofeng Meng, Qian Zhang, Shiming Xiang, Chang Huang, Lisen Mu, Xinggang Wang

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.

Bin Han, Yukang Chen

Math. Model. Anal., 2018

Joint Neural Architecture Search and Quantization.

Yukang Chen, Gaofeng Meng, Qian Zhang, Xinbang Zhang, Liangchen Song, Shiming Xiang, Chunhong Pan

CoRR, 2018

Reinforced Evolutionary Neural Architecture Search.

Yukang Chen, Qian Zhang, Chang Huang, Lisen Mu, Gaofeng Meng, Xinggang Wang

CoRR, 2018