Yukang Chen

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 62

Top Topics

Object Detection

Neural Architecture

Semantic Segmentation

Top Venues

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

Shuai Yang, Yuying Ge, Yang Li, Yukang Chen, Yixiao Ge, Ying Shan, Yingcong Chen
SEED-Story: Multimodal Long Story Generation with Large Language Model. CoRR (2024)
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
Grounded SAM: Assembling Open-World Models for Diverse Visual Tasks. CoRR (2024)
Xin Lai, Zhuotao Tian, Yukang Chen, Senqiao Yang, Xiangru Peng, Jiaya Jia
Step-DPO: Step-wise Preference Optimization for Long-chain Reasoning of LLMs. CoRR (2024)
Yukang Chen, Shengju Qian, Haotian Tang, Xin Lai, Zhijian Liu, Song Han, Jiaya Jia
LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models. ICLR (2024)
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
E^2-LLM: Efficient and Extreme Length Extension of Large Language Models. CoRR (2024)
Heyou Dong, Dan Chen, Yukang Chen, Yunbo Tang, Dingze Yin, Xiaoli Li
A multi-task learning model with reinforcement optimization for ASD comorbidity discrimination. Comput. Methods Programs Biomed. 243 (2024)
Zhongshen Zeng, Yinhong Liu, Yingjia Wan, Jingyao Li, Pengguang Chen, Jianbo Dai, Yuxuan Yao, Rongwu Xu, Zehan Qi, Wanru Zhao, Linling Shen, Jianqiao Lu, Haochen Tan, Yukang Chen, Hao Zhang, Zhan Shi, Bailin Wang, Zhijiang Guo, Jiaya Jia
MR-BEN: A Comprehensive Meta-Reasoning Benchmark for Large Language Models. CoRR (2024)
Shaoteng Liu, Haoqi Yuan, Minda Hu, Yanwei Li, Yukang Chen, Shu Liu, Zongqing Lu, Jiaya Jia
RL-GPT: Integrating Reinforcement Learning and Code-as-policy. CoRR (2024)
Jiaheng Liu, ZhiqiBai ZhiqiBai, Yuanxing Zhang, Chenchen Zhang, YuangZh YuangZh, Ge Zhang, JiakaiWang JiakaiWang, Haoran Que, Yukang Chen, Wenbo Su, Tiezheng Ge, Jie Fu, Wenhu Chen, Bo Zheng
E2-LLM: Efficient and Extreme Length Extension of Large Language Models. ACL (Findings) (2024)
Bohao Peng, Xiaoyang Wu, Li Jiang, Yukang Chen, Hengshuang Zhao, Zhuotao Tian, Jiaya Jia
OA-CNNs: Omni-Adaptive Sparse CNNs for 3D Semantic Segmentation. CoRR (2024)
Shuai Yang, Yukang Chen, Luozhou Wang, Shu Liu, Ying-Cong Chen
Denoising Diffusion Step-aware Models. ICLR (2024)
Weiping Zhu, Haoyang Li, Ning Ding, Yukang Chen, Yufei Sun, Chao Ma, Wei Li
Virtual Target Based Multi-agent Surrounding Approach. MSN (2023)
Shuai Yang, Yukang Chen, Luozhou Wang, Shu Liu, Yingcong Chen
Denoising Diffusion Step-aware Models. CoRR (2023)
Yilun Chen, Zhiding Yu, Yukang Chen, Shiyi Lan, Animashree Anandkumar, Jiaya Jia, José M. Álvarez
FocalFormer3D : Focusing on Hard Instance for 3D Object Detection. CoRR (2023)
Xin Lai, Yukang Chen, Fanbin Lu, Jianhui Liu, Jiaya Jia
Spherical Transformer for LiDAR-based 3D Recognition. CoRR (2023)
Jianhui Liu, Yukang Chen, Xiaoqing Ye, Xiaojuan Qi
Prior-free Category-level Pose Estimation with Implicit Space Transformation. CoRR (2023)
Xin Lai, Yuhui Yuan, Ruihang Chu, Yukang Chen, Han Hu, Jiaya Jia
Mask-Attention-Free Transformer for 3D Instance Segmentation. ICCV (2023)
Yukang Chen, Jianhui Liu, Xiangyu Zhang, Xiaojuan Qi, Jiaya Jia
VoxelNeXt: Fully Sparse VoxelNet for 3D Object Detection and Tracking. CVPR (2023)
Yilun Chen, Zhiding Yu, Yukang Chen, Shiyi Lan, Anima Anandkumar, Jiaya Jia, José M. Álvarez
FocalFormer3D : Focusing on Hard Instance for 3D Object Detection. ICCV (2023)
Yukang Chen, Peizhen Zhang, Tao Kong, Yanwei Li, Xiangyu Zhang, Lu Qi, Jian Sun, Jiaya Jia
Scale-Aware Automatic Augmentations for Object Detection With Dynamic Training. IEEE Trans. Pattern Anal. Mach. Intell. 45 (2) (2023)
Yukang Chen, Jianhui Liu, Xiangyu Zhang, Xiaojuan Qi, Jiaya Jia
VoxelNeXt: Fully Sparse VoxelNet for 3D Object Detection and Tracking. CoRR (2023)
Haoru Tan, Sitong Wu, Fei Du, Yukang Chen, Zhibin Wang, Fan Wang, Xiaojuan Qi
Data Pruning via Moving-one-Sample-out. NeurIPS (2023)
Xin Lai, Zhuotao Tian, Yukang Chen, Yanwei Li, Yuhui Yuan, Shu Liu, Jiaya Jia
LISA: Reasoning Segmentation via Large Language Model. CoRR (2023)
Yukang Chen, Shengju Qian, Haotian Tang, Xin Lai, Zhijian Liu, Song Han, Jiaya Jia
LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models. CoRR (2023)
Jianhui Liu, Yukang Chen, Xiaoqing Ye, Xiaojuan Qi
IST-Net: Prior-free Category-level Pose Estimation with Implicit Space Transformation. ICCV (2023)
Xin Lai, Yuhui Yuan, Ruihang Chu, Yukang Chen, Han Hu, Jiaya Jia
Mask-Attention-Free Transformer for 3D Instance Segmentation. CoRR (2023)
Yanwei Li, Hengshuang Zhao, Xiaojuan Qi, Yukang Chen, Lu Qi, Liwei Wang, Zeming Li, Jian Sun, Jiaya Jia
Fully Convolutional Networks for Panoptic Segmentation With Point-Based Supervision. IEEE Trans. Pattern Anal. Mach. Intell. 45 (4) (2023)
Xin Lai, Yukang Chen, Fanbin Lu, Jianhui Liu, Jiaya Jia
Spherical Transformer for LiDAR-Based 3D Recognition. CVPR (2023)
Yukang Chen, Jianhui Liu, Xiangyu Zhang, Xiaojuan Qi, Jiaya Jia
LargeKernel3D: Scaling up Kernels in 3D Sparse CNNs. CVPR (2023)
Haoru Tan, Sitong Wu, Fei Du, Yukang Chen, Zhibin Wang, Fan Wang, Xiaojuan Qi
Data Pruning via Moving-one-Sample-out. CoRR (2023)
Yukang Chen, Yanwei Li, Xiangyu Zhang, Jian Sun, Jiaya Jia
Focal Sparse Convolutional Networks for 3D Object Detection. CVPR (2022)
Ruihang Chu, Yukang Chen, Tao Kong, Lu Qi, Lei Li
ICM-3D: Instantiated Category Modeling for 3D Instance Segmentation. IEEE Robotics Autom. Lett. 7 (1) (2022)
Yukang Chen, Yanwei Li, Xiangyu Zhang, Jian Sun, Jiaya Jia
Focal Sparse Convolutional Networks for 3D Object Detection. CoRR (2022)
Yukang Chen, Jianhui Liu, Xiaojuan Qi, Xiangyu Zhang, Jian Sun, Jiaya Jia
Scaling up Kernels in 3D CNNs. CoRR (2022)
Lu Qi, Yi Wang, Yukang Chen, Ying-Cong Chen, Xiangyu Zhang, Jian Sun, Jiaya Jia
PointINS: Point-Based Instance Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 44 (10) (2022)
Jianhui Liu, Yukang Chen, Xiaoqing Ye, Zhuotao Tian, Xiao Tan, Xiaojuan Qi
Spatial Pruned Sparse Convolution for Efficient 3D Object Detection. NeurIPS (2022)
Guocheng Qian, Xuanyang Zhang, Guohao Li, Chen Zhao, Yukang Chen, Xiangyu Zhang, Bernard Ghanem, Jian Sun
When NAS Meets Trees: An Efficient Algorithm for Neural Architecture Search. CoRR (2022)
Yanwei Li, Xiaojuan Qi, Yukang Chen, Liwei Wang, Zeming Li, Jian Sun, Jiaya Jia
Voxel Field Fusion for 3D Object Detection. CVPR (2022)
Guocheng Qian, Xuanyang Zhang, Guohao Li, Chen Zhao, Yukang Chen, Xiangyu Zhang, Bernard Ghanem, Jian Sun
When NAS Meets Trees: An Efficient Algorithm for Neural Architecture Search. CVPR Workshops (2022)
Yanwei Li, Xiaojuan Qi, Yukang Chen, Liwei Wang, Zeming Li, Jian Sun, Jiaya Jia
Voxel Field Fusion for 3D Object Detection. CoRR (2022)
Jianhui Liu, Yukang Chen, Xiaoqing Ye, Zhuotao Tian, Xiao Tan, Xiaojuan Qi
Spatial Pruned Sparse Convolution for Efficient 3D Object Detection. CoRR (2022)
Lu Qi, Jason Kuen, Jiuxiang Gu, Zhe Lin, Yi Wang, Yukang Chen, Yanwei Li, Jiaya Jia
Multi-Scale Aligned Distillation for Low-Resolution Detection. CoRR (2021)
Jiemin Fang, Yukang Chen, Xinbang Zhang, Qian Zhang, Chang Huang, Gaofeng Meng, Wenyu Liu, Xinggang Wang
EAT-NAS: elastic architecture transfer for accelerating large-scale neural architecture search. Sci. China Inf. Sci. 64 (9) (2021)
Yukang Chen, Yanwei Li, Tao Kong, Lu Qi, Ruihang Chu, Lei Li, Jiaya Jia
Scale-Aware Automatic Augmentation for Object Detection. CVPR (2021)
Pengfei Hou, Ying Jin, Yukang Chen
Single-DARTS: Towards Stable Architecture Search. ICCVW (2021)
Pengfei Hou, Ying Jin, Yukang Chen
Single-DARTS: Towards Stable Architecture Search. CoRR (2021)
Lu Qi, Jason Kuen, Jiuxiang Gu, Zhe Lin, Yi Wang, Yukang Chen, Yanwei Li, Jiaya Jia
Multi-Scale Aligned Distillation for Low-Resolution Detection. CVPR (2021)
Yukang Chen, Yanwei Li, Tao Kong, Lu Qi, Ruihang Chu, Lei Li, Jiaya Jia
Scale-aware Automatic Augmentation for Object Detection. CoRR (2021)
Ruihang Chu, Yukang Chen, Tao Kong, Lu Qi, Lei Li
ICM-3D: Instantiated Category Modeling for 3D Instance Segmentation. CoRR (2021)
Yanwei Li, Hengshuang Zhao, Xiaojuan Qi, Yukang Chen, Lu Qi, Liwei Wang, Zeming Li, Jian Sun, Jiaya Jia
Fully Convolutional Networks for Panoptic Segmentation with Point-based Supervision. CoRR (2021)
Yukang Chen, Peizhen Zhang, Zeming Li, Yanwei Li, Xiangyu Zhang, Gaofeng Meng, Shiming Xiang, Jian Sun, Jiaya Jia
Stitcher: Feedback-driven Data Provider for Object Detection. CoRR (2020)
Yanwei Li, Lin Song, Yukang Chen, Zeming Li, Xiangyu Zhang, Xingang Wang, Jian Sun
Learning Dynamic Routing for Semantic Segmentation. CVPR (2020)
Lu Qi, Xiangyu Zhang, Ying-Cong Chen, Yukang Chen, Jian Sun, Jiaya Jia
PointINS: Point-based Instance Segmentation. CoRR (2020)
Yanwei Li, Lin Song, Yukang Chen, Zeming Li, Xiangyu Zhang, Xingang Wang, Jian Sun
Learning Dynamic Routing for Semantic Segmentation. CoRR (2020)
Zeming Li, Yuchen Ma, Yukang Chen, Xiangyu Zhang, Jian Sun
Joint COCO and Mapillary Workshop at ICCV 2019: COCO Instance Segmentation Challenge Track. CoRR (2020)
Yukang Chen, Gaofeng Meng, Qian Zhang, Shiming Xiang, Chang Huang, Lisen Mu, Xinggang Wang
RENAS: Reinforced Evolutionary Neural Architecture Search. CVPR (2019)
Yukang Chen, Tong Yang, Xiangyu Zhang, Gaofeng Meng, Chunhong Pan, Jian Sun
DetNAS: Neural Architecture Search on Object Detection. CoRR (2019)
Yukang Chen, Tong Yang, Xiangyu Zhang, Gaofeng Meng, Xinyu Xiao, Jian Sun
DetNAS: Backbone Search for Object Detection. NeurIPS (2019)
Jiemin Fang, Yukang Chen, Xinbang Zhang, Qian Zhang, Chang Huang, Gaofeng Meng, Wenyu Liu, Xinggang Wang
EAT-NAS: Elastic Architecture Transfer for Accelerating Large-scale Neural Architecture Search. CoRR (2019)
Yukang Chen, Gaofeng Meng, Qian Zhang, Xinbang Zhang, Liangchen Song, Shiming Xiang, Chunhong Pan
Joint Neural Architecture Search and Quantization. CoRR (2018)
Yukang Chen, Qian Zhang, Chang Huang, Lisen Mu, Gaofeng Meng, Xinggang Wang
Reinforced Evolutionary Neural Architecture Search. CoRR (2018)
Bin Han, Yukang Chen
Global Regularity to the Navier-Stokes equations for a class of Large initial Data. Math. Model. Anal. 23 (2) (2018)