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2020 – today
- 2024
[j7]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: 107865 (2024)- [c25]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: 4243-4253 - [c24]Xin Lai, Zhuotao Tian, Yukang Chen, Yanwei Li, Yuhui Yuan, Shu Liu, Jiaya Jia:
LISA: Reasoning Segmentation via Large Language Model. CVPR 2024: 9579-9589 - [c23]Lin Song, Yukang Chen, Shuai Yang, Xiaohan Ding, Yixiao Ge, Ying-Cong Chen, Ying Shan:
Low-Rank Approximation for Sparse Attention in Multi-Modal LLMs. CVPR 2024: 13763-13773 - [c22]Bohao Peng, Xiaoyang Wu, Li Jiang, Yukang Chen, Hengshuang Zhao, Zhuotao Tian, Jiaya Jia:
OA-CNNs: Omni-Adaptive Sparse CNNs for 3D Semantic Segmentation. CVPR 2024: 21305-21315 - [c21]Sitong Wu, Haoru Tan, Zhuotao Tian, Yukang Chen, Xiaojuan Qi, Jiaya Jia:
SaCo Loss: Sample-Wise Affinity Consistency for Vision-Language Pre-Training. CVPR 2024: 27348-27359 - [c20]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 - [c19]Shuai Yang, Yukang Chen, Luozhou Wang, Shu Liu, Ying-Cong Chen:
Denoising Diffusion Step-aware Models. ICLR 2024 - [i35]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 abs/2401.06951 (2024) - [i34]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 abs/2401.14159 (2024) - [i33]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 abs/2402.19299 (2024) - [i32]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 abs/2403.14418 (2024) - [i31]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 abs/2406.13975 (2024) - [i30]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 abs/2406.18629 (2024) - [i29]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 abs/2407.08683 (2024) - [i28]Fuzhao Xue, Yukang Chen, Dacheng Li, Qinghao Hu, Ligeng Zhu, Xiuyu Li, Yunhao Fang, Haotian Tang, Shang Yang, Zhijian Liu, Ethan He, Hongxu Yin, Pavlo Molchanov, Jan Kautz, Linxi Fan, Yuke Zhu, Yao Lu, Song Han:
LongVILA: Scaling Long-Context Visual Language Models for Long Videos. CoRR abs/2408.10188 (2024) - 2023
- [j6]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): 2367-2383 (2023) - [j5]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): 4552-4568 (2023) - [c18]Yukang Chen, Jianhui Liu, Xiangyu Zhang, Xiaojuan Qi, Jiaya Jia:
LargeKernel3D: Scaling up Kernels in 3D Sparse CNNs. CVPR 2023: 13488-13498 - [c17]Xin Lai, Yukang Chen, Fanbin Lu, Jianhui Liu, Jiaya Jia:
Spherical Transformer for LiDAR-Based 3D Recognition. CVPR 2023: 17545-17555 - [c16]Yukang Chen, Jianhui Liu, Xiangyu Zhang, Xiaojuan Qi, Jiaya Jia:
VoxelNeXt: Fully Sparse VoxelNet for 3D Object Detection and Tracking. CVPR 2023: 21674-21683 - [c15]Xin Lai, Yuhui Yuan, Ruihang Chu, Yukang Chen, Han Hu, Jiaya Jia:
Mask-Attention-Free Transformer for 3D Instance Segmentation. ICCV 2023: 3670-3680 - [c14]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: 8360-8371 - [c13]Jianhui Liu, Yukang Chen, Xiaoqing Ye, Xiaojuan Qi:
IST-Net: Prior-free Category-level Pose Estimation with Implicit Space Transformation. ICCV 2023: 13932-13942 - [c12]Weiping Zhu, Haoyang Li, Ning Ding, Yukang Chen, Yufei Sun, Chao Ma, Wei Li:
Virtual Target Based Multi-agent Surrounding Approach. MSN 2023: 786-793 - [c11]Haoru Tan, Sitong Wu, Fei Du, Yukang Chen, Zhibin Wang, Fan Wang, Xiaojuan Qi:
Data Pruning via Moving-one-Sample-out. NeurIPS 2023 - [i27]Yukang Chen, Jianhui Liu, Xiangyu Zhang, Xiaojuan Qi, Jiaya Jia:
VoxelNeXt: Fully Sparse VoxelNet for 3D Object Detection and Tracking. CoRR abs/2303.11301 (2023) - [i26]Xin Lai, Yukang Chen, Fanbin Lu, Jianhui Liu, Jiaya Jia:
Spherical Transformer for LiDAR-based 3D Recognition. CoRR abs/2303.12766 (2023) - [i25]Jianhui Liu, Yukang Chen, Xiaoqing Ye, Xiaojuan Qi:
Prior-free Category-level Pose Estimation with Implicit Space Transformation. CoRR abs/2303.13479 (2023) - [i24]Xin Lai, Zhuotao Tian, Yukang Chen, Yanwei Li, Yuhui Yuan, Shu Liu, Jiaya Jia:
LISA: Reasoning Segmentation via Large Language Model. CoRR abs/2308.00692 (2023) - [i23]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 abs/2308.04556 (2023) - [i22]Xin Lai, Yuhui Yuan, Ruihang Chu, Yukang Chen, Han Hu, Jiaya Jia:
Mask-Attention-Free Transformer for 3D Instance Segmentation. CoRR abs/2309.01692 (2023) - [i21]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 abs/2309.12307 (2023) - [i20]Shuai Yang, Yukang Chen, Luozhou Wang, Shu Liu, Yingcong Chen:
Denoising Diffusion Step-aware Models. CoRR abs/2310.03337 (2023) - [i19]Haoru Tan, Sitong Wu, Fei Du, Yukang Chen, Zhibin Wang, Fan Wang, Xiaojuan Qi:
Data Pruning via Moving-one-Sample-out. CoRR abs/2310.14664 (2023) - 2022
- [j4]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): 6377-6392 (2022) - [j3]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): 57-64 (2022) - [c10]Yanwei Li, Xiaojuan Qi, Yukang Chen, Liwei Wang, Zeming Li, Jian Sun, Jiaya Jia:
Voxel Field Fusion for 3D Object Detection. CVPR 2022: 1110-1119 - [c9]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: 2781-2786 - [c8]Yukang Chen, Yanwei Li, Xiangyu Zhang, Jian Sun, Jiaya Jia:
Focal Sparse Convolutional Networks for 3D Object Detection. CVPR 2022: 5418-5427 - [c7]Jianhui Liu, Yukang Chen, Xiaoqing Ye, Zhuotao Tian, Xiao Tan, Xiaojuan Qi:
Spatial Pruned Sparse Convolution for Efficient 3D Object Detection. NeurIPS 2022 - [i18]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 abs/2204.04918 (2022) - [i17]Yukang Chen, Yanwei Li, Xiangyu Zhang, Jian Sun, Jiaya Jia:
Focal Sparse Convolutional Networks for 3D Object Detection. CoRR abs/2204.12463 (2022) - [i16]Yanwei Li, Xiaojuan Qi, Yukang Chen, Liwei Wang, Zeming Li, Jian Sun, Jiaya Jia:
Voxel Field Fusion for 3D Object Detection. CoRR abs/2205.15938 (2022) - [i15]Yukang Chen, Jianhui Liu, Xiaojuan Qi, Xiangyu Zhang, Jian Sun, Jiaya Jia:
Scaling up Kernels in 3D CNNs. CoRR abs/2206.10555 (2022) - [i14]Jianhui Liu, Yukang Chen, Xiaoqing Ye, Zhuotao Tian, Xiao Tan, Xiaojuan Qi:
Spatial Pruned Sparse Convolution for Efficient 3D Object Detection. CoRR abs/2209.14201 (2022) - 2021
- [j2]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) - [c6]Yukang Chen, Yanwei Li, Tao Kong, Lu Qi, Ruihang Chu, Lei Li, Jiaya Jia:
Scale-Aware Automatic Augmentation for Object Detection. CVPR 2021: 9563-9572 - [c5]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: 14443-14453 - [c4]Pengfei Hou, Ying Jin, Yukang Chen:
Single-DARTS: Towards Stable Architecture Search. ICCVW 2021: 373-382 - [i13]Yukang Chen, Yanwei Li, Tao Kong, Lu Qi, Ruihang Chu, Lei Li, Jiaya Jia:
Scale-aware Automatic Augmentation for Object Detection. CoRR abs/2103.17220 (2021) - [i12]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 abs/2108.07682 (2021) - [i11]Pengfei Hou, Ying Jin, Yukang Chen:
Single-DARTS: Towards Stable Architecture Search. CoRR abs/2108.08128 (2021) - [i10]Ruihang Chu, Yukang Chen, Tao Kong, Lu Qi, Lei Li:
ICM-3D: Instantiated Category Modeling for 3D Instance Segmentation. CoRR abs/2108.11771 (2021) - [i9]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 abs/2109.06875 (2021) - 2020
- [c3]Yanwei Li, Lin Song, Yukang Chen, Zeming Li, Xiangyu Zhang, Xingang Wang, Jian Sun:
Learning Dynamic Routing for Semantic Segmentation. CVPR 2020: 8550-8559 - [i8]Lu Qi, Xiangyu Zhang, Ying-Cong Chen, Yukang Chen, Jian Sun, Jiaya Jia:
PointINS: Point-based Instance Segmentation. CoRR abs/2003.06148 (2020) - [i7]Yanwei Li, Lin Song, Yukang Chen, Zeming Li, Xiangyu Zhang, Xingang Wang, Jian Sun:
Learning Dynamic Routing for Semantic Segmentation. CoRR abs/2003.10401 (2020) - [i6]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 abs/2004.12432 (2020) - [i5]Zeming Li, Yuchen Ma, Yukang Chen, Xiangyu Zhang, Jian Sun:
Joint COCO and Mapillary Workshop at ICCV 2019: COCO Instance Segmentation Challenge Track. CoRR abs/2010.02475 (2020)
2010 – 2019
- 2019
- [c2]Yukang Chen, Gaofeng Meng, Qian Zhang, Shiming Xiang, Chang Huang, Lisen Mu, Xinggang Wang:
RENAS: Reinforced Evolutionary Neural Architecture Search. CVPR 2019: 4787-4796 - [c1]Yukang Chen, Tong Yang, Xiangyu Zhang, Gaofeng Meng, Xinyu Xiao, Jian Sun:
DetNAS: Backbone Search for Object Detection. NeurIPS 2019: 6638-6648 - [i4]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 abs/1901.05884 (2019) - [i3]Yukang Chen, Tong Yang, Xiangyu Zhang, Gaofeng Meng, Chunhong Pan, Jian Sun:
DetNAS: Neural Architecture Search on Object Detection. CoRR abs/1903.10979 (2019) - 2018
- [j1]Bin Han, Yukang Chen:
Global Regularity to the Navier-Stokes equations for a class of Large initial Data. Math. Model. Anal. 23(2): 262-286 (2018) - [i2]Yukang Chen, Qian Zhang, Chang Huang, Lisen Mu, Gaofeng Meng, Xinggang Wang:
Reinforced Evolutionary Neural Architecture Search. CoRR abs/1808.00193 (2018) - [i1]Yukang Chen, Gaofeng Meng, Qian Zhang, Xinbang Zhang, Liangchen Song, Shiming Xiang, Chunhong Pan:
Joint Neural Architecture Search and Quantization. CoRR abs/1811.09426 (2018)
Coauthor Index
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last updated on 2024-10-16 21:21 CEST by the dblp team
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