Yukang Chen

According to our database, Yukang Chen authored at least 78 papers between 2018 and 2026.

Collaborative distances:

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

2026

MC#: Mixture Compressor for Mixture-of-Experts Large Models.

Wei Huang, Yue Liao, Yukang Chen, Jianhui Liu, Haoru Tan, Si Liu, Shiming Zhang, Shuicheng Yan, Xiaojuan Qi

IEEE Trans. Pattern Anal. Mach. Intell., July, 2026

Smaller Models are Natural Explorers for Policy-Level Diversity in GRPO.

Yiming Ren, Yiran Xu, Zicheng Lin, Chufan Shi, Yukang Chen, Dingdong Wang, Tianhe Wu, Junjie Wang, Yujiu Yang, Yu Qiao, Ruihang Chu

CoRR, May, 2026

LongLive-2.0: An NVFP4 Parallel Infrastructure for Long Video Generation.

Yukang Chen, Luozhou Wang, Wei Huang, Shuai Yang, Bohan Zhang, Yicheng Xiao, Ruihang Chu, Weian Mao, Qixin Hu, Shaoteng Liu, Yuyang Zhao, Huizi Mao, Ying-Cong Chen, Enze Xie, Xiaojuan Qi, Song Han

CoRR, May, 2026

TriAttention: Efficient Long Reasoning with Trigonometric KV Compression.

Weian Mao, Xi Lin, Wei Huang, Yuxin Xie, Tianfu Fu, Bohan Zhuang, Song Han, Yukang Chen

CoRR, April, 2026

SpatialEdit: Benchmarking Fine-Grained Image Spatial Editing.

Yicheng Xiao, Wenhu Zhang, Lin Song, Yukang Chen, Wenbo Li, Nan Jiang, Tianhe Ren, Haokun Lin, Wei Huang, Haoyang Huang, Xiu Li, Nan Duan, Xiaojuan Qi

CoRR, April, 2026

Monitoring of Anthracnose in litchi orchards in complex environments.

Jianfeng Zhang, Mei Liu, Song Yang, Yukang Chen, Jiasheng Chen

Comput. Electron. Agric., 2026

Towards High-Goodput LLM Serving with Prefill-decode Multiplexing.

Yukang Chen, Weihao Cui, Han Zhao, Ziyi Xu, Xiaoze Fan, Xusheng Chen, Yangjie Zhou, Shixuan Sun, Bingsheng He, Quan Chen

Proceedings of the 31st ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2026

TraveLLaMA: A Multimodal Travel Assistant with Large-Scale Dataset and Structured Reasoning.

Meng Chu, Yukang Chen, Haokun Gui, Shaozuo Yu, Yi Wang, Jiaya Jia

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Harli: SLO-Aware Co-location of LLM Inference and PEFT-based Finetuning on Model-as-a-Service Platforms.

Ao Xu, Han Zhao, Weihao Cui, Quan Chen, Yukang Chen, Shulai Zhang, Shuang Chen, Jiemin Jiang, Zhibin Yu, Minyi Guo

CoRR, November, 2025

OmniVinci: Enhancing Architecture and Data for Omni-Modal Understanding LLM.

Hanrong Ye, Chao-Han Huck Yang, Arushi Goel, Wei Huang, Ligeng Zhu, Yuanhang Su, Sean Lin, An-Chieh Cheng, Zhen Wan, Jinchuan Tian, Yuming Lou, Dong Yang, Zhijian Liu, Yukang Chen, Ambrish Dantrey, Ehsan Jahangiri, Sreyan Ghosh, Daguang Xu, Ehsan Hosseini-Asl, Danial Mohseni-Taheri, Vidya Murali, Sifei Liu, Yao Lu, Oluwatobi Olabiyi, Yu-Chiang Frank Wang, Rafael Valle, Bryan Catanzaro, Andrew Tao, Song Han, Jan Kautz, Hongxu Yin, Pavlo Molchanov

CoRR, October, 2025

QeRL: Beyond Efficiency - Quantization-enhanced Reinforcement Learning for LLMs.

Wei Huang, Yi Ge, Shuai Yang, Yicheng Xiao, Huizi Mao, Yujun Lin, Hanrong Ye, Sifei Liu, Ka Chun Cheung, Hongxu Yin, Yao Lu, Xiaojuan Qi, Song Han, Yukang Chen

CoRR, October, 2025

StreamingVLM: Real-Time Understanding for Infinite Video Streams.

Ruyi Xu, Guangxuan Xiao, Yukang Chen, Liuning He, Kelly Peng, Yao Lu, Song Han

CoRR, October, 2025

SANA-Video: Efficient Video Generation with Block Linear Diffusion Transformer.

Junsong Chen, Yuyang Zhao, Jincheng Yu, Ruihang Chu, Junyu Chen, Shuai Yang, Xianbang Wang, Yicheng Pan, Daquan Zhou, Huan Ling, Haozhe Liu, Hongwei Yi, Hao Zhang, Muyang Li, Yukang Chen, Han Cai, Sanja Fidler, Ping Luo, Song Han, Enze Xie

CoRR, September, 2025

LongLive: Real-time Interactive Long Video Generation.

Shuai Yang, Wei Huang, Ruihang Chu, Yicheng Xiao, Yuyang Zhao, Xianbang Wang, Muyang Li, Enze Xie, Yingcong Chen, Yao Lu, Song Han, Yukang Chen

CoRR, September, 2025

3D Aware Region Prompted Vision Language Model.

An-Chieh Cheng, Yang Fu, Yukang Chen, Zhijian Liu, Xiaolong Li, Subhashree Radhakrishnan, Song Han, Yao Lu, Jan Kautz, Pavlo Molchanov, Hongxu Yin, Xiaolong Wang, Sifei Liu

CoRR, September, 2025

TTS-VAR: A Test-Time Scaling Framework for Visual Auto-Regressive Generation.

Zhekai Chen, Ruihang Chu, Yukang Chen, Shiwei Zhang, Yujie Wei, Yingya Zhang, Xihui Liu

CoRR, July, 2025

TraveLLaMA: Facilitating Multi-modal Large Language Models to Understand Urban Scenes and Provide Travel Assistance.

Meng Chu, Yukang Chen, Haokun Gui, Shaozuo Yu, Yi Wang, Jiaya Jia

CoRR, April, 2025

Optimizing SLO-oriented LLM Serving with PD-Multiplexing.

Weihao Cui, Yukang Chen, Han Zhao, Ziyi Xu, Quan Chen, Xusheng Chen, Yangjie Zhou, Shixuan Sun, Minyi Guo

CoRR, April, 2025

WorldModelBench: Judging Video Generation Models As World Models.

Dacheng Li, Yunhao Fang, Yukang Chen, Shuo Yang, Shiyi Cao, Justin Wong, Michael Luo, Xiaolong Wang, Hongxu Yin, Joseph E. Gonzalez, Ion Stoica, Song Han, Yao Lu

CoRR, February, 2025

Structural Insight into the Inactive/Active States of 5-HT1AR and Molecular Mechanisms of Electric Fields in Modulating 5-HT1AR.

Lulu Guan, Bote Qi, Jingwang Tan, Yukang Chen, Yunxiang Sun, Qingwen Zhang, Yu Zou

J. Chem. Inf. Model., 2025

In-Sensor Reservoir Computing Using Ferroelectric Optoelectronic Synapse for Near-Infrared Face Recognition.

Wenyu Songlu, Quan Chen, Yi Cao, Han Wang, Han Chen, Weihui Sang, Yang Gan, Shijia Tian, Yuan Yu, Zhou Xin, Yukang Chen, Shuming Guo, Lin Wang, Xumeng Zhang, Tao Liu, Du Xiang

Adv. Intell. Syst., 2025

MindOmni: Unleashing Reasoning Generation in Vision Language Models with RGPO.

Yicheng Xiao, Lin Song, Yukang Chen, Yingmin Luo, Yuxin Chen, Yukang Gan, Wei Huang, Xiu Li, Xiaojuan Qi, Ying Shan

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Scaling RL to Long Videos.

Yukang Chen, Wei Huang, Baifeng Shi, Qinghao Hu, Hanrong Ye, Ligeng Zhu, Zhijian Liu, Pavlo Molchanov, Jan Kautz, Xiaojuan Qi, Sifei Liu, Hongxu Yin, Yao Lu, Song Han

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

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

Yukang Chen, Fuzhao Xue, Dacheng Li, Qinghao Hu, Ligeng Zhu, Xiuyu Li, Yunhao Fang, Haotian Tang, Shang Yang, Zhijian Liu, Yihui He, Hongxu Yin, Pavlo Molchanov, Jan Kautz, Linxi Fan, Yuke Zhu, Yao Lu, Song Han

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

LYRA: An Efficient and Speech-Centric Framework for Omni-Cognition.

Zhisheng Zhong, Chengyao Wang, Yuqi Liu, Senqiao Yang, Longxiang Tang, Yuechen Zhang, Jingyao Li, Tianyuan Qu, Yanwei Li, Yukang Chen, Shaozuo Yu, Sitong Wu, Eric Lo, Shu Liu, Jiaya Jia

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

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

Shuai Yang, Yuying Ge, Yang Li, Yukang Chen, Yixiao Ge, Ying Shan, Yingcong Chen

Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

Mixture-of-Scores: Robust Image-Text Data Valuation via Three Lines of Code.

Sitong Wu, Haoru Tan, Yukang Chen, Shaofeng Zhang, Jingyao Li, Bei Yu, Xiaojuan Qi, Jiaya Jia

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

SparseVILA: Decoupling Visual Sparsity for Efficient VLM Inference.

Samir Khaki, Junxian Guo, Jiaming Tang, Shang Yang, Yukang Chen, Konstantinos N. Plataniotis, Yao Lu, Song Han, Zhijian Liu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

VisionZip: Longer is Better but Not Necessary in Vision Language Models.

Senqiao Yang, Yukang Chen, Zhuotao Tian, Chengyao Wang, Jingyao Li, Bei Yu, Jiaya Jia

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

NVILA: Efficient Frontier Visual Language Models.

Zhijian Liu, Ligeng Zhu, Baifeng Shi, Zhuoyang Zhang, Yuming Lou, Shang Yang, Haocheng Xi, Shiyi Cao, Yuxian Gu, Dacheng Li, Xiuyu Li, Haotian Tang, Yunhao Fang, Yukang Chen, Cheng-Yu Hsieh, De-An Huang, An-Chieh Cheng, Jinyi Hu, Sifei Liu, Ranjay Krishna, Pavlo Molchanov, Jan Kautz, Hongxu Yin, Song Han, Yao Lu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

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

NVILA: Efficient Frontier Visual Language Models.

Zhijian Liu, Ligeng Zhu, Baifeng Shi, Zhuoyang Zhang, Yuming Lou, Shang Yang, Haocheng Xi, Shiyi Cao, Yuxian Gu, Dacheng Li, Xiuyu Li, Yunhao Fang, Yukang Chen, Cheng-Yu Hsieh, De-An Huang, An-Chieh Cheng, Vishwesh Nath, Jinyi Hu, Sifei Liu, Ranjay Krishna, Daguang Xu, Xiaolong Wang, Pavlo Molchanov, Jan Kautz, Hongxu Yin, Song Han, Yao Lu

CoRR, 2024

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

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

CoRR, 2024

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

Xin Lai, Zhuotao Tian, Yukang Chen, Senqiao Yang, Xiangru Peng, Jiaya Jia

CoRR, 2024

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

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

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

MR-Ben: A Meta-Reasoning Benchmark for Evaluating System-2 Thinking in LLMs.

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

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 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

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Denoising Diffusion Step-aware Models.

Shuai Yang, Yukang Chen, Luozhou Wang, Shu Liu, Ying-Cong Chen

Proceedings of the Twelfth International Conference on Learning Representations, 2024

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

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

Proceedings of the Twelfth International Conference on Learning Representations, 2024

SaCo Loss: Sample-Wise Affinity Consistency for Vision-Language Pre-Training.

Sitong Wu, Haoru Tan, Zhuotao Tian, Yukang Chen, Xiaojuan Qi, Jiaya Jia

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Low-Rank Approximation for Sparse Attention in Multi-Modal LLMs.

Lin Song, Yukang Chen, Shuai Yang, Xiaohan Ding, Yixiao Ge, Ying-Cong Chen, Ying Shan

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

LISA: Reasoning Segmentation via Large Language Model.

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

E2-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

Proceedings of the Findings of the Association for Computational Linguistics, 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

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

Virtual Target Based Multi-agent Surrounding Approach.

Weiping Zhu, Haoyang Li, Ning Ding, Yukang Chen, Yufei Sun, Chao Ma, Wei Li

Proceedings of the 19th International Conference on Mobility, Sensing and Networking, 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

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