Chen Lin

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 41

Top Topics

Neural Architecture

Character Recognition

Top Venues

Publications

Gengchen Wei, Xinle Pang, Tianning Zhang, Yu Sun, Xun Qian, Chen Lin, Hansen Zhong, Wanli Ouyang
DocReLM: Mastering Document Retrieval with Language Model. CoRR (2024)
Gengyuan Hu, Gengchen Wei, Zekun Lou, Philip H. S. Torr, Wanli Ouyang, Hansen Zhong, Chen Lin
Self-consistent Validation for Machine Learning Electronic Structure. CoRR (2024)
Chen Lin, Liheng Ma, Yiyang Chen, Wanli Ouyang, Michael M. Bronstein, Philip H. S. Torr
Revealing Decurve Flows for Generalized Graph Propagation. CoRR (2024)
Yu Sun, Dongzhan Zhou, Chen Lin, Conghui He, Wanli Ouyang, Hansen Zhong
LOCR: Location-Guided Transformer for Optical Character Recognition. CoRR (2024)
Liheng Ma, Chen Lin, Derek Lim, Adriana Romero-Soriano, Puneet K. Dokania, Mark Coates, Philip H. S. Torr, Ser-Nam Lim
Graph Inductive Biases in Transformers without Message Passing. CoRR (2023)
Keyu Tian, Yi Jiang, Qishuai Diao, Chen Lin, Liwei Wang, Zehuan Yuan
Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling. ICLR (2023)
Liheng Ma, Chen Lin, Derek Lim, Adriana Romero-Soriano, Puneet K. Dokania, Mark Coates, Philip H. S. Torr, Ser-Nam Lim
Graph Inductive Biases in Transformers without Message Passing. ICML (2023)
Keyu Tian, Yi Jiang, Qishuai Diao, Chen Lin, Liwei Wang, Zehuan Yuan
Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling. CoRR (2023)
Yuanzheng Ci, Chen Lin, Lei Bai, Wanli Ouyang
Fast-MoCo: Boost Momentum-Based Contrastive Learning with Combinatorial Patches. ECCV (26) (2022)
Peng Ye, Baopu Li, Tao Chen, Jiayuan Fan, Zhen Mei, Chen Lin, Chongyan Zuo, Qinghua Chi, Wanli Ouyang
Efficient Joint-Dimensional Search with Solution Space Regularization for Real-Time Semantic Segmentation. Int. J. Comput. Vis. 130 (11) (2022)
Peng Ye, Baopu Li, Tao Chen, Jiayuan Fan, Zhen Mei, Chen Lin, Chongyan Zuo, Qinghua Chi, Wanli Ouyang
Efficient Joint-Dimensional Search with Solution Space Regularization for Real-Time Semantic Segmentation. CoRR (2022)
Yuanzheng Ci, Chen Lin, Lei Bai, Wanli Ouyang
Fast-MoCo: Boost Momentum-based Contrastive Learning with Combinatorial Patches. CoRR (2022)
Boyu Chen, Peixia Li, Baopu Li, Chen Lin, Chuming Li, Ming Sun, Junjie Yan, Wanli Ouyang
BN-NAS: Neural Architecture Search with Batch Normalization. CoRR (2021)
Yuanzheng Ci, Chen Lin, Ming Sun, Boyu Chen, Hongwen Zhang, Wanli Ouyang
Evolving Search Space for Neural Architecture Search. ICCV (2021)
Boyu Chen, Peixia Li, Baopu Li, Chuming Li, Lei Bai, Chen Lin, Ming Sun, Junjie Yan, Wanli Ouyang
PSViT: Better Vision Transformer via Token Pooling and Attention Sharing. CoRR (2021)
Mingzhu Shen, Feng Liang, Ruihao Gong, Yuhang Li, Chuming Li, Chen Lin, Fengwei Yu, Junjie Yan, Wanli Ouyang
Once Quantization-Aware Training: High Performance Extremely Low-bit Architecture Search. ICCV (2021)
Keyu Tian, Chen Lin, Ser-Nam Lim, Wanli Ouyang, Puneet K. Dokania, Philip H. S. Torr
A Continuous Mapping For Augmentation Design. NeurIPS (2021)
Jie Liu, Chuming Li, Feng Liang, Chen Lin, Ming Sun, Junjie Yan, Wanli Ouyang, Dong Xu
Inception Convolution With Efficient Dilation Search. CVPR (2021)
Boyu Chen, Peixia Li, Baopu Li, Chen Lin, Chuming Li, Ming Sun, Junjie Yan, Wanli Ouyang
BN-NAS: Neural Architecture Search with Batch Normalization. ICCV (2021)
Boyu Chen, Peixia Li, Chuming Li, Baopu Li, Lei Bai, Chen Lin, Ming Sun, Junjie Yan, Wanli Ouyang
GLiT: Neural Architecture Search for Global and Local Image Transformer. ICCV (2021)
Boyu Chen, Peixia Li, Chuming Li, Baopu Li, Lei Bai, Chen Lin, Ming Sun, Junjie Yan, Wanli Ouyang
GLiT: Neural Architecture Search for Global and Local Image Transformer. CoRR (2021)
Ronghao Guo, Chen Lin, Chuming Li, Keyu Tian, Ming Sun, Lu Sheng, Junjie Yan
Powering One-Shot Topological NAS with Stabilized Share-Parameter Proxy. ECCV (14) (2020)
Jie Liu, Chen Lin, Chuming Li, Lu Sheng, Ming Sun, Junjie Yan, Wanli Ouyang
Adaptive Gradient Method with Resilience and Momentum. CoRR (2020)
Zihao Wang, Chen Lin, Lu Sheng, Junjie Yan, Jing Shao
PV-NAS: Practical Neural Architecture Search for Video Recognition. CoRR (2020)
Keyu Tian, Chen Lin, Ming Sun, Luping Zhou, Junjie Yan, Wanli Ouyang
Improving Auto-Augment via Augmentation-Wise Weight Sharing. NeurIPS (2020)
Feng Liang, Chen Lin, Ronghao Guo, Ming Sun, Wei Wu, Junjie Yan, Wanli Ouyang
Computation Reallocation for Object Detection. ICLR (2020)
Xiang Li, Chen Lin, Chuming Li, Ming Sun, Wei Wu, Junjie Yan, Wanli Ouyang
Improving One-Shot NAS by Suppressing the Posterior Fading. CVPR (2020)
Matthieu Lin, Chuming Li, Xingyuan Bu, Ming Sun, Chen Lin, Junjie Yan, Wanli Ouyang, Zhidong Deng
DETR for Pedestrian Detection. CoRR (2020)
Yuanzheng Ci, Chen Lin, Ming Sun, Boyu Chen, Hongwen Zhang, Wanli Ouyang
Evolving Search Space for Neural Architecture Search. CoRR (2020)
Jie Liu, Chuming Li, Feng Liang, Chen Lin, Ming Sun, Junjie Yan, Wanli Ouyang, Dong Xu
Inception Convolution with Efficient Dilation Search. CoRR (2020)
Keyu Tian, Chen Lin, Ming Sun, Luping Zhou, Junjie Yan, Wanli Ouyang
Improving Auto-Augment via Augmentation-Wise Weight Sharing. CoRR (2020)
Ronghao Guo, Chen Lin, Chuming Li, Keyu Tian, Ming Sun, Lu Sheng, Junjie Yan
Powering One-shot Topological NAS with Stabilized Share-parameter Proxy. CoRR (2020)
Mingzhu Shen, Feng Liang, Chuming Li, Chen Lin, Ming Sun, Junjie Yan, Wanli Ouyang
Once Quantized for All: Progressively Searching for Quantized Efficient Models. CoRR (2020)
Xiang Li, Chen Lin, Chuming Li, Ming Sun, Wei Wu, Junjie Yan, Wanli Ouyang
Improving One-shot NAS by Suppressing the Posterior Fading. CoRR (2019)
Chen Lin, Minghao Guo, Chuming Li, Xin Yuan, Wei Wu, Junjie Yan, Dahua Lin, Wanli Ouyang
Online Hyper-Parameter Learning for Auto-Augmentation Strategy. ICCV (2019)
Feng Liang, Chen Lin, Ronghao Guo, Ming Sun, Wei Wu, Junjie Yan, Wanli Ouyang
Computation Reallocation for Object Detection. CoRR (2019)
Chuming Li, Chen Lin, Minghao Guo, Wei Wu, Wanli Ouyang, Junjie Yan
AM-LFS: AutoML for Loss Function Search. CoRR (2019)
Chen Lin, Minghao Guo, Chuming Li, Wei Wu, Dahua Lin, Wanli Ouyang, Junjie Yan
Online Hyper-parameter Learning for Auto-Augmentation Strategy. CoRR (2019)
Chuming Li, Xin Yuan, Chen Lin, Minghao Guo, Wei Wu, Junjie Yan, Wanli Ouyang
AM-LFS: AutoML for Loss Function Search. ICCV (2019)
Chen Lin, Zhao Zhong, Wei Wu, Junjie Yan
Synaptic Strength For Convolutional Neural Network. CoRR (2018)
Chen Lin, Zhao Zhong, Wei Wu, Junjie Yan
Synaptic Strength For Convolutional Neural Network. NeurIPS (2018)