Synaptic Strength For Convolutional Neural Network. - Chen Lin 003; Zhao Zhong; Wei Wu 021; Junjie Yan (NeurIPS, 2018)

AM-LFS: AutoML for Loss Function Search. - Chuming Li; Xin Yuan; Chen Lin 003; Minghao Guo; Wei Wu 021; Junjie Yan; Wanli Ouyang (ICCV, 2019)

Online Hyper-Parameter Learning for Auto-Augmentation Strategy. - Chen Lin 003; Minghao Guo; Chuming Li; Xin Yuan; Wei Wu 021; Junjie Yan; Dahua Lin; Wanli Ouyang (ICCV, 2019)

Online Hyper-parameter Learning for Auto-Augmentation Strategy. - Chen Lin 003; Minghao Guo; Chuming Li; Wei Wu 021; Dahua Lin; Wanli Ouyang; Junjie Yan (CoRR, 2019)

AM-LFS: AutoML for Loss Function Search. - Chuming Li; Chen Lin 003; Minghao Guo; Wei Wu 021; Wanli Ouyang; Junjie Yan (CoRR, 2019)

Improving One-Shot NAS by Suppressing the Posterior Fading. - Xiang Li; Chen Lin 003; Chuming Li; Ming Sun 008; Wei Wu 021; Junjie Yan; Wanli Ouyang (CVPR, 2020)

Powering One-Shot Topological NAS with Stabilized Share-Parameter Proxy. - Ronghao Guo; Chen Lin 003; Chuming Li; Keyu Tian; Ming Sun 008; Lu Sheng; Junjie Yan (ECCV (14), 2020)

Computation Reallocation for Object Detection. - Feng Liang; Chen Lin 003; Ronghao Guo; Ming Sun 008; Wei Wu 021; Junjie Yan; Wanli Ouyang (ICLR, 2020)

Improving Auto-Augment via Augmentation-Wise Weight Sharing. - Keyu Tian; Chen Lin 003; Ming Sun 008; Luping Zhou; Junjie Yan; Wanli Ouyang (NeurIPS, 2020)

Once Quantized for All: Progressively Searching for Quantized Efficient Models. - Mingzhu Shen; Feng Liang; Chuming Li; Chen Lin 003; Ming Sun 008; Junjie Yan; Wanli Ouyang (CoRR, 2020)

Adaptive Gradient Method with Resilience and Momentum. - Jie Liu 047; Chen Lin 003; Chuming Li; Lu Sheng; Ming Sun 008; Junjie Yan; Wanli Ouyang (CoRR, 2020)

PV-NAS: Practical Neural Architecture Search for Video Recognition. - Zihao Wang; Chen Lin 003; Lu Sheng; Junjie Yan; Jing Shao (CoRR, 2020)

DETR for Pedestrian Detection. - Matthieu Lin; Chuming Li; Xingyuan Bu; Ming Sun 008; Chen Lin 003; Junjie Yan; Wanli Ouyang; Zhidong Deng (CoRR, 2020)

Inception Convolution With Efficient Dilation Search. - Jie Liu 047; Chuming Li; Feng Liang; Chen Lin 003; Ming Sun 008; Junjie Yan; Wanli Ouyang; Dong Xu 001 (CVPR, 2021)

BN-NAS: Neural Architecture Search with Batch Normalization. - Boyu Chen; Peixia Li; Baopu Li; Chen Lin 003; Chuming Li; Ming Sun 008; Junjie Yan; Wanli Ouyang (ICCV, 2021)

GLiT: Neural Architecture Search for Global and Local Image Transformer. - Boyu Chen; Peixia Li; Chuming Li; Baopu Li; Lei Bai 001; Chen Lin 003; Ming Sun 008; Junjie Yan; Wanli Ouyang (ICCV, 2021)

Evolving Search Space for Neural Architecture Search. - Yuanzheng Ci; Chen Lin 003; Ming Sun 008; Boyu Chen; Hongwen Zhang 001; Wanli Ouyang (ICCV, 2021)

Once Quantization-Aware Training: High Performance Extremely Low-bit Architecture Search. - Mingzhu Shen; Feng Liang; Ruihao Gong; Yuhang Li 001; Chuming Li; Chen Lin 003; Fengwei Yu; Junjie Yan; Wanli Ouyang (ICCV, 2021)

A Continuous Mapping For Augmentation Design. - Keyu Tian; Chen Lin 003; Ser-Nam Lim; Wanli Ouyang; Puneet K. Dokania; Philip H. S. Torr (NeurIPS, 2021)

PSViT: Better Vision Transformer via Token Pooling and Attention Sharing. - Boyu Chen; Peixia Li; Baopu Li; Chuming Li; Lei Bai 001; Chen Lin 003; Ming Sun 008; Junjie Yan; Wanli Ouyang (CoRR, 2021)

Fast-MoCo: Boost Momentum-Based Contrastive Learning with Combinatorial Patches. - Yuanzheng Ci; Chen Lin 003; Lei Bai 001; Wanli Ouyang (ECCV (26), 2022)

Efficient Joint-Dimensional Search with Solution Space Regularization for Real-Time Semantic Segmentation. - Peng Ye 006; Baopu Li; Tao Chen 003; Jiayuan Fan 001; Zhen Mei; Chen Lin 003; Chongyan Zuo; Qinghua Chi; Wanli Ouyang (Int. J. Comput. Vis., 2022)

Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling. - Keyu Tian; Yi Jiang; Qishuai Diao; Chen Lin 003; Liwei Wang; Zehuan Yuan (ICLR, 2023)

Graph Inductive Biases in Transformers without Message Passing. - Liheng Ma; Chen Lin 003; Derek Lim; Adriana Romero-Soriano; Puneet K. Dokania; Mark Coates; Philip H. S. Torr; Ser-Nam Lim (ICML, 2023)

LOCR: Location-Guided Transformer for Optical Character Recognition. - Yu Sun; Dongzhan Zhou; Chen Lin 003; Conghui He; Wanli Ouyang; Han-Sen Zhong (EMNLP (Findings), 2024)

Revealing Decurve Flows for Generalized Graph Propagation. - Chen Lin 003; Liheng Ma; Yiyang Chen; Wanli Ouyang; Michael M. Bronstein; Philip H. S. Torr (CoRR, 2024)

Self-consistent Validation for Machine Learning Electronic Structure. - Gengyuan Hu; Gengchen Wei; Zekun Lou; Philip H. S. Torr; Wanli Ouyang; Hansen Zhong; Chen Lin 003 (CoRR, 2024)

LOCR: Location-Guided Transformer for Optical Character Recognition. - Yu Sun; Dongzhan Zhou; Chen Lin 003; Conghui He; Wanli Ouyang; Hansen Zhong (CoRR, 2024)

DocReLM: Mastering Document Retrieval with Language Model. - Gengchen Wei; Xinle Pang; Tianning Zhang; Yu Sun; Xun Qian; Chen Lin 003; Hansen Zhong; Wanli Ouyang (CoRR, 2024)

Implicit Neural Representations for Chemical Reaction Paths. - Kalyan Ramakrishnan; Lars L. Schaaf; Chen Lin 003; Guangrun Wang; Philip Torr 001 (CoRR, 2025)

Scalable Equilibrium Sampling with Sequential Boltzmann Generators. - Charlie B. Tan; Avishek Joey Bose; Chen Lin 003; Leon Klein; Michael M. Bronstein; Alexander Tong 001 (CoRR, 2025)

Efficient and Universal Neural-Network Decoder for Stabilizer-Based Quantum Error Correction. - Gengyuan Hu; Wanli Ouyang; Chao-Yang Lu; Chen Lin 003; Han-Sen Zhong (CoRR, 2025)