Zhouchen Lin

26.3k total citations · 10 hit papers
253 papers, 14.5k citations indexed

About

Zhouchen Lin is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Artificial Intelligence. According to data from OpenAlex, Zhouchen Lin has authored 253 papers receiving a total of 14.5k indexed citations (citations by other indexed papers that have themselves been cited), including 182 papers in Computer Vision and Pattern Recognition, 97 papers in Computational Mechanics and 70 papers in Artificial Intelligence. Recurrent topics in Zhouchen Lin's work include Sparse and Compressive Sensing Techniques (90 papers), Face and Expression Recognition (54 papers) and Image and Signal Denoising Methods (35 papers). Zhouchen Lin is often cited by papers focused on Sparse and Compressive Sensing Techniques (90 papers), Face and Expression Recognition (54 papers) and Image and Signal Denoising Methods (35 papers). Zhouchen Lin collaborates with scholars based in China, United States and Hong Kong. Zhouchen Lin's co-authors include Shuicheng Yan, Guangcan Liu, Yong Yu, Yi Ma, Canyi Lu, Ju Sun, Jiashi Feng, Heung‐Yeung Shum, Yudong Chen and Wei Liu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Proceedings of the IEEE and Scientific Reports.

In The Last Decade

Zhouchen Lin

248 papers receiving 14.2k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Robust Recovery of Subspace Structures by Low-Rank Representation

2012 2.7k citations Guangcan Liu, Zhouchen Lin et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →
Robust Subspace Segmentation by Low-Rank Representation

2010 1.0k citations Guangcan Liu, Zhouchen Lin et al. International Conference on Machine Learning profile →
Tensor Robust Principal Component Analysis with a New Tensor Nuclear Norm

2019 734 citations Canyi Lu, Jiashi Feng et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →
Expectation-Maximization Attention Networks for Semantic Segmentation

2019 446 citations Jianlong Wu, Zhouchen Lin et al. profile →
Tensor Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Tensors via Convex Optimization

2016 394 citations Canyi Lu, Jiashi Feng et al. profile →
Laplacian Regularized Low-Rank Representation and Its Applications

2015 349 citations Zhouchen Lin et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →
Fast Convex Optimization Algorithms for Exact Recovery of a Corrupted Low-Rank Matrix

2009 341 citations Zhouchen Lin, John Wright et al. profile →
Subspace Clustering by Block Diagonal Representation

2018 331 citations Canyi Lu, Jiashi Feng et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →
Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep Models

2024 57 citations Xingyu Xie, Pan Zhou et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →
Towards Understanding Convergence and Generalization of AdamW

2024 54 citations Pan Zhou, Xingyu Xie et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →

Peers

Countries citing papers authored by Zhouchen Lin

Since Specialization

Citations

This map shows the geographic impact of Zhouchen Lin's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Zhouchen Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhouchen Lin more than expected).

Fields of papers citing papers by Zhouchen Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zhouchen Lin. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Zhouchen Lin. The network helps show where Zhouchen Lin may publish in the future.

Co-authorship network of co-authors of Zhouchen Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Zhouchen Lin. A scholar is included among the top collaborators of Zhouchen Lin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Zhouchen Lin. Zhouchen Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	Proximity Matters: Local Proximity Enhanced Balancing for Treatment Effect Estimation 2025 ·Hao Wang, Zhichao Chen, Zhaoran Liu, Xu Chen, Haoxuan Li, Zhouchen Lin	1
2	Machine Learning Models to Predict Individual Cognitive Load in Collaborative Learning: Combining fNIRS and Eye-Tracking Data 2025 ·Machine Learning and Knowledge Extraction ·Wenli Chen, Zhouchen Lin, (unknown), (unknown), Farhan Ali, Wei‐Peng Teo	0
3	A Novel SHAP-GAN Network for Interpretable Ovarian Cancer Diagnosis 2025 ·Mathematics ·Jinhai Cai, Zne-Jung Lee, Zhouchen Lin, (unknown)	1
4	A Survey on Video Temporal Grounding With Multimodal Large Language Model 2025 ·IEEE Transactions on Pattern Analysis and Machine Intelligence ·Jianlong Wu, Wei Liu, Ye Liu, Meng Liu, (unknown), Zhouchen Lin, Chang Wen Chen	1
5	LION: Implicit Vision Prompt Tuning 2024 ·Proceedings of the AAAI Conference on Artificial Intelligence ·(unknown), Jianlong Chang, (unknown), Xiao Luo, (unknown), Zhouchen Lin, Qi Tian	11
6	An Integrated Algorithm with Feature Selection, Data Augmentation, and XGBoost for Ovarian Cancer 2024 ·Mathematics ·Jinhai Cai, Zne-Jung Lee, Zhouchen Lin, Chih-Hung Hsu, Yun Lin	3
7	Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep Models breakdown → 2024 ·IEEE Transactions on Pattern Analysis and Machine Intelligence ·Xingyu Xie, Pan Zhou, Huan Li, Zhouchen Lin, Shuicheng Yan	57
8	Visual Tuning 2024 ·ACM Computing Surveys ·Bruce X. B. Yu, Jianlong Chang, Haixin Wang, Lingbo Liu, (unknown), (unknown), (unknown), Lingxi Xie, Haojie Li, Zhouchen Lin, Qi Tian, Chang Wen Chen	13
9	SPIDE: A purely spike-based method for training feedback spiking neural networks 2023 ·Neural Networks ·Xiao Ming-qing, (unknown), Zongpeng Zhang, Yisen Wang, Zhouchen Lin	8
10	Efficient Equivariant Network 2021 ·Neural Information Processing Systems ·(unknown), Yuxuan Chen, Zhengyang Shen, (unknown), Yisen Wang, Zhouchen Lin	7
11	DATA: Differentiable ArchiTecture Approximation With Distribution Guided Sampling 2020 ·IEEE Transactions on Pattern Analysis and Machine Intelligence ·(unknown), Jianlong Chang, Yiwen Guo, Gaofeng Meng, Shiming Xiang, Zhouchen Lin, Chunhong Pan	11
12	Sharp Analysis for Nonconvex SGD Escaping from Saddle Points. 2019 ·Rare & Special e-Zone (The Hong Kong University of Science and Technology) ·Cong Fang, Zhouchen Lin, Tong Zhang	7
13	$\ell_{1}$ -Norm Heteroscedastic Discriminant Analysis Under Mixture of Gaussian Distributions 2018 ·IEEE Transactions on Neural Networks and Learning Systems ·Wenming Zheng, Cheng Lu, Zhouchen Lin, Tong Zhang, Zhen Cui, Wankou Yang	8
14	Label Information Guided Graph Construction for Semi-Supervised Learning 2017 ·IEEE Transactions on Image Processing ·Liansheng Zhuang, Zihan Zhou, Shenghua Gao, (unknown), Zhouchen Lin, Yi Ma	61
15	Bilinear Factor Matrix Norm Minimization for Robust PCA: Algorithms and Applications 2017 ·IEEE Transactions on Pattern Analysis and Machine Intelligence ·Fanhua Shang, James Cheng, Yuanyuan Liu, Zhi‐Quan Luo, Zhouchen Lin	133
16	Accelerated proximal gradient methods for nonconvex programming 2015 ·Neural Information Processing Systems ·Huan Li, Zhouchen Lin	142
17	Robust Subspace Segmentation with Block-Diagonal Prior 2014 ·Jiashi Feng, Zhouchen Lin, Huan Xu, Shuicheng Yan	160
18	Generalized Nonconvex Nonsmooth Low-Rank Minimization 2014 ·arXiv (Cornell University) ·Canyi Lu, Jinhui Tang, Shuicheng Yan, Zhouchen Lin	209
19	Robust Subspace Segmentation by Low-Rank Representation breakdown → 2010 ·International Conference on Machine Learning ·Guangcan Liu, Zhouchen Lin, Yong Yu	1048
20	Classification via Minimum Incremental Coding Length (MICL) 2007 ·SIAM Journal on Imaging Sciences ·John Wright, Yangyu Tao, Zhouchen Lin, Yi Ma, Heung‐Yeung Shum	8

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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