Publications by authors named "Zhouchen Lin"

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ClusMatch: Improving Deep Clustering by Unified Positive and Negative Pseudo-Label Learning.
Jianlong Wu, Zihan Li, Wei Sun, Jianhua Yin, Liqiang Nie, Zhouchen Lin

IEEE Trans Pattern Anal Mach Intell· November 2025

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A Survey on Video Temporal Grounding with Multimodal Large Language Model.
Jianlong Wu, Wei Liu, Ye Liu, Meng Liu, Liqiang Nie, Zhouchen Lin

IEEE Trans Pattern Anal Mach Intell· September 2025

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Symmetry discovery for different data types.
Lexiang Hu, Yikang Li, Zhouchen Lin

Neural Netw· August 2025

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Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep Models.
Xingyu Xie, Pan Zhou, Huan Li, Zhouchen Lin, Shuicheng Yan

IEEE Trans Pattern Anal Mach Intell· December 2024

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Panoptic-PartFormer++: A Unified and Decoupled View for Panoptic Part Segmentation.
Xiangtai Li, Shilin Xu, Yibo Yang, Haobo Yuan, Guangliang Cheng, Zhouchen Lin

IEEE Trans Pattern Anal Mach Intell· December 2024

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Designing Universally-Approximating Deep Neural Networks: A First-Order Optimization Approach.
Zhoutong Wu, Mingqing Xiao, Cong Fang, Zhouchen Lin

IEEE Trans Pattern Anal Mach Intell· September 2024

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Towards Understanding Convergence and Generalization of AdamW.
Pan Zhou, Xingyu Xie, Zhouchen Lin, Shuicheng Yan

IEEE Trans Pattern Anal Mach Intell· September 2024

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Bilevel optimization for automated machine learning: a new perspective on framework and algorithm.
Risheng Liu, Zhouchen Lin

Natl Sci Rev· August 2024

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Efficient learning of Scale-Adaptive Nearly Affine Invariant Networks.
Zhengyang Shen, Yeqing Qiu, Jialun Liu, Lingshen He, Zhouchen Lin

Neural Netw· June 2024

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Sampling complex topology structures for spiking neural networks.
Shen Yan, Qingyan Meng, Mingqing Xiao, Yisen Wang, Zhouchen Lin

Neural Netw· April 2024

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Efficient and generalizable cross-patient epileptic seizure detection through a spiking neural network.
Zongpeng Zhang, Mingqing Xiao, Taoyun Ji, Yuwu Jiang, Tong Lin, Zhouchen Lin

Front Neurosci· January 2024

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Structured Sparsity Optimization With Non-Convex Surrogates of l-Norm: A Unified Algorithmic Framework.
Xiaoqin Zhang, Jingjing Zheng, Di Wang, Guiying Tang, Zhengyuan Zhou, Zhouchen Lin

IEEE Trans Pattern Anal Mach Intell· May 2023

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SPIDE: A purely spike-based method for training feedback spiking neural networks.
Mingqing Xiao, Qingyan Meng, Zongpeng Zhang, Yisen Wang, Zhouchen Lin

Neural Netw· April 2023

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Optimization Induced Equilibrium Networks: An Explicit Optimization Perspective for Understanding Equilibrium Models.
Xingyu Xie, Qiuhao Wang, Zenan Ling, Xia Li, Guangcan Liu, Zhouchen Lin

IEEE Trans Pattern Anal Mach Intell· March 2023

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E
Equilibrium Image Denoising With Implicit Differentiation.
Qi Chen, Yifei Wang, Zhengyang Geng, Yisen Wang, Jiansheng Yang, Zhouchen Lin

IEEE Trans Image Process· March 2023

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Investigating Bi-Level Optimization for Learning and Vision From a Unified Perspective: A Survey and Beyond.
Risheng Liu, Jiaxin Gao, Jin Zhang, Deyu Meng, Zhouchen Lin

IEEE Trans Pattern Anal Mach Intell· December 2022

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Learning Deep Sparse Regularizers With Applications to Multi-View Clustering and Semi-Supervised Classification.
Shiping Wang, Zhaoliang Chen, Shide Du, Zhouchen Lin

IEEE Trans Pattern Anal Mach Intell· September 2022

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Training much deeper spiking neural networks with a small number of time-steps.
Qingyan Meng, Shen Yan, Mingqing Xiao, Yisen Wang, Zhouchen Lin

Neural Netw· September 2022

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Training Neural Networks by Lifted Proximal Operator Machines.
Jia Li, Mingqing Xiao, Cong Fang, Yue Dai, Chao Xu, Zhouchen Lin

IEEE Trans Pattern Anal Mach Intell· June 2022

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Tensor Recovery With Weighted Tensor Average Rank.
Xiaoqin Zhang, Jingjing Zheng, Li Zhao, Zhengyuan Zhou, Zhouchen Lin

IEEE Trans Neural Netw Learn Syst· June 2022

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Accelerated Variance Reduction Stochastic ADMM for Large-Scale Machine Learning.
Yuanyuan Liu, Fanhua Shang, Hongying Liu, Lin Kong, Licheng Jiao, Zhouchen Lin

IEEE Trans Pattern Anal Mach Intell· December 2021

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DATA: Differentiable ArchiTecture Approximation With Distribution Guided Sampling.
Xinbang Zhang, Jianlong Chang, Yiwen Guo, Gaofeng Meng, Shiming Xiang, Zhouchen Lin

IEEE Trans Pattern Anal Mach Intell· September 2021

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Towards Efficient Scene Understanding via Squeeze Reasoning.
Xiangtai Li, Xia Li, Ansheng You, Li Zhang, Guangliang Cheng, Zhouchen Lin

IEEE Trans Image Process· August 2021

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A Hybrid Stochastic-Deterministic Minibatch Proximal Gradient Method for Efficient Optimization and Generalization.
Pan Zhou, Xiaotong Yuan, Zhouchen Lin, Steven Hoi

IEEE Trans Pattern Anal Mach Intell· June 2021

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Tensor Low-Rank Representation for Data Recovery and Clustering.
Pan Zhou, Canyi Lu, Jiashi Feng, Zhouchen Lin, Shuicheng Yan

IEEE Trans Pattern Anal Mach Intell· May 2021

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