Jun Li

According to our database, Jun Li authored at least 83 papers between 2008 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

InOR-Net: Incremental 3-D Object Recognition Network for Point Cloud Representation.

Jiahua Dong, Yang Cong, Gan Sun, Lixu Wang, Lingjuan Lyu, Jun Li, Ender Konukoglu

IEEE Trans. Neural Networks Learn. Syst., October, 2023

LRPRNet: Lightweight Deep Network by Low-Rank Pointwise Residual Convolution.

Bin Sun, Jun Li, Ming Shao, Yun Fu

IEEE Trans. Neural Networks Learn. Syst., August, 2023

From Ensemble Clustering to Subspace Clustering: Cluster Structure Encoding.

Zhiqiang Tao, Jun Li, Huazhu Fu, Yu Kong, Yun Fu

IEEE Trans. Neural Networks Learn. Syst., May, 2023

Quality-aware pattern diffusion for video object segmentation.

Chuanwei Zhou, Chunyan Xu, Jun Li, Zhen Cui, Jian Yang

Neurocomputing, April, 2023

Fast subspace clustering by learning projective block diagonal representation.

Yesong Xu, Shuo Chen, Jun Li, Chunyan Xu, Jian Yang

Pattern Recognit., 2023

TSSAT: Two-Stage Statistics-Aware Transformation for Artistic Style Transfer.

Haibo Chen, Lei Zhao, Jun Li, Jian Yang

CoRR, 2023

Create Your World: Lifelong Text-to-Image Diffusion.

Gan Sun, Wenqi Liang, Jiahua Dong, Jun Li, Zhengming Ding, Yang Cong

CoRR, 2023

Learnable Differencing Center for Nighttime Depth Perception.

Zhiqiang Yan, Yupeng Zheng, Kun Wang, Xiang Li, Zhenyu Zhang, Shuo Chen, Jun Li, Jian Yang

CoRR, 2023

Variable Radiance Field for Real-Life Category-Specifc Reconstruction from Single Image.

Kun Wang, Zhiqiang Yan, Zhenyu Zhang, Xiang Li, Jun Li, Jian Yang

CoRR, 2023

Non-aligned supervision for Real Image Dehazing.

Junkai Fan, Fei Guo, Jianjun Qian, Xiang Li, Jun Li, Jian Yang

CoRR, 2023

InOR-Net: Incremental 3D Object Recognition Network for Point Cloud Representation.

Jiahua Dong, Yang Cong, Gan Sun, Lixu Wang, Lingjuan Lyu, Jun Li, Ender Konukoglu

CoRR, 2023

Recurrent Structure Attention Guidance for Depth Super-Resolution.

Jiayi Yuan, Haobo Jiang, Xiang Li, Jianjun Qian, Jun Li, Jian Yang

CoRR, 2023

Structure Flow-Guided Network for Real Depth Super-Resolution.

Jiayi Yuan, Haobo Jiang, Xiang Li, Jianjun Qian, Jun Li, Jian Yang

CoRR, 2023

TSSAT: Two-Stage Statistics-Aware Transformation for Artistic Style Transfer.

Haibo Chen, Lei Zhao, Jun Li, Jian Yang

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Creative Birds: Self-Supervised Single-View 3D Style Transfer.

Renke Wang, Guimin Que, Shuo Chen, Xiang Li, Jun Li, Jian Yang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

DesNet: Decomposed Scale-Consistent Network for Unsupervised Depth Completion.

Zhiqiang Yan, Kun Wang, Xiang Li, Zhenyu Zhang, Jun Li, Jian Yang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Curriculum Temperature for Knowledge Distillation.

Zheng Li, Xiang Li, Lingfeng Yang, Borui Zhao, Renjie Song, Lei Luo, Jun Li, Jian Yang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Learnable Subspace Clustering.

Jun Li, Hongfu Liu, Zhiqiang Tao, Handong Zhao, Yun Fu

IEEE Trans. Neural Networks Learn. Syst., 2022

Deep Learning for Fashion Style Generation.

Shuhui Jiang, Jun Li, Yun Fu

IEEE Trans. Neural Networks Learn. Syst., 2022

CBi-GNN: Cross-Scale Bilateral Graph Neural Network for 3D Object Detection.

Jiaxin Chen, Xiang Li, Jin Xie, Jun Li, Jianjun Qian, Jian Yang

IEEE Trans. Intell. Transp. Syst., 2022

Self-Supervised Multi-Category Counting Networks for Automatic Check-Out.

Hao Chen, Yangzhun Zhou, Jun Li, Xiu-Shen Wei, Liang Xiao

IEEE Trans. Image Process., 2022

Fast and Lightweight Network for Single Frame Structured Illumination Microscopy Super-Resolution.

Xi Cheng, Jun Li, Qiang Dai, Zhenyong Fu, Jian Yang

IEEE Trans. Instrum. Meas., 2022

Autoencoder-Based Latent Block-Diagonal Representation for Subspace Clustering.

Yesong Xu, Shuo Chen, Jun Li, Zongyan Han, Jian Yang

IEEE Trans. Cybern., 2022

Large-Scale Subspace Clustering by Independent Distributed and Parallel Coding.

Jun Li, Zhiqiang Tao, Yue Wu, Bineng Zhong, Yun Fu

IEEE Trans. Cybern., 2022

Fast Multi-View Outlier Detection via Deep Encoder.

Dongdong Hou, Yang Cong, Gan Sun, Jiahua Dong, Jun Li, Kai Li

IEEE Trans. Big Data, 2022

Streaming feature selection via graph diffusion.

Wei Zheng, Shuo Chen, Zhenyong Fu, Jun Li, Jian Yang

Inf. Sci., 2022

Learning Contrastive Embedding in Low-Dimensional Space.

Shuo Chen, Chen Gong, Jun Li, Jian Yang, Gang Niu, Masashi Sugiyama

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

PPT: Anomaly Detection Dataset of Printed Products with Templates.

Huang Tian, Xiang Li, Lingfeng Yang, Jun Li, Jian Yang, Weidong Du

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

RigNet: Repetitive Image Guided Network for Depth Completion.

Zhiqiang Yan, Kun Wang, Xiang Li, Zhenyu Zhang, Jun Li, Jian Yang

Proceedings of the Computer Vision - ECCV 2022, 2022

Multi-modal Masked Pre-training for Monocular Panoramic Depth Completion.

Zhiqiang Yan, Xiang Li, Kun Wang, Zhenyu Zhang, Jun Li, Jian Yang

Proceedings of the Computer Vision - ECCV 2022, 2022

Industrial Style Transfer with Large-scale Geometric Warping and Content Preservation.

Jinchao Yang, Fei Guo, Shuo Chen, Jun Li, Jian Yang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Learning Clothes-irrelevant Cues for Clothes-Changing Person Re-identification.

Jingyi Mu, Yong Li, Jun Li, Jian Yang

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

Linearity-Aware Subspace Clustering.

Yesong Xu, Shuo Chen, Jun Li, Jianjun Qian

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Clustering With Outlier Removal.

Hongfu Liu, Jun Li, Yue Wu, Yun Fu

IEEE Trans. Knowl. Data Eng., 2021

Learnable low-rank latent dictionary for subspace clustering.

Yesong Xu, Shuo Chen, Jun Li, Lei Luo, Jian Yang

Pattern Recognit., 2021

Fast and Light-Weight Network for Single Frame Structured Illumination Microscopy Super-Resolution.

Xi Cheng, Jun Li, Qiang Dai, Zhenyong Fu, Jian Yang

CoRR, 2021

RigNet: Repetitive Image Guided Network for Depth Completion.

Zhiqiang Yan, Kun Wang, Xiang Li, Zhenyu Zhang, Baobei Xu, Jun Li, Jian Yang

CoRR, 2021

G-Net: a Recurrent Network Approach to G-Computation for Counterfactual Prediction Under a Dynamic Treatment Regime.

Rui Li, Stephanie M. Hu, Mingyu Lu, Yuria Utsumi, Prithwish Chakraborty, Daby M. Sow, Piyush Madan, Jun Li, Mohamed F. Ghalwash, Zach Shahn, Li-Wei H. Lehman

Proceedings of the Machine Learning for Health, 2021

Large-Margin Contrastive Learning with Distance Polarization Regularizer.

Shuo Chen, Gang Niu, Chen Gong, Jun Li, Jian Yang, Masashi Sugiyama

Proceedings of the 38th International Conference on Machine Learning, 2021

Regularizing Nighttime Weirdness: Efficient Self-supervised Monocular Depth Estimation in the Dark.

Kun Wang, Zhenyu Zhang, Zhiqiang Yan, Xiang Li, Baobei Xu, Jun Li, Jian Yang

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Sampling Network Guided Cross-Entropy Method for Unsupervised Point Cloud Registration.

Haobo Jiang, Yaqi Shen, Jin Xie, Jun Li, Jianjun Qian, Jian Yang

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Generalized Focal Loss V2: Learning Reliable Localization Quality Estimation for Dense Object Detection.

Xiang Li, Wenhai Wang, Xiaolin Hu, Jun Li, Jinhui Tang, Jian Yang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Line-CNN: End-to-End Traffic Line Detection With Line Proposal Unit.

Xiang Li, Jun Li, Xiaolin Hu, Jian Yang

IEEE Trans. Intell. Transp. Syst., 2020

Learning Semantically Enhanced Feature for Fine-Grained Image Classification.

Wei Luo, Hengmin Zhang, Jun Li, Xiu-Shen Wei

IEEE Signal Process. Lett., 2020

G-Net: A Deep Learning Approach to G-computation for Counterfactual Outcome Prediction Under Dynamic Treatment Regimes.

Rui Li, Zach Shahn, Jun Li, Mingyu Lu, Prithwish Chakraborty, Daby Sow, Mohamed F. Ghalwash, Li-Wei H. Lehman

CoRR, 2020

Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection.

Xiang Li, Wenhai Wang, Lijun Wu, Shuo Chen, Xiaolin Hu, Jun Li, Jinhui Tang, Jian Yang

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Block Mobilenet: Align Large-Pose Faces with <1MB Model Size.

Bin Sun, Jun Li, Yun Fu

Proceedings of the 15th IEEE International Conference on Automatic Face and Gesture Recognition, 2020

Lifelong Spectral Clustering.

Gan Sun, Yang Cong, Qianqian Wang, Jun Li, Yun Fu

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Robust Low-Rank Discovery of Data-Driven Partial Differential Equations.

Jun Li, Gan Sun, Guoshuai Zhao, Li-Wei H. Lehman

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Deep Alignment Network Based Multi-Person Tracking With Occlusion and Motion Reasoning.

Qinqin Zhou, Bineng Zhong, Yulun Zhang, Jun Li, Yun Fu

IEEE Trans. Multim., 2019

Hierarchical Tracking by Reinforcement Learning-Based Searching and Coarse-to-Fine Verifying.

Bineng Zhong, Bing Bai, Jun Li, Yulun Zhang, Yun Fu

IEEE Trans. Image Process., 2019

LPRNet: Lightweight Deep Network by Low-rank Pointwise Residual Convolution.

Bin Sun, Jun Li, Ming Shao, Yun Fu

CoRR, 2019

Curvilinear Distance Metric Learning.

Shuo Chen, Lei Luo, Jian Yang, Chen Gong, Jun Li, Heng Huang

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Adversarial Graph Embedding for Ensemble Clustering.

Zhiqiang Tao, Hongfu Liu, Jun Li, Zhaowen Wang, Yun Fu

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Cross-X Learning for Fine-Grained Visual Categorization.

Wei Luo, Xitong Yang, Xianjie Mo, Yuheng Lu, Larry Davis, Jun Li, Jian Yang, Ser-Nam Lim

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Data-Adaptive Metric Learning with Scale Alignment.

Shuo Chen, Chen Gong, Jian Yang, Ying Tai, Le Hui, Jun Li

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Convolutional Sparse Autoencoders for Image Classification.

Wei Luo, Jun Li, Jian Yang, Wei Xu, Jian Zhang

IEEE Trans. Neural Networks Learn. Syst., 2018

Visual Representation and Classification by Learning Group Sparse Deep Stacking Network.

Jun Li, Heyou Chang, Jian Yang, Wei Luo, Yun Fu

IEEE Trans. Image Process., 2018

Improving face representation learning with center invariant loss.

Yue Wu, Hongfu Liu, Jun Li, Yun Fu

Image Vis. Comput., 2018

Predictive Local Smoothness for Stochastic Gradient Methods.

Jun Li, Hongfu Liu, Bineng Zhong, Yue Wu, Yun Fu

CoRR, 2018

Adversarial Metric Learning.

Shuo Chen, Chen Gong, Jian Yang, Xiang Li, Yang Wei, Jun Li

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Robust Lifelong Multi-task Multi-view Representation Learning.

Gan Sun, Yang Cong, Jun Li, Yun Fu

Proceedings of the 2018 IEEE International Conference on Big Knowledge, 2018

Predictive Coding Machine for Compressed Sensing and Image Denoising.

Jun Li, Hongfu Liu, Yun Fu

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Sparseness Analysis in the Pretraining of Deep Neural Networks.

Jun Li, Tong Zhang, Wei Luo, Jian Yang, Xiao-Tong Yuan, Jian Zhang

IEEE Trans. Neural Networks Learn. Syst., 2017

Deeply Learned View-Invariant Features for Cross-View Action Recognition.

Yu Kong, Zhengming Ding, Jun Li, Yun Fu

IEEE Trans. Image Process., 2017

Convergence Analysis of Parallel Multi-block ADMM via Discrete-time Recurrent Neural Networks.

Jun Li, Hongfu Liu, Yue Wu, Yun Fu

CoRR, 2017

Deep Face Recognition with Center Invariant Loss.

Yue Wu, Hongfu Liu, Jun Li, Yun Fu

Proceedings of the on Thematic Workshops of ACM Multimedia 2017, Mountain View, CA, USA, October 23, 2017

Large-scale Subspace Clustering by Fast Regression Coding.

Jun Li, Handong Zhao, Zhiqiang Tao, Yun Fu

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Projective Low-rank Subspace Clustering via Learning Deep Encoder.

Jun Li, Hongfu Liu, Handong Zhao, Yun Fu

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Sparse Subspace Clustering by Learning Approximation ℓ0 Codes.

Jun Li, Yu Kong, Yun Fu

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Learning Fast Low-Rank Projection for Image Classification.

Jun Li, Yu Kong, Handong Zhao, Jian Yang, Yun Fu

IEEE Trans. Image Process., 2016

Deep Convolutional Neural Network with Independent Softmax for Large Scale Face Recognition.

Yue Wu, Jun Li, Yu Kong, Yun Fu

Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

Super Resolution of the Partial Pixelated Images With Deep Convolutional Neural Network.

Haiyi Mao, Yue Wu, Jun Li, Yun Fu

Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

Object segmentation using low-rank representation with multiple block-diagonal priors.

Lingzheng Dai, Jundi Ding, Jinhui Chen, Jun Li, Jian Yang

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

2015

Higher-level feature combination via multiple kernel learning for image classification.

Wei Luo, Jian Yang, Wei Xu, Jun Li, Jian Zhang

Neurocomputing, 2015

Learning Sparse Features in Convolutional Neural Networks for Image Classification.

Wei Luo, Jun Li, Wei Xu, Jian Yang

Proceedings of the Intelligence Science and Big Data Engineering. Image and Video Data Engineering, 2015

Sparse Deep Stacking Network for Image Classification.

Jun Li, Heyou Chang, Jian Yang

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Continuous attractors of higher-order recurrent neural networks with infinite neurons.

Jun Li, Jian Yang, Xiaotong Yuan, Zhaohua Hu

Neurocomputing, 2014

Learning discriminative low-rank representation for image classification.

Jun Li, Heyou Chang, Jian Yang

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

2013

Why does the unsupervised pretraining encourage moderate-sparseness?

Jun Li, Wei Luo, Jian Yang, Xiaotong Yuan

CoRR, 2013

2012

Stability and periodicity of discrete Hopfield neural networks with column arbitrary-magnitude-dominant weight matrix.

Jun Li, Jian Yang, Weigen Wu

Neurocomputing, 2012

Continuous attractors of recurrent neural networks with complex-valued weights.

Jun Li, Jian Yang, Yongfeng Diao

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

2008

The Research on Dynamic Replication and Placement of File Using Dual-Threshold Dynamic File Migration Algorithm.

Xiuyan Guo, Jun Li, Jian Yang, Jinlin Wang

Proceedings of the International Conference on Computer Science and Software Engineering, 2008