Jun Li

Orcid: 0000-0001-5845-8602

Affiliations:
  • Nanjing University of Science and Technology, School of Computer Science and Engineering, PCA Lab, Nanjing, China
  • Northeastern University, Department of Electrical and Computer Engineering, Boston, MA, USA (2015 - 2018)
  • Nanjing University of Science and Technology, School of Computer Science and Technology, China (PhD 2015)


According to our database1, Jun Li authored at least 85 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Learning Complementary Correlations for Depth Super-Resolution With Incomplete Data in Real World.
IEEE Trans. Neural Networks Learn. Syst., April, 2024

Learnable differencing center for nighttime depth perception.
Vis. Intell., 2024

2023
InOR-Net: Incremental 3-D Object Recognition Network for Point Cloud Representation.
IEEE Trans. Neural Networks Learn. Syst., October, 2023

LRPRNet: Lightweight Deep Network by Low-Rank Pointwise Residual Convolution.
IEEE Trans. Neural Networks Learn. Syst., August, 2023

From Ensemble Clustering to Subspace Clustering: Cluster Structure Encoding.
IEEE Trans. Neural Networks Learn. Syst., May, 2023

Quality-aware pattern diffusion for video object segmentation.
Neurocomputing, April, 2023

Fast subspace clustering by learning projective block diagonal representation.
Pattern Recognit., 2023

TSSAT: Two-Stage Statistics-Aware Transformation for Artistic Style Transfer.
CoRR, 2023

Create Your World: Lifelong Text-to-Image Diffusion.
CoRR, 2023

Learnable Differencing Center for Nighttime Depth Perception.
CoRR, 2023

Variable Radiance Field for Real-Life Category-Specifc Reconstruction from Single Image.
CoRR, 2023

Non-aligned supervision for Real Image Dehazing.
CoRR, 2023

InOR-Net: Incremental 3D Object Recognition Network for Point Cloud Representation.
CoRR, 2023

Recurrent Structure Attention Guidance for Depth Super-Resolution.
CoRR, 2023

Structure Flow-Guided Network for Real Depth Super-Resolution.
CoRR, 2023

TSSAT: Two-Stage Statistics-Aware Transformation for Artistic Style Transfer.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Creative Birds: Self-Supervised Single-View 3D Style Transfer.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

DesNet: Decomposed Scale-Consistent Network for Unsupervised Depth Completion.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Curriculum Temperature for Knowledge Distillation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Learnable Subspace Clustering.
IEEE Trans. Neural Networks Learn. Syst., 2022

Deep Learning for Fashion Style Generation.
IEEE Trans. Neural Networks Learn. Syst., 2022

CBi-GNN: Cross-Scale Bilateral Graph Neural Network for 3D Object Detection.
IEEE Trans. Intell. Transp. Syst., 2022

Self-Supervised Multi-Category Counting Networks for Automatic Check-Out.
IEEE Trans. Image Process., 2022

Fast and Lightweight Network for Single Frame Structured Illumination Microscopy Super-Resolution.
IEEE Trans. Instrum. Meas., 2022

Autoencoder-Based Latent Block-Diagonal Representation for Subspace Clustering.
IEEE Trans. Cybern., 2022

Large-Scale Subspace Clustering by Independent Distributed and Parallel Coding.
IEEE Trans. Cybern., 2022

Fast Multi-View Outlier Detection via Deep Encoder.
IEEE Trans. Big Data, 2022

Streaming feature selection via graph diffusion.
Inf. Sci., 2022

Learning Contrastive Embedding in Low-Dimensional Space.
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.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

RigNet: Repetitive Image Guided Network for Depth Completion.
Proceedings of the Computer Vision - ECCV 2022, 2022

Multi-modal Masked Pre-training for Monocular Panoramic Depth Completion.
Proceedings of the Computer Vision - ECCV 2022, 2022

Industrial Style Transfer with Large-scale Geometric Warping and Content Preservation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Learning Clothes-irrelevant Cues for Clothes-Changing Person Re-identification.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

Linearity-Aware Subspace Clustering.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Clustering With Outlier Removal.
IEEE Trans. Knowl. Data Eng., 2021

Learnable low-rank latent dictionary for subspace clustering.
Pattern Recognit., 2021

Fast and Light-Weight Network for Single Frame Structured Illumination Microscopy Super-Resolution.
CoRR, 2021

RigNet: Repetitive Image Guided Network for Depth Completion.
CoRR, 2021

G-Net: a Recurrent Network Approach to G-Computation for Counterfactual Prediction Under a Dynamic Treatment Regime.
Proceedings of the Machine Learning for Health, 2021

Large-Margin Contrastive Learning with Distance Polarization Regularizer.
Proceedings of the 38th International Conference on Machine Learning, 2021

Regularizing Nighttime Weirdness: Efficient Self-supervised Monocular Depth Estimation in the Dark.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Sampling Network Guided Cross-Entropy Method for Unsupervised Point Cloud Registration.
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.
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.
IEEE Trans. Intell. Transp. Syst., 2020

Learning Semantically Enhanced Feature for Fine-Grained Image Classification.
IEEE Signal Process. Lett., 2020

G-Net: A Deep Learning Approach to G-computation for Counterfactual Outcome Prediction Under Dynamic Treatment Regimes.
CoRR, 2020

Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection.
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.
Proceedings of the 15th IEEE International Conference on Automatic Face and Gesture Recognition, 2020

Lifelong Spectral Clustering.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Robust Low-Rank Discovery of Data-Driven Partial Differential Equations.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Deep Alignment Network Based Multi-Person Tracking With Occlusion and Motion Reasoning.
IEEE Trans. Multim., 2019

Hierarchical Tracking by Reinforcement Learning-Based Searching and Coarse-to-Fine Verifying.
IEEE Trans. Image Process., 2019

LPRNet: Lightweight Deep Network by Low-rank Pointwise Residual Convolution.
CoRR, 2019

Curvilinear Distance Metric Learning.
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.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Cross-X Learning for Fine-Grained Visual Categorization.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Data-Adaptive Metric Learning with Scale Alignment.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Convolutional Sparse Autoencoders for Image Classification.
IEEE Trans. Neural Networks Learn. Syst., 2018

Visual Representation and Classification by Learning Group Sparse Deep Stacking Network.
IEEE Trans. Image Process., 2018

Improving face representation learning with center invariant loss.
Image Vis. Comput., 2018

Predictive Local Smoothness for Stochastic Gradient Methods.
CoRR, 2018

Adversarial Metric Learning.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Robust Lifelong Multi-task Multi-view Representation Learning.
Proceedings of the 2018 IEEE International Conference on Big Knowledge, 2018

Predictive Coding Machine for Compressed Sensing and Image Denoising.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Sparseness Analysis in the Pretraining of Deep Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., 2017

Deeply Learned View-Invariant Features for Cross-View Action Recognition.
IEEE Trans. Image Process., 2017

Convergence Analysis of Parallel Multi-block ADMM via Discrete-time Recurrent Neural Networks.
CoRR, 2017

Deep Face Recognition with Center Invariant Loss.
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.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Projective Low-rank Subspace Clustering via Learning Deep Encoder.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Sparse Subspace Clustering by Learning Approximation ℓ0 Codes.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Learning Fast Low-Rank Projection for Image Classification.
IEEE Trans. Image Process., 2016

Deep Convolutional Neural Network with Independent Softmax for Large Scale Face Recognition.
Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

Super Resolution of the Partial Pixelated Images With Deep Convolutional Neural Network.
Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

Object segmentation using low-rank representation with multiple block-diagonal priors.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

2015
Higher-level feature combination via multiple kernel learning for image classification.
Neurocomputing, 2015

Learning Sparse Features in Convolutional Neural Networks for Image Classification.
Proceedings of the Intelligence Science and Big Data Engineering. Image and Video Data Engineering, 2015

Sparse Deep Stacking Network for Image Classification.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Continuous attractors of higher-order recurrent neural networks with infinite neurons.
Neurocomputing, 2014

Learning discriminative low-rank representation for image classification.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

2013
Why does the unsupervised pretraining encourage moderate-sparseness?
CoRR, 2013

2012
Stability and periodicity of discrete Hopfield neural networks with column arbitrary-magnitude-dominant weight matrix.
Neurocomputing, 2012

Continuous attractors of recurrent neural networks with complex-valued weights.
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.
Proceedings of the International Conference on Computer Science and Software Engineering, 2008


  Loading...