Junchi Yan

According to our database1, Junchi Yan authored at least 88 papers between 2009 and 2019.

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Bibliography

2019
Joint Active Learning with Feature Selection via CUR Matrix Decomposition.
IEEE Trans. Pattern Anal. Mach. Intell., 2019

Special issue on deep learning for intelligent sensing, decision-making and control.
Neurocomputing, 2019

Differential Privacy with Variant-Noise for Gaussian Processes Classification.
Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

Modeling and Applications for Temporal Point Processes.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

TransMS: Knowledge Graph Embedding for Complex Relations by Multidirectional Semantics.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Graph Convolutional Network Hashing for Cross-Modal Retrieval.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Learning Interpretable Deep State Space Model for Probabilistic Time Series Forecasting.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Joint Link Prediction and Network Alignment via Cross-graph Embedding.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018
A Self-Paced Regularization Framework for Multilabel Learning.
IEEE Trans. Neural Netw. Learning Syst., 2018

Adaptive Discrete Hypergraph Matching.
IEEE Trans. Cybernetics, 2018

End-to-end learning for image-based air quality level estimation.
Mach. Vis. Appl., 2018

Contour detection via stacking random forest learning.
Neurocomputing, 2018

On the flexibility of block coordinate descent for large-scale optimization.
Neurocomputing, 2018

Publication Popularity Modeling via Adversarial Learning of Profile-Specific Dynamic Process.
IEEE Access, 2018

Generalizing Graph Matching beyond Quadratic Assignment Model.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Group Re-Identification: Leveraging and Integrating Multi-Grain Information.
Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

Deep Extreme Multi-label Learning.
Proceedings of the 2018 ACM on International Conference on Multimedia Retrieval, 2018

Decoupled Learning for Factorial Marked Temporal Point Processes.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Weakly Supervised Audio Source Separation via Spectrum Energy Preserved Wasserstein Learning.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Improving Maximum Likelihood Estimation of Temporal Point Process via Discriminative and Adversarial Learning.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Learning Sequential Correlation for User Generated Textual Content Popularity Prediction.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Collaborative and Attentive Learning for Personalized Image Aesthetic Assessment.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Multi-Label Dilated Recurrent Network for Sequential Face Alignment.
Proceedings of the 2018 IEEE International Conference on Multimedia and Expo, 2018

Incremental Multi-graph Matching via Diversity and Randomness Based Graph Clustering.
Proceedings of the Computer Vision - ECCV 2018, 2018

Joint Cuts and Matching of Partitions in One Graph.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Session Expert: a Lightweight Conference Session Recommender System.
Proceedings of the IEEE International Conference on Big Data, 2018

Tau-FPL: Tolerance-Constrained Learning in Linear Time.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Learning Conditional Generative Models for Temporal Point Processes.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Tracking Based Multi-Orientation Scene Text Detection: A Unified Framework With Dynamic Programming.
IEEE Trans. Image Processing, 2017

Learning Correspondence Structures for Person Re-Identification.
IEEE Trans. Image Processing, 2017

A Tube-and-Droplet-Based Approach for Representing and Analyzing Motion Trajectories.
IEEE Trans. Pattern Anal. Mach. Intell., 2017

Guest Editorial: Visual Multimedia Learning from Big Surveillance Data.
Multimedia Tools Appl., 2017

Personalized Key Frame Recommendation.
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

Wasserstein Learning of Deep Generative Point Process Models.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Early Air Pollution Forecasting as a Service: An Ensemble Learning Approach.
Proceedings of the 2017 IEEE International Conference on Web Services, 2017

Hybrid Measurement of Air Quality as a Mobile Service: An Image Based Approach.
Proceedings of the 2017 IEEE International Conference on Web Services, 2017

Fractal Dimension Invariant Filtering and Its CNN-Based Implementation.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

A Divide-and-Conquer Approach for Large-Scale Multi-label Learning.
Proceedings of the Third IEEE International Conference on Multimedia Big Data, 2017

Transductive Non-linear Learning for Chinese Hypernym Prediction.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

Modeling the Intensity Function of Point Process Via Recurrent Neural Networks.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Unsupervised Deep Learning for Optical Flow Estimation.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

On Predictive Patent Valuation: Forecasting Patent Citations and Their Types.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Self-Paced Multi-Task Learning.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

GLOMA: Embedding Global Information in Local Matrix Approximation Models for Collaborative Filtering.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Discriminative Dictionary Learning With Common Label Alignment for Cross-Modal Retrieval.
IEEE Trans. Multimedia, 2016

Multi-Graph Matching via Affinity Optimization with Graduated Consistency Regularization.
IEEE Trans. Pattern Anal. Mach. Intell., 2016

Joint Prediction of Rating and Popularity for Cold-Start Item by Sentinel User Selection.
IEEE Access, 2016

On Estimating Air Pollution from Photos Using Convolutional Neural Network.
Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

A Short Survey of Recent Advances in Graph Matching.
Proceedings of the 2016 ACM on International Conference on Multimedia Retrieval, 2016

Modeling Contagious Merger and Acquisition via Point Processes with a Profile Regression Prior.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

On Modeling and Predicting Individual Paper Citation Count over Time.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

MPMA: Mixture Probabilistic Matrix Approximation for Collaborative Filtering.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

A constrained clustering based approach for matching a collection of feature sets.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Low-Rank Matrix Approximation with Stability.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Parallel Randomized Block Coordinate Descent for Neural Probabilistic Language Model with High-Dimensional Output Targets.
Proceedings of the Pattern Recognition - 7th Chinese Conference, 2016

Spatially Regularized Streaming Sensor Selection.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

End-to-End Solution with Clustering Method for Attrition Analysis.
Proceedings of the IEEE International Conference on Services Computing, 2016

2015
Consistency-Driven Alternating Optimization for Multigraph Matching: A Unified Approach.
IEEE Trans. Image Processing, 2015

Sales pipeline win propensity prediction: A regression approach.
Proceedings of the IFIP/IEEE International Symposium on Integrated Network Management, 2015

Person re-identification fusing via ranking consensus.
Proceedings of the 7th International Conference on Internet Multimedia Computing and Service, 2015

A Matrix Decomposition Perspective to Multiple Graph Matching.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Person Re-Identification with Correspondence Structure Learning.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Discrete hyper-graph matching.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

On Machine Learning towards Predictive Sales Pipeline Analytics.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Multi-View Point Registration via Alternating Optimization.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Digital IIR Filter Design with Fix-Point Representation Using Effective Evolutionary Local Search Enhanced Differential Evolution.
Proceedings of the Computational Intelligence in Digital and Network Designs and Applications, 2015

2014
Predicting protein-RNA interaction amino acids using random forest based on submodularity subset selection.
Computational Biology and Chemistry, 2014

Sufficient Statistics Feature Mapping over Deep Boltzmann Machine for Detection.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Graduated Consistency-Regularized Optimization for Multi-graph Matching.
Proceedings of the Computer Vision - ECCV 2014, 2014

Maximizing Multi-scale Spatial Statistical Discrepancy.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

2013
Two-stage based ensemble optimization framework for large-scale global optimization.
European Journal of Operational Research, 2013

Towards Effective Prioritizing Water Pipe Replacement and Rehabilitation.
Proceedings of the IJCAI 2013, 2013

Joint Optimization for Consistent Multiple Graph Matching.
Proceedings of the IEEE International Conference on Computer Vision, 2013

2012
On the Convergence of Graph Matching: Graduated Assignment Revisited.
Proceedings of the Computer Vision - ECCV 2012, 2012

2011
Weighted sparse coding residual minimization for visual tracking.
Proceedings of the 2011 IEEE Visual Communications and Image Processing, 2011

Sparse Feature Learning for Visual Tracking by Least Absolute Shrinkage and Selection Operator.
Proceedings of the Sixth International Conference on Image and Graphics, 2011

A Double-Layer Model for Foreground Detection from Video Sequence.
Proceedings of the Sixth International Conference on Image and Graphics, 2011

2010
Visual Saliency Detection via Sparsity Pursuit.
IEEE Signal Process. Lett., 2010

An Optimization Based Framework for Human Pose Estimation.
IEEE Signal Process. Lett., 2010

Model-based 3D human motion tracking and voxel reconstruction from sparse views.
Proceedings of the International Conference on Image Processing, 2010

Visual saliency detection via rank-sparsity decomposition.
Proceedings of the International Conference on Image Processing, 2010

Tensor error correction for corrupted values in visual data.
Proceedings of the International Conference on Image Processing, 2010

A Bayesian framework for 3D human motion tracking from monocular image.
Proceedings of the IEEE International Conference on Acoustics, 2010

Optimum Subspace Learning and Error Correction for Tensors.
Proceedings of the Computer Vision, 2010

2009
Improving Semantic Scene Categorization by Exploiting Audio-Visual Features.
Proceedings of the Fifth International Conference on Image and Graphics, 2009

Markless Human Motion Capture by Voxel Labeling.
Proceedings of the Fifth International Conference on Image and Graphics, 2009

An Accelerated Human Motion Tracking System Based on Voxel Reconstruction under Complex Environments.
Proceedings of the Computer Vision, 2009

Visual Saliency Based on Conditional Entropy.
Proceedings of the Computer Vision, 2009


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