Jianhui Chen

According to our database1, Jianhui Chen authored at least 85 papers between 2007 and 2019.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2019
Learning Sports Camera Selection From Internet Videos.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

2018
Traffic accident modelling via self-exciting point processes.
Rel. Eng. & Sys. Safety, 2018

Lightweight convolutional neural networks for player detection and classification.
Computer Vision and Image Understanding, 2018

A Two-Point Method for PTZ Camera Calibration in Sports.
Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

Camera Selection for Broadcasting Soccer Games.
Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

Automated Coronary Tree Segmentation for X-ray Angiography Sequences Using Fully-convolutional Neural Networks.
Proceedings of the IEEE Visual Communications and Image Processing, 2018

Teleoperation of Upper-Body Humanoid Robot Platform with Hybrid Motion Mapping Strategy.
Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2018

Control flow-guided SMT solving for program verification.
Proceedings of the 33rd ACM/IEEE International Conference on Automated Software Engineering, 2018

2017
New interval availability indexes for Markov repairable systems.
Rel. Eng. & Sys. Safety, 2017

The Raincouver Scene Parsing Benchmark for Self-Driving in Adverse Weather and at Night.
IEEE Robotics and Automation Letters, 2017

Automated mitosis detection in histopathology based on non-gaussian modeling of complex wavelet coefficients.
Neurocomputing, 2017

Automated grading of breast cancer histopathology using cascaded ensemble with combination of multi-level image features.
Neurocomputing, 2017

Developing a Provenance Warehouse for the Systematic Brain Informatics Study.
International Journal of Information Technology and Decision Making, 2017

Where should cameras look at soccer games: Improving smoothness using the overlapped hidden Markov model.
Computer Vision and Image Understanding, 2017

Link Prediction with Cardinality Constraint.
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

Learning Parametric Models for Context-Aware Query Auto-Completion via Hawkes Processes.
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

A depressive mood status quantitative reasoning method based on portable EEG and self-rating scale.
Proceedings of the International Conference on Web Intelligence, 2017

A knowledge-driven approach for personalized literature recommendation based on deep semantic discrimination.
Proceedings of the International Conference on Web Intelligence, 2017

A narrow-domain entity recognition method based on domain relevance measurement and context information.
Proceedings of the International Conference on Web Intelligence, 2017

Virtual force feedback in teleoperation for enhanced manipulator performance.
Proceedings of the 2017 IEEE International Conference on Real-time Computing and Robotics, 2017

Convex Factorization Machine for Toxicogenomics Prediction.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Backtracking regression forests for accurate camera relocalization.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Kinetic measures for distinguishing vulnerable from stable atherosclerotic plaque with dynamic contrast-enhanced MRI.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Link Prediction across Aligned Networks with Sparse and Low Rank Matrix Estimation.
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

Classification of Puck Possession Events in Ice Hockey.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

Light Cascaded Convolutional Neural Networks for Accurate Player Detection.
Proceedings of the British Machine Vision Conference 2017, 2017

A Framework of Online Learning with Imbalanced Streaming Data.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Efficient Ordered Combinatorial Semi-Bandits for Whole-Page Recommendation.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Optimal Stochastic Strongly Convex Optimization with a Logarithmic Number of Projections.
Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016

Ranking Relevance in Yahoo Search.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

An automatic breast cancer grading method in histopathological images based on pixel-, object-, and semantic-level features.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Learning Online Smooth Predictors for Realtime Camera Planning Using Recurrent Decision Trees.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

A Probabilistic Method for Linking BI Provenances to Open Knowledge Base.
Proceedings of the Brain Informatics and Health - International Conference, 2016

A Domain-Driven Literature Retrieval Method for Systematic Brain Informatics.
Proceedings of the Brain Informatics and Health - International Conference, 2016

Human Emotion Variation Analysis Based on EEG Signal and POMS Scale.
Proceedings of the Brain Informatics and Health - International Conference, 2016

A Provenance Driven Approach for Systematic EEG Data Analysis.
Proceedings of the Brain Informatics and Health - International Conference, 2016

Concept Recognition of Depression Drugs in Biomedical Literatures Using the Domain Relevance Measure.
Proceedings of the Brain Informatics and Health - International Conference, 2016

Exploiting Random RGB and Sparse Features for Camera Pose Estimation.
Proceedings of the British Machine Vision Conference 2016, 2016

WaaS - Wisdom as a Service.
Proceedings of the Wisdom Web of Things, 2016

Multi-level Big Data Content Services for Mental Health Care.
Proceedings of the Wisdom Web of Things, 2016

Research Challenges and Perspectives on Wisdom Web of Things (W2T).
Proceedings of the Wisdom Web of Things, 2016

2015
A Smart Hospital Information System for Mental Disorders.
Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 2015

Mimicking Human Camera Operators.
Proceedings of the 2015 IEEE Winter Conference on Applications of Computer Vision, 2015

A Personalized Method of Literature Recommendation Based on Brain Informatics Provenances.
Proceedings of the Brain Informatics and Health - 8th International Conference, 2015

Exploiting Task-Feature Co-Clusters in Multi-Task Learning.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
WaaS: Wisdom as a Service.
IEEE Intelligent Systems, 2014

Wavelet-based statistical features for distinguishing mitotic and non-mitotic cells in breast cancer histopathology.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Constructing Provenance Cubes Based on Semantic Neuroimaging Data Provenances.
Proceedings of the Semantic Web and Web Science - 8th Chinese Conference, 2014

Data-Brain Driven Documents Ranking for Constructing Brain Informatics Provenances.
Proceedings of the Brain Informatics and Health - International Conference, 2014

A Brain Informatics Research Recommendation System.
Proceedings of the Brain Informatics and Health - International Conference, 2014

Efficient Low-Rank Stochastic Gradient Descent Methods for Solving Semidefinite Programs.
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

Low-Rank and Sparse Multi-task Learning.
Proceedings of the Low-Rank and Sparse Modeling for Visual Analysis, 2014

2013
Toward the Data-Brain Driven Systematic Brain Data Analysis.
IEEE Trans. Systems, Man, and Cybernetics: Systems, 2013

Research challenges and perspectives on Wisdom Web of Things (W2T).
The Journal of Supercomputing, 2013

Shape perception of thin transparent objects with stereoscopic viewing.
TAP, 2013

A Convex Formulation for Learning a Shared Predictive Structure from Multiple Tasks.
IEEE Trans. Pattern Anal. Mach. Intell., 2013

Robust homography for real-time image un-distortion.
Proceedings of the International Conference on 3D Imaging, 2013

Developing a Brain Informatics Provenance Model.
Proceedings of the Brain and Health Informatics - International Conference, 2013

2012
Constructing a New-Style Conceptual Model of Brain Data for Systematic Brain Informatics.
IEEE Trans. Knowl. Data Eng., 2012

Data-Brain driven systematic human brain data analysis: A case study in numerical inductive reasoning centric investigation.
Cognitive Systems Research, 2012

Calibration for high-definition camera rigs with marker chessboard.
Proceedings of the 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2012

2011
Multi-Task Learning via Structured Regularization: Formulations, Algorithms, and Applications.
PhD thesis, 2011

Image re-targeting with balanced energy map and foreground constraint.
World Wide Web, 2011

Semantic Video Retrieval System Based on Ant Colony Algorithm and Relevant Feedback.
Proceedings of the Emerging Research in Web Information Systems and Mining, 2011

Clustered Multi-Task Learning Via Alternating Structure Optimization.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Integrating low-rank and group-sparse structures for robust multi-task learning.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

2010
Learning incoherent sparse and low-rank patterns from multiple tasks.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

Data-Brain driven multi-aspect mining process planning.
Proceedings of the International Joint Conference on Neural Networks, 2010

Towards Systematic Human Brain Data Management Using a Data-Brain Based GLS-BI System.
Proceedings of the Brain Informatics, International Conference, 2010

2009
Efficient Recovery of Jointly Sparse Vectors.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Large-scale sparse logistic regression.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

On Multiple Kernel Learning with Multiple Labels.
Proceedings of the IJCAI 2009, 2009

Learning the Optimal Neighborhood Kernel for Classification.
Proceedings of the IJCAI 2009, 2009

A convex formulation for learning shared structures from multiple tasks.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Data-Brain Modeling for Systematic Brain Informatics.
Proceedings of the Brain Informatics, International Conference, BI 2009, 2009

2008
Developmental stage annotation of Drosophila gene expression pattern images via an entire solution path for LDA.
TKDD, 2008

Multi-class Discriminant Kernel Learning via Convex Programming.
J. Mach. Learn. Res., 2008

Data-Brain Modeling Based on Brain Informatics Methodology.
Proceedings of the 2008 IEEE / WIC / ACM International Conference on Web Intelligence, 2008

Learning subspace kernels for classification.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Training SVM with indefinite kernels.
Proceedings of the Machine Learning, 2008

2007
Learning the kernel matrix in discriminant analysis via quadratically constrained quadratic programming.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

Nonlinear adaptive distance metric learning for clustering.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

A Denial-of-Service Resistant Authentication Solution for Security Protocols.
Proceedings of the Workshop on Intelligent Information Technology Application, 2007

Discriminant kernel and regularization parameter learning via semidefinite programming.
Proceedings of the Machine Learning, 2007

Integrating Global and Local Structures: A Least Squares Framework for Dimensionality Reduction.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007


  Loading...