Jianhui Chen

Orcid: 0000-0001-6501-9819

According to our database1, Jianhui Chen authored at least 156 papers between 2007 and 2024.

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Bibliography

2024
Automatic Diagnosis of Depression Based on Facial Expression Information and Deep Convolutional Neural Network.
IEEE Trans. Comput. Soc. Syst., October, 2024

Experimental Analysis of IPMC Optical-Controlled Flexible Driving Performance under PLZT Ceramic Configuration.
Sensors, September, 2024

HRP-OG: Online Learning with Generative Feature Replay for Hypertension Risk Prediction in a Nonstationary Environment.
Sensors, August, 2024

Modeling Renewable Warranties and Post-Warranty Replacements for Self-Announcing Failure Products Subject to Mission Cycles.
Symmetry, May, 2024

Reliability modeling for balanced systems considering mission abort policies.
Reliab. Eng. Syst. Saf., March, 2024

FAformer: parallel Fourier-attention architectures benefits EEG-based affective computing with enhanced spatial information.
Neural Comput. Appl., 2024

Finding Safety Neurons in Large Language Models.
CoRR, 2024

Root Causing Prediction Anomalies Using Explainable AI.
CoRR, 2024

Bi-DenseNet: Automatic recognition of ocular surface disease using smartphone imaging.
Biomed. Signal Process. Control., 2024

Comparative Study of Frequency-based Modulations for Visible Light Communication.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2024


Arbitrary Convergence Time Control for Aerial Manipulator with TSK Estimator.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2024

MAVEN-ARG: Completing the Puzzle of All-in-One Event Understanding Dataset with Event Argument Annotation.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Lateral interaction by Laplacian-based graph smoothing for deep neural networks.
CAAI Trans. Intell. Technol., December, 2023

When does In-context Learning Fall Short and Why? A Study on Specification-Heavy Tasks.
CoRR, 2023

Joint Constrained Learning for Causal Event-Event Relation Extraction of Brain Connectome.
Proceedings of the IEEE International Conference on Web Intelligence and Intelligent Agent Technology, 2023

MixU-Net: Hybrid CNN-MLP Networks for Urinary Collecting System Segmentation.
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

A Novel Video-CTU Registration Method with Structural Point Similarity for FURS Navigation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

A Densely Connected Attention Spatiotemporal U-Net for Kidney and Renal Artery Segmentation in CT Images.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

DUP-Net: Double U-PoolFormer Networks for Renal Artery Segmentation in CT Urography.
Proceedings of the International Joint Conference on Neural Networks, 2023

2022
MR-KPA: medication recommendation by combining knowledge-enhanced pre-training with a deep adversarial network.
BMC Bioinform., December, 2022

Condition-based maintenance strategy for redundant systems with arbitrary structures using improved reinforcement learning.
Reliab. Eng. Syst. Saf., 2022

Reliability analysis for multi-state systems under K-mixed redundancy strategy considering switching failure.
Reliab. Eng. Syst. Saf., 2022

Information-Theoretic Online Multi-Camera Extrinsic Calibration.
IEEE Robotics Autom. Lett., 2022

Neuroimaging-ITM: A Text Mining Pipeline Combining Deep Adversarial Learning with Interaction Based Topic Modeling for Enabling the FAIR Neuroimaging Study.
Neuroinformatics, 2022

EmergEventMine: End-to-End Chinese Emergency Event Extraction Using a Deep Adversarial Network.
ISPRS Int. J. Geo Inf., 2022

GeneralizedDTA: combining pre-training and multi-task learning to predict drug-target binding affinity for unknown drug discovery.
BMC Bioinform., 2022

Environment-aware Path Planning for UAV-assisted Search and Rescue.
Proceedings of the 14th International Conference on Wireless Communications and Signal Processing, 2022

Data-Driven Loop Bound Learning for Termination Analysis.
Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

Unsupervised Domain Adaptation with Dual U-DenseTransformer Generation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021
Reliability Modeling for Sparsely Connected Homogeneous Multistate Consecutive-k-Out-of-n: GSystems.
IEEE Trans. Syst. Man Cybern. Syst., 2021

Leveraging Control Flow Knowledge in SMT Solving of Program Verification.
ACM Trans. Softw. Eng. Methodol., 2021

Multi-source brain computing with systematic fusion for smart health.
Inf. Fusion, 2021

Automatic vessel segmentation in X-ray angiogram using spatio-temporal fully-convolutional neural network.
Biomed. Signal Process. Control., 2021

SANTIA: a Matlab-based open-source toolbox for artifact detection and removal from extracellular neuronal signals.
Brain Informatics, 2021

A Water Quality Prediction Model Based on Knowledge- enhanced Deep Adversarial Network.
Proceedings of the WI-IAT '21: IEEE/WIC/ACM International Conference on Web Intelligence, Hybrid Event / Melbourne, VIC, Australia, December 14 - 17, 2021, 2021

Medication Recommendation Based on a Knowledge-enhanced Pre-training Model.
Proceedings of the WI-IAT '21: IEEE/WIC/ACM International Conference on Web Intelligence, Hybrid Event / Melbourne, VIC, Australia, December 14 - 17, 2021, 2021

Analyzing Neural Correlations Between Numerical Induction and Letter Induction Based on Data-Brain Driven Integration Evidence.
Proceedings of the WI-IAT '21: IEEE/WIC/ACM International Conference on Web Intelligence, Hybrid Event / Melbourne, VIC, Australia, December 14 - 17, 2021, 2021

Towards cascaded V-Net for automatic accurate kidney segmentation from abdominal CT images.
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

Abdominal CT urography kidney segmentation using spatiotemporal fully convolutional network.
Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021

Accurate 3d Kidney Segmentation Using Unsupervised Domain Translation And Adversarial Networks.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

BabelCalib: A Universal Approach to Calibrating Central Cameras.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Bayesian Graph Neural Networks for EEG-Based Emotion Recognition.
Proceedings of the Clinical Image-Based Procedures, Distributed and Collaborative Learning, Artificial Intelligence for Combating COVID-19 and Secure and Privacy-Preserving Machine Learning, 2021

Predicting Drug-Target Interactions Binding Affinity by Using Dual Updating Multi-task Learning.
Proceedings of the Computer Supported Cooperative Work and Social Computing, 2021

An Image-Enhanced Topic Modeling Method for Neuroimaging Literature.
Proceedings of the Brain Informatics - 14th International Conference, 2021

Exploring the Brain Information Processing Mechanisms from Functional Connectivity to Translational Applications.
Proceedings of the Brain Informatics - 14th International Conference, 2021

2020
A continuous learning method for recognizing named entities by integrating domain contextual relevance measurement and Web farming mode of Web intelligence.
World Wide Web, 2020

Wisdom as a Service for Mental Health Care.
IEEE Trans. Cloud Comput., 2020

Computational Insights into Molecular Activation and Positive Cooperative Mechanisms of FFAR1 Modulators.
J. Chem. Inf. Model., 2020

Gamma entrainment frequency affects mood, memory and cognition: an exploratory pilot study.
Brain Informatics, 2020

An event based topic learning pipeline for neuroimaging literature mining.
Brain Informatics, 2020

A Topic Learning Pipeline for Curating Brain Cognitive Researches.
IEEE Access, 2020

THINKING-LOOP: The Semantic Vector Driven Closed-Loop Model for Brain Computing.
IEEE Access, 2020

Adapting Grad-CAM for Embedding Networks.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Proving almost-sure termination by omega-regular decomposition.
Proceedings of the 41st ACM SIGPLAN International Conference on Programming Language Design and Implementation, 2020

Proving Termination by k-Induction.
Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering, 2020

2019
Analyzing Emotional Oscillatory Brain Network for Valence and Arousal-Based Emotion Recognition Using EEG Data.
Int. J. Inf. Technol. Decis. Mak., 2019

Balanced reliability systems under Markov processes.
IISE Trans., 2019

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

Sports Camera Calibration via Synthetic Data.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

A Multi-domain Named Entity Recognition Method Based on Part-of-Speech Attention Mechanism.
Proceedings of the Computer Supported Cooperative Work and Social Computing, 2019

Specificity Analysis of Picture-Induced Emotional EEG for Discrimination Between Schizophrenic and Control Participants.
Proceedings of the Brain Informatics - 12th International Conference, 2019

Weighted-LDA-TVM: Using a Weighted Topic Vector Model for Measuring Short Text Similarity.
Proceedings of the Brain Informatics - 12th International Conference, 2019

Pan-tilt-zoom SLAM for Sports Videos.
Proceedings of the 30th British Machine Vision Conference 2019, 2019

Research Sharing-Oriented Functional Neuroimaging Named Entity Recognition.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2018
Traffic accident modelling via self-exciting point processes.
Reliab. Eng. Syst. Saf., 2018

An Educational Data Mining Model for Supervision of Network Learning Process.
Int. J. Emerg. Technol. Learn., 2018

Lightweight convolutional neural networks for player detection and classification.
Comput. Vis. Image Underst., 2018

WaaS architecture-driven depressive mood status quantitative analysis based on forehead EEG and self-rating tool.
Brain Informatics, 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

Study on Indoor Combined Positioning Method Based on TDOA and IMU.
Proceedings of the Communications, Signal Processing, and Systems, 2018

2017
New interval availability indexes for Markov repairable systems.
Reliab. Eng. Syst. Saf., 2017

The Raincouver Scene Parsing Benchmark for Self-Driving in Adverse Weather and at Night.
IEEE Robotics Autom. Lett., 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.
Int. J. Inf. Technol. Decis. Mak., 2017

Where should cameras look at soccer games: Improving smoothness using the overlapped hidden Markov model.
Comput. Vis. Image Underst., 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 Intell. Syst., 2014

Sparse trace norm regularization.
Comput. Stat., 2014

Autonomous Camera Systems: A Survey.
Proceedings of the 3rd Workshop on Intelligent Cinematography and Editing, 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. Syst. Man Cybern. Syst., 2013

Research challenges and perspectives on Wisdom Web of Things (W2T).
J. Supercomput., 2013

Shape perception of thin transparent objects with stereoscopic viewing.
ACM Trans. Appl. Percept., 2013

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

Algorithm and implementation of joint trajectory planning for virtual robot's legs.
Proceedings of the IEEE International Conference on Information and Automation, 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

Learning Incoherent Sparse and Low-Rank Patterns from Multiple Tasks.
ACM Trans. Knowl. Discov. Data, 2012

Data-Brain driven systematic human brain data analysis: A case study in numerical inductive reasoning centric investigation.
Cogn. Syst. Res., 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
Training algorithm for radial basis function neural network based on quantum-behaved particle swarm optimization.
Int. J. Comput. Math., 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.
ACM Trans. Knowl. Discov. Data, 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


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