Zhidong Li

Orcid: 0000-0003-3288-5547

According to our database1, Zhidong Li authored at least 64 papers between 2008 and 2024.

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

Timeline

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PhD thesis 
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Bibliography

2024
Few-Shot Stereo Matching with High Domain Adaptability Based on Adaptive Recursive Network.
Int. J. Comput. Vis., May, 2024

A model-driven dual-derivation framework for quantitative fault detection in satellite power system.
Adv. Eng. Informatics, 2024

Interpretable Transformer Hawkes Processes: Unveiling Complex Interactions in Social Networks.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

TransFeat-TPP: An Interpretable Deep Covariate Temporal Point Processes.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

2023
Heterogeneous domain adaptation by semantic distribution alignment network.
Appl. Intell., June, 2023

Deep learning for anterior segment OCT angiography automated denoising and vascular quantitative measurement.
Biomed. Signal Process. Control., May, 2023

Fault Diagnosis and Task Evaluation of Satellite Power subsystem Based on Digital Twin Modeling and Simulation.
Proceedings of the CAA Symposium on Fault Detection, 2023

Fair Representation Learning with Unreliable Labels.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022
An Analytical Investigation of Anomaly Detection Methods Based on Sequence to Sequence Model in Satellite Power Subsystem.
Sensors, 2022

De-biased Representation Learning for Fairness with Unreliable Labels.
CoRR, 2022

Does a Compromise on Fairness Exist in Using AI Models?
Proceedings of the AI 2022: Advances in Artificial Intelligence, 2022

2021
Efficient EM-variational inference for nonparametric Hawkes process.
Stat. Comput., 2021

Exploring Chinese Feng Shui Culture for Achieving Sustainability.
Int. J. Inf. Syst. Soc. Chang., 2021

Multi-task learning by hierarchical Dirichlet mixture model for sparse failure prediction.
Int. J. Data Sci. Anal., 2021

Impact of glacier changes in the Himalayan Plateau disaster.
Ecol. Informatics, 2021

A Multi-task Kernel Learning Algorithm for Survival Analysis.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Satellite On-2rbit Anomaly Detection and Adaptive Model Updating Method.
Proceedings of the 8th International Conference on Dependable Systems and Their Applications, 2021

Analytical Investigation of Anomaly Detection Methods based on Time-Domain Features and Autoencoders in Satellite Power Subsystem.
Proceedings of the 8th International Conference on Dependable Systems and Their Applications, 2021

Failure Prediction for Large-scale Water Pipe Networks Using GNN and Temporal Failure Series.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Bias-tolerant Fair Classification.
Proceedings of the Asian Conference on Machine Learning, 2021

2020
Fast multi-resolution segmentation for nonstationary Hawkes process using cumulants.
Int. J. Data Sci. Anal., 2020

Utilizing machine learning to prevent water main breaks by understanding pipeline failure drivers.
CoRR, 2020

Long-Term Pipeline Failure Prediction Using Nonparametric Survival Analysis.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track, 2020

Simultaneous Customer Segmentation and Behavior Discovery.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

A Data Driven Approach for Leak Detection with Smart Sensors.
Proceedings of the 16th International Conference on Control, 2020

2019
Detecting Anomalies of Satellite Power Subsystem via Stage-Training Denoising Autoencoders.
Sensors, 2019

Multi-objective optimization of energy consumption in crude oil pipeline transportation system operation based on exergy loss analysis.
Neurocomputing, 2019

Scalable Inference for Nonparametric Hawkes Process Using Pólya-Gamma Augmentation.
CoRR, 2019

Hawkes Process with Stochastic Triggering Kernel.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Multitask Learning for Sparse Failure Prediction.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Recovering DTW Distance Between Noise Superposed NHPP.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Exploring Latent Structure Similarity for Bayesian Nonparameteric Model with Mixture of NHPP Sequence.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

Predicting Water Quality for the Woronora Delivery Network with Sparse Samples.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Effects of Influence on User Trust in Predictive Decision Making.
Proceedings of the Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems, 2019

Physiological Indicators for User Trust in Machine Learning with Influence Enhanced Fact-Checking.
Proceedings of the Machine Learning and Knowledge Extraction, 2019

2018
Domain Knowledge in Predictive Maintenance for Water Pipe Failures.
Proceedings of the Human and Machine Learning, 2018

End-User Development for Interactive Data Analytics: Uncertainty, Correlation and User Confidence.
IEEE Trans. Affect. Comput., 2018

A Refined MISD Algorithm Based on Gaussian Process Regression.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Long-Term RNN: Predicting Hazard Function for Proactive Maintenance of Water Mains.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2016
Making machine learning useable by revealing internal states update - a transparent approach.
Int. J. Comput. Sci. Eng., 2016

Robust Bayesian non-parametric dictionary learning with heterogeneous Gaussian noise.
Comput. Vis. Image Underst., 2016

2015
Measurable Decision Making with GSR and Pupillary Analysis for Intelligent User Interface.
ACM Trans. Comput. Hum. Interact., 2015

Data Driven Water Pipe Failure Prediction: A Bayesian Nonparametric Approach.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

2014
Water pipe condition assessment: a hierarchical beta process approach for sparse incident data.
Mach. Learn., 2014

2013
Visual understanding by salient proto-objects.
PhD thesis, 2013

Visual tracking by proto-objects.
Pattern Recognit., 2013

A Bayesian non-parametric viewpoint to visual tracking.
Proceedings of the 2013 IEEE Workshop on Applications of Computer Vision, 2013

Indexing cognitive workload based on pupillary response under luminance and emotional changes.
Proceedings of the 18th International Conference on Intelligent User Interfaces, 2013

The Effect of Stress on Cognitive Load Measurement.
Proceedings of the Human-Computer Interaction - INTERACT 2013, 2013

2012
New Robust H ∞ Fuzzy Control for the Interconnected Bilinear Systems Subject to Actuator Saturation.
Proceedings of the Advances in Neural Networks - ISNN 2012, 2012

2011
Feature fusion for vehicle detection and tracking with low-angle cameras.
Proceedings of the IEEE Workshop on Applications of Computer Vision (WACV 2011), 2011

Saliency detection based on proto-objects and topic model.
Proceedings of the IEEE Workshop on Applications of Computer Vision (WACV 2011), 2011

2010
Vehicle detection and tracking with low-angle cameras.
Proceedings of the International Conference on Image Processing, 2010

Saliency based joint topic discovery for object categorization.
Proceedings of the International Conference on Image Processing, 2010

Image Topic Discovery with Saliency Detection.
Proceedings of the British Machine Vision Conference, 2010

Affinity Propagation Feature Clustering with Application to Vehicle Detection and Tracking in Road Traffic Surveillance.
Proceedings of the Seventh IEEE International Conference on Advanced Video and Signal Based Surveillance, 2010

Spatial-Temporal Affinity Propagation for Feature Clustering with Application to Traffic Video Analysis.
Proceedings of the Computer Vision - ACCV 2010, 2010

Unsupervised Moving Object Detection with On-line Generalized Hough Transform.
Proceedings of the Computer Vision - ACCV 2010, 2010

2009
A Machine Learning Framework for Real-Time Traffic Density Detection.
Int. J. Pattern Recognit. Artif. Intell., 2009

Traffic Density Estimation with On-line SVM Classifier.
Proceedings of the Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance, 2009

2008
Using stochastic gradient-descent scheme in appearance model based face tracking.
Proceedings of the International Workshop on Multimedia Signal Processing, 2008

On Semantic Object Detection with Salient Feature.
Proceedings of the Advances in Visual Computing, 4th International Symposium, 2008

An improved mean-shift tracker with kernel prediction and scale optimisation targeting for low-frame-rate video tracking.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

On Traffic Density Estimation with a Boosted SVM Classifier.
Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2008


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