Jilian Zhang

Orcid: 0000-0001-7117-3951

According to our database1, Jilian Zhang authored at least 51 papers between 2005 and 2023.

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

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2023
Dynamic Moore-Penrose Inversion With Unknown Derivatives: Gradient Neural Network Approach.
IEEE Trans. Neural Networks Learn. Syst., December, 2023

FePN: A robust feature purification network to defend against adversarial examples.
Comput. Secur., November, 2023

Improving Bitcoin Transaction Propagation Efficiency through Local Clique Network.
Comput. J., February, 2023

Bad Apples: Understanding the Centralized Security Risks in Decentralized Ecosystems.
Proceedings of the ACM Web Conference 2023, 2023

2022
Attention-Emotion-Enhanced Convolutional LSTM for Sentiment Analysis.
IEEE Trans. Neural Networks Learn. Syst., 2022

Multimodality Alzheimer's Disease Analysis in Deep Riemannian Manifold.
Inf. Process. Manag., 2022

High-Performance UAV Crowdsensing: A Deep Reinforcement Learning Approach.
IEEE Internet Things J., 2022

2021
DeepChain: Auditable and Privacy-Preserving Deep Learning with Blockchain-Based Incentive.
IEEE Trans. Dependable Secur. Comput., 2021

Non-negative Matrix Factorization: A Survey.
Comput. J., 2021

LDSQP: Scalable and Efficient Log Data Storage and Query Processing Scheme for Cloud Data Centers.
Proceedings of the HP3C 2021: 5th International Conference on High Performance Compilation, Computing and Communications, Guangzhou, China, June 18, 2021

2020
Sparse Graph Connectivity for Image Segmentation.
ACM Trans. Knowl. Discov. Data, 2020

Heuristic algorithms for diversity-aware balanced multi-way number partitioning.
Pattern Recognit. Lett., 2020

Unsupervised nonlinear feature selection algorithm via kernel function.
Neural Comput. Appl., 2020

2019
Low-Rank Sparse Subspace for Spectral Clustering.
IEEE Trans. Knowl. Data Eng., 2019

Nonlinear sparse feature selection algorithm via low matrix rank constraint.
Multim. Tools Appl., 2019

Feature selection for text classification: A review.
Multim. Tools Appl., 2019

2018
Editorial: Deep Mining Big Social Data.
World Wide Web, 2018

Harmonious Genetic Clustering.
IEEE Trans. Cybern., 2018

Pattern discovery from multi-source data.
Pattern Recognit. Lett., 2018

2017
Overlapping Community Detection for Multimedia Social Networks.
IEEE Trans. Multim., 2017

Low-rank feature selection for multi-view regression.
Multim. Tools Appl., 2017

Multimodal learning for topic sentiment analysis in microblogging.
Neurocomputing, 2017

Supervised Feature Selection Algorithm Based on Low-Rank and Manifold Learning.
Proceedings of the Advanced Data Mining and Applications - 13th International Conference, 2017

2016
Supervised Feature Selection by Robust Sparse Reduced-Rank Regression.
Proceedings of the Advanced Data Mining and Applications - 12th International Conference, 2016

2015
Maximum Rank Query.
Proc. VLDB Endow., 2015

2014
Direct neighbor search.
Inf. Syst., 2014

Global immutable region computation.
Proceedings of the International Conference on Management of Data, 2014

2013
Enhancing Access Privacy of Range Retrievals over (𝔹<sup>+</sup>)-Trees.
IEEE Trans. Knowl. Data Eng., 2013

Mixed-Norm Regression for Visual Classification.
Proceedings of the Advanced Data Mining and Applications, 9th International Conference, 2013

Mining Item Popularity for Recommender Systems.
Proceedings of the Advanced Data Mining and Applications - 9th International Conference, 2013

2012
Classifying Incomplete Data Using Group Difference Detection with Parimputation Approach.
Int. J. Softw. Informatics, 2012

2011
Heuristic Algorithms for Balanced Multi-Way Number Partitioning.
Proceedings of the IJCAI 2011, 2011

2009
Missing Data Analysis: A Kernel-Based Multi-Imputation Approach.
Trans. Comput. Sci., 2009

Scalable Verification for Outsourced Dynamic Databases.
Proc. VLDB Endow., 2009

A decremental algorithm of frequent itemset maintenance for mining updated databases.
Expert Syst. Appl., 2009

Estimating confidence intervals for structural differences between contrast groups with missing data.
Expert Syst. Appl., 2009

POP algorithm: Kernel-based imputation to treat missing values in knowledge discovery from databases.
Expert Syst. Appl., 2009

Setting discrete bid levels adaptively in repeated auctions.
Proceedings of the 11th International Conference on Electronic Commerce 2009, 2009

2008
Missing Value Imputation Based on Data Clustering.
Trans. Comput. Sci., 2008

Mining follow-up correlation patterns from time-related databases.
Knowl. Inf. Syst., 2008

2007
EDUA: An efficient algorithm for dynamic database mining.
Inf. Sci., 2007

Semi-parametric optimization for missing data imputation.
Appl. Intell., 2007

GBKII: An Imputation Method for Missing Values.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2007

Cost-Time Sensitive Decision Tree with Missing Values.
Proceedings of the Knowledge Science, 2007

Cost-Sensitive Imputing Missing Values with Ordering.
Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

Measuring the Uncertainty of Differences for Contrasting Groups.
Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

2006
Optimized Parameters for Missing Data Imputation.
Proceedings of the PRICAI 2006: Trends in Artificial Intelligence, 2006

Identifying Follow-Correlation Itemset-Pairs.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Difference Detection Between Two Contrast Sets.
Proceedings of the Data Warehousing and Knowledge Discovery, 8th International Conference, 2006

Kernel-Based Multi-Imputation for Missing Data.
Proceedings of the Advances in Intelligent IT, 2006

2005
A Decremental Algorithm for Maintaining Frequent Itemsets in Dynamic Databases.
Proceedings of the Data Warehousing and Knowledge Discovery, 2005


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