Zhi Wei

Orcid: 0000-0001-6059-4267

Affiliations:
  • New Jersey Institute of Technology, Department of Computer Science, Newark, NJ, USA
  • University of Pennsylvania, School of Medicine, Department of Biostatistics and Epidemiology, Philadelphia, PA, USA (PhD 2008)


According to our database1, Zhi Wei authored at least 69 papers between 2003 and 2024.

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Bibliography

2024
Theta-mechanism based cluster search algorithm for global constrained optimization.
Appl. Soft Comput., December, 2024

Discrete latent embeddings illuminate cellular diversity in single-cell epigenomics.
Nat. Comput. Sci., May, 2024

Conformal Ranked Retrieval.
CoRR, 2024

Tjong: A transformer-based Mahjong AI via hierarchical decision-making and fan backward.
CAAI Trans. Intell. Technol., 2024

MultiSC: a deep learning pipeline for analyzing multiomics single-cell data.
Briefings Bioinform., 2024

2023
MGEL: Multigrained Representation Analysis and Ensemble Learning for Text Moderation.
IEEE Trans. Neural Networks Learn. Syst., October, 2023

Hidden Markov random field models for cell-type assignment of spatially resolved transcriptomics.
Bioinform., October, 2023

Conformal Risk Control for Ordinal Classification.
Proceedings of the Uncertainty in Artificial Intelligence, 2023

The Network of Mutual Funds: A Dynamic Heterogeneous Graph Neural Network for Estimating Mutual Funds Performance.
Proceedings of the 4th ACM International Conference on AI in Finance, 2023

2022
Fa-Mb-ResNet for Grounding Fault Identification and Line Selection in the Distribution Networks.
IEEE Internet Things J., 2022

Fine-grained precise-bone age assessment by integrating prior knowledge and recursive feature pyramid network.
EURASIP J. Image Video Process., 2022

Cox-ResNet: A Survival Analysis Model Based on Residual Neural Networks for Gene Expression Data.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2022

2021
ST-Trader: A Spatial-Temporal Deep Neural Network for Modeling Stock Market Movement.
IEEE CAA J. Autom. Sinica, 2021

Performance of model-based multifactor dimensionality reduction methods for epistasis detection by controlling population structure.
BioData Min., 2021

DeepCNV: a deep learning approach for authenticating copy number variations.
Briefings Bioinform., 2021

An Omnibus Test for Differential Distribution Analysis of Continuous Microbiome Data.
IEEE Access, 2021

2020
Elucidation of DNA methylation on N6-adenine with deep learning.
Nat. Mach. Intell., 2020

Dynamic surface control for a class of nonlinearly parameterized systems with input time delay using neural network.
J. Frankl. Inst., 2020

Fully Automated Bone Age Assessment on Large-Scale Hand X-Ray Dataset.
Int. J. Biomed. Imaging, 2020

An Enriched Time-Series Forecasting Framework for Long-Short Portfolio Strategy.
IEEE Access, 2020

Identification of Electrical Equipment Based on Faster LSTM-CNN Network.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2020

User Profiling and Behavior Evaluation Based on Improved Logistics Algorithm.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2020

AirNet: A Calibration Model for Low-Cost Air Monitoring Sensors Using Dual Sequence Encoder Networks.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

DeepVar: An End-to-End Deep Learning Approach for Genomic Variant Recognition in Biomedical Literature.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Online Change-Point Detection in Sparse Time Series With Application to Online Advertising.
IEEE Trans. Syst. Man Cybern. Syst., 2019

A Deep Learning Approach to Competing Risks Representation in Peer-to-Peer Lending.
IEEE Trans. Neural Networks Learn. Syst., 2019

A Feature Sampling Strategy for Analysis of High Dimensional Genomic Data.
IEEE ACM Trans. Comput. Biol. Bioinform., 2019

Clustering single-cell RNA-seq data with a model-based deep learning approach.
Nat. Mach. Intell., 2019

Modeling and elucidation of housing price.
Data Min. Knowl. Discov., 2019

Risk-Based Multi-Objective Optimization of Distributed Generation Based on GPSO-BFA Algorithm.
IEEE Access, 2019

A Middle Game Search Algorithm Applicable to Low-Cost Personal Computer for Go.
IEEE Access, 2019

A Reinforcement Learning Model Based on Temporal Difference Algorithm.
IEEE Access, 2019

Improved Online Sequential Extreme Learning Machine: A New Intelligent Evaluation Method for AZ-Style Algorithms.
IEEE Access, 2019

Success Prediction on Crowdfunding with Multimodal Deep Learning.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

User Response Driven Content Understanding with Causal Inference.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

2018
A Distance-Based Weighted Undersampling Scheme for Support Vector Machines and its Application to Imbalanced Classification.
IEEE Trans. Neural Networks Learn. Syst., 2018

A transfer learning approach via procrustes analysis and mean shift for cancer drug sensitivity prediction.
J. Bioinform. Comput. Biol., 2018

Boosting support vector machines for cancer discrimination tasks.
Comput. Biol. Medicine, 2018

A distance-based approach for testing the mediation effect of the human microbiome.
Bioinform., 2018

An omnibus test for differential distribution analysis of microbiome sequencing data.
Bioinform., 2018

Dual M-Convex Variable Subsets Family and Extremum Analysis for the OPF Problem.
IEEE Access, 2018

DeepPolyA: A Convolutional Neural Network Approach for Polyadenylation Site Prediction.
IEEE Access, 2018

Modeling Item-specific Effects for Video Click.
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Network Inference from Contrastive Groups Using Discriminative Structural Regularization.
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Deep learning for sequence pattern recognition.
Proceedings of the 15th IEEE International Conference on Networking, Sensing and Control, 2018

A Blended Deep Learning Approach for Predicting User Intended Actions.
Proceedings of the IEEE International Conference on Data Mining, 2018

2017
A link prediction approach to cancer drug sensitivity prediction.
BMC Syst. Biol., 2017

Transfer Learning Approaches to Improve Drug Sensitivity Prediction in Multiple Myeloma Patients.
IEEE Access, 2017

REMOLD: An Efficient Model-Based Clustering Algorithm for Large Datasets with Spark.
Proceedings of the 23rd IEEE International Conference on Parallel and Distributed Systems, 2017

Time-Aware Latent Hierarchical Model for Predicting House Prices.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

2016
A Noise-Filtering Approach for Cancer Drug Sensitivity Prediction.
CoRR, 2016

An empirical Bayes change-point model for identifying 3′ and 5′ alternative splicing by next-generation RNA sequencing.
Bioinform., 2016

A greedy-based oversampling approach to improve the prediction of mortality in MERS patients.
Proceedings of the Annual IEEE Systems Conference, 2016

Annealed Sparsity via Adaptive and Dynamic Shrinking.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Reliable Gender Prediction Based on Users' Video Viewing Behavior.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Modeling Real Estate for School District Identification.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Learning approaches to improve prediction of drug sensitivity in breast cancer patients.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

A novel under-sampling algorithm based on Iterative-Partitioning Filters for imbalanced classification.
Proceedings of the IEEE International Conference on Automation Science and Engineering, 2016

2015
Twitter sentiment classification for measuring public health concerns.
Soc. Netw. Anal. Min., 2015

Scalable quality assurance for large SNOMED CT hierarchies using subject-based subtaxonomies.
J. Am. Medical Informatics Assoc., 2015

IPRed: Instance Reduction Algorithm Based on the Percentile of the Partitions.
Proceedings of the 26th Modern AI and Cognitive Science Conference 2015, 2015

Collaborated Online Change-Point Detection in Sparse Time Series for Online Advertising.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

2014
A change-point model for identifying 3′UTR switching by next-generation RNA sequencing.
Bioinform., 2014

Top-k Parametrized Boost.
Proceedings of the Mining Intelligence and Knowledge Exploration, 2014

2009
Multiple testing in genome-wide association studies via hidden Markov models.
Bioinform., 2009

2008
A spatially varying two-sample recombinant coalescent, with applications to HIV escape response.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

2007
A Markov random field model for network-based analysis of genomic data.
Bioinform., 2007

2006
GAME: detecting <i>cis</i>-regulatory elements using a genetic algorithm.
Bioinform., 2006

2003
Exploiting the Marginal Profits of Constraints with Evolutionary Multi-Objective Optimization Techniques.
Proceedings of the International Conference on Artificial Intelligence, 2003


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