Wenjia Wang

Orcid: 0009-0006-0135-0397

According to our database1, Wenjia Wang authored at least 160 papers between 1998 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Quantitative and qualitative similarity measure for data clustering analysis.
Clust. Comput., December, 2024

Mesh-Clustered Gaussian Process Emulator for Partial Differential Equation Boundary Value Problems.
Technometrics, July, 2024

PipeCIM: A High-Throughput Computing-In-Memory Microprocessor With Nested Pipeline and RISC-V Extended Instructions.
IEEE Trans. Circuits Syst. I Regul. Pap., July, 2024

Heterogeneous Machine Learning Ensembles for Predicting Train Delays.
IEEE Trans. Intell. Transp. Syst., June, 2024

RDCIM: RISC-V Supported Full-Digital Computing-in-Memory Processor With High Energy Efficiency and Low Area Overhead.
IEEE Trans. Circuits Syst. I Regul. Pap., April, 2024

Stacking Designs: Designing Multifidelity Computer Experiments with Target Predictive Accuracy.
SIAM/ASA J. Uncertain. Quantification, March, 2024

Differentiable and Scalable Generative Adversarial Models for Data Imputation.
IEEE Trans. Knowl. Data Eng., February, 2024

Cryptanalysis and Improvement of a Blockchain-Based Certificateless Signature for IIoT Devices.
IEEE Trans. Ind. Informatics, February, 2024

PractiCPP: a deep learning approach tailored for extremely imbalanced datasets in cell-penetrating peptide prediction.
Bioinform., February, 2024

Accurate and Ultra-Efficient <i>p</i> -Value Calculation for Higher Criticism Tests.
J. Comput. Graph. Stat., 2024

Lingdan: enhancing encoding of traditional Chinese medicine knowledge for clinical reasoning tasks with large language models.
J. Am. Medical Informatics Assoc., 2024

Q-Distribution guided Q-learning for offline reinforcement learning: Uncertainty penalized Q-value via consistency model.
CoRR, 2024

Automated Road Extraction from Satellite Imagery Integrating Dense Depthwise Dilated Separable Spatial Pyramid Pooling with DeepLabV3+.
CoRR, 2024

TSI-Bench: Benchmarking Time Series Imputation.
CoRR, 2024

Diffusion Actor-Critic: Formulating Constrained Policy Iteration as Diffusion Noise Regression for Offline Reinforcement Learning.
CoRR, 2024

Applying Transparent Shaping for Zero Trust Architecture Implementation in AWS: A Case Study.
CoRR, 2024

Knowledge Distillation with Multi-granularity Mixture of Priors for Image Super-Resolution.
CoRR, 2024

Enhanced Bayesian Personalized Ranking for Robust Hard Negative Sampling in Recommender Systems.
CoRR, 2024

3D Human Reconstruction in the Wild with Synthetic Data Using Generative Models.
CoRR, 2024

Deep Learning for Multivariate Time Series Imputation: A Survey.
CoRR, 2024

MuSHRoom: Multi-Sensor Hybrid Room Dataset for Joint 3D Reconstruction and Novel View Synthesis.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Deciphering the Projection Head: Representation Evaluation Self-supervised Learning.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

The Surprising Effectiveness of Skip-Tuning in Diffusion Sampling.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Referee Can Play: An Alternative Approach to Conditional Generation via Model Inversion.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Visibility-Aware Human Mesh Recovery via Balancing Dense Correspondence and Probability Model.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Elucidating the design space of classifier-guided diffusion generation.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Differentiable and Scalable Generative Adversarial Models for Data Imputation (Extended Abstract).
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

EMDM: Efficient Motion Diffusion Model for Fast and High-Quality Motion Generation.
Proceedings of the Computer Vision - ECCV 2024, 2024

AiOS: All-in-One-Stage Expressive Human Pose and Shape Estimation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

A Survey of Major Cybersecurity Compliance Frameworks.
Proceedings of the 10th IEEE Conference on Big Data Security on Cloud, 2024

2023
PVO-based reversible data hiding using bit plane segmentation and pixel expansion.
J. Inf. Secur. Appl., December, 2023

Identifying mitophagy-related genes as prognostic biomarkers and therapeutic targets of gastric carcinoma by integrated analysis of single-cell and bulk-RNA sequencing data.
Comput. Biol. Medicine, September, 2023

Development and pilot testing of the Baby-Feed web application for healthcare professionals and parents to improve infant diets.
Int. J. Medical Informatics, June, 2023

Multiple Imputation Ensembles for Time Series (MIE-TS).
ACM Trans. Knowl. Discov. Data, April, 2023

Tactical-Level Explanation is Not Enough: Effect of Explaining AV's Lane-Changing Decisions on Drivers' Decision-Making, Trust, and Emotional Experience.
Int. J. Hum. Comput. Interact., April, 2023

Tabu-Based Adaptive Large Neighborhood Search for Multi-Depot Petrol Station Replenishment With Open Inter-Depot Routes.
IEEE Trans. Intell. Transp. Syst., January, 2023

EMDM: Efficient Motion Diffusion Model for Fast, High-Quality Motion Generation.
CoRR, 2023

Regret Optimality of GP-UCB.
CoRR, 2023

Data Upcycling Knowledge Distillation for Image Super-Resolution.
CoRR, 2023

Learning Dense UV Completion for Human Mesh Recovery.
CoRR, 2023

Random Smoothing Regularization in Kernel Gradient Descent Learning.
CoRR, 2023

Zolly: Zoom Focal Length Correctly for Perspective-Distorted Human Mesh Reconstruction.
CoRR, 2023

APAC: Authorized Probability-controlled Actor-Critic For Offline Reinforcement Learning.
CoRR, 2023

KTPose: Keypoint-Based Tokens in Vision Transformer for Human Pose Estimation.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Constrained Policy Optimization with Explicit Behavior Density For Offline Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Deep Insights into Noisy Pseudo Labeling on Graph Data.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Complexity Matters: Rethinking the Latent Space for Generative Modeling.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Your Contrastive Learning Is Secretly Doing Stochastic Neighbor Embedding.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

CounterCLR: Counterfactual Contrastive Learning with Non-random Missing Data in Recommendation.
Proceedings of the IEEE International Conference on Data Mining, 2023

Zolly: Zoom Focal Length Correctly for Perspective-Distorted Human Mesh Reconstruction.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

A robust video steganography algorithm for H.264/AVC based on secret sharing.
Proceedings of the 2023 4th International Conference on Computing, 2023

2022
Decision level ensemble method for classifying multi-media data.
Wirel. Networks, 2022

Gaussian Processes with Input Location Error and Applications to the Composite Parts Assembly Process.
SIAM/ASA J. Uncertain. Quantification, 2022

Gaussian process regression: Optimality, robustness, and relationship with kernel ridge regression.
J. Mach. Learn. Res., 2022

Security analysis and improvement of a privacy-preserving authentication scheme in VANET.
Int. J. Inf. Sec., 2022

An automated approach to extracting positive and negative clinical research results.
CoRR, 2022

Soft BPR Loss for Dynamic Hard Negative Sampling in Recommender Systems.
CoRR, 2022

WegFormer: Transformers for Weakly Supervised Semantic Segmentation.
CoRR, 2022

Heterogeneous Interactive Attention Network for Human Parsing.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

Understanding Square Loss in Training Overparametrized Neural Network Classifiers.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Curse of Feature Selection: a Comparison Experiment of DDoS Detection Using Classification Techniques.
Proceedings of the IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2022

Intertwining History and Places: The Design of TongSEE Location-Based Augmented Reality Application for History Learning.
Proceedings of the Virtual, Augmented and Mixed Reality: Applications in Education, Aviation and Industry, 2022

Participatory Design Fictions with Mixed Reality: A User Study Framework for Future Smart Cockpit.
Proceedings of the HCI International 2022 - Late Breaking Papers: HCI for Today's Community and Economy, 2022

HuMMan: Multi-modal 4D Human Dataset for Versatile Sensing and Modeling.
Proceedings of the Computer Vision - ECCV 2022, 2022

Model-free Adaptive Parking Control for Four-Wheel Vehicle.
Proceedings of the 13th Asian Control Conference, 2022

Uncertainty Quantification for Bayesian Optimization.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021
Eigenvector-based sparse canonical correlation analysis: Fast computation for estimation of multiple canonical vectors.
J. Multivar. Anal., 2021

User Experience & Usability of Driving: A Bibliometric Analysis of 2000-2019.
Int. J. Hum. Comput. Interact., 2021

Trans2Seg: Transparent Object Segmentation with Transformer.
CoRR, 2021

Segmenting Transparent Objects in the Wild with Transformer.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Machine Learning-based Pipeline for Enterprise Cross-department Conflict Data Management.
Proceedings of the ICCBD 2021: 4th International Conference on Computing and Big Data, Wuhan, China, November 27, 2021

Regularization Matters: A Nonparametric Perspective on Overparametrized Neural Network.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020
Multiple Imputation Ensembles (MIE) for Dealing with Missing Data.
SN Comput. Sci., 2020

Kriging Prediction with Isotropic Matern Correlations: Robustness and Experimental Designs.
J. Mach. Learn. Res., 2020

Neural Network Gaussian Process Considering Input Uncertainty for Composite Structures Assembly.
CoRR, 2020

Developing Ensemble Methods for Detecting Anomalies in Water Level Data.
Proceedings of the Artificial Intelligence XXXVII, 2020

Smoke Injection Height of Wildfire Event Based on Multi-Source Remote Sensing Data in Yunnan Province, China.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Weighted Ensemble Methods for Predicting Train Delays.
Proceedings of the Computational Science and Its Applications - ICCSA 2020, 2020

Segmenting Transparent Objects in the Wild.
Proceedings of the Computer Vision - ECCV 2020, 2020

Scene Text Image Super-Resolution in the Wild.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
Controlling Sources of Inaccuracy in Stochastic Kriging.
Technometrics, 2019

Correction to: A novel adaptive clustering ensemble method.
Int. J. Mach. Learn. Cybern., 2019

Clustering ensemble method.
Int. J. Mach. Learn. Cybern., 2019

Hybrid expert ensembles for identifying unreliable data in citizen science.
Eng. Appl. Artif. Intell., 2019

TextSR: Content-Aware Text Super-Resolution Guided by Recognition.
CoRR, 2019

Hopf bifurcation analysis of maglev vehicle-guideway interaction vibration system and stability control based on fuzzy adaptive theory.
Comput. Ind., 2019

Hybrid Feature Selection Method for Improving File Fragment Classification.
Proceedings of the Artificial Intelligence XXXVI, 2019

PGU-net+: Progressive Growing of U-net+ for Automated Cervical Nuclei Segmentation.
Proceedings of the Multiscale Multimodal Medical Imaging - First International Workshop, 2019

Automated Segmentation Of Pulmonary Lobes Using Coordination-Guided Deep Neural Networks.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Bayesian Anytime m-top Exploration.
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

Large-Scale Datasets for Going Deeper in Image Understanding.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

Efficient and Accurate Arbitrary-Shaped Text Detection With Pixel Aggregation Network.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Thompson Sampling for m-top Exploration.
Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), 2019

Scene Text Detection Via Cascade FPN and Channel Enhancement.
Proceedings of the Fifth IEEE International Conference on Multimedia Big Data, 2019

2018
A Framework for Controlling Sources of Inaccuracy in Gaussian Process Emulation of Deterministic Computer Experiments.
SIAM/ASA J. Uncertain. Quantification, 2018

Generalised Decision Level Ensemble Method for Classifying Multi-media Data.
Proceedings of the Artificial Intelligence XXXV, 2018

Dealing with Missing Data and Uncertainty in the Context of Data Mining.
Proceedings of the Hybrid Artificial Intelligent Systems - 13th International Conference, 2018

2017
Determining appropriate approaches for using data in feature selection.
Int. J. Mach. Learn. Cybern., 2017

AI Challenger : A Large-scale Dataset for Going Deeper in Image Understanding.
CoRR, 2017

Feature Level Ensemble Method for Classifying Multi-media Data.
Proceedings of the Artificial Intelligence XXXIV, 2017

2016
Heterogeneous Ensemble for Imaginary Scene Classification.
Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2016) - Volume 1: KDIR, Porto - Portugal, November 9, 2016

2015
Retinal vessel segmentation using multi-scale textons derived from keypoints.
Comput. Medical Imaging Graph., 2015

An Algorithm for Identifying the Learning Patterns in Big Data.
Proceedings of the 2015 IEEE TrustCom/BigDataSE/ISPA, 2015

Applying Clustering Analysis to Heterogeneous Data Using Similarity Matrix Fusion (SMF).
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2015

A new consensus function based on dual-similarity measurements for clustering ensemble.
Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015

Dynamical evolution of an internet social network: A case study on an event of protecting plane trees in Nanjing, China.
Proceedings of the 2015 International Conference on Behavioral, 2015

2014
A hybrid heuristic approach for attribute-oriented mining.
Decis. Support Syst., 2014

A Graph based Methodology for Web Structure Mining - with a Case Study on the Webs of UK Universities.
Proceedings of the 4th International Conference on Web Intelligence, 2014

Reliability and Effectiveness of Cross-Validation in Feature Selection.
Proceedings of the Research and Development in Intelligent Systems XXXI, 2014

Retinal Vessel Segmentation using Gabor Filter and Textons.
Proceedings of the Medical Image Understanding and Analysis, 2014

Object-Neighbourhood Clustering Ensemble Method.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2014, 2014

Heuristic Ensemble of Filters for Reliable Feature Selection.
Proceedings of the ICPRAM 2014, 2014

Comparative performance of texton based vascular tree segmentation in retinal images.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Modelling the role of spontaneous and collision induced catastrophe in the self organisation of cortical microtubules.
Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine, 2014

2013
Estimating the predominant number of clusters in a dataset.
Intell. Data Anal., 2013

Complex ground plane detection based on V-disparity map in off-road environment.
Proceedings of the 2013 IEEE Intelligent Vehicles Symposium (IV), 2013

Maximum torque control of hybrid excitation synchronous machine drives based on field current self-optimizing method.
Proceedings of the IECON 2013, 2013

How data partitioning strategies and subset size influence the performance of an ensemble?
Proceedings of the 2013 IEEE International Conference on Big Data (IEEE BigData 2013), 2013

2012
What influences the accuracy of decision tree ensembles?
J. Intell. Inf. Syst., 2012

Novel Consensus Approaches to the Reliable Ranking of Features for Seabed Imagery Classification.
Int. J. Neural Syst., 2012

Non-linear Dimensionality Reduction for Privacy-Preserving Data Classification.
Proceedings of the 2012 International Conference on Privacy, 2012

A Hybrid Method for Estimating the Predominant Number of Clusters in a Data Set.
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

A Compact Difference Scheme for Time Fractional Diffusion Equation with Neumann Boundary Conditions.
Proceedings of the AsiaSim 2012, 2012

A Trust Model Composed of Multi-trust Path in Online Auction.
Proceedings of the 12th IEEE International Conference on Computer and Information Technology, 2012

2011
A Comprehensive Trust Model with Multi-participant Viewpoints in Online Auctions.
Proceedings of the 2nd International Symposium on Intelligence Information Processing and Trusted Computing, 2011

A Texture Analysis Approach to Identifying Sabellaria Spinulosa Colonies in Sidescan Sonar Imagery.
Proceedings of the 2011 Irish Machine Vision and Image Processing Conference, 2011

Adaptive K-Means for Clustering Air Mass Trajectories.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2011, 2011

Novel Data Mining Approaches for Detecting Quantitative Trait Loci of Bone Mineral Density in Genome-Wide Linkage Analysis.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2011, 2011

A Novel Ensemble of Distance Measures for Feature Evaluation: Application to Sonar Imagery.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2011, 2011

A new approach to the automated mapping of pockmarks in multi-beam bathymetry.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011

2010
Research on driver experience based route planning method.
Proceedings of the IEEE Intelligent Vehicles Symposium (IV), 2010

Enhancement of real-time traffic data in navigation clients.
Proceedings of the 13th International IEEE Conference on Intelligent Transportation Systems, 2010

Heterogeneous Bayesian ensembles for classifying spam emails.
Proceedings of the International Joint Conference on Neural Networks, 2010

Factors affecting boosting ensemble performance on DNA microarray data.
Proceedings of the International Joint Conference on Neural Networks, 2010

A clustering ensemble method for clustering mixed data.
Proceedings of the International Joint Conference on Neural Networks, 2010

2009
Analysis of congestion points based on probe car data.
Proceedings of the 12th International IEEE Conference on Intelligent Transportation Systems, 2009

A Hybrid Method of Multidimensional Scaling and Clustering for Determining Genetic Influence on Phenotypes.
Proceedings of the Advanced Data Mining and Applications, 5th International Conference, 2009

2008
Analysis and Optimization of Statistical Data in Beijing for Traffic Information Services.
Proceedings of the 11th International IEEE Conference on Intelligent Transportation Systems, 2008

Novel position-coded methods for mining web access patterns.
Proceedings of the IEEE International Conference on Intelligence and Security Informatics, 2008

Some fundamental issues in ensemble methods.
Proceedings of the International Joint Conference on Neural Networks, 2008

Boosting for feature selection for microarray data analysis.
Proceedings of the International Joint Conference on Neural Networks, 2008

Relationship between depth of decision trees and boosting performance.
Proceedings of the International Joint Conference on Neural Networks, 2008

2007
On diversity and accuracy of homogeneous and heterogeneous ensembles.
Int. J. Hybrid Intell. Syst., 2007

Travel Time Enabled Bus Route Navigation System Experiment in Beijing.
Proceedings of the IEEE Intelligent Transportation Systems Conference, 2007

Enhancing Boosting by Feature Non-Replacement for Microarray Data Analysis.
Proceedings of the International Joint Conference on Neural Networks, 2007

2006
Feature salience definition and estimation and its use in feature subset selection.
Intell. Data Anal., 2006

Investigations on the Characteristics of Random Decision Tree Ensembles.
Proceedings of the International Joint Conference on Neural Networks, 2006

Investigation on Diversity in Homogeneous and Heterogeneous Ensembles.
Proceedings of the International Joint Conference on Neural Networks, 2006

2005
The Definition and Estimation of Feature Salience in Databases.
Proceedings of the IASTED International Conference on Databases and Applications, 2005

Improving Classification for Microarray Data Sets by Constructing Synthetic Data.
Proceedings of the Computational Intelligence and Security, International Conference, 2005

A Fast Wrapper Method for Feature Subset Selection.
Proceedings of the IASTED International Conference on Artificial Intelligence and Applications, 2005

2004
A New Artificial Immune System Algorithm for Clustering.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2004

Implicit Fitness Sharing Speciation and Emergent Diversity in Tree Classifier Ensembles.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2004

2002
Quantifying Relevance of Input Features.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2002

2001
A Comparative Study of Feature-Salience Ranking Techniques.
Neural Comput., 2001

Efficient and Effective Feature Selection in the Presence of Feature Interaction and Noise.
Proceedings of the Advances in Pattern Recognition, 2001

2000
Assessing the Impact of Input Features in a Feedforward Neural Network.
Neural Comput. Appl., 2000

Diversity between Neural Networks and Decision Trees for Building Multiple Classifier Systems.
Proceedings of the Multiple Classifier Systems, First International Workshop, 2000

Identification of Feature-Salience.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

1998
Multi-Version Systems of Neural Networks for Predicting the Risk of Osteoporosis.
Proceedings of the Eleventh International Florida Artificial Intelligence Research Society Conference, 1998


  Loading...