Weipeng Huang

Orcid: 0000-0003-4620-6912

According to our database1, Weipeng Huang authored at least 37 papers between 2012 and 2026.

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

2026
Bayesian wasserstein repulsive gaussian mixture models.
Stat. Comput., August, 2026

2025
A Real-Time Posture Detection Algorithm Based on Deep Learning.
Int. J. Comput. Intell. Appl., September, 2025

Correcting Noisy Multilabel Predictions: Modeling Label Noise through Latent Space Shifts.
CoRR, February, 2025

Enhancing Text-Based Hierarchical Multilabel Classification for Mobile Applications via Contrastive Learning.
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

2024
Explaining and Auditing with "Even-If": Uses for Semi-factual Explanations in AI/ML.
Proceedings of the Intelligent Decision Technologies, 2024

2023
SDC: Spatial Depth Completion for Outdoor Scenes.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

The Utility of "Even if" Semifactual Explanation to Optimise Positive Outcomes.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Design and Development of Posture Detection System Based on YOLO - OpenPose.
Proceedings of the 19th International Conference on Natural Computation, 2023

2021
Posterior Regularisation on Bayesian Hierarchical Mixture Clustering.
CoRR, 2021

Quick detection of product quality based on clustering hypersphere model.
Comput. Electr. Eng., 2021

Learning to Predict the Departure Dynamics of Wikidata Editors.
Proceedings of the Semantic Web - ISWC 2021 - 20th International Semantic Web Conference, 2021

Inferring Hierarchical Mixture Structures: A Bayesian Nonparametric Approach.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

t-k-means: A ROBUST AND STABLE k-means VARIANT.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
Data-Driven Spatio-Temporal Analysis via Multi-Modal Zeitgebers and Cognitive Load in VR.
Proceedings of the IEEE Conference on Virtual Reality and 3D User Interfaces, 2020

An Algorithmic Framework for Decentralised Matrix Factorisation.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Towards Fast and Accurate Neural Chinese Word Segmentation with Multi-Criteria Learning.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Scalable Inference on the Soft Affiliation Graph Model for Overlapping Community Detection.
Proceedings of The 12th Asian Conference on Machine Learning, 2020

Partially Observable Markov Decision Process Modelling for Assessing Hierarchies.
Proceedings of The 12th Asian Conference on Machine Learning, 2020

2019
Evaluating Hierarchies through A Partially Observable Markov Decision Processes Methodology.
CoRR, 2019

t-k-means: A k-means Variant with Robustness and Stability.
CoRR, 2019

Bayesian Hierarchical Mixture Clustering using Multilevel Hierarchical Dirichlet Processes.
CoRR, 2019

Toward Fast and Accurate Neural Chinese Word Segmentation with Multi-Criteria Learning.
CoRR, 2019

A Soft Affiliation Graph Model for Scalable Overlapping Community Detection.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

BERT-Based Multi-head Selection for Joint Entity-Relation Extraction.
Proceedings of the Natural Language Processing and Chinese Computing, 2019

Variational Semi-Supervised Aspect-Term Sentiment Analysis via Transformer.
Proceedings of the 23rd Conference on Computational Natural Language Learning, 2019

2018
Markov-network based latent link analysis for community detection in social behavioral interactions.
Appl. Intell., 2018

Instance Enhancing Loss: Deep Identity-Sensitive Feature Embedding for Person Search.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

An End-To-End Siamese Convolutional Neural Network for Loop Closure Detection in Visual Slam System.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

A Discriminatively Learned Feature Embedding Based on Multi-Loss Fusion For Person Search.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017
Body structure based triplet Convolutional Neural Network for person re-identification.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Evaluation of Hierarchical Clustering via Markov Decision Processes for Efficient Navigation and Search.
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2017

2016
Selecting Seeds for Competitive Influence Spread Maximization in Social Networks.
Proceedings of the Social Computing, 2016

An Improved State Filter Algorithm for SIR Epidemic Forecasting.
Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016

2015
Maximizing the Spread of Competitive Influence in a Social Network Oriented to Viral Marketing.
Proceedings of the Web-Age Information Management - 16th International Conference, 2015

2013
A Node Deployment Algorithm Based on Van Der Waals Force in Wireless Sensor Networks.
Int. J. Distributed Sens. Networks, 2013

2012
A Van der Waals Force-Like Node Deployment Algorithm for Wireless Sensor Network.
Proceedings of the 8th International Conference on Mobile Ad-hoc and Sensor Networks, 2012

A Novel Virtual Force Approach for Node Deployment in Wireless Sensor Network.
Proceedings of the IEEE 8th International Conference on Distributed Computing in Sensor Systems, 2012


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