Zhengkui Wang

Orcid: 0000-0003-4554-0791

Affiliations:
  • Singapore Institute of Technology, InfoComm Technology Cluster, Singapore
  • National University of Singapore, Singapore (PhD 2013)


According to our database1, Zhengkui Wang authored at least 64 papers between 2008 and 2024.

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

Timeline

Legend:

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Bibliography

2024
Robust Multi-Graph Multi-Label Learning With Dual-Granularity Labeling.
IEEE Trans. Pattern Anal. Mach. Intell., October, 2024

HF-YOLO: Advanced Pedestrian Detection Model with Feature Fusion and Imbalance Resolution.
Neural Process. Lett., April, 2024

On-Device LLMs for SMEs: Challenges and Opportunities.
CoRR, 2024

Nutrition Estimation for Dietary Management: A Transformer Approach with Depth Sensing.
CoRR, 2024

Towards Accelerating Physics Informed Graph Neural Network for Fluid Simulation.
Proceedings of the SIGGRAPH Asia 2024 Posters, SA 2024, TokyoJapan, December 3-6, 2024, 2024

Open-Vocabulary And Multitask Image Segmentation.
Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing, 2024

Vicinal Data Augmentation for Classification Model via Feature Weaken.
Proceedings of the Knowledge Science, Engineering and Management, 2024

Meta-pruning: Learning to Prune on Few-Shot Learning.
Proceedings of the Knowledge Science, Engineering and Management, 2024

Enhancing Multi-Label Text Classification by Incorporating Label Dependency to Handle Imbalanced Data.
Proceedings of the International Joint Conference on Neural Networks, 2024

Towards Robust Multi-Label Learning against Dirty Label Noise.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Efficient Community Search in Edge-Attributed Graphs (Extended Abstract).
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Self-Training GNN-based Community Search in Large Attributed Heterogeneous Information Networks.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Limited-Supervised Multi-Label Learning with Dependency Noise.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Efficient Community Search in Edge-Attributed Graphs.
IEEE Trans. Knowl. Data Eng., October, 2023

GALOPA: Graph Transport Learning with Optimal Plan Alignment.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

User Feedback-Based Counterfactual Data Augmentation for Sequential Recommendation.
Proceedings of the Knowledge Science, Engineering and Management, 2023

Explainable Text Classification via Attentive and Targeted Mixing Data Augmentation.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Skyline Micro-Cluster Query: A Novel and Practical Spatial Query.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

COCLEP: Contrastive Learning-based Semi-Supervised Community Search.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Imbalanced Few-Shot Learning Based on Meta-transfer Learning.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2023, 2023

The Impact of the COVID-19 Pandemic on Retrenchment, Vaccinations, and Global Happiness.
Proceedings of the 15th International Conference on Developments in eSystems Engineering, 2023

BrandTrend: Understanding the Trending Games and Gaming Influencers for Better Gaming Peripheral Promotion.
Proceedings of the 15th International Conference on Developments in eSystems Engineering, 2023

Image Segmentation with Vision-Language Models.
Proceedings of the 2023 7th International Conference on Computer Science and Artificial Intelligence, 2023

Robust Self-Supervised Multi-Instance Learning with Structure Awareness.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Distributed Density Peaks Clustering Revisited.
IEEE Trans. Knowl. Data Eng., 2022

Efficient Supervised Image Clustering Based on Density Division and Graph Neural Networks.
Remote. Sens., 2022

The most active community search in large temporal graphs.
Knowl. Based Syst., 2022

How to better utilize code graphs in semantic code search?
Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

TSC-GCN: A Face Clustering Method Based on GCN.
Proceedings of the Knowledge Science, Engineering and Management, 2022

ViCollAR: A Novel System for 3D Data Visualization using Collaborative Augmented Reality.
Proceedings of the 2022 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct), 2022

Density Division Face Clustering Based on Graph Convolutional Networks.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

EfficientFCOS: An Efficient One-stage Object Detection Model based on FCOS.
Proceedings of the 25th IEEE International Conference on Computer Supported Cooperative Work in Design, 2022

Smart Cybercrime Classification for Digital Forensics with Small Datasets.
Proceedings of the Cyber Security, Cryptology, and Machine Learning, 2022

2021
LionKeeper: Automatically Discovering Timely Cybercrime Dynamics in the Age of COVID-19.
Proceedings of the 2021 IEEE International Conference on Service Operations and Logistics, 2021

Clustering Massive-Categories and Complex Documents via Graph Convolutional Network.
Proceedings of the Knowledge Science, Engineering and Management, 2021

Fine-Grained Image Classification Based on Target Acquisition and Feature Fusion.
Proceedings of the Knowledge Science, Engineering and Management, 2021

Multi-graph Multi-label Learning with Dual-granularity Labeling.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Distributed Density Peaks Clustering Revisited (Extended Abstract).
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

News Insider: Innovating News Understanding to Improve the Quality of Reading Experience.
Proceedings of the 2nd Asia Conference on Computers and Communications, 2021

2020
Automatic Image Captioning Based on ResNet50 and LSTM with Soft Attention.
Wirel. Commun. Mob. Comput., 2020

Towards Coarse and Fine-grained Multi-Graph Multi-Label Learning.
CoRR, 2020

SecureAS: A Vulnerability Assessment System for Deep Neural Network Based on Adversarial Examples.
IEEE Access, 2020

2019
An Automated Staff Roster Planning System (SRPS) For Healthcare Industry.
Proceedings of the 20th IEEE/ACIS International Conference on Software Engineering, 2019

Mixing-RNN: A Recommendation Algorithm Based on Recurrent Neural Network.
Proceedings of the Knowledge Science, Engineering and Management, 2019

An Attention-Based Recommendation Algorithm.
Proceedings of the 2019 IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2019

2018
Graph OLAP.
Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018

2017
VCExplorer: A Interactive Graph Exploration Framework Based on Hub Vertices with Graph Consolidation.
CoRR, 2017

TwiInsight: Discovering Topics and Sentiments from Social Media Datasets.
CoRR, 2017

2016
Towards a Non-2PC Transaction Management in Distributed Database Systems.
Proceedings of the 2016 International Conference on Management of Data, 2016

TRSO: A Tourism Recommender System Based on Ontology.
Proceedings of the Knowledge Science, Engineering and Management, 2016

HaCube: Extending MapReduce for Efficient OLAP Cube Materialization and View Maintenance.
Proceedings of the Database Systems for Advanced Applications, 2016

Towards Neighborhood Window Analytics over Large-Scale Graphs.
Proceedings of the Database Systems for Advanced Applications, 2016

2015
Supporting Window Analytics over Large-scale Dynamic Graphs.
CoRR, 2015

Scalable Distributed Stream Join Processing.
Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015

Transfer Learning in Large-Scale Short Text Analysis.
Proceedings of the Knowledge Science, Engineering and Management, 2015

Transfer learning over big data.
Proceedings of the Tenth International Conference on Digital Information Management, 2015

A flexible and reliable recommendation algorithm in intelligent transportation system.
Proceedings of the Tenth International Conference on Digital Information Management, 2015

2014
Pagrol: Parallel graph olap over large-scale attributed graphs.
Proceedings of the IEEE 30th International Conference on Data Engineering, Chicago, 2014

2013
COSAC: A Framework for Combinatorial Statistical Analysis on Cloud.
IEEE Trans. Knowl. Data Eng., 2013

Scalable Data Cube Analysis over Big Data.
CoRR, 2013

2011
<i>eCEO</i>: an efficient Cloud Epistasis cOmputing model in genome-wide association study.
Bioinform., 2011

LORA: Link Obfuscation by Randomization in Graphs.
Proceedings of the Secure Data Management - 8th VLDB Workshop, SDM 2011, Seattle, WA, USA, 2011

2010
CEO a cloud epistasis computing model in GWAS.
Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine, 2010

2008
The Embedded VSR System Design Based on ARM and Frequency Spectrum Analysis.
Proceedings of the PACIIA 2008, 2008


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