Limeng Cui

Orcid: 0000-0002-5222-3690

According to our database1, Limeng Cui authored at least 46 papers between 2014 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
Exploring Query Understanding for Amazon Product Search.
CoRR, 2024

Exploring the Deceptive Power of LLM-Generated Fake News: A Study of Real-World Detection Challenges.
CoRR, 2024

Hierarchical Query Classification in E-commerce Search.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Session-Aware Product filter Ranking in E- Commerce Search.
Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024

2023
Street surface condition of wealthy and poor neighborhoods: the case of Los Angeles.
AI Soc., June, 2023

Med-MMHL: A Multi-Modal Dataset for Detecting Human- and LLM-Generated Misinformation in the Medical Domain.
CoRR, 2023

A Unified Framework of Graph Information Bottleneck for Robustness and Membership Privacy.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Exploiting Intent Evolution in E-commercial Query Recommendation.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022
ALLIE: Active Learning on Large-scale Imbalanced Graphs.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

KETCH: Knowledge Graph Enhanced Thread Recommendation in Healthcare Forums.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

2021
Cross-lingual COVID-19 Fake News Detection.
Proceedings of the 2021 International Conference on Data Mining, 2021

2020
CoAID: COVID-19 Healthcare Misinformation Dataset.
CoRR, 2020

DETERRENT: Knowledge Guided Graph Attention Network for Detecting Healthcare Misinformation.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

CONAN: Complementary Pattern Augmentation for Rare Disease Detection.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Learning from label proportions with pinball loss.
Int. J. Mach. Learn. Cybern., 2019

Multi-view collective tensor decomposition for cross-modal hashing.
Int. J. Multim. Inf. Retr., 2019

Warning Signs in Communicating the Machine Learning Detection Results of Misinformation with Individuals.
CoRR, 2019

dEFEND: Explainable Fake News Detection.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

dEFEND: A System for Explainable Fake News Detection.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

SAME: sentiment-aware multi-modal embedding for detecting fake news.
Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019

2018
Fake News Detection with Deep Diffusive Network Model.
CoRR, 2018

EgoCoder: Intelligent Program Synthesis with Hierarchical Sequential Neural Network Model.
CoRR, 2018

GEN Model: An Alternative Approach to Deep Neural Network Models.
CoRR, 2018

Reconciled Polynomial Machine: A Unified Representation of Shallow and Deep Learning Models.
CoRR, 2018

Deep Loopy Neural Network Model for Graph Structured Data Representation Learning.
CoRR, 2018

On Deep Ensemble Learning from a Function Approximation Perspective.
CoRR, 2018

GADAM: Genetic-Evolutionary ADAM for Deep Neural Network Optimization.
CoRR, 2018

SEGEN: Sample-Ensemble Genetic Evolutional Network Model.
CoRR, 2018

Multi-view Collective Tensor Decomposition for Cross-modal Hashing.
Proceedings of the 2018 ACM on International Conference on Multimedia Retrieval, 2018

Multi-View Fusion Through Cross-Modal Retrieval.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

2017
A novel clustering-based image segmentation via density peaks algorithm with mid-level feature.
Neural Comput. Appl., 2017

Learning with label proportions based on nonparallel support vector machines.
Knowl. Based Syst., 2017

LATTE: Application Oriented Network Embedding.
CoRR, 2017

BL-MNE: Emerging Heterogeneous Social Network Embedding Through Broad Learning with Aligned Autoencoder.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

BL-ECD: Broad Learning based Enterprise Community Detection via Hierarchical Structure Fusion.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Inverse extreme learning machine for learning with label proportions.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

Real Time Social Attitude Expression Prediction.
Proceedings of the 2017 IEEE International Congress on Big Data, 2017

2016
Automatic Road Crack Detection Using Random Structured Forests.
IEEE Trans. Intell. Transp. Syst., 2016

Laplacian SVM for Learning from Label Proportions.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

2015
Personalized Financial News Recommendation Algorithm Based on Ontology.
Proceedings of the Third International Conference on Information Technology and Quantitative Management, 2015

Image Segmentation via Improving Clustering Algorithms with Density and Distance.
Proceedings of the Third International Conference on Information Technology and Quantitative Management, 2015

Supervised Object Boundary Detection Based on Structured Forests.
Proceedings of the Data Science - Second International Conference, 2015

Pavement Distress Detection Using Random Decision Forests.
Proceedings of the Data Science - Second International Conference, 2015

Pedestrian Detection Using Privileged Information.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

2014
A Method based on One-class SVM for News Recommendation.
Proceedings of the Second International Conference on Information Technology and Quantitative Management, 2014

A Hierarchy Method Based on LDA and SVM for News Classification.
Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014


  Loading...