Limeng Cui

According to our database, Limeng Cui authored at least 44 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

Yanshen Sun, Jianfeng He, Limeng Cui, Shuo Lei, Chang-Tien Lu

CoRR, 2024

Hierarchical Query Classification in E-commerce Search.

Bing He, Sreyashi Nag, Limeng Cui, Suhang Wang, Zheng Li, Rahul Goutam, Zhen Li, Haiyang Zhang

CoRR, 2024

2023

Street surface condition of wealthy and poor neighborhoods: the case of Los Angeles.

Pooyan Doozandeh, Limeng Cui, Rui Yu

AI Soc., June, 2023

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

Yanshen Sun, Jianfeng He, Shuo Lei, Limeng Cui, Chang-Tien Lu

CoRR, 2023

A Unified Framework of Graph Information Bottleneck for Robustness and Membership Privacy.

Enyan Dai, Limeng Cui, Zhengyang Wang, Xianfeng Tang, Yinghan Wang, Monica Xiao Cheng, Bing Yin, Suhang Wang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Exploiting Intent Evolution in E-commercial Query Recommendation.

Yu Wang, Zhengyang Wang, Hengrui Zhang, Qingyu Yin, Xianfeng Tang, Yinghan Wang, Danqing Zhang, Limeng Cui, Monica Xiao Cheng, Bing Yin, Suhang Wang, Philip S. Yu

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022

ALLIE: Active Learning on Large-scale Imbalanced Graphs.

Limeng Cui, Xianfeng Tang, Sumeet Katariya, Nikhil Rao, Pallav Agrawal, Karthik Subbian, Dongwon Lee

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.

Limeng Cui, Dongwon Lee

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.

Jiangshu Du, Yingtong Dou, Congying Xia, Limeng Cui, Jing Ma, Philip S. Yu

Proceedings of the 2021 International Conference on Data Mining, 2021

2020

CoAID: COVID-19 Healthcare Misinformation Dataset.

Limeng Cui, Dongwon Lee

CoRR, 2020

DETERRENT: Knowledge Guided Graph Attention Network for Detecting Healthcare Misinformation.

Limeng Cui, Haeseung Seo, Maryam Tabar, Fenglong Ma, Suhang Wang, Dongwon Lee

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.

Limeng Cui, Siddharth Biswal, Lucas M. Glass, Greg Lever, Jimeng Sun, Cao Xiao

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Learning from label proportions with pinball loss.

Yong Shi, Limeng Cui, Zhensong Chen, Zhiquan Qi

Int. J. Mach. Learn. Cybern., 2019

Multi-view collective tensor decomposition for cross-modal hashing.

Limeng Cui, Jiawei Zhang, Lifang He, Philip S. Yu

Int. J. Multim. Inf. Retr., 2019

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

Limeng Cui

CoRR, 2019

dEFEND: Explainable Fake News Detection.

Kai Shu, Limeng Cui, Suhang Wang, Dongwon Lee, Huan Liu

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

dEFEND: A System for Explainable Fake News Detection.

Limeng Cui, Kai Shu, Suhang Wang, Dongwon Lee, Huan Liu

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

SAME: sentiment-aware multi-modal embedding for detecting fake news.

Limeng Cui, Suhang Wang, Dongwon Lee

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.

Jiawei Zhang, Limeng Cui, Yanjie Fu, Fisher B. Gouza

CoRR, 2018

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

Jiawei Zhang, Limeng Cui, Fisher B. Gouza

CoRR, 2018

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

Jiawei Zhang, Limeng Cui, Fisher B. Gouza

CoRR, 2018

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

Jiawei Zhang, Limeng Cui, Fisher B. Gouza

CoRR, 2018

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

Jiawei Zhang, Limeng Cui, Fisher B. Gouza

CoRR, 2018

On Deep Ensemble Learning from a Function Approximation Perspective.

Jiawei Zhang, Limeng Cui, Fisher B. Gouza

CoRR, 2018

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

Jiawei Zhang, Limeng Cui, Fisher B. Gouza

CoRR, 2018

SEGEN: Sample-Ensemble Genetic Evolutional Network Model.

Jiawei Zhang, Limeng Cui, Fisher B. Gouza

CoRR, 2018

Multi-view Collective Tensor Decomposition for Cross-modal Hashing.

Limeng Cui, Zhensong Chen, Jiawei Zhang, Lifang He, Yong Shi, Philip S. Yu

Proceedings of the 2018 ACM on International Conference on Multimedia Retrieval, 2018

Multi-View Fusion Through Cross-Modal Retrieval.

Limeng Cui, Zhensong Chen, Jiawei Zhang, Lifang He, Yong Shi, Philip S. Yu

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.

Yong Shi, Zhensong Chen, Zhiquan Qi, Fan Meng, Limeng Cui

Neural Comput. Appl., 2017

Learning with label proportions based on nonparallel support vector machines.

Zhensong Chen, Zhiquan Qi, Bo Wang, Limeng Cui, Fan Meng, Yong Shi

Knowl. Based Syst., 2017

LATTE: Application Oriented Network Embedding.

Jiawei Zhang, Limeng Cui, Yanjie Fu

CoRR, 2017

BL-MNE: Emerging Heterogeneous Social Network Embedding Through Broad Learning with Aligned Autoencoder.

Jiawei Zhang, Congying Xia, Chenwei Zhang, Limeng Cui, Yanjie Fu, Philip S. Yu

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

BL-ECD: Broad Learning based Enterprise Community Detection via Hierarchical Structure Fusion.

Jiawei Zhang, Limeng Cui, Philip S. Yu, Yuanhua Lv

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Inverse extreme learning machine for learning with label proportions.

Limeng Cui, Jiawei Zhang, Zhensong Chen, Yong Shi, Philip S. Yu

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

Real Time Social Attitude Expression Prediction.

Jiawei Zhang, Philip S. Yu, Charu C. Aggarwal, Limeng Cui

Proceedings of the 2017 IEEE International Congress on Big Data, 2017

2016

Automatic Road Crack Detection Using Random Structured Forests.

Yong Shi, Limeng Cui, Zhiquan Qi, Fan Meng, Zhensong Chen

IEEE Trans. Intell. Transp. Syst., 2016

Laplacian SVM for Learning from Label Proportions.

Limeng Cui, Zhensong Chen, Fan Meng, Yong Shi

Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

2015

Personalized Financial News Recommendation Algorithm Based on Ontology.

Rui Ren, Lingling Zhang, Limeng Cui, Bo Deng, Yong Shi

Proceedings of the Third International Conference on Information Technology and Quantitative Management, 2015

Image Segmentation via Improving Clustering Algorithms with Density and Distance.

Zhensong Chen, Zhiquan Qi, Fan Meng, Limeng Cui, Yong Shi

Proceedings of the Third International Conference on Information Technology and Quantitative Management, 2015

Supervised Object Boundary Detection Based on Structured Forests.

Fan Meng, Zhiquan Qi, Limeng Cui, Zhensong Chen, Yong Shi

Proceedings of the Data Science - Second International Conference, 2015

Pavement Distress Detection Using Random Decision Forests.

Limeng Cui, Zhiquan Qi, Zhensong Chen, Fan Meng, Yong Shi

Proceedings of the Data Science - Second International Conference, 2015

Pedestrian Detection Using Privileged Information.

Zhiquan Qi, Yingjie Tian, Lingfeng Niu, Fan Meng, Limeng Cui, Yong Shi

Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

2014

A Method based on One-class SVM for News Recommendation.

Limeng Cui, Yong Shi

Proceedings of the Second International Conference on Information Technology and Quantitative Management, 2014

A Hierarchy Method Based on LDA and SVM for News Classification.

Limeng Cui, Fan Meng, Yong Shi, Minqiang Li, An Liu

Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014