Jundong Li

According to our database1, Jundong Li authored at least 67 papers between 2014 and 2019.

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

Timeline

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Links

On csauthors.net:

Bibliography

2019
Generating Reliable Friends via Adversarial Training to Improve Social Recommendation.
CoRR, 2019

Graph Neural Networks with High-order Feature Interactions.
CoRR, 2019

SpecAE: Spectral AutoEncoder for Anomaly Detection in Attributed Networks.
CoRR, 2019

Deep Structured Cross-Modal Anomaly Detection.
CoRR, 2019

Explaining Vulnerabilities to Adversarial Machine Learning through Visual Analytics.
CoRR, 2019

Learning Individual Treatment Effects from Networked Observational Data.
CoRR, 2019

Interactive Anomaly Detection on Attributed Networks.
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

XBully: Cyberbullying Detection within a Multi-Modal Context.
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

Robust Factorization Machine: A Doubly Capped Norms Minimization.
Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

Deep Anomaly Detection on Attributed Networks.
Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

Adaptive Unsupervised Feature Selection on Attributed Networks.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Learning From Networks: Algorithms, Theory, and Applications.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Deep Structured Cross-Modal Anomaly Detection.
Proceedings of the International Joint Conference on Neural Networks, 2019

InterSpot: Interactive Spammer Detection in Social Media.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

PI-Bully: Personalized Cyberbullying Detection with Peer Influence.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Online Collaborative Filtering with Implicit Feedback.
Proceedings of the Database Systems for Advanced Applications, 2019

Anomaly Detection in Time-Evolving Attributed Networks.
Proceedings of the Database Systems for Advanced Applications, 2019

Heterogeneous Information Network Hashing for Fast Nearest Neighbor Search.
Proceedings of the Database Systems for Advanced Applications, 2019

2018
A General Embedding Framework for Heterogeneous Information Learning in Large-Scale Networks.
TKDD, 2018

Exploiting Multilabel Information for Noise-Resilient Feature Selection.
ACM TIST, 2018

Toward online node classification on streaming networks.
Data Min. Knowl. Discov., 2018

Feature Selection: A Data Perspective.
ACM Comput. Surv., 2018

Online Newton Step Algorithm with Estimated Gradient.
CoRR, 2018

A Survey of Learning Causality with Data: Problems and Methods.
CoRR, 2018

Multi-Level Network Embedding with Boosted Low-Rank Matrix Approximation.
CoRR, 2018

Understanding and Predicting Delay in Reciprocal Relations.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Streaming Link Prediction on Dynamic Attributed Networks.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

Exploring Expert Cognition for Attributed Network Embedding.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

Multi-Layered Network Embedding.
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Toward Relational Learning with Misinformation.
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

On Interpretation of Network Embedding via Taxonomy Induction.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

ANOMALOUS: A Joint Modeling Approach for Anomaly Detection on Attributed Networks.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

INITIATOR: Noise-contrastive Estimation for Marked Temporal Point Process.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Interactive Unknowns Recommendation in E-Learning Systems.
Proceedings of the IEEE International Conference on Data Mining, 2018

Adaptive Implicit Friends Identification over Heterogeneous Network for Social Recommendation.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Personalized Privacy-Preserving Social Recommendation.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Unsupervised Personalized Feature Selection.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Budget Online Learning Algorithm for Least Squares SVM.
IEEE Trans. Neural Netw. Learning Syst., 2017

Exploiting Expertise Rules for Statistical Data-Driven Modeling.
IEEE Trans. Industrial Electronics, 2017

Exploiting statistically significant dependent rules for associative classification.
Intell. Data Anal., 2017

Challenges of Feature Selection for Big Data Analytics.
IEEE Intelligent Systems, 2017

Understanding and Predicting Delay in Reciprocal Relations.
CoRR, 2017

Attributed Network Embedding for Learning in a Dynamic Environment.
CoRR, 2017

Understanding and Discovering Deliberate Self-harm Content in Social Media.
Proceedings of the 26th International Conference on World Wide Web, 2017

Label Informed Attributed Network Embedding.
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

Gleaning Wisdom from the Past: Early Detection of Emerging Rumors in Social Media.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Toward Personalized Relational Learning.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Accelerated Attributed Network Embedding.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Sentiment Informed Cyberbullying Detection in Social Media.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Unsupervised Feature Selection in Signed Social Networks.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Reconstruction-based Unsupervised Feature Selection: An Embedded Approach.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Radar: Residual Analysis for Anomaly Detection in Attributed Networks.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Attributed Network Embedding for Learning in a Dynamic Environment.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Unsupervised Sentiment Analysis with Signed Social Networks.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
On discovering co-location patterns in datasets: a case study of pollutants and child cancers.
GeoInformatica, 2016

Challenges of Feature Selection for Big Data Analytics.
CoRR, 2016

Feature Selection: A Data Perspective.
CoRR, 2016

Robust Unsupervised Feature Selection on Networked Data.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Multi-Label Informed Feature Selection.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Toward Time-Evolving Feature Selection on Dynamic Networks.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

FeatureMiner: A Tool for Interactive Feature Selection.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015
Associative Classification with Statistically Significant Positive and Negative Rules.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

Unsupervised Streaming Feature Selection in Social Media.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

2014
On Discovering Co-Location Patterns in Datasets: A Case Study of Pollutants and Child Cancers.
CoRR, 2014

Discovering Statistically Significant Co-location Rules in Datasets with Extended Spatial Objects.
Proceedings of the Data Warehousing and Knowledge Discovery, 2014

Active Learning Strategies for Semi-Supervised DBSCAN.
Proceedings of the Advances in Artificial Intelligence, 2014

Negative Association Rules.
Proceedings of the Frequent Pattern Mining, 2014


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