2023
Online Passive-Aggressive Multilabel Classification Algorithms.
IEEE Trans. Neural Networks Learn. Syst., December, 2023
Dynamic Set Similarity Join: An Update Log Based Approach.
IEEE Trans. Knowl. Data Eng., April, 2023
2022
Few-Shot Named Entity Recognition via Meta-Learning.
IEEE Trans. Knowl. Data Eng., 2022
Dynamic top-k influence maximization in social networks.
GeoInformatica, 2022
2021
Crowdsourced top-k queries by pairwise preference judgments with confidence and budget control.
VLDB J., 2021
Learning-Based Computer-Aided Prescription Model for Parkinson's Disease: A Data-Driven Perspective.
IEEE J. Biomed. Health Informatics, 2021
Towards Efficient Selection of Activity Trajectories based on Diversity and Coverage.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Multisource Aggregation Search and Scheduling for Remote Sensing Data Cluster.
IEEE Geosci. Remote. Sens. Lett., 2020
Contextual Bandits With Hidden Features to Online Recommendation via Sparse Interactions.
IEEE Intell. Syst., 2020
2019
Tracking Sparse Linear Classifiers.
IEEE Trans. Neural Networks Learn. Syst., 2019
A Contextual Bandit Approach to Personalized Online Recommendation via Sparse Interactions.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019
2018
Joint user knowledge and matrix factorization for recommender systems.
World Wide Web, 2018
Active learning with confidence-based answers for crowdsourcing labeling tasks.
Knowl. Based Syst., 2018
Joint Multi-field Siamese Recurrent Neural Network for Entity Resolution.
Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018
Online Feature Selection by Adaptive Sub-gradient Methods.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018
Feature Learning and Transfer Performance Prediction for Video Reinforcement Learning Tasks via a Siamese Convolutional Neural Network.
Proceedings of the Neural Information Processing - 25th International Conference, 2018
An Optimal Algorithm for the Stochastic Bandits with Knowing Near-optimal Mean Reward.
Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018
2017
A Confidence-Aware Top-k Query Processing Toolkit on Crowdsourcing.
Proc. VLDB Endow., 2017
Personalized location recommendation by aggregating multiple recommenders in diversity.
GeoInformatica, 2017
Classification of high-dimensional evolving data streams via a resource-efficient online ensemble.
Data Min. Knowl. Discov., 2017
Attributes coupling based matrix factorization for item recommendation.
Appl. Intell., 2017
Crowdsourced Top-k Queries by Confidence-Aware Pairwise Judgments.
Proceedings of the 2017 ACM International Conference on Management of Data, 2017
Exploiting Location Significance and User Authority for Point-of-Interest Recommendation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017
2016
Incremental Nonnegative Matrix Factorization Based on Matrix Sketching and k-means Clustering.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2016, 2016
Grouping Parallel Bayesian Network Structure Learning Algorithm Based on Variable Ordering.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2016, 2016
A Fast Distributed Classification Algorithm for Large-Scale Imbalanced Data.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016
Measuring the Distance Between Finite Markov Decision Processes.
Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, 2016
Efficient Average Reward Reinforcement Learning Using Constant Shifting Values.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016
2015
On Dynamic Top-k Influence Maximization.
Proceedings of the Web-Age Information Management - 16th International Conference, 2015
Interactive image segmentation via cascaded metric learning.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015
2014
Advanced rank-aware queries and recommendation with novel types of data.
PhD thesis, 2014
Durable Queries over Historical Time Series.
IEEE Trans. Knowl. Data Eng., 2014
2013
Location recommendation in location-based social networks using user check-in data.
Proceedings of the 21st SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2013
2012
Training SVM email classifiers using very large imbalanced dataset.
J. Exp. Theor. Artif. Intell., 2012
2010
RL-DOT: A Reinforcement Learning NPC Team for Playing Domination Games.
IEEE Trans. Comput. Intell. AI Games, 2010
2009
A Safe Approach to Shrink Email Sample Set while Keeping Balance between Spam and Normal.
Proceedings of the Third IEEE International Conference on Secure Software Integration and Reliability Improvement, 2009
Apply ant colony optimization to Tetris.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009