Hao Wang

Orcid: 0000-0003-2129-2148

Affiliations:
  • Nanjing University, Department of Computer Science and Technology, State Key Laboratory for Novel Software Technology, China
  • University of Hong Kong, Department of Computer Science, Hong Kong (PhD 2014)


According to our database1, Hao Wang authored at least 37 papers between 2009 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Bibliography

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


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