Wei Wang

Orcid: 0000-0001-7289-4822

Affiliations:
  • Nanjing University, State Key Laboratory for Novel Software Technology, Nanjing, China
  • Nanjing University, Department of Computer Science and Technology, China (PhD 2012)


According to our database1, Wei Wang authored at least 22 papers between 2007 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
A Framework for Detecting Frauds from Extremely Few Labels.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Adaptive Clustered Federated Learning with Representation Similarity.
Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023

Treatment Effect Estimation across Domains.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
Exploiting Mixed Unlabeled Data for Detecting Samples of Seen and Unseen Out-of-Distribution Classes.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Multi-Task Learning via Generalized Tensor Trace Norm.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Multi-Modal Multi-Instance Multi-Label Learning with Graph Convolutional Network.
Proceedings of the International Joint Conference on Neural Networks, 2021

Multi-View Representation Learning with Manifold Smoothness.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Co-GCN for Multi-View Semi-Supervised Learning.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Towards making co-training suffer less from insufficient views.
Frontiers Comput. Sci., 2019

Coreset Stochastic Variance-Reduced Gradient with Application to Optimal Margin Distribution Machine.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Tri-net for Semi-Supervised Deep Learning.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017
Theoretical Foundation of Co-Training and Disagreement-Based Algorithms.
CoRR, 2017

Obtaining High-Quality Label by Distinguishing between Easy and Hard Items in Crowdsourcing.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2015
Crowdsourcing label quality: a theoretical analysis.
Sci. China Inf. Sci., 2015

2013
Co-Training with Insufficient Views.
Proceedings of the Asian Conference on Machine Learning, 2013

2012
Unsupervised metric fusion by cross diffusion.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

Disagreement-Based Multi-system Tracking.
Proceedings of the Computer Vision - ACCV 2012 Workshops, 2012

2010
Exploiting remote learners in Internet environment with agents.
Sci. China Inf. Sci., 2010

Multi-View Active Learning in the Non-Realizable Case.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

A New Analysis of Co-Training.
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

2008
On multi-view active learning and the combination with semi-supervised learning.
Proceedings of the Machine Learning, 2008

2007
Analyzing Co-training Style Algorithms.
Proceedings of the Machine Learning: ECML 2007, 2007


  Loading...