Weiwei Liu

Orcid: 0000-0002-0536-8176

Affiliations:
  • Wuhan University, School of Computer Science, Wuhan, China
  • University of New South Wales, School of Computer Science and Engineering, Sydney, NSW, Australia
  • University of Technology Sydney, Ultimo, NSW, Australia (PhD 2017)


According to our database1, Weiwei Liu authored at least 60 papers between 2015 and 2025.

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Timeline

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Bibliography

2025
Residual network with self-adaptive time step size.
Pattern Recognit., 2025

2024
Class-Imbalanced-Aware Distantly Supervised Named Entity Recognition.
IEEE Trans. Neural Networks Learn. Syst., September, 2024

Leveraged Matrix Completion With Noise.
IEEE Trans. Cybern., August, 2024

On the Value of Head Labels in Multi-Label Text Classification.
ACM Trans. Knowl. Discov. Data, June, 2024

Text-Guided Multi-Property Molecular Optimization with a Diffusion Language Model.
CoRR, 2024

Zero-shot Learning for Preclinical Drug Screening.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Sequential Kernel Goodness-of-fit Testing.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

DRF: Improving Certified Robustness via Distributional Robustness Framework.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Task Variance Regularized Multi-Task Learning.
IEEE Trans. Knowl. Data Eng., August, 2023

Compact network embedding for fast node classification.
Pattern Recognit., April, 2023

Signed Network Representation by Preserving Multi-Order Signed Proximity.
IEEE Trans. Knowl. Data Eng., March, 2023

RVCL: Evaluating the Robustness of Contrastive Learning via Verification.
J. Mach. Learn. Res., 2023

Graph Convolutional Incomplete Multi-modal Hashing.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Deep Partial Multi-Label Learning with Graph Disambiguation.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Delving into Noisy Label Detection with Clean Data.
Proceedings of the International Conference on Machine Learning, 2023

Better Diffusion Models Further Improve Adversarial Training.
Proceedings of the International Conference on Machine Learning, 2023

2022
The Emerging Trends of Multi-Label Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Signed network representation with novel node proximity evaluation.
Neural Networks, 2022

CLNode: Curriculum Learning for Node Classification.
CoRR, 2022

On the Tradeoff Between Robustness and Fairness.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Robustness Verification for Contrastive Learning.
Proceedings of the International Conference on Machine Learning, 2022

MetaWeighting: Learning to Weight Tasks in Multi-Task Learning.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021
Enhancing Graph Neural Networks by a High-quality Aggregation of Beneficial Information.
Neural Networks, 2021

BanditMTL: Bandit-based Multi-task Learning for Text Classification.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Guest Editorial Special Issue on Structured Multi-Output Learning: Modeling, Algorithm, Theory, and Applications.
IEEE Trans. Neural Networks Learn. Syst., 2020

Matrix Completion with Noise via Leveraged Sampling.
CoRR, 2020

Deep Interest-Shifting Network with Meta-Embeddings for Fresh Item Recommendation.
Complex., 2020

Online Partial Label Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Opinion Maximization in Social Trust Networks.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Collaboration Based Multi-Label Propagation for Fraud Detection.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Learning From Multi-Dimensional Partial Labels.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Multichannel Color Image Denoising via Weighted Schatten p-norm Minimization.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Adaptive Adversarial Multi-task Representation Learning.
Proceedings of the 37th International Conference on Machine Learning, 2020

Tchebycheff Procedure for Multi-task Text Classification.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Incorporating Label Embedding and Feature Augmentation for Multi-Dimensional Classification.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Temporal Network Embedding with High-Order Nonlinear Information.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Hyperspectral Imagery Classification via Stochastic HHSVMs.
IEEE Trans. Image Process., 2019

Metric Learning for Multi-Output Tasks.
IEEE Trans. Pattern Anal. Mach. Intell., 2019

Copula Multi-label Learning.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Discriminative and Correlative Partial Multi-Label Learning.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Sparse Extreme Multi-label Learning with Oracle Property.
Proceedings of the 36th International Conference on Machine Learning, 2019

Social Trust Network Embedding.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Two-Stage Label Embedding via Neural Factorization Machine for Multi-Label Classification.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Multilabel Prediction via Cross-View Search.
IEEE Trans. Neural Networks Learn. Syst., 2018

Multiview Discrete Hashing for Scalable Multimedia Search.
ACM Trans. Intell. Syst. Technol., 2018

Ranking Preserving Nonnegative Matrix Factorization.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Discrete Network Embedding.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Deep Discrete Prototype Multilabel Learning.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Doubly Approximate Nearest Neighbor Classification.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Compact Multi-Label Learning.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
An Easy-to-hard Learning Paradigm for Multiple Classes and Multiple Labels.
J. Mach. Learn. Res., 2017

Making Decision Trees Feasible in Ultrahigh Feature and Label Dimensions.
J. Mach. Learn. Res., 2017

Sparse Embedded k-Means Clustering.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Compact Multiple-Instance Learning.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Compressed K-Means for Large-Scale Clustering.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Sparse Perceptron Decision Tree for Millions of Dimensions.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Mining Top K Spread Sources for a Specific Topic and a Given Node.
IEEE Trans. Cybern., 2015

On the Optimality of Classifier Chain for Multi-label Classification.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Large Margin Metric Learning for Multi-Label Prediction.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Effectively Predicting Whether and When a Topic Will Become Prevalent in a Social Network.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015


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