Wei Liu

Orcid: 0000-0002-3003-1313

Affiliations:
  • University of Technology Sydney, Australia
  • University of Melbourne, Australia
  • University of Sydney, Australia


According to our database1, Wei Liu authored at least 105 papers between 2008 and 2024.

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

Timeline

Legend:

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Bibliography

2024
Dynamic semantic structure distillation for low-resolution fine-grained recognition.
Pattern Recognit., April, 2024

Dual-track spatio-temporal learning for urban flow prediction with adaptive normalization.
Artif. Intell., March, 2024

2023
Missingness-Pattern-Adaptive Learning With Incomplete Data.
IEEE Trans. Pattern Anal. Mach. Intell., September, 2023

Semantic-Preserving Adversarial Text Attacks.
IEEE Trans. Sustain. Comput., 2023

Missing Value Imputation for Multi-View Urban Statistical Data via Spatial Correlation Learning.
IEEE Trans. Knowl. Data Eng., 2023

Foundations and Applications in Large-scale AI Models: Pre-training, Fine-tuning, and Prompt-based Learning.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Tensor Canonical Correlation Analysis Networks for Multi-view Remote Sensing Scene Recognition (Extended Abstract).
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022
Enhancing Mixture-of-Experts by Leveraging Attention for Fine-Grained Recognition.
IEEE Trans. Multim., 2022

Tensor Canonical Correlation Analysis Networks for Multi-View Remote Sensing Scene Recognition.
IEEE Trans. Knowl. Data Eng., 2022

Online Spatio-Temporal Crowd Flow Distribution Prediction for Complex Metro System.
IEEE Trans. Knowl. Data Eng., 2022

Attn-HybridNet: Improving Discriminability of Hybrid Features With Attention Fusion.
IEEE Trans. Cybern., 2022

Learning sequentially diversified representations for fine-grained categorization.
Pattern Recognit., 2022

Learning multi-level weight-centric features for few-shot learning.
Pattern Recognit., 2022

Image fairness in deep learning: problems, models, and challenges.
Neural Comput. Appl., 2022

Attacking neural machine translations via hybrid attention learning.
Mach. Learn., 2022

Deep Search Relevance Ranking in Practice.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

AdKDD 2022.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Interpretable Binaural Ratio for Visually Guided Binaural Audio Generation.
Proceedings of the International Joint Conference on Neural Networks, 2022

Applied Machine Learning Methods for Time Series Forecasting.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Deep Learning for Search and Recommendation.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
A Survey on Canonical Correlation Analysis.
IEEE Trans. Knowl. Data Eng., 2021

Unveiling Hidden Implicit Similarities for Cross-Domain Recommendation.
IEEE Trans. Knowl. Data Eng., 2021

Game Theoretical Adversarial Deep Learning With Variational Adversaries.
IEEE Trans. Knowl. Data Eng., 2021

Targeted Attention Attack on Deep Learning Models in Road Sign Recognition.
IEEE Internet Things J., 2021

Semantic-Preserving Adversarial Text Attacks.
CoRR, 2021

Structure-Aware Feature Generation for Zero-Shot Learning.
CoRR, 2021

Intra-class Part Swapping for Fine-Grained Image Classification.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Learning Discriminative Features Using Multi-label Dual Space.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Do We Really Need Frame-by-Frame Annotation Datasets for Object Tracking?
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

BESA: BERT-based Simulated Annealing for Adversarial Text Attacks.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

IntRoute: An Integer Programming Based Approach for Best Bus Route Discovery.
Proceedings of the Database Systems for Advanced Applications, 2021

Bigram and Unigram Based Text Attack via Adaptive Monotonic Heuristic Search.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Unravelling the Architecture of Membrane Proteins with Conditional Random Fields.
CoRR, 2020

Population Location and Movement Estimation through Cross-domain Data Analysis.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

A Spatial Missing Value Imputation Method for Multi-view Urban Statistical Data.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Deep-HOSeq: Deep Higher Order Sequence Fusion for Multimodal Sentiment Analysis.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Potential Passenger Flow Prediction: A Novel Study for Urban Transportation Development.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Adversarial Deep Learning Models with Multiple Adversaries.
IEEE Trans. Knowl. Data Eng., 2019

Correlated Multi-label Classification with Incomplete Label Space and Class Imbalance.
ACM Trans. Intell. Syst. Technol., 2019

AdaSampling for Positive-Unlabeled and Label Noise Learning With Bioinformatics Applications.
IEEE Trans. Cybern., 2019

Towards Effective Data Augmentations via Unbiased GAN Utilization.
Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

Multiple Knowledge Transfer for Cross-Domain Recommendation.
Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

A Compliance Checking Framework for DNN Models.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

DeepCU: Integrating both Common and Unique Latent Information for Multimodal Sentiment Analysis.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Adversarial Deep Learning with Stackelberg Games.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

Learning a Mixture of Granularity-Specific Experts for Fine-Grained Categorization.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Cross-Domain Recommendation via Coupled Factorization Machines.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Sparse Feature Attacks in Adversarial Learning.
IEEE Trans. Knowl. Data Eng., 2018

Hybrid Networks: Improving Deep Learning Networks via Integrating Two Views of Images.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

Network-wide Crowd Flow Prediction of Sydney Trains via Customized Online Non-negative Matrix Factorization.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Link Prediction via Factorization Machines.
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018

Discovering Granger-Causal Features from Deep Learning Networks.
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018

Attention-Based Transactional Context Embedding for Next-Item Recommendation.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
DAAR: A Discrimination-Aware Association Rule Classifier for Decision Support.
Trans. Large Scale Data Knowl. Centered Syst., 2017

Discovering Congestion Propagation Patterns in Spatio-Temporal Traffic Data.
IEEE Trans. Big Data, 2017

Discovering Both Explicit and Implicit Similarities for Cross-Domain Recommendation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

Adversarial learning games with deep learning models.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Supervised context-aware non-negative matrix factorization to handle high-dimensional high-correlated imbalanced biomedical data.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Positive unlabeled learning via wrapper-based adaptive sampling.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Multi-Label Feature Selection using Correlation Information.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Extracting Highly Effective Features for Supervised Learning via Simultaneous Tensor Factorization.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
WTEN: An Advanced Coupled Tensor Factorization Strategy for Learning from Imbalanced Data.
Proceedings of the Web Information Systems Engineering - WISE 2016, 2016

Node Re-Ordering as a Means of Anomaly Detection in Time-Evolving Graphs.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

TrafficWatch: Real-Time Traffic Incident Detection and Monitoring Using Social Media.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

Training deep neural networks on imbalanced data sets.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

ASTEN: An accurate and scalable approach to Coupled Tensor Factorization.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Factorization of Multiple Tensors for Supervised Feature Extraction.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

A Cost-Sensitive Learning Strategy for Feature Extraction from Imbalanced Data.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

On Structural Health Monitoring Using Tensor Analysis and Support Vector Machine with Artificial Negative Data.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Balanced Supervised Non-Negative Matrix Factorization for Childhood Leukaemia Patients.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015
On Damage Identification in Civil Structures Using Tensor Analysis.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

Discrimination-Aware Classifiers for Student Performance Prediction.
Proceedings of the 8th International Conference on Educational Data Mining, 2015

Mining actionable combined patterns of high utility and frequency.
Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015

Document similarity analysis via involving both explicit and implicit semantic couplings.
Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015

Discrimination-Aware Association Rule Mining for Unbiased Data Analytics.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2015

Discovering Causal Structures from Time Series Data via Enhanced Granger Causality.
Proceedings of the AI 2015: Advances in Artificial Intelligence, 2015

Actionable Combined High Utility Itemset Mining.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Coupled Collaborative Filtering for Context-aware Recommendation.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Structure-Aware Distance Measures for Comparing Clusterings in Graphs.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

On Sparse Feature Attacks in Adversarial Learning.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Causal Structure Discovery for Spatio-temporal Data.
Proceedings of the Database Systems for Advanced Applications, 2014

Using Local Information to Significantly Improve Classification Performance.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

Traffic Analysis as a Service via a Unified Model.
Proceedings of the IEEE International Conference on Services Computing, SCC 2014, Anchorage, AK, USA, June 27, 2014

2013
On detection of emerging anomalous traffic patterns using GPS data.
Data Knowl. Eng., 2013

Mining Labelled Tensors by Discovering both their Common and Discriminative Subspaces.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

A Bayesian Classifier for Learning from Tensorial Data.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Ensemble-Based Wrapper Methods for Feature Selection and Class Imbalance Learning.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

Time Series Forecasting Using Distribution Enhanced Linear Regression.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

A time-dependent enhanced support vector machine for time series regression.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Tikhonov or Lasso Regularization: Which Is Better and When.
Proceedings of the 25th IEEE International Conference on Tools with Artificial Intelligence, 2013

Clustering and visualization of fuzzy communities in social networks.
Proceedings of the FUZZ-IEEE 2013, 2013

Discrimination aware classification for imbalanced datasets.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

Discovering latent blockmodels in sparse and noisy graphs using non-negative matrix factorisation.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

2012
SeqiBloc: mining multi-time spanning blockmodels in dynamic graphs.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

On compressing weighted time-evolving graphs.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Utilizing common substructures to speedup tensor factorization for mining dynamic graphs.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

An Efficient Adversarial Learning Strategy for Constructing Robust Classification Boundaries.
Proceedings of the AI 2012: Advances in Artificial Intelligence, 2012

2011
A Quadratic Mean based Supervised Learning Model for Managing Data Skewness.
Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

Class Confidence Weighted <i>k</i>NN Algorithms for Imbalanced Data Sets.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011

Discovering spatio-temporal causal interactions in traffic data streams.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

On Mining Anomalous Patterns in Road Traffic Streams.
Proceedings of the Advanced Data Mining and Applications - 7th International Conference, 2011

2010
Mining adversarial patterns via regularized loss minimization.
Mach. Learn., 2010

A Robust Decision Tree Algorithm for Imbalanced Data Sets.
Proceedings of the SIAM International Conference on Data Mining, 2010

2009
A Game Theoretical Model for Adversarial Learning.
Proceedings of the ICDM Workshops 2009, 2009

2008
Spatio-temporal Outlier Detection in Precipitation Data.
Proceedings of the Knowledge Discovery from Sensor Data, 2008


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