Wei Liu

According to our database, Wei Liu authored at least 130 papers between 2008 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Negatively correlated ensemble against transfer adversarial attacks.

Yunce Zhao, Wei Huang, Wei Liu, Xin Yao

Pattern Recognit., 2025

2024

Reversible jump attack to textual classifiers with modification reduction.

Mingze Ni, Zhensu Sun, Wei Liu

Mach. Learn., September, 2024

Fraud's Bargain Attack: Generating Adversarial Text Samples via Word Manipulation Process.

Mingze Ni, Zhensu Sun, Wei Liu

IEEE Trans. Knowl. Data Eng., July, 2024

Robust multi-label feature learning-based dual space.

Ali Braytee, Wei Liu

Int. J. Data Sci. Anal., May, 2024

Dynamic semantic structure distillation for low-resolution fine-grained recognition.

Mingjiang Liang, Shaoli Huang, Wei Liu

Pattern Recognit., April, 2024

Dual-track spatio-temporal learning for urban flow prediction with adaptive normalization.

Xiaoyu Li, Yongshun Gong, Wei Liu, Yilong Yin, Yu Zheng, Liqiang Nie

Artif. Intell., March, 2024

Deceiving Question-Answering Models: A Hybrid Word-Level Adversarial Approach.

Jiyao Li, Mingze Ni, Yongshun Gong, Wei Liu

CoRR, 2024

Conditional GAN for Enhancing Diffusion Models in Efficient and Authentic Global Gesture Generation from Audios.

Yongkang Cheng, Mingjiang Liang, Shaoli Huang, Gaoge Han, Jifeng Ning, Wei Liu

CoRR, 2024

RopeTP: Global Human Motion Recovery via Integrating Robust Pose Estimation with Diffusion Trajectory Prior.

Mingjiang Liang, Yongkang Cheng, Hualin Liang, Shaoli Huang, Wei Liu

CoRR, 2024

ReinDiffuse: Crafting Physically Plausible Motions with Reinforced Diffusion Model.

Gaoge Han, Mingjiang Liang, Jinglei Tang, Yongkang Cheng, Wei Liu, Shaoli Huang

CoRR, 2024

Sequential Recommendation via Adaptive Robust Attention with Multi-dimensional Embeddings.

Linsey Pang, Amir Hossein Raffiee, Wei Liu, Keld Lundgaard

CoRR, 2024

Fine-Grained Urban Flow Inference with Multi-scale Representation Learning.

Shilu Yuan, Dongfeng Li, Wei Liu, Xinxin Zhang, Meng Chen, Junjie Zhang, Yongshun Gong

CoRR, 2024

CodeS: Natural Language to Code Repository via Multi-Layer Sketch.

Daoguang Zan, Ailun Yu, Wei Liu, Dong Chen, Bo Shen, Wei Li, Yafen Yao, Yongshun Gong, Xiaolin Chen, Bei Guan, Zhiguang Yang, Yongji Wang, Qianxiang Wang, Lizhen Cui

CoRR, 2024

AICAttack: Adversarial Image Captioning Attack with Attention-Based Optimization.

Jiyao Li, Mingze Ni, Yifei Dong, Tianqing Zhu, Wei Liu

CoRR, 2024

Token-modification adversarial attacks for natural language processing: A survey.

Tom Roth, Yansong Gao, Alsharif Abuadbba, Surya Nepal, Wei Liu

AI Commun., 2024

ExpGest: Expressive Speaker Generation Using Diffusion Model and Hybrid Audio-Text Guidance.

Yongkang Cheng, Mingjiang Liang, Shaoli Huang, Jifeng Ning, Wei Liu

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Fine-Grained Urban Flow Inference with Dynamic Multi-scale Representation Learning.

Shilu Yuan, Dongfeng Li, Wei Liu, Xinxin Zhang, Meng Chen, Junjie Zhang, Yongshun Gong

Proceedings of the Database Systems for Advanced Applications, 2024

AI Agent for Information Retrieval: Generating and Ranking.

Yongfeng Zhang, Zhiwei Liu, Qingsong Wen, Linsey Pang, Wei Liu, Philip S. Yu

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Spatio-temporal Graph Normalizing Flow for Probabilistic Traffic Prediction.

Yang An, Zhibin Li, Wei Liu, Haoliang Sun, Meng Chen, Wenpeng Lu, Yongshun Gong

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

DELA: Dual Embedding Using LSTM and Attention for Asset Tag Inference in Industrial Automation Systems.

Zhen Zhao, Brian Kenneth Erickson, Shantanu Chakraborty, Wei Liu

Proceedings of the AI 2024: Advances in Artificial Intelligence, 2024

CodeM: Less Data Yields More Versatility via Ability Matrix.

Daoguang Zan, Ailun Yu, Wei Liu, Bo Shen, Shaoxin Lin, Yongshun Gong, Yafen Yao, Yan Liu, Bei Guan, Weihua Luo, Yongji Wang, Qianxiang Wang, Lizhen Cui

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

WSDS-GAN: A weak-strong dual supervised learning method for underwater image enhancement.

Qiong Liu, Qi Zhang, Wei Liu, Wenbai Chen, Xinwang Liu, Xiangke Wang

Pattern Recognit., November, 2023

Missingness-Pattern-Adaptive Learning With Incomplete Data.

Yongshun Gong, Zhibin Li, Wei Liu, Xiankai Lu, Xinwang Liu, Ivor W. Tsang, Yilong Yin

IEEE Trans. Pattern Anal. Mach. Intell., September, 2023

Semantic-Preserving Adversarial Text Attacks.

Xinghao Yang, Yongshun Gong, Weifeng Liu, James Bailey, Dacheng Tao, Wei Liu

IEEE Trans. Sustain. Comput., 2023

Missing Value Imputation for Multi-View Urban Statistical Data via Spatial Correlation Learning.

Yongshun Gong, Zhibin Li, Jian Zhang, Wei Liu, Yilong Yin, Yu Zheng

IEEE Trans. Knowl. Data Eng., 2023

Frauds Bargain Attack: Generating Adversarial Text Samples via Word Manipulation Process.

Mingze Ni, Zhensu Sun, Wei Liu

CoRR, 2023

Adversarial Active Learning with Guided BERT Feature Encoding.

Xiaolin Pang, Kexin Xie, Yuxi Zhang, Max Fleming, Damian Chen Xu, Wei Liu

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

Foundations and Applications in Large-scale AI Models: Pre-training, Fine-tuning, and Prompt-based Learning.

Derek Zhiyuan Cheng, Dhaval Patel, Linsey Pang, Sameep Mehta, Kexin Xie, Ed H. Chi, Wei Liu, Nitesh V. Chawla, James Bailey

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Fine-grained Urban Flow Inference with Unobservable Data via Space-Time Attraction Learning.

Ruifeng Wang, Yuansheng Liu, Yongshun Gong, Wei Liu, Meng Chen, Yilong Yin, Yu Zheng

Proceedings of the IEEE International Conference on Data Mining, 2023

Tensor Canonical Correlation Analysis Networks for Multi-view Remote Sensing Scene Recognition (Extended Abstract).

Xinghao Yang, Weifeng Liu, Wei Liu

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

MStoCast: Multimodal Deep Network for Stock Market Forecast.

Kamaladdin Fataliyev, Wei Liu

Proceedings of the Data Science and Machine Learning, 2023

Fraud's Bargain Attacks to Textual Classifiers via Metropolis-Hasting Sampling (Student Abstract).

Mingze Ni, Zhensu Sun, Wei Liu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Enhancing Mixture-of-Experts by Leveraging Attention for Fine-Grained Recognition.

Lianbo Zhang, Shaoli Huang, Wei Liu

IEEE Trans. Multim., 2022

Tensor Canonical Correlation Analysis Networks for Multi-View Remote Sensing Scene Recognition.

Xinghao Yang, Weifeng Liu, Wei Liu

IEEE Trans. Knowl. Data Eng., 2022

Online Spatio-Temporal Crowd Flow Distribution Prediction for Complex Metro System.

Yongshun Gong, Zhibin Li, Jian Zhang, Wei Liu, Yu Zheng

IEEE Trans. Knowl. Data Eng., 2022

Attn-HybridNet: Improving Discriminability of Hybrid Features With Attention Fusion.

Sunny Verma, Chen Wang, Liming Zhu, Wei Liu

IEEE Trans. Cybern., 2022

Learning sequentially diversified representations for fine-grained categorization.

Lianbo Zhang, Shaoli Huang, Wei Liu

Pattern Recognit., 2022

Learning multi-level weight-centric features for few-shot learning.

Mingjiang Liang, Shaoli Huang, Shirui Pan, Mingming Gong, Wei Liu

Pattern Recognit., 2022

Image fairness in deep learning: problems, models, and challenges.

Huan Tian, Tianqing Zhu, Wei Liu, Wanlei Zhou

Neural Comput. Appl., 2022

Attacking neural machine translations via hybrid attention learning.

Mingze Ni, Ce Wang, Tianqing Zhu, Shui Yu, Wei Liu

Mach. Learn., 2022

Deep Search Relevance Ranking in Practice.

Linsey Pang, Wei Liu, Keng-hao Chang, Xue Li, Moumita Bhattacharya, Xianjing Liu, Stephen D. Guo

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

AdKDD 2022.

Abraham Bagherjeiran, Nemanja Djuric, Mihajlo Grbovic, Kuang-Chih Lee, Kun Liu, Wei Liu, Linsey Pang, Vladan Radosavljevic, Suju Rajan, Kexin Xie

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.

Tao Zheng, Sunny Verma, Wei Liu

Proceedings of the International Joint Conference on Neural Networks, 2022

Applied Machine Learning Methods for Time Series Forecasting.

Linsey Pang, Wei Liu, Lingfei Wu, Kexin Xie, Stephen D. Guo, Raghav Chalapathy, Musen Wen

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Deep Learning for Search and Recommendation.

Wei Liu, Kexin Xie, Linsey Pang, James Bailey, Longbing Cao, Yuxi Zhang

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

A Survey on Canonical Correlation Analysis.

Xinghao Yang, Weifeng Liu, Wei Liu, Dacheng Tao

IEEE Trans. Knowl. Data Eng., 2021

Unveiling Hidden Implicit Similarities for Cross-Domain Recommendation.

Quan Do, Wei Liu, Jin Fan, Dacheng Tao

IEEE Trans. Knowl. Data Eng., 2021

Game Theoretical Adversarial Deep Learning With Variational Adversaries.

Aneesh Sreevallabh Chivukula, Xinghao Yang, Wei Liu, Tianqing Zhu, Wanlei Zhou

IEEE Trans. Knowl. Data Eng., 2021

Targeted Attention Attack on Deep Learning Models in Road Sign Recognition.

Xinghao Yang, Weifeng Liu, Shengli Zhang, Wei Liu, Dacheng Tao

IEEE Internet Things J., 2021

Semantic-Preserving Adversarial Text Attacks.

Xinghao Yang, Weifeng Liu, James Bailey, Tianqing Zhu, Dacheng Tao, Wei Liu

CoRR, 2021

Structure-Aware Feature Generation for Zero-Shot Learning.

Lianbo Zhang, Shaoli Huang, Xinchao Wang, Wei Liu, Dacheng Tao

CoRR, 2021

Intra-class Part Swapping for Fine-Grained Image Classification.

Lianbo Zhang, Shaoli Huang, Wei Liu

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Learning Discriminative Features Using Multi-label Dual Space.

Ali Braytee, Wei Liu

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Do We Really Need Frame-by-Frame Annotation Datasets for Object Tracking?

Lei Hu, Shaoli Huang, Shilei Wang, Wei Liu, Jifeng Ning

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

BESA: BERT-based Simulated Annealing for Adversarial Text Attacks.

Xinghao Yang, Weifeng Liu, Dacheng Tao, Wei Liu

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

IntRoute: An Integer Programming Based Approach for Best Bus Route Discovery.

Chang-Wei Sung, Xinghao Yang, Chung-Shou Liao, Wei Liu

Proceedings of the Database Systems for Advanced Applications, 2021

Bigram and Unigram Based Text Attack via Adaptive Monotonic Heuristic Search.

Xinghao Yang, Weifeng Liu, James Bailey, Dacheng Tao, Wei Liu

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Unravelling the Architecture of Membrane Proteins with Conditional Random Fields.

Lior Lukov, Sanjay Chawla, Wei Liu, Brett Church, Gaurav Pandey

CoRR, 2020

Population Location and Movement Estimation through Cross-domain Data Analysis.

Xinghao Yang, Wei Liu

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

A Spatial Missing Value Imputation Method for Multi-view Urban Statistical Data.

Yongshun Gong, Zhibin Li, Jian Zhang, Wei Liu, Bei Chen, Xiangjun Dong

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Deep-HOSeq: Deep Higher Order Sequence Fusion for Multimodal Sentiment Analysis.

Sunny Verma, Jiwei Wang, Zhefeng Ge, Rujia Shen, Fan Jin, Yang Wang, Fang Chen, Wei Liu

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Potential Passenger Flow Prediction: A Novel Study for Urban Transportation Development.

Yongshun Gong, Zhibin Li, Jian Zhang, Wei Liu, Jinfeng Yi

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Adversarial Deep Learning Models with Multiple Adversaries.

Aneesh Sreevallabh Chivukula, Wei Liu

IEEE Trans. Knowl. Data Eng., 2019

Correlated Multi-label Classification with Incomplete Label Space and Class Imbalance.

Ali Braytee, Wei Liu, Ali Anaissi, Paul J. Kennedy

ACM Trans. Intell. Syst. Technol., 2019

AdaSampling for Positive-Unlabeled and Label Noise Learning With Bioinformatics Applications.

Pengyi Yang, John T. Ormerod, Wei Liu, Chendong Ma, Albert Y. Zomaya, Jean Yee Hwa Yang

IEEE Trans. Cybern., 2019

Towards Effective Data Augmentations via Unbiased GAN Utilization.

Sunny Verma, Chen Wang, Liming Zhu, Wei Liu

Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

Multiple Knowledge Transfer for Cross-Domain Recommendation.

Quan Do, Sunny Verma, Fang Chen, Wei Liu

Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

A Compliance Checking Framework for DNN Models.

Sunny Verma, Chen Wang, Liming Zhu, Wei Liu

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

DeepCU: Integrating both Common and Unique Latent Information for Multimodal Sentiment Analysis.

Sunny Verma, Chen Wang, Liming Zhu, Wei Liu

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Adversarial Deep Learning with Stackelberg Games.

Aneesh Sreevallabh Chivukula, Xinghao Yang, Wei Liu

Proceedings of the Neural Information Processing - 26th International Conference, 2019

Learning a Mixture of Granularity-Specific Experts for Fine-Grained Categorization.

Lianbo Zhang, Shaoli Huang, Wei Liu, Dacheng Tao

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Cross-Domain Recommendation via Coupled Factorization Machines.

Lile Li, Quan Do, Wei Liu

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Sparse Feature Attacks in Adversarial Learning.

Zhizhou Yin, Fei Wang, Wei Liu, Sanjay Chawla

IEEE Trans. Knowl. Data Eng., 2018

Hybrid Networks: Improving Deep Learning Networks via Integrating Two Views of Images.

Sunny Verma, Wei Liu, Chen Wang, Liming Zhu

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.

Yongshun Gong, Zhibin Li, Jian Zhang, Wei Liu, Yu Zheng, Christina Kirsch

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Link Prediction via Factorization Machines.

Lile Li, Wei Liu

Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018

Discovering Granger-Causal Features from Deep Learning Networks.

Aneesh Sreevallabh Chivukula, Jun Li, Wei Liu

Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018

Attention-Based Transactional Context Embedding for Next-Item Recommendation.

Shoujin Wang, Liang Hu, Longbing Cao, Xiaoshui Huang, Defu Lian, Wei Liu

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

DAAR: A Discrimination-Aware Association Rule Classifier for Decision Support.

Ling Luo, Wei Liu, Irena Koprinska, Fang Chen

Trans. Large Scale Data Knowl. Centered Syst., 2017

Discovering Congestion Propagation Patterns in Spatio-Temporal Traffic Data.

Hoang Nguyen, Wei Liu, Fang Chen

IEEE Trans. Big Data, 2017

Discovering Both Explicit and Implicit Similarities for Cross-Domain Recommendation.

Quan Do, Wei Liu, Fang Chen

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

Adversarial learning games with deep learning models.

Aneesh Sreevallabh Chivukula, Wei Liu

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.

Ali Braytee, Wei Liu, Paul J. Kennedy

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Positive unlabeled learning via wrapper-based adaptive sampling.

Pengyi Yang, Wei Liu, Jean Yee Hwa Yang

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Multi-Label Feature Selection using Correlation Information.

Ali Braytee, Wei Liu, Daniel R. Catchpoole, Paul J. Kennedy

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Extracting Highly Effective Features for Supervised Learning via Simultaneous Tensor Factorization.

Sunny Verma, Wei Liu, Chen Wang, Liming Zhu

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

WTEN: An Advanced Coupled Tensor Factorization Strategy for Learning from Imbalanced Data.

Quan Do, Thanh Pham, Wei Liu, Kotagiri Ramamohanarao

Proceedings of the Web Information Systems Engineering - WISE 2016, 2016

Node Re-Ordering as a Means of Anomaly Detection in Time-Evolving Graphs.

Lida Rashidi, Andrey Kan, James Bailey, Jeffrey Chan, Christopher Leckie, Wei Liu, Sutharshan Rajasegarar, Kotagiri Ramamohanarao

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

TrafficWatch: Real-Time Traffic Incident Detection and Monitoring Using Social Media.

Hoang Nguyen, Wei Liu, Paul Rivera, Fang Chen

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

Training deep neural networks on imbalanced data sets.

Shoujin Wang, Wei Liu, Jia Wu, Longbing Cao, Qinxue Meng, Paul J. Kennedy

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

ASTEN: An accurate and scalable approach to Coupled Tensor Factorization.

Quan Do, Wei Liu

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Factorization of Multiple Tensors for Supervised Feature Extraction.

Wei Liu

Proceedings of the Neural Information Processing - 23rd International Conference, 2016

A Cost-Sensitive Learning Strategy for Feature Extraction from Imbalanced Data.

Ali Braytee, Wei Liu, Paul J. Kennedy

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.

Prasad Cheema, Nguyen Lu Dang Khoa, Mehrisadat Makki Alamdari, Wei Liu, Yang Wang, Fang Chen, Peter Runcie

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Balanced Supervised Non-Negative Matrix Factorization for Childhood Leukaemia Patients.

Ali Braytee, Daniel R. Catchpoole, Paul J. Kennedy, Wei Liu

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015

On Damage Identification in Civil Structures Using Tensor Analysis.

Nguyen Lu Dang Khoa, Bang Zhang, Yang Wang, Wei Liu, Fang Chen, Samir Mustapha, Peter Runcie

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

Discrimination-Aware Classifiers for Student Performance Prediction.

Ling Luo, Irena Koprinska, Wei Liu

Proceedings of the 8th International Conference on Educational Data Mining, 2015

Mining actionable combined patterns of high utility and frequency.

Jingyu Shao, Junfu Yin, Wei Liu, Longbing Cao

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.

Qianqian Chen, Liang Hu, Jia Xu, Wei Liu, Longbing Cao

Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015

Discrimination-Aware Association Rule Mining for Unbiased Data Analytics.

Ling Luo, Wei Liu, Irena Koprinska, Fang Chen

Proceedings of the Big Data Analytics and Knowledge Discovery, 2015

Discovering Causal Structures from Time Series Data via Enhanced Granger Causality.

Ling Luo, Wei Liu, Irena Koprinska, Fang Chen

Proceedings of the AI 2015: Advances in Artificial Intelligence, 2015

Actionable Combined High Utility Itemset Mining.

Jingyu Shao, Junfu Yin, Wei Liu, Longbing Cao

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Coupled Collaborative Filtering for Context-aware Recommendation.

Xinxin Jiang, Wei Liu, Longbing Cao, Guodong Long

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Structure-Aware Distance Measures for Comparing Clusterings in Graphs.

Jeffrey Chan, Xuan Vinh Nguyen, Wei Liu, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao, Jian Pei

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

On Sparse Feature Attacks in Adversarial Learning.

Fei Wang, Wei Liu, Sanjay Chawla

Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Causal Structure Discovery for Spatio-temporal Data.

Victor W. Chu, Raymond K. Wong, Wei Liu, Fang Chen

Proceedings of the Database Systems for Advanced Applications, 2014

Using Local Information to Significantly Improve Classification Performance.

Wei Liu, Dong Lee, Rao Kotagiri

Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

Traffic Analysis as a Service via a Unified Model.

Victor W. Chu, Raymond K. Wong, Wei Liu, Fang Chen, Chang-Shing Perng

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.

Linsey Xiaolin Pang, Sanjay Chawla, Wei Liu, Yu Zheng

Data Knowl. Eng., 2013

Mining Labelled Tensors by Discovering both their Common and Discriminative Subspaces.

James Bailey, Jeffrey Chan, Kotagiri Ramamohanarao, Christopher Leckie, Wei Liu

Proceedings of the 13th SIAM International Conference on Data Mining, 2013

A Bayesian Classifier for Learning from Tensorial Data.

Wei Liu, Jeffrey Chan, James Bailey, Christopher Leckie, Fang Chen, Kotagiri Ramamohanarao

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Ensemble-Based Wrapper Methods for Feature Selection and Class Imbalance Learning.

Pengyi Yang, Wei Liu, Bing Bing Zhou, Sanjay Chawla, Albert Y. Zomaya

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

Time Series Forecasting Using Distribution Enhanced Linear Regression.

Goce Ristanoski, Wei Liu, James Bailey

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

A time-dependent enhanced support vector machine for time series regression.

Goce Ristanoski, Wei Liu, James Bailey

Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Tikhonov or Lasso Regularization: Which Is Better and When.

Fei Wang, Sanjay Chawla, Wei Liu

Proceedings of the 25th IEEE International Conference on Tools with Artificial Intelligence, 2013

Clustering and visualization of fuzzy communities in social networks.

Timothy C. Havens, James C. Bezdek, Christopher Leckie, Jeffrey Chan, Wei Liu, James Bailey, Kotagiri Ramamohanarao, Marimuthu Palaniswami

Proceedings of the FUZZ-IEEE 2013, 2013

Discrimination aware classification for imbalanced datasets.

Goce Ristanoski, Wei Liu, James Bailey

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.

Jeffrey Chan, Wei Liu, Andrey Kan, Christopher Leckie, James Bailey, Kotagiri Ramamohanarao

Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

2012

SeqiBloc: mining multi-time spanning blockmodels in dynamic graphs.

Jeffrey Chan, Wei Liu, Christopher Leckie, James Bailey, Kotagiri Ramamohanarao

Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

On compressing weighted time-evolving graphs.

Wei Liu, Andrey Kan, Jeffrey Chan, James Bailey, Christopher Leckie, Jian Pei, Kotagiri Ramamohanarao

Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Utilizing common substructures to speedup tensor factorization for mining dynamic graphs.

Wei Liu, Jeffrey Chan, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao

Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

An Efficient Adversarial Learning Strategy for Constructing Robust Classification Boundaries.

Wei Liu, Sanjay Chawla, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao

Proceedings of the AI 2012: Advances in Artificial Intelligence, 2012

2011

A Quadratic Mean based Supervised Learning Model for Managing Data Skewness.

Wei Liu, Sanjay Chawla

Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

Class Confidence Weighted <i>k</i>NN Algorithms for Imbalanced Data Sets.

Wei Liu, Sanjay Chawla

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011

Discovering spatio-temporal causal interactions in traffic data streams.

Wei Liu, Yu Zheng, Sanjay Chawla, Jing Yuan, Xing Xie

Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

On Mining Anomalous Patterns in Road Traffic Streams.

Linsey Xiaolin Pang, Sanjay Chawla, Wei Liu, Yu Zheng

Proceedings of the Advanced Data Mining and Applications - 7th International Conference, 2011

2010

Mining adversarial patterns via regularized loss minimization.

Wei Liu, Sanjay Chawla

Mach. Learn., 2010

A Robust Decision Tree Algorithm for Imbalanced Data Sets.

Wei Liu, Sanjay Chawla, David A. Cieslak, Nitesh V. Chawla

Proceedings of the SIAM International Conference on Data Mining, 2010

2009

A Game Theoretical Model for Adversarial Learning.

Wei Liu, Sanjay Chawla

Proceedings of the ICDM Workshops 2009, 2009

2008

Spatio-temporal Outlier Detection in Precipitation Data.

Elizabeth Wu, Wei Liu, Sanjay Chawla

Proceedings of the Knowledge Discovery from Sensor Data, 2008