Wei Liu

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 78

Top Venues

CoRR

IEEE Trans. Knowl. Data Eng.

AAAI

IJCAI

Publications

Shilu Yuan, Dongfeng Li, Wei Liu, Xinxin Zhang, Meng Chen, Junjie Zhang, Yongshun Gong
Fine-Grained Urban Flow Inference with Multi-scale Representation Learning. CoRR (2024)
Ali Braytee, Wei Liu
Robust multi-label feature learning-based dual space. Int. J. Data Sci. Anal. 17 (4) (2024)
Mingze Ni, Zhensu Sun, Wei Liu
Reversible jump attack to textual classifiers with modification reduction. Mach. Learn. 113 (9) (2024)
Jiyao Li, Mingze Ni, Yifei Dong, Tianqing Zhu, Wei Liu
AICAttack: Adversarial Image Captioning Attack with Attention-Based Optimization. CoRR (2024)
Mingze Ni, Zhensu Sun, Wei Liu
Fraud's Bargain Attack: Generating Adversarial Text Samples via Word Manipulation Process. IEEE Trans. Knowl. Data Eng. 36 (7) (2024)
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
CodeS: Natural Language to Code Repository via Multi-Layer Sketch. CoRR (2024)
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
CodeM: Less Data Yields More Versatility via Ability Matrix. ACL (Findings) (2024)
Mingjiang Liang, Shaoli Huang, Wei Liu
Dynamic semantic structure distillation for low-resolution fine-grained recognition. Pattern Recognit. 148 (2024)
Xiaoyu Li, Yongshun Gong, Wei Liu, Yilong Yin, Yu Zheng, Liqiang Nie
Dual-track spatio-temporal learning for urban flow prediction with adaptive normalization. Artif. Intell. 328 (2024)
Yongshun Gong, Zhibin Li, Wei Liu, Xiankai Lu, Xinwang Liu, Ivor W. Tsang, Yilong Yin
Missingness-Pattern-Adaptive Learning With Incomplete Data. IEEE Trans. Pattern Anal. Mach. Intell. 45 (9) (2023)
Kamaladdin Fataliyev, Wei Liu
MStoCast: Multimodal Deep Network for Stock Market Forecast. AusDM (2023)
Yongshun Gong, Zhibin Li, Jian Zhang, Wei Liu, Yilong Yin, Yu Zheng
Missing Value Imputation for Multi-View Urban Statistical Data via Spatial Correlation Learning. IEEE Trans. Knowl. Data Eng. 35 (1) (2023)
Xinghao Yang, Yongshun Gong, Weifeng Liu, James Bailey, Dacheng Tao, Wei Liu
Semantic-Preserving Adversarial Text Attacks. IEEE Trans. Sustain. Comput. 8 (4) (2023)
Xinghao Yang, Weifeng Liu, Wei Liu
Tensor Canonical Correlation Analysis Networks for Multi-view Remote Sensing Scene Recognition (Extended Abstract). ICDE (2023)
Derek Zhiyuan Cheng, Dhaval Patel, Linsey Pang, Sameep Mehta, Kexin Xie, Ed H. Chi, Wei Liu, Nitesh V. Chawla, James Bailey
Foundations and Applications in Large-scale AI Models: Pre-training, Fine-tuning, and Prompt-based Learning. KDD (2023)
Huan Tian, Tianqing Zhu, Wei Liu, Wanlei Zhou
Image fairness in deep learning: problems, models, and challenges. Neural Comput. Appl. 34 (15) (2022)
Lianbo Zhang, Shaoli Huang, Wei Liu
Enhancing Mixture-of-Experts by Leveraging Attention for Fine-Grained Recognition. IEEE Trans. Multim. 24 (2022)
Sunny Verma, Chen Wang, Liming Zhu, Wei Liu
Attn-HybridNet: Improving Discriminability of Hybrid Features With Attention Fusion. IEEE Trans. Cybern. 52 (7) (2022)
Tao Zheng, Sunny Verma, Wei Liu
Interpretable Binaural Ratio for Visually Guided Binaural Audio Generation. IJCNN (2022)
Xinghao Yang, Weifeng Liu, Wei Liu
Tensor Canonical Correlation Analysis Networks for Multi-View Remote Sensing Scene Recognition. IEEE Trans. Knowl. Data Eng. 34 (6) (2022)
Lianbo Zhang, Shaoli Huang, Wei Liu
Learning sequentially diversified representations for fine-grained categorization. Pattern Recognit. 121 (2022)
Yongshun Gong, Zhibin Li, Jian Zhang, Wei Liu, Yu Zheng
Online Spatio-Temporal Crowd Flow Distribution Prediction for Complex Metro System. IEEE Trans. Knowl. Data Eng. 34 (2) (2022)
Mingze Ni, Ce Wang, Tianqing Zhu, Shui Yu, Wei Liu
Attacking neural machine translations via hybrid attention learning. Mach. Learn. 111 (11) (2022)
Aneesh Sreevallabh Chivukula, Xinghao Yang, Wei Liu, Tianqing Zhu, Wanlei Zhou
Game Theoretical Adversarial Deep Learning With Variational Adversaries. IEEE Trans. Knowl. Data Eng. 33 (11) (2021)
Xinghao Yang, Weifeng Liu, James Bailey, Dacheng Tao, Wei Liu
Bigram and Unigram Based Text Attack via Adaptive Monotonic Heuristic Search. AAAI (2021)
Quan Do, Wei Liu, Jin Fan, Dacheng Tao
Unveiling Hidden Implicit Similarities for Cross-Domain Recommendation. IEEE Trans. Knowl. Data Eng. 33 (1) (2021)
Ali Braytee, Wei Liu
Learning Discriminative Features Using Multi-label Dual Space. PAKDD (3) (2021)
Xinghao Yang, Weifeng Liu, Wei Liu, Dacheng Tao
A Survey on Canonical Correlation Analysis. IEEE Trans. Knowl. Data Eng. 33 (6) (2021)
Lianbo Zhang, Shaoli Huang, Xinchao Wang, Wei Liu, Dacheng Tao
Structure-Aware Feature Generation for Zero-Shot Learning. CoRR (2021)
Xinghao Yang, Weifeng Liu, Shengli Zhang, Wei Liu, Dacheng Tao
Targeted Attention Attack on Deep Learning Models in Road Sign Recognition. IEEE Internet Things J. 8 (6) (2021)
Ali Braytee, Wei Liu
Learning Discriminative Features using Multi-label Dual Space. CoRR (2021)
Lianbo Zhang, Shaoli Huang, Wei Liu
Intra-class Part Swapping for Fine-Grained Image Classification. WACV (2021)
Xinghao Yang, Weifeng Liu, James Bailey, Tianqing Zhu, Dacheng Tao, Wei Liu
Semantic-Preserving Adversarial Text Attacks. CoRR (2021)
Xinghao Yang, Weifeng Liu, Dacheng Tao, Wei Liu
BESA: BERT-based Simulated Annealing for Adversarial Text Attacks. IJCAI (2021)
Chang-Wei Sung, Xinghao Yang, Chung-Shou Liao, Wei Liu
IntRoute: An Integer Programming Based Approach for Best Bus Route Discovery. DASFAA (3) (2021)
Lei Hu, Shaoli Huang, Shilei Wang, Wei Liu, Jifeng Ning
Do We Really Need Frame-by-Frame Annotation Datasets for Object Tracking? ACM Multimedia (2021)
Lior Lukov, Sanjay Chawla, Wei Liu, Brett Church, Gaurav Pandey
Unravelling the Architecture of Membrane Proteins with Conditional Random Fields. CoRR (2020)
Yongshun Gong, Zhibin Li, Jian Zhang, Wei Liu, Jinfeng Yi
Potential Passenger Flow Prediction: A Novel Study for Urban Transportation Development. AAAI (2020)
Xinghao Yang, Weifeng Liu, Shengli Zhang, Wei Liu, Dacheng Tao
Targeted Attention Attack on Deep Learning Models in Road Sign Recognition. CoRR (2020)
Yongshun Gong, Zhibin Li, Jian Zhang, Wei Liu, Bei Chen, Xiangjun Dong
A Spatial Missing Value Imputation Method for Multi-view Urban Statistical Data. IJCAI (2020)
Sunny Verma, Chen Wang, Liming Zhu, Wei Liu
Attn-HybridNet: Improving Discriminability of Hybrid Features with Attention Fusion. CoRR (2020)
Sunny Verma, Jiwei Wang, Zhefeng Ge, Rujia Shen, Fan Jin, Yang Wang, Fang Chen, Wei Liu
Deep-HOSeq: Deep Higher Order Sequence Fusion for Multimodal Sentiment Analysis. ICDM (2020)
Sunny Verma, Jiwei Wang, Zhefeng Ge, Rujia Shen, Fan Jin, Yang Wang, Fang Chen, Wei Liu
Deep-HOSeq: Deep Higher Order Sequence Fusion for Multimodal Sentiment Analysis. CoRR (2020)
Xinghao Yang, Wei Liu
Population Location and Movement Estimation through Cross-domain Data Analysis. IJCAI (2020)
Sunny Verma, Chen Wang, Liming Zhu, Wei Liu
DeepCU: Integrating both Common and Unique Latent Information for Multimodal Sentiment Analysis. IJCAI (2019)
Ali Braytee, Wei Liu, Ali Anaissi, Paul J. Kennedy
Correlated Multi-label Classification with Incomplete Label Space and Class Imbalance. ACM Trans. Intell. Syst. Technol. 10 (5) (2019)
Yongshun Gong, Zhibin Li, Jian Zhang, Wei Liu, Jinfeng Yi
Potential Passenger Flow Prediction: A Novel Study for Urban Transportation Development. CoRR (2019)
Aneesh Sreevallabh Chivukula, Xinghao Yang, Wei Liu
Adversarial Deep Learning with Stackelberg Games. ICONIP (4) (2019)
Sunny Verma, Chen Wang, Liming Zhu, Wei Liu
Towards Effective Data Augmentations via Unbiased GAN Utilization. PRICAI (3) (2019)
Quan Do, Sunny Verma, Fang Chen, Wei Liu
Multiple Knowledge Transfer for Cross-Domain Recommendation. PRICAI (3) (2019)
Sunny Verma, Chen Wang, Liming Zhu, Wei Liu
A Compliance Checking Framework for DNN Models. IJCAI (2019)
Aneesh Sreevallabh Chivukula, Wei Liu
Adversarial Deep Learning Models with Multiple Adversaries. IEEE Trans. Knowl. Data Eng. 31 (6) (2019)
Lile Li, Quan Do, Wei Liu
Cross-Domain Recommendation via Coupled Factorization Machines. AAAI (2019)
Lianbo Zhang, Shaoli Huang, Wei Liu, Dacheng Tao
Learning a Mixture of Granularity-Specific Experts for Fine-Grained Categorization. ICCV (2019)
Pengyi Yang, John T. Ormerod, Wei Liu, Chendong Ma, Albert Y. Zomaya, Jean Yee Hwa Yang
AdaSampling for Positive-Unlabeled and Label Noise Learning With Bioinformatics Applications. IEEE Trans. Cybern. 49 (5) (2019)
Aneesh Sreevallabh Chivukula, Jun Li, Wei Liu
Discovering Granger-Causal Features from Deep Learning Networks. Australasian Conference on Artificial Intelligence (2018)
Yongshun Gong, Zhibin Li, Jian Zhang, Wei Liu, Yu Zheng, Christina Kirsch
Network-wide Crowd Flow Prediction of Sydney Trains via Customized Online Non-negative Matrix Factorization. CIKM (2018)
Sunny Verma, Wei Liu, Chen Wang, Liming Zhu
Hybrid Networks: Improving Deep Learning Networks via Integrating Two Views of Images. ICONIP (1) (2018)
Zhizhou Yin, Fei Wang, Wei Liu, Sanjay Chawla
Sparse Feature Attacks in Adversarial Learning. IEEE Trans. Knowl. Data Eng. 30 (6) (2018)
Shoujin Wang, Liang Hu, Longbing Cao, Xiaoshui Huang, Defu Lian, Wei Liu
Attention-Based Transactional Context Embedding for Next-Item Recommendation. AAAI (2018)
Lile Li, Wei Liu
Link Prediction via Factorization Machines. Australasian Conference on Artificial Intelligence (2018)
Sunny Verma, Wei Liu, Chen Wang, Liming Zhu
Extracting Highly Effective Features for Supervised Learning via Simultaneous Tensor Factorization. AAAI (2017)
Hoang Nguyen, Wei Liu, Fang Chen
Discovering Congestion Propagation Patterns in Spatio-Temporal Traffic Data. IEEE Trans. Big Data 3 (2) (2017)
Ling Luo, Wei Liu, Irena Koprinska, Fang Chen
DAAR: A Discrimination-Aware Association Rule Classifier for Decision Support. Trans. Large Scale Data Knowl. Centered Syst. 32 (2017)
Ali Braytee, Wei Liu, Daniel R. Catchpoole, Paul J. Kennedy
Multi-Label Feature Selection using Correlation Information. CIKM (2017)
Pengyi Yang, Wei Liu, Jean Yee Hwa Yang
Positive unlabeled learning via wrapper-based adaptive sampling. IJCAI (2017)
Aneesh Sreevallabh Chivukula, Wei Liu
Adversarial learning games with deep learning models. IJCNN (2017)
Quan Do, Wei Liu, Fang Chen
Discovering Both Explicit and Implicit Similarities for Cross-Domain Recommendation. PAKDD (2) (2017)
Ali Braytee, Wei Liu, Paul J. Kennedy
Supervised context-aware non-negative matrix factorization to handle high-dimensional high-correlated imbalanced biomedical data. IJCNN (2017)
Shoujin Wang, Wei Liu, Jia Wu, Longbing Cao, Qinxue Meng, Paul J. Kennedy
Training deep neural networks on imbalanced data sets. IJCNN (2016)
Quan Do, Thanh Pham, Wei Liu, Kotagiri Ramamohanarao
WTEN: An Advanced Coupled Tensor Factorization Strategy for Learning from Imbalanced Data. WISE (1) (2016)
Ali Braytee, Wei Liu, Paul J. Kennedy
A Cost-Sensitive Learning Strategy for Feature Extraction from Imbalanced Data. ICONIP (3) (2016)
Hoang Nguyen, Wei Liu, Paul Rivera, Fang Chen
TrafficWatch: Real-Time Traffic Incident Detection and Monitoring Using Social Media. PAKDD (1) (2016)
Prasad Cheema, Nguyen Lu Dang Khoa, Mehrisadat Makki Alamdari, Wei Liu, Yang Wang, Fang Chen, Peter Runcie
On Structural Health Monitoring Using Tensor Analysis and Support Vector Machine with Artificial Negative Data. CIKM (2016)
Lida Rashidi, Andrey Kan, James Bailey, Jeffrey Chan, Christopher Leckie, Wei Liu, Sutharshan Rajasegarar, Kotagiri Ramamohanarao
Node Re-Ordering as a Means of Anomaly Detection in Time-Evolving Graphs. ECML/PKDD (2) (2016)
Wei Liu
Factorization of Multiple Tensors for Supervised Feature Extraction. ICONIP (3) (2016)
Quan Do, Wei Liu
ASTEN: An accurate and scalable approach to Coupled Tensor Factorization. IJCNN (2016)
Ali Braytee, Daniel R. Catchpoole, Paul J. Kennedy, Wei Liu
Balanced Supervised Non-Negative Matrix Factorization for Childhood Leukaemia Patients. CIKM (2016)
Jingyu Shao, Junfu Yin, Wei Liu, Longbing Cao
Mining actionable combined patterns of high utility and frequency. DSAA (2015)
Ling Luo, Wei Liu, Irena Koprinska, Fang Chen
Discrimination-Aware Association Rule Mining for Unbiased Data Analytics. DaWaK (2015)
Ling Luo, Irena Koprinska, Wei Liu
Discrimination-Aware Classifiers for Student Performance Prediction. EDM (2015)
Qianqian Chen, Liang Hu, Jia Xu, Wei Liu, Longbing Cao
Document similarity analysis via involving both explicit and implicit semantic couplings. DSAA (2015)
Xinxin Jiang, Wei Liu, Longbing Cao, Guodong Long
Coupled Collaborative Filtering for Context-aware Recommendation. AAAI (2015)
Jingyu Shao, Junfu Yin, Wei Liu, Longbing Cao
Actionable Combined High Utility Itemset Mining. AAAI (2015)
Nguyen Lu Dang Khoa, Bang Zhang, Yang Wang, Wei Liu, Fang Chen, Samir Mustapha, Peter Runcie
On Damage Identification in Civil Structures Using Tensor Analysis. PAKDD (1) (2015)
Ling Luo, Wei Liu, Irena Koprinska, Fang Chen
Discovering Causal Structures from Time Series Data via Enhanced Granger Causality. Australasian Conference on Artificial Intelligence (2015)
Victor W. Chu, Raymond K. Wong, Wei Liu, Fang Chen, Chang-Shing Perng
Traffic Analysis as a Service via a Unified Model. IEEE SCC (2014)
Wei Liu, Dong Lee, Rao Kotagiri
Using Local Information to Significantly Improve Classification Performance. CIKM (2014)
Fei Wang, Wei Liu, Sanjay Chawla
On Sparse Feature Attacks in Adversarial Learning. ICDM (2014)
Jeffrey Chan, Xuan Vinh Nguyen, Wei Liu, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao, Jian Pei
Structure-Aware Distance Measures for Comparing Clusterings in Graphs. PAKDD (1) (2014)
Victor W. Chu, Raymond K. Wong, Wei Liu, Fang Chen
Causal Structure Discovery for Spatio-temporal Data. DASFAA (1) (2014)
Goce Ristanoski, Wei Liu, James Bailey
A time-dependent enhanced support vector machine for time series regression. KDD (2013)
James Bailey, Jeffrey Chan, Kotagiri Ramamohanarao, Christopher Leckie, Wei Liu
Mining Labelled Tensors by Discovering both their Common and Discriminative Subspaces. SDM (2013)
Pengyi Yang, Wei Liu, Bing Bing Zhou, Sanjay Chawla, Albert Y. Zomaya
Ensemble-Based Wrapper Methods for Feature Selection and Class Imbalance Learning. PAKDD (1) (2013)
Goce Ristanoski, Wei Liu, James Bailey
Discrimination aware classification for imbalanced datasets. CIKM (2013)
Wei Liu, Jeffrey Chan, James Bailey, Christopher Leckie, Fang Chen, Kotagiri Ramamohanarao
A Bayesian Classifier for Learning from Tensorial Data. ECML/PKDD (2) (2013)
Linsey Xiaolin Pang, Sanjay Chawla, Wei Liu, Yu Zheng
On detection of emerging anomalous traffic patterns using GPS data. Data Knowl. Eng. 87 (2013)
Timothy C. Havens, James C. Bezdek, Christopher Leckie, Jeffrey Chan, Wei Liu, James Bailey, Kotagiri Ramamohanarao, Marimuthu Palaniswami
Clustering and visualization of fuzzy communities in social networks. FUZZ-IEEE (2013)
Fei Wang, Sanjay Chawla, Wei Liu
Tikhonov or Lasso Regularization: Which Is Better and When. ICTAI (2013)
Jeffrey Chan, Wei Liu, Andrey Kan, Christopher Leckie, James Bailey, Kotagiri Ramamohanarao
Discovering latent blockmodels in sparse and noisy graphs using non-negative matrix factorisation. CIKM (2013)

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Publication Activity (10 Years)

Top Topics

Top Venues

Wei Liu