Wei Liu

Wei Liu

University of Technology

H-index: 29

Asia-India

About Wei Liu

Wei Liu, With an exceptional h-index of 29 and a recent h-index of 25 (since 2020), a distinguished researcher at University of Technology, specializes in the field of Machine Learning, Data Science, Artificial Intelligence.

His recent articles reflect a diverse array of research interests and contributions to the field:

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

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

Reversible Jump Attack to Textual Classifiers with Modification Reduction

AICAttack: Adversarial Image Captioning Attack with Attention-Based Optimization

Robust multi-label feature learning-based dual space

Adversarial Active Learning with Guided BERT Feature Encoding

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

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

Wei Liu Information

University

Position

___

Citations(all)

4041

Citations(since 2020)

2729

Cited By

2250

hIndex(all)

29

hIndex(since 2020)

25

i10Index(all)

57

i10Index(since 2020)

47

Email

University Profile Page

University of Technology

Google Scholar

View Google Scholar Profile

Wei Liu Skills & Research Interests

Machine Learning

Data Science

Artificial Intelligence

Top articles of Wei Liu

Title

Journal

Author(s)

Publication Date

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

IEEE Transactions on Knowledge and Data Engineering

Mingze Ni

Zhensu Sun

Wei Liu

2024/1/9

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

Pattern Recognition

Mingjiang Liang

Shaoli Huang

Wei Liu

2024/4/1

Reversible Jump Attack to Textual Classifiers with Modification Reduction

Machine Learning

Mingze Ni

Zhensu Sun

Wei Liu

2024/4/22

AICAttack: Adversarial Image Captioning Attack with Attention-Based Optimization

arXiv preprint arXiv:2402.11940

Jiyao Li

Mingze Ni

Yifei Dong

Tianqing Zhu

Wei Liu

2024/2/19

Robust multi-label feature learning-based dual space

International Journal of Data Science and Analytics

Ali Braytee

Wei Liu

2024/1/13

Adversarial Active Learning with Guided BERT Feature Encoding

Xiaolin Pang

Kexin Xie

Yuxi Zhang

Max Fleming

Damian Chen Xu

...

2023/5/28

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

Derek Cheng

Dhaval Patel

Linsey Pang

Sameep Mehta

Kexin Xie

...

2023/8/6

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

Xinghao Yang

Weifeng Liu

Wei Liu

2023/4/3

Summarization Attack via Paraphrasing

Proceedings of the 37th AAAI Conference on Artificial Intelligence, AAAI 2023

Jiyao Li

Wei Liu

2023/6/27

MStoCast: Multimodal Deep Network for Stock Market Forecast

Kamaladdin Fataliyev

Wei Liu

2023/12/5

Semantic-Preserving Adversarial Text Attacks

IEEE Transactions on Sustainable Computing

Xinghao Yang

Yongshun Gong

Weifeng Liu

James Bailey

Dacheng Tao

...

2023/3/31

Fraud's Bargain Attacks to Textual Classifiers via Metropolis-Hasting Sampling

Proceedings of the 37th AAAI Conference on Artificial Intelligence, AAAI 2023

Mingze Ni

Zhensu Sun

Wei Liu

2023/6/27

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

Ruifeng Wang

Yuansheng Liu

Yongshun Gong

Wei Liu

Meng Chen

...

2023/12/1

Missingness-Pattern-Adaptive Learning With Incomplete Data

IEEE Transactions on Pattern Analysis and Machine Intelligence

Yongshun Gong

Zhibin Li

Wei Liu

Xiankai Lu

Xinwang Liu

...

2023/3/29

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

Proceedings of the AAAI Conference on Artificial Intelligence

Mingze Ni

Zhensu Sun

Wei Liu

2023/6/26

MCASP: Multi-Modal Cross Attention Network for Stock Market Prediction

Kamaladdin Fataliyev

Wei Liu

2023/11

Adversarial Machine Learning: Attack Surfaces, Defence Mechanisms, Learning Theories in Artificial Intelligence

Aneesh Sreevallabh Chivukula

Xinghao Yang

Bo Liu

Wei Liu

Wanlei Zhou

2023/1/1

Summarization Attack via Paraphrasing (Student Abstract)

Proceedings of the AAAI Conference on Artificial Intelligence

Jiyao Li

Wei Liu

2023/6/26

Adversarial Deep Learning in Cybersecurity Attack Taxonomies, Defence Mechanisms, and Learning Theories

Aneesh Sreevallabh Chivukula

Xinghao Yang

Bo Liu

Wei Liu

Wanlei Zhou

2023/8/13

Adversarial Machine Learning

Aneesh Sreevallabh Chivukula

Xinghao Yang

Bo Liu

Wei Liu

Wanlei Zhou

2022/8/26

See List of Professors in Wei Liu University(University of Technology)

Co-Authors

H-index: 110
Jian Pei

Jian Pei

Simon Fraser University

H-index: 65
Longbing Cao

Longbing Cao

University of Technology & Management

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