Qiang Liu

5.6k citations

164 papers · 2.9k · 4 hit papers · h-index 26

Impact in

Artificial Intelligence top 0.5%
- Anomaly Detection Techniques and Applications
- Adversarial Robustness in Machine Learning
- Advanced Graph Neural Networks
- Domain Adaptation and Few-Shot Learning
- Internet Traffic Analysis and Secure E-voting
Computer Vision and Pattern Recognition top 1%

Papers in

Artificial Intelligence 68
- Machine Learning and ELM 13
- Domain Adaptation and Few-Shot Learning 10
- Anomaly Detection Techniques and Applications 10
Computer Vision and Pattern Recognition 50
- Face and Expression Recognition 13
- Advanced Neural Network Applications 11
- Advanced Image and Video Retrieval Techniques 11

Co-authors: Jianjing Cui (2 shared papers)Erxue Min (2 shared papers)Jun Long (2 shared papers)Shu Wu (6 shared papers)Jianping Yin (26 shared papers)Xifeng Guo (2 shared papers)Gen Zhang (1 shared paper)Wentao Zhao (12 shared papers)
Journals: IEEE Access (6 papers)Remote Sensing (4 papers)Neurocomputing (3 papers)IEEE Transactions on Knowledge and Data Engineering (3 papers)Computational Intelligence and Neuroscience (2 papers)
Partner nations: China United States Canada

In The Last Decade

Qiang Liu

154 papers receiving 2.8k citations

Qiang Liu's Hit Papers

align trajectories log scale

Image as a Foreign Language: BEIT Pretraining for Vision and Vision-Language Tasks 2023 · 260 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2023 Image as a Foreign Language: BEIT Pretraining for Vision and Vision-Language Tasks
2022 IEEE Transactions on Knowledge and Data Engineering
2018 IEEE Access
2018 IEEE Access

Peers

Countries citing papers authored by Qiang Liu

Since Specialization

Citations

This map shows the geographic impact of Qiang Liu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Qiang Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qiang Liu more than expected).

Fields of papers citing papers by Qiang Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Qiang Liu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Qiang Liu. The network helps show where Qiang Liu may publish in the future.

Co-authors

The 25 scholars most cited alongside Qiang Liu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Qiang Liu Line = papers co-authored together Qiang Liu links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 164 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	A Survey of Clustering With Deep Learning: From the Perspective of Network Architecture IEEE Access ·Erxue Min, Xifeng Guo, Qiang Liu, Gen Zhang, Jianjing Cui, Jun Long Hit paper breakdown →	2018	347
2	A Survey on Security Threats and Defensive Techniques of Machine Learning: A Data Driven View IEEE Access ·Qiang Liu, Pan Li, Wentao Zhao, Wei Cai, Shui Yu, Victor C. M. Leung Hit paper breakdown →	2018	270
3	Image as a Foreign Language: BEIT Pretraining for Vision and Vision-Language Tasks Wenhui Wang, Hangbo Bao, Dong Li, Johan Björck, Zhiliang Peng, Qiang Liu, Kriti Aggarwal, Owais Khan Mohammed, Saksham Singhal, Subhojit Som, Furu Wei Hit paper breakdown →	2023	260
4	Dynamic Graph Neural Networks for Sequential Recommendation IEEE Transactions on Knowledge and Data Engineering ·Mengqi Zhang, Shu Wu, Xueli Yu, Qiang Liu, Liang Wang Hit paper breakdown →	2022	145
5	TR-IDS: Anomaly-Based Intrusion Detection through Text-Convolutional Neural Network and Random Forest Security and Communication Networks ·Erxue Min, Jun Long, Qiang Liu, Jianjing Cui, Wei Chen	2018	125
6	Context-Aware Sequential Recommendation Qiang Liu, Shu Wu, Diyi Wang, Zhaokang Li, Liang Wang	2016	115
7	Coverless steganography based on image retrieval of DenseNet features and DWT sequence mapping Knowledge-Based Systems ·Qiang Liu, Xuyu Xiang, Jiaohua Qin, Yun Tan, Junshan Tan, Yuanjing Luo	2019	111
8	Spatial–Temporal Federated Transfer Learning with multi-sensor data fusion for cooperative positioning Information Fusion ·Xiaokang Zhou, Qiuyue Yang, Qiang Liu, Wei Liang, Kevin I‐Kai Wang, Zhi Liu, Jianhua Ma, Qun Jin	2023	78
9	Training Robust Deep Neural Networks via Adversarial Noise Propagation IEEE Transactions on Image Processing ·Aishan Liu, Xianglong Liu, Hang Yu, Chongzhi Zhang, Qiang Liu, Dacheng Tao	2021	75
10	A Survey on Security-Aware Measurement in SDN Security and Communication Networks ·Heng Zhang, Zhiping Cai, Qiang Liu, Qingjun Xiao, Yangyang Li, Chak Fone Cheang	2018	59
11	On IoT intrusion detection based on data augmentation for enhancing learning on unbalanced samples Future Generation Computer Systems ·Ying Zhang, Qiang Liu	2022	52
12	Subspace segmentation-based robust multiple kernel clustering Information Fusion ·Sihang Zhou, En Zhu, Xinwang Liu, Tianming Zheng, Qiang Liu, Jingyuan Xia, Jianping Yin	2019	52
13	Aggregating Ordinal Labels from Crowds by Minimax Conditional Entropy International Conference on Machine Learning ·Dengyong Zhou, Qiang Liu, John Platt, Christopher Meek	2014	49
14	Detecting Abnormality without Knowing Normality UTS ePRESS (University of Technology Sydney) ·Siqi Wang, Yijie Zeng, Qiang Liu, Chengzhang Zhu, En Zhu, Jianping Yin	2018	42
15	Applying a new localized generalization error model to design neural networks trained with extreme learning machine Neural Computing and Applications ·Qiang Liu, Jianping Yin, Victor C. M. Leung, Junhai Zhai, Zhiping Cai, Jiarun Lin	2014	38
16	Confidence–accuracy inversions in scene recognition: A remember–know analysis. Journal of Experimental Psychology Learning Memory and Cognition ·Ian G. Dobbins, Neal E. A. Kroll, Qiang Liu	1998	36
17	Scoring Workers in Crowdsourcing: How Many Control Questions are Enough? Neural Information Processing Systems ·Qiang Liu, Alexander Ihler, Mark Steyvers	2013	35
18	Diamond: An Improved Fat-tree Architecture for Large-scale Data Centers Journal of Communications ·Yantao Sun, Jing Chen, Qiang Liu, Weiwei Fang	2014	33
19	MaxUp: Lightweight Adversarial Training with Data Augmentation Improves Neural Network Training Chengyue Gong, Tongzheng Ren, Mao Ye, Qiang Liu	2021	31
20	Random Fourier extreme learning machine with ℓ2,1-norm regularization Neurocomputing ·Sihang Zhou, Xinwang Liu, Qiang Liu, Siqi Wang, Chengzhang Zhu, Jianping Yin	2015	30

About Qiang Liu

Qiang Liu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Information Systems and Signal Processing, having authored 164 papers that have together received 2.9k indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (15 papers), Face and Expression Recognition (13 papers), Machine Learning and ELM (13 papers), Advanced Neural Network Applications (11 papers), Advanced Image and Video Retrieval Techniques (11 papers), Recommender Systems and Techniques (11 papers), Domain Adaptation and Few-Shot Learning (10 papers) and Anomaly Detection Techniques and Applications (10 papers). The work is most often cited by research in Artificial Intelligence (1.5k citations), Computer Vision and Pattern Recognition (887 citations), Signal Processing (395 citations), Computational Mathematics (19 citations) and Computer Networks and Communications (628 citations). Qiang Liu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Jianjing Cui, Erxue Min, Jun Long, Shu Wu, Jianping Yin, Xifeng Guo, Gen Zhang, Wentao Zhao, Victor C. M. Leung and Pan Li. Their work appears in journals such as IEEE Access, Remote Sensing, Neurocomputing, IEEE Transactions on Knowledge and Data Engineering and Computational Intelligence and Neuroscience.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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Qiang Liu's Hit Papers

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All Works

About Qiang Liu

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