Lingqiao Liu

9.7k total citations · 5 hit papers
105 papers, 4.7k citations indexed

About

Lingqiao Liu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Lingqiao Liu has authored 105 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Computer Vision and Pattern Recognition, 62 papers in Artificial Intelligence and 6 papers in Signal Processing. Recurrent topics in Lingqiao Liu's work include Domain Adaptation and Few-Shot Learning (36 papers), Advanced Image and Video Retrieval Techniques (28 papers) and Multimodal Machine Learning Applications (22 papers). Lingqiao Liu is often cited by papers focused on Domain Adaptation and Few-Shot Learning (36 papers), Advanced Image and Video Retrieval Techniques (28 papers) and Multimodal Machine Learning Applications (22 papers). Lingqiao Liu collaborates with scholars based in Australia, China and United States. Lingqiao Liu's co-authors include Chunhua Shen, Anton van den Hengel, Lei Wang, Dong Gong, Svetha Venkatesh, Vuong Le, Budhaditya Saha, Moussa Reda Mansour, Ian Reid and Xinwang Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and ACS Applied Materials & Interfaces.

In The Last Decade

Lingqiao Liu

100 papers receiving 4.6k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Memorizing Normality to Detect Anomaly: Memory-Augmented Deep Autoencoder for Unsupervised Anomaly Detection

2019 1.0k citations Lingqiao Liu, Anton van den Hengel et al. profile →
What Value Do Explicit High Level Concepts Have in Vision to Language Problems?

2016 315 citations Chunhua Shen, Lingqiao Liu et al. Adelaide Research & Scholarship (AR&S) (University of Adelaide) profile →
In defense of soft-assignment coding

2011 305 citations Lingqiao Liu et al. Adelaide Research & Scholarship (AR&S) (University of Adelaide) profile →
Self-supervised Learning of Adversarial Example: Towards Good Generalizations for Deepfake Detection

2022 154 citations Lingqiao Liu et al. profile →
ZegCLIP: Towards Adapting CLIP for Zero-shot Semantic Segmentation

2023 109 citations Yinjie Lei, Lingqiao Liu et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Lingqiao Liu Australia	32	2.9k	2.4k	584	583	336	105	4.7k
Yang Cong China	31	2.0k 0.7×	1.8k 0.8×	381 0.7×	498 0.9×	231 0.7×	147	3.8k
Qinfeng Shi Australia	35	3.4k 1.2×	1.9k 0.8×	345 0.6×	256 0.4×	259 0.8×	124	5.4k
Shenghua Gao China	41	4.4k 1.5×	3.4k 1.4×	857 1.5×	1.6k 2.7×	211 0.6×	111	6.7k
Zhun Zhong China	25	4.2k 1.4×	1.3k 0.5×	1.3k 2.3×	198 0.3×	215 0.6×	77	5.3k
Xi Peng China	43	4.7k 1.6×	3.1k 1.3×	345 0.6×	448 0.8×	156 0.5×	163	6.7k
Ge Li China	31	2.7k 0.9×	1.7k 0.7×	277 0.5×	463 0.8×	202 0.6×	257	5.1k
Naiyan Wang China	32	4.1k 1.4×	1.7k 0.7×	295 0.5×	160 0.3×	830 2.5×	62	6.1k
Mingli Song China	40	3.9k 1.3×	1.5k 0.6×	353 0.6×	129 0.2×	202 0.6×	237	5.5k
Chengjie Wang China	34	2.4k 0.8×	1.6k 0.6×	248 0.4×	127 0.2×	203 0.6×	144	4.0k
Lei Zhu China	42	4.2k 1.5×	2.8k 1.2×	159 0.3×	161 0.3×	194 0.6×	206	6.3k

Countries citing papers authored by Lingqiao Liu

Since Specialization

Citations

This map shows the geographic impact of Lingqiao 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 Lingqiao Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lingqiao Liu more than expected).

Fields of papers citing papers by Lingqiao Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lingqiao 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 Lingqiao Liu. The network helps show where Lingqiao Liu may publish in the future.

Co-authorship network of co-authors of Lingqiao Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Lingqiao Liu. A scholar is included among the top collaborators of Lingqiao Liu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lingqiao Liu. Lingqiao Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Pang, Guansong, Chenchen Jing, Yuling Xi, et al.. (2025). CoLeCLIP: Open-Domain Continual Learning via Joint Task Prompt and Vocabulary Learning. IEEE Transactions on Neural Networks and Learning Systems. 36(8). 15137–15151. 1 indexed citations

Liu, Lingqiao, et al.. (2025). Generalizable Person Re-Identification From a 3D Perspective: Addressing Unpredictable Viewpoint Changes. IEEE Transactions on Information Forensics and Security. 20. 6576–6591.

Chang, Ruidong, et al.. (2024). Challenges of Automating Interior Construction Progress Monitoring. Journal of Construction Engineering and Management. 150(9).

Wu, Lin, Lingqiao Liu, Yang Wang, et al.. (2023). Learning Resolution-Adaptive Representations for Cross-Resolution Person Re-Identification. IEEE Transactions on Image Processing. 32. 4800–4811. 24 indexed citations

Qi, Yuankai, et al.. (2023). A Generative Approach for Comprehensive Financial Event Extraction at the Document Level. 323–330. 2 indexed citations

Liu, Lingqiao, et al.. (2023). Revisiting Image Reconstruction for Semi-supervised Semantic Segmentation. 31. 32–40. 2 indexed citations

Xie, Yutong, Jianpeng Zhang, Lingqiao Liu, et al.. (2023). ReFs: A hybrid pre-training paradigm for 3D medical image segmentation. Medical Image Analysis. 91. 103023–103023. 6 indexed citations

Liu, Lingqiao, et al.. (2022). Computationally Efficient Dilated Convolutional Model for Melody Extraction. IEEE Signal Processing Letters. 29. 1599–1603. 2 indexed citations

Liu, Deyin, Lin Wu, Feng Zheng, Lingqiao Liu, & Meng Wang. (2022). Verbal-Person Nets: Pose-Guided Multi-Granularity Language-to-Person Generation. IEEE Transactions on Neural Networks and Learning Systems. 34(11). 8589–8601. 25 indexed citations

10.

Liu, Lingqiao, et al.. (2022). Astock: A New Dataset and Automated Stock Trading based on Stock-specific News Analyzing Model. 178–186. 7 indexed citations

11.

Li, Qian, et al.. (2021). Semi-Supervised Adversarial Learning for Attribute-Aware Photo Aesthetic Assessment. IEEE Transactions on Multimedia. 26. 4086–4096. 10 indexed citations

12.

Zhuang, Bohan, Mingkui Tan, Jing Liu, et al.. (2021). Effective Training of Convolutional Neural Networks With Low-Bitwidth Weights and Activations. IEEE Transactions on Pattern Analysis and Machine Intelligence. 44(10). 6140–6152. 24 indexed citations

13.

Peng, Duo, Yinjie Lei, Lingqiao Liu, Pingping Zhang, & Jun Liu. (2021). Global and Local Texture Randomization for Synthetic-to-Real Semantic Segmentation. IEEE Transactions on Image Processing. 30. 6594–6608. 59 indexed citations

14.

Liu, Lingqiao, et al.. (2021). Don’t Miss the Labels: Label-semantic Augmented Meta-Learner for Few-Shot Text Classification. 2773–2782. 37 indexed citations

15.

Zhang, Lei, Peng Wang, Lingqiao Liu, et al.. (2020). Towards Effective Deep Embedding for Zero-Shot Learning. IEEE Transactions on Circuits and Systems for Video Technology. 30(9). 2843–2852. 56 indexed citations

16.

Wang, Peng, et al.. (2020). Where to Look and How to Describe: Fashion Image Retrieval With an Attentional Heterogeneous Bilinear Network. IEEE Transactions on Circuits and Systems for Video Technology. 31(8). 3254–3265. 33 indexed citations

17.

Chen, Yu, Chunhua Shen, Hao Chen, et al.. (2019). Adversarial Learning of Structure-Aware Fully Convolutional Networks for Landmark Localization. IEEE Transactions on Pattern Analysis and Machine Intelligence. 42(7). 1654–1669. 28 indexed citations

18.

Zhuang, Bohan, Lingqiao Liu, Mingkui Tan, Chunhua Shen, & Ian Reid. (2019). Training Quantized Network with Auxiliary Gradient Module.. arXiv (Cornell University). 1 indexed citations

19.

Lei, Yinjie, et al.. (2019). Deep point-to-subspace metric learning for sketch-based 3D shape retrieval. Pattern Recognition. 96. 106981–106981. 31 indexed citations

20.

Zhuang, Bohan, Chunhua Shen, Mingkui Tan, Lingqiao Liu, & Ian Reid. (2018). Towards Effective Low-Bitwidth Convolutional Neural Networks. Adelaide Research & Scholarship (AR&S) (University of Adelaide). 7920–7928. 147 indexed citations

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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